Satellite-based evaluation of temporal change in cultivated land in Southern Punjab (Multan region) through dynamics of vegetation and land surface temperature

• DOI: 10.1515/geo-2020-0298
• Publication Date: 2021-12-25T17:20:34Z
• Authors: Sajjad Hussain; Muhammad Mubeen; Ashfaq Ahmad; Nasir Masood; Hafiz Mohkum Hammad; Muhammad Amjad; Muhammad Imran; Muhammad Usman; Hafiz Umar Farid; Shah Fahad; Wajid Nasim; Hafiz Muhammad Ra...; Mazhar Ali; Saeed Ahmad Qaisrani; Amjad Farooq; Muhammad Shafique...; Mirza Waleed
• Keywords: Land Cover

Abstract The rapid increase in urbanization has an important effect on cropping pattern and land use/land cover (LULC) through replacing areas of vegetation with commercial residential coverage, thereby increasing the surface temperature (LST). LST information is significant to understand environmental changes, urban climatology, anthropogenic activities, ecological interactions, etc. Using remote sensing (RS) data, present research provides a comprehensive study LULC changes water scarce climate prone Southern Punjab (Multan region), Pakistan, for 30 years (from 1990 2020). For this research, Landsat images were processed supervised classification maps Multan region. showed that sugarcane rice (decreased by 2.9 1.6%, respectively) had less volatility variation comparison both wheat cotton 5.3 6.6%, respectively). analysis normalized difference index (NDVI) decreased region minimum value (−0.05 [1990] −0.15 [2020]) maximum (0.6 0.54 [2020]). results built-up area was increased 3.5% during 1990–2020, these some major which 27.6 28.5°C) area. regression our clearly shows NDVI are negatively correlated each other. suggested growing period greatest all types vegetation. Crop-based aids policy managers analysts make better enhanced based extent natural resources. So, dynamics crops satellite RS can play role rural development planning food security