Mapping CORINE land cover from Sentinel-1A SAR and SRTM digital elevation model data using random forests
The European CORINE land cover mapping scheme is a standardized classification system
with 44 land cover and land use classes. It is used by the European Environment Agency to …
with 44 land cover and land use classes. It is used by the European Environment Agency to …
Mapping megacity growth with multi-sensor data
In our increasingly urbanized world, monitoring and mapping of urban growth and thereby
induced land-use and land-cover change (LULCC) is of emergent importance. Remote …
induced land-use and land-cover change (LULCC) is of emergent importance. Remote …
Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty
A region-based unsupervised segmentation and classification algorithm for polarimetric
synthetic aperture radar (SAR) imagery that incorporates region growing and a Markov …
synthetic aperture radar (SAR) imagery that incorporates region growing and a Markov …
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region
This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band
(Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for …
(Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for …
Improving deforestation detection on tropical rainforests using sentinel-1 data and convolutional neural networks
Detecting early deforestation is a fundamental process in reducing forest degradation and
carbon emissions. With this procedure, it is possible to monitor and control illegal activities …
carbon emissions. With this procedure, it is possible to monitor and control illegal activities …
Wide-area land cover mapping with Sentinel-1 imagery using deep learning semantic segmentation models
S Šćepanović, O Antropov, P Laurila… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Land cover (LC) mapping is essential for monitoring the environment and understanding the
effects of human activities on it. Recent studies demonstrated successful applications of …
effects of human activities on it. Recent studies demonstrated successful applications of …
[PDF][PDF] Measurement and monitoring of the world's forests: A review and summary of remote sensing technical capability, 2009–2015
This report is part of a series of studies carried out under an initiative at Resources for the
Future (RFF) to consider the economic, technical, and institutional issues associated with the …
Future (RFF) to consider the economic, technical, and institutional issues associated with the …
Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm
L Loosvelt, J Peters, H Skriver… - … on Geoscience and …, 2012 - ieeexplore.ieee.org
Although the use of multidate polarimetric synthetic aperture radar (SAR) data for highly
accurate land cover classification has been acknowledged in the literature, the high …
accurate land cover classification has been acknowledged in the literature, the high …
Image segmentation and region classification in automotive high-resolution radar imagery
Y Xiao, L Daniel, M Gashinova - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Image segmentation and classification of surfaces and obstacles in automotive radar
imagery are the key technologies to provide valuable information for path planning in …
imagery are the key technologies to provide valuable information for path planning in …
Multi-feature classification of multi-sensor satellite imagery based on dual-polarimetric sentinel-1A, landsat-8 OLI, and hyperion images for urban land-cover …
T Zhou, Z Li, J Pan - Sensors, 2018 - mdpi.com
This paper focuses on evaluating the ability and contribution of using backscatter intensity,
texture, coherence, and color features extracted from Sentinel-1A data for urban land cover …
texture, coherence, and color features extracted from Sentinel-1A data for urban land cover …