Manuscript Title:

WHEAT PRODUCTION IN FAISALABAD DURING RABI-2023; A REMOTE SENSING BASED INVESTIGATION OF THE FACTORS CONTRIBUTING TO HIGHER YIELDS

Author:

MUHAMMAD ASIM IMRAN, MUHAMMAD ADNAN SHAHID, MUHAMMAD SAFDAR, SHERAZ MAQBOOL, NOOR FATIMA, MUHAMMAD TANVEER, ZEESHAN ALI

DOI Number:

DOI:10.5281/zenodo.12697301

Published : 2024-07-10

About the author(s)

1. MUHAMMAD ASIM IMRAN - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan.
2. MUHAMMAD ADNAN SHAHID - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan. NCGSA- Agricultural Remote Sensing Lab (ARSL), University of Agriculture, Faisalabad, Punjab, Pakistan.
3. MUHAMMAD SAFDAR - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan. NCGSA- Agricultural Remote Sensing Lab (ARSL), University of Agriculture, Faisalabad, Punjab, Pakistan.
4. SHERAZ MAQBOOL - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan.
5. NOOR FATIMA - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan.|
6. MUHAMMAD TANVEER - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan.
7. ZEESHAN ALI - Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Punjab, Pakistan.

Full Text : PDF

Abstract

Wheat is a staple food crop in Pakistan. Pakistan is the fifth largest producer of wheat in the world. In May 2023, the wheat yield in Faisalabad district was recorded as very high, at 5.4 tons per hectare. This was significantly higher than the national average of 3.5 tons per hectare. This study used remote sensing data to map the distribution of wheat crop in Faisalabad district in May 2023. The data was acquired from Sentinel-2, a free and open-source platform for accessing Sentinel data. The data was preprocessed to remove clouds and other atmospheric effects, and then converted to a common coordinate system and resampled to a common resolution. The following indices were calculated: Leaf Area Index (LAI), Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Vegetation Index (MNDVI), Soil Adjusted Vegetation Index (SAVI), Green Enhanced Vegetation Index (GEMI), and Optimized Soil Adjusted Vegetation Index (OSVI). The results showed that the study area had a total biomass of 10,000 kg/ha. Most of the biomass was found in areas with wheat crops. The study also found that the area of wheat crops in Faisalabad district increased by 521sq km between March and May 2023. This is likely due to the favorable weather conditions and the use of good-quality seeds and fertilizers by farmers. The findings of this study suggested that remote sensing can be used to map the distribution of wheat crops and to monitor changes in wheat production over time. The study also suggests that the factors that contribute to high wheat yields in Faisalabad district are favorable weather conditions, the use of good quality seeds and fertilizers, and good agricultural practices.


Keywords

Wheat, Faisalabad district, Sentinel-2, Remote sensing, NDVI, Yield, Biomass, Weather conditions.