机构

• 地理科学与资源研究... [92]
• 海洋研究所 [6]
• 植物研究所 [6]
• 南京地理与湖泊研究所 [4]
• 成都山地灾害与环境研... [3]
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采集方式

• OAI收割 [121]

内容类型

• 期刊论文 [121]

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• 2024 [6]
• 2023 [24]
• 2022 [23]
• 2021 [21]
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学科主题

• Remote Sen... [6]
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筛选

浏览/检索结果: 共121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 Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations 期刊论文  OAI收割 Remote Sensing of Environment, 2024, 卷号: 304 作者:  Chen, Fang;  Zhang, Meimei;  Zhao, Hang;  Guan, Weigui;  Yang, Aqiang   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/04/10 Flood monitoring  Climate change  Snow melting  Pakistan  Synthetic Aperture Radar (SAR)   A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020 期刊论文  OAI收割 SCIENTIFIC DATA, 2024, 卷号: 11, 期号: 1, 页码: 198 作者:  Feng, Quanlong;  Niu, Bowen;  Ren, Yan;  Su, Shuai;  Wang, Jiudong   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/03/11 Assessing spatial variations in soil organic carbon and C:N ratio in Northeast China's black soil region: Insights from Landsat-9 satellite and crop growth information 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2024, 卷号: 235, 页码: 14 作者:  Geng, Jing;  Tan, Qiuyuan;  Lv, Junwei;  Fang, Huajun   |  收藏  |  浏览/下载：41/0  |  提交时间：2023/11/13 Black soils  Landsat-9  Crop growth  Multi -temporal imagery   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   Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 216, 页码: 14 作者:  Xiong, Xingguo;  Yang, Jie;  Zhong, Renhai;  Dong, Jinwei;  Huang, Jingfeng   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/02/19 Harvester trajectory  Satellite images  Data fusion  Deep learning  Crop mapping   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   An insightful metric for evaluating perceived benefits from water quality enhancement in waterscape parks: A behavioral analysis approach 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2023, 卷号: 157, 页码: 111292 作者:  Jiang, Wen;  Meng, Yaobin;  Wang, Ping   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/04 Water quality  Waterscape parks  Visitor behavior  Sentinel-2  Mobile phone data  Cultural Ecosystem Services   A lightweight and scalable greenhouse mapping method based on remote sensing imagery 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 125, 页码: 13 作者:  Chen, Wei;  Wang, Qingpeng;  Wang, Dongliang;  Xu, Yameng;  He, Yingxuan   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/02 Greenhouses  Deep learning  Semantic segmentation  Remote sensing imagery  Low-cost   Characterizing water body changes in Poyang lake using multi-source remote sensing data 期刊论文  OAI收割 ENVIRONMENTAL DEVELOPMENT, 2023, 卷号: 48, 页码: 13 作者:  Wang, Wenyu;  Yang, Peng;  Xia, Jun;  Zhang, Shengqing;  Luo, Xiangang   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/03/01 Poyang lake  Machine learning  GEE  Altimetry satellite  Sentinel-2   Production-Living-Ecological Spatial Function Identification and Pattern Analysis Based on Multi-Source Geographic Data and Machine Learning 期刊论文  OAI收割 LAND, 2023, 卷号: 12, 期号: 11, 页码: 2029 作者:  Bu, Ziqiang;  Fu, Jingying;  Jiang, Dong;  Lin, Gang   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/01/04 multi-source data  multi-scale segmented  PLES  random forest