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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Geoid - Journal of Geodesy and Geomatics
Inggit Lolita Sari, Inggit Lolita
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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PEMETAAN DAERAH RAWAN LONGSOR DENGAN PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS (STUDI KASUS : KAWASAN HUTAN LINDUNG KABUPATEN MOJOKERTO) Nugroho , Jefri Ardian; Sukojo , Bangun Muljo; Sari, Inggit Lolita
GEOID Vol. 5 No. 2 (2010)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v5i2.1297

Abstract

Bencana alam sebagai salah satu fenomena alam dapat terjadi setiap saat, dimanapun dan kapanpun, sehingga dapat menimbulkan kerugian material dan imaterial bagi kehidupan masyarakat. Bencana longsor adalah salah satu bencana alam yang sering mengakibatkan kerugian harta benda maupun korban jiwa dan menimbulkan kerusakan sarana dan prasarana lainnya yang bisa berdampak pada kondisi ekonomi dan sosial. Bencana tanah longsor yang terjadi di tahun 2002 dan 2007 pada kawasan hutan lindung di Kabupaten Mojokerto disebabkan oleh intensitas curah hujan yang tinggi dan banyaknya kawasan hutan gundul yang menyebabkan air hujan tidak bisa terserap pada kawasan tersebut. Sehingga jatuh membawa material bukit. Untuk itu dilakukan pemetaan daerah yang rawan terhadap bahaya longsor dengan menggunakan teknologi penginderaan jauh dan Sistem Informasi Geografis. Data penginderaan jauh yang digunakan dalam penelitian ini adalah citra satelit SPOT 4 tahun 2008, ditunjang data lain; peta jenis tanah Kabupaten Mojokerto skala 1:100000 tahun 2006, data curah hujan tahun 2006, peta kawasan hutan Kabupaten Mojokerto skala 1:100000 tahun 2001, peta geologi Kabupaten Mojokerto tahun 2006 skala 1:100000 dan data SRTM Dalam pengolahan citra SPOT 4 ini didapatkan hasil koreksi geometrik dengan nilai rata-rata RMS error sebesar 0,603 dan nilai SOF sebesar 0.000136. Adapun metode yang digunakan dalam analisa ini adalah melakukan proses tumpang susun (overlay), yaitu dengan meng-overlay beberapa peta parameter (peta jenis tanah, peta curah hujan, peta tutupan lahan, peta kemiringan, peta ketinggian) dan memberikan pengharkatan (skor) pada masing-masing kriteria dari peta parameter tersebut Hasil dari penelitian ini memperlihatkan kawasan hutan lindung Kabupaten Mojokerto memiliki tingkat kerawanan longsor rendah (13,28 Ha) kerawanan longsor sedang (177,24 Ha) dan kerawanan longsor tinggi (427,15 Ha.)
ANALISIS PENINGKATAN KUALITAS GEOMETRI DENGAN MENGGUNAKAN TITIK IKAT BUNDLE ADJUSTMENT (STUDI KASUS DATA PLEIADES WILAYAH KABUPATEN MADIUN DAN KABUPATEN MAGETAN) Sari, Inggit Lolita; Brahmantara, Randy Prima
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v16i1.3347

Abstract

Recently, the utilization of very high spatial resolution data such as Pleaides has reached at a high demand. Particularly to support disaster mitigation, where automation and fast image processing are necessary and unavoidable. Pleiades imagery has been acquired at LAPAN ground station starting in 2018. This study examines the improvement of the Pleiades images geometry accuracy processed using the bundle adjustment (BA) method in order to support image mosaicking where case study is located in the Madiun regency and the Magetan regency. This method uses parameters to relate the geometry between scenes by using tie points. These points are located in the intersection area between scenes. Geometry quality assessment of the imagery produced using BA correction are measured by comparing between the coordinate of the imagery and the coordinates obtained from the field measurement. The assessment shows that BA geometry correction has improved the geometry quality of the images which nearly similar to the field measurement and achieved a better geometry accuracy compare to the images processed without BA method.
EVALUASI REHABILITASI LAHAN KRITIS BERDASARKAN TREND NDVI LANDSAT-8 (Studi Kasus: DAS Serayu Hulu) Kartika, Tatik; Dirgahayu, Dede; Sari, Inggit Lolita; Parsa, I Made; Carolita, Ita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 2 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v16i2.3353

Abstract

The use of remote sensing in vegetation monitoring has been widely applied, including vegetation density monitoring. However, the use to evaluate rehabilitation program on critical land is still limited. Evaluation of forest cover and land rehabilitation activities become important due to the increase of critical land. The current method to evaluate the land condition is conducted by ground check at the rehabilitation site held at the end of the year after the initial implementation of the rehabilitation program until the third year. This method requires a lot of time, labour, and money. Based on the standard regulation to evaluate the rehabilitation program, the program is successful if 90% the new vegetation planted can grows until the third year. Therefore, this research uses an effective and efficient method for evaluating land rehabilitation programs using remote sensing data by understanding vegetation conditions and their densities using multi-temporal analysis for large areas. A multi-temporal Landsat-8 images from 2015-2018 will be used to analyze the Normalized Difference Vegetation Index (NDVI) trend in the time-based sequence method using spatial analysis. The results show that the non-forest area in Serayu Hulu Watershed consist of non-critical land, moderate critical land, critical land, and severe ciritical land. According to the ground check and NDVI trend analysis, the rehabilitation in non-critical land of the non-forest area was generally unsuccessful due to the area rehabilitation plant were harvested before the rehabilitation evaluation time ended. On the otherhand, on critical land; moderate critical land; and severe critical land of the non-forest area, the success of rehabilitation program was indicated by the achievement of the NDVI threshold value at 0.4660; 0.4947. 0.4916, respectively.
Analisis Perubahan Tutupan Lahan dari Citra TerraSAR-X Menggunakan Metode Analisis Texture dan Segmentasi di Jakarta Dyatmika, Haris Suka; Sari, Inggit Lolita; Muchsin, Fadila; Indriasari, Novie; Budiono, Marendra Eko
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 No. 1 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v17i1.3360

Abstract

Rapid urban growth in Jakarta is indicated by the increases of building area, such as settlements, roads, commercial and others. Identification of land cover extent and its changes is a vital data for urban planning. One method for land cover mapping and its changes is obtained by the utilization of remote sensing data that characterize as having a continuity data, covers a vast area, and cost-effective. Remote sensing data can be obtained from optical and radar imagery. Radar data importance for mapping land cover and land cover changes because radar data does not constrain by time and weather. In early 2018, the TerraSAR-X (TSX) data can be acquired at the LAPAN Parepare ground station. This research uses the TSX Stripmap image mode with a spatial resolution of 3 m in 2010 and 2013. The TSX data will be used to map the land cover and land cover changes in Jakarta using method of the texture analysis and image segmentation. The accuracy assessment of the map will be assessed visually and quantitatively using the Pleiades images (0.5 m) and Google Earth images. The results show that the TSX images detect the current developments of settlements, new roads construction and provide information on the loss of green open space in Jakarta.
Co-Authors Brahmantara, Randy Prima Dede Dirgahayu Haris Suka Dyatmika, Haris Suka I Made Parsa Ita Carolita, Ita Marendra Eko Budiono, Marendra Eko Muchsin, Fadila Novie Indriasari, Novie Nugroho , Jefri Ardian Sukojo , Bangun Muljo Tatik Kartika, Tatik