
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101529 - 101529
Published: March 1, 2025
Language: Английский
Citations
0Land Use Policy, Journal Year: 2025, Volume and Issue: 153, P. 107540 - 107540
Published: April 9, 2025
Language: Английский
Citations
0Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4500 - 4500
Published: Nov. 30, 2024
Extreme heat events, or heatwaves, exert significant impacts on human society, ecosystems, and the economy. The continuous development of remote sensing technology has facilitated acquisition high-quality data for assessing health risks associated with these extreme events. This study systematically reviews evaluation factors assessment framework a spatially explicit heat-related risks. contribution geospatial big data, particular focus satellite observations, to assessments was investigated. Moderate Resolution Imaging Spectroradiometer (MODIS) Landsat surface temperature (LST) are identified as two most widely utilized sources mapping hazards. incorporation multi-sensor along implementation spatiotemporal fusion downscaling techniques, enhances both spatial resolution temporal frequency hazard characterization. It is essential consider issues justice equality in heat-resilient planning mitigation practices. Integrating heatwave risk results analyses urban morphology, land use functions infrastructure can provide critical information government agencies strategically plan layout, functions, public service facilities while optimizing enhancing green infrastructures.
Language: Английский
Citations
2Evergreen, Journal Year: 2024, Volume and Issue: 11(1), P. 536 - 546
Published: March 1, 2024
Mangrove plants are crucial in providing ecosystem benefits that align with the Sustainable Development Goals (SDGs), particularly regarding climate regulation (SDG 13), due to their efficient carbon storage capabilities.Ensuring preservation and effective management of this valuable natural resource requires precise mapping monitoring systems.While techniques using optical radar remote sensing data have been utilized for mangrove areas, traditional methods detecting damage face limitations concerning accuracy, efficiency, automation.This research records a novel approach ecosystems Kotabaru Regency, South Kalimantan, from 2017 2021, fusion Sentinel-1 Sentinel-2 satellite imagery data.The study demonstrates optimal combination single-date image inputs identification deep learning model involves fusing Sentinel-2's original five-band (Red, Green, Blue, NIR, SWIR-1), four multispectral indices (FDI, MDI, MNDWI, WFI), SAR (VV VH).This yields impressive performance metrics, including Overall Accuracy (OA) 95.60%, Intersection over Union (IoU) 93.09%, F1-Score 96.42%.Furthermore, proposed is analyze spatial-temporal dynamics habitats area every year 2021.The results reveal largest region was recorded as 8,240.06hectares 2019, while smallest 7,069.68 hectares 2020.This potential method tool accurate monitoring, critical information conservation efforts.
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Citations
0