Sentinel-2 data for land cover/use map**: 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 …
Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover map**: A systematic review
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
Land use and land cover map** using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …
information for dynamic monitoring, planning, and management of the Earth. With the advent …
Machine learning classification of mediterranean forest habitats in google earth engine based on seasonal sentinel-2 time-series and input image composition …
The sustainable management of natural heritage is presently considered a global strategic
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …
Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover map** 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 …
Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in northern china
Garlic and winter wheat are major economic and grain crops in China, and their boundaries
have increased substantially in recent decades. Updated and accurate garlic and winter …
have increased substantially in recent decades. Updated and accurate garlic and winter …
Towards automation of in-season crop type map** using spatiotemporal crop information and remote sensing data
CONTEXT Map** crop types from satellite images is a promising application in
agricultural systems. However, it is a challenge to automate in-season crop type map** …
agricultural systems. However, it is a challenge to automate in-season crop type map** …
Self-supervised SAR-optical data fusion of Sentinel-1/-2 images
The effective combination of the complementary information provided by huge amount of
unlabeled multisensor data (eg, synthetic aperture radar (SAR) and optical images) is a …
unlabeled multisensor data (eg, synthetic aperture radar (SAR) and optical images) is a …
Multi-modal temporal attention models for crop map** from satellite time series
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …
information, while C-band radar captures useful geometrical information and is immune to …
Remote sensing-based estimation of rice yields using various models: A critical review
DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …
management. Field-scale models have increased our understanding of rice yield and its …