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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Sukentyas Estuti Siwi
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Computer Science & IT Earth & Planetary Sciences

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PENINGKATAN RESPONSE DAN LOAD TIME DALAM MENAMPILKAN CITRA SATELIT PENGINDERAAN JAUH PADA APLIKASI WEB GIS SISTEM PEMANTAUAN BUMI PROVINSI Rubini Jusuf; Gusti Darma Yudha; Masnita Indriani Oktavia; Sukentyas Estuti Siwi; Destriyanti Hutapea; Syaiful Muflichin Purnama; Rahmat Rizkiyanto
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 2 Desember 2018
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1567.094 KB) | DOI: 10.30536/j.pjpdcd.2018.v15.a3013

Abstract

Sistem Pemantauan Bumi Provinsi (SPBP) LAPAN disediakan untuk memenuhi kebutuhan pemerintah daerah terhadap pengelolaan dan pendistribusian data informasi geospasial penginderaan jauh dan data geospasial tematik. Pemetaan GIS (Geographic Information System) melalui Web atau dengan Web GIS menjadi salah satu cara untuk menampilkan dan mendistribusikan data citra satelit secara online. Web GIS ini dibangun untuk memberikan kemudahan dan kecepatan akses oleh pengguna. Kecepatan mengakses data Web Map Service (WMS) pada sistem SPBP dirasa cukup lambat seiring dengan peningkatan volume data diproses. Penelitian ini bertujuan meningkatkan performa Web GIS dalam menanggapi permintaan pengguna dan kecepatan menampilkan data (load time) mosaik Landsat 8 dan SPOT 6/7. Objek pengujian pada penelitian ini adalah citra wilayah Provinsi Kepulauan Riau. Uji performa dilakukan dengan membandingkan beberapa ukuran tile map antara metode Web Map Tile Service (WMTS) dan manual tiling sebagai solusi menggantikan sistem WMS. Hasil pengukuran respon permintaan penggunan pada sistem WMTS dan manual tiling menunjukkan perbedaan yang tidak signifikan. Tetapi tile map WMTS jauh lebih cepat dalam menampilkan data mosaik yang mencapai angka rata-rata kurang dari 3 detik. Berdasarkan hasil penelitian ini Web GIS dengan metode WMTS menjadi basis pengembangan SPBP, dalam rangka optimalisasi kecepatan akses data citra mosaik Landsat 8 dan SPOT 6/7.
EVALUATION OF SPOT-5 IMAGE FUSION USING MODIFIED PAN-SHARPENING METHODS Sukentyas Estuti Siwi
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 11, No 2 (2014)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1124.613 KB) | DOI: 10.30536/j.ijreses.2014.v11.a2609

Abstract

Image fusion, commonly known as pan-sharpening, is a method that combines two data: a panchromatic image that has geometric detail information with the highest spatial resolution and multi-spectral image that has the highest color information but with the lowest resolution. Pan-sharpeningis very important for various remote sensing applications, such as to improve the image classification, to change the detection using temporal data, to increase the geometric, image segmentation, and to improve the visibility of certain object that does not appear on certain data. This study aims to compare the existing pan-sharpening methods such as Brovey, Brovey modification using green and red band, Gram-Schmidt, HPF, Multiplicative, and SFIM.The quality of the pan-sharpening result should be evaluated, this study used Universal Image Quality Index (UIQI/Q index); this evaluation methodgives the opportunity to choose which method is best to provide the most similar spectral information with the original multispectral image. A pan-sharpening qualitative analysis shows that there has been a sharpening process on all pan-sharpening images. Based on spectral visualization (color display), several pan-sharpening methods such as HPF multiplicative method provides brighter colorsand Brovey transformation method displays dark colors. Gram-Schmidt method also provides a different color from the original multispectral image. A pan-sharpening quantitative analysis shows that the best pan-sharpening method with UIQI value> 0.9 is Brovey modification using green and red band. This is due to the green band (500-590 nm) and the red band(610-680 nm) wavelength are in the panchromatic band (480-710 nm) of the SPOT-5 Data. 
EVALUATION OF SPOT-5 IMAGE FUSION USING MODIFIED PAN-SHARPENING METHODS Sukentyas Estuti Siwi
International Journal of Remote Sensing and Earth Sciences Vol. 11 No. 2 (2014)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2014.v11.a2609

Abstract

Image fusion, commonly known as pan-sharpening, is a method that combines two data: a panchromatic image that has geometric detail information with the highest spatial resolution and multi-spectral image that has the highest color information but with the lowest resolution. Pan-sharpeningis very important for various remote sensing applications, such as to improve the image classification, to change the detection using temporal data, to increase the geometric, image segmentation, and to improve the visibility of certain object that does not appear on certain data. This study aims to compare the existing pan-sharpening methods such as Brovey, Brovey modification using green and red band, Gram-Schmidt, HPF, Multiplicative, and SFIM.The quality of the pan-sharpening result should be evaluated, this study used Universal Image Quality Index (UIQI/Q index); this evaluation methodgives the opportunity to choose which method is best to provide the most similar spectral information with the original multispectral image. A pan-sharpening qualitative analysis shows that there has been a sharpening process on all pan-sharpening images. Based on spectral visualization (color display), several pan-sharpening methods such as HPF multiplicative method provides brighter colorsand Brovey transformation method displays dark colors. Gram-Schmidt method also provides a different color from the original multispectral image. A pan-sharpening quantitative analysis shows that the best pan-sharpening method with UIQI value> 0.9 is Brovey modification using green and red band. This is due to the green band (500-590 nm) and the red band(610-680 nm) wavelength are in the panchromatic band (480-710 nm) of the SPOT-5 Data.Â
Co-Authors Destriyanti Hutapea Gusti Darma Yudha Masnita Indriani Oktavia Purnama, Syaiful Muflichin Rahmat Rizkiyanto Rubini Jusuf