Sentinel-2 data for land cover/use mapping: A review

D Phiri, M Simwanda, S Salekin, VR Nyirenda… - Remote Sensing, 2020 - mdpi.com
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 …

Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review

M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
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 …

Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal

B Rimal, R Sharma, R Kunwar, H Keshtkar, NE Stork… - Ecosystem …, 2019 - Elsevier
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 …

Land use/land cover dynamics and modeling of urban land expansion by the integration of cellular automata and markov chain

B Rimal, L Zhang, H Keshtkar, BN Haack… - … International Journal of …, 2018 - mdpi.com
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 …

Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey

D Pflugmacher, A Rabe, M Peters, P Hostert - Remote sensing of …, 2019 - Elsevier
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 mapping …

Evaluation of different machine learning algorithms for scalable classification of tree types and tree species based on Sentinel-2 data

M Wessel, M Brandmeier, D Tiede - Remote Sensing, 2018 - mdpi.com
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 …

Forest type identification with random forest using Sentinel-1A, Sentinel-2A, multi-temporal Landsat-8 and DEM data

Y Liu, W Gong, X Hu, J Gong - Remote Sensing, 2018 - mdpi.com
Carbon sink estimation and ecological assessment of forests require accurate forest type
mapping. 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 Xie, H He, F Lan, Y Li, P Lou, D Fan - Ecological Indicators, 2021 - Elsevier
The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …

Land Use/land cover mapping 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 …

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 …