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A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle

artículo científico publicado en 2021

Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data

artículo científico publicado en 2022

Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images

artículo científico publicado en 2023

Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China.

artículo científico publicado en 2010

Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations

scientific article published on 29 January 2021

Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index

scientific article published on 21 May 2021

Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle

artículo científico publicado en 2023

Monitoring Geologic Hazards and Vegetation Recovery in the Wenchuan Earthquake Region Using Aerial Photography

artículo científico publicado en 2014

The Potential of Hue Angle Calculated Based on Multispectral Reflectance for Leaf Chlorophyll Content Estimation

artículo científico publicado en 2023

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