Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables-Reference-Cited by-同舟云学术

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Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables

Published:2023-07 Issue: Volume:151 Page:110296
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Fang Gengsheng,Xu Hao,Yang Sheng-I,Lou Xiongwei,Fang Luming

Funder

Science and Technology Program of Zhejiang Province

Zhejiang A and F University

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference81 articles.

1. ‘Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region’;Astola;Remote Sens. Environ.,2019

2. Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data;Battude;Remote Sens. Environ.,2016

3. ISPRS Journal of Photogrammetry and Remote Sensing Random forest in remote sensing: A review of applications and future directions;Belgiu;Gut,2016

4. Random forests;Breiman;Mach. Learn.,2001

5. Evaluating combinations of temporally aggregated Sentinel-1, Sentinel-2 and Landsat 8 for land cover mapping with Google Earth Engine;Carrasco;Remote Sens. (Basel),2019

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3. The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests;GIScience & Remote Sensing;2024-04-26

4. Interacting Sentinel-2A, Sentinel 1A, and GF-2 Imagery to Improve the Accuracy of Forest Aboveground Biomass Estimation in a Dry-Hot Valley;Forests;2024-04-22

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