Version 1
: Received: 11 April 2024 / Approved: 11 April 2024 / Online: 11 April 2024 (10:03:23 CEST)
How to cite:
Abuzar, M.; Sheffield, K.; McAllister, A. Feasibility of Using SWIR Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover. Preprints2024, 2024040803. https://doi.org/10.20944/preprints202404.0803.v1
Abuzar, M.; Sheffield, K.; McAllister, A. Feasibility of Using SWIR Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover. Preprints 2024, 2024040803. https://doi.org/10.20944/preprints202404.0803.v1
Abuzar, M.; Sheffield, K.; McAllister, A. Feasibility of Using SWIR Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover. Preprints2024, 2024040803. https://doi.org/10.20944/preprints202404.0803.v1
APA Style
Abuzar, M., Sheffield, K., & McAllister, A. (2024). Feasibility of Using SWIR Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover. Preprints. https://doi.org/10.20944/preprints202404.0803.v1
Chicago/Turabian Style
Abuzar, M., Kathryn Sheffield and Andy McAllister. 2024 "Feasibility of Using SWIR Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover" Preprints. https://doi.org/10.20944/preprints202404.0803.v1
Abstract
(1) Background: A simple approach to map irrigated landcover has been introduced by using measures derived from optical spectral range as an alternative to thermal range. It has been demonstrated that substituting surface temperature (Ts, ‘thermal approach’) with SWIR transformed reflectance (STR, ‘optical approach’) to detect surface moisture is feasible with comparable results. (2) Methods: Using an iterative thresholding procedure to minimize within-class variance, the bilevel segmentation of variables derived from Landsat-8 representing surface moisture and vegetation cover was achieved for the 2020-21 summer for a key irrigation district in Australia. (3) Results: The results of irrigated landcover by optical approach found to be comparable with those by thermal approach. The classification accuracy was assessed using water delivery records at farm level. Though the overall accuracy is high in both cases, the optical approach (97.6%) performed slightly better than the thermal approach (93.9%). (4) Conclusions: The feasibility of using STR to map irrigated landcover has been confirmed by a high-level overall accuracy assessment. This has broader implications in terms of irrigated landcover assessment, as the use of satellite imagery in these applications may not necessarily be limited to microwave or thermal sensors.
Keywords
Irrigated landcover; thresholding method; Central Goulburn District
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
