The Status of Glaciers in the Western United States Based on Sentinel-2A Images DOI Creative Commons

Bernard Abubakari,

Shrinidhi Ambinakudige

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4501 - 4501

Published: Nov. 30, 2024

In this study, we utilized Random Forest machine learning classification to assess the current state of glaciers in western United States using Sentinel-2A satellite imagery. By analyzing imagery from September 2020 and comparing it RGI inventory, study determined conditions glaciers. Our findings unveiled a significant reduction both glacier area volume since mid-20th century. Currently, region hosts 2878 perennial snowfield spanning eight states, covering total 428.32 ± 7.8 km2 with corresponding 9.00 0.9 km3. During period, loss 244.31 was observed, representing 36.32% decrease when contrasted boundaries. The lost during period amounted 4.96 km3, roughly equivalent 4.7 gigatons water. Among Washington experienced most reduction, 133.16 km2. Notably, North Cascade Range Washington, such as those Mt. Baker Shuksan, now cover, on average, only 85% their original boundaries ice snow at conclusion hydrological year. Major glaciers, including White River Glacier, West Nooksack Chuck have more than 50 percent area.

Language: Английский

Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan DOI Creative Commons
Tasawer Abbas, Muhammad Shoaib, Raffaele Albano

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 154 - 154

Published: Jan. 13, 2025

Land use and land cover (LULC) changes are significantly impacting the natural environment. Human activities population growth negatively This negative impact directly relates to climate change, sustainable agriculture, inflation, food security at local global levels. Remote sensing GIS tools can provide valuable information about change detection. study examines correlation between rate LULC dynamics in three districts of South Punjab, Pakistan—Multan, Bahawalpur, Dera Ghazi Khan—over a 30-year period from 2003 2033. Landsat 7, 8, Sentinel-2 satellite imagery within Google Earth Engine (GEE) cloud platform was utilized create 2003, 2013, 2023 maps via supervised classification with random forest (RF) classifier, which is subset artificial intelligence (AI). achieved over 90% overall accuracy kappa value 0.9 for classified maps. into built-up, vegetation, water, barren classes Multan an additional “rock” class included Khan due its unique topography. (2003, 2023) were prepared validated using Engine. Future predictions 2033 generated MOLUSCE model QGIS. The results indicated substantial urban expansion as built-up areas increased 8.36% 25.56% 2033, vegetation displaying decreasing trends 82.96% 70% 7.95% 3.5%, respectively. Moreover, containing water fluctuated ultimately changed 0.73% 0.9% In grew 1.33% 5.80% while decreased 79.13% 74.31%. expressed significant increases 2.29% 12.21% 22.53% 44.72%, respectively, alongside reductions rock 32.82% 10.83% 41.23% 31.2%, Population projections compound each district emphasize demographic on changes. These findings focus need policies manage unplanned sprawl environmentally practices. provides critical awareness policy makers planners aiming balance environmental sustainability.

Language: Английский

Citations

0
Ecological security prediction and land use conflict identification in fragile mountain cities: a case study of Longnan, China DOI
Jun Zhang, Qingyu Guan, Yuxin Shan

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145146 - 145146

Published: Feb. 1, 2025

Language: Английский

Citations

0
A Ramsar site catchment undergoing major land use/land cover dynamics: Scenarios from Elephant Marsh, Malawi DOI Creative Commons
Rodgers Makwinja, Solomon G. Tesfamichael, C. J. Curtis

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101508 - 101508

Published: Feb. 1, 2025

Language: Английский

Citations

0
Assessment of vegetation dynamic and its effects in a large-scale landslide in Central Taiwan with multitemporal Landsat images DOI Creative Commons
Chih-Wei Chuang, Hao-Yu Huang, Chun-Wei Tseng

et al.

AIMS Geosciences, Journal Year: 2025, Volume and Issue: 11(2), P. 318 - 342

Published: Jan. 1, 2025

Language: Английский

Citations

0
Spatial–Temporal Changes in the Distribution of Populus euphratica Oliv. Forests in the Tarim Basin and Analysis of Influencing Factors from 1990 to 2020 DOI Open Access
Xuefei Guo, Lijun Zhu,

Zhikun Yang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1384 - 1384

Published: Aug. 7, 2024

Understanding the spatiotemporal evolution patterns of Populus euphratica Oliv. (P. euphratica) forests in Tarim Basin (TB) and their influencing factors is crucial for regional ecological security high-quality development. However, there currently a lack large-area, long-term systematic monitoring. This study utilized multi-source medium high-resolution remote sensing images from Landsat series Sentinel-2, applying Random Forest classification model to obtain distribution data P. shrublands 14 areas TB 1990 2020. We analyzed effects river distance, water transfer, farmland on distribution. Results indicated that both decreased during first 20 years increased last 10 years. Within 1.5 km transfer zones, more frequently converted shrublands, while showed recovery low-frequency areas. Farmland encroachment was most significant beyond 3 rivers. To effectively protect forests, we recommend intermittent transfers within rivers stricter management agricultural expansion km. These measures will help maintain balanced ecosystem promote sustainability forests.

Language: Английский

Citations

0
The Status of Glaciers in the Western United States Based on Sentinel-2A Images DOI Creative Commons

Bernard Abubakari,

Shrinidhi Ambinakudige

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4501 - 4501

Published: Nov. 30, 2024

In this study, we utilized Random Forest machine learning classification to assess the current state of glaciers in western United States using Sentinel-2A satellite imagery. By analyzing imagery from September 2020 and comparing it RGI inventory, study determined conditions glaciers. Our findings unveiled a significant reduction both glacier area volume since mid-20th century. Currently, region hosts 2878 perennial snowfield spanning eight states, covering total 428.32 ± 7.8 km2 with corresponding 9.00 0.9 km3. During period, loss 244.31 was observed, representing 36.32% decrease when contrasted boundaries. The lost during period amounted 4.96 km3, roughly equivalent 4.7 gigatons water. Among Washington experienced most reduction, 133.16 km2. Notably, North Cascade Range Washington, such as those Mt. Baker Shuksan, now cover, on average, only 85% their original boundaries ice snow at conclusion hydrological year. Major glaciers, including White River Glacier, West Nooksack Chuck have more than 50 percent area.

Language: Английский

Citations

0