Работы, цитирующие эту работу

Работ: 3

Работа: GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production

1. Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning Regression Algorithms Incorporating Empirical Knowledge

   Beibei Shen, Lei Ding, Leichao Ma +9

   СтатьяRemote Sensing in AgricultureRemote Sensing2022Цитирований: 1

   ABIABI:AkademIndex/openalex/2022.article.000277

2. Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model

   Zhenwang Li, Lei Ding, Beibei Shen +11

   СтатьяRemote Sensing in AgricultureThe Science of The Total Environment2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000725

3. Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China

   Beibei Shen, Jingpeng Guo, Zhenwang Li +9

   СтатьяRemote Sensing in AgricultureRemote Sensing2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000913