Land-use land-cover classification by machine learning classifiers for satellite observations—A review

S Talukdar, P Singha, S Mahato, S Pal, YA Liou… - Remote sensing, 2020 - mdpi.com
Rapid and uncontrolled population growth along with economic and industrial development,
especially in developing countries during the late twentieth and early twenty-first centuries …

[HTML][HTML] Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

RN Masolele, V De Sy, M Herold, D Marcos… - Remote Sensing of …, 2021 - Elsevier
Assessing land-use following deforestation is vital for reducing emissions from deforestation
and forest degradation. In this paper, for the first time, we assess the potential of spatial …

Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study

S Das, DP Angadi - GeoJournal, 2022 - Springer
Accurate information on the rate of land-use pattern changes and urban expansion is
essential for the sustainable development and management of natural resources. The rapid …

Change detection techniques for land cover change analysis using spatial datasets: A review

S Kumar, S Arya - Remote Sensing in Earth Systems Sciences, 2021 - Springer
The change detection (CD) methods explore the potential of remote sensing (RS) spatial
datasets in various land use/land cover (LU/LC) applications. These methods are used to …

Deforestación en la Amazonía peruana: Índices de cambios de cobertura y uso del suelo basado en SIG

NBR Briceño, EB Castillo… - Boletín de la …, 2019 - bage.age-geografia.es
Los bosques de la Amazonia peruana han experimentado importantes transformaciones
desde mediados del siglo pasado. Este trabajo evaluó los Cambios de Cobertura y Uso del …

Tree species classification in mixed deciduous forests using very high spatial resolution satellite imagery and machine learning methods

M Deur, M Gašparović, I Balenović - Remote Sensing, 2020 - mdpi.com
Spatially explicit information on tree species composition is important for both the forest
management and conservation sectors. In combination with machine learning algorithms …

Assessment of urban sprawl using landscape metrics and Shannon's entropy model approach in town level of Barrackpore sub-divisional region, India

S Das, DP Angadi - Modeling Earth Systems and Environment, 2021 - Springer
A city has expanded from the core to peripheral areas through the growth of urbanization
process and based on criteria, such as economic development, social, political forces as …

A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and …

B Feizizadeh, K Mohammadzade Alajujeh… - GIScience & Remote …, 2021 - Taylor & Francis
Recent improvements in the spatial, temporal, and spectral resolution of satellite images
necessitate (semi-) automated classification and information extraction approaches …

Combining deep learning and multi-source GIS methods to analyze urban and greening changes

M Francini, C Salvo, A Vitale - Sensors, 2023 - mdpi.com
Although many authors have observed a degradation in greening cover alongside an
increase in the built-up areas, resulting in a deterioration of the essential environmental …

Is Jakarta's new flood risk reduction strategy transformational?

M Garschagen, GAK Surtiari, M Harb - Sustainability, 2018 - mdpi.com
On a conceptual and normative level, the debate around transformation in the context of
disaster risk reduction and climate change adaptation has been rising sharply over the …