Application of Change Detection Techniques Driven by Expert Opinions for Small-area Studies in Developing Countries

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02594 - e02594

Published: Feb. 1, 2025

Language: Английский

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Enhancing small satellite image resolution via shrinking rearranged mechanism and multiscale reparameterized attention

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 149, P. 110460 - 110460

Published: March 14, 2025

Language: Английский

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Semantic Segmentation of Remotely Sensed Images for Land-use and Land-cover Classification: A Comprehensive Review

IETE Technical Review, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 13, 2025

Language: Английский

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Evaluating the role of formal urban blue spaces in ecosystem service provision: Insights from New Town, Kolkata

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125287 - 125287

Published: April 14, 2025

Language: Английский

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The impact of land use and land cover on groundwater fluctuations using remote sensing and geographical information system: Representative case study in Afghanistan

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 19, 2023

Language: Английский

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Use of Multi-Feature Extraction and Transfer Learning to Identify Urban Villages in China

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 424 - 424

Published: Jan. 26, 2025

Urban villages (UVs) are the most typical urban informal settlements in China, and study of an effective identification method for UVs can help to provide a reference development locally adapted UV transformation policies. In order reduce cost labeling enhance transferability, this integrates remote sensing social data applies sample migration from labeled area less based on theory transfer learning. There two main results study: (1) This constructed feature system multi-feature extraction using block as unit, experiments Tianhe District achieved overall accuracy 90% kappa coefficient 0.76. (2) Using source domain Jiangan target domain, samples were reused KMM, TCA, CORAL algorithms. The CORAL+RF algorithm showed best performance, where its reached 97.06% 0.89, 91.17% 0.67 case no labeling. To sum up, proposed present provides theoretical references methods different geographical areas.

Language: Английский

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Research on Super-Resolution Reconstruction Algorithms for Remote Sensing Images of Coastal Zone Based on Deep Learning

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 733 - 733

Published: March 29, 2025

High-resolution multispectral remote sensing imagery is widely used in critical fields such as coastal zone management and marine engineering. However, obtaining images at a low cost remains significant challenge. To address this issue, we propose the MRSRGAN method (multi-scale residual super-resolution generative adversarial network). The leverages Sentinel-2 GF-2 imagery, selecting nine typical land cover types zones, constructs small sample dataset containing 5210 images. extracts differential features between high-resolution (HR) low-resolution (LR) to generate In our approach, design three key modules: fusion attention-enhanced module (FAERM), multi-scale attention (MSAF), feature extraction (MSFE). These modules mitigate gradient vanishing extract image different scales enhance reconstruction. We conducted experiments verify their effectiveness. results demonstrate that approach reduces Learned Perceptual Image Patch Similarity (LPIPS) by 14.34% improves Structural Index (SSIM) 11.85%. It effectively issue where large-scale span of ground objects makes single-scale convolution insufficient for capturing detailed features, thereby improving restoration effect details significantly enhancing sharpness object edges.

Language: Английский

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Land Use and Land Cover Change Dynamics in the Niger Delta Region of Nigeria from 1986 to 2024

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 765 - 765

Published: April 3, 2025

Land Use and Cover Change (LULCCs) shapes catchment dynamics is a key driver of hydrological risks, affecting responses as vegetated land replaced with urban developments cultivated land. The resultant risks are likely to become more critical in the future climate changes becomes increasingly variable. Understanding effects LULCC vital for developing management strategies reducing adverse on cycle environment. This study examines Niger Delta Region (NDR) Nigeria from 1986 2024. A supervised maximum likelihood classification was applied Landsat 5 TM 8 OLI images 1986, 2015, Five use classes were classified: Water bodies, Rainforest, Built-up, Agriculture, Mangrove. overall accuracy Kappa coefficients 93% 0.90, 91% 0.87, 84% 0.79 2024, respectively. Between built-up agriculture areas substantially increased by about 8229 6727 km2 (561% 79%), respectively, concomitant decrease mangrove vegetation 14,350 10,844 (−54% −42%), spatial distribution across NDR states varied, Delta, Bayelsa, Cross River, Rivers States experiencing highest rainforest, losses 64%, 55, 44%, 44% (5711 km2, 3554 2250 1297 km2), NDR’s mangroves evidently under serious threat. has important implications, particularly given role played forests regulating hazards. dramatic rainforest could exacerbate climate-related impacts. provides quantitative information that be used support planning practices well sustainable development.

Language: Английский

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Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

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Spatio-temporal dynamics of land use and land cover types within the Belabo-Diang communal forest in East Cameroon

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(4)

Published: April 28, 2025

Language: Английский

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