搜索结果: 1-15 共查到“知识库 遥感地质学”相关记录172条 . 查询时间(1.39 秒)
地球信息教学研究所隶属于地球科学与资源学院地质系，为专门服务于地球信息科学与技术专业方向的教学、科研机构。研究所现有专职教师5人，其中教授1人，副教授2人，讲师2人，具有博士学位的5人。中国地质学会“银锤奖”1人，“陕西科技新星”1人，博士生导师1人，硕士生导师3人。形成了一支年轻化、研究方向多样且互补的师资队伍。
热红外遥感在研究地气相互作用方面有独特优势，但因受云的影响无法获得时空连续信息。近年来，可见光与微波遥感已被成功应用于计算全球地表蒸发，但是热红外还未被应用于估算全球蒸发。如何获得时空连续的地气间水分交换信息，是当前热红外遥感研究地气相互作用过程时遇到的“卡脖子”问题。国际上有观点认为基于能量平衡的热红外方法无法准确得到地表的蒸发，主要原因是蒸散发的估算对地气相互作用的水热传输阻力较敏感，并且受云...
光盖山-迭山南麓断裂是东昆仑断裂向西秦岭北缘断裂应变转换的主干断裂之一，受森林覆盖、自然和人为改造、交通不便等多因素的影响，光盖山-迭山南麓断裂的几何特征一直不明确。文中收集多种类型、分辨率、时相的遥感图像并在Envi5.2平台下进行增强处理，然后对光盖山-迭山南麓断裂进行目视解译，在此基础上对重点段进行野外考察，通过一系列断错地貌和断层剖面等地质地貌现象验证解译结果，最后得到光盖山-迭山南麓断裂...
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...
RELATIVE ERROR EVALUATION TO TYPICAL OPEN GLOBAL DEM DATASETS IN SHANXI PLATEAU OF CHINA
Relative error false slope ratio typical open global DEM datasets ICESat/GLA14 data Shanxi Plateau
2018/5/16
Produced by radar data or stereo remote sensing image pairs, global DEM datasets are one of the most important types for DEM data. Relative error relates to surface quality created by DEM data, so it ...
ALEXNET FEATURE EXTRACTION AND MULTI-KERNEL LEARNING FOR OBJECTORIENTED CLASSIFICATION
AlexNet GLCM texture Multi-kernel learning Object-oriented classification feature extraction SVM
2018/5/11
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
GRASSLAND NPP MONITORING BASED ON MULTI-SOURCE REMOTE SENSING DATA FUSION
Multi-source remote sensing Data fusion Net primary productivity Carnegie-Ames-Stanford Approach model
2018/5/11
Vegetation is an important part of the terrestrial ecosystem. It plays an important role in the energy and material exchange of the ground-atmosphere system and is a key part of the global carbon cycl...
CONTINUOUS CHANGE DETECTION OF URBAN LAKES IN WUHAN, CHINA USING MULTI-TEMPORAL REMOTE SENSING IMAGES
Change Detection Urban Lakes Multi-temporal Remote Sensing Images Modified NDWI Wuhan City
2018/5/16
Urban lakes are important natural, scenic and pattern attractions of the city, and they are potential development resources as well. However, lots of urban lakes in China have been shrunk significantl...
PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLICATIONS
validation procedures data quality dimensions remote sensing lifecycle quality criteria disaster management standardisation ISO 19000
2018/5/11
The availability and accessibility of remote sensing (RS) data, cloud processing platforms and provided information products and services has increased the size and diversity of the RS user community....