Monitoring agriculture drought using remote sensing data

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Abstract

The main objective of this study is to examine the relationship between Vegetation Condition Index (VCI) and rainfall distribution in determining agriculture drought. The study was conducted using 10 years MODIS data from year 2000 to year 2009. The VCI equation was derived from Normalized Difference Vegetation Index (NDVI) equation. There has limitation of using NDVI for monitoring crop during drought periods as crop health depends not only upon the water stress but also on thermal conditions. The value of VCI was range from 0 to 100. VCI value was below 40 indicated stress vegetation condition. Results showed that in the past 10 years there is no drought detected as the VCI value is above 57. Comparing rainfall data with NDVI and VCI, VCI showed a good correlation with rainfall data which r value is above 0.7. The integrated of VCI indices and rainfall data can be used to determine the vegetation condition especially drought detection. Copyright © (2013) by the Asian Association on Remote Sensing.

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APA

Ibrahim, A. L., Zaki, M. M., Tam, T. H., & Khan, N. L. M. (2013). Monitoring agriculture drought using remote sensing data. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (Vol. 4, pp. 3209–3212). Asian Association on Remote Sensing.

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