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A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau

文献类型：期刊论文

作者Wang, Juan1,2,6; Zhang, Aiwu1,2,6; Shi, Jiancong1,2,6; Kang, Xiaoyan5; He, Nianpeng4; Gao, Xinwang1,2,6; Pang, Haiyang3
刊名ECOLOGICAL INDICATORS
出版日期2024-12-01
卷号169页码:13
关键词Grassland key belt Tibetan Plateau Gradient variation of aboveground biomass Multimodal features Radiometric bit-depth & residual quantization
ISSN号1470-160X
DOI10.1016/j.ecolind.2024.112890
产权排序4
英文摘要The harsh climate and vast terrain of the Tibetan Plateau present significant challenges for large-scale remote sensing monitoring of grasslands, particularly in regions where the variation patterns of aboveground biomass (AGB) are influenced by high spatial complexity and pronounced environmental variability, further complicating the monitoring and estimation processes. To address this pressing issue, we propose a novel concept called the "grassland key belt," which utilizes localized studies to reflect regional dynamics. Using AGB estimation in this key belt as a case study, we analyzed the gradient changes in AGB across different elevations. To achieve this, we used a bit-depth & residual quantization method for mining radiometric information from remote sensing images and integrated multimodal features, including remote sensing, terrain, and climate data, to accurately estimate AGB and generate an AGB distribution map. The experimental results demonstrate significant estimation accuracy, with an R-2 of 0.8728 and an RMSE of 17.4799 g/m(2). The study reveals an increasing trend in AGB as elevation decreases, with southern regions exhibiting higher AGB due to superior hydrothermal conditions. Notably, the southeastern grasslands display the highest AGB, consistent with previous studies, thus validating the reliability of the "grassland key belt" concept. This research advances the application of remote sensing technologies for monitoring vegetation dynamics in challenging environments, providing valuable insights for sustainable ecosystem management.
WOS关键词RESIDUAL QUANTIZATION ; HYPERSPECTRAL IMAGE ; VEGETATION INDEXES ; CLASSIFICATION ; PRODUCTIVITY ; RESOLUTION ; LANDSAT ; CLIMATE
资助项目National Natural Science Foundation of China[42071303] ; National Natural Science Foundation of China[41571369] ; Science and Technology Program of Qinghai Province of China[2022-NK-136] ; Joint program of Beijing Municipal Education Commission ; Beijing Municipal Natural Science Foundation of China[KZ202110028044]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001373180400001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Science and Technology Program of Qinghai Province of China ; Joint program of Beijing Municipal Education Commission ; Beijing Municipal Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/212089]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Zhang, Aiwu
作者单位1.Capital Normal Univ, Ctr Geog Environm Res & Educ, Beijing 100048, Peoples R China
2.Capital Normal Univ, Engn Res Ctr Space Informat Technol, Minist Educ, Beijing 100048, Peoples R China
3.Dezhou Univ, Sch Ecol Resources & Environm, Dezhou 253023, Peoples R China
4.Northeast Forestry Univ, Ctr Ecol Res, Harbin 150040, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
6.Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Juan,Zhang, Aiwu,Shi, Jiancong,et al. A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau[J]. ECOLOGICAL INDICATORS,2024,169:13.
APA Wang, Juan.,Zhang, Aiwu.,Shi, Jiancong.,Kang, Xiaoyan.,He, Nianpeng.,...&Pang, Haiyang.(2024).A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau.ECOLOGICAL INDICATORS,169,13.
MLA Wang, Juan,et al."A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau".ECOLOGICAL INDICATORS 169(2024):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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