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ANALISIS PERUBAHAN CURAH HUJAN SATELIT TROPICAL MEASURING MISSION (TRMM) TAHUN 2009 DAN TAHUN 2010 Zubaidah, Any
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

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Abstract

The utilization of a combination of sensor data PR (Precipitation Radar) and TMI (TRMM Microwave Imager) satellite carriedby the TRMM (Tropical Rainfall Measuring Mission) can be used to analyze the characteristics and mechanisms of rainfall in tropicalregions. It was applied in the territory of Indonesia. The aim of this study was to analyze the rainfall of TRMM data in 2009 and 2010in order to understand each characteristic and phenomenon that occurs. TRMM data that were used was type of 3B43.. The researchmethod that applied included a search pattern of spatial and temporal rainfall obtained from the processing of TRMM rainfall data.The results showed that the rainfall data in 2009 and 2010 from TRMM satellite monitoring is able to represent the rainfall conditionsduring extreme conditions in the territory of Indonesia, either at the time of El Niño and La Niña. In 2009 occurred the phenomenonof El Nino, while the year 2010 was phenomenon of La Nina.
DINAMIKA SIKLON TROPIS DI ASIA TENGGARA MENGGUNAKAN DATA PENGINDERAAN JAUH Haryani, Nanik Suryo; Zubaidah, Any
MAJALAH ILMIAH WIDYA 2012
Publisher : MAJALAH ILMIAH WIDYA

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Abstract

Tropical cyclone is the form of extreme weather disturb. The growth of tropical cyclone is originated by tropical depressionor the center of an intensive low pressure above the ocean, triggering convection process and the intensive forming of cloud. Theaim of the research is to obtain the information of the extreme weather condition in the form of tropical depression and tropicalcyclones particularly the movement location of tropical cyclones and the influence coverage area in Indonesia. This method usedobservation and analyzing the impact of tropical cyclones in Indonesia area, and mapping its position based on latitude and longitudeof cyclone Centrum. The result of tropical cyclone monitoring in 2010 shows that tropical cyclone in Southern Indonesian area orIndian Ocean lasted in January, part of March and December 2010. Meanwhile, the tropical cyclone in Northern Indonesian areaon South China Sea and West Pacific was lasted in April , May, July, August, September, October, November and part of March 2010.Tropical cyclone on March 2010 did not show an orderly pattern. On May 2010, the tropical cyclones are simultaneously happen inthe northern and southern of Indonesia. In 2010 the concentration of tropical cyclone is heavily taken place in northern part ofIndonesia.
KAPASITAS INDEKS LAHAN TERBAKAR NORMALIZED BURN RATIO (NBR) DAN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DALAM MENGIDENTIFIKASI BEKAS LAHAN TERBAKAR BERDASARKAN DATA SPOT-4 Parwati, Parwati; Zubaidah, Any; Vetrita, Yenni; Yulianto, Fajar; DS, Kusumaning Ayu; Khomarudin, M Rokhis
GEOMATIKA Vol 18, No 1 (2012)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1996.976 KB) | DOI: 10.24895/JIG.2012.18-1.193

Abstract

Pada penelitian ini, kapasitas indeks Difference Normalyzed Burn Ratio (dNBR) dan indeks Difference Normalized Vegetation Index (dNDVI)  sebagai indeks lahan terbakar telah dianalisis untuk mengidentifikasi lahan bekas terbakar di wilayah Provinsi Riau berdasarkan data SPOT-4. Baik dNBR maupun dNDVI merupakan selisih antara indeks NBR atau NDVI sebelum terjadi kebakaran (pre-fire) dengan sesudah terjadi kebakaran (post-fire). Data time-series SPOT-4 yang digunakan adalah periode Juli 2009, Oktober 2010, Maret 2011, Juni 2011 dan Juli 2011. Hasil analisis menunjukkan bahwa nilai ekstraksi NDVI atau NBR pada kondisi pre-fire mempunyai nilai yang lebih tinggi dibandingkan dengan lahan pada kondisi post-fire. Umumnya hal tersebut menunjukkan adanya perubahan dari tingkat kehijauan vegetasi yang tinggi menjadi rendah. Berdasarkan hasil verifikasi di lapangan (Agustus 2011), ternyata pada lahan bekas terbakar indeks dNBR (0.42) menunjukkan nilai yang lebih tinggi dibandingkan dengan dNDVI (0.19). Sementara di lokasi pembukaan lahan/hutan tanpa membakar, indeks dNDVI (0.53) lebih tinggi dibandingkan dNBR (0.05). Hal tersebut membuktikan bahwa indeks dNBR sangat sensitif dalam mengidentifikasi lahan bekas terbakar yang menghandalkan spektrum radiasi Shortwave Infrared (SWIR) yang peka terhadap rendahnya kadar air di lahan bekas terbakar. Sementara indeks dNDVI lebih cocok digunakan untuk mendeteksi perubahan lahan dari vegetasi ke non vegetasi tanpa membakar.Kata Kunci : SPOT-4, lahan bekas terbakar, dNBR, dNDVI, Riau ABSTRACTIn this study, Difference Normalyzed Burn Ratio (dNBR) and Difference Normalized Vegetation Index (dNDVI) derived from SPOT-4 images were analyzed for identifying burn scar in Riau Province.The dNBR and dNDVI are the differences between NBR or NDVI in pre-fire condition and in post-fire condition. The time-series SPOT-4 images used in this study  have accusition month onJuly2009, October 2010, March 2011, June 2011, and July 2011. Results show that both NDVI and NBR have higher values in pre-fire rather than in post-fire condition. Generally, it shows the change in green vegetation level from high in vegetation cover to lower level in burnt area. However, by referring to field survey data (August 2011), the dNBR (0.42) shows higher value than the dNDVI (0.19) in burnt area. The indices were also applied in opened land/forest without burning activity which showed higher dNDVI (0.53) values rather than dNBR (0.05). Therefore, it has been proved that the dNBR index is more suitable to identify burnt area which has Shortwave Infrared (SWIR) spectrum that is more sensitive to moisture content in burnt area. Meanwhile the dNDVI could be used to identify forest changes to non forest cover without burning activitiy.Key Words : SPOT-4, burn scar, dNBR, dNDVI, Riau
PEMANTAUAN KEJADIAN BANJIR LAHAN SAWAH MENGGUNAKAN DATA PENGINDERAAN JAUH Moderate Resolution Imaging Spectroradiometer (MODIS) DI PROVINSI JAWA TIMUR DAN BALI Zubaidah, Any; Dirgahayu, Dede; Pasaribu, Junita Monika
Jurnal Ilmiah Widya Vol 1 No 1 (2013)
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah III Jakarta

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Abstract

This paper discussed about the utilization of MODIS and TRMM satellite data to monitor flood in paddy field. The purpose of this research is to improve the quality of provision spatial information of flood prone area in the paddy field in East Java and Bali Province which can be done periodically (monthly) based on remote sensing data. Data used in this research is Terra/Aqua MODIS (Moderate Resolution Imaging Spectoradiometer) on November and December 2011 on 8 daily period, rainfall data which is obtained from TRMM data in the same period on November and December 2011, standard extensive field and administration map of East Java and Bali province. The method which is used in this research is to combine EVI (Enhance Vegetation Index) with rainfall data in the same period in order to obtain flood prone area, which is classified into 5 classes, namely non flood, mild, moderate, heavy, and very heavy.
PENGINDERAAN JAUH UNTUK PEMANTAUAN KEKERINGAN LAHAN SAWAH Zubaidah, Any; Dirgahayu, Dede; Pasaribu, Junita Monika
Jurnal Ilmiah Widya Vol 2 No 1 (2014)
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah III Jakarta

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Abstract

Information of drough condition, especially in the paddy field is much needed in order to manage food availability in a certain area. Drough monitoring in paddy field can be generated by using MODIS and TRMM data. The purpose of this paper is to show spatial information of drough prone condition in the paddy field in East Java Province especially on July – September 2011. Data used in this paper is Terra/Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) and TRMM data in the same period on July – September 2011, standard extensive field and administration map of East Java Province. The method which is used in this paper is combining EVI (Enhance Vegetation Index) with LST (Land Surface Temperature) to obtain ETP (Potential Evapotranspiration) and make Meteorologist and Agronomist Drough parameter. Furthermore, processing of reflectance data was done to calculate Hydrologist Drough parameter. After that, this drough condition was classified into five class, namely non dry, mild, moderate, heavy and puso (crop failure).
SPECTRAL ANALYSIS OF THE HIMAWARI-8 DATA FOR HOTSPOT DETECTION FROM LAND/FOREST FIRES IN SUMATRA Hana Listi Fitriana; Sayidah Sulma; nFN suwarsono; Any Zubaidah; Indah Prasasti
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 15, No 1 (2018)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1110.454 KB) | DOI: 10.30536/j.ijreses.2018.v15.a2836

Abstract

Himawari-8 is the last generation of the low spatial resolution satellite imagery that has capability to detect the thermal variation on the earth of every 10 minute. This must be very potential to be used for detecting land/forest fire. This paper has explored the spectral prospective of the Himawari-8 for detecting land/forest fire hotspot. The main objective for this study is to identify the potential use of Himawari-8 for detecting of land forest fire hotspot. The study area was performed in Ogan Komering Ilir, South of Sumatra, which on 2015 occur great forest/land fire event. The main process included in this study are image projection, training sample collection and spectral statistical analysis measured by calculate statistic, they are average values, standard deviation values from reflectance visible band value and brightness temperature value, beside that validation of data obtained from medium resolution data of Landsat 8 with the similar acquisition time. The study found that the Himawari-8 has good capacity to identify land/forest fire hotspot as expressed for high accuracy assessment using band 3 and band 7.
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 : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, 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.
DISTRIBUSI SPASIAL HOT SPOT DAN SEBARAN ASAP INDIKATOR KEBAKARAN HUTAN/LAHAN DI PULAU SUMATERA DAN KALIMANTAN TAHUN 2002 Zubaidah, Any; Arief , Muchlisin
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.v1i1.3091

Abstract

Forest/land fire in Indonesia occurs almost every year. Itis merely due to natural factor, but due to human's activity as well like in opening of new land for agriculture purpose or plantation, or forming of land/land clearing. Fire that is indicated by the existenceof hot spot can be monitored daily using near infra-red channel and thermal (channel 3 and 4) from NOAA-AVHRR satellite data (National Oceanic and Atmospheric Radiometer-Advanced Very High Resolution Radiometer). Pursuant to the daily hot spot monitoring in Sumatera in the year 2002, forest/land fire has occurred since January until December, while in Kalimantan, it start in March until December. The fluctuation of hot spot in the year 2002 has almost the same pattern with the year 1997's, where the peak of fire occurred in September in Kalimantan Island and in October in Sumatera Island. Besides, pursuant to NOOA and Feng Yun data, haze distribution that occurred in the year 2002 was not too significant and haze distributions that mostly took place in September in Kalimantan and in October in Sumatera. Degradation of fire activity occurs in the following month where the fire in the two island drop along with the increasing of rainfall in the two island.
MODEL BAHAYA BANJIR MENGGUNAKAN DATA PENGINDERAAN JAUH DI KABUPATEN SAMPANG Haryani, Nanik Suryo; Zubaidah, Any; Dirgahayu, Dede; Yulianto, Hidayat Fajar; Pasaribu, Junita
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.v9i1.3259

Abstract

Flood is the first biggest disaster in Indonesia, as stated by the National Disaster Management Agency (BNPB) in the BNPB’s natural disaster data of year 2000 to 2009. Considering the flood has the significant impact of causing the casualties and material losses, it is necessary to study on it. One of useful data for studying the flood is remote sensing data. The advantage of good historical data makes it possible to see the changes of cover/land use from year to year in a region. The extensive area coverage of remote sensing data allows it to view and analyze in a comprehensive manner. The method of the study of flood hazard models is using multiple variables, where each variable has a class of criteria. Determination of the weight of each flood variable by using the Composite Mapping Analysis. The results of this study shows the main cause of flooding in the District of Sampang is that most of the land system in the cities are the combined estuary and swamp plain, forming a low land and is triggered by the torrential rain. The model of flood hazard maps produced by variable weighting floods with a multi criteria analysis method which is function of rainfall, landuse, slope, land system and elevation.
ANALISIS PEMANFAATAN DAN VALIDASI HOTSPOT VIIRS NIGHTFIRE UNTUK IDENTIFIKASI KEBAKARAN HUTAN DAN LAHAN DI INDONESIA Zubaidah, Any; Vetrita, Yenni; Priyatna, M.; Ayu D., Kusumaning
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v12i1.3310

Abstract

Suomi National Polar-Orbiting Partnership (Suomi NPP) that was launched on 28 October 2011 was a new generation of weather satellites of NASA. It has been continuing to develop algorithms for environmental monitoring applications including fire hotspot which is a global product. Therefore, an evaluation for the specific region is necessary. This paper is aimed to validate the VIIRS Nightfire (VNF) in Indonesia, particularly in Riau Province. MODIS fire hotspot (MOD 14) nighttime was used as well as a comparison. Statistical analysis was performed to calculate the precise location of hotspots at 1 and 2 km radius buffering of the detected fire. A field survey and SPOT 5 imagery which has a higher spatial resolution. Accuracy was calculated from them all the hotspots were detected in a period of 3 weeks which is adapted to the availability of SPOT 5 imagery, by considering the analysis of single and dissolve buffering. The result shows that VNF has an average accuracy rate of 84.31%. This result can be compared with the analysis of the MODIS hotspots product. Thus, VNF was very significant to be used along with MODIS hotspots, in particular for monitoring land/ forest fires at night.