Advances in geographical and environmental sciences, Год журнала: 2024, Номер unknown, С. 47 - 72
Опубликована: Янв. 1, 2024
Язык: Английский
World sustainability series, Год журнала: 2024, Номер unknown, С. 163 - 186
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
8
World sustainability series, Год журнала: 2024, Номер unknown, С. 141 - 161
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
7
World sustainability series, Год журнала: 2024, Номер unknown, С. 75 - 103
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
6
Опубликована: Окт. 17, 2024
Язык: Английский
Процитировано
3
One Health, Год журнала: 2025, Номер unknown, С. 101052 - 101052
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Journal of Geography and Cartography, Год журнала: 2024, Номер 7(1), С. 4265 - 4265
Опубликована: Май 13, 2024
Integrated Resource Management plays a crucial role in sustainable development by ensuring efficient allocation and utilization of natural resources. Remote Sensing (RS) Geographic Information System (GIS) have emerged as powerful tools for collecting, analyzing, managing spatial data, enabling comprehensive integrated decision-making processes. This review article uniquely focuses on (IRM) its development. It specifically examines the application RS GIS IRM across various resource management domains. The stands out coverage benefits, challenges, future directions this approach.
Язык: Английский
Процитировано
2
World sustainability series, Год журнала: 2024, Номер unknown, С. 203 - 213
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
2
Advances in geographical and environmental sciences, Год журнала: 2024, Номер unknown, С. 183 - 198
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
2
Опубликована: Окт. 17, 2024
Civilizations have historically centered around rivers, springs, and watersheds, with snowmelt from the Himalayas significantly influencing seasonal water availability. Snow Coverage Area (SCA) serves as a vital indicator of health Beas Basin, impacting summer runoff across basin's spring sheds mountain watersheds. This study employs temporal spatial satellite data over 22 years (February 2000 to July 2022) using ASTER GDEM for elevation zoning MODIS 8 Day L3 Global 500 m Grid (MOD09A1) snow signal determination analyze cover its contributions streams. The River basin, covering approximately 11,280 km 2 , shows an average SCA 17%, monthly variations peaking at 37% in February 2019 minimum 2.2% August 2016. highest rate change during accumulation period was 5.42% per 100 (3,500-4,000 m), while depletion period, it 4.39% (4,500-5,000 m). Aspect analysis reveals that north west-north-west south south-west aspects (380-3,000 m) accumulated ~0.69% SCA, higher elevations (3,000-5,000 5,000-6,585 show greater variability. Specifically, south-south-east south-south-west aspect had (~2.01%) compared east-north-east (~0.88%) 3,000-5,000 range. In range, south-east (~0.39%) (~0.19%), both ranges showing maximum (August 2021 2022). These findings importance continuous monitoring Basin assessing basin health, managing resources, supporting sustainable practices crucial maintaining overall basin.
Язык: Английский
Процитировано
2
Natural Resources Conservation and Research, Год журнала: 2024, Номер 7(1), С. 4477 - 4477
Опубликована: Март 28, 2024
Background: Dharoi Reservoir, located in Gujarat, India, is a vital freshwater resource supporting agriculture, industry, and local communities. Chl-a, key indicator of water quality, reflects the trophic state ecological balance aquatic systems. Objective(s): This study aims to provide comprehensive insights into quality dynamics offering valuable information for environmental management sustainable planning. Methods: employs high-resolution Sentinel-2 satellite imagery analyze Chl-a concentrations reservoir during October 2020. The index, calculated by dividing bands B5 B4, reveals spatial distribution concentrations. Results: index ranges from 73.78 100. mean 91.6 with standard deviation 3.27, indicating elevated variable Conclusions: findings contribute understanding reservoir’s health assist making informed decisions management. research exemplifies integration remote sensing technology stewardship, promoting practices region. Policy recommendations: One possible policy recommendation monitor regulate sources nutrient inputs reservoir, such as agricultural runoff, sewage, industrial effluents, reduce risk eutrophication algal blooms. Another implement adaptive strategies that consider seasonal variability their impacts on availability.
Язык: Английский
Процитировано
1