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Статті в журналах з теми "Vegetation indece"
Veltrop, Marcel H. A. M., Maurice J. L. M. F. Bancsi, Rogier M. Bertina, and Jan Thompson. "Role of Monocytes in Experimental Staphylococcus aureus Endocarditis." Infection and Immunity 68, no. 8 (August 1, 2000): 4818–21. http://dx.doi.org/10.1128/iai.68.8.4818-4821.2000.
Повний текст джерелаXu Mingzhu, 许明珠, 徐浩 Xu Hao, 孔鹏 Kong Peng та 吴艳兰 Wu Yanlan. "结合植被指数和卷积神经网络的遥感植被分类方法". Laser & Optoelectronics Progress 59, № 24 (2022): 2428005. http://dx.doi.org/10.3788/lop202259.2428005.
Повний текст джерелаDhakal, Richa, and Ram Asheshwar Mandal. "APPLICATION OF VEGETATION INDEXES TO ASSESS CARBON STOCK." Mercator 21, no. 1 (June 15, 2022): 1–14. http://dx.doi.org/10.4215/rm2022.e21018.
Повний текст джерелаLiang, Juan, Chen Liu, Gui-Quan Sun, Li Li, Lai Zhang, Meiting Hou, Hao Wang, and Zhen Wang. "Nonlocal interactions between vegetation induce spatial patterning." Applied Mathematics and Computation 428 (September 2022): 127061. http://dx.doi.org/10.1016/j.amc.2022.127061.
Повний текст джерелаYoon, Jung-Beom, Young-Nam Yoon, and Yoon-Ha Kim. "Utilization of Vegetation Indice in Agricultural Field." Journal of Agriculture & Life Science 55, no. 5 (October 30, 2021): 1–9. http://dx.doi.org/10.14397/jals.2021.55.5.1.
Повний текст джерелаAugustin, Pascal, Ghada Alsalih, Yoann Launey, Sandrine Delbosc, Liliane Louedec, Véronique Ollivier, Françoise Chau, et al. "Predominant Role of Host Proteases in Myocardial Damage Associated with Infectious Endocarditis Induced by Enterococcus faecalis in a Rat Model." Infection and Immunity 81, no. 5 (March 11, 2013): 1721–29. http://dx.doi.org/10.1128/iai.00775-12.
Повний текст джерелаReyes-González, Arturo, David G. Reta-Sánchez, Juan I. Sánchez-Duarte, Víctor M. Rodríguez-Moreno, Enrique Hernández-Leal, and Iván Franco-Gaytán. "Desarrollo del coeficiente de cultivo para cártamo forrajero basado en índices de vegetación." Tecnología y ciencias del agua 11, no. 6 (November 1, 2020): 39–80. http://dx.doi.org/10.24850/j-tyca-2020-06-02.
Повний текст джерелаSwami, Abhishek. "Impact of Automobile Induced Air Pollution on roadside vegetation: A Review." ESSENCE International Journal for Environmental Rehabilitation and Conservation 9, no. 1 (August 15, 2018): 101–16. http://dx.doi.org/10.31786/09756272.18.9.1.113.
Повний текст джерелаAleixo, Natacha Cíntia Regina, and João Cândido André Silva Neto. "Índice de vegetação e comportamento da temperatura do ar em Tefé/Amazonas/Brasil." Revista Brasileira de Geografia Física 11, no. 2 (2018): 864–76. http://dx.doi.org/10.26848/rbgf.v10.6.p864-876.
Повний текст джерелаAleixo, Natacha Cíntia Regina, and João Cândido André Silva Neto. "Índice de vegetação e comportamento da temperatura do ar em Tefé/Amazonas/Brasil." Revista Brasileira de Geografia Física 11, no. 3 (2018): 864–76. http://dx.doi.org/10.26848/rbgf.v11.3.p864-876.
Повний текст джерелаДисертації з теми "Vegetation indece"
Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia." Thesis, Curtin University, 1994. http://hdl.handle.net/20.500.11937/518.
Повний текст джерелаMagalhães, Leonardo Pinto de. "Análise de imagens no desenvolvimento e status de fósforo do minitomateiro grape cultivado em sistema semi-hidropônico." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-13032019-152808/.
Повний текст джерелаThe analysis of images is one of the ways to evaluate the development of plants, both to correlate biophysical aspects of the same, as for the detection of diseases. Through the images can be calculated vegetative indexes that correlate with the contents of nutrients in the leaves. With this perspective, the present studied aimed to evaluate which vegetative indexes would best correlate with the phosphorus rate in tomato leaves. A minitomato grape cultivar with five phosphorus doses (0, 25, 50, 75 and 100%) of the recommended P (in the formulation of the nutrient solution) was carried out. At different stages of plant development, leaf samples were collected to obtain the images, with scanner and camera, and foliar diagnosis. The bio-responses of plants were determined over time. An artificial neural network was developed to estimate leaf phosphorus levels in the grape minitomate. The analysis of the development of the plant allowed to conclude that the dose 100% of P2O5 used in the experiment was enough to supply the nutritional demand of the minitomateiro. At 64 days after transplanting (DAT), the highest drop in phosphorus content in the leaves was observed, coinciding with the ripening of the fruits. It is proposed, for the studied cultivar, that the leaf dignity should be made at 50 DAT. The vegetative indexes obtained by the image analysis and selected by the principal components analysis (ICVE and Bn, both abaxial and adaxial) can be used to estimate the leaf diagnosis of P in the minitomate grape cultivar. The evaluation of vegetative indexes indicated that obtaining images with the scanner is more appropriate than with the photographic camera. For the cultivar studied, it was verified that in the dosage of 100% of P2O5 content of P in the leaves is below 4.0 g kg-1. In relation to the developed neural network, when categorizing the P values according to the literature, it obtained a 90% correctness rate.
Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia." Curtin University of Technology, School of Surveying and Land Information, 1994. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14815.
Повний текст джерелаstructural differences in the image data, due to land use, climatic factors and vegetation type.Overall, the results of the research undertaken in this study, using NOAA-AVHRR data in Western Australia, demonstrate that vegetation indices acquired from satellite platforms can be used to monitor continental scale seasonal conditions in an effective manner. As a consequence of these results, further research using this type of data is proposed in rangeland management and climate change modelling.
González, Garcia Isabel. "Influência do clima nas variações estacionais e interanuais do indice de vegetação de diferença normalizada (NDVI) no montado português." Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5467.
Повний текст джерелаNowadays the climate change makes more necessary the study of ecosystem dynamics. The Portuguese montado is an ecosystem with very particular characteristics, because is a combined system with pastures and forest, managed by men, and depends on this manage to continue. More than economic value, montado is very important system with a big biodiversity and landscape quality. For this study was propose to study about the seasonal variation of montado, since 2000 to 2012, using remote sensing and vegetation index as tools to analyze the response of montado to different environmental factors, as the precipitation, temperature and relative humidity. The chosen vegetation index was the NDVI (Normalized Difference Vegetation Index), because of all the advantages, and was calculated using MODIS sensor data. To find the relation between our vegetation index vegetation data, and the meteorological variables, was make a time series analysis, and a correlation study of each variable with the vegetation index. The results was satisfactory and was agree with the initial hypotheses. We find that the precipitation is the variable that influences NDVI the most, and this correlation is bigger when we use the accumulative inter-annual and seasonal data instead the original data. The results show the effects of the big drought of 2004 and 2005 too. The remote sensing appears as a very important and critical tool for this study area future and show that this study could be extend with new directions and new research hypotheses
Jorge, Catarina Tonelo. "Phenology analysis in a cork oak woodland through digital photography and spectral vegetation indexes." Master's thesis, ISA, 2019. http://hdl.handle.net/10400.5/19543.
Повний текст джерелаDigital repeat photography is a method to monitor the phenology of vegetation that has gained momentum this past decade. As a result, the need for further case-studies is required. This work aims to prove that it is possible to use digital cameras instead of spectral information to track phenology in a Mediterranean cork oak woodland. The photos will originate the green chromatic coordinates (GCC) index while the normalized difference vegetation index (NDVI) derives from the spectral data collected with a field spectroradiometer. The results were found by employing a regular commercial camera to take monthly pictures along with the spectral measurements. They showed good agreement among methods especially for the herbaceous layer whose GCC had a very good fit with NDVI. The coefficient of determination for the herbaceous layer, the shrub cistus and shrub ulex was 0.89, 0.62 and 0.30, respectively. However, these regressions may be improved upon by grouping the shrub species. The shrubs had a lower correlation between the two indices and all three groups showed a response to water availability. For these reasons, a linear regression between GCC and the normalized water difference index (NDWI) was pursued. This second regression showed better results for shrubs, with coefficients of determination of 0.78 e 0.55, respectively, and a similar value for the herbaceous layer (0.84). The herbaceous layer was found to react quickly to water. Because it only has access to superficial water, its phenology is dependent on precipitation. This group had a good outcome with more long-term observations than shrubs (eight years of data vs. three years). So, it would be the most suitable plant functional type to be tracked using the digital repeat photography method coupled with GCC. Nonetheless, using photos and GCC proves to have the potential to monitor a wide spectrum of vegetation types
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JULITTA, TOMMASO. "Optical proximal sensing for vegetation monitoring." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/70505.
Повний текст джерелаEklund, Carl. "Ståndortsfaktorer och vegetation : En problematiserande litteraturstudie." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-144161.
Повний текст джерелаA site is an area where a population of a specific plant species has its habitat, often the connotation is forestry. The prerequisites for this, the site indices (also site variables or stand variables), can be found in the characteristics of the ground (edaphic factors) as well as the climatic impact. These elements affect the growth and production, which is of interest in forestry and forest sciences. Upon this the plants interact with each other as well as with other organisms, i.e. fungi, bacteria and animals, and there is also an anthropogenic impact where factors such as livestock grazing, atmospheric deposition and forest production strongly affects the vegetation. By studying some of the more prominent theories on vegetation societies/sociologies and plant strategies, as well as different aspects of the site concept, the hypothesis was that a problematizing picture of site indices can be found and some confounding variables that can give erroneous interpretation of results. A number of major works in vegetation classification was gone through, supplemented by supporting literature. An article search was conducted to find journal articles, using combinations of specific search terms related to site indices. To narrow down the results and give a more regional touch to the thesis, the filter was set only to show results from Scandinavia and Finland. The articles were grouped into themes and handled theme-wise. Even though there are few principal factors controlling the vegetation there are a number of variables which locally can have a large impact, such as snow, genetic traits and symbiosis. These variables can be hard to measure, and a lot of things at a detailed level are poorly investigated. Land use modifies the edaphic properties long after the usage have changed or been discontinued. The amounts and cycles of nitrogen and carbon are recurrent uncertainties in the articles, where deposits of nitrogen from the atmosphere plays an important but uneven role and measurements can be hard to compare due to differences in weather and climate. Added to this, organisms in the ground have a major role in the plants’ nutrient uptake, but the effects can be hard to study. A concluding remark is that even though all aspects of a site cannot always be included more confounding variables could be taken in account and models should be able to be calibrated to different theories on vegetation societies/sociologies and plant strategies. Many factors normally not counted as site indices, i.e. snow depth, soil biota symbiosis, and land use, could be valuable to include in e.g. modelling.
Hammer, Rachel Lynn. "Soil Respiration and Related Abiotic and Remotely Sensed Variables in Different Overstories and Understories in a High Elevation Southern Appalachian Forest." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/93272.
Повний текст джерелаMaster of Science
Forests have the ability to sequester carbon from our atmosphere. Soil respiration (Rs) plays a role in a forest’s ability to do so as it is a significant source of carbon dioxide back to the atmosphere. Therefore, understanding the process of Rs under varying conditions is gaining more attention. As of now we have a relatively good understanding of Rs under managed forest ecosystems such as pine plantations. This particular study examined Rs under different overstories and understories in a high elevation Southern Appalachian forest in order to get a better understanding of Rs under a natural hardwood system. The four vegetation types under consideration were an eastern hemlock (Tsuga canadensis L. Carriere) dominated overstory, a hardwood overstory with little to no understory, a mountain laurel (Kalmia latifolia L.) dominated understory, and a cinnamon fern (Osmundastrum cinnamomeum (L.) C.Presl) dominated understory. Differing temporal variations of Rs were observed under the vegetation types. We found monthly differences in rates among vegetation type however, an overall annual difference in Rs rates between vegetation types was not observed. This simply indicates the importance of observing Rs under different time scales to get a better understanding of its variation. We also calculated vegetation indices from remotely-sensed data to explore any relationships to Rs as well as if the indices themselves could improve out model. A vegetation index is a number that is calculated for every pixel in a remotely sensed image and represents plant vigor or abundance. Few significant relationships were found between the indices and Rs. Future work may want to better understand vegetation indices’ spatial extent and accuracy in order to find whether they may be beneficial in Rs estimation. Understanding the influence of varying vegetation type and soil temperature and moisture on Rs will ultimately improve our ability to predict what drives changes in carbon fluxes.
Noumonvi, Koffi Dodji. "Estimation of carbon fluxes from eddy covariance data and satellite-derived vegetation indices in a karst grassland (Podgorski Kras, Slovenia)." Master's thesis, ISA/UL, 2018. http://hdl.handle.net/10400.5/17944.
Повний текст джерелаThe Eddy covariance method is a widespread method used for measuring carbon fluxes between the atmosphere and the ecosystem. It provides a high temporal resolution of measurements, but it is restricted to an area around the tower called footprint, and other methods are usually used in combination with eddy covariance data in order to estimate carbon fluxes for larger areas. Spectral vegetation indices derived from increasingly available satellite data can be combined with eddy covariance data to estimate carbon fluxes outside of the tower footprint. Following that approach, the present study attempted to model carbon fluxes for a karst grassland in Slovenia. Three types of model were considered: (1) a linear relationship between NEE or GPP and each vegetation index, (2) a linear relationship between GPP and the product of a vegetation index with PAR, and (3) a simplified LUE model assuming a constant LUE. We compared the performance of several vegetation indices from two sources (Landsat and SPOT-Vegetation) as predictors of NEE and GPP, based on three accuracy metrics (R², RMSE and AIC). Two types of aggregation of flux data were explored, midday average fluxes and daily average fluxes. The Vapor Pressure Deficit was used to separate the growing season in two phases, a greening phase and a dry phase, which were considered separately in the modelling process, in addition to the growing season as a whole. The results showed that NDVI was the best predictor of GPP and NEE during the greening phase, whereas water related vegetation indices, namely LSWI and MNDWI were the best predictors during the dry phase, both for midday and daily aggregates. Model type 1 (linear relationship) was found to be the best in many cases. The best regression equations obtained were used to illustrate the mapping of GPP and NEE for the study area
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Weiss, Marie. "DEVELOPPEMENT D'UN ALGORITHME DE SUIVI DE LA VEGETATION A LARGE ECHELLE." Phd thesis, Université de Nice Sophia-Antipolis, 1998. http://tel.archives-ouvertes.fr/tel-00707683.
Повний текст джерелаКниги з теми "Vegetation indece"
Payandeh, Bijan. Predictability of site index from soil factors and lesser vegetation in northern Ontario forest types. Sault Ste. Marie, Ont: Great Lakes Forestry Centre, 1986.
Знайти повний текст джерелаErgo, A. B. Indices climatiques et applications en analogie agrobioclimatique. Tervuren, Belgique: Musée royal de l'Afrique centrale, 1989.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. Peat landforms along the Albany River, northern Ontario: An ecologic study of peat landforms in Canada and Alaska : a progress report. [Washington, DC: National Aeronautics and Space Administration, 1985.
Знайти повний текст джерелаLézine, Anne-Marie. Vegetation at the Time of the African Humid Period. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.530.
Повний текст джерелаClaussen, Martin, Anne Dallmeyer, and Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.
Повний текст джерелаWilsey, Brian J. Factors Maintaining and Regulating Grassland Structure and Function. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198744511.003.0003.
Повний текст джерелаSchmidt-Thomé, Philipp. Climate Change Adaptation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.635.
Повний текст джерелаVerschuur, Gerrit L. Impact! Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195101058.001.0001.
Повний текст джерелаJohansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.
Повний текст джерелаЧастини книг з теми "Vegetation indece"
Seraj, Zeba I., M. Bakhtiar Hossain, Noorain M. Rasul, Hasina Akhter, Haseena Khan, Shamim Hossain, M. A. Salam, and Glenn Gregorio. "Agrobacterium-mediated transformation of Bangladesh indica for conferring salt tolerance." In Tasks for vegetation science, 167–76. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0067-2_18.
Повний текст джерелаDiezma Iglesias, Belén. "Proximal vegetation sensors." In Manuali – Scienze Tecnologiche, 14. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.14.
Повний текст джерелаThompson, Keith, Clive Howard-Williams, and David Mitchell. "A cross-indexed bibliography of African wetland plants and vegetation." In The ecology and management of African wetland vegetation, 237–316. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5504-2_10.
Повний текст джерелаKalsnes, Bjørn, and Vittoria Capobianco. "Use of Vegetation for Landslide Risk Mitigation." In Springer Climate, 77–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_10.
Повний текст джерелаSánchez-de-Miguel, Patricia, Pilar Baeza, Pedro Junquera, and José Ramón Lissarrague. "Vegetative Development: Total Leaf Area and Surface Area Indexes." In Methodologies and Results in Grapevine Research, 31–44. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9283-0_3.
Повний текст джерелаSantos, Lorena A., Rolf E. O. Simoes, Karine R. Ferreira, Gilberto R. de Queiroz, Gilberto Camara, and Rafael D. C. Santos. "Clustering Methods to Asses Land Cover Samples of MODIS Vegetation Indexes Time Series." In Computational Science and Its Applications – ICCSA 2017, 662–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62407-5_48.
Повний текст джерелаQamer, Faisal Mueen, Mir A. Matin, Ben Zaitchik, Kiran Shakya, Yi Fan, Nishanta Khanal, Walter Lee Ellenburg, et al. "A Regional Drought Monitoring and Outlook System for South Asia." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 59–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_4.
Повний текст джерелаMarques da Silva, José Rafael, and Manuela Correia. "The soil-water-plant agrisystem:a little about soil, water and plants." In Manuali – Scienze Tecnologiche, 7. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.07.
Повний текст джерелаGrondin, Pierre, Marie-Hélène Brice, Yan Boulanger, Claude Morneau, Pierre-Luc Couillard, Pierre J. H. Richard, Aurélie Chalumeau, and Véronique Poirier. "Ecological Classification in Forest Ecosystem Management: Links Between Current Practices and Future Climate Change in a Québec Case Study." In Advances in Global Change Research, 219–46. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15988-6_8.
Повний текст джерелаKoutsias, Nikos, Iliana Kalogeropoulou, Anastasia Karamitsou, Nikoletta G. Mili, and Magdalini Pleniou. "A rule-based semi-automatic method to map burned areas using Landsat and Sentinel-2 images – incorporating vegetation indices into the mapping algorithm." In Advances in Forest Fire Research 2022, 55–57. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_7.
Повний текст джерелаТези доповідей конференцій з теми "Vegetation indece"
Gupta, Aditya, Manasa R. Behera, and Amin Heidarpour. "Numerical Modeling of Wave Damping Induced by Emerged Moving Vegetation." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18588.
Повний текст джерелаBarek, Viliam, Martina Kovacova, Dusan Igaz, and Oleg Paulen. "INFLUENCE OF IRRIGATION ON THE MEASUREMENT OF SPECTRAL REFLECTANCE OF LEAVES." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/5.1/s20.031.
Повний текст джерелаGomezChova, L. "Solar induced fluorescence measurements using a field spectroradiometer." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349354.
Повний текст джерелаGonzález-Dugo, M. P. "Spectral Vegetation Indices For Estimating Cotton And Sugarbeet Evapotranspiration." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349335.
Повний текст джерелаSanti, E., S. Paloscia, and P. Pampaloni. "Multifrequency microwave vegetation indexes for estimating vegetation biomass." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7327002.
Повний текст джерелаYang, Zhengwei, Liping Di, Genong Yu, and Zeqiang Chen. "Vegetation condition indices for crop vegetation condition monitoring." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049984.
Повний текст джерелаTao, Jing, Jiancheng Shi, Tom Jackson, Rajat Bindlish, Jinyang Du, and Lixin Zhang. "Monitoring Vegetation Water Content Using Microwave Vegetation Indices." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4778827.
Повний текст джерелаVercruysse, Joachim, and Greet Deruyter. "OPTIMISING VEGETATION-INPUT FOR DROUGHT ASSESSMENT WITH SENTINEL-2A DATA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s10.40.
Повний текст джерелаKrtalic, Andrija. "ANALYSIS OF VEGETATION INDICES OF URBAN VEGETATION IN ZAGREB (CROATIA)." In 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/2.3/s10.004.
Повний текст джерелаKrtalic, Andrija. "ANALYSIS OF BURNED VEGETATION RECOVERY BY MEANS OF VEGETATION INDICES." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/2.2/s10.055.
Повний текст джерелаЗвіти організацій з теми "Vegetation indece"
Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42003.
Повний текст джерелаManninen, 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 джерелаBusby, Ryan, Dick Gebhart, Steven Oxley, William Tarantino, and Wade Wall. Estimating resistance and resilience of military lands using vegetation indices. Construction Engineering Research Laboratory (U.S.), September 2017. http://dx.doi.org/10.21079/11681/23953.
Повний текст джерелаCole, David N. Area of vegetation loss: a new index of campsite impact. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1989. http://dx.doi.org/10.2737/int-rn-389.
Повний текст джерелаChen, J. M. Evaluation of vegetation indices and a Modified Simple Ratio for boreal applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/218303.
Повний текст джерелаKamenova, Ilina, Lachezar Filchev, and Iliana Ilieva. Review of spectral vegetation indices and methods for estimation of crop biophysical variables. Prof. Marin Drinov Publishing House of Bulgarian Academy of Sciences, April 2018. http://dx.doi.org/10.7546/aerebu.29.18.01.06.
Повний текст джерелаRochdi, N., and R. Fernandes. Intercalibration of vegetation indices from Landsat ETM+ and MODIS 500m data for LAI mapping. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/226024.
Повний текст джерелаPradhan, Nawa Raj. Estimating growing-season root zone soil moisture from vegetation index-based evapotranspiration fraction and soil properties in the Northwest Mountain region, USA. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42128.
Повний текст джерелаSalazar, Lina, Ana Claudia Palacios, Michael Selvaraj, and Frank Montenegro. Using Satellite Images to Measure Crop Productivity: Long-Term Impact Assessment of a Randomized Technology Adoption Program in the Dominican Republic. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003604.
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.
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