Citra resolusi tinggi SPOT 6/7 sangat bermanfaat untuk rencana tata ruang wilayah, monitoring, perencanaan dan pengawasan dalam suatu daerah. Indonesia merupakan negara kepulauan yang sangat luas. Untuk itu diperlukan suatu mosaik citra yang dapat digunakan untuk memantau wilayah yang cukup luas ini. Keberadaan citra SPOT 6/7 yang sangat banyak pada setiap tahun memungkinkan LAPAN untuk membuat citra mosaik seluruh Indonesia. Penelitian ini bertujuan untuk menghasilkan mosaik citra SPOT 6/7 dengan tutupan awan minimal sehingga banyak informasi yang dapat diperoleh untuk membantu pemerintah dalam mengambil suatu kebijakan. Dalam penelitian ini diperkenalkan metode yang disebut sebagai LAPAN 8-Steps. Metode ini dikembangkan berdasarkan model Mosaic Tile Based (MTB) dan menggunakan algoritma haze index sehingga dapat menghasilkan mosaik citra SPOT 6/7 dengan tutupan awan minimal. Ukuran tile yang digunakan pada penelitian ini adalah 0.1×0.1 degree. Selain dapat mempersingkat waktu pembuatan mosaik citra SPOT 6/7, metode ini juga efisien dalam penggunaan memori penyimpanan dan sumber daya manusia.
The standard data of Worldview-2 owned by LAPAN is Ortho-Ready Standard level 2 (OR2A) data consisting of 4 multispectral bands (blue, green, red, NIR) and one panchromatic band each 2 m and 0,5 m spatial resolution. Both images have different metadata and RPC, making it possible to perform geometric corrections separately. This paper discusses the analysis of the inaccuracies of multispectral image positions to panchromatic images compared to those that have been systematically geometric corrected. The method used is fast fourier transform phase matching by taking 500 binding points between the two images. The measurement results prove that the multispectral image of the Worldview-2 data of the OR2A level has a larger shift compared with multispectral image that has been systematically geometric corrected. The multispectral image of the OR2A data shifts are 2,14 m on the X-axis and 0,42 m on the Y-axis. While the multispectral image that has been systematically geometric corrected shifts are 1,72 m on the X-axis and 0,54 m on the Y-axis.ABSTRAKData standar Worldview-2 yang dimiliki oleh LAPAN merupakan data Ortho-Ready Standard level 2 (OR2A) yang terdiri dari 4 kanal multispektral (biru, hijau, merah, NIR) dan satu kanal pankromatik masing-masing memiliki resolusi spasial 2 meter dan 0,5 meter. Kedua kanal tersebut memiliki metadata dan RPC yang berbeda, sehingga memungkinkan untuk melakukan koreksi geometrik secara terpisah. Tulisan ini membahas tentang analisis misalignment citra multispektral terhadap citra pankromatik dibandingkan dengan yang telah terkoreksi geometrik sistematik. Metode yang digunakan adalah fast fourier transform phase matching dengan mengambil 500 titik ikat antara kedua citra tersebut. Hasil pengukuran membuktikan bahwa citra multispektral data Worldview-2 level OR2A memiliki pergeseran yang lebih besar dibandingkan dengan citra multispektral yang terkoreksi geometrik sistematik. Citra multispektral data OR2A bergeser 2,14 meter pada sumbu X dan 0,42 meter pada sumbu Y. Sedangkan citra multispektral data terkoreksi geometrik sistematik bergeser 1,72 meter pada sumbu X dan 0,54 meter pada sumbu Y.
This study proposes a new model for flood inundation modeling using the Raster-based Probability Flood Inundation Model (RProFIM) approach. The flood modeling was carried out based on the landuse/landcover (LULC) change scenario and the difference in return periods in the study area. The aims of this study were: a) to estimate the volume of discharge in the LULC change scenario between 1990 and 2050 and the difference in return periods between 2 and 100 years; b) to create and produce flood inundation maps using the RProFIM approach; and c) to analyse flood damage assessment based on the results provided by overlaying LULC data with flood inundation maps. In general, the flood probability modeling generated by RProFIM provided the same pattern and conditions it was shown by reference data. The results found several potential areas in Citarum watershed, West Java-Indonesia which are likely to be flooded based on the RProFIM approach in the Districts of Margaasih, Kutawaringin, Margahayu, Katapang, Dayeuhkolot, and Baleendah. Flood damage assessment by the flood scenario with a return period of 2–100 years and changes in LULC in the range of 1990–2050, shows that the largest estimated loss based on market value is on built-up land and agriculture. This research is expected to be used as one of the considerations in managing environmental problems in overcoming flooding in the study area.
This study proposes a new model for ood inundation modeling using the Raster-based Probability Flood Inundation Model (RProFIM) approach. The ood modeling was carried out based on the landuse/landcover (LULC) change scenario and the difference in return periods in the study area. The aims of this study were: a) to estimate the volume of discharge in the LULC change scenario between 1990 and 2050 and the difference in return periods between 2 and 100 years; b) to create and produce ood inundation maps using the RProFIM approach; and c) to analyse ood damage assessment based on the results provided by overlaying LULC data with ood inundation maps. In general, the ood probability modeling generated by RProFIM provided the same pattern and conditions it was shown by reference data. The results found several potential areas in Citarum watershed, West Java-Indonesia which are likely to be ooded based on the RProFIM approach in the Districts of Margaasih, Kutawaringin, Margahayu, Katapang, Dayeuhkolot, and Baleendah. Flood damage assessment by the ood scenario with a return period of 2-100 years and changes in LULC in the range of 1990-2050, shows that the largest estimated loss based on market value is on built-up land and agriculture. This research is expected to be used as one of the considerations in managing environmental problems in overcoming ooding in the study area.
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