A review of the application of optical and radar remote sensing data fusion to land use map** and monitoring
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …
efforts towards accurately determining land use and quantifying subtle changes in land use …
Remote sensing for monitoring tropical dryland forests: A review of current research, knowledge gaps and future directions for Southern Africa
Climate change, manifest via rising temperatures, extreme drought, and associated
anthropogenic activities, has a negative impact on the health and development of tropical …
anthropogenic activities, has a negative impact on the health and development of tropical …
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …
spatial resolution is invaluable for the management of dryland forest resources in areas at …
Characterizing the structural complexity of the Earth's forests with spaceborne lidar
Forest structural complexity is a key element of ecosystem functioning, impacting light
environments, nutrient cycling, biodiversity, and habitat quality. Addressing the need for a …
environments, nutrient cycling, biodiversity, and habitat quality. Addressing the need for a …
Synergistic use of radar Sentinel-1 and optical Sentinel-2 imagery for crop map**: A case study for Belgium
A timely inventory of agricultural areas and crop types is an essential requirement for
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
ensuring global food security and allowing early crop monitoring practices. Satellite remote …
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
Combining observations from multiple optical and synthetic aperture radar (SAR) satellites
can provide temporally dense and regular information at medium resolution scale …
can provide temporally dense and regular information at medium resolution scale …
Improved early crop type identification by joint use of high temporal resolution SAR and optical image time series
J Inglada, A Vincent, M Arias, C Marais-Sicre - Remote Sensing, 2016 - mdpi.com
High temporal and spatial resolution optical image time series have been proven efficient for
crop type map** at the end of the agricultural season. However, due to cloud cover and …
crop type map** at the end of the agricultural season. However, due to cloud cover and …
[HTML][HTML] Virtual constellations for global terrestrial monitoring
Free and open access to satellite imagery and value-added data products have
revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid …
revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid …
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover map** in a Mediterranean region
G De Luca, J MN Silva, S Di Fazio… - European Journal of …, 2022 - Taylor & Francis
This paper aims to develop a supervised classification integrating synthetic aperture radar
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
Combined Landsat and L-band SAR data improves land cover classification and change detection in dynamic tropical landscapes
Robust quantitative estimates of land use and land cover change are necessary to develop
policy solutions and interventions aimed towards sustainable land management. Here, we …
policy solutions and interventions aimed towards sustainable land management. Here, we …