Water Stress Detection As An Indicator Of Red Palm Weevil Attack Using Worldview-3 Data
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)(2017)
摘要
This study focuses for the first time on the water stress detection and discrimination among different stages of red palm weevil (RPW) stress-attacks using water stress indices (WSI) and linear and second order polynomial statistical analysis. Different WSI were assessed using new technology Worldview-3 (WV-3) simulated data. Based on field identification, five palm tree classes were considered: dead, severely attacked, attacked-untreated, attacked-treated; and healthy trees. Spectral measurements were acquired over each sample using Analytical Spectral Devices (ASD). They were resampled and convolved using WV-3 spectral response profiles and the Canadian radiative transfer code (CAM5S). Results showed that the indices NDWI, SRWI, SIWSI-1, SIWSI-2 and NDII are sensitive to palm trees water agitation caused by RPW attacks. They discriminated among the considered classes with excellent R-2 values (approximate to z95%) using second order polynomial function (p < 0.05). Nevertheless, they express the water content dynamic range about only 10% to 55%. New Palm Tree Water Stress Index (PTWSI) were proposed using WV-3 SWIR bands. They differentiated among the considered classes with R-2 of 90%, and enhanced significantly water content dynamic range for a maximum about 90% or 100%. According to these first results, it was concluded that remote sensing science using WV-3 data is a promising alternative for RPW detection based on WSI.
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关键词
Date palm trees, red palm weevils, water stress, spectral indices, ASD, Worldview-3
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