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 …

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 mapping 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 …

LCZ Generator: a web application to create Local Climate Zone maps

M Demuzere, J Kittner, B Bechtel - Frontiers in Environmental Science, 2021 - frontiersin.org
Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …

Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery

RM David, NJ Rosser, DNM Donoghue - Remote Sensing of Environment, 2022 - Elsevier
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …

Forest stand species mapping using the Sentinel-2 time series

E Grabska, P Hostert, D Pflugmacher, K Ostapowicz - Remote Sensing, 2019 - mdpi.com
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …

Impacts of climate variability and drought on surface water resources in Sub-Saharan Africa using remote sensing: A review

TD Bhaga, T Dube, MD Shekede, C Shoko - Remote Sensing, 2020 - mdpi.com
Climate variability and recurrent droughts have caused remarkable strain on water
resources in most regions across the globe, with the arid and semi-arid areas being the …

[HTML][HTML] Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

H Astola, T Häme, L Sirro, M Molinier, J Kilpi - Remote Sensing of …, 2019 - Elsevier
We compared the performance of Sentinel-2 and Landsat 8 data for forest variable
prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to …

Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in …

D Cho, C Yoo, J Im, DH Cha - Earth and Space Science, 2020 - Wiley Online Library
Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …