Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices
Realizing the intricate relationships between drought, vegetation dynamics, and climate change is essential for sustainable resource management. Although temperature and rainfall patterns are the primary determinants of these fluctuations, human activity also plays a significant role. Recent decades...
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2025
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| author | Halder B. Rana B. Juneng L. Pande C.B. Alshehery S. Elsahabi M. Yadav K.K. Sammen S.S. Naganna S.R. |
| author2 | 57217238320 |
| author_facet | 57217238320 Halder B. Rana B. Juneng L. Pande C.B. Alshehery S. Elsahabi M. Yadav K.K. Sammen S.S. Naganna S.R. |
| author_sort | Halder B. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Realizing the intricate relationships between drought, vegetation dynamics, and climate change is essential for sustainable resource management. Although temperature and rainfall patterns are the primary determinants of these fluctuations, human activity also plays a significant role. Recent decades have witnessed significant climate change events, particularly in peninsular India. Analyzing these year-by-year variations in rainfall and temperature is essential for informed decision-making. This knowledge can guide the development of innovative adaptation strategies to ensure sustainable livelihoods in the region. This study utilizes the Google Earth Engine platform to analyze yearly climate data and relevant geographical indices from 2003 to 2023 across Peninsular India. The analysis reveals a statistically significant increase in mean annual rainfall (0.262 mm/year) alongside a slight rise in regional land surface temperature (LST) trends (0.102 �C/year). However, yearly average anomaly values for LST also show an upward trend, rising from 2.56 in 2003 to 3.23 in 2023. This suggests a potential shift in rainfall patterns, with potential consequences for water availability. Rising temperatures coupled with altered rainfall patterns can lead to water scarcity, especially in regions reliant on rain-fed agriculture. This has a direct impact on crop yields and overall agricultural productivity. Despite rising temperatures, the analysis using drought indices suggests a decline in average annual drought severity across Peninsular India, with values decreasing from 0.33 in 2003 to 2.70 in 2023. Interestingly, we found a strong positive association between rainfall and vegetation indices, while rainfall and LST exhibited a negative correlation. Interestingly, while rainfall and LST exhibited a negative correlation, a strong positive association was found between rainfall and vegetation indices. These comprehensive findings hold significant potential for informing future climate projections and promoting sustainable development in peninsular India through evidence-based applications. ? 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. |
| format | Article |
| id | my.uniten.dspace-37017 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Taylor and Francis Ltd. |
| record_format | dspace |
| spelling | my.uniten.dspace-370172025-03-03T15:46:39Z Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices Halder B. Rana B. Juneng L. Pande C.B. Alshehery S. Elsahabi M. Yadav K.K. Sammen S.S. Naganna S.R. 57217238320 58887957000 23976053900 57193547008 57948753600 57192111974 57202908705 57192093108 57605029600 Agriculture Atmospheric temperature Decision making Drought Engines Land surface temperature Rain Surface measurement Surface properties Vegetation Google earth engine Google earths Land surface temperature Peninsular india Rainfall anomaly Rainfall index Rainfall patterns Rising temperatures Vegetation condition Vegetation index Climate change Realizing the intricate relationships between drought, vegetation dynamics, and climate change is essential for sustainable resource management. Although temperature and rainfall patterns are the primary determinants of these fluctuations, human activity also plays a significant role. Recent decades have witnessed significant climate change events, particularly in peninsular India. Analyzing these year-by-year variations in rainfall and temperature is essential for informed decision-making. This knowledge can guide the development of innovative adaptation strategies to ensure sustainable livelihoods in the region. This study utilizes the Google Earth Engine platform to analyze yearly climate data and relevant geographical indices from 2003 to 2023 across Peninsular India. The analysis reveals a statistically significant increase in mean annual rainfall (0.262 mm/year) alongside a slight rise in regional land surface temperature (LST) trends (0.102 �C/year). However, yearly average anomaly values for LST also show an upward trend, rising from 2.56 in 2003 to 3.23 in 2023. This suggests a potential shift in rainfall patterns, with potential consequences for water availability. Rising temperatures coupled with altered rainfall patterns can lead to water scarcity, especially in regions reliant on rain-fed agriculture. This has a direct impact on crop yields and overall agricultural productivity. Despite rising temperatures, the analysis using drought indices suggests a decline in average annual drought severity across Peninsular India, with values decreasing from 0.33 in 2003 to 2.70 in 2023. Interestingly, we found a strong positive association between rainfall and vegetation indices, while rainfall and LST exhibited a negative correlation. Interestingly, while rainfall and LST exhibited a negative correlation, a strong positive association was found between rainfall and vegetation indices. These comprehensive findings hold significant potential for informing future climate projections and promoting sustainable development in peninsular India through evidence-based applications. ? 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Final 2025-03-03T07:46:39Z 2025-03-03T07:46:39Z 2024 Article 10.1080/19475705.2024.2381635 2-s2.0-85199973315 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199973315&doi=10.1080%2f19475705.2024.2381635&partnerID=40&md5=4594c5c7412e970f7aada38346a4c363 https://irepository.uniten.edu.my/handle/123456789/37017 15 1 2381635 Taylor and Francis Ltd. Scopus |
| spellingShingle | Agriculture Atmospheric temperature Decision making Drought Engines Land surface temperature Rain Surface measurement Surface properties Vegetation Google earth engine Google earths Land surface temperature Peninsular india Rainfall anomaly Rainfall index Rainfall patterns Rising temperatures Vegetation condition Vegetation index Climate change Halder B. Rana B. Juneng L. Pande C.B. Alshehery S. Elsahabi M. Yadav K.K. Sammen S.S. Naganna S.R. Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title | Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title_full | Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title_fullStr | Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title_full_unstemmed | Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title_short | Cloud computing-based estimation of Peninsular India?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| title_sort | cloud computing-based estimation of peninsular india?s long-term climate change impacts on rainfall, surface temperature, and geospatial indices |
| topic | Agriculture Atmospheric temperature Decision making Drought Engines Land surface temperature Rain Surface measurement Surface properties Vegetation Google earth engine Google earths Land surface temperature Peninsular india Rainfall anomaly Rainfall index Rainfall patterns Rising temperatures Vegetation condition Vegetation index Climate change |
| url_provider | http://dspace.uniten.edu.my/ |