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127.2平均天数
123中位天数
74最短天数
216最长天数
3842025发文量

Paper Review Records

全部论文审稿周期

20 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接

111 天

Forest gain in high elevations of the Himalayas revealed by long-term satellite records

作者
Chunling Wang; Min Feng; Yijie Sui; Kuo Zhang; Zhuoyu He; Jianbang Wang; Yunqiang Zhu; Xin Li展开收起
作者单位
1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; 2. University of Chinese Academy of Sciences; 3. National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System and Resource Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences; 4. College of Earth and Environmental Sciences, Lanzhou University; 5. College of Aerospace Intelligence, Hainan University展开收起
PDF源文件 DOI 网页
102 天

A cross-scale synergistic framework integrating UAV LiDAR and sentinel-2 imagery for fine-grained vegetation mapping in coastal wetlands

作者
Youwen Wang; Yunmei Li; Juhua Luo; Guannan Li; Haoqi Luo; Yike Wang; Yong Zhou; Jinlin Shi; Haoran Yang展开收起
作者单位
1. Key Laboratory of Virtual Geographic Environment of Education Ministry, School of Geography, Nanjing Normal University; 2. School of Geography, State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University; 3. State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences; 4. School of Geomatics, Anhui University of Science and Technology; 5. School of Environment, Nanjing Normal University; 6. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment; 7. School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology展开收起
PDF源文件 DOI 网页
100 天

A visual transformer and multi-task learning framework for building generalisation from raster maps

作者
Junbo Yu; Guanglei Pan; Yu Feng; Yi Xiao; Aji Gao; Li Liu; Huafei Yu; Tinghua Ai; Dong Ren展开收起
作者单位
1. College of Computer and Information Technology, China Three Gorges University; 2. Key Laboratory of Digital Mapping and Land Information Application, Minisitry of Natural Resources; 3. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University; 4. i3mainz - Institute for Spatial Information and Surveying Technology, University of Applied Sciences Mainz; 5. School of Computer and Software, Shenzhen University of Information Technology; 6. National Engineering Research Center for Digital Construction and Evaluation of Urban Rail Transit; 7. School of Resource and Environmental Sciences, Wuhan University展开收起
PDF源文件 DOI 网页
124 天

A simple method for large-scale realistic mountain forest scenes reconstruction using visible stereoscopic imagery combined with unmanned aerial vehicle laser scanning data

作者
Xiaohan Lin; Ainong Li; Jinhu Bian; Guangbin Lei; Zhengjian Zhang; Xi Nan; Limin Chen; Yi Deng展开收起
作者单位
1. Research Center of Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences; 2. College of Resources and Environment, University of Chinese Academy of Sciences; 3. Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province展开收起
PDF源文件 DOI 网页
125 天

Dynamics of artificial aquaculture ponds in China from 2015 to 2025

作者
Yao Chen; Xiuyuan Zhang; Shushi Peng; Haoyu Wang; Lubin Bai; Shuping Xiong; Mei Li; Shihong Du展开收起
作者单位
1. College of Urban and Environmental Sciences, Peking University; 2. Institute of Remote Sensing and GIS, Peking University展开收起
PDF源文件 DOI 网页
126 天

A vision-language model-driven spatiotemporal alignment framework for mitigating cross-sensor inconsistencies in real-world remote sensing image super-resolution

作者
Yujie Mao; Guojin He; Guizhou Wang; Ranyu Yin; Ziying Chen; Bin Guan; Hongxuan Zhang; Shihao An展开收起
作者单位
1. Aerospace Information Research Institute, Chinese Academy of Sciences; 2. University of Chinese Academy of Sciences; 3. Kashgar Aerospace Information Research Institute; 4. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; 5. School of Remote Sensing and Information Engineering, Wuhan University展开收起
PDF源文件 DOI 网页

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拟题建议
《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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