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 …
Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal
The provision of ecosystem services is directly related to the type of land use and land cover
and management practices in a given area. Changes in land use and land cover can alter …
and management practices in a given area. Changes in land use and land cover can alter …
Land use/land cover dynamics and modeling of urban land expansion by the integration of cellular automata and markov chain
This study explored the past and present land-use/land-cover (LULC) changes and urban
expansion pattern for the cities of the Kathmandu valley and their surroundings using …
expansion pattern for the cities of the Kathmandu valley and their surroundings using …
Map** pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
This study analyzed, for the first time, the potential of combining the large European-wide
land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for map** …
land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for map** …
Evaluation of different machine learning algorithms for scalable classification of tree types and tree species based on Sentinel-2 data
We use freely available Sentinel-2 data and forest inventory data to evaluate the potential of
different machine-learning approaches to classify tree species in two forest regions in …
different machine-learning approaches to classify tree species in two forest regions in …
Forest type identification with random forest using Sentinel-1A, Sentinel-2A, multi-temporal Landsat-8 and DEM data
Carbon sink estimation and ecological assessment of forests require accurate forest type
map**. The traditional survey method is time consuming and labor intensive, and the …
map**. The traditional survey method is time consuming and labor intensive, and the …
[HTML][HTML] Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
M Liu, B Fu, S ** using multitemporal Sentinel-2 imagery and four classification methods—A case study from Dak Nong, Vietnam
HTT Nguyen, TM Doan, E Tomppo, RE McRoberts - Remote Sensing, 2020 - mdpi.com
Information on land use and land cover (LULC) including forest cover is important for the
development of strategies for land planning and management. Satellite remotely sensed …
development of strategies for land planning and management. Satellite remotely sensed …
Detailed and automated classification of land use/land cover using machine learning algorithms in Google Earth Engine
X Pan, Z Wang, Y Gao, X Dang, Y Han - Geocarto International, 2022 - Taylor & Francis
All the supervised classification methods need sufficient and efficient samples, which are
commonly labeled by visual inspection. In this study, to resolve the issues of insufficient …
commonly labeled by visual inspection. In this study, to resolve the issues of insufficient …