Analysis of landuse and landcover changes in Kashmir valley, India—A review

Ahmed, Rayees; Ahmad, Syed Towseef; Wani, Gowhar Farooq; Ahmed, Pervez; Mir, Abaas Ahmad; Singh, Amarjeet

doi:10.1007/s10708-021-10465-8

Cited by 39 publications

(10 citation statements)

References 44 publications

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“…The Himalayan cryosphere acts as a major source of water for downstream regions and has important interconnections with ecosystems and socioeconomic benefits [9,30]. Glaciers and glacial lakes in the Jhelum Basin of the Kashmir Himalayas are vital sources to headwaters of the Indus River basin and supports hydropower generation, irrigation, domestic uses and tourism in the downstream areas [57].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal dynamics of glacial lakes (1990–2018) in the Kashmir Himalayas, India using Remote Sensing and GIS

et al. 2021

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This study is perhaps the first attempt to use satellite data (1990–2018) to analyze spatiotemporal changes in glacial lakes over the Kashmir Himalayas supplemented by field studies. Landsat images were used to delineate the spatial extent of glacial lakes at four-time points, i.e., 1990, 2000, 2010 and 2018. The total count of lakes as well as their spatial extent showed a discernible increase. The number increased from 253 in 1990 to 324 in 2018, with a growth rate of 21.4%. The area has increased from 18.84 ± 0.1 km2 in 1990 to 22.13 ± 0.12 km2 in 2018 with a growth rate of 14.7%. The newly formed glacial lakes, including supraglacial lakes, were greater in number than the lakes that disappeared over the study period. All glacial lakes are situated at elevations of 2700 m asl and 4500 m asl. More than 78% of lake expansion in the study region is largely due to the growth of existing glacial lakes. Through area change analysis, our findings reveal that certain lakes show rapid expansion needing immediate monitoring and observation. The analysis of the meteorological variables reveals that minimum and maximum temperatures in the Jhelum basin have shown an increasing trend. Tmax showed an increase of 1.25 °C, whereas Tmin increased to 0.7 °C from 1980 to 2020. On the other hand, precipitation has shown a decreasing trend, which can be attributed to one of the major causes of glacier recession and the expansion of glacial lakes in the Upper Jhelum basin. Consequently, this study could play a significant role in devising a comprehensive risk assessment plan for potential Glacial Lake Outburst Floods (GLOFs) and developing a mechanism for continuous monitoring and management of lakes in the study region.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal dynamics of glacial lakes (1990–2018) in the Kashmir Himalayas, India using Remote Sensing and GIS

et al. 2021

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“…The people in the region have shifted from agriculture to horticulture mainly because of the good economic returns. Besides economic compulsions, climate change and population growth are the other major reasons of the shift from agriculture to horticulture in the valley of Kashmir including Anantnag district as confirmed by (Fayaz et al, 2021;Ahmed et al, 2021).…”

Section: Change In the Area Under Paddy And Apple Of Surveyed Farmersmentioning

confidence: 93%

Shifting of Agriculture to Horticulture in Anantnag District: A Geographical Analysis

Sheikh

Ahmed

Purohit³

2022

Int. J. Agr. Syst.

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The vast area of paddy crop in Anantnag district (Jammu and Kashmir) has been converted for the construction of houses, roads and especially for horticultural purposes. The cultivation of paddy has been an old cultural heritage of Anantnag district as well as for the Kashmir valley as a whole, while the farmers are increasingly finding it less profitable in recent times. The present study used both primary (Survey) and secondary data from different sources with an aim to highlight the issue of diversifying of food crops (Paddy) towards cash crops (Apple) in district Anantnag. The findings from the study reveal that 6908 hectares of agricultural cropped area is shifted towards the horticultural cropped area, as agricultural crops (paddy) have low comparative advantage over horticultural (Apple). Paddy land under surveyed farmers has registered a significant decrease from 330 canals (83.75%) in 2000-01 to 158 canals (40.11%) in 2014-15, therefore showing an absolute change of -172 canals. The primary survey further reveals that 09 (30%) of the respondents says less profit is the main reason behind the shift, followed by irrigation (drought) problems 07 (23.34%) and 14 (46.66%) respondents says both reasons are responsible behind shift of Paddy to Apple cultivation in the region.

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“…It was the initial SLEUTH model, which the researchers employed for a long time before moving on to CA-Markov in 1980 [38]. It was used to predict land changes after 2010 [39]. According to the survey, the researchers focused solely on the analysis of land change predictions, not on comparing actual and predicted land changes, indicating a gap that led to the creation of this study [40][41][42][43][44][45][46][47][48][49][50][51].…”

Section: Related Workmentioning

confidence: 99%

“…The city is approximately 2,200 meters above sea level [38], as appears in Figure 1. With a complete space of 126 km2 (49 sq mi), it has a populace of around 3,937,500 (2012) [39]. Sana'a's precipitation is limited to 200 mm/year, while the fading is several times higher.…”

Section: Related Workmentioning

confidence: 99%

Modeling Land Use Change in Sana’a City of Yemen with MOLUSCE

Alshari

Gawali

2022

Journal of Sensors

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This study provided insight into the size of the difference between the actual and predicted changes in Landsat 8 satellite imagery for the case study Sana’a of Yemen. The LULC classification was created using data available in 2005, 2010, 2015, and 2020. It used the MOLUSCE tool for predicting land changes for the predicted for 2010, 2015, 2020, 2025, and 2030. The objectives of this study are 1) To compare the actual and predicted land changes in 2010,2015 and 2020. 2) To analyze and verify the tool’s performance (MOLUSCE). 3) To identify the size of effect which evented land changes in 2015 on land changes in 2020,2025 and 2030. The results were: 1/the effects of land changes in 2010 showed the accuracy and reliability of MOLUSCE for predicting land changes due to the low difference between the actual and predicted 2010 before the conflict in the region. 2/the actual changes for 2015 were negative and did not support the logical trend toward progress where it is natural that the human element progresses to the increasing construction. 3/identify prediction changes for (2020,2025,2030) are affected by events conflict, which showed in the results of the 2015 images.

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Analysis of landuse and landcover changes in Kashmir valley, India—A review

Cited by 39 publications

References 44 publications

Spatiotemporal dynamics of glacial lakes (1990–2018) in the Kashmir Himalayas, India using Remote Sensing and GIS

Spatiotemporal dynamics of glacial lakes (1990–2018) in the Kashmir Himalayas, India using Remote Sensing and GIS

Shifting of Agriculture to Horticulture in Anantnag District: A Geographical Analysis

Modeling Land Use Change in Sana’a City of Yemen with MOLUSCE

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