[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
A review on spectral indices for built-up area extraction using remote sensing technology
R Kaur, P Pandey - Arabian Journal of Geosciences, 2022 - Springer
The rapidly occurring urbanization is associated with urban land use change dynamics. The
conversion of natural land surfaces to artificial impervious built-up surfaces in urban clusters …
conversion of natural land surfaces to artificial impervious built-up surfaces in urban clusters …
The shadow effect on surface biophysical variables derived from remote sensing: a review
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
Urban expansion in Ethiopia from 1987 to 2017: Characteristics, spatial patterns, and driving forces
Rapid urban growth in major cities of a country poses challenges for sustainable
development. Particularly in Africa, the process of rapid urbanization is little understood and …
development. Particularly in Africa, the process of rapid urbanization is little understood and …
[HTML][HTML] Evaluation of spectral built-up indices for impervious surface extraction using Sentinel-2A MSI imageries: A case of Addis Ababa city, Ethiopia
TA Kebede, BT Hailu, KV Suryabhagavan - Environmental Challenges, 2022 - Elsevier
Impervious surface extraction with high accuracy is important for monitoring urban
expansion to sustainably manage the land resources and save the environment. In this …
expansion to sustainably manage the land resources and save the environment. In this …
[HTML][HTML] ASI: An artificial surface Index for Landsat 8 imagery
Remotely sensing the spatial extent of artificial surfaces is essential for understanding
human footprints and evaluating anthropogenic impacts on the global environment and …
human footprints and evaluating anthropogenic impacts on the global environment and …
A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
R Bouhennache, T Bouden, A Taleb-Ahmed… - Geocarto …, 2019 - Taylor & Francis
Extracting built-up areas from remote sensing data like Landsat 8 satellite is a challenge. We
have investigated it by proposing a new index referred as built-up land features extraction …
have investigated it by proposing a new index referred as built-up land features extraction …
The acquisition of impervious surface area from LANDSAT 8 satellite sensor data using urban indices: a comparative analysis
Rapid and irregular urbanization is an essential issue in terms of environmental assessment
and management. The dynamics of landscape patterns should be observed and analyzed …
and management. The dynamics of landscape patterns should be observed and analyzed …
Landsat images classification algorithm (LICA) to automatically extract land cover information in Google Earth Engine environment
Remote sensing has been recognized as the main technique to extract land cover/land use
(LC/LU) data, required to address many environmental issues. Therefore, over the years …
(LC/LU) data, required to address many environmental issues. Therefore, over the years …
[HTML][HTML] Detection of historical landscape changes in Lake Victoria Basin, Kenya, using remote sensing multi-spectral indices
DO Onyango, SB Opiyo - Watershed Ecology and the Environment, 2022 - Elsevier
Abstract The Kenyan Lake Victoria basin has been experiencing land degradation and
overexploitation as seen in various landscape changes. Quantifying and understanding the …
overexploitation as seen in various landscape changes. Quantifying and understanding the …