共 90 条
Remote sensing-based analysis of land use, land cover, and land surface temperature changes in Jammu District, India
被引:5
作者:

Saleem, Haadiya
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Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India

Ahmed, Rayees
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机构:
Univ Kashmir, Sch Earth & Environm Sci, Dept Geog & Disaster Management, Srinagar 190006, India Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India

Mushtaq, Shaista
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机构:
Univ Kashmir, Sch Earth & Environm Sci, Dept Geog & Disaster Management, Srinagar 190006, India Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India

Saleem, Shahid
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Univ Kashmir, Sch Earth & Environm Sci, Dept Geog & Disaster Management, Srinagar 190006, India Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India

Rajesh, Mudigandla
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机构:
Andhra Univ, Civil Engn Dept, Visakhapatnam, India Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India
机构:
[1] Indira Gandhi Natl Open Univ Maidan Garhi, Dept Geoinformat, New Delhi, India
[2] Univ Kashmir, Sch Earth & Environm Sci, Dept Geog & Disaster Management, Srinagar 190006, India
[3] Andhra Univ, Civil Engn Dept, Visakhapatnam, India
关键词:
Remote sensing;
Landsat imagery;
LULC;
LST;
NDVI;
change detection;
Jammu District;
India;
IMPACTS;
CROPS;
D O I:
10.1080/15715124.2024.2327493
中图分类号:
TV21 [水资源调查与水利规划];
学科分类号:
081501 ;
摘要:
The study conducted in Jammu District, India, investigates land use and land cover (LULC) transformations over the past three decades using satellite data and remote sensing techniques. Analyzing data from 1990 to 2020, significant changes were observed. Agricultural land expanded by 157.76 km2 (6.71%), barren land by 151.69 km2 (6.45%), and settlements by 96.97 km2 (4.12%). However, vegetation decreased by 389.77 km2 (16.57%), while water bodies experienced minimal changes. Land Surface Temperature (LST) analysis, utilizing MODIS data (2000-2020), revealed warming trends, with temperatures ranging from 15.92 degrees C to 42.77 degrees C in 2010 and 14.04 degrees C to 37.01 degrees C in 2020. Notably, NDVI values peaked in 2020 (0.759) and were lowest in 1990 (-0.243), indicating healthier vegetation and lower surface temperatures. This inverse correlation highlights NDVI's potential as an indicator for assessing vegetation health and its impact on local temperature conditions. Man-Kendall Z statistics indicated negative trends for Tmax and Tmin, while rainfall data showed significant positive trend. Population growth, urbanization, climate change and agricultural intensification emerged as principal drivers of the LULC changes in the region. This study underscores the importance of geospatial tools in monitoring LULC changes, providing valuable insights for policymakers and planners to formulate sustainable land use planning and management strategies.
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