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2018年11月21日,国家重点研发计划项目“地理大数据挖掘与时空模式发现”年度总结会议在中国科学院地理科学与资源研究所召开。与会专家包括中国科学院地理科学与资源研究所、中国科学院院士周成虎,中国科学院遥感与数字地球研究所张兵研究员、国家卫星气象中心卢乃锰研究员、国家地理空间信息中心李浩川研究员。项目负责人、中科院地理科学与资源研究所裴韬研究员,课题负责人:武汉大学刘耀林教授、北京大学刘瑜教授、中...
气候变化和人类活动影响下的土地退化是一项十分严峻的全球性环境问题。定量分析土地退化及其恢复情况,对于可持续的生态系统管理和社会经济发展决策至关重要。中国干旱-半干旱区,面积约为456万平方公里,占我国陆地面积的47%,年降水量在400 mm以下,区域生态系统十分脆弱,是中国乃至全球土地退化的重要分布区,也是我国一系列生态工程的重点实施区域。然而,该区土地退化与恢复情况的研究仍不够全面,尤其缺乏定量...
LANDSCAPE VULNERABILITY ASSESSMENT USING REMOTE SENSING AND GIS TOOLS IN THE INDIAN PART OF KAILASH SACRED LANDSCAPE
KSL AHP Vulnerability Fire Flood Landslide
2019/2/27
The Indian part of Kailash Sacred Landscape (KSL) is prone to flash floods, landslides and forest fires leading to various environmental and socio-economic problems. This study aims to identify areas ...
A COMPARATIVE ANALYSIS OF DROUGHT INDICES ON VEGETATION THROUGH REMOTE SENSING FOR LATUR REGION OF INDIA
Agriculture drought Vegetation Condition Index (VCI) Temperature Condition Index (TCI) Vegetation Health Index (VHI) drought assessment
2019/2/27
Drought intensifies stress on the water resource which is already in a critical condition due to rapid urbanization and population growth thus, affecting people, economy, and environment. The drought ...
ESTIMATION OF INSTANTANEOUS EVAPOTRANSPIRATION USING REMOTE SENSING BASED ENERGY BALANCE TECHNIQUE OVER PARTS OF NORTH INDIA
Evapotranspiration Energy Balance Approach Remote Sensing Sensible heat flux
2019/2/27
Evapotranspiration (ET) is an essential element of the hydrological cycle and plays a significant role in regional and global climate through the hydrological circulation. Estimation and monitoring of...
ASSESSING THE IMPACT OF CANAL NETWORK ON SURFACE WATERLOGGING USING REMOTE SENSING DATASETS IN ROHTAK DISTRICT, HARYANA
Waterlogging Canals Remote Sensing GIS Rohtak
2019/2/27
Remote Sensing is a very reliable and expeditious technique for assessment and mapping of surface waterlogged areas. In this study band ratio based NDWI index (Normalized Difference Water Index) was u...
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
HIGH-RESOLUTION ENHANCED PRODUCT BASED ON SMAP ACTIVE-PASSIVE APPROACH USING SENTINEL 1A AND 1B SAR DATA
soil moisture microwave remote sensing active-passive algorithm SMAP Sentinel-1A -1B
2019/2/27
SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product. This product is obtained by combining the SMAP radiometer data and the Sentinel-1A and -1B Synthetic Ap...
A MULTI THREADED FEATURE EXTRACTION TOOL FOR SAR IMAGES USING OPEN SOURCE SOFTWARE LIBRARIES
software architecture feature extraction SAR images remote sensing applications algorithms of high complexity multi-threaded platform
2019/2/27
In this paper, we propose a software architecture for a feature extraction tool which is suitable for automatic extraction of sparse features from large remote sensing data capable of using higher ord...
中山大学2018年硕士研究生入学考试自命题遥感与地理信息系统考试试题。
中国科学院大学2019年硕士研究生入学考试遥感概论考试大纲。
近日,中国科学院空天信息研究院遥感卫星应用国家工程实验室石玉胜研究组关于遥感反演大气污染物的环境健康影响研究取得进展。相关研究成果《Underlying causes of PM2.5-induced premature mortality and potential health benefits of air pollution control in South and Southeast A...