Tea tree recognition based on multi-source satellite data across Southeast China. [PDF]
Cong N, Zhao R, Qiu Y, Zhao C.
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Modeling of Fiber Orientation-Dependent R1 Relaxation in Human White Matter In Vivo Within The Framework of The Transient Hydrogen Bond Model. [PDF]
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UAV-Based Estimation of Tea Leaf Area Index in Mountainous Terrain: Integrating Topographic Correction and Interpretable Machine Learning. [PDF]
Lin N, Zhao J, Shao H, Wang M, Chen H.
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Sustainable development trade-offs shape the acceptability of climate mitigation scenarios
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Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages. [PDF]
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Remote Sensing of Environment, 2002Abstract We evaluated the initial 12 months of vegetation index product availability from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Earth Observing System-Terra platform. Two MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), are produced at 1-km and 500-m
Alfredo Huete
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Abstract The information content of vegetation indices currently derived from satellite observations is discussed using a physically‐based approach. These indices can, in principle, be related to some of the biophysical properties of the canopy through a complex set of equations, provided atmospheric effects, the anisotropy of the coupled surface ...
Michel Verstraete, Bernard Pinty
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Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices
Abstract Litter is frequently present within vegetation canopies and thus contributes to the overall spectral response of a canopy. Consequently, litter will affect spectral indices designed to be sensitive to green vegetation, soil brightness or other features.
W.J.D. van Leeuwen, A.R. Huete
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