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Ety Parwati
Indonesian National Institute of Aeronautics and Space (LAPAN)
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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PENENTUAN POTENSI LAHAN UNTUK TANAMAN KEDELAI DAN CENGKIH DARI DATA LANDSAT TM DAN IKLIM DI KABUPATEN BANYUWANGI DENGAN SISTEM INFORMASI GEOGRAFIS Ety Parwati; Indah Prasasti; Iskandar Effendy
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3089

Abstract

Clove and soybean are plantations that have high enough economic pontetial. Both of these commodities need suitable land climate condition to grow in optimum. The process of Remote Sensing and climate data with Geographic Information System can determine a suitable land for clove and soybean plantations. Land potential evaluation uses Land Use data that is extracted from Landsat-TM data. The land suitability level is then determined based on climate parameter (rainfall and draught period) and land physical properties for sorbean and clove in Banyuwangi Regency.
APLIKASI DATA LANDSAT DAN SIG UNTUK POTENSI LAHAN TAMBAK DI KABUPATEN BANYUWANGI Ety Parwati; Ita Carolita; Iskandar Effendy
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 1 No. 1 (2004)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v1i1.3092

Abstract

The application of Remote Sensing and Geographic Information System are used to evaluate land potential that is suitable for cultivation of fishpond. The parameter that is used in this research is the existing land use by remote sensing and analysis process, topographic/land slope,kind of land, climate data (such as; rainfall and amount of dry season). The evaluation of land potential gives 4 land suitability levels, they are 1)Suitable level:2)Rather suitable level:3)Less suitable level and:4)Non suitable level. The analysis shows that are three areas in Banyuwangi sub-province that is suitable for fishpond cultivation: they are Muncar, Rogojampi, and Pesanggrahan districts.
ANALISIS HUBUNGAN PENUTUP/PENGGUNAAN LAHAN DENGAN TOTAL SUSPENDED MATTER (TSM) KAWASAN PERAIRAN SEGARA ANAKAN MENGGUNAKAN DATA INDERAJA Ety Parwati; Bambang Trisakti; Ita Carolita; Tatik Kartika; Sri Harini; Ratih Dewanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 3 No. 1 (2006)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v3i1.3183

Abstract

Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the study area for this research. This region, like other estuaries, has a unique ecosystem which is protected and surrounded by the mangrove forest that can cause very dynamic development. In the upland, there are three big rivers flow; Citanduy, Cibeureum, and Cimeng. The main issue in this region is that the lagoon to become narrowing because of rapid sedimentation process. Landsat MSS, TM, and ETM of the years 1978, 1995, 1998, and 2003 are remote sensing data used in this research. An analysis in term of correlation between landuse/landcover changes and sedimentation was carried out by looking at their changes in the upper land especially along the rivers that have big contribution to the sedimentation in the lagoon. The result shows that there is high relation between landuse/landcover changes in the upper land and sedimentation around the lagoon.
DAMPAK PERUBAHAN KAWASAN HUTAN MENJADI AREAL INDUSTRI BATUBARA TERHADAP KUALITAS AIR DI SEPANJANG DAS BERAU–KALIMANTAN TIMUR Ety Parwati; Kadarwan Soewardi; Tridoyo Kusumastanto; Mahdi Kartasasmita; I Wayan Nurjaya
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 8 No. 1 (2011)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v8i1.3252

Abstract

The study of landused change: forest area become coal industrial area and its impact in Total Suspended Solid is done by remote sensing data. The different combination channel of remote sensing data are taken to extract landuse and Total Suspended Solid (TSS) spatial information. The supervised classification is used for land used spatial extraction and otherwise for TSS, there is a specific algorithm; TSS = 3.8926 * exp (31.417*Red Band). The result showed that there was the relationship between landuse change from forest into coal industrial, shrub, paddy field, bareland and settlement area and the dynamic change of TSS along Berau watershed.
PENGEMBANGAN METODE PENDUGAAN KEDALAMAN PERAIRAN DANGKAL MENGGUNAKAN DATA SATELIT SPOT-4. STUDI KASUS: TELUK RATAI, KABUPATEN PESAWARAN Muchlisin Arief; Maryani Hastuti; Wikanti Asriningrum; Ety Parwati; Syarif Budiman; Teguh Prayogo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 1 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i1.3267

Abstract

Bathymetric estimation of shallow water depth using satellite remote sensing data becomes more prevalent. However, when these methods are implemented for areas with different environments, the results indicate the presence of irregularities. To minimize the deviation, conducted the merger of the information obtained from field measurements with reflectance values SPOT-4 satellite imagery. This paper proposed the method development for bathymetric estimation of shallow water depth based on the correlation function between the depth value of direct measurements using a "handheld echo-sounder" to the resultant of reflectance values (band 1 and band 3). The algorithm for bathymetric estimation of a shallow water depth consists of thresholding method and correlation functions. Threshold value (T) depth of 0.5 meters is determined from observations of the correlation function graph polynomial from five and magnitude is 0.35 <T <0.47. Based on the results of the calculations show that the SPOT-4 satellite data can be used to estimate the shallow water depths up to approximately 18 meters.
PENGEMBANGAN MODEL EKSTRAKSI SUHU PERMUKAAN LAUT MENGGUNAKAN DATA SATELIT LANDSAT 8 STUDI KASUS: TELUK LAMPUNG Muchlisin Arief; Syifa W. Adawiah; Ety Parwati; Rossi Hamzah; Teguh Prayogo; Wawan K. Harsanugraha
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i2.3313

Abstract

ALGORITMA DUA DIMENSI UNTUK ESTIMASI MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT-8, STUDI KASUS: TELUK LAMPUNG Muchlisin Arief; Syifa W. Adawiah; Maryani Hartuti; Ety Parwati
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 2 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2016.v13.a2517

Abstract

Remote sensing technique is a powerful tool for monitoring the coastal zone. Optical sensors can be used to measure water quality parameters Total Suspended Matter (MPT). In order to be able to extract information MPT, the satellite data need to be validated with in situ measurements that make the relationship between the reflectance band with concentration MPT measurement results. In this model, do the correlation between the measurement results with the reflectance values band 3 and band 4. then obtained a linear equation, then calculated using the argument of a ratio of 60:75 to each of the correlation coefficient, the obtained linear equation two Dimension T (X3, X4) = 2313.77 X3 + 4741.11 X4 + 314.95. Based on the concentration MPT of dated June 3, 2015 was lower than in the west to the east. this is because the east is already contaminated with the plant, effluent solids by humans, while the west for still many floating net fish, and mangrove. Based on the results of measurement and calculation results, is still far from perfect (accuracy 60%), one factor is the value thresholding, when determining the boundary between: clouds, sea, and land. Generally indicates that the model is still in need for repair.
METODE DUAL KANAL UNTUK ESTIMASI KEDALAMAN DI PERAIRAN DANGKAL MENGGUNAKAN DATA SPOT 6 STUDI KASUS : TELUK LAMPUNG Muchlisin Arief; Syifa Wismayati Adawiah; Ety Parwati; Sartono Marpaung
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2017.v14.a2618

Abstract

Depth data can be used to produce seabed profile, oceanography, biology, and sea level rise. Remote sensing technology can be used to estimate the depth of shallow marine waters characterized by the ability of light to penetrate water bodies. One image that can estimate the depth is SPOT 6 which has three visible canals and one NIR channel with 6 meter spatial resolution. This study used SPOT 6 image on March 22, 2015. The image was first being dark pixel atmospheric corrected by making 30 polygons. The originality of this method was to build a correlation between the dark pixel value of red and green channels with the depth of the field measurement results, made on June 3 to 9, 2015. The algorithm derived experimentally consisted of: thresholding which served to separate the land by the sea and the correlation function. The correlation function was obtained: first correlating the observation value with each band, then calculating the difference of minimum pixel darkness value and minimum for red and green channel was 0.056 and 0.0692. The model was then constructed by using the comparison proportions, so that the linear equations were obtained in two channels: Z (X1, X2) = 406.26 X1 + 327.21 X2 - 28.48. Depth estimation results were for a 5-meter scale, the most efficient estimation with the smallest error relative mean occurred in shallow water depth from 20 to 25 meters, while the result of 10 meters scale from 20 to 30 meters and the estimated depth had similar patterns or could be said close to reality. This method was able to detect sea depths up to 25 meters and had a small RMS error of 0.653246 meters. Thus the two-channel method could offer a fast, flexible, efficient, and economical solution to map topography of the ocean floor.
PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI Kuncoro T. Setiawan; Gathot Winarso; Devica N. BR. Ginting; M.D.M. Manessa; Surahman Surahman; Nanin Anggraini; Maryani Hartuti; Wikanti Asriningrum; Ety Parwati
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 18 No. 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v18i1.3361

Abstract

Semi-Analytical methods for detecting bathymetry using medium resolution satellite image data is the development of methods for determining satellite-based bathymetry. This method takes into account the principle of the propagation of light waves in water and the intensity of incident light which decreases according to the increase in depth traversed. The satellite image used is SPOT 7. The image is the latest generation of SPOT satellites which have 4 multispectral channels with a spatial resolution of 6 meters. Therefore, this high-resolution image is expected to produce bathymetry in shallow marine waters more accurately. Semi-analytical methods used to detect bathymetry are Benny and Dawson's methods. This method uses a comparison of the reflectance value between deep water and shallow water by taking into account the approach of the water column attenuation coefficient and the elevation angle of the satellite. The purpose of this study is to detect bathymetry in shallow sea waters. The study area is Karimunjawa Island coastal waters, Jepara, Central Java. The data used is the SPOT 7 acquisition image dated 18 May 2017 has been analysed, in situ depth data as well as tide data. The results showed that off the three SPOT 7 channels, the depth range of 0 - 11.45 meters for the blue channel band, 0 - 10.49 meters for the green channel and 0 - 9.72 meters for the channel red. The accuracy of the bathymetry detection results from the green channel shows quite good results to a depth of less than 5 meters. Green channel parameters of the Benny Dawson algorithm used are 0.3274 for Ld, 0.8932 for Lo, attenuation coefficient of 0.823 and Cosec E '0.6311272.
Co-Authors Bambang Trisakti Devica N. BR. Ginting Gathot Winarso I Wayan Nurjaya Indah Prasasti Iskandar Effendy Ita Carolita Kadarwan Soewardi Kuncoro T. Setiawan M.D.M. Manessa Mahdi Kartasasmita Maryani Hartuti Maryani Hastuti Muchlisin Arief Nanin Anggraini Ratih Dewanti Rossi Hamzah Sartono Marpaung Sri Harini Surahman Surahman Syarif Budiman Syifa W. Adawiah Syifa Wismayati Adawiah Tatik Kartika Teguh Prayogo Tridoyo Kusumastanto Wawan K. Harsanugraha Wikanti Asriningrum Wikanti Asriningrum