Detection of snow/ice cover changes using subpixel-based change detection approach over Chhota-Shigri glacier, Western Himalaya, India

Sood, Vishakha; Gusain, Hemendra Singh; Gupta, Sheifali; Taloor, Ajay Kumar; Singh, Sartajvir

doi:10.1016/j.quaint.2020.05.016

Cited by 53 publications

(10 citation statements)

References 32 publications

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“…Snow and glaciers are an important part of the hydrological cycle of the TP (Sun et al, 2019;Thind et al, 2021;Zhou et al, 2018). Changes in snow cover not only affect the natural environment of the TP, but also have an important impact on regional water resources (Konya et al, 2020;Sood et al, 2020). The typical snow melting process includes accumulation, early snow melting and snow melting period (Thapa et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…In the past 30 years, the area of snow in cold regions has been decreasing (Konya et al, 2020). The snow and ice surface of Antarctica continues to shrink, the snow cover of the Antarctic continental coastal zone shows a fluctuating decrease, and the snow coverage of the Arctic also shrinks continuously (Jabbar et al, 2020;Niu et al, 2020;Sood et al, 2020). The accelerated melting of glaciers has brought huge challenges to the global climate and environment, and has become a hot spot in climate change research in recent years (Chen et al, 2019;Pu et al, 2020;Thapa et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Jin¹,

chen²

2021

Preprint

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The Qinghai-Tibet Plateau (TP) is one of the most sensitive areas to climate change, and its ecological environment changes directly or indirectly reflect the global climate change trend. The snow cover ratio (SCR) is an important indicator reflecting the climate and environmental changes of the TP. The daily remote sensing data of snow cover on the TP from 2003 to 2014 were used to study the spatio-temporal distribution of snow cover on the TP. The results have shown that the average snowmelt day on the TP starts on the 103rd day and ends on the 223rd day of a year, and the snowmelt duration has a downward trend. Snow is mainly distributed in the Nyainqentanglha Mountains, Karakoram Mountains and Himalayas. The SCR in summer has a downward trend, while in autumn has a rising trend. This shows that the difference in SCR during the year has enlarged, increasing the risk of snowmelt floods. The SCR is highly correlated with temperature, but weakly correlated with precipitation. Using the long-term remote sensing data of snow cover, the distribution of glacier coverage on the TP can be extracted, in which glaciers on the TP account for about 1%. This research provides an important reference for in-depth understanding of the snow cover changes on the TP and their impact on the environment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Jin¹,

chen²

2021

Preprint

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“…El uso del índice Kappa en este estudio tiene el fin de enriquecer la evaluación de exactitud de las clasificaciones. Aunque este índice sea discutido (Pontius y Millones, 2011), varias investigaciones actuales emplean el índice Kappa como referencia para la validación del mapeo de áreas con cobertura glaciar (e.g., López-Moreno et al, 2020;Sood et al, 2021;Zhang et al, 2020).…”

Section: Evaluación De La Exactitud De La Clasificaciónunclassified

Evaluación del retroceso glaciar de la Sierra Nevada del Cocuy, Colombia a partir de la clasificación de imágenes multisensor

Cardenas

Gómez

et al. 2022

Boletín de Geología

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Los glaciares andinos representan una de las fuentes principales del recurso hídrico en Suramérica y durante las últimas décadas se han reducido significativamente como producto del cambio climático y la variabilidad climática. En los Andes colombianos, el pico nevado más extenso corresponde a la Sierra Nevada del Cocuy (SRC), un cordón montañoso localizado al noreste de la Cordillera Oriental con presencia de nieves perpetuas en alturas que oscilan aproximadamente entre los 4800 y los 5345 metros sobre el nivel del mar (msnm). A partir de imágenes satelitales de Landsat-4 (1987), Landsat-5 (1991, 1997, 2009), Landsat-7 (2000, 2003), Landsat-8 (2014, 2016, 2017), y Sentinel-2 (2019, 2021) se realizó una clasificación orientada a píxel usando el software PCI Geomatics, en la cual se definieron 4 tipos de cobertura: área glaciar, suelo-roca, vegetación y agua. Para la validación de exactitud (accuracy) fueron utilizadas como datos de referencia, imágenes satelitales de alta resolución espacial (Google Earth ~1,0 m y Planet’s high-resolution, analysis-ready mosaics of the world’s tropics ~4,7 m) y puntos de control de campo. Los valores de exactitud global (todas las coberturas) oscilaron entre 86-99%, con una exactitud para la cobertura de área glaciar entre 97-100%. La disminución de dicha área es de 1099,59 ha en un lapso de 34 años (1987-2021). Este análisis reveló que el área glaciar disminuyó aproximadamente en un 37,92% con respecto a la primera escena (1987). Según dicha tendencia, el glaciar de la SRC se extinguiría para el año 2048. La tasa de retroceso glaciar está influenciada principalmente por factores relacionados con el calentamiento global como lo son el aumento de la temperatura media anual y la disminución en las tasas de precipitación, y factores de variabilidad climática como el fenómeno de El Niño.

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“…The morphotectonic analyses is significant in under-standing the fluvial geomorphic processes, tectonic influence of land-scape and their role to drainage development (Horton, 1945;Schumm, 1956;Bull and McFadden, 1977;Keller and Pinter, 1996). Globally, the Digital Elevation data is used as an essential tool in GIS environment to analyze the morphotectonic characteristics of the drainage basins (Montgomery and Foufoula-Georgiou, 1993;Tucker, 1996;Hajam et al, 2013;Kothyari, 2014;Kothyari et al, 2016aKothyari et al, , 2017aKothyari et al, , 2016bWaikar and Nilawar, 2014;Sklar and Dietrich, 1998;Weissel and Seidl, 1998;Singh et al, 2017Singh et al, , 2020Sood et al, 2020). Conventionally, the drainage systems in an active tectonic terrain is impacted by river incisions, active folding and faulting and erodibility which leads to the formation of several alluvial landforms (Schumm, 1986;Keller and Pinter, 1996;Whipple et al, 2013;Kothyari, 2014;Kothyari et al, 2016aKothyari et al, , 2018aTaloor et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Tectonic imprints of landscape evolution in the Bhilangana and Mandakini basin, Garhwal Himalaya, India: A geospatial approach

Taloor

Joshi

Kotlia

et al. 2021

Quaternary International

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Torrential rains, landslides, and seismic activity are the common factors that are causing unprecedented damage to life, property and infrastructure in Mandakini and Bhilangana basins of Garhwal Himalaya. Owing to such conditions, we demonstrate the feedback this landscape in Garhwal Himalaya in response to episodic tectonic uplift and monsoon precipitation. We calculated conventional geomorphic parameters to access the tectonic deformation across the major thrusts and faults. We further analyzed the normalized steepness index (Ksn), Chi (χ), and knickpoints along the longitudinal course of rivers. Additionally, the study attributed to active nature of Chail/Ramgarh thrust along the Balganga valley as envisaged by five levels of unpaired fluvial terraces, entrenched stream course, river ponding, active and stabilized landslide deposits, etc. Moreover, the flooding during the heavy rainfall events induced river toe cutting makes an effect on settlement over fluvial deposits. Therefore, we suggested that the highly dissected and tilted basins with deep V shaped valleys and ongoing seismicity also fabricates the region more vulnerable for hazards which threaten the human lives.

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Detection of snow/ice cover changes using subpixel-based change detection approach over Chhota-Shigri glacier, Western Himalaya, India

Cited by 53 publications

References 32 publications

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Spatio-Temporal Changes of Snow Cover and Its Relationship With Meteorological Factors on the Qinghai-Tibet Plateau, China

Evaluación del retroceso glaciar de la Sierra Nevada del Cocuy, Colombia a partir de la clasificación de imágenes multisensor

Tectonic imprints of landscape evolution in the Bhilangana and Mandakini basin, Garhwal Himalaya, India: A geospatial approach

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