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B. Combal

Researcher at Institut national de la recherche agronomique

Publications -  21
Citations -  1086

B. Combal is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Climate change & Vegetation. The author has an hindex of 10, co-authored 21 publications receiving 966 citations. Previous affiliations of B. Combal include Blaise Pascal University & Centre national de la recherche scientifique.

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Retrieval of canopy biophysical variables from bidirectional reflectance Using prior information to solve the ill-posed inverse problem

TL;DR: In this paper, the use of prior information to reduce the uncertainties associated to the estimation of canopy biophysical variables in the radiative transfer model inversion process was investigated, and the results showed that the prior information significantly improves the accuracy of the estimation.
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Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies

TL;DR: In this paper, an algorithme permettant l'exploitation a la fois de l'information de nature radiometrique and d'informations supplementaires is presented.
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Time Series Analysis of Optical Remote Sensing Data for the Mapping of Temporary Surface Water Bodies in Sub-Saharan Western Africa

TL;DR: In this paper, a map of temporary small water bodies (TSWB) at 1 km resolution was derived for the arid, semi-arid and dry sub-humid regions of sub-Saharan western Africa where the spatio-temporal distribution of actual surface water occurrence exhibits high inter-and intra-annual variability.
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Coupling of Vegetation Growing Season Anomalies and Fire Activity with Hemispheric and Regional-Scale Climate Patterns in Central and East Siberia

TL;DR: In this paper, an 18-yr time series of the fraction of absorbed photosynthetically active radiation (fAPAR) taken in by the green parts of vegetation data from the NOAA Advanced Very High Resolution Radiometer (AVHRR) instrument series was analyzed for interannual variations in the start, peak, end, and length of the season of vegetation photosynthetic activity in central and east Siberia.
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Remote sensing capabilities to estimate pasture production in France

TL;DR: In this paper, 13 forage regions (FR) in France were selected on the basis of their different geomorphologic, climatic and soil conditions with regard to pastoral production and images from Systeme Probatoire de l'Observation de la Terre (SPOT) 4-VEGETATION were used to forecast productive variables estimated by the STICS-Prairie simulation model.