Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping 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) …
Earth observation data cubes for Brazil: Requirements, methodology and products
Recently, remote sensing image time series analysis has being widely used to investigate
the dynamics of environments over time. Many studies have combined image time series …
the dynamics of environments over time. Many studies have combined image time series …
GEDI elevation accuracy assessment: a case study of southwest Spain
Information about forest structures is becoming crucial to earth's global carbon cycle, forest
habitats, and biodiversity. The Global Ecosystem Dynamics Investigation (GEDI) provides 25 …
habitats, and biodiversity. The Global Ecosystem Dynamics Investigation (GEDI) provides 25 …
Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Tropical montane forests (TMF) play a vital role in providing numerous ecosystem services.
This ecosystem is characterized by towering mountains, cold weather, tall trees such as …
This ecosystem is characterized by towering mountains, cold weather, tall trees such as …
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 …
Integrating SAR, optical, and machine learning for enhanced coastal mangrove monitoring in Guyana
K Chan-Bagot, KE Herndon, A Puzzi Nicolau… - Remote Sensing, 2024 - mdpi.com
Mangrove forests are a biodiverse ecosystem known for a wide variety of crucial ecological
services, including carbon sequestration, coastal erosion control, and prevention of …
services, including carbon sequestration, coastal erosion control, and prevention of …
Mapping native and non-native vegetation in the Brazilian Cerrado using freely available satellite products
K Lewis, F de V. Barros, MB Cure, CA Davies… - Scientific reports, 2022 - nature.com
Native vegetation across the Brazilian Cerrado is highly heterogeneous and biodiverse and
provides important ecosystem services, including carbon and water balance regulation …
provides important ecosystem services, including carbon and water balance regulation …
Tracking the temporal dynamics of insect defoliation by high‐resolution radar satellite data
Quantifying tree defoliation by insects over large areas is a major challenge in forest
management, but it is essential in ecosystem assessments of disturbance and resistance …
management, but it is essential in ecosystem assessments of disturbance and resistance …
[HTML][HTML] Characterizing time-series roving artisanal and small-scale gold mining activities in Indonesia using sentinel-1 data
S Kimijima, M Sakakibara, M Nagai - International journal of …, 2022 - mdpi.com
The rapid growth of roving mining camps has negatively influenced their surrounding
environment. Although artisanal and small-scale gold mining (ASGM) is a major source of …
environment. Although artisanal and small-scale gold mining (ASGM) is a major source of …
TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series
Satellite image time series (SITS), such as Sentinel-2 imagery, plays a crucial role in the
delineation of agricultural fields by reducing the impacts of ambiguities due to the spatial …
delineation of agricultural fields by reducing the impacts of ambiguities due to the spatial …