Land-use land-cover classification by machine learning classifiers for satellite observations—A review
Rapid and uncontrolled population growth along with economic and industrial development,
especially in developing countries during the late twentieth and early twenty-first centuries …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
necessitate (semi-) automated classification and information extraction approaches …
Combining deep learning and multi-source GIS methods to analyze urban and greening changes
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 …
increase in the built-up areas, resulting in a deterioration of the essential environmental …
Is Jakarta's new flood risk reduction strategy transformational?
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 …
disaster risk reduction and climate change adaptation has been rising sharply over the …