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All Journal JURNAL ILMIAH GEOMATIKA Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Yenni Vetrita, Yenni
Pusat Pemanfaatan Penginderaan Jauh - LAPAN
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Mathematics

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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
EVALUASI PRODUK MODIS GROSS PRIMARY PRODUCTION PADA HUTAN RAWA GAMBUT TROPIS INDONESIA Vetrita, Yenni; Hirano, Takashi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 2 (2012)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v9i2.3264

Abstract

Gross Primary Production (GPP) estimation method was developed as one approach for calculating the amount of carbon stored in vegetation. One of the GPP products which can be operationally downloaded free of charge from Terra/Aqua MODIS (NASA satellite) is MODIS GPP product (MOD17). The examination of this product needs to be performed in several ecosystem types due to its global properties. Recently, a new version of the product has been launched, however its examination on tropical forests particularly over Indonesia has not been implemented yet. In this study, new version of MODIS GPP (MOD17A2-51) was evaluated in tropical peat swamp forest, in Central Kalimantan Province using time series and statistical analysis of field data (GPP EC). The study results show that the time series of 8-daily MODIS GPP provide a similar pattern although it has low correlation. In general, MODIS GPP tend to be underestimate either on rainy or dry season. However, an overestimate result was found during the ENSO-caused long dry season in 2002. Nevertheless, the accumulated value of GPP with seasonal consideration (dry and rainy) shows good relationship (r=0.94, RMS= 17.47, and Efficiency score= 0.68). The 2nd dry season period (August-October) shows better distribution than other periods. This study concludes that the MODIS GPP product version 51 can be used for biomass seasonal monitoring of tropical peat swamp forests in Indonesia.
VALIDASI HOTSPOT MODIS DI WILAYAH SUMATERA DAN KALIMANTAN BERDASARKAN DATA PENGINDERAAN JAUH SPOT-4 TAHUN 2012 Zubeidah, Any; Vetrita, Yenni; Khomarudin, M. Rokhis
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.v11i1.3296

Abstract

Forest/land fire indicator can be indicated by fire smoke and hotspot. Currently hotspot information has been widely used but its accuracy remains disputed. Therefore validated hotspot is needed as a proper effort of disaster management. This study aims to examine the accuracy of the hotspot as an indicator of forest fire/land from two data sources, namely IndoFire Map Service (IndoFire) and Fire Information for Resource Management System (FIRMS-NASA). Validation is done by comparing the data hotspot with a higher resolution image, i.e. SPOT-4 for 2012. The results show that the value of hotspot FIRMS acquired by 42% with error of 20% Commissioned 38% Omission error. Furthermore, analysis showed slightly better accuracy by 66% with 19% commission error and 18% error omission for FIRMS data compared to IndoFire ID using 46% with 19% commission error and 20% omission error. The value of confidence level of hotspot is very much affected by smoke and haze that is detected by the method of MODIS algorithm which is very sensitive to the condition of the environment. The results indicate that the accuracy of hotspot data can be considered for use in the field as a warning for forest fire, but should be considered for the data with a confidence level greater than 80%.
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.
Co-Authors Any Zubaidah Ayu D., Kusumaning Fajar Yulianto Kusumaning Ayu DS, Kusumaning Ayu M Rokhis Khomarudin, M Rokhis M. Priyatna, M. M. Rokhis Khomarudin, M. Rokhis Parwati, Parwati Takashi Hirano Zubeidah, Any