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• 遥感与数字地球研究所 [5]
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• OAI收割 [52]
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• 期刊论文 [40]
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筛选

浏览/检索结果: 共55条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Intelligent determination of proper spatial extents for input data during geographical model workflow building 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 187, 页码: 106369 作者:  Chen, Zi-Yue;  Qin, Cheng-Zhi;  Zhu, Liang-Jun;  Wu, Cheng-Long;  Ren, Ying-Chao   |  收藏  |  浏览/下载：14/0  |  提交时间：2025/04/21 Intelligent geographical modeling  Input data preparation  Spatial extent  Geographical model workflow  Geoprocessing   Latitudinal patterns of tree β-diversity and relevant ecological processes vary across spatial extents in forests of southeastern China 期刊论文  OAI收割 PLANT DIVERSITY, 2025, 卷号: 47, 期号: 1, 页码: 89-97 作者:  Liu, Maochou;  Wu, Wenxiang;  Wang, Ke;  Ren, Xinshuai;  Zhang, Xueqin   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/03/18 Environmental filtering  Latitudinal pattern  Forest beta diversity  Spatial extent  Species spatial aggregation  Regional community   Near-epicenter-based partial matching crossover algorithm for estimating the strong-shaking zone of large earthquakes 期刊论文  OAI收割 BULLETIN OF EARTHQUAKE ENGINEERING, 2024, 卷号: N/A 作者:  Wang, Yuan;  Colombelli, Simona;  Zollo, Aldo;  Li, Shanyou   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/09/19 Earthquake early warning  Earthquake magnitude  Fault rupture extent  Lead time  P-wave amplitude parameters  Strong-shaking zone   Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 305, 页码: 114100 作者:  Chen, Yuehong;  Zhou, Jiayue;  Ge, Yong;  Dong, Jinwei   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/06/17 Photovoltaic power plants  Spatial extent  Installation date  Expansion pattern  Deep learning   Boundary Delineator for Martian Crater Instances with Geographic Information and Deep Learning 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 16, 页码: 25 作者:  Liu, Danyang;  Cheng, Weiming;  Qian, Zhen;  Deng, Jiayin;  Liu, Jianzhong   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/10/09 geographic information  Martian impact craters  large geographic extent  crater detection algorithm  deep learning   A Self-Adaptive Thresholding Approach for Automatic Water Extraction Using Sentinel-1 SAR Imagery Based on OTSU Algorithm and Distance Block 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 2690 作者:  Tan, Jianbo;  Tang, Yi;  Liu, Bin;  Zhao, Guang;  Mu, Yu   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/07/14 self-adaptive thresholding approach  automatic water extraction  OTSU  distance block  water extent  Sentinel-1   Comparison of IUCN and species distribution modeling-estimated ranges of shorebirds in Coastal Mainland China 期刊论文  OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2022, 卷号: 38, 页码: 12 作者:  Duan, Houlang;  Yu, Xiubo;  Xia, Shaoxia;  Liu, Yu   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/09/21 Citizen science data  Conservation and management  Extent of Occurrence (EOO)  MaxEnt  Threat   Comparison of IUCN and species distribution modeling-estimated ranges of shorebirds in Coastal Mainland China 期刊论文  OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2022, 卷号: 38, 页码: 12 作者:  Duan, Houlang;  Yu, Xiubo;  Xia, Shaoxia;  Liu, Yu   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/09/21 Citizen science data  Conservation and management  Extent of Occurrence (EOO)  MaxEnt  Threat   Sediment quality in the water-level-fluctuation-zone of the Three Gorges Reservoir, China 会议论文  OAI收割 Chengdu, October 11, 2012 - October 15, 2012 作者:  Cao, Zhijing;  Bao, Yuhai   |  收藏  |  浏览/下载：1116/0  |  提交时间：2018/10/19 three gorges reservoir  water-level-fluctuation-zone  heavy metals  nutrients  iment  pollution extent   Using multisource remote sensing data to predict the maximum flood extent in poorly gauged basins 期刊论文  OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2022, 卷号: 16, 期号: 1, 页码: 19 作者:  Gao, Long;  Liu, Kai   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 flood early warning  peak stage  flood early warning  maximum flood extent  peak stage  maximum flood extent  remote sensing