[HTML][HTML] Analysis of the spatiotemporal urban expansion of the Rome coastline through GEE and RF algorithm, using Landsat imagery

F Lodato, N Colonna, G Pennazza, S Praticò… - … International Journal of …, 2023 - mdpi.com
This study analyzes, through remote sensing techniques and innovative clouding services,
the recent land use dynamics in the North-Roman littoral zone, an area where the latest …

Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data

KG Alrasheedi, A Dewan, A El-Mowafy - Earth Systems and Environment, 2024 - Springer
The classification of informal settlements using very high-resolution (VHR) satellite data and
expert knowledge has proven very useful for urban planning. The objective of this work was …

Slums evolution and sustainable urban growth: A comparative study of Makoko and Badia-east areas in Lagos City

KM Gilbert, Y Shi - Sustainability, 2023 - mdpi.com
This research addresses the evolution of slums in two specific areas of Lagos City, a
consequence of rapid urbanization in developing economies. The study aims to analyze the …

Mapping slums in Mumbai, India, using Sentinel-2 imagery: evaluating composite slum spectral indices (CSSIs)

F Peng, W Lu, Y Hu, L Jiang - Remote Sensing, 2023 - mdpi.com
Accurate geographic data of slums are important for handling urban poverty issues.
Previous slum mapping studies using high-resolution or very-high-resolution (HR/VHR) …

Object-based informal settlement mapping in Google earth engine using the integration of Sentinel-1, Sentinel-2, and PlanetScope satellite data

D Matarira, O Mutanga, M Naidu, M Vizzari - Land, 2022 - mdpi.com
Mapping informal settlements' diverse morphological patterns remains intricate due to the
unavailability and huge costs of high-resolution data, as well as the spatial heterogeneity of …

Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis

C Matyukira, P Mhangara - Remote Sensing, 2023 - mdpi.com
Land use and land cover change constitute a significant driver of land degradation
worldwide, and machine-learning algorithms are providing new opportunities for effectively …

A Google Earth Engine-Based Framework to Identify Patterns and Drivers of Mariculture Dynamics in an Intensive Aquaculture Bay in China

P Wang, J Wang, X Liu, J Huang - Remote Sensing, 2023 - mdpi.com
Although mariculture contributes significantly to regional/local economic development, it
also promotes environmental degradation. Therefore, it is essential to understand …

Assessing the impact of unplanned settlements on urban renewal projects with GEE

O Yılmaz, M Alkan - Habitat International, 2024 - Elsevier
Spatial plans and strategies ensure that urbanization takes place according to
predetermined scientific and technical criteria. Urbanization that takes place without taking …

Development of a new index for mapping urban areas in Türkiye using Sentinel-2 images

DK Matci - Advances in Space Research, 2023 - Elsevier
Population growth and urbanization have been increasing simultaneously and rapidly in
recent years. Urban growth causes changes in land use/cover. Monitoring and mapping …

Using cloud computing techniques to map the geographic extent of informal settlements in the greater Cape Town Metropolitan Area

S Gxokwe, T Dube - Remote Sensing Applications: Society and …, 2024 - Elsevier
Although remote sensing approaches offer unprecedented opportunities to understand
urban land cover dynamics including informal settlements areal extent, challenges such as …