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Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis

Erten, Esra; Taşkın, Gülşen and Lopez-Sanchez, Juan M. (2019). Selection of PolSAR Observables for Crop Biophysical Variable Estimation With Global Sensitivity Analysis. IEEE Geoscience and Remote Sensing Letters, 16(5) pp. 766–770.

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The role of global sensitivity analysis (GSA) is to quantify and rank the most influential features for biophysical variable estimation. In this letter, an approximation model, called high-dimensional model representation (HDMR), is utilized to develop a regression method in conjunction with a GSA in the context of determining key input drivers in the estimation of crop biophysical variables from polarimetric synthetic aperture radar data. A multitemporal Radarsat-2 data set is used for the retrieval of three biophysical variables of barley: leaf area index, normalized difference vegetation index, and Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie stage. The HDMR technique is first adopted to estimate a regression model with all available polarimetric features for each biophysical parameter, and sensitivity indices of each feature are then derived to explain the original space with a smaller number of features in which a final regression model is established. To evaluate the applicability of this methodology, root-mean square and coefficient of determination were performed under different amounts of samples. Results highlight that HDMR can be used effectively in biophysical variable estimation for not only reducing computational cost but also for providing a robust regression.

Item Type: Journal Item
Copyright Holders: 2019 IEEE
ISSN: 1545-598X
Project Funding Details:
Funded Project NameProject IDFunding Body
Not Set39807Scientific Research Projects Coordination of Istanbul Technical University
Not SetMGA-2018-41152Spanish Ministry of Economy, Industry and Competitiveness
Not SetTEC2017-85244-C2-1-PEuropean Funds for Regional Development (FEDER)
Not SetNot SetState Agency of Research (AEI)
Keywords: Agriculture; global sensitivity analysis (GSA); polarimetry; Radarsat-2; synthetic aperture radar
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Space
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Item ID: 58982
Depositing User: Esra Erten
Date Deposited: 04 Feb 2019 09:10
Last Modified: 27 Jan 2020 06:03
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