Analysis of Agricultural Drought in East Java Using Vegetation Health Index

Luisa Febrina Amalo, Rahmat Hidayat, Sayidah Sulma


Drought is a natural hazard indicated by the decreasing of rainfall and water storage and impacting agricultural sector. Agricultural drought assessment has been used to monitor agricultural sustainability, particularly in East Java as national agricultural production center. Identification of drought characteristics –correlated with El Niño-Southern Oscillation, and agricultural impact on paddy fields and rice production using VHI (Vegetation Health Index) were conducted. VHI is produced by TCI (Temperature Condition Index) and VCI (Vegetation Condition Index) derived from MODIS satellite data, LST (Land Surface Temperature) and EVI (Enhanced Vegetation Index), respectively. The results showed agricultural drought usually started in June, maximum in October and ended in November. Onset and end time drought tends to follow monsoonal rainfall pattern. El Niño 2015 showed long duration of agricultural drought (i.e. ± 5 months), high severity (i.e. mild-extreme drought; VHI 0-40) and areal extent of drought approx. 197,343 km2, while during La Niña 2010 the areal extent was approx. 28,685 km2 with mild-severe drought (VHI 10-40). Impact of agricultural drought on paddy fields showed wider (smaller) areal extent in sub-round 3 (sub-round 1) from September-December (January-April). Areal extent of drought was negatively correlated with rice production (r=-0.79) which significant in 99 % confidence level.


El Niño; La Niña; Rice production; Vegetation Health Index

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Aldrian, E., & Susanto, R. D. (2003). Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. International Journal of Climatology, 23(12), 1435–1452. crossref

Bey, A., Pramudia, A., June, T., & Amien, L. I. (2003). Analisis anomali iklim dan dampaknya terhadap ketersediaan air di sentra produksi pangan di Pulau Jawa [The analysis of climate and its impact on water availability in food production centers, Java Island]. Bogor, ID: IPB. Retrieved from website

BPS – Statistics of Jawa Timur Province. (2015). Jawa Timur dalam angka 2015 [Jawa Timur in figures 2015]. Surabaya, ID: CV. Media Konstruksi. Retrieved from PDF

Chopra, P. (2006). Drought risk assessment using remote sensing and GIS: A case study of Gujarat (Master Thesis). Retrieved from ITC Library, The Netherlands (PDF)

CPC. (2015). Cold & warm episodes by season. National Weather Service, National Oceanic and Atmospheric Administration. Retrieved from website

Dalezios, N. R., Blanta, A., Spyropoulos, N. V., & Tarquis, A. M. (2014). Risk identification of agricultural drought for sustainable agroecosystems. Natural Hazards and Earth System Sciences, 14(9), 2435–2448. crossref

Domenikiotis, C., Spiliotopoulos, M., Tsiros, E., & Dalezios, N. R. (2004). Early cotton yield assessment by the use of the NOAA/AVHRR derived Vegetation Condition Index (VCI) in Greece. International Journal of Remote Sensing, 25(14), 2807-2819. crossref

Fadholi, A. (2013). Studi dampak El Nino dan Indian Ocean Dipole (IOD) terhadap curah hujan di Pangkalpinang [Study the impact of El Nino and Indian Ocean Dipole (IOD) on rainfall in Pangkalpinang]. Jurnal Ilmu Lingkungan, 11(1), 43-50. crossref

Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., … Michaelsen, J. (2015). The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data, 2, 150066. crossref

Ghaleb, F., Mario, M., & Sandra, A. (2015). Regional landsat-based drought monitoring from 1982 to 2014. Climate, 3(3), 563–577. crossref

Hermawan, E. (2010). Pengelompokkan pola curah hujan yang terjadi di beberapa kawasan P. Sumatera berbasis hasil analisis teknik spektral [Grouping of rainfall pattern that happened in some region of Sumatra Island based on spectral technique analysis result]. Jurnal Meteorologi dan Geofisika, 11(2), 75-85. Retrieved from website

Holbrook, N. J., Davidson, J., Feng, M., Hobday, A. J., Lough, J. M., McGregor, S., & Risbey, J. S. (2009). El Niño – Southern Oscillation. In E. S. Poloczanska, A. J. Hobday & A. J. Richardson (Eds.), Report card of marine climate change for Australia 2009. Southport, AU: NCCARF. Retrieved from PDF

Irawan, B. (2006). Fenomena anomali iklim El Nino dan La Nina: Kecenderungan jangka panjang dan pengaruhnya terhadap produksi pangan [The phenomenon of El Nino and La Nina climate anomalies: Long-term trends and their effects on food production]. Forum Penelitian Agro Ekonomi, 24(1), 28-5. crossref

Khalil, A. A., Abdel-Wahab, M. M., Hassanein, M. K., Ouldbdey, B., Katlan, B., & Essa, Y. H. (2013). Drought monitoring over Egypt by using MODIS land surface temperature and normalized difference vegetation index. Nature and Science, 11(11), 116-122. Retrieved from PDF

Kogan, F. N. (2001). Operational space technology for global vegetation assessment. Bulletin of the American Meteorological Society, 82(9), 1949–1964. crossref

Ministry of Agriculture. (2013). Statistik makro sektor pertanian 2013 [Macro statistics for agricultural sector 2013]. Jakarta, ID: Pusat Data dan Sistem Informasi Pertanian, Kementerian Pertanian. Retrieved from PDF

Rahman, A., Roytman, L., Krakauer, N. Y., Nizamuddin, M., & Goldberg, M. (2009). Use of vegetation health data for estimation of aus rice yield in Bangladesh. Sensors, 9(4), 2968–2975. crossref

Rocha, A. V., & Shaver, G. R. (2009). Advantages of a two band EVI calculated from solar and photosynthetically active radiation fluxes. Agricultural and Forest Meteorology, 149(9), 1560–1563. crossref

Skakun, S., Kussul, N., Kussul, O., & Shelestov, A. (2014). Quantitative estimation of drought risk in Ukraine using satellite data. Paper presented at Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Quebec City, Canada, 13-18 July. Quebec City, CA: IEEE. Retrieved from website

Wang, H., Lin, H., & Liu, D. (2014). Remotely sensed drought Index and its responses to meteorological drought in Southwest China. Remote Sensing Letters, 5(5), 413–422. crossref

Xiao, X., Braswell, B., Zhang, Q., Boles, S., Frolking, S., & Moore, B. (2003). Sensitivity of vegetation indices to atmospheric aerosols: Continental-scale observations in Northern Asia. Remote Sensing of Environment, 84(3), 385–392. crossref

Zargar, A., Sadiq, R., Naser, B., & Khan, F. I. (2011). A review of drought indices. Environmental Reviews, 19, 333–349. crossref


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