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浏览/检索结果: 共1181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 Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 13 作者:  Nie, Mingqiu;  Huang, Shengzhi;  Duan, Weili;  Leng, Guoyong;  Bai, Ganggang   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/01/22 Spatiotemporal synchronism  Meteorological drought  Migration characteristics  Dynamics   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：9/0  |  提交时间：2024/04/08 land use and land cover change (LUCC)  spatiotemporal analysis  past millennium  the Yellow River Basin   Water Conservation Implications Based on Tempo-Spatial Characteristics of Water Footprint in the Water-Receiving Areas of the South-to-North Water Diversion Project, China 期刊论文  OAI收割 SUSTAINABILITY, 2024, 卷号: 16, 期号: 3, 页码: 18 作者:  Feng, Ziheng;  Sun, Liying   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/03/10 water footprint  water conservation  Mann-Kendall trend test  Sen's slope  Dagum Gini coefficient decomposition method  tempo-spatial characteristics   Virtual water flows and drivers in the international trade of agricultural products of the regional comprehensive economic partnership 期刊论文  OAI收割 WATER SCIENCE AND TECHNOLOGY, 2024, 页码: 15 作者:  Zhang, Min;  Zhang, Yu;  Tian, Qing;  Man, Xiaojie;  Wang, Mengfan   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/01 agricultural product  driver  the regional comprehensive economic partnership trade structure  virtual water   Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 349, 页码: 13 作者:  Zhang, Chenchen;  Xiao, Xiangming;  Wang, Xinxin;  Qin, Yuanwei;  Doughty, Russell   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/01/22 Seasonal open-canopy marsh  Yearlong closed-canopy marsh  Forest swamp  Knowledge-based algorithm  Google Earth engine   Projections of land use/cover change and habitat quality in the model area of Yellow River delta by coupling land subsidence and sea level rise 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 14 作者:  Tang, Zhixiong;  Ning, Rongrong;  Wang, De;  Tian, Xinpeng;  Bi, Xiaoli   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/02/23 Seawater inundation  Scenario simulation  SBAS-InSAR  PLUS model  InVEST model  Coastal area   Greenhouse gas emissions of rice supply chain in China: From production to trade 期刊论文  OAI收割 RESOURCES CONSERVATION AND RECYCLING, 2024, 卷号: 202, 页码: 107356 作者:  Wang, Yifei;  Deng, Xiangzheng;  Wang, Ruixue   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/01/26 Sustainable food system  Net-zero emissions  Supply chain  Cultivated area change  Structural path analysis   Mapping the spatiotemporal patterns of tillage practices across Chinese croplands with Google Earth Engine 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 216, 页码: 11 作者:  Wang, Yicheng;  Tao, Fulu;  Chen, Yi;  Yin, Lichang   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/03/01 Agricultural management  Crop mapping  Conservation agriculture  Croplands  Tillage   Soil conservation ecosystem service supply-demand and multi scenario simulation in the Loess Plateau, China 期刊论文  OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2024, 卷号: 49, 页码: 22 作者:  Jian, Zhen;  Sun, Yingjun;  Wang, Fang;  Zhou, Chenghu;  Pan, Fang   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/03/04 Ecosystem service  Soil conservation service  InVEST-PLUS  Multi-scenario simulation  Supply-demand balance   Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 1, 页码: 39 作者:  Ji, Zhonglin;  Ren, Hongyan;  Zha, Chenfeng;  Adem, Eshetu Shifaw   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/05 remote sensing  ALOS  GF  object-oriented  machine learning