Rizatus Shofiyati, Wataru Takeuchi, Soni Darmawan, Parwati Sofan


Long droughts experienced in the past are identified as one of the main factors in the failure of rice production. In this regard, special attention to monitor the condition is encouraged to reduce the damage. Currently, various satellite data and approaches can withdraw valuable information for monitoring and anticipating drought hazards. MODIS, MTSAT, AMSR-E, TRMM and GSMaP have been used in this activity. Meteorological drought index (SPI) of the daily and monthly rainfall data from TRMM and GSMaP have analyzed for last 10-year period. While, agronomic drought index has been studied by observing the character of some indices (EVI, VCI, VHI, LST, and NDVI) of sixteen-day and monthly MODIS, MTSAT, and AMSR-E data at a period of 4 years. Network for satellite data transfer has been built between LAPAN (data provider), ICALRD (implementer), IAARD Cloud Computing, University of Tokyo (technical supporter), and NASA. Two information system have been developed: 1) agricultural drought using the model developed by LAPAN, and 2) meteorological drought developed by Takeuchi (University of Tokyo).The accuracy study using quantitative method for LAPAN model uses VHI is 60% (Kappa 0,44), while that of for University of Tokyo model uses qualitative model with KBDI value 500-600 shows an early indication of  drought for paddy field. This will help the government or field officers in rapid management actions for the indicated drought area.This paper describes the implementation and dissemination of drought impact monitoring model on the area of rice production center using an integrated information system satellite based model. The two developed information systems are effective for spatially dissemination of drought information.


Drought; Rice production; Satellite remote sensing; Information system

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BMKG, (2012), Rainfall Data.Indonesian Agency of Meteorology, Climatology, and Geophysics (BMKG).

BNPB, (2013), Data Informasi Bencana Indonesia. Badan Nasional Penanggulangan Bencana. (Accessed on 25 September 2013).

Boer R., Subbiah AR, (2005), Agricultural Drought in Indonesia, in Boken, V.K., Cracknell, A.P., Heathcote, R.L.: Monitoring and Predicting Agricultre Drought, Oxford University Press, 330-344.

BPS, (1998), Statistic Indonesia year 1997, Badan Pusat Statistik.

BPS, (2013), Statistic Indonesia, 1993 –2013, Badan Pusat Statistik.

Directorate for Food Crop Protection ofIndonesian Agency of Agricultural Research and Development, (2011), Pedoman Umum Adaptasi Perubahan Iklim Sektor Pertanian. IAARD of Ministry of Agriculture.

FAO-The United Nation (1998) Drought and Financial Crisis Leave Indonesia Facing Record Food Deficit, http://www. english/newsroom/global/GW9810-e.htm. (accessed on 09 April 2010.

Gathara ST, Gringof LG, Mersha E., Sinha RKC, Spasov P., (2006), World Meteorological Organization: Impacts of Desertification and Drought and Other Extreme Meteorological Events. Commission for Agricultural Meteorology. CAgM Report No. 101.

IAARD, (2012), Bahan Press Release Kepala Badan Penelitian dan Pengembangan Pertanian tentang Sistem Informasi Kalender Tanam Terpadu untuk MT-2 (MK-1) 2012, Indonesian Agency of Agriculture Research and Development (IAARD).

Keetch JJ, Byram GM, (1968), A drought index for forest fire control. Res. Pap. SE-38. Asheville NC: U.S. Department of Agriculture.Forest Service. Southeastern ForestExperiment Station. 32 p. Revised November 1988.

Kogan FN, (1987), Vegetation Index for Area Analysis of Crop Conditions. Proceedings of 18th Conference on Agricultural and Forest Meteorology, pp. 103–106.

Kogan FN, (1990), Remote Sensing of Weather Impacts on Vegetation in Non-Homogeneous Areas. International Journal of Remote Sensing, 11: 1405–1419.

KP3I of MoA, (2009), Rancangan Rencana Strategis Kementerian Pertanian Thaun 2010-2014. Ministry of Agriculture. Jakarta.

Las I., Pramudia A., Runtunuwu E., Setyanto P., (2011), Antisipasi Perubahan Iklim Dalam Mengamankan Produksi Beras Nasional. Pengembangan Inovasi Pertanian 4(1): 76-86.

Liu HQ, Huete AR, (1995), A Feedback Based Modification of the NDVI to Minimize Canopy Background and Atmospheric Noise,IEEE Transactions on Geoscience and Remote Sensing, 33: 457-465.

Makmur E., (2009), Drought assessment over Indonesia related to El Nino and SSTA Indonesia.Inter-Regional Workshop on Indices and Early Warning Systems for Drought,Lincoln, Nebraska, 8-11 December 2009, http://www. agm/ meetings/wies09/S53-Erwin.pdf. (Accessed on 09 April 2010).

Pasandaran E., Hermanto, (1997), Pengelolaan Sistem irigasi Hemat Air untuk Mempertahankan Swasembada Beras. In Kurnia, G. (Ed): Hemat Air Irigasi. Kebijakan, Teknik, Pengelolaan, dan Sosial Budaya. Pusat Dinamika Pembangunan. Universitas Padjadjaran, Bandung, Indonesia.

Pusat Penelitian Tanah, (1989), Laporan Akhir Survei dan Pemetaan Tanah Semi Detail, Daerah Lahan Kering/Kritis DAS Brantas Hulu Propinsi Jawa Timur,Land Research Center Bogor, Indonesia.

Puterbaugh T., (1997), World Agricultural Production. Foreign Agricultural Service (FAS) USDA (1997). http://www.fas.usda. gov/WAP/circular/1997. (accessed on29 October 2000).

Takeuchi W., Gonzalez L., (2009), Blending MODIS and AMSR-E to predict daily land surface water coverage. Proceedings of International Remote Sensing Symposium (ISRS), Busan, South Korea, 2009 Oct. 29.


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