Characterising landcover changes and urban sprawl using geospatial techniques and landscape metrics in Bulawayo, Zimbabwe (1984–2022)

SM Sithole, W Musakwa, J Magidi, AY Kibangou - Heliyon, 2024 - cell.com
Urbanisation is a global trend that significantly impacts sustainable urban development and
the quality of urban life. Assessing urban sprawl is critical for sustainable urban planning …

Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data

K Hussain, K Mehmood, SA Anees, Z Ding… - Heliyon, 2024 - cell.com
The increasing pressures of urban development and agricultural expansion have significant
implications for land use and land cover (LULC) dynamics, particularly in ecologically …

Land use and land cover change detection using the random forest approach: The case of the Upper Blue Nile River basin, Ethiopia

BG Tikuye, M Rusnak, BR Manjunatha… - Global …, 2023 - Wiley Online Library
Monitoring land use change dynamics is critical for tackling food security, climate change,
and biodiversity loss on a global scale. This study is designed to classify land use and land …

[HTML][HTML] Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco …

B Mandal - Results in Engineering, 2024 - Elsevier
This present study aims to evaluate land use and land cover changes using five machine-
learning algorithms in Google Earth Engine. The performance of these machine learning …

Earth observation technology's alignment with ohchr indicators for strengthening human rights breach investigations and adjudication

S Rapach, A Riccardi, R Wheate - Science & Justice, 2024 - Elsevier
Human rights investigations demand reliable data sources to substantiate alleged events,
and satellite imagery offers diverse options crucial for evidential support. This paper …
SM Yimer, A Bouanani, N Kumar, B Tischbein… - Advances in Space …, 2024 - Elsevier
Land use/land cover (LULC) information is regarded as one of the most important variables
in global change studies. Several LULC classification algorithms are available with different …

Assessing the potential impacts of climate change on current coastal ecosystems—A Canadian case study

QV Dau, X Wang, MAR Shah, P Kinay, S Basheer - Remote Sensing, 2023 - mdpi.com
Understanding how climate change affects coastal ecosystems is one of the most important
elements in determining vulnerability and resilience for long-term ecosystem management …

Analysis of four decades of land use and land cover change in semiarid Tunisia using Google Earth engine

N Kadri, S Jebari, X Augusseau, N Mahdhi, G Lestrelin… - Remote Sensing, 2023 - mdpi.com
Semiarid Tunisia is characterized by agricultural production that is delimited by water
availability and degraded soil. This situation is exacerbated by human pressure and the …

Flow of mangrove ecosystem services to coastal communities in the Brazilian Amazon

M Owuor, TMT Santos, P Otieno… - Frontiers in …, 2024 - frontiersin.org
Mangrove forests are broadly recognized to support a variety of ecosystem services on
coastal margins worldwide. These services may significantly contribute to the wellbeing of …

Using Landsat-5 for accurate historical LULC classification: A comparison of machine learning models

D Krivoguz, SG Chernyi, E Zinchenko, A Silkin… - Data, 2023 - mdpi.com
This study investigates the application of various machine learning models for land use and
land cover (LULC) classification in the Kerch Peninsula. The study utilizes archival field …