Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products-Reference-Cited by-同舟云学术

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Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products

Published:2021-07 Issue: Volume:260 Page:112438
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Yan Kai,Pu Jiabin,Park Taejin,Xu Baodong,Zeng Yelu,Yan Guangjian,Weiss Marie,Knyazikhin Yuri,Myneni Ranga B.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

State Key Laboratory of Remote Sensing Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference47 articles.

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3. GLC2000: a new approach to global land cover mapping from earth observation data;Bartholome;Int. J. Remote Sens.,2005

4. Performance of LAI-MODIS and the influence on drought simulation in a Mediterranean forest;Chakroun;Ecohydrology,2014

5. Adapting observationally based metrics of biogeophysical feedbacks from land cover/land use change to climate modeling;Chen;Environ. Res. Lett.,2016

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1. LAIr: an R package to estimate LAI from Normalized Difference Vegetation Index;SoftwareX;2024-09

2. Improving MODIS Gross Primary Productivity by Bridging Big‐Leaf and Two‐Leaf Light Use Efficiency Models;Journal of Geophysical Research: Biogeosciences;2024-05

3. Multi-sensor high spatial resolution leaf area index estimation by combining surface reflectance with vegetation indices for highly heterogeneous regions: A case study of the Chishui River Basin in southwest China;Ecological Informatics;2024-05

4. HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022;Earth System Science Data;2024-03-26

5. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products;Remote Sensing of Environment;2024-03

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