Results 31 to 40 of about 643,688 (353)
A Possibility-Based Method for Urban Land Cover Classification Using Airborne Lidar Data
Remote Sensing, 2022 Airborne light detection and ranging (LiDAR) has been recognized as a reliable and accurate measurement tool in forest volume estimation, urban scene reconstruction and land cover classification, where LiDAR data provide crucial and efficient features ...
Danjing Zhao +3 more
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Remote Sensing, 2021 The Qilian Mountains (QLM) are an important ecological barrier in western China. High-precision land cover data products are the basic data for accurately detecting and evaluating the ecological service functions of the QLM.
Yanpeng Yang +4 more
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Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning
Remote Sensing, 2019 Land cover classification data have a very important practical application value, and long time series land cover classification datasets are of great significance studying environmental changes, urban changes, land resource surveys, hydrology and ...
Haoyu Wang +4 more
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DETERMINATION OF LAND COVER/LAND USE USING SPOT 7 DATA WITH SUPERVISED CLASSIFICATION METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Land use/ land cover (LULC) classification is a key research field in remote sensing. With recent developments of high-spatial-resolution sensors, Earth-observation technology offers a viable solution for land use/land cover identification and management
F. Bektas Balcik, A. Karakacan Kuzucu
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Deep Learning for Land Cover Classification Using Only a Few Bands
Remote Sensing, 2020 There is an emerging interest in using hyperspectral data for land cover classification. The motivation behind using hyperspectral data is the notion that increasing the number of narrowband spectral channels would provide richer spectral information and
Chiman Kwan +7 more
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ADVANCED CLASSIFICATION OF OPTICAL AND SAR IMAGES FOR URBAN LAND COVER MAPPING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The aim of this research is to classify urban land cover types using an advanced classification method. As the input bands to the classification, the features derived from Landsat 8 and Sentinel 1A SAR data sets are used.
D. Amarsaikhan
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Remote Sensing, 2016 Satellite based land cover classification for Africa’s semi-arid ecosystems is hampered commonly by heterogeneous landscapes with mixed vegetation and small scale land use.
Johannes Eberenz +5 more
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SENTINEL-1 IMAGE CLASSIFICATION FOR CITY EXTRACTION BASED ON THE SUPPORT VECTOR MACHINE AND RANDOM FOREST ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Environmental change monitoring in earth sciences needs land use land cover change (LULCC) modeling to investigate the impact of climate change phenomena such as droughts and floods on earth surface land cover.
A. Jamali, A. Abdul Rahman
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GeomaticsLand cover maps are frequently produced via the classification of satellite imagery. There is a need for a practicable and automated approach for the generalization of these land cover classification results into scalable, digital maps while minimizing ...
Geir-Harald Strand +4 more
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Land Cover Classification and Monitoring: the STEM Open Source Solution
European Journal of Remote Sensing, 2015 Agricultural and forest monitoring is a valued instrument needed by public authorities (PA) for determining land uses, planning natural resources management and collecting taxes. Remote Sensing (RS) can provide accurate information over large areas and it has been already widely used for these tasks. Orthophotos and LiDAR data are regularly acquired to
Nex, F. +5 more
openaire +3 more sources