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AOSM2022: Remote sensing application for evapotranspiration and crop growth estimation in Corn and Grape fields in Southern Ontario
Section 1: Publication
Authorship or Presenters
Nur Hussain, M. Altaf Arain
Remote sensing application for evapotranspiration and crop growth estimation in Corn and Grape fields in Southern Ontario
Hydrology and Terrestrial Ecosystems
Nur Hussain, M. Altaf Arain (2022). Remote sensing application for evapotranspiration and crop growth estimation in Corn and Grape fields in Southern Ontario. Proceedings of the GWF Annual Open Science Meeting, May 16-18, 2022.
Section 2: Abstract
Plain Language Summary
The Study related to Water energy balance of different crops, there is a link to GWF.
Evapotranspiration (ET) is one of the main influencing factors in the water balance of crop ecosystems. This study focuses on the application of remote sensing (RS) data to estimate ET and crop growth in corn and grape fields in southern Ontario. Sentinel-2 high-resolution (10 m) satellite-derived land surface albedo, Enhanced Vegetation Index (EVI), Normal Difference Vegetation Index (NDVI), Normal Difference Water Index (NDWI), Vegetative Water Content (VgWC), Leaf Area Index (LAI), and Gross Primary Production (GPP) are used to evaluate crop growth and water use. Atmospheric and radiometric corrections are applied to drive traditional Vegetation Indices (VIs) and test empirical models for this study. LAI is estimated by applying the PROSAIL, a widely used coupled PROSPECT and SAIL radiative transfer model, considering their correctness for retrieving biophysical and biochemical components for agricultural crops. GPP is estimated by using the Land Surface Energy Balance (LSEB) model utilizing the Light Use Efficiency (LUE). The Penman-Monteith energy balance equation is used to estimate ET through the Surface Energy Balance Algorithm in the Land (SABLE) model. Eddy Covariance (EC) flux measurements of GPP and ET are also utilized to validate the study results. This study will help to explore the energy and water balances, different crop characteristics and crop water stress in changing environments, especially due to extreme weather events. The result of this study will help to enhance crop yields and develop agricultural management, drought mitigation and crop water stress reduction strategies.
Keywords: Evapotranspiration, Water balance, Energy balance, Remote Sensing, Crop water stress, PROSPECT model, Agriculture.
Section 3: Miscellany
McMaster University, PhD Candidate
First Author: Nur Hussain, PhD Candidate. School of Geography and Earth Sciences and McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, L8S 4L8, Canada
Additional Authors: M. Altaf Arain, Professor, School of Geography and Earth Sciences and McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, L8S 4L8, Canada.
Section 4: Download
T-2022-04-24-G1rmDQCDG1ukG22qZTSYdYoTg Conference Publication 1.0