Artigos de revistas sobre o tema "Environmental management – remote sensing"
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Herbei, Mihai Valentin, Roxana Herbei, Laura Smuleac e Tudor Salagean. "Using Remote Sensing Techniques in Environmental Management". Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture 73, n.º 2 (30 de novembro de 2016): 230. http://dx.doi.org/10.15835/buasvmcn-agr:12441.
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The Geographical Information Systems technology is used in many fields where the spatial information is very important and relevant, that means in all fields that use a system for saving, analyzing and representing the data which are processed. The aim of this paper is using modern technology for monitoring the environment. Geographical Information System together with remote sensing have a very important role in decision process regarding the environment. Integration of remote sensing images in a Geographical Information System which enables complex spatial analysis is a useful and modern solution for environmental management and decision-making process. Satellite images contain various information that can support environmental monitoring, images that can be analyzed and interpreted in various ways by using the Geographical Information System tools.
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Tu, Thanh Tri. "Application of Remote Sensing for Environmental Management in Vietnam". European Modern Studies Journal 7, n.º 2 (22 de maio de 2023): 39–46. http://dx.doi.org/10.59573/emsj.7(2).2023.04.
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Remote sensing technology has become an important tool for environmental management in Vietnam. The country has a diverse range of environments, from dense forests to vast agricultural lands and coastlines, making remote sensing an ideal method for monitoring and managing natural resources. In this study, some examples of remote sensing applications for environmental management in Vietnam were studied in detail.
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Dube, Timothy, Munyaradzi D. Shekede e Christian Massari. "Remote Sensing for Water Resources and Environmental Management". Remote Sensing 15, n.º 1 (21 de dezembro de 2022): 18. http://dx.doi.org/10.3390/rs15010018.
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In line with the United Nations Sustainable Development Goal (SDG) 6, the main goal of the Special Issue on “Remote sensing for water resources and environmental management” was to solicit papers from a diverse range of scientists around the world on the use of cutting-edge remote sensing technologies to assess and monitor freshwater quality, quantity, availability, and management to ensure water security. Special consideration was given to scientific manuscripts that covered, but were not limited to, the development of geospatial techniques and remote sensing applications for detecting, quantifying, and monitoring freshwater water resources, identifying potential threats to water resources and agriculture, as well as other themes related to water resources and environmental management at various spatial scales. The Special Issue attracted over thirteen peer-reviewed scientific articles, with the majority of manuscripts originating from China. Most of the studies made use of satellite datasets, ranging from coarse spatial resolution data, such as the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO), to medium spatial resolution data, such as the Landsat series, ERA5, Modern-Era Retrospective Analysis for Research and Application Land version 2 reanalysis product (MERRA2), CLSM and NOAH ET, and MODIS (Moderate Resolution Imaging Spectroradiometer). Google Earth Engine (GEE) data, together with big data processing techniques, such as the remote sensing-based energy balance model (ALEXI/DisALEXI approach) and the STARFM data fusion technique, were used for analyzing geospatial datasets. Overall, this Special Issue demonstrated significant knowledge gaps in various big data image processing techniques and improved computing processes in assessing and monitoring water resources and the environment at various spatial and temporal scales.
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Ampofo, Justice Agyei. "THE USE OF REMOTE SENSING IN GHANA TO SUSTAINABLY MANAGE THE ENVIRONMENT". International Journal of Applied Research in Social Sciences 4, n.º 6 (29 de agosto de 2022): 214–20. http://dx.doi.org/10.51594/ijarss.v4i6.364.
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A prerequisite for achieving the objectives of sustainable development is knowledge of the nature, extent, geographical distribution, along with the potentials and limits of natural resources. The mapping, monitoring, measuring, and management of many elements of the built, natural, and biophysical environments are all made possible through satellite remote sensing. Remote sensing is a crucial tool for advancing solutions and offers useful insights into urgent environmental concerns. Thus, data collection for efficient resource management in Ghana has shown to be greatly aided by remote sensing, which may also be used for environmental monitoring and management. Because of this, it is crucial for remote sensing technology to progress in order to acquire data more effectively and efficiently, which helps with rapid change detection, sustainable environmental management, and sustainability. This review's goal was to provide a thorough analysis of the literature on Ghana's use of remote sensing for environmental management and sustainability. Wiley, Taylor & Francis, Science Direct (Elsevier), and Scopus (Elsevier) were a few of the databases used for the review. The findings indicate that there are numerous remote sensing applications for sustainable environmental management in Ghana, including environmental impact assessments of various projects, analyses of changes in land use and land cover, mapping of watersheds and hydrologic features, estimation of soil loss, management of water resources, management of forestry resources, and management of natural disasters. The outcomes also demonstrate that natural, biophysical, and constructed ecosystems might be appropriately monitored and sustainably managed for the benefit of both the present and future generations with the use of remote sensing technology. Governments, municipal managers, environmentalists, and planners may develop useful plans and strategies for sustainable development and effective environmental management with the aid of the information supplied by remote sensing. Keywords: Ghana, Sustainable Management, Environment, Remote Sensing.
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Kenneth Agbemehia, Ibrahim Abubakari Imoro, Shiraz Yakubu Anas e Ibrahim Issahaku. "The application of remote sensing in sustainable environmental management in Ghana". Engineering Science & Technology Journal 5, n.º 6 (1 de junho de 2024): 1817–25. http://dx.doi.org/10.51594/estj.v5i6.1163.
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One of the most essential tools for environmental management and sustainability in Ghana in recent times is the use of Remote sensing. Ghana is a country blessed with varied natural resources, but anthropogenic activities such as illegal mining, waste management, deforestation and agricultural practices have led to environmental degradation. Remote sensing technology therefore provides a less expensive means of monitoring these activities, assessing their effects on the environment, and providing guiding policy decisions. The aim of this current review is to provide a detailed analysis of literature on the application of remote sensing for environmental management and sustainability. Google scholar, Scopus (Elsevier) and Science Direct (Elsevier), were a few of the databases used for the review. The findings indicate that there are numerous remote sensing applications for sustainable environmental management in Ghana, including examining the state of rural roads, making a foundation map for visual reference, gathering images of earth from space, controlling forest fires, land use and land cover detection, climate change observation, estimating the likelihood of landslides, estimating forest resources, recognizing crop conditions, increasing farming precision, determining the moisture content of the soil, forecasting crop production, crop damage and crop progress. Based on the review it is clear that, the use of remote sensing in environmental management in Ghana has proven to be a valuable tool because it has aided in improving our understanding of environmental dynamics, guiding policy decisions and monitoring the environmental impact of human activities. Remote sensing will continue to play an important role in environmental management in Ghana as technology advances. Keywords: Remote Sensing, Ghana, Environment, Sustainable Management.
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Lougeay, Ray, P. N. Gupta e A. K. Roy. "Mountain Resource Management and Remote Sensing". Mountain Research and Development 16, n.º 3 (agosto de 1996): 329. http://dx.doi.org/10.2307/3673961.
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Verma, Badal, Muskan Porwal, A. K. Jha, R. G. Vyshnavi, Alok Rajpoot e Ashish Kumar Nagar. "Enhancing Precision Agriculture and Environmental Monitoring Using Proximal Remote Sensing". Journal of Experimental Agriculture International 45, n.º 8 (5 de julho de 2023): 162–76. http://dx.doi.org/10.9734/jeai/2023/v45i82168.
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Proximal remote sensing is a cutting-edge technology that has emerged as a powerful tool in precision agriculture and environmental monitoring. By capturing high-resolution data from a close range, it provides valuable insights into crop health, soil conditions, and ecosystem dynamics. This paper explores the applications, advantages, and limitations of proximal remote sensing, focusing on its use in precision agriculture and environmental management. The applications of proximal remote sensing in precision agriculture include crop monitoring, disease detection, and resource optimization. In environmental management, it aids in habitat mapping, biodiversity assessment, and environmental impact analysis. The advantages of proximal remote sensing lie in its high spatial resolution, real-time data acquisition, and flexibility in sensor selection. However, limitations such as limited coverage area and skill requirements need to be considered. The future perspectives of proximal remote sensing encompass advancements in sensor technology, automation, integration with other technologies, and enhanced data storage and analysis. By leveraging these advancements, proximal remote sensing can contribute to more sustainable practices and informed decision-making for a better and resilient future.
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Huang, Shiyuan. "Application of Remote Sensing Technology in the Field of Lake Pollution Control and Monitoring". Highlights in Science, Engineering and Technology 69 (6 de novembro de 2023): 135–41. http://dx.doi.org/10.54097/hset.v69i.11850.
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Lake pollution has always been one of the significant environmental concerns for humanity. This article explores the hazards of lake pollution and analyzes whether remote sensing technology is meaningful for monitoring and controlling lake pollution in the context of abundant remote sensing resources. The results show that remote sensing technology can help people monitor the pollution status of lakes and assess the effectiveness of their management more easily. This article investigates the role of remote sensing technology in eutrophication, organic pollution, and heavy metal contamination, along with the challenges faced. It also examines the application of remote sensing technology in lake degradation, restoration, and management. It concludes that remote sensing technology can indeed play a role in lake pollution monitoring and control, offering benefits such as reduced labor, time, and spatial costs. The article aims to find more reasonable ways to address lake pollution control and lake environmental management issues while minimizing the ecological impacts of lake pollution.
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Wu, Yue, Maoguo Gong, Qiguang Miao e Kai Qin. "Computational Intelligence in Remote Sensing". Remote Sensing 15, n.º 22 (12 de novembro de 2023): 5325. http://dx.doi.org/10.3390/rs15225325.
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With the development of Earth observation techniques, vast amounts of remote sensing data with a high spectral–spatial–temporal resolution are captured all the time, and remote sensing data processing and analysis have been successfully used in numerous fields, including geography, environmental monitoring, land survey, disaster management, mineral exploration and more [...]
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Getie, Sintayehu, Asabeneh Alemayehu e Antensay Mekoya. "Relevance of Remote Sensing and its Applications in Forestry. A Critical Review". East African Journal of Forestry and Agroforestry 7, n.º 1 (13 de março de 2024): 87–112. http://dx.doi.org/10.37284/eajfa.7.1.1818.
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For several nations who are developing, forests play a crucial role in rural life. Due to the incredible challenges associated with staff, logistics, and chronological consistency of field-based surveys for forest management, a variety of sources of data obtained by airborne, space-borne, and terrestrial remote sensing sensors are now essential sources of knowledge for studies on the spatiotemporal patterns of forests. Most recently, understanding of forests and their conservation has been derived primarily from satellite imagery. The process of organizing and carrying out procedures for the management and use of forests can be done with the assistance of remote sensing in order to achieve economic, social, cultural, and environmental goals. Satellite remote sensing has been providing ever-more-advanced knowledge about woodland structure, management, monitoring, and oversight whenever the first civilian earth-observing program was launched. This article reviewed the application of remote sensing on forestry. Data were gathered from published research papers, books, internet resources, and expert observation. Remote sensing’s synoptic view, availability in a rage of spatial-temporal scales, high degree of homogeneity, inexpensiveness as well as the increasing trend in availability make it special in forest science. As observed from the review, remote sensing technology is critical in forest management. It helps to provide up to date information on forest cover change, forest fire, forest disturbance, forest wildlife management, forest biomass and others. Remote sensing is vital in providing scientific information in forest resources monitoring and management
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Jiao, Zehua. "The Application of Remote Sensing Techniques in Ecological Environment Monitoring". Highlights in Science, Engineering and Technology 81 (26 de janeiro de 2024): 449–55. http://dx.doi.org/10.54097/7dqegz64.
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As global environmental challenges continue to escalate, remote sensing technology has become an indispensable tool for researching, monitoring, and managing these issues. This article aims to summarize the principles of various remote sensing technologies, their primary application areas, and their crucial role in ecological and environmental conservation for sustainable development. Remote sensing technology offers a diverse array of data from multiple sources and scales, facilitating the monitoring of natural resource changes, studying ecosystem health, and assessing the impact of human activities on the environment. In-depth exploration of the latest advancements and application cases in remote sensing includes: (1) Vegetation: Applications in vegetation monitoring encompass the use of technologies such as unmanned aerial vehicle (UAV) remote sensing and laser radar (LiDAR) for monitoring forest health, vegetation cover, and changes. These applications support forest management and ecological research. (2) Water Bodies: Thermal infrared remote sensing and satellite remote sensing are utilized to monitor water quality, water level fluctuations, and aid in water resource management, addressing water resource challenges. (3) Soil: Remote sensing technology is employed in soil applications, utilizing multispectral and synthetic aperture radar (SAR) techniques for soil property assessment, soil moisture analysis, and soil erosion prediction. These applications contribute to agricultural and land management decisions, and provide suitable remote sensing technologies for the current trends in the ecological field, serving as a reference for monitoring methods.
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Tang, Yang, Jiongchao Yan, Yueqi Wu, Jie Hong, Lei Xu e Zhangrui Lin. "Design of Remote Sensing Image Data Analysis and Processing Platform Based on Environmental Monitoring". Journal of Physics: Conference Series 2136, n.º 1 (1 de dezembro de 2021): 012056. http://dx.doi.org/10.1088/1742-6596/2136/1/012056.
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Abstract In the continuous innovation of modern technology concept, remote sensing technology as an advanced and practical comprehensive detection technology has been widely used in many fields. Especially for environmental monitoring, the rational use of remote sensing image data analysis and processing platform can not only obtain valuable environmental information, but also provide effective management decisions for climate changeable natural disasters and other issues. Therefore, on the basis of understanding the design scheme of remote sensing image data analysis and processing platform system, this paper makes clear the positive role of remote sensing image processing technology in the development of environmental monitoring based on the application of the platform.
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Henderson, Frederick B. "Remote sensing strategies for global resource exploration and environmental management". Acta Astronautica 20 (janeiro de 1989): 149–64. http://dx.doi.org/10.1016/0094-5765(89)90064-7.
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TUDOR, Alexandru. "REMOTE SENSING IN BIOMETEOROLOGY". Review of the Air Force Academy XX, n.º 2 (3 de fevereiro de 2023): 5–14. http://dx.doi.org/10.19062/1842-9238.2022.20.2.1.
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Remote sensing is a powerful tool used in biometeorology to study the interactions between the atmosphere and living organisms, particularly plants. Through satellite-based sensors, researchers can observe and analyze a range of biophysical parameters related to vegetation, such as leaf area index, biomass, vegetation cover, and land surface temperature. This data can be used to estimate plant growth, productivity, and water use efficiency, as well as monitor environmental conditions, such as drought, heat stress, and air pollution. Remote sensing is used in the development of crop models for agricultural management and to study the impact of climate change on plant communities and ecosystems. By tracking changes in vegetation cover and productivity, as well as changes in phenology, remote sensing helps researchers identify optimal planting times, irrigation schedules, and predict crop yields.
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Liu, Haozhe. "Application and Outlook of Remote Sensing Technology in Water Environment Monitoring". Highlights in Science, Engineering and Technology 69 (6 de novembro de 2023): 174–81. http://dx.doi.org/10.54097/hset.v69i.11901.
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Water environment monitoring is a critical tool for effective environmental protection and management. However, traditional methods often fall short in meeting the requirements of large-scale and real-time monitoring. To overcome these limitations, remote sensing technology has emerged as a non-contact, rapid, and efficient approach, playing a pivotal role in water environment monitoring. This paper provides a comprehensive overview of the principles and methodologies employed in remote sensing technology for monitoring water quality pollutants, detecting changes in water bodies, and preserving wetland ecosystems in the context of water environment monitoring. The practical application and significance of remote sensing technology are exemplified through a range of specific case studies. Moreover, the paper analyzes the existing status and challenges of domestic water environment remote sensing monitoring, while also presenting future development directions. The research and application outlined in this paper serve as a valuable reference, driving innovation and progress in water environment remote sensing monitoring in our country. Additionally, the findings of this study are of great significance in improving the efficiency and effectiveness of water environmental protection and management, as well as promoting the wider application of remote sensing technology within the environmental domain.
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Sridharan, Vamsi Krishna, Saurav Kumar e Swetha Madhur Kumar. "Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management?" Water 14, n.º 13 (21 de junho de 2022): 1985. http://dx.doi.org/10.3390/w14131985.
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Remote sensing has been heralded as the silver bullet in water quality modeling and watershed management, and yet a quantitative mapping of where its applicability is likely and most useful has not been undertaken so far. Here, we combine geospatial models of cloud cover as a proxy for the likelihood of acquiring remote scenes and the shortest time of travel to population centers as a proxy for accessibility to ground-truth remote sensing data for water quality monitoring and produce maps of the potential of remote sensing in watershed management in the United States. We generate several maps with different cost-payoff relationships to help stakeholders plan and incentivize remote sensing-based monitoring campaigns. Additionally, we combine these remote sensing potential maps with spatial indices of population, water demand, ecosystem services, pollution risk, and monitoring coverage deficits to identify where remote sensing likely has the greatest role to play. We find that the Southwestern United States and the Central plains regions are generally suitable for remote sensing for watershed management even under the most stringent costing projections, but that the potential for using remote sensing can extend further North and East as constraints are relaxed. We also find large areas in the Southern United States and sporadic watersheds in the Northeast and Northwest seaboards and the Midwest would likely benefit most from using remote sensing for watershed monitoring. Although developed herein for watershed decision support in the United States, our approach is readily generalizable to other environmental domains and across the world.
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Rai, Ram Kumar, Makhan Singh Karada, Riya Mishra, Dheer Agnihotri, Kamal Kishor Patel, Satyendra Thakur e Deepak Singh. "Transformative Role of Remote Sensing in Advancing Horticulture: Optimizing Sustainability, Efficiency and Resilience". International Journal of Environment and Climate Change 13, n.º 10 (19 de setembro de 2023): 3559–67. http://dx.doi.org/10.9734/ijecc/2023/v13i103026.
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The field of horticulture, vital for addressing global challenges like food security and sustainable agriculture, has been revolutionized by remote sensing technology. This comprehensive review explores the transformative impact of remote sensing on horticulture, emphasizing its role in optimizing resource utilization, promoting environmental sustainability, and mitigating the effects of climate change. Remote sensing, encompassing a range of sensors, satellites, and data analysis techniques, enables the collection of critical information from a distance, providing insights into crop health, soil conditions, water availability, and more. Precision agriculture, including the use of GPS and GIS, is integrated with remote sensing to enhance agricultural efficiency while minimizing environmental impacts. Site-Specific Crop Management (SSCM) is highlighted as a key component of precision agriculture, enabled by geospatial technologies, including remote sensing. It discusses how remote sensing systems, with their multispectral and multi-temporal capabilities, support various horticultural applications such as crop yield estimation, abiotic and biotic stress management, crop classification, canopy measurement, crop area estimation, and even crop insurance validation. The use of Geographic Information Systems (GIS) and the Global Positioning System (GPS) in tandem with remote sensing is explored in the context of spatial analysis, mapping, and precise navigation.
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Marghany, Maged. "Oil Spills and Remote Sensing Monitoring Challenges". International Journal of Oceanography & Aquaculture 7, n.º 1 (2023): 1–12. http://dx.doi.org/10.23880/ijoac-16000234.
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This article has illustrated a handful of other concepts in addition to oil spills. This study investigated the harm caused by oil spills in a region, as well as the consequences of oil exploration and extraction on the environment, economy, and politics. The concept of oil spills, their causes, their different types, and the impacts of these calamities on the marine ecosystem are all covered in detail in this review. Oil spill management and response are essential for the environment and society. This review also provides basic information on monitoring oil spills from space. Optical and microwave remote sensing techniques have been used to address oil spill monitoring issues. The possibility of false alarms from lookalikes is the main problem when using radar and microwave data to monitor an oil spill. Therefore, numerous issues must be addressed to detect oil spills in space. It is crucial to combine these technologies with additional approaches such as in situ measurements and ground-based observations.
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Farooq, Bazila, e Ankush Manocha. "A Comparative Study of Deep Learning and Traditional Methods for Environmental Remote Sensing". ITM Web of Conferences 56 (2023): 03002. http://dx.doi.org/10.1051/itmconf/20235603002.
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Because of the accessibility of massive data from remote sensing data and developments in ML, machine learning (ML) techniques have been extensively applied in environmental remote sensing research. Modern machine learning (ML) frameworks like deep learning (DL) have significantly outperformed older models in terms of performance. This study focuses on the software that uses a traditional neural network (NN) as well as Deep Learning (DL) approaches in environmental remote sensing, which also covers land cover mapping, retrieval of environmental parameters, data fusion, image compression, and information reconstruction and prediction. It is also explained how DL may be used to monitor other aspects of the ecosystem, including the environment, water management, ground and air surface temperatures, transpiration, ultraviolet (UV) rays, and sea color all factors to consider. Following that, the essay explores the challenges and prospective uses of DL in environmental remote sensing.
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Marques, Pedro, Luís Pádua, Joaquim J. Sousa e Anabela Fernandes-Silva. "Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review". Remote Sensing 16, n.º 8 (9 de abril de 2024): 1324. http://dx.doi.org/10.3390/rs16081324.
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This systematic review explores the role of remote sensing technology in addressing the requirements of sustainable olive growing, set against the backdrop of growing global food demands and contemporary environmental constraints in agriculture. The critical analysis presented in this document assesses different remote sensing platforms (satellites, manned aircraft vehicles, unmanned aerial vehicles and terrestrial equipment) and sensors (RGB, multispectral, thermal, hyperspectral and LiDAR), emphasizing their strategic selection based on specific study aims and geographical scales. Focusing on olive growing, particularly prominent in the Mediterranean region, this article analyzes the diverse applications of remote sensing, including the management of inventory and irrigation; detection/monitoring of diseases and phenology; and estimation of crucial parameters regarding biophysical parameters, water stress indicators, crop evapotranspiration and yield. Through a global perspective and insights from studies conducted in diverse olive-growing regions, this review underscores the potential benefits of remote sensing in shaping and improving sustainable agricultural practices, mitigating environmental impacts and ensuring the economic viability of olive trees.
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Niu, X., e Y. Li. "REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (21 de agosto de 2020): 733–37. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-733-2020.
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Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.
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Gillespie, Thomas W. "Remote sensing of animals". Progress in Physical Geography: Earth and Environment 25, n.º 3 (setembro de 2001): 355–62. http://dx.doi.org/10.1177/030913330102500303.
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The improved accuracy and precision of animal tracking via satellites has made a significant impact on quantifying large-scale biogeographic patterns for a variety of taxa with important implications for conservation and natural resource management. This paper reviews research undertaken from 1995 to 1999 to provide an overview of advances in the remote sensing of animal movements in both terrestrial and marine environments and to identify promising trends for biogeographic research in the twenty-first century. Remote sensing of animals by satellite provides a new method to test a number of biogeographic hypotheses related to migration and can identify a number of environmental correlates associated with the distributions of species. Tracking of smaller species and increases in sample size are sure to occur as transmitter size and cost continue to decrease in the next decade. Geographers can significantly contribute to the understanding of species dispersal and distributional patterns by combining real-time and archived global and regional datasets with existing data from past studies and future research projects. Only four studies used GIS data or remote sensed imagery in this review, while the remaining studies cited used simple digital line graphs of countries, topography, land and sea boundaries.
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Ahmadi, Ahmad Basir, Mustafa Mohammadi, Zabihullah Nadry, Abdulrazaq Nazari e Sohaila Arghawan. "Unveiling the Complexity of Earth's Dynamic Ecosystems: Harnessing the Power of Remote Sensing for Environmental Analysis". Indonesian Journal of Earth Sciences 3, n.º 2 (21 de dezembro de 2023): A827. http://dx.doi.org/10.52562/injoes.2023.827.
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Remote sensing has become an indispensable tool within geographic studies, fundamentally reshaping our understanding of the Earth's dynamic processes and surface. This comprehensive review article explores the diverse and multifaceted applications of remote sensing across various geographic disciplines. It commences by providing a comprehensive overview of the evolution and underpinning technology of remote sensing. Subsequently, the paper proceeds to delve into the methodological intricacies commonly employed in remote sensing studies, followed by an in-depth and systematic review of relevant literature. This meticulous review elucidates key findings and pioneering advancements and highlights the prevalent challenges experienced in diverse geographic domains. The empirical outcomes of this review underscore the profound importance of remote sensing as an invaluable tool for mapping vegetation areas. Furthermore, the findings gleaned from this extensive inquiry underscore the considerable contribution of remote sensing in enhancing our understanding of urban studies. This manifests through its capacity to furnish detailed insights into urban morphology, land use patterns, and the dynamic urban growth processes. The research outcomes vividly illustrate that water resources management derives substantial benefits from the intrinsic capabilities of remote sensing. Its capacity to capture and provide crucial water quality parameters and aquatic ecosystems empowers water resource professionals with a wealth of indispensable data. Moreover, the findings of this comprehensive review concretely establish the irreplaceable role of remote sensing in assessing natural hazards, spanning from landslides to volcanic activity. The empirical evidence presented is a testament to the importance of integrating remote sensing data with Geographic Information Systems (GIS). This interaction has revolutionized spatial data analysis and visualization, underscoring the transformative potential of combining these two technological domains.
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Johansen, K., C. Roelfsema e S. Phinn. "High spatial resolution remote sensing for environmental monitoring and management preface:". Journal of Spatial Science 53, n.º 1 (junho de 2008): 43–47. http://dx.doi.org/10.1080/14498596.2008.9635134.
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Li, Yuanrui, Qichao Zhou, Yun Zhang, Jingyi Li e Kun Shi. "Research Trends in the Remote Sensing of Phytoplankton Blooms: Results from Bibliometrics". Remote Sensing 13, n.º 21 (2 de novembro de 2021): 4414. http://dx.doi.org/10.3390/rs13214414.
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Phytoplankton blooms have caused many serious public safety incidents and eco-environmental problems worldwide and became a focus issue for research. Accurate and rapid monitoring of phytoplankton blooms is critical for forecasting, treating, and management. With the advantages of large spatial coverage and high temporal resolution, remote sensing has been widely used to monitor phytoplankton blooms. Numerous advances have been made in the remote sensing of phytoplankton blooms, biomass, and phenology over the past several decades. To fully understand the development history, research hotspots, and future trends of remote-sensing technology in the study of phytoplankton blooms, we conducted a comprehensive review to systematically analyze the research trends in the remote sensing of phytoplankton blooms through bibliometrics. Our findings showed that research on the use of remote-sensing technology in this field increased substantially in the past 30 years. “Oceanography,” “Environmental Sciences,” and “Remote Sensing” are the most popular subject categories. Remote Sensing of Environment, Journal of Geophysical Research: Oceans, and International Journal of Remote Sensing were the journals with the most published articles. The results of the analysis of international influence and cooperation showed that the United States had the greatest influence in this field and that the cooperation between China and the United States was the closest. The Chinese Academy of Sciences published the largest number of papers, reaching 542 articles. Keyword and topic analysis results showed that “phytoplankton,” “chlorophyll,” and “ocean” were the most frequently occurring keywords, while “eutrophication management and monitoring,” “climate change,” “lakes,” and “remote-sensing algorithms” were the most popular research topics in recent years. Researchers are now paying increasing attention to the phenological response of phytoplankton under the conditions of climate change and the application of new remote-sensing methods. With the development of new remote-sensing technology and the expansion of phytoplankton research, future research should focus on (1) accurate observation of phytoplankton blooms; (2) the traits of phytoplankton blooms; and (3) the drivers, early warning, and management of phytoplankton blooms. In addition, we discuss the future challenges and opportunities in the use of remote sensing in phytoplankton blooms. Our review will promote a deeper and wider understanding of the field.
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Raja, Piyush, Dr Santosh Kumar, Digvijay Singh Yadav, Dr Amit Kumar e Ram Krishna Kumar. "Intelligent Remote Sensing: Applications and Techniques". Journal of Image Processing and Intelligent Remote Sensing, n.º 32 (31 de março de 2023): 46–53. http://dx.doi.org/10.55529/jipirs.32.46.53.
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The development of remote sensing technologies over the last several decades has resulted in considerable improvements, which have made it possible for us to gather data of a high quality about the surface of the Earth and the characteristics it has. Yet, in terms of data processing and interpretation, the enormous volumes of data that are created by remote sensing devices provide a tremendous problem. The purpose of this paper is to provide a review of the most recent and cutting-edge techniques and applications of intelligent remote sensing. These techniques and applications aim to address these challenges by integrating machine learning, artificial intelligence, and other advanced computing techniques into the processing and analysis of remote sensing data. In this article, we will go through the fundamental components of intelligent remote sensing. These components include data collecting, data preprocessing, feature extraction, classification, and prediction. We also emphasize the potential of intelligent remote sensing in the management of real-world issues such as environmental monitoring, mapping land use and land cover, disaster management, and the mitigation of climate change.
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Zhang, Xinkai, e Jie Yin. "Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds". Transactions on Computer Science and Intelligent Systems Research 3 (10 de abril de 2024): 110–16. http://dx.doi.org/10.62051/fpa2dm58.
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This article provides a comprehensive discussion of the application and importance of sea surface temperature (SST) remote sensing data in environmental assessment of fisheries. By analysing the collection, processing and practical application of SST data, the article demonstrates how this technology can help scientists and fisheries managers to better understand the impacts of ocean temperature changes on fisheries resources and its role in ensuring the sustainability of global fisheries. The article begins by describing the importance of the marine environment to fishery resources and explains the development of SST remote sensing technology and its application to fishery location and environmental monitoring. The article then discusses in detail the application of SST data in practical fisheries management, in particular how it can help predict fish migration, optimise fishing activities, and assess the impacts of climate change on marine ecosystems. In addition, the article explores the main challenges faced when applying SST data, such as technical limitations, complexity of data interpretation, and unequal access on a global scale. Overall, this article highlights the indispensable role of SST remote sensing data in modern fisheries management, while also pointing out the limitations of its application and future directions. With the continuous advancement of remote sensing technology and the ongoing impact of global climate change, SST data are expected to play an increasingly important role in future fisheries environmental assessment and resource management.
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Spitzer, D. "On applications of remote sensing for environmental monitoring". Environmental Monitoring and Assessment 7, n.º 3 (novembro de 1986): 263–71. http://dx.doi.org/10.1007/bf00418019.
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Zhang, Hengpan, e Jiahua Li. "Application and progress of water colour remote sensing technology in monitoring chlorophyll concentration changes in seawater". Transactions on Computer Science and Intelligent Systems Research 3 (10 de abril de 2024): 102–9. http://dx.doi.org/10.62051/vag1mq54.
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This paper provides an in-depth discussion on the application and progress of water colour remote sensing technology in monitoring changes in chlorophyll concentration in seawater. The hydrochromatic remote sensing technique uses spectral data acquired by remote sensing satellites and airborne platforms to monitor and analyse the distribution of marine chlorophyll, which is of great significance for understanding and protecting marine ecosystems. The article first introduces the basic principles and development history of this technology, and then discusses in detail its applications in global ocean monitoring, including resource management, environmental assessment, and ecological protection. In the discussion, we highlight the advantages of water colour remote sensing technology in providing large-scale and efficient ocean monitoring, while also pointing out the challenges it faces in terms of data accuracy, atmospheric disturbance handling and algorithm development. In particular, these challenges are gradually being overcome with the application of advanced computational techniques, such as machine learning and artificial intelligence, resulting in significant improvements in monitoring accuracy and efficiency. Finally, this paper looks at the future direction of water colour remote sensing technology, including technological innovation, data integration and interdisciplinary collaboration, highlighting the potential value of this technology in addressing global climate change and marine environmental protection. Through this comprehensive analysis, we have gained a deeper understanding and appreciation of the important role of water colour remote sensing technology in global ocean monitoring and management.
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El Mahrad, Badr, Alice Newton, John D. Icely, Ilias Kacimi, Samuel Abalansa e Maria Snoussi. "Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review". Remote Sensing 12, n.º 14 (18 de julho de 2020): 2313. http://dx.doi.org/10.3390/rs12142313.
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Coastal and marine management require the evaluation of multiple environmental threats and issues. However, there are gaps in the necessary data and poor access or dissemination of existing data in many countries around the world. This research identifies how remote sensing can contribute to filling these gaps so that environmental agencies, such as the United Nations Environmental Programme, European Environmental Agency, and International Union for Conservation of Nature, can better implement environmental directives in a cost-effective manner. Remote sensing (RS) techniques generally allow for uniform data collection, with common acquisition and reporting methods, across large areas. Furthermore, these datasets are sometimes open-source, mainly when governments finance satellite missions. Some of these data can be used in holistic, coastal and marine environmental management frameworks, such as the DAPSI(W)R(M) framework (Drivers–Activities–Pressures–State changes–Impacts (on Welfare)–Responses (as Measures), an updated version of Drivers–Pressures–State–Impact–Responses. The framework is a useful and holistic problem-structuring framework that can be used to assess the causes, consequences, and responses to change in the marine environment. Six broad classifications of remote data collection technologies are reviewed for their potential contribution to integrated marine management, including Satellite-based Remote Sensing, Aerial Remote Sensing, Unmanned Aerial Vehicles, Unmanned Surface Vehicles, Unmanned Underwater Vehicles, and Static Sensors. A significant outcome of this study is practical inputs into each component of the DAPSI(W)R(M) framework. The RS applications are not expected to be all-inclusive; rather, they provide insight into the current use of the framework as a foundation for developing further holistic resource technologies for management strategies in the future. A significant outcome of this research will deliver practical insights for integrated coastal and marine management and demonstrate the usefulness of RS to support the implementation of environmental goals, descriptors, targets, and policies, such as the Water Framework Directive, Marine Strategy Framework Directive, Ocean Health Index, and United Nations Sustainable Development Goals. Additionally, the opportunities and challenges of these technologies are discussed.
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Brilis, G. "Remote Sensing Tools Assist in Environmental Forensics:Part II—Digital Tools". Environmental Forensics 2, n.º 3 (setembro de 2001): 223–29. http://dx.doi.org/10.1006/enfo.2000.0033.
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Amusuk, Danboyi Joseph, Mazlan Hashim, Amin Beiranvand Pour e Jabar Habashi. "Regional Mapping of Basement Lithologies Using Geospatial Data in Semi-Arid Regions: Techniques, Advancements and Applications". Advances in Geological and Geotechnical Engineering Research 6, n.º 2 (13 de junho de 2024): 12–40. http://dx.doi.org/10.30564/agger.v6i2.6130.
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Lithological mapping in semi-arid regions has witnessed a phase of transformation due to advancement in remote sensing technology. This has permitted a more comprehensive understanding of surface lithological units. This review explores the evolution of remote sensing mapping techniques and their diverse uses at semi-arid regions, underscoring the significance of the mapping procedure and the prospects. Remote sensing technology has been advancing with moderate to high resolution spaceborne and airborne sensors, unmanned aerial vehicle (UAV) technology and LiDAR (light detection and ranging). These have significantly enhanced capacity, accuracy and the scope of lithological mapping procedures. Especially, the advancement of machine learning and Artificial Intelligent (AI) in automated remote sensing data analysis has ignited more precise ways of identifying and classification of lithological units. Using hybrid remote sensing/machine learning mapping techniques has extended the horizon of geological studies where mineral exploration, water resource management, land use planning, environmental assessments, and risk mitigation are particularly considered. The maps derived provide deeper insights into accurate delineation of mineral deposits, identification of potential sources of water, and aiding those making informed decision making for land development and resource management. The importance of hybrid remote sensing/ machine learning techniques lies with the profound contributions made through geological history, resource exploration, environmental preservation, and risk management directed to fragile ecosystems such as semi-arid environments. The future of the hybrid methodologies holds promise for further advancements in integrating various data sources, exploitation of their contextual properties, refining AI algorithms for faster and more accurate analysis, and methodologies that are specific to environments. These evolving technologies and diverse applications present a trajectory targeted at more comprehensive utilization of geological resources and improvement of environmental stewardship even to fragile regions.
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Pettorelli, Nathalie, Kamran Safi e Woody Turner. "Satellite remote sensing, biodiversity research and conservation of the future". Philosophical Transactions of the Royal Society B: Biological Sciences 369, n.º 1643 (26 de maio de 2014): 20130190. http://dx.doi.org/10.1098/rstb.2013.0190.
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Assessing and predicting ecosystem responses to global environmental change and its impacts on human well-being are high priority targets for the scientific community. The potential for synergies between remote sensing science and ecology, especially satellite remote sensing and conservation biology, has been highlighted by many in the past. Yet, the two research communities have only recently begun to coordinate their agendas. Such synchronization is the key to improving the potential for satellite data effectively to support future environmental management decision-making processes. With this themed issue, we aim to illustrate how integrating remote sensing into ecological research promotes a better understanding of the mechanisms shaping current changes in biodiversity patterns and improves conservation efforts. Added benefits include fostering innovation, generating new research directions in both disciplines and the development of new satellite remote sensing products.
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Niel, T. G. Van, e T. R. McVicar. "Current and potential uses of optical remote sensing in rice-based irrigation systems: a review". Australian Journal of Agricultural Research 55, n.º 2 (2004): 155. http://dx.doi.org/10.1071/ar03149.
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For high water usage cropping systems such as irrigated rice, the positive outcomes of producing a staple food source and sustaining the economy often come at the cost of high resource use and environmental degradation. Advances in geospatial technology will play an increasingly important role in raising productivity and resource use efficiency and reducing environmental degradation, both worldwide and within Australia. This paper reviews the current use of one of these technologies, remote sensing, with the rice-growing region in Australia as a case study. Specifically, we review applications of remote sensing in crop identification, area measurement, regional yield forecasting, and on-farm productivity monitoring and management. Within this context, consideration is given to classification algorithms and accuracy assessment, hyperspectral remote sensing, positional and areal accuracy, linear mixture modelling, methane (CH4) emissions, yield forecasting techniques, and precision agriculture. We also discuss the potential for using remote sensing to assess crop water use, which has received little attention in rice-based irrigation systems, even though it is becoming increasingly important in land and water management planning for irrigation areas. Accordingly, special attention is given to the role of remote sensing with respect to the surface energy balance, the relationship between surface temperature and remotely sensed vegetation indices, and water use efficiency. A general discussion of other geospatial issues, namely geographic information systems and spatial interpolation, is provided because earth-science analysis using remote sensing is often intrinsically integrated with other spatially based technologies and aspects of geographical science.
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Rothe, Delf. "Seeing like a satellite: Remote sensing and the ontological politics of environmental security". Security Dialogue 48, n.º 4 (23 de junho de 2017): 334–53. http://dx.doi.org/10.1177/0967010617709399.
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The article furthers the debate on environmental security by highlighting the role of visual technologies such as satellite remote sensing in the construction of threats and risks. It provides a rereading of the critical literature on environmental security through the lens of Actor-Network Theory and argues for understanding environmental security as a form of ontological politics. A theoretical framework around the notion of visual assemblage is developed that accounts for the hybrid, socio-technical character of visual technologies like satellite remote sensing, and shows how these render environmental risks and threats visible, intelligible, and thereby governable. Equipped with this framework, the article traces the development of a visual assemblage of satellite remote sensing from the early days of the Cold War until today and reveals its close co-evolution with environmental security discourses and practices. Three major contemporary remote sensing projects are analyzed to reveal how this global visual assemblage enacts multiple versions of environmental security: as resilience of local populations and ecosystems, as a series of local risk factors that become manageable through market-based risk management, and through a ‘meteorology of security’ based on the collection, harmonization, and automated analysis of big (environmental) data from multiple sources.
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Tri, Tu Thanh. "Remote Sensing Information System in Vietnam and Its Application: A Minireview". European Modern Studies Journal 7, n.º 1 (3 de maio de 2023): 163–68. http://dx.doi.org/10.59573/emsj.7(1).2023.14.
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This study presents a minireview of remote sensing information systems and their application in Viet Nam. This tool plays a vital role in the management of natural resources, land use planning, environmental monitoring, disaster management, and many other applications. Its widespread application in various fields has helped to improve the efficiency and effectiveness of resource management and environmental protection.
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Phinn, Stuart. "Guest Editorial: Coastal Aquatic Remote Sensing Applications for Environmental Monitoring and Management". Journal of Applied Remote Sensing 1, n.º 1 (1 de dezembro de 2007): 011599. http://dx.doi.org/10.1117/1.2835115.
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Wang, Kai, Steven E. Franklin, Xulin Guo, Yuhong He e Gregory J. McDermid. "Problems in remote sensing of landscapes and habitats". Progress in Physical Geography: Earth and Environment 33, n.º 6 (14 de outubro de 2009): 747–68. http://dx.doi.org/10.1177/0309133309350121.
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Wildlife habitat mapping strongly supports applications in natural resource management, environmental conservation, impacts of anthropogenic activity, perturbed ecosystem restoration, species-at-risk recovery and species inventory. Remote sensing has long been identified as a feasible and effective technology for large-area habitat mapping. However, existing and future uncertainties in remote sensing will definitely have a significant effect on the relevant scientific research. This article attempts to identify the current challenges and opportunities in remote sensing for large-area wildlife habitat mapping, and accordingly provide possible solutions and directions for further research.
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Nandini, N., Aboud S. Jumbe, Sucharita Tandon e Sunita N. "Application of Remote Sensing, GIS, and GPS Technology on Environment and Earth's Natural Resources Management An Introduction". Mapana - Journal of Sciences 6, n.º 1 (31 de maio de 2007): 96–117. http://dx.doi.org/10.12723/mjs.10.8.
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Remote sensing data have been used to derive thematic information of various natural resources and environment.The type and level of information extracted depends on the expertise of the analyst and what he/she is looking for in the data.An application in remote sensing is the practical use to which a series of aerial satellite images are put. The application of remote sensing or earth observation techniques to atmospheric, Earth and environmental sciences can vary according to the final user's requirements.The utilization of remote sensing data can be broadly classified into three categories as a baseline data generator for a variety of environmental resources; as a tool to monitor change detection, Environmental monitoring, and for mapping purposes. Different environmental applications require different frequencies of information updates for monitoring to be effective. Environment phenomena such as weather systems, natural hazards, and other rarely extreme events such as tsunamis; pollution or oceanographic events are very dynamic and rapidly develop over minutes and hours. Therefore for satellite data to be useful in their analysis imaging frequency and data delivery has to be atleast several times a day. At present only low spatial resolution meteorological satellite data can meet this need. Other applications such as crop monitoring require better spatial detail but rates of change occur only over a matter of weeks and therefore image updates need not be more frequent than weekly or monthly. This data can be processed, refined, and managed with the use of advanced tools such as Geographic Information System(GIS) and Geographic Positioning System(GPS).
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Valskys, Vaidotas, Zenonas Gulbinas, Maya Stoyneva-Gӓrtner, Blagoy Uzunov, Ričardas Skorupskas, Jūratė Karosienė, Jūratė Kasperovičienė et al. "Application of remote sensing in environmental studies: advantages and challenges". Annual of Sofia University "St. Kliment Ohridski", Faculty of Biology, Book 2 – Botany 106 (2022): 31–44. http://dx.doi.org/10.60066/gsu.biofac.bot.106.31-44.
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Growing concern about environmental challenges has led to the development of new observation tools to perform monitoring and assessment in a broad range of environments, application to conservation management and for mapping of natural resources. Although, the emerging methods and technologies of remote sensing are a powerful tool, they meet some difficulties and limitations in their real applications. This paper overview several projects and initiatives in Lithuania and Bulgaria related with application of both unmanned aerial vehicles and satellite imagery in various types of environment assessments. The benefits and limitations that emerged during the investigations have been discussed in the international workshop organised by the EU project of LIFE programme ALGAESERVICE for LIFE.
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Callejas, Ileana A., Liana Huang, Marisol Cira, Benjamin Croze, Christine M. Lee, Taylor Cason, Elizabeth Schiffler et al. "Use of Google Earth Engine for Teaching Coding and Monitoring of Environmental Change: A Case Study among STEM and Non-STEM Students". Sustainability 15, n.º 15 (4 de agosto de 2023): 11995. http://dx.doi.org/10.3390/su151511995.
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Computational skills are advantageous for teaching students to investigate environmental change using satellite remote sensing. This focus is especially relevant given the disproportionate underrepresentation of minorities and women in STEM fields. This study quantified the effects in both a STEM and a non-STEM class of Earth science remote sensing modules in Google Earth Engine on students’ self-efficacy in coding, understanding remote sensing, and interest in science and a career in environmental research. Additionally, the STEM students engaged in a course-based undergraduate research experience (CURE) on water quality. Satellite imagery was used to visualize water quality changes in coastal areas around the world due to the COVID-19 pandemic shutdown. Pre- and post-surveys reveal statistically significant changes in most students’ confidence to apply coding skills to investigate environmental change and understand remote sensing. The intervention was not sufficient to lead to significant changes in interest in science or a career in environmental research. There is great benefit in incorporating remote sensing labs to teach environmental concepts to STEM and non-STEM students and to bolster the confidence of underrepresented minorities and females in STEM.
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Girard, C. M., C. Le Bas, W. Szujecka e M. C. Girard. "Remote Sensing and Fallow Land". Journal of Environmental Management 41, n.º 1 (maio de 1994): 27–38. http://dx.doi.org/10.1006/jema.1994.1031.
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Benarie, Michel. "Optical remote sensing of air pollution". Science of The Total Environment 44, n.º 3 (setembro de 1985): 303–4. http://dx.doi.org/10.1016/0048-9697(85)90107-x.
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Huber, Thomas P. "Integrated Remote Sensing and GIS Techniques for Elk Habitat Management". Journal of Environmental Systems 22, n.º 4 (1 de janeiro de 1992): 325–39. http://dx.doi.org/10.2190/ayqn-f963-ljnk-9grj.
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McCarthy, Elena, e Flora Lichtman. "The Sea from Space—Applying Remote Sensing to Societal Needs". Marine Technology Society Journal 41, n.º 3 (1 de setembro de 2007): 4–15. http://dx.doi.org/10.4031/002533207787442097.
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The use of satellite-based remote sensing systems for observing marine environments is presented. Satellite observations of the marine environment, including weather, support efforts in economic development, national defense, resource management, and policy making, and contribute to the comfort, health, and safety of the public. Several emerging uses of remote sensing, with applications beyond the scope of conventional marine environmental monitoring, are presented, including: maritime surveillance, international treaty enforcement, oil prospecting, and siting of offshore wind farms. As a tool, satellite remote sensing has great potential to contribute to the development of sound marine policy and informed decision making.
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Brilis, G. M., R. J. van Waasbergen, P. M. Stokely e C. L. Gerlach. "Remote Sensing Tools Assist in Environmental Forensics: Part II--Digital Tools". Environmental Forensics 2, n.º 3 (janeiro de 2001): 223–29. http://dx.doi.org/10.1080/15275920127943.
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Brilis, George M., Clare L. Gerlach e Robert J. van Waasbergen. "Remote Sensing Tools Assist in Environmental Forensics. Part I: Traditional Methods". Environmental Forensics 1, n.º 2 (janeiro de 2000): 63–67. http://dx.doi.org/10.1006/enfo.2000.0009.
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Whelan, Matthew J., Michael P. Fuchs e Kerop D. Janoyan. "Large scale remote sensing for environmental monitoring of infrastructure". Journal of Environmental Monitoring 10, n.º 7 (2008): 812. http://dx.doi.org/10.1039/b719165k.
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Lin, Kai, Yanli Shi e Hong Xu. "Can Grassroots Governments’ Environmental Attention Effectively Improve Air Pollution? Empirical Evidence from Satellite Remote Sensing Technology". Sustainability 15, n.º 21 (26 de outubro de 2023): 15309. http://dx.doi.org/10.3390/su152115309.
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Air pollution poses a global challenge, prompting governments worldwide to implement environmental policies aimed at its mitigation. However, grassroots management is key to the effectiveness of pollution management. Traditional air monitoring, ranging from a specific point to broader areas, has inherent limitations. In contrast, satellite remote sensing technology offers extensive spatial and temporal coverage, enabling real-time monitoring of data transmission. Can the amalgamation of grassroots governance and satellite remote sensing technology significantly enhance air pollution control? This article leverages satellite remote sensing data and county-level economic and social data from China spanning the period 2008 to 2019 to empirically explore the impact and mechanism of government environmental constraints on air pollution in grassroots areas. The following results were found: (1) Grassroots government environmental constraints exert a significant inhibitory effect on air pollution, and this conclusion remains valid after a series of robustness tests. (2) Mechanism tests reveal that grassroots government environmental constraints reduce county-level air pollution by fostering urbanization, enhancing industrial structures, and promoting innovation in green technologies. (3) There exists heterogeneity in the inhibitory effect of grassroots environmental constraints on air pollution, with a more pronounced impact in areas focusing on environmental protection, facing no economic constraints, large-scale, and located in central and western regions. The green governance awareness of a higher-level government shows an interaction effect on the reduction in environmental constraints at the grassroots government level, collectively contributing to the decrease in regional air pollution. The conclusion of this article underscores the vital role of satellite remote sensing technology in pollution control and provides insights into the direction of environmental regulation.
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Wang, C., F. Hu, X. Hu, S. Zhao, W. Wen e C. Yang. "A HADOOP-BASED DISTRIBUTED FRAMEWORK FOR EFFICIENT MANAGING AND PROCESSING BIG REMOTE SENSING IMAGES". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (10 de julho de 2015): 63–66. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-63-2015.
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Various sensors from airborne and satellite platforms are producing large volumes of remote sensing images for mapping, environmental monitoring, disaster management, military intelligence, and others. However, it is challenging to efficiently storage, query and process such big data due to the data- and computing- intensive issues. In this paper, a Hadoop-based framework is proposed to manage and process the big remote sensing data in a distributed and parallel manner. Especially, remote sensing data can be directly fetched from other data platforms into the Hadoop Distributed File System (HDFS). The Orfeo toolbox, a ready-to-use tool for large image processing, is integrated into MapReduce to provide affluent image processing operations. With the integration of HDFS, Orfeo toolbox and MapReduce, these remote sensing images can be directly processed in parallel in a scalable computing environment. The experiment results show that the proposed framework can efficiently manage and process such big remote sensing data.