Indah Prasasti, Indah
Pusat Pemanfaatan Penginderaan Jauh Lembaga Penerbangan dan Antariksa Nasional

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ANALISIS HUBUNGAN CURAH HUJAN DAN PARAMETER SISTEM PERINGKAT BAHAYA KEBAKARAN (SPBK) DENGAN KEJADIAN KEBAKARAN HUTAN DAN LAHAN UNTUK MENENTUKAN NILAI AMBANG BATAS KEBAKARAN Itsnaini, Nur; Sasmito, Bandi; Sukmono, Abdi; Prasasti, Indah
Jurnal Geodesi Undip Volume 6, Nomor 2, Tahun 2017
Publisher : Jurusan Teknik Geodesi

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Abstract

ABSTRAKKebakaran adalah salah satu penyebab terjadinya degradasi hutan dan lahan di Indonesia. Dampak dan kerugian dari kebakaran tersebut menunjukkan perlunya suatu upaya pencegahan. Sistem Peringkat Bahaya Kebakaran (SPBK) atau Fire Danger Rating System(FDRS) adalah suatu sistem informasi peringatan dini kebakaran hutan dan lahan.SPBK memberikan masukan terhadap keputusan yang berkaitan dengan pengelolaan kebakaran hutan dan lahan menggunakan indeks cuaca kebakaran atau Fire Weather Index(FWI) sebagai parameternya. Parameter tersebut berupa data iklim antara lain data suhu, kelembaban relatif, kecepatan angin dan curah hujan.Penelitian ini bertujuan untuk mengetahui hubungan curah hujan dan parameter SPBKyaitu FFMC, DC dan FWI terhadap kejadian kebakaran dan untuk mendapatkan nilai ambang batas curah hujan. Metode yang digunakan dalam penelitian ini adalah melakukan ekstraksi dan perhitungan akumulasi nilai curah hujan dan rerata parameter SPBK dengan titik kejadian kebakaran sebagai pusat grid. Penetapan nilai ambang batas curah hujan terbagi menjadi 4 periode waktu yaitu nilai ambang batas curah hujan 7 hari, 30 hari, 60 hari dan 90 hari sebelum kebakaran. Nilai ambang batas tersebut diuji dengan melakukan pembuatan wilayah potensi terhadap bencana kebakaran hutan dan lahan di Provinsi Sumatera Selatan.Hasil penelitian didapatkan bahwa parameter curah hujan dan parameter SPBK memiliki korelasi dengan kejadian kebakaran. Kemudian penetapan nilai ambang batas curah hujan terhadap kejadian kebakaran dengan mengambil tingkat kepercayaan minimal 80% didapatkan rentang sebagai berikut: nilai curah hujan 7 hari sebelum kejadian kebakaran sebesar 0,000 mm -47,501 mm; 30 hari sebelum kejadian kebakaran sebesar 0,000 mm -63,335 mm; 60 hari sebelum kejadian kebakaran sebesar 0,022 mm -409,001 mm dan 90 hari sebelum kejadian kebakaran sebesar 0,0822 mm -538,381 mm.Berdasarkan nilai ambang tersebut didapatkan sebaran wilayah potensi kebakaran hutan dan lahan Provinsi Sumatera Selatan tiap periode waktu.Kata Kunci: Curah Hujan, Kebakaran, Nilai Ambang Batas, Parameter SPBK  ABSTRACTFire is one of the causesof land and forest degradation in Indonesia. The impacts and the losses caused by the fire need for a prevention actions. Fire Danger Rating System (FDRS) is an early warning system for forest and land fire. Fire Danger Rating System give aninput to determine the decision for the management of forest and land fire using Fire Weather Index (FWI) as the parameter. That contains climate data such as temperature, relative humidity, wind speed, andprecipitation.The aim of this research to find out the relation between precipitation and FDRS parameters which are FFMC, DC and FWI towards the forest fires and to get the precipitation threshold value towards the forest fires and land incident. The method used in this research to perform the extraction and calculation of accumulated precipitation, and mean value SPBK parameters with fire spot as the center of point grid. Determination of the precipitation threshold values were divided into four periods which are the precipitationthreshold value7 days, 30 days, 60 days and 90 days before the fire. The threshold values were tested by implementing them on forest and land fire potential areas in South Sumatra province.The research resultshows that precipitation parameters and FDRS parameters have a correlation with the incident of fire. Then, the result of the determination of threshold of precipitation values towards the fire incident by taking the least confidence level of 80% are: values of precipitation 7 days prior to the occurrence of the fire is 0,000 mm - 47,501 mm; 30 days prior to the occurrence of the fire is 0,000 mm -63,335 mm; 60 days prior to the occurrence of the fire is 0,022 mm -409,001 mm and 90 days prior to the occurrence of the fire is 0,822 mm -538,381 mm. The threshold values are then used to determine areas forest and land fire potential in South Sumatra Province each period of time.Keywords: Precipitation, Fire, Threshold, FDRS Parameters
PENENTUAN POTENSI LAHAN UNTUK TANAMAN KEDELAI DAN CENGKIH DARI DATA LANDSAT TM DAN IKLIM DI KABUPATEN BANYUWANGI DENGAN SISTEM INFORMASI GEOGRAFIS Parwati, Ety; Prasasti, Indah; Effendy, Iskandar
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 1, No.1 Juni (2004)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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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.
THE EFFECT OF ENVIRONMENTAL CONDITION CHANGES ON DISTRIBUTION OF URBAN HEAT ISLAND IN JAKARTA BASED ON REMOTE SENSING DATA Prasasti, Indah; Suwarsono, .; Sari, Nurwita Mustika
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 1 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2015.v12.a2670

Abstract

Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI). This phenomenon can be monitored by observing the air temperature measured by climatological station, but the scope is relatively limited. Therefore, the utilization of remote sensing data is very important in monitoring the UHI with wider coverage and effective. In addition, the remote sensing data can also be used to map the pattern of changes in environmental conditions (microclimate). This study aimed to analyze the effect of changes in environmental conditions (land use/cover, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build-up Index (NDBI)) toward the spread of the urban heat island (UHI). In this case, the UHI was identified from pattern changes of Land Surface Temperature (LST) in Jakarta based on data from remote sensing. The data used was Landsat 7 in 2007 and Landsat 8 in 2013 for parameter extraction environmental conditions, namely: land use cover, NDVI, NDBI, and LST. The analysis showed that during the period 2007 to 2013, there has been a change in the condition of the land use/cover, impairment NDVI, and expansion NDBI that trigger an increase in LST and the formation of heat islands in Jakarta, especially in the area of business centers, main street and surrounding area, as well as in residential areas.
DROUGHT AND FINE FUEL MOISTURE CODE EVALUATION: AN EARLY WARNING SYSTEM FOR FOREST/LAND FIRE USING REMOTE SENSING APPROACH Vetrita, Yenni; Prasasti, Indah; Haryani, Nanik Suryo; Priyatna, M; Khomarudin, M Rokhis
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 9, No 2 (2012)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1841

Abstract

This study evaluated two parameters of fire danger rating system (FDRS) using remote sensing data i.e. drought code (DC) and fine fuel moisture code (FFMC) as an early warning program for forest/land fire in Indonesia. Using the reference DC and FFMC from observation data, we calculated the accuracy, bias, and error. The results showed that FFMC from satellite data had a fairly good correlation with FFMC observations (r=0.68, bias=7.6, and RMSE=15.7), while DC from satellite data had a better correlation with FFMC observations (r=0.88, bias=49.91, and RMSE=80.22). Both FFMC and DC from satellite and observation were comparable. Nevertheless, FFMC and DC satellite data showed an overestimation values than that observation data, particularly during dry season. This study also indicated that DC and FFMC could describe fire occurrence within a period of 3 months before fire occur, particularly for DC. These results demonstrated that remote sensing data can be used for monitoring and early warning fire in Indonesia.
DETECTING THE LAVA FLOW DEPOSITS FROM 2018 ANAK KRAKATAU ERUPTION USING DATA FUSION LANDSAT-8 OPTIC AND SENTINEL-1 SAR Suwarsono, NFn; Prasasti, Indah; Nugroho, Jalu Tejo; Sitorus, Jansen; Triyono, Djoko
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 15, No 2 (2018)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2018.v15.a3078

Abstract

The increasing volcanic activity of Anak Krakatau volcano has raised concerns about a major disaster in the area around the Sunda Strait. The objective of the research is to fuse Landsat-8 OLI (Operational Land Imager) and Sentinel-1 TOPS (Terrain Observation with Progressive Scans), an integration of SAR and optic remote sensing data, in observing the lava flow deposits resulted from Anak Krakatau eruption during the middle 2018 eruption. RGBI and the Brovey transformation were conducted to merge (fuse) the optical and SAR data.  The results showed that optical and SAR data fusion sharpened the appearance of volcano morphology and lava flow deposits. The regions are often constrained by cloud cover and volcanic ash, which occurs at the time of the volcanic eruption.  The RGBI-VV and Brovey RGB-VV methods provide better display quality results in revealing the morphology of volcanic cone and lava deposits. The entire slopes of Anak Krakatau Volcano, with a radius of about 1 km from the crater is an area prone to incandescent lava and pyroclastic falls. The direction of the lava flow has the potential to spread in all directions. The fusion method of optical Landsat-8 and Sentinel-1 SAR data can be used continuously in monitoring the activity of Anak Krakatau volcano and other volcanoes in Indonesia both in cloudy and clear weather conditions.
DETEKSI AREA BEKAS KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN DATA CITRA RESOLUSI MENENGAH MODIS DENGAN PENDEKATAN INDEKS KEBAKARAN Hanifah, Mirzha; Syaufina, Lailan; Prasasti, Indah
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 6, No 1 (2016): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.6.1.77

Abstract

This research examined the use of fire index algorithms to detect and recognize the burnt area in West Kalimantan by applying the pre-fire and post-fire image comparison technique.  The main data used were derived from remotely sensed data MODIS acquired from Januari to April 2014.  The examined algorithms utilized the near-infrared (NIR) and short-infrared (SWIR) wavelength spectrums.  in the case of forest and land fires, occured the value of NIR decreases as the amount of chlorophyll decrease, while the pixel values and the inceasing value of SWIR will increase due to the rising temperature.  The research objective was to the capability of the algorithms in detecting burnt forest and land areas in several selected areas in West Kalimantan, using few indices generated from MODIS data.  The examined indices were NDFI (Normalized Difference Fire Index) and MNDFI (Modified Normalized Difference Fire Index), which utilize the reflectance values of band 2 (NIR) and band 7 (SWIR) from MODIS.  The study results show that both the NDFI and MNDFI were applicable in detecting burnt area having good performance with the Normalize Distance (D) values larger than 1.  Based on D-Value and accuracy assessment, MNDFI algorithm gave better index than the NDFI in detecting both forest and land areas.
PENGKAJIAN PEMANFAATAN DATA TERRA-MODIS UNTUK EKSTRAKSI DATA SUHU PERMUKAAN LAHAN (SPL) BERDASARKAN BEBERAPA ALGORITMA Prasasti, Indah; Ari Sambodo, Katmoko; Carolita, Ita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 4, No.1 Juni (2007)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Land surface temperature (LST) is one primary parameters energy balance on the surface and also as primary climatology variable that controlling long-wave energy flux through atmosphere. The LST data is needed for drought estimating models which based on calculating of soil moisture lavel and/or evapotranspiration. TERRA satellite that brings sensor MODIS (Moderate Resolution Imaging Spectroradiometer) is an evironmental. Observation satellite that can be used for extracting LST data regionally. The MODIS relatively has width coverage; 2330 Km, and spatial resolution 250 m (1 and 2 channel) with high spectral resolution (36 channels), and temporal resolution that almost similar to the previous generation satellite called NOAA.
PEMANFAATAN CITRA VIIRS UNTUK DETEKSI ASAP KEBAKARAN HUTAN DAN LAHAN DI INDONESIA Zubaidah, Any; Sulma, Sayidah; Suwarsono, Suwarsono; Prasasti, Indah
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 4 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.4.929-945

Abstract

The observation of smoke because of land and forest fires in some regions in Indonesia mostly use the composite image visually. This study aims to develop the detection model of forest and land fire smoke using a digital analysis, which will be faster in supporting spatial information on emergency response in monitoring forest and land fire smoke. The method used is multi-threshold method and compare it with the existing model that is by modification of method Li et al. (2015). The data used is Suomi NPP-VIIRS satellite imagery. The results concluded that the VIIRS image can be used to detect the smoke and smoke distribution of forest fire and digital smoke. The multi-threshold model uses reflectance data obtained from the M4 visible channel, and the brightness temperature data obtained from the LWIR VIIRS M14 channel, with an average accuracy of 82.2% with a Commision error of 9.8% and an Ommision error of 10%. While the model of modification Li is based only on reflectance of visible-channel data i.e. channel M1, M2, M3, and SWIR VIIRS M11 channel, which has an average accuracy of 72.3% with a Commision error of 0.3% and an Ommision error of 27.4%. The multi-threshold model is a model that has the potential to be applied to detect forest and land fire smoke.
DETECTING THE AREA DAMAGE DUE TO COAL MINING ACTIVITIES USING LANDSAT MULTITEMPORAL (Case Study: Kutai Kartanegara, East Kalimantan) suwarsono, nFn; Haryani, Nanik Suryo; Prasasti, Indah; Fitriana, Hana Listi; Priyatna, M.; Khomarudin, M. Rokhis
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 2 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2017.v14.a2851

Abstract

Coal is one of the most mining commodities to date, especially to supply both national and international energy needs. Coal mining activities that are not well managed will have an impact on the occurrence of environmental damage. This research tried to utilize the multitemporal Landsat data to analyze the land damage caused by coal mining activities. The research took place at several coal mine sites in East Kalimantan Province. The method developed in this research is the method of change detection. The study tried to know the land damage caused by mining activities using NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), NDWI (Normalized Difference Water Index) and GEMI (Global Environment Monitoring Index) parameter based change detection method. The results showed that coal mine area along with the damage that occurred in it can be detected from multitemporal Landsat data using NDSI value-based change detection method. The area damage due to coal mining activities  can be classified into high, moderate, and low classes based on the mean and standard deviation of NDSI changes (ΔNDSI). The results of this study are expected to be used to support government efforts and mining managers in post-mining land reclamation activities.
ANALISIS HUBUNGAN KODE-KODE SPBK (SISTEM PERINGKAT BAHAYA KEBAKARAN) DAN HOTSPOT DENGAN KEBAKARAN HUTAN DAN LAHAN DI KALIMANTAN TENGAH Prasasti, Indah; Boer, Rizaldi; Ardiansyah, Muhammad; Buono, Agus; Syaufina, Lailan; Vetrita, Yenni
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 2, No 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.101

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Land and forest fire is one of causes ofland degradation in Central Kalimantan. Remote sensing dataapplications, especially READY-ARL NOAA and CMORPH data, are benefit forthe available climate observation data. The objectives of this research are: (1) to analyzis relationship between hotspots, FDRS and occurences of land and forest fire, and (2) to develop the estimation model of burned area from hotspot and FDRS codes. The result of this research showed that burned area can not be estimated by using number of hotspots. The drought code (DC) wich is one of FDRS codes has correlation with burned area. So, burned area can be estimated using drought code (DC) (R-sq = 58%) by using the following formula: Burned Area (Ha) = -62.9 + 5.14 (DC – 500).Keywords: land and forest fire, NOAA, CMORPH, hotspot