Sentinel-2 data for land cover/use map**: 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 map**: 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 …

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

AM Abdi - GIScience & Remote Sensing, 2020 - Taylor & Francis
In recent years, the data science and remote sensing communities have started to align due
to user-friendly programming tools, access to high-end consumer computing power, and the …

Land use and land cover map** using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods

V Nasiri, A Deljouei, F Moradi, SMM Sadeghi, SA Borz - Remote Sensing, 2022 - mdpi.com
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 …

Temporal convolutional neural network for the classification of satellite image time series

C Pelletier, GI Webb, F Petitjean - Remote Sensing, 2019 - mdpi.com
Latest remote sensing sensors are capable of acquiring high spatial and spectral Satellite
Image Time Series (SITS) of the world. These image series are a key component of …

[HTML][HTML] Sentinel-2 cropland map** using pixel-based and object-based time-weighted dynamic time war** analysis

M Belgiu, O Csillik - Remote sensing of environment, 2018 - Elsevier
Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

Understanding deep learning in land use classification based on Sentinel-2 time series

M Campos-Taberner, FJ García-Haro, B Martínez… - Scientific reports, 2020 - nature.com
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is
rapidly increasing. DL techniques have provided excellent results in applications ranging …

[HTML][HTML] From parcel to continental scale–A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

R d'Andrimont, A Verhegghen, G Lemoine… - Remote sensing of …, 2021 - Elsevier
Detailed parcel-level crop type map** for the whole European Union (EU) is necessary for
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …

[HTML][HTML] Soil organic carbon and texture retrieving and map** using proximal, airborne and Sentinel-2 spectral imaging

A Gholizadeh, D Žižala, M Saberioon… - Remote Sensing of …, 2018 - Elsevier
Abstract Soil Organic Carbon (SOC) is a useful representative of soil fertility and an essential
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …

Water bodies' map** from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band

Y Du, Y Zhang, F Ling, Q Wang, W Li, X Li - Remote Sensing, 2016 - mdpi.com
Monitoring open water bodies accurately is an important and basic application in remote
sensing. Various water body map** approaches have been developed to extract water …