Estimation and uncertainty analyses of grassland biomass in Northern China: Comparison of multiple remote sensing data sources and modeling approaches-Reference-Cited by-同舟云学术

Estimation and uncertainty analyses of grassland biomass in Northern China: Comparison of multiple remote sensing data sources and modeling approaches

Published:2016-01 Issue: Volume:60 Page:1031-1040
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Jia Wenxiao,Liu Min^ORCID,Yang Yuanhe,He Honglin,Zhu Xudong,Yang Fang,Yin Cai,Xiang Weining

Funder

Non-profit Special Research fund of National Environmental Protection of China

Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference55 articles.

1. Aboveground biomass assessment in Colombia: a remote sensing approach;Anaya;Forest Ecol. Manag.,2009

2. Feedbacks between vegetation and disturbance processes promote long-term persistence of forest–grassland mosaics in south Brazil;Blanco;Ecol. Model.,2014

3. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach;Burnham,2002

4. Fire and grazing differentially affect aerial biomass and species composition in Andean grasslands;Carilla;Acta Oecol.,2011

5. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau;Chen;Agr. Forest Meteorol.,2014

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-resolution mapping of grassland canopy cover in China through the integration of extensive drone imagery and satellite data;ISPRS Journal of Photogrammetry and Remote Sensing;2024-12

2. Estimation of grassland aboveground biomass in northern China based on topography-climate-remote sensing data;Ecological Indicators;2024-08

3. Two-tier classification framework for mapping grassland types using multisource earth observation data;GIScience & Remote Sensing;2024-07-27

4. An Improved Approach to Estimate Stocking Rate and Carrying Capacity Based on Remotely Sensed Phenology Timings;Remote Sensing;2024-05-31

5. Spatial and temporal patterns of above- and below- ground biomass over the Tibet Plateau grasslands and their sensitivity to climate change;Science of The Total Environment;2024-04