Open AccessApplication of Full Polarimetric ALOS PALSAR for Land Cover Mapping In Sleman District
Author(s) -
Like Indrawati
Publication year - 2019
Publication title -
promine/promine
Language(s) - English
Resource type - Journals
eISSN - 2620-7737
pISSN - 2354-7316
DOI - 10.33019/promine.v6i1.934
Subject(s) - land cover , polarimetry , cohen's kappa , remote sensing , interpretation (philosophy) , key (lock) , cover (algebra) , geography , land use , cartography , forestry , computer science , engineering , machine learning , civil engineering , mechanical engineering , physics , computer security , optics , scattering , programming language
The simplest way to interpret polarimetric imagery for land cover classification is to use visualinterpretation methods. The existence of interpretations key as a tool for visual interpretation becomesimportant when different interpreters can produce different results. The quality of the results of theinterpretation of land cover is then determined by the quality of the interpretation tool, in this case, thekey to the interpretation of land cover. The purpose of this study was to make the key to land coverclass interpretation in the Full Polarimetric ALOS PALSAR image, then the interpretation key wasused for reference in making land cover maps and measuring the accuracy of the results of the visualinterpretation. The image used in this study consisted of HH, VV, HV and VH bands. The location ofthe study was in parts of Sleman District. The analysis is done visually by on-screen digitizing onALOS Palsar composite HH + VV HV + VH HH-HV image, which is then interpreted key. The truetest is done by means of the overall accuracy test and Kappa. Visually, ALOS PALSAR imagery isable to distinguish 12 land cover classes in the research area, namely built land, rice fields, mixedgardens, moorlands, salak garden, grass, forest, shrubs, open land, airports, water bodies and lavawith 83% Overall accuracy, and 78% Kappa accuracy.