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浏览/检索结果: 共398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 Monitoring soil organic carbon under coastal restoration using time series Sentinel-1 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2024, 卷号: N/A 作者:  Yang, Ren-Min;  Huang, Lai-Ming   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/04/08 Monte Carlo feature selection  random forests  soil organic carbon  structural equation modeling  synthetic aperture radar  vegetation phenology   CFNet: Conditional filter learning with dynamic noise estimation for real image denoising 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 284, 页码: 12 作者:  Zuo, Yifan;  Yao, Wenhao;  Zeng, Yifeng;  Xie, Jiacheng;  Fang, Yuming   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/03/26 Image denoising  Noise estimation  Conditional filter  Affine transform   Knowledge mapping on the sun-induced chlorophyll fluorescence technology research: a scientometric and visualization analysis 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 页码: 17 作者:  Li, Ming;  Wang, Yang;  Li, Na;  Chen, Bin;  Chou, Shuren   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/02/18 Sun-induced chlorophyll fluorescence  Remote sensing  Visualization  Scientometric   Preserving traditional systems: Identification of agricultural heritage areas based on agro-biodiversity 期刊论文  OAI收割 PLANTS PEOPLE PLANET, 2024 作者:  Bai, Yunxiao;  Li, Xiaoshuang;  Feng, Yuqing;  Liu, Moucheng;  Chen, Cheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/02/05 agricultural heritage systems  agro-biodiversity  identification of potential distribution areas  Maxent  traditional agriculture systems   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   Integrated drought vulnerability and risk assessment for future scenarios: An indicator based analysis 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 900, 页码: 14 作者:  Wang, Tingting;  Sun, Fubao   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/10/09 Drought risk  Drought vulnerability index  Drought hazard  Population  Climate change   Quality-assurance of heat-flow data: The new structure and evaluation scheme of the IHFC Global Heat Flow Database 期刊论文  OAI收割 TECTONOPHYSICS, 2023, 卷号: 863, 页码: 24 作者:  Fuchs, Sven;  Norden, Ben;  Neumann, Florian;  Kaul, Norbert;  Tanaka, Akiko   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/01/02 Heat-flow density  Quality scheme  Thermal geophysics  Global heat flow database (GHFD)  Thermal parameter  Data information system  International Heat Flow Commission (IHFC)   Quality-assurance of heat-flow data: The new structure and evaluation scheme of the IHFC Global Heat Flow Database 期刊论文  OAI收割 TECTONOPHYSICS, 2023, 卷号: 863, 页码: 24 作者:  Fuchs, Sven;  Norden, Ben;  Neumann, Florian;  Kaul, Norbert;  Tanaka, Akiko   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/13 Heat-flow density  Quality scheme  Thermal geophysics  Global heat flow database (GHFD)  Thermal parameter  Data information system  International Heat Flow Commission (IHFC)   Stress of spatial orientation of floating populations into Tibet on fragile ecosystem-Using geo-tagged big data 期刊论文  OAI收割 PEOPLE AND NATURE, 2023, 页码: 15 作者:  Fan, Jie;  Liu, Hanchu;  Sun, Zhongrui;  Yi, Jiawei;  Liu, Baoyin   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/10/23 ecological risks  ecological vulnerability  floating populations  geo-tagged big data  landscape aesthetic value  nature-based tourism  Tibet   Unsupervised real image super-resolution via knowledge distillation network 期刊论文  OAI收割 COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 卷号: 234 作者:  Yuan, Nianzeng;  Sun, Bangyong;  Zheng, Xiangtao   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/08/14 Super-resolution  Knowledge distillation  Degradation module  Convolutional neural network