A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling
International Journal of Applied Earth Observation and GeoinformationPublished 13 July 2006
Wouter Dorigo, R. Zurita‐Milla, Allard de Wit, Jason Brazile, Ranvir Singh, Michael E. Schaepman
Citations626
SJR quartileQ1
SJR score2.24
SNIP2.21
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TL;DR
An overview of different methods that can be used to derive biophysical and biochemical canopy state variables from optical remote sensing data in the VNIR-SWIR regions and the prevailing techniques of assimilatingRemote sensing data into agroecosystem models are outlined.
Abstract
The paper presents an overview of different methods that can be used to derive biophysical and biochemical canopy state variables from optical remote sensing data in the VNIR and SWIR regions.
Keywords
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