Analyzing Spatial–Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2113 - 2113

Published: June 11, 2024

The phenomena of global climate change and comprehensive urban expansion have precipitated significant unprecedented transformations in landscape patterns. To enhance the assessment these spatio−temporal changes their driving forces at a regional level, we developed index (CLI) to quantify patterns conducted detailed analysis variations Minnesota over last two decades. Our CLI was by examining both its quantitative relationships spatial distribution findings indicate consistent increase Minnesota’s this period, marked an escalation fragmentation diversity, alongside decline connectivity. Temporally, experienced notable shift 2010. Spatially, clustering characteristics largely remained stable. reveals that is most sensitive total population (POP) gross domestic product (GDP) factors, underscoring impact human activity on Notably, explanatory capacity interactions between factors substantially greater than individual with GDP vegetation structure (VS) interaction demonstrating greatest influence This highlights critical role interplay socio−economic coverage shaping configurations.

Language: Английский

Monitoring urban growth and landscape fragmentation in Kaduna, Nigeria, using remote sensing approach

Journal of Degraded and Mining Lands Management, Journal Year: 2024, Volume and Issue: 12(1), P. 6757 - 6769

Published: Oct. 1, 2024

This study assessed urban growth in Kaduna using remote sensing indices, landscape metrics, and Landsat images (2003, 2013, 2023). Land use/land cover was carried out the decision tree algorithm, while transition matrix computed ArcGIS 10.8. Landscape fragmentation Fragstat 4.3. The results revealed that between 2003 2023, bare land, built-up areas, water bodies increased by 596 km2, 121.04 0.22 respectively, cultivated land decreased 525.54 km2 191.91 respectively. For rate of change, lands, 29.81 6.05 0.01 annually, lands 26.28 9.60 land-use transition, 112.71 areas remained persistent. Cultivated cover, transitioned to losing 85.43 13.91 0.91 analysis number patches from 405 614 2023. Patch density, largest patch index, total edge, edge area-weighted mean shape fractal dimension index 2013 but indicating sprawl. However, contiguity consistently concluded urbanization is leading driver fragmentation. recommends development should be controlled reduce encroachment on agricultural habitats, thereby reducing degradation.

Language: Английский