Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods-Reference-Cited by-同舟云学术

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Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods

Published:2020-09 Issue: Volume:167 Page:214-229
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Wang Bing^ORCID,Jia Kun,Wei Xiangqin,Xia Mu,Yao Yunjun,Zhang Xiaotong,Liu Duanyang,Tao Guofeng

Funder

Second Tibetan Plateau Scientific Expedition and Research Program

National Natural Science Foundation of China

National Key Research and Development Program of China

Beijing Normal University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference70 articles.

1. Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring;Azzari;Remote Sens. Environ.,2017

2. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation;Bacour;Remote Sens. Environ.,2006

3. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm;Baret;Remote Sens. Environ.,2007

4. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production;Baret;Remote Sens. Environ.,2013

5. Monitoring fractional green vegetation cover dynamics over a seasonally inundated alpine wetland using dense time series HJ-1A/B constellation images and an adaptive endmember selection LSMM model;Bian;Remote Sens. Environ.,2017

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1. Spatial Scale Effect on Fractional Vegetation Coverage Changes and Driving Factors in the Henan Section of the Yellow River Basin;Remote Sensing;2024-07-13

2. A novel approach for estimating fractional cover of crops by correcting angular effect using radiative transfer models and UAV multi-angular spectral data;Computers and Electronics in Agriculture;2024-07

3. Simultaneous estimation of five temporally regular land variables at seven spatial resolutions from seven satellite data using a multi-scale and multi-depth convolutional neural network;Remote Sensing of Environment;2024-02

4. Past and projected future patterns of fractional vegetation coverage in China;Science of The Total Environment;2023-12

5. Spatiotemporal Variation in Vegetation and Its Driving Mechanisms in the Southwest Alpine Canyon Area of China;Forests;2023-11-30

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