Application of the Temperature-Moisture Index to the Improvement of Remote Sensing Identification Accuracy of Mangrove

Abstract

The identification accuracy of mangrove by using TM reflective bands is always low due to the similarity of spectra between mangrove and land vegetation,especially water-vegetation mixed pixels.Based on reflective and thermal infrared information in the TM images of different tide levels,the authors proposed temperature-moisture index(TMI).The analytical results show that the thermal infrared band and TMI can obviously improve the separability between mangrove and other objects based on the tide level information.The thermal infrared band and TMI can also significantly increase the classification accuracy of mangrove by using spectral angle mapping(SAM) supervised classification method in comparison with the classification features employed by other researchers.The Kappa coefficient increases by 0.14,and the commission error of mangrove class decreases by 19.9 %,suggesting that the remote sensing identification accuracy of mangrove can be improved by using the information of tide level,thermal infrared band and TMI.