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浏览/检索结果: 共184条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Spatiotemporal Characteristics of Land Cover Change in the Yellow River Basin over the Past Millennium 期刊论文  OAI收割 LAND, 2024, 卷号: 13, 期号: 2, 页码: 260 作者:  Wang, Yafei;  Yang, Fan;  He, Fanneng   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/08 land use and land cover change (LUCC)  spatiotemporal analysis  past millennium  the Yellow River Basin   Spatial variation of sulfur in terrestrial ecosystems in China: Content, density, and storage 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 906, 页码: 13 作者:  Zhao, Wenzong;  Xiao, Chunwang;  Li, Mingxu;  Xu, Li;  Li, Xin   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/10 Element  Sulfur  Density  Machine learning  Terrestrial ecosystem  China   Soil carbon sequestration potential of cultivated lands and its controlling factors in China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 905, 页码: 11 作者:  Wang, Shuai;  Xu, Li;  Adhikari, Kabindra;  He, Nianpeng   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/29 Carbon sequestration  Machine learning  Cultivated lands  Environmental variable  Spatial variation  Anthropogenic factors   Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents 期刊论文  OAI收割 GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2023, 页码: 11 作者:  Yu, Kailiang;  Ciais, Philippe;  Bloom, Anthony A.;  Wang, Jingsong;  Liu, Zhihua   |  收藏  |  浏览/下载：58/0  |  提交时间：2023/10/09 biomass accumulation rates  continents  mature forests  mortality  woody carbon turnover time   Characterization of the layered SIF distribution through hyperspectral observation and SCOPE modeling for a subtropical evergreen forest 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2023, 卷号: 201, 页码: 78-91 作者:  Zhu, Kai;  Chen, Jinghua;  Wang, Shaoqiang;  Fang, Hongliang;  Chen, Bin   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/07/14 Solar -induced chlorophyll fluorescence  Subtropical evergreen forest  Radiative transfer  Vertical heterogeneity  Understory   Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China's forest ecosystem 期刊论文  OAI收割 HELIYON, 2023, 卷号: 9, 期号: 6, 页码: e17243 作者:  Wang, Zhaosheng;  Li, Renqiang;  Guo, Qingchun;  Wang, Zhaojun;  Huang, Mei   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/09/07 Learning ensembles of process-based models  Random forest model  Forest ecosystem  Carbon sink potential   Comparison of Forest Restorations with Different Burning Severities Using Various Restoration Methods at Tuqiang Forestry Bureau of Greater Hinggan Mountains 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 16 作者:  Zhao, Guangshuai;  Xu, Erqi;  Yi, Xutong;  Guo, Ye;  Zhang, Kun   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/10/09 forest fire  forest restoration  remote sensing index  Landsat-5 data  burning severity  restoration methods   Soil Organic Carbon Prediction Using Sentinel-2 Data and Environmental Variables in a Karst Trough Valley Area of Southwest China 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 8, 页码: 2118 作者:  Wang, Ting;  Zhou, Wei;  Xiao, Jieyun;  Li, Haoran;  Yao, Li   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/06/10 soil organic carbon  complex surface  remote retrieval  machine learning  karst trough valley area   Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 8, 页码: 12 作者:  Filella, Iolanda;  Descals, Adria;  Balzarolo, Manuela;  Yin, Gaofei;  Verger, Aleixandre   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/10/09 GPP  clumping index  NIRv  photosynthetically active radiation  evergreen needleleaf forest  vegetation cover type   Spatial Distribution of Soil Organic Carbon and Total Nitrogen in a Micro-Catchment of Northeast China and Their Influencing Factors 期刊论文  OAI收割 SUSTAINABILITY, 2023, 卷号: 15, 期号: 8, 页码: 12 作者:  Tian, Jiayu;  Yuan, Yaru;  Zhou, Pengchong;  Wang, Lixin;  Chen, Zhuoxin   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/10/09 spatial variability  gully  soil organic carbon  total nitrogen  influencing factors