Abstract

The assessment of land suitability and capability to reduce the anthropogenic pressure on is significant for the agricultural yield management in rainfed Potwar Region Pakistan. This study examines phases of wheat growth using Landsat-8 thermal bands and temperature based site maps, and demarcates suitable sites in potwar region for sustainable crops through Multi-Criteria Evaluation (MCE), Analytical Hierarchy Process (AHP), python and geospatial techniques. The total investigation area was 22168 km2 out of which 12256 km2 (55%) declared highly suitable, 2998 km2 (13%) was moderately suitable, 4843 km2 (22%) was less suitable and 2069 km2 (10%) was found not suitable for wheat crop cultivation (WCC). The results indicated that the areas having temperature ranging between 10–18 °C, pH between 6.2–6.5 and clay loom soil type with drainage level 0.85–1.1 corresponds to extremely suitable for wheat production. Various land quality factors; that is slope, flooding, soil texture, erosion, depth and coarser bits under different land-units were assessed for the crops. Consequently, all these factors were combined to make an integrated land suitability and capability (LSC) map for each landuse and suitable soils for agricultural productions. It is concluded that better landuse practices can be implemented to enhance the suitable agricultural sites.

Details

Title
ASSESSMENT OF LAND SUITABILITY AND CAPABILITY BY INTEGRATING REMOTE SENSING AND GIS FOR AGRICULTURE IN POTWAR REGION PAKISTAN
Author
Batool, S 1 ; Mahmood, S A 2 ; M Muhammad Ali 2 

 Centre for Integrated Mountain Research, University of the Punjab, Lahore, Pakistan; Centre for Integrated Mountain Research, University of the Punjab, Lahore, Pakistan 
 Department of Space Science, University of the Punjab, Lahore, Pakistan; Department of Space Science, University of the Punjab, Lahore, Pakistan 
Pages
409-415
Publication year
2023
Publication date
2023
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
ProQuest document ID
2823451661
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.