Found 4 Documents

Satellite Monitoring of Small-scale Farming Systems in Subang, Indonesia Trisasongko, Bambang H.; Panuju, Dyah R.; S. Iman, La Ode
Journal of Mathematical and Fundamental Sciences Vol 44, No 1 (2012)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2358.122 KB) | DOI: 10.5614/itbj.sci.2012.44.1.6


Rice fields in Java, Indonesia have been in tremendous threat due to land policy weaknesses. In order to ensure food supply, satellite-based monitoring scheme has been chosen to accommodate quick data acquisition for agriculture planning. Nonetheless, detailed rice field map is lacking and it should be taken in consideration. WorldView-2 has the highest ground resolution to date, which is suitable to construct new rice distribution map in Indonesia. This paper shows that panchromatic data of the sensor have capability in identification of fragmented rice fields and clearly showed galengans. Red edge and Coastal bands introduced by WorldView-2 were found substantial to rice growth discrimination. In addition, various rice growth periods were detectable which helped to create of rice status map at appropriate accuracy.
Jurnal Lanskap Indonesia Vol. 4 No. 2 (2012): Jurnal Lanskap Indonesia
Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.802 KB) | DOI: 10.29244/jli.2012.4.2.%p


City development in Indonesia, especially in East Jakarta has affected the changing of land use. The increasing of physical building at the city has positively affected to the increasing economic activities. Besides, it has caused environmental degradation. One form of environmental degradation is decreasing of green open space which is turning into built-up area. This research aims: to identify the pattern of green open space change, to know the population growth?s rate and regional development in East Jakar-ta, and to assess factors affecting the green open space change. The result showed that in 2002, the green open space in East Jakarta was 830,6 ha and in 2007 it increased into 1.056,7 ha. Between the period of 2002 and 2007 there was an increasing about 226,1 ha. Population growth?s rate from 2002 until 2008 in East Jakarta was 0.9% per year, and inmigrant growth?s rate in the same period was 0.7% per year. The re-gional development was showed by the appearance of developed facilities including education, health and economic facilities. Growth rate of education, health and eco-nomic facilities in the period of 2003 and 2006 are -1.5%, 6.4% and 1.1 per year, re-spectively. Based on scalogram analysis, most of the kelurahan (town villages) in East Jakarta are belong to hierarchy III. In 2003, there were 40 kelurahan classified as hier-arcy III, 18 kelurahan as hierarchy II, and 7 kelurahan as hierarchy I. In 2006, the number of kelurahan grouped as hierarchy III decreased into 35 kelurahan, while at hierarchy II and I increased into 19 and 11 kelurahan, respectively. The most affecting factors (p-level ? 0.05) to the green open space change are availability of unoccupied area. Meanwhile, the potential affecting factor (p-level ? 0.1) to the green open space change is the increasing number of health facilities.Keywords: Area Development, Availability of Empty Area, Citizen Growth, Green Open Space
Simulation on the Use of LOSAT Data for Rice Field Mapping Trisasongko, Bambang H.; Panuju, Dyah R.; Tjahjono, Boedi; Barus, Baba; Wijayanto, Hari; Raimadoya, Mahmud A.; Irzaman, Irzaman
Makara Journal of Technology Vol 14, No 2 (2010)
Publisher : Directorate of Research and Community Services, Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.915 KB) | DOI: 10.7454/mst.v14i2.187


Since the launch of LAPAN-TUBSAT satellite in 2007, Indonesia has been developing mission on earth observation missions for various applications. The next generation mission, called LAPAN-ORARI Satellite (LOSAT), is currently under development and expected to be launched in 2011. In order to facilitate the applications, a thorough assessment of the sensor should be made. This paper presents an examination of simulated LOSAT data for rice monitoring and mapping purposes coupled with QUEST statistical tree. We found that three-band simulated LOSAT data were suitable for the task with reasonably high accuracy.
PEMANTAUAN LAHAN SAWAH MENGGUNAKAN CITRA ALOS AVNIR-2 Tjahjono, Boedi; Syafril, Aufa H. A.; Panuju, Dyah R.; Kasno, Antonius; Trisasongko, Bambang H.; Heidina, Febria
GEOMATIKA Vol 15, No 2 (2009)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.438 KB) | DOI: 10.24895/JIG.2009.15-2.252


Rice production has been one of important issues in food sufficiency and increasingly gains more attention to the government. Suitable monitoring scheme is then required to ensure proper data analysis. Remote sensing offers an efficient way to acquire such data, allowing rapid assessment on agricultural system. Many advances on sensor technology have been witnessed. Nonetheless, each sensor has to be evaluated for a specific task such as monitoring various stages in rice production. This paper discusses the performance of AVNIR-2 sensor combined with two statistical tree algorithms. Interestingly, the result shows the outstanding performance of the third band of the sensor. We obtained overall accuracy around 90%. The research indicates the applicability of sensors with limited bands coupled with suitable algorithms.Keywords: ALOS, AVNIR-2, rice , CRUISE, QUEST.ABSTRAKDalam menyusun kebijakan pemerintah yang terkait masalah swasembada pangan, data produksi pangan memegang peranan yang sangat penting. Selama proses produksi, mekanisme pemantauan sangat diperlukan, terutama menggunakan teknologi penginderaan jauh. Berbagai kemajuan dalam bidang sensor telah menunjang beragam aplikasi praktis seperti pemantauan padi. Namun demikian, berbagai percobaan masih relevan untuk dilakukan, mengingat sensitivitas suatu sensor masih perlu diuji dalam berbagai wilayah. Makalah ini mengkaji keragaan sensor pasif AVNIR-2 dalam memantau berbagai fase pertumbuhan padi, memanfaatkan dua algoritma pohon keputusan. Hasil yang diperoleh menunjukkan kinerja yang baik dari sensor tersebut, terutama pada kanal 3 dengan tingkat akurasi sekitar 90%. Hal tersebut mengindikasikan bahwa dengan pemanfaatan mekanisme analisis yang tepat, sensor dengan kanal terbatas masih dapat dimanfaatkan untuk tujuan yang spesifik.Kata kunci: ALOS, AVNIR-2, padi, CRUISE, QUEST.