Spatio-temporal changes in the Machoi glacier Zanskar Himalaya India using geospatial technology

Taloor, Ajay Kumar; Kothyari, Girish Chandra; Manhas, Drinder Singh; Bisht, Himani; Mehta, Pankaj; Sharma, Meenakshi; Mahajan, Sugandha; Roy, Sudipendra Nath; Singh, Anil Kumar; Ali, Sajid

doi:10.1016/j.qsa.2021.100031

Cited by 22 publications

(4 citation statements)

References 45 publications

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“…The application of remote sensing in glaciers began in the 1970s, initiating a new phase in glacier monitoring and solving to some extent the limitations and difficulties of glacier mapping [19]. The data obtained by remote sensors provide valuable, constantly updated, and almost real-time information on glaciers and associated geographic features [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…They contain information from different dates on each glacier [24], making their temporal comparison difficult, as in the Global Land Ice Measurements from Space (GLIMS) and World Glacier Monitoring Service (WGMS) initiatives [19,20]. Therefore, it is necessary to have a comparable temporal record of glacier areas to observe their response to climate change and variability [21].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the availability, accessibility, and temporal and spatial continuity of satellite data (such as Landsat and Sentinel) [25][26][27][28] and the development of cloud computing platforms, such as Google Earth Engine (GEE) [29], have created an opportunity to map the historical evolution of land cover change, such as water bodies and glaciers [16,18,21,26,[30][31][32][33][34][35][36]. Despite the progress made in recent years in the assessment of glacier areas, there are still many cases in which the automatic delimitation of glacier boundaries in satellite images is complex, error prone, or time consuming [13,20,37].…”

Section: Introductionmentioning

confidence: 99%

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Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine

et al. 2022

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The fast retreat of the tropical Andean glaciers (TAGs) is considered an important indicator of climate change impact on the tropics, since the TAGs provide resources to highly vulnerable mountain populations. This study aims to reconstruct the glacier coverage of the TAGs, using Landsat time-series images from 1985 to 2020, by digitally processing and classifying satellite images in the Google Earth Engine platform. We used annual reductions of the Normalized Difference Snow Index (NDSI) and spectral bands to capture the pixels with minimum snow cover. We also implemented temporal and spatial filters to have comparable maps at a multitemporal level and reduce noise and temporal inconsistencies. The results of the multitemporal analysis of this study confirm the recent and dramatic recession of the TAGs in the last three decades, in base to physical and statistical significance. The TAGs reduced from 2429.38 km2 to 1409.11 km2 between 1990 and 2020, representing a loss of 42% of the total glacier area. In addition, the time-series analysis showed more significant losses at altitudes below 5000 masl, and differentiated changes by slope, latitude, and longitude. We found a more significant percentage loss of glacier areas in countries with less coverage. The multiannual validation showed accuracy values of 92.81%, 96.32%, 90.32%, 97.56%, and 88.54% for the metrics F1 score, accuracy, kappa, precision, and recall, respectively. The results are an essential contribution to understanding the TAGs and guiding policies to mitigate climate change and the potential negative impact of freshwater shortage on the inhabitants and food production in the Andean region.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine

et al. 2022

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“…Climate change has an enormous potential to affect the provision of ecosystem services by reducing agricultural production, affecting human health, and, ultimately, affecting millions of people whose livelihoods depend on natural resources [99][100][101]. Earlier studies reveal that glacial covers have retreated in the Himalayas due to global warming [102,103], making communities more vulnerable [104,105]. The livelihoods of the communities are increasingly vulnerable to climate change, reducing households' adaptability to cope with shock, risk, and stress [50].…”

Section: Drivers Of Vulnerability In the Himalayasmentioning

confidence: 99%

Systematic Review of Multi-Dimensional Vulnerabilities in the Himalayas

Sultan

Zhan

Rashid

et al. 2022

IJERPH

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The Himalayan region is a fragile high mountain landscape where the population experiences acute vulnerability within a complex coupled human–natural system due to environmental, social, and economic linkages. The lack of significant regional and spatial knowledge of multi-faceted vulnerabilities hinders any potential recommendations to address these vulnerabilities. We systematically reviewed the literature to recommend mitigation interventions based on the region’s socio-economic and ecological vulnerability research to date. We applied the PRISMA (Preferred Reporting of Items for Systematic Review and Meta-Analysis) criteria to search for results from four comprehensive databases. For our assessment, we compiled a final sample (n = 59) of vulnerability research papers to examine the vulnerability types, spatial variation, assessment methodology, and significant drivers of change. Our study represented all Himalayan countries, namely, India, Nepal, Pakistan, China, and Bhutan. More than half of the vulnerability studies were conducted in the central Himalayan region, a quarter in the western Himalayas, and a few in the eastern Himalayas. Our review revealed that the primary drivers of change were climate change, land use/land cover, and glacial lake formation. The vulnerability assessments in the Himalayan region primarily used social science methods as compared to natural science methods. While the vulnerability studies seldom assessed mitigation interventions, our analysis identified fourteen recommendations. The recommended interventions mainly included policy interventions, livelihood improvement, and adaptation measures. This study emphasized that sustainable development requires cross-sectoral interventions to manage existing resources and mitigate the confronting vulnerabilities of the region.

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Heterogeneity in Glacier Area Loss in Response to Climate Change in Selected Basins of Western Himalaya

Mir

Majeed

Ahmed

et al. 2022

Society of Earth Scientists Series

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Spatio-temporal changes in the Machoi glacier Zanskar Himalaya India using geospatial technology

Cited by 22 publications

References 45 publications

Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine

Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine

Systematic Review of Multi-Dimensional Vulnerabilities in the Himalayas

Heterogeneity in Glacier Area Loss in Response to Climate Change in Selected Basins of Western Himalaya

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