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Статті в журналах з теми "NDVI values"
Cao, Ruyin, Yan Feng, Xilong Liu, Miaogen Shen, and Ji Zhou. "Uncertainty of Vegetation Green-Up Date Estimated from Vegetation Indices Due to Snowmelt at Northern Middle and High Latitudes." Remote Sensing 12, no. 1 (January 5, 2020): 190. http://dx.doi.org/10.3390/rs12010190.
Повний текст джерелаPrasetyo, Sri Yulianto Joko, Wiwin Sulistyo, Prihanto Ngesti Basuki, Kristoko Dwi Hartomo, and Bistok Hasiholan. "Computer model of Tsunami vulnerability using machine learning and multispectral satellite imagery." Bulletin of Electrical Engineering and Informatics 11, no. 2 (April 1, 2022): 986–97. http://dx.doi.org/10.11591/eei.v11i2.3372.
Повний текст джерелаXulu, Sifiso, Kabir Peerbhay, Michael Gebreslasie, and Riyad Ismail. "Drought Influence on Forest Plantations in Zululand, South Africa, Using MODIS Time Series and Climate Data." Forests 9, no. 9 (August 30, 2018): 528. http://dx.doi.org/10.3390/f9090528.
Повний текст джерелаDas, Susanta, Samanpreet Kaur, and Antarpreet Jutla. "Earth Observations Based Assessment of Impact of COVID-19 Lockdown on Surface Water Quality of Buddha Nala, Punjab, India." Water 13, no. 10 (May 14, 2021): 1363. http://dx.doi.org/10.3390/w13101363.
Повний текст джерелаMahesti, Triloka, Kristoko Dwi Hartomo, and Sri Yulianto Joko Prasetyo. "Penerapan Algoritma Random Forest dalam Menganalisa Perubahan Suhu Permukaan Wilayah Kota Salatiga." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 4 (October 25, 2022): 2074. http://dx.doi.org/10.30865/mib.v6i4.4603.
Повний текст джерелаHartomo, Kristoko Dwi, Yessica Nataliani, and Zainal Arifin Hasibuan. "Vegetation indices’ spatial prediction based novel algorithm for determining tsunami risk areas and risk values." PeerJ Computer Science 8 (March 28, 2022): e935. http://dx.doi.org/10.7717/peerj-cs.935.
Повний текст джерелаPuteh, Suhaimi, Nurul Fadhilah Mohamed Rodzali, Mohd Azraai Mohd Razman, Zelina Zaiton Ibrahim, and Muhammad Nur Aiman Shapiee. "Features Extraction of Capsicum Frutescens (C.F) NDVI Values using Image Processing." MEKATRONIKA 2, no. 1 (June 7, 2020): 38–46. http://dx.doi.org/10.15282/mekatronika.v2i1.6727.
Повний текст джерелаBai, Yongqing, Yaping Yang, and Hou Jiang. "Intercomparison of AVHRR GIMMS3g, Terra MODIS, and SPOT-VGT NDVI Products over the Mongolian Plateau." Remote Sensing 11, no. 17 (August 29, 2019): 2030. http://dx.doi.org/10.3390/rs11172030.
Повний текст джерелаZaitunah, Anita, Samsuri Samsuri, Angelia Frecella Silitonga, and Lailan Syaufina. "Urban Greening Effect on Land Surface Temperature." Sensors 22, no. 11 (May 30, 2022): 4168. http://dx.doi.org/10.3390/s22114168.
Повний текст джерелаPoletaev, Arseniy. "Possibilities of GIS technologies for predictive detection of areas of solid flow discharge within water protection zones." InterCarto. InterGIS 28, no. 2 (2022): 583–96. http://dx.doi.org/10.35595/2414-9179-2022-2-28-583-596.
Повний текст джерелаДисертації з теми "NDVI values"
Näsström, Rickard. "Reaching the 2014 UN New York Declaration on Forests Goals, using satellites to monitor global value chains." Thesis, Stockholms universitet, Kulturgeografiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-128585.
Повний текст джерелаBradford, Jessica. "Examining Culex tarsalis (Diptera: Culicidae) population changes with satellite vegetation index data." Kansas State University, 2014. http://hdl.handle.net/2097/17139.
Повний текст джерелаDepartment of Diagnostic Medicine/Pathobiology
Michael W. Sanderson
A zoonotic disease is any disease or infection that is naturally transmissible from vertebrate animals to humans. Over 200 zoonoses have been described (Zoonoses and the Human-Animal-Ecosystems Interface, 2013). Many zoonotic viruses are arboviruses, viruses transmitted by an infected, blood-sucking, arthropod vector (Hunt, 2010). There are several endemic arboviruses in the United States; some foreign arboviruses, such as Rift Valley fever (RVF) virus, are potential bioterrorism agents (Dar, 2013). Arboviruses, both endemic and foreign, threaten public health (Gubler, 2002) and therefore disease surveillance, vector control and public education are all vital steps in minimizing arboviral disease impact in the United States. Mosquito-borne disease threats, such as West Nile virus and Rift Valley fever, are constant concerns in the United States and globally. Current strategies to prevent and control mosquito-borne diseases utilize vector distribution, seasonal and daylight timing, and variation in population numbers. Climate factors, such as availability of still water for development of immature mosquitoes, shade, and rainfall, are known to influence population dynamics of mosquitoes. Using 1995-2011 mosquito population surveillance data from Fort Riley, Kansas, we compared population numbers of Culex tarsalis (Diptera: Culicidae), a vector of several arboviruses including West Nile virus and potentially Rift Valley fever, to a satellite-derived index of climate, the Normalized Difference Vegetation Index (NDVI) anomaly. No correlation between the population numbers and NDVI anomaly was observed, which contrasts with results from similar analyses in other locations. These findings suggest a need for continued investigation into mosquito population dynamics in additional ecological regions of the United States to better describe the heterogeneity of environment-population relationships within and among mosquito species.
Llale, Semakaleng. "Climate variability: Human management response to environmental changes in Touws River valley and Makolokwe." University of the Western Cape, 2020. http://hdl.handle.net/11394/7296.
Повний текст джерелаClimate has been changing significantly around the globe; hence climate variability is of great interest to researchers. The changes in climate have caused variances in rainfall and temperature, both elements of paramount importance in farming, whether commercial or communal farming. As these fluctuations in temperature and rainfall occur, they cause direct impacts on different livelihoods, fauna and flora. The aim of this thesis is to investigate the human management responses of farmers in two different contexts of communal farming (Makolokwe) and commercial farming (Touws River valley), with a focus investigation on the adaptation and coping strategies of the farmers, as well as spatial analysis of the vegetation and rainfall variability. Farmers were asked to discuss climate and adaptation based on the rainfall data available as well as far as they could remember the occurrence of changes. Rainfall data was available between 1988 and 2017 for Touws River, while the data utilised for Makolokwe was available between 1928 and 2016. The link between the local knowledge of the farmers and scientific knowledge is an important aspect of this research. The Normalised Difference Vegetation Index (NDVI) was used to analyse the vegetation changes on a temporal and spatial scale in the context of Makolokwe and Touws River valley respectively. The differing variations in climate variability and change experienced by the two farming communities are placed alongside an exploration of the adaptation and coping measures which are put in place by farmers as a response to the changes evident in climate, as it allows for better and thorough understanding of the occurring changes in the two communities. The study found that perceptions about climate variability vary in the two communities although there are some common factors. Farmers’ perceptions about climate variability are drawn from their own observations at a local level as well as knowledge from the media regarding terms such as El Niño and drought. Farmers in both communities indicated that they experienced insufficient rain in the winter months which had an impact on the grazing areas and the management of the livestock. These months also threatened livelihoods, especially for farmers who depend on their livestock for their livelihood, in particular communal farmers. Perceptions of factors such as decreasing grazing and vegetation in their environments have led to the adoption of adaptation and coping strategies on the part of farmers. Commercial farmers have more choices in this regard than communal farmers, such as converting to game farming. Common coping strategies include: (1) farmers have had to subsidise and use alternative food sources for the livestock, (2) livestock numbers have been reduced in order to adapt to climate variability, with an impact on livelihoods (3) farmers have had to rely on their hope and faith that things will get better. Planning for climate variability is challenging for land managers. Knowledge and access to resources is therefore essential in ensuring that farmers are kept on track with the changing environment.
Daly, Fiona Frances Margaret. "The effect of diet on the nutrition and production of merino ewes in the arid shrublands of Western Australia." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/570.
Повний текст джерелаЧастини книг з теми "NDVI values"
Puteh, Suhaimi, Nurul Fadhilah Mohamed Rodzali, Anwar P. P. Abdul Majeed, Ismail Mohd Khairuddin, Zelina Zaiton Ibrahim, and Mohd Azraai Mohd Razman. "Classification of Capsicum Frutescens Health Condition Through Features Extraction from NDVI Values Using Image Processing." In Lecture Notes in Mechanical Engineering, 414–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4803-8_41.
Повний текст джерелаAlam, Asraful, Arijit Ghosh, and Lakshminarayan Satpati. "Investigation of Urban Environment Using Tasseled Cap Transformation." In Advances in Environmental Engineering and Green Technologies, 88–96. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-5027-4.ch005.
Повний текст джерелаSantos, Arthur, Fernando Santil, and Claudionor Silva. "The Use of NDVI and NDBI to Provide Subsidies to Public Manager’s Decision Making on Maintaining the Thermal Comfort in Urban Areas." In Vegetation Index and Dynamics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.97350.
Повний текст джерелаMartins Moreira, Rodrigo, and Maria Paula Cardoso Yoshii. "Integrating Google Earth Engine and Decametric Sentinel 2 Images for Analysis of Vegetation Pre and Post the Disaster at Brumadinho, Brazil." In Natural Hazards - New Insights [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108286.
Повний текст джерелаAlexander Correa-Muñoz, Nixon, and Carol Andrea Murillo-Feo. "The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale: The Case in Southeastern Colombia." In Slope Engineering [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94251.
Повний текст джерелаBegum, Masuma, Niloy Pramanick, Anirban Mukhopadhyay, and Sayani Datta Majumdar. "Scenarios of the Tropical Dry Forest of Purulia District West Bengal." In Practice, Progress, and Proficiency in Sustainability, 254–67. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0014-9.ch013.
Повний текст джерелаPasko, Olga, Natalia Staurskaya, Olga Sergeevna Tokareva, Pedro Cabral, Nadezhda Anatolyevna Lebedeva, and Saif Mohanad Majid. "Analysis of the Vegetation State of the Territory of Central Iraq Using Landsat Data." In Handbook of Research on Agricultural Policy, Rural Development, and Entrepreneurship in Contemporary Economies, 484–503. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9837-4.ch024.
Повний текст джерелаRagán, Péter, László Duzs, Zsuzsanna Dorogi, Ágnes Törő, and Tamás Rátonyi. "The effects of the soil tillage and the fertilization on the NDVI values of the maize plant." In Abstract book of the 18th Alps-Adria Scientific Workshop, 132–33. Szent István Egyetemi Kiadó Nonprofit Kft., 2019. http://dx.doi.org/10.34116/nti.2019.aa.57.
Повний текст джерелаAlemaw, Berhanu F., Thebeyame Ronald Chaoka, and Brigton Munyai. "Remote Sensing-Based Evapotranspiration Modelling for Agricultural Water Management in the Limpopo Basin." In Environmental Information Systems, 249–86. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7033-2.ch013.
Повний текст джерелаAlemaw, Berhanu F., Thebeyame Ronald Chaoka, and Brigton Munyai. "Remote Sensing-Based Evapotranspiration Modelling for Agricultural Water Management in the Limpopo Basin." In Advances in Geospatial Technologies, 50–85. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3440-2.ch004.
Повний текст джерелаТези доповідей конференцій з теми "NDVI values"
Amar, Haddad, Beldjazia Amina, Kadi Zahia, Redjaimia Lilia, and Rached-Kanouni Malika. "THE NORMALIZED DIFFERENCE VEGETATION INDEX AS AN INDICATOR OF DYNAMICS." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b2/v3/27.
Повний текст джерелаGolovastova, E. S., and Ie A. Dunaieva. "Convergence of NDVI values by remote sensing data and field measurements." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2019. http://dx.doi.org/10.33952/09.09.2019.160.
Повний текст джерелаGulyanov, Yu A. "Correlation of the vegetation index (NDVI) and phytometric parameters at different stages of field crops development." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-123.
Повний текст джерелаSimon, Mihai. "NDVI VALUES IN DETERMINATION OF MEADOWS BIOMASS FOR QUANTITATIVE EVALUATION AND CARTOGRAPHY." In 18th International Multidisciplinary Scientific GeoConference SGEM2018. STEF92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018v/6.4/s08.029.
Повний текст джерелаTummala, Pragathi, M. Sobhana, and Sruthi Kakumani. "Predicting crop yield with NDVI and Backscatter values using Deep Neural Networks." In 2022 International Mobile and Embedded Technology Conference (MECON). IEEE, 2022. http://dx.doi.org/10.1109/mecon53876.2022.9751969.
Повний текст джерелаRodionova, N. V. "Satellite monitoring of the environment in the area of the Iskitim coal mines in 2013–2020." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.39.39.042.
Повний текст джерелаJOVANOVSKA, Gordana, Uğur AVDAN, and Nalan DEMİRCİOĞLU YILDIZ. "SPATIAL CHANGE ANALISYS BASED ON NDVI VALUES USING LANDSAT DATA: CASE STUDY IN TETOVO, MACEDONIA." In International Scientific Conference GEOBALCANICA. Geobalcanica Society, 2016. http://dx.doi.org/10.18509/gbp.2016.11.
Повний текст джерелаGHERASIM, Paul Marian, Mihai DIMA, and Ioana AGAPIE (MEREUȚĂ). ""Studing LST and NDVI Values for Suhi Non-Suhi Occupied by Constructions and Buildings: a Case Study of Iasi. "." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_11.
Повний текст джерелаBachoo, Asheer, and Sally Archibald. "Influence of Using Date-Specific Values when Extracting Phenological Metrics from 8-day Composite NDVI Data." In 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images. IEEE, 2007. http://dx.doi.org/10.1109/multitemp.2007.4293044.
Повний текст джерелаAl-Shehhi, Maryam R., Rasha Saffarini, Ali Farhat, Nada K. Al-Meqbali, and Hosni Ghedira. "Evaluating the effect of soil moisture, surface temperature, and humidity variations on MODIS-derived NDVI values." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049889.
Повний текст джерелаЗвіти організацій з теми "NDVI values"
Manninen, Terhikki, and Pauline Stenberg. Influence of forest floor vegetation on the total forest reflectance and its implications for LAI estimation using vegetation indices. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361379.
Повний текст джерелаBroussard, Whitney, Glenn Suir, and Jenneke Visser. Unmanned Aircraft Systems (UAS) and satellite imagery collections in a coastal intermediate marsh to determine the land-water interface, vegetation types, and Normalized Difference Vegetation Index (NDVI) values. Engineer Research and Development Center (U.S.), October 2018. http://dx.doi.org/10.21079/11681/29517.
Повний текст джерелаAnderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
Повний текст джерелаWang, Chih-Hao, and Na Chen. Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards. Mineta Transportation Institute, May 2022. http://dx.doi.org/10.31979/mti.2022.2126.
Повний текст джерела