Littérature scientifique sur le sujet « Vegetation indece »
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Articles de revues sur le sujet "Vegetation indece"
Veltrop, Marcel H. A. M., Maurice J. L. M. F. Bancsi, Rogier M. Bertina et Jan Thompson. « Role of Monocytes in Experimental Staphylococcus aureus Endocarditis ». Infection and Immunity 68, no 8 (1 août 2000) : 4818–21. http://dx.doi.org/10.1128/iai.68.8.4818-4821.2000.
Texte intégralXu Mingzhu, 许明珠, 徐浩 Xu Hao, 孔鹏 Kong Peng et 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, no 24 (2022) : 2428005. http://dx.doi.org/10.3788/lop202259.2428005.
Texte intégralDhakal, Richa, et Ram Asheshwar Mandal. « APPLICATION OF VEGETATION INDEXES TO ASSESS CARBON STOCK ». Mercator 21, no 1 (15 juin 2022) : 1–14. http://dx.doi.org/10.4215/rm2022.e21018.
Texte intégralLiang, Juan, Chen Liu, Gui-Quan Sun, Li Li, Lai Zhang, Meiting Hou, Hao Wang et Zhen Wang. « Nonlocal interactions between vegetation induce spatial patterning ». Applied Mathematics and Computation 428 (septembre 2022) : 127061. http://dx.doi.org/10.1016/j.amc.2022.127061.
Texte intégralYoon, Jung-Beom, Young-Nam Yoon et Yoon-Ha Kim. « Utilization of Vegetation Indice in Agricultural Field ». Journal of Agriculture & ; Life Science 55, no 5 (30 octobre 2021) : 1–9. http://dx.doi.org/10.14397/jals.2021.55.5.1.
Texte intégralAugustin, 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 (11 mars 2013) : 1721–29. http://dx.doi.org/10.1128/iai.00775-12.
Texte intégralReyes-González, Arturo, David G. Reta-Sánchez, Juan I. Sánchez-Duarte, Víctor M. Rodríguez-Moreno, Enrique Hernández-Leal et Iván Franco-Gaytán. « Desarrollo del coeficiente de cultivo para cártamo forrajero basado en índices de vegetación ». Tecnología y ciencias del agua 11, no 6 (1 novembre 2020) : 39–80. http://dx.doi.org/10.24850/j-tyca-2020-06-02.
Texte intégralSwami, Abhishek. « Impact of Automobile Induced Air Pollution on roadside vegetation : A Review ». ESSENCE International Journal for Environmental Rehabilitation and Conservation 9, no 1 (15 août 2018) : 101–16. http://dx.doi.org/10.31786/09756272.18.9.1.113.
Texte intégralAleixo, Natacha Cíntia Regina, et 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.
Texte intégralAleixo, Natacha Cíntia Regina, et 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.
Texte intégralThèses sur le sujet "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.
Texte intégralMagalhães, 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/.
Texte intégralThe 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.
Texte intégralstructural 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.
Texte intégralNowadays 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.
Texte intégralDigital 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.
Texte intégralEklund, 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.
Texte intégralA 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.
Texte intégralMaster 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.
Texte intégralThe 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.
Texte intégralLivres sur le sujet "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.
Trouver le texte intégralErgo, A. B. Indices climatiques et applications en analogie agrobioclimatique. Tervuren, Belgique : Musée royal de l'Afrique centrale, 1989.
Trouver le texte intégralUnited States. National Aeronautics and Space Administration., dir. 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.
Trouver le texte intégralLézine, 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.
Texte intégralClaussen, Martin, Anne Dallmeyer et 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.
Texte intégralWilsey, Brian J. Factors Maintaining and Regulating Grassland Structure and Function. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198744511.003.0003.
Texte intégralSchmidt-Thomé, Philipp. Climate Change Adaptation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.635.
Texte intégralVerschuur, Gerrit L. Impact ! Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195101058.001.0001.
Texte intégralJohansen, Bruce, et Adebowale Akande, dir. Nationalism : Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.
Texte intégralChapitres de livres sur le sujet "Vegetation indece"
Seraj, Zeba I., M. Bakhtiar Hossain, Noorain M. Rasul, Hasina Akhter, Haseena Khan, Shamim Hossain, M. A. Salam et Glenn Gregorio. « Agrobacterium-mediated transformation of Bangladesh indica for conferring salt tolerance ». Dans Tasks for vegetation science, 167–76. Dordrecht : Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0067-2_18.
Texte intégralDiezma Iglesias, Belén. « Proximal vegetation sensors ». Dans Manuali – Scienze Tecnologiche, 14. Florence : Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.14.
Texte intégralThompson, Keith, Clive Howard-Williams et David Mitchell. « A cross-indexed bibliography of African wetland plants and vegetation ». Dans 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.
Texte intégralKalsnes, Bjørn, et Vittoria Capobianco. « Use of Vegetation for Landslide Risk Mitigation ». Dans Springer Climate, 77–85. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_10.
Texte intégralSánchez-de-Miguel, Patricia, Pilar Baeza, Pedro Junquera et José Ramón Lissarrague. « Vegetative Development : Total Leaf Area and Surface Area Indexes ». Dans Methodologies and Results in Grapevine Research, 31–44. Dordrecht : Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9283-0_3.
Texte intégralSantos, Lorena A., Rolf E. O. Simoes, Karine R. Ferreira, Gilberto R. de Queiroz, Gilberto Camara et Rafael D. C. Santos. « Clustering Methods to Asses Land Cover Samples of MODIS Vegetation Indexes Time Series ». Dans 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.
Texte intégralQamer, 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 ». Dans 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.
Texte intégralMarques da Silva, José Rafael, et Manuela Correia. « The soil-water-plant agrisystem:a little about soil, water and plants ». Dans Manuali – Scienze Tecnologiche, 7. Florence : Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.07.
Texte intégralGrondin, Pierre, Marie-Hélène Brice, Yan Boulanger, Claude Morneau, Pierre-Luc Couillard, Pierre J. H. Richard, Aurélie Chalumeau et Véronique Poirier. « Ecological Classification in Forest Ecosystem Management : Links Between Current Practices and Future Climate Change in a Québec Case Study ». Dans Advances in Global Change Research, 219–46. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15988-6_8.
Texte intégralKoutsias, Nikos, Iliana Kalogeropoulou, Anastasia Karamitsou, Nikoletta G. Mili et 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 ». Dans 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.
Texte intégralActes de conférences sur le sujet "Vegetation indece"
Gupta, Aditya, Manasa R. Behera et Amin Heidarpour. « Numerical Modeling of Wave Damping Induced by Emerged Moving Vegetation ». Dans 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.
Texte intégralBarek, Viliam, Martina Kovacova, Dusan Igaz et Oleg Paulen. « INFLUENCE OF IRRIGATION ON THE MEASUREMENT OF SPECTRAL REFLECTANCE OF LEAVES ». Dans 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/5.1/s20.031.
Texte intégralGomezChova, L. « Solar induced fluorescence measurements using a field spectroradiometer ». Dans EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349354.
Texte intégralGonzález-Dugo, M. P. « Spectral Vegetation Indices For Estimating Cotton And Sugarbeet Evapotranspiration ». Dans EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349335.
Texte intégralSanti, E., S. Paloscia et P. Pampaloni. « Multifrequency microwave vegetation indexes for estimating vegetation biomass ». Dans IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7327002.
Texte intégralYang, Zhengwei, Liping Di, Genong Yu et Zeqiang Chen. « Vegetation condition indices for crop vegetation condition monitoring ». Dans IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049984.
Texte intégralTao, Jing, Jiancheng Shi, Tom Jackson, Rajat Bindlish, Jinyang Du et Lixin Zhang. « Monitoring Vegetation Water Content Using Microwave Vegetation Indices ». Dans IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4778827.
Texte intégralVercruysse, Joachim, et Greet Deruyter. « OPTIMISING VEGETATION-INPUT FOR DROUGHT ASSESSMENT WITH SENTINEL-2A DATA ». Dans 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s10.40.
Texte intégralKrtalic, Andrija. « ANALYSIS OF VEGETATION INDICES OF URBAN VEGETATION IN ZAGREB (CROATIA) ». Dans 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/2.3/s10.004.
Texte intégralKrtalic, Andrija. « ANALYSIS OF BURNED VEGETATION RECOVERY BY MEANS OF VEGETATION INDICES ». Dans 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/2.2/s10.055.
Texte intégralRapports d'organisations sur le sujet "Vegetation indece"
Becker, Sarah, Megan Maloney et Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), septembre 2021. http://dx.doi.org/10.21079/11681/42003.
Texte intégralManninen, Terhikki, et 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.
Texte intégralBusby, Ryan, Dick Gebhart, Steven Oxley, William Tarantino et Wade Wall. Estimating resistance and resilience of military lands using vegetation indices. Construction Engineering Research Laboratory (U.S.), septembre 2017. http://dx.doi.org/10.21079/11681/23953.
Texte intégralCole, 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.
Texte intégralChen, 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.
Texte intégralKamenova, Ilina, Lachezar Filchev et 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, avril 2018. http://dx.doi.org/10.7546/aerebu.29.18.01.06.
Texte intégralRochdi, N., et 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.
Texte intégralPradhan, 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.), septembre 2021. http://dx.doi.org/10.21079/11681/42128.
Texte intégralSalazar, Lina, Ana Claudia Palacios, Michael Selvaraj et 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, septembre 2021. http://dx.doi.org/10.18235/0003604.
Texte intégralBroussard, Whitney, Glenn Suir et 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.), octobre 2018. http://dx.doi.org/10.21079/11681/29517.
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