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浏览/检索结果: 共66条，第1-10条 帮助 限定条件 发表日期：2019    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Full Satellite-Driven Method for the Retrieval of Clear-Sky Evapotranspiration 期刊论文 EARTH AND SPACE SCIENCE, 2019, 页码: 12 作者:  Leng, Pei;  Liao, Qian-Yu;  Gao, Mao-Fang;  Duan, Si-Bo;  Li, Zhao-Liang 收藏  |  浏览/下载：7/0  |  提交时间：2020/05/19 evapotranspiration  satellite-driven  temperature-vegetation trapezoidal feature space  two-stage   Sea Surface-Visible Aquaculture Spatial-Temporal Distribution Remote Sensing: A Case Study in Liaoning Province, China from 2000 to 2018 期刊论文 SUSTAINABILITY, 2019, 卷号: 11, 期号: 24, 页码: 23 作者:  Kang, Junmei;  Sui, Lichun;  Yang, Xiaomei;  Liu, Yueming;  Wang, Zhihua 收藏  |  浏览/下载：126/0  |  提交时间：2020/05/19 remote sensing  marine aquaculture  spatial distribution  dynamic monitoring  Liaoning Province   Improvement of Split-Window Algorithm for Land Surface Temperature Retrieval from Sentinel-3A SLSTR Data Over Barren Surfaces Using ASTER GED Product 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 19 作者:  Zhang, Shuting;  Duan, Si-Bo;  Li, Zhao-Liang;  Huang, Cheng;  Wu, Hua 收藏  |  浏览/下载：9/0  |  提交时间：2020/05/19 land surface temperature  split-window algorithm  temperature validation  SLSTR  ASTER GED   Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18 作者:  Liu, Wei;  Yang, MengYuan;  Xie, Meng;  Guo, Zihui;  Li, ErZhu 收藏  |  浏览/下载：4/0  |  提交时间：2020/05/19 building extraction  digital surface model  unmanned aerial vehicle images  chain full convolution neural network  fusion   Enhanced geographic information system-based mapping of local climate zones in Beijing, China 期刊论文 SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2019, 卷号: 62, 期号: 12, 页码: 2243-2260 作者:  Quan, JinLing 收藏  |  浏览/下载：5/0  |  提交时间：2020/05/19 geographic information system (GIS)  remote sensing  local climate zone (LCZ)  land surface temperature  urban morphology   Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 23, 页码: 23 作者:  Liu, Xiangyang;  Tang, Bo-Hui;  Yan, Guangjian;  Li, Zhao-Liang;  Liang, Shunlin 收藏  |  浏览/下载：11/0  |  提交时间：2020/05/19 land surface temperature (LST)  long-term  NOAA-AVHRR  generalized split-window (GSW)  orbit drift correction (ODC)  diurnal temperature cycle (DTC)   3-D Deep Feature Construction for Mobile Laser Scanning Point Cloud Registration 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 12, 页码: 1904-1908 作者:  Zhang, Zhenxin;  Sun, Lan;  Zhong, Ruofei;  Chen, Dong;  Xu, Zhihua 收藏  |  浏览/下载：68/0  |  提交时间：2020/05/19 3-D deep features  convolutional neural networks (CNNs)  mobile laser scanning (MLS) point clouds  registration   Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery 期刊论文 ECOLOGICAL INDICATORS, 2019, 卷号: 107, 页码: 8 作者:  Tang, Ze;  Zhang, Yangjian;  Cong, Nan;  Wimberly, Michael;  Wang, Li 收藏  |  浏览/下载：68/0  |  提交时间：2020/05/19 Pika hole  Vegetation coverage  Northern Tibet  UAV images  Object-oriented classification   Climate control on summer precipitation in the Source Region of Three Rivers, China: East or South Asian summer monsoon? 期刊论文 HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2019, 页码: 12 作者:  Li, Fuxing;  Wang, Wei;  Yin, Yuanyuan;  Zhang, Shiyan 收藏  |  浏览/下载：5/0  |  提交时间：2020/05/19 Source Region of Three Rivers (SRTR)  summer precipitation  East Asian summer monsoon  South Asian summer monsoon  wavelet analysis tools   Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 22, 页码: 22 作者:  Zhu, Wanxue;  Sun, Zhigang;  Peng, Jinbang;  Huang, Yaohuan;  Li, Jing 收藏  |  浏览/下载：48/0  |  提交时间：2020/05/19 unmanned aerial vehicle  above-ground biomass  LiDAR  crop height  machine learning  multispectral data  SfM point clouds