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浏览/检索结果: 共168条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Divergent responses of soil organic carbon stocks in different layers to global changes on the Tibetan Plateau 期刊论文  OAI收割 CATENA, 2026, 卷号: 265, 页码: 16 作者:  Zhang, Xin;  Chen, Hongjin;  Zhou, Jun;  Zhang, Xiyu;  Fan, Jianrong   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/31 Climate change  Machine learning  Spatial analysis  Environmental factors  Soil layer.   Unraveling the drivers and synergistic mechanisms of selenium distribution in cultivated soils across China: A quantitative analysis using explainable machine learning 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 507, 页码: 141790 作者:  Wang, Jing;  Zhong, Chuanliang;  Shang, Cailing;  Wei, Binggan;  Wu, Ye   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Selenium  Cultivated soil  Spatial distribution  Environmental drivers  Explainable machine learning   Global uncertainty of various downward shortwave solar radiation products 期刊论文  OAI收割 ENERGY, 2026, 卷号: 346, 页码: 140282 作者:  Xu, Wenchao;  Li, Runkui;  Guo, Tongze;  Wang, Tianyi;  Dong, Xinran   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Solar radiation  Uncertainty  Spatial pattern  Explainable machine learning   Global governance priorities derived from SDG spatiotemporal dynamics and causal interactions 期刊论文  OAI收割 GONDWANA RESEARCH, 2026, 卷号: 151, 页码: 242-253 作者:  Huan, Yizhong;  Ji, Linjiang;  Su, Yiming;  Kong, Feng;  Lan, Yang   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Sustainable development  Spatial characteristics  Machine learning  Causalities  Global North  Global South  Global governance   Assessing spatial variation in carbon stocks across China's wetland ecosystems 期刊论文  OAI收割 RESOURCES CONSERVATION AND RECYCLING, 2026, 卷号: 227, 页码: 108763 作者:  Peng, Bo;  Zhou, Zhiyong;  Xu, Li;  He, Nianpeng   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Wetland  Carbon stocks  Spatial variability  Carbon cycling  Machine learning   Soil Heavy Metals for Sustainable Risk Management: A Systematic Review and a Context-Aware Method Selection Framework 期刊论文  OAI收割 SUSTAINABILITY, 2026, 卷号: 18, 期号: 4, 页码: 1893 作者:  Yang, Leqi;  Yue, Tianxiang;  Ma, Maohua   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 soil heavy metals  spatial interpolation  sustainable land management  precision environmental monitoring  method selection  context diagnosis  decision support tool  uncertainty  geostatistics  machine learning   High spatial resolution GLASS FAPAR (version 2) product from Landsat imagery: Algorithm development using a knowledge transfer strategy 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2026, 卷号: 146, 页码: 15 作者:  Qiao, Yuting;  Jin, Huaan;  He, Tao;  Liang, Shunlin;  Tian, Feng   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/02/06 High spatial resolution  FAPAR  Deep learning  Transfer learning  Landsat   Exploring the influencing factors of noise complaints in New York City based on an interpretable machine learning model 期刊论文  OAI收割 ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2026, 卷号: 116, 页码: 108100 作者:  Song, Liuyi;  Zhang, An;  Kwan, Mei-Po   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/09/22 Noise complaints  Interpretable machine learning  Demographic characteristics  Spatial inequality   CA-STIM: an interpolation model with spatio-temporal evolution characteristics and cross-attention mechanism for 2D island morphology sequences 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2513591 作者:  Zhang, Peng;  Wu, Wenzhou;  Shi, Shaochen;  Li, Fengyu;  Su, Fenzhen   |  收藏  |  浏览/下载：63/0  |  提交时间：2025/07/18 Spatial morphology evolution of islands  interpolation  cross attention  feature fusion  deep learning   Driving mechanisms and high-risk area prediction of arsenic pollution in surface water of the Shaanxi Wei River Basin 期刊论文  OAI收割 ENVIRONMENTAL POLLUTION, 2025, 卷号: 387, 页码: 127297 作者:  Zha, Xinjie;  Xu, Hongzhao;  Tian, Yuan;  An, Jialu;  Di, Jin   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/19 Arsenic  Spatial heterogeneity  Driving mechanism  Geographical detector  Machine learning  Weihe River Basin