Mapping CORINE land cover from Sentinel-1A SAR and SRTM digital elevation model data using random forests

H Balzter, B Cole, C Thiel, C Schmullius - Remote Sensing, 2015 - mdpi.com
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 …

Mapping megacity growth with multi-sensor data

P Griffiths, P Hostert, O Gruebner… - Remote sensing of …, 2010 - Elsevier
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 …

Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty

P Yu, AK Qin, DA Clausi - IEEE Transactions on Geoscience …, 2011 - ieeexplore.ieee.org
A region-based unsupervised segmentation and classification algorithm for polarimetric
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

G Li, D Lu, E Moran, L Dutra, M Batistella - ISPRS Journal of …, 2012 - Elsevier
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 …

Improving deforestation detection on tropical rainforests using sentinel-1 data and convolutional neural networks

M Ortega Adarme, J Doblas Prieto, R Queiroz Feitosa… - Remote Sensing, 2022 - mdpi.com
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 …

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 …

[PDF][PDF] Measurement and monitoring of the world's forests: A review and summary of remote sensing technical capability, 2009–2015

M Fagan, R DeFries - 2009 - media.rff.org
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 …

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 …

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 …

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 …