Remote sensing, Normalized Difference Vegetation Index, Canopy, Leaf area index and Agriculture are her primary areas of study. Her multidisciplinary approach integrates Remote sensing and Temporal resolution in her work. Her Normalized Difference Vegetation Index research is within the category of Vegetation.
Agnès Bégué regularly links together related areas like Interception in her Canopy studies. Her Leaf area index study which covers Water balance that intersects with Ecosystem model, Thematic Mapper and Water content. While the research belongs to areas of Agriculture, Agnès Bégué spends her time largely on the problem of Crop, intersecting her research to questions surrounding Agroforestry, Soil quality, Ecoregion and Wet season.
Her primary scientific interests are in Remote sensing, Normalized Difference Vegetation Index, Vegetation, Agriculture and Canopy. The various areas that she examines in her Remote sensing study include Land cover, Land use, Leaf area index and Crop. Her study in Normalized Difference Vegetation Index is interdisciplinary in nature, drawing from both Climatology, Meteorology and Scale.
Her Vegetation study incorporates themes from Hydrology and Spatial variability. Her Agriculture research is multidisciplinary, incorporating perspectives in Agroforestry, Random forest and Environmental resource management. Her research integrates issues of Albedo and Interception in her study of Canopy.
Agnès Bégué spends much of her time researching Remote sensing, Agriculture, Land cover, Land use and Random forest. Her Remote sensing research includes elements of Data science, Multiple cropping and Vegetation, Normalized Difference Vegetation Index. The study incorporates disciplines such as Time series, Cropping, Tiger bush, Trend analysis and Scale in addition to Normalized Difference Vegetation Index.
The Land cover study combines topics in areas such as Cartography, Overgrazing, Field and Spearman's rank correlation coefficient. Her Random forest study combines topics from a wide range of disciplines, such as Crop, Digital elevation model and Spatial variability. Her Spatial variability research also works with subjects such as
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Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island
Nicolas Baghdadi;Nathalie Boyer;Pierre Todoroff;Mahmoud El Hajj.
Remote Sensing of Environment (2009)
Remote Sensing and Cropping Practices: A Review
Agnès Bégué;Damien Arvor;Beatriz Bellón;Julie Betbeder.
Remote Sensing (2018)
Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test
Valentine Lebourgeois;Agnès Bégué;Sylvain Labbé;Benjamin Mallavan.
Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices
Damien Arvor;Meirelles Margareth;Vincent Dubreuil;Agnes Begue.
Applied Geography (2012)
PAR extinction in shortgrass ecosystems: effects of clumping, sky conditions and soil albedo
Yann Nouvellon;Agnès Bégué;M. Susan Moran;Danny Lo Seen.
Agricultural and Forest Meteorology (2000)
Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach
Agnès Bégué;Elodie Vintrou;Denis Ruelland;Maxime Claden.
Global Environmental Change-human and Policy Dimensions (2011)
Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products
Elodie Vintrou;Annie Desbrosse;Agnès Bégué;Sibiry Traoré.
International Journal of Applied Earth Observation and Geoinformation (2012)
Relative Radiometric Normalization and Atmospheric Correction of a SPOT 5 Time Series
Mahmoud El Hajj;Agnès Bégué;Bruno Lafrance;Olivier Hagolle.
Leaf area index, intercepted photosynthetically active radiation, and spectral vegetation indices: A sensitivity analysis for regular-clumped canopies
Remote Sensing of Environment (1993)
A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)
Valentine Lebourgeois;Stéphane Dupuy;Élodie Vintrou;Maël Ameline.
Remote Sensing (2017)
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