PJB-2018-340
REAL TIME ESTIMATION OF WHEAT CHLOROPHYLL CONTENT RETRIEVE FROM LANDSAT 8 IMAGERY IN DISTRICT CHAKWAL
SYED SHAH MOHIOUDIN GILLANI
Abstract
Monitoring crop bio-physical properties non-destructively can provide a rapid and accurate understanding of its response to various environmental influences. Crop chlorophyll content is an important indicator of crop health and therefore estimation of crop yield. The present research assessed the potential of high resolution satellite imagery to predict wheat chlorophyll content coupled with ground-based information for accurately monitoring crop chlorophyll status under rainfed condition in Chakwal district. The cloud free scenes of LANDSAT 8 were acquired during the same time when ground-truthing campaign was performed. Vegetation indices including Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Chlorophyll Absorbed Ratio Index (CARI), Modified Chlorophyll Absorbed Ratio Index (MCARI) and Transformed Chlorophyll Absorbed Ratio index (TCARI) were derived by LANDSAT 8 imagery for chlorophyll determination. Validation of the chlorophyll contents were performed (43 locations under rainfed condition) nondestructively using chlorophyll meter (SPAD-502 Minolta) along with GPS positions during Mid-March, 2014 for wheat crop. The regressional analysis was performed between ground-truthing data and satellite derived vegetation indices for assessing the accuracy. MCARI and NDVI were revealed to be sensitive indices for assessing wheat chlorophyll content with highest coefficient of determination R2 = 0.80 and 0.81 respectively. The results suggested that use of high spatial resolution satellite imagery for the retrieval of crop chlorophyll contents provides an accurate and quick assessment of crop health status at a larger scale which will help in managing crop nutrition requirement in real time.
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