Assessing the Potential of LAPAN-A3 Data for Landuse/landcover Mapping
| Main Authors: | Zylshal, Zylshal, Wirawan, Rachmad, Kushardono, Dony |
|---|---|
| Other Authors: | Remote Sensing Applications Center |
| Format: | Article info Pixel-based application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Geography, Universitas Gadjah Mada
, 2018
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| Subjects: | |
| Online Access: |
https://journal.ugm.ac.id/ijg/article/view/31449 https://journal.ugm.ac.id/ijg/article/view/31449/pdf https://journal.ugm.ac.id/ijg/article/downloadSuppFile/31449/3476 https://journal.ugm.ac.id/ijg/article/downloadSuppFile/31449/3477 |
Daftar Isi:
- LAPAN-A3 / LAPAN-IPB is the third generation of micro-satellite developed by Indonesian National Institute of Aeronautics and Space (LAPAN). The satellite carries a multispectral push-broom sensor that can record the earth's surface at the visible and near-infrared spectrum. Being launched in June 2016, there has no been many publications related to the use of LAPAN-A3 multispectral data for landuse/landcover (LULC) mapping. This paper aims to provide information regarding the use of LAPAN-A3 data for the LULC extraction maximum likelihood algorithm as well as neural network and then evaluate the results. The LAPAN-A3 image was geometrically corrected by using Landsat-8 OLI image as reference data. Three test areas with a size of 1200x945 pixels are then selected for pixel-based classification with the two aforementioned algorithms. For comparison, both LAPAN-A3 and Landsat-8 data were classified for 3 test areas. Accuracy assessment was performed on both datasets using manually interpreted SPOT-6 Pansharpened image as reference data. Preliminary results showed that LAPAN-A3 were able to extract 10 different LULC classes, comprises of built-up area, forest, rivers, fishponds, shrubs, wetland forests, rice fields, sea, agricultural land, and bare soil. The overall accuracy of LAPAN-A3 data is generally lower than Landsat-8, which ranges from 49.76% to 71.74%. These results illustrate the potential of LAPAN-A3 data to derive LULC information. The lack of necessary parameters to perform radiometric correction and blurring effect are several issues that need to be solved to improve the accuracy LULC.