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International Conference on

Recent Trends in Environmental Sustainability

ESCON22/SAgri/29
Remote sensing frameworks for crop water consumption studies in rice under rice-
wheat cropping system

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Samra Tariq , Muhammad Mubeen , Mazhar Ali , Hafiz Muhammad Rashad Javeed , Sajjad
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Hussain , Muhammad Imran , Aaiza Shawal1, Aqsa Arshad , Nabeel Akram , Sadia Afzal ,
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Sidra Mehtab Zahra , Tanveer Ahmad , Mirza Waleed
Department of Environmental Sciences, COMSATS University Islamabad, Vehari- Campus,
61100 Pakistan
Correspondence: samratariq204@gmail.com
Abstract
Rice is a very important grain crop and is intensively cultivated as rice-wheat cropping system
in Pakistan. Remote sensing (RS)-based satellites are used to estimate water use for irrigation
and its workability for resource optimization. Normalized difference vegetation index (NDVI)
data are designed to evaluate various irrigated soils with green biomass in the study area. A
major increase in NDVI is reflected in the early stages of growth, whereas decrease in NDVI
is called as end of growing season. A detailed analysis of NDVI, land surface temperature
(LST) and Emissivity by using data of remote sensing in complicated irrigated basins delivers
whole profile for improved water resource planning and management. The estimation of
consumptive water use through NDVI, LST and emissivity served as input in Soil Energy
Balance Algorithm for Land (SEBAL). Using RS data, this study tries to deliver complete land
use maps of the district Vehari region (Tehsils Burewala, Vehari, Mailsi) of Pakistan from 2005
to 2020 to detect changes in LST, NDVI and emissivity. Various indicators were used to
evaluate equity, adequacy, and responsibility. Wheat and rice crop domination regions were
assessed by using the crop classification technique and Landsat, NDVI 250 m resolution. Our
results showed that all three tehsils (Vehari, Mailsi and Burewala) showed decrease in
vegetation cover from 2005 to 2020. The study shows that all these study areas faced rise in
temperature which has resulted in increased crop water requirement of rice crop. Using this
information, for rice, crop-specific ETa can be screened out and this data may be employed
with crop yield to estimate crop water production (CWP) in Southern Punjab. The vegetation
area from 2005 to 2020 has been decreasing while building area has been increasing from 2005
to 2020.

Keywords: Performance assessment; Crop classification; NDVI; Water management; Crop
water productivity

Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus

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