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 …

Application of the random forest classifier to map irrigated areas using google earth engine

J Magidi, L Nhamo, S Mpandeli, T Mabhaudhi - Remote Sensing, 2021 - mdpi.com
Improvements in irrigated areas' classification accuracy are critical to enhance agricultural
water management and inform policy and decision-making on irrigation expansion and land …

[HTML][HTML] Satellite remote sensing of savannas: Current status and emerging opportunities

AM Abdi, M Brandt, C Abel, R Fensholt - Journal of Remote Sensing, 2022 - spj.science.org
Savannas cover a wide climatic gradient across large portions of the Earth's land surface
and are an important component of the terrestrial biosphere. Savannas have been …

Comparison of support vector machines and random forests for corine land cover mapping

A Dabija, M Kluczek, B Zagajewski, E Raczko… - Remote Sensing, 2021 - mdpi.com
Land cover information is essential in European Union spatial management, particularly that
of invasive species, natural habitats, urbanization, and deforestation; therefore, the need for …

[HTML][HTML] Quantitative assessment of Land use/land cover changes in a developing region using machine learning algorithms: A case study in the Kurdistan Region …

A Rash, Y Mustafa, R Hamad - Heliyon, 2023 - cell.com
The identification of land use/land cover (LULC) changes is important for monitoring,
evaluating, and preserving natural resources. In the Kurdistan region, the utilization of …

A novel fuzzy Harris hawks optimization-based supervised vegetation and bare soil prediction system for Javadi Hills, India

SN MohanRajan, A Loganathan - Arabian Journal of Geosciences, 2023 - Springer
For several decades, researchers throughout the world have been motivated and
contributed to the research on land use/land cover (LU/LC) change prediction analysis. This …

Effects of auxiliary and ancillary data on LULC classification in a heterogeneous environment using optimized random forest algorithm

T Kavzoglu, F Bilucan - Earth Science Informatics, 2023 - Springer
Land use and land cover (LULC) maps, providing crucial information for monitoring the
Earth's surface, are one of the most essential products for numerous studies. Using only the …

Multiplicative long short-term memory with improved mayfly optimization for LULC classification

A Stateczny, SM Bolugallu, PB Divakarachari… - Remote Sensing, 2022 - mdpi.com
Land Use and Land Cover (LULC) monitoring is crucial for global transformation,
sustainable land control, urban planning, urban growth prediction, and the establishment of …

Machine learning classifier evaluation for different input combinations: a case study with Landsat 9 and Sentinel-2 data

PA Palanisamy, K Jain, S Bonafoni - Remote Sensing, 2023 - mdpi.com
High-resolution multispectral remote sensing images offer valuable information about
various land features, providing essential details and spatially accurate representations. In …

Directions of land degradation in the greater Istanbul metropolitan area: A view from four decades

S Bayraktar, K Cegielska, ED Sökmen… - Land Degradation & …, 2024 - Wiley Online Library
In an era of dynamic urbanization, especially in densely populated regions such as the
Greater Istanbul Metropolitan Area, land degradation (LD) is a widespread and multifaceted …