Sentinel-2 data for land cover/use mapping: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture
The huge amount of data currently produced by modern Earth Observation (EO) missions
has allowed for the design of advanced machine learning techniques able to support …
has allowed for the design of advanced machine learning techniques able to support …
The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing …
Wetlands are one of the most important ecosystems that provide a desirable habitat for a
great variety of flora and fauna. Wetland mapping and modeling using Earth Observation …
great variety of flora and fauna. Wetland mapping and modeling using Earth Observation …
[HTML][HTML] Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa
B Slagter, NE Tsendbazar, A Vollrath… - International Journal of …, 2020 - Elsevier
Wetlands have been determined as one of the most valuable ecosystems on Earth and are
currently being lost at alarming rates. Large-scale monitoring of wetlands is of high …
currently being lost at alarming rates. Large-scale monitoring of wetlands is of high …
Integration of sentinel-1 and sentinel-2 for classification and LULC mapping in the urban area of Belém, eastern Brazilian Amazon
In tropical regions, such as in the Amazon, the use of optical sensors is limited by high cloud
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
Mapping paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data
Y Cai, H Lin, M Zhang - Advances in Space Research, 2019 - Elsevier
Rice is one of the world's major staple foods, especially in China. In this study, we proposed
an object-based random forest (RF) method for paddy rice mapping using time series …
an object-based random forest (RF) method for paddy rice mapping using time series …
[HTML][HTML] Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …
Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model
Y Bao, L Lin, S Wu, KAK Deng… - International journal of …, 2018 - Elsevier
In this study, is presented a new methodology for retrieving surface soil moisture (SSM)
under conditions of partial vegetation cover based on the synergy between Sentinel-1 …
under conditions of partial vegetation cover based on the synergy between Sentinel-1 …
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Wetland risk assessment is a global concern especially in developing countries like
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …
Bangladesh. The present study explored the spatiotemporal dynamics of wetlands …