Results 51 to 60 of about 1,007 (163)

ANALISIS POLA DISTRIBUSI SPASIAL KETERKAITAN KEPADATAN PENDUDUK DAN KERAPATAN BANGUNAN MELALUI GOOGLE EARTH ENGINE MENGGUNAKAN METODE NORMALIZED DIFFERENCE BUILT-UP INDEX

open access: yes, 2023
Kota Bogor secara geografis terletak di tengah-tengah wilayah kabupaten bogor dan sangat dekat dengan ibu kota. Berdasarkan hasil Sensus Penduduk tahun 2020 jumlah penduduk Kota Bogor sebanyak 1.043.070 juta jiwa itu akan terus meningkat setiap tahunya ...
Noviansyah, Darwin   +2 more
core  

Impact of Urban Environmental Indices on Surface Temperature in Dhaka: A Policy‐Oriented Perspective

open access: yesClimate Resilience and Sustainability, Volume 5, Issue 1, June 2026.
ABSTRACT Dhaka's rapid urban expansion has intensified surface heating and degraded environmental quality. This study analyzes environmental indices from 2015 to 2025, revealing a strong positive relationship between built‐up growth and land surface temperature, and negative associations with vegetation and water presence.
Milon Bokshi   +2 more
wiley   +1 more source

Land cover and NDBI analysis to map built up area in Iskandar Malaysia

open access: yes, 2020
The growth of Iskandar Malaysia as a regional development corridor is inescapable large and rapid. The study area has been transformed from predominantly agricultural and forest land prior to 1990s into the second largest and third most urbanized area in
Hj. Mohd. Noor, Norzailawati   +3 more
core   +1 more source

A comparative study of impervious surface extraction using Sentinel-2 imagery

open access: yesEuropean Journal of Remote Sensing, 2020
The accuracy and efficiency of impervious surface extraction using different algorithms vary greatly, and algorithm applicability depends on the study area.
Junyi Chen   +5 more
doaj   +1 more source

An Explainable and Optimized Machine Learning Framework for Multisensor Remote Sensing‐Based Land Use and Land Cover Classification

open access: yesTransactions in GIS, Volume 30, Issue 3, May 2026.
ABSTRACT Land use and land cover (LULC) mapping supports environmental monitoring and spatial planning, but classification performance often suffers in feature spaces that combine multiple data sources with redundant predictors. This study compares five feature selection methods (mRMR, ReliefF, Boruta, RFE, HSIC‐Lasso) with three tree‐based classifiers
Halil İbrahim Gündüz   +3 more
wiley   +1 more source

Urban engineering insights: Spatiotemporal analysis of land surface temperature and land use in urban landscape

open access: yesAlexandria Engineering Journal
In the field of urban environment engineering, understanding the relationship between land surface temperature (LST) and land use land cover (LULC) is essential in rapidly growing and climatically unstable urban landscapes such as Chengdu.
Bo Shu   +4 more
doaj   +1 more source

Land use land cover change and land surface emissivity in Ibadan, Nigeria

open access: yesTown and Regional Planning, 2020
There are many drivers of climate change. The urbanization process has been adjudged to be one of the major factors influencing spatial variation in land use and land cover change (LULC), land surface temperature (LST), land surface emissivity (LSE ...
Oluwasinaayomi Kasim   +2 more
doaj   +1 more source

Mapping mosquito larval densities and assessing area vulnerable to diseases transmission in Nile valley of Giza, Egypt

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2022
Diversity and abundance of mosquito larvae have significant impact on the dynamics of disease transmission. In the present study, remote sensing (RS) technology integrated with field survey and spatial analyses were utilized to map mosquito breeding ...
Alaa Nagy   +4 more
doaj   +1 more source

An STP-HSI index method for urban built-up area extraction based on multi-source remote sensing data

open access: yes, 2022
A change in an urban built-up area can reflect the process of urbanization and the development of a city. At present, multi-source remote sensing data extraction of built-up areas based on the human settlement index (HSI) has achieved relatively good ...
Tu, Liying   +11 more
core   +1 more source

Heat Stress Prediction in Glasgow: Integration of Historical Data With Machine Learning Models

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Urban heat stress is intensifying because of climate change, particularly in densely constructed areas where urban morphology significantly affects thermal conditions. This research examines how vegetation and built form influence heat stress in Glasgow by integrating historical geospatial data, Artificial Neural Network (ANN)‐based ...
Newsha Modjrian   +2 more
wiley   +1 more source

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