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All Journal BUNGAMPUTI Jurnal Penginderaan Jauh Indonesia Jurnal Review Pendidikan dan Pengajaran (JRPP) Idea Pengabdian Masyarakat Jurnal Kolaboratif Sains Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Borneo Community Health Sevice Journal Journal of Hulonthalo Service Society An Idea Nursing Journal Sahabat Sosial: Jurnal Pengabdian Masyarakat International Journal of Health Sciences Jurnal RIVDA Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Febrianti, Nur
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Journal : Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital

 1 
ANALISIS POTENSI BANJIR DI SAWAH MENGGUNAKAN DATA MODIS DAN TRMM (STUDI KASUS KABUPATEN INDRAMAYU) Febrianti, Nur; Domiri, Dede Dirgahayu
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 1 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i1.3258

Abstract

The occurrence of flooding in paddy field may cause the decrease of total production. To increase the food sufficiency within the country, the monitoring of flood affected paddy field is very important to be implemented. The satellite imagery is one of tools for monitoring the flooding area. In this study; we used remotely sensed data from MODIS (Moderate Resolution Imaging Spectroradiometer) and TRMM (Tropical Rainfall Measuring Mission) for January 2011 and January 2012, respectively. The district of Indramayu was selected as the study site due to one of the center of the rice production. The flood frequency method was utilized to estimate the flood duration. Some assumption used in this study, i.e.: (i) the assumed to be wetland rained rice. (ii) Rice fields are assumed in the flat. (iii) The rainfall exceeds the crop water demand will be potentially because the floods, (iv) The rainfall have large impact causing flooding when compare to index vegetation greenness. The calculation of the flood potential did known that the equation used compelling enough because it has been in accordance with actual flood events. The class of potential flooding were identifying as a class of height severe flooding. The calculation of flood frequency in January 2011 showed that there had been flooding up to 4 times a month. Besides, there is 18,400 ha that has four times frequency of flooding, respectively and requires to be aware crop failures occurred in both conditions. The condition on January 2012 was in a safe because floods occurred only one time. The extensive flooding of rice fields in Indramayu district January 2012.
ESTIMASI LIMPAHAN PERMUKAAN DARI DATA SATELIT UNTUK MENDUKUNG PERINGATAN DINI BAHAYA BANJIR DI WILAYAH JABODETABEK Sofyan, Parwati; Febrianti, Nur; Prasasti, Indah
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 1 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i1.3299

Abstract

The study about runoff estimation based on soil moisture conditions was conducted using remote sensing data i.e., Landsat and Tropical Rainfall Measurement Mission during flood period January – February 2013 in Jakarta and its souroundings area. The Landsat data used to analyze the landcover/landuse which one of the basin characteristics. In this study, the TRMM has ability for representing the regional rainfall as 62.5 %. The Curve Number-Soil Conservation Service (CN-SCS) method was used in this study to estimate the runoff. The results of runoff estimation was shown in hydrograph unit in order to know when the flood will occur. The antecedent soil moisture condition in wet condition showed the best hydrograph unit. It had the peak point in January 17th 2013 exactly same with the time flood occurred in Jakarta and the souroundings area. This model has a good potential to be used as a flood early warning system. Spatially, the overall accuracy of the flood identification in Jakarta region compared with the flood map produced by Disaster Management Berau was 43 % with the producer’s accuracy 96 %, and user’s accuracy 42 %.
MODEL ESTIMASI TINGGI MUKA AIR TANAH LAHAN GAMBUT MENGGUNAKAN INDEKS KEKERINGAN Febrianti, Nur; Murtilaksono, Kukuh; Barus, Baba
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2018.v15.a2867

Abstract

The Ground Water Level plays an important role in determining the greenhouse gas emission and, in turn, in regulating global climate system. Information on existing water levels is still using field measurements. The purpose of this study was to evaluate the best approximation model for estimating water level using drought index. This study utilizes Landsat 8 data to calculate Normalized Difference Water Index and Visible and Shortwave infrared Drought Index for 3 months (March, April and June 2016). The best estimation model is selected by the Akaike Information Criteria correction method and validated using K-Fold cross-validation. The results of this study indicate that the estimation of water level is affected by both drought indices with the TMA (mm) equation = -439,47 – 1639,7 * NDWI_Maret – 640,23 * NDWI_April + 477 * VSDI_Maret. Estimated water level began to detect hotspots ranging from 64,35 ± 36,9 6 cm (27 - 101 cm). The critical point for KHG Sei Jangkang - Sei Liong is 27 cm, thus the water level depth should be maintained less than that to avoid fire in peatlands.
PENGARUH TINGGI MUKA AIR GAMBUT SEBAGAI INDIKATOR PERINGATAN DINI BAHAYA KEBAKARAN DI SUNGAI JANGKANG - SUNGAI LIONG Febrianti, Nur; Murtilaksono, Kukuh; Barus, Baba
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.v16i1.3346

Abstract

Disasters of forest and land fires are increasingly concerned. The nature of peat soil which is easy to lose water and high organic matter content causes peat soils to be very sensitive to fire. Therefore it is necessary to know indicators for early warning of fires on peatlands. The purpose of this study is to determine the critical groundwater level (GWL) as an indicator of peatland fires on the Jangkang River - Sungai Liong. Determination of the critical point of peatland fires as a fire early warning is done by calculating the difference from the value of the undefined TMA with a range of possible errors. The TMA value is obtained from the estimation of several methods, namely data on the physical properties of the soil, the drought index, and a combination of both. The TMA estimation of the physical properties of the soil has a range of fires at depths of 74.3 - 107 cm. In estimating TMA using a drought index, potential fires occur in TMA ranging from 27 - 101 cm. While the combined estimates of the physical properties of the soil and the drought index ranged from 66.8 - 98.8 cm the occurrence of fires on peatland. The results of this study show that the estimated TMA from a combination of field data and drought index provides fairly good accuracy. Thus TMA can be an early warning indicator of the danger of peatland fires. This TMA estimation can give faster results and pretty good accuracy. But this estimation model for TMA does not necessarily apply directly to other research locations. The critical point of peat soil water depth ranges from 27 to 74 cm. The depth of the peatland surface should be maintained less than the critical point, if not then the potential for peatland fires will increase.
Co-Authors Achmad, Viyan Septiyana Aditia, Donny Agustian Albertus Ata Maran Andi Alim, Andi Andrias Horhoruw, Andrias Anisa Annuar, Haerul Aprilia Handayani Ariananda Marada, Yunansi Aripa, Lusyana Asrum, Muhammad Baba Barus Buyandaya Buyandaya Bunga Cahyu Kitae Dede Dirgahayu Domiri, Dede Dirgahayu DEWI SARTIKA Dunggio, Abdul Rivai Saleh ebu, fahira Edi Pakaya, Rahma Ervan, Ervan Fitriani Fitriani Fredesman, Muhammad Gofar, Aang Abdul Hadija I, Iwan Indah Prasasti, Indah Iriani, indri Irman Irman Jaya, Rachmad Kadang, Yulta Kukuh Murtilaksono Malaha, Naomi Masdarwati, Masdarwati Mato, Sulisnawati Mohammad Arifin Noor Muhammad Asrum Nabillah , Lily Nadia, Azalia Prihatini, Surya putri, Nurul tri R, Rabiah R, Rosita R. Rusli Rabiah Rabiah Rabiah Rahakbauw, Grenny Zovianny Rahma Edy Pakaya Rahmi, Khalifah Insan Nur Rambu, Sitti Herliyanti Rasmita, Dina Rosida Rosida Rosita Rosita Rosita S, Kasmawati S, Surianto Samila, Samila Sastrawijaya, Herry Setyaningsih, Rahayu Sofyan, Parwati Sri Yulianti Subroto, Desty Endrawati Tahir, Syaiful Vierdiana , Dyah Wahidin Wahidin Witria, Esi YOLANDA NGABITO