Drought monitoring using LISAT (LAPAN-IPB Satellite) and Landsat 8 Satellite Imagery in Pakisjaya District, West Java

5th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2018

生态环境科学

Amalo, Luisa Febrina^1 ; Nur, Irza Arnita^1 ; Rochimawati, Nur Riana^1

Environmental Research Centre, Bogor Agricultural University (PPLH-LPPM), Bogor

16680, Indonesia^1

关键词: Agricultural productions;    Agricultural sector;    Agricultural sustainability;    Climate variability;    Drought mitigation;    Field observations;    Mitigation measures;    Rainfall estimations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/284/1/012008/pdf
DOI  :  10.1088/1755-1315/284/1/012008

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Drought is a natural hazard indicated by the decreasing of rainfall and water storage in the region and impacting agricultural sector. Recently, satellites data are widely used for calculating the drought indices. Since 2010, Bogor Agricultural University (IPB) and the National Institute of Aeronautics and Space of Indonesia (LAPAN) had launched satellite, called "LISAT" LAPAN-IPB Satellite. The objectives of the research are (1) to compare NDVI values from two different satellites -LISAT and Landsat (2) to analyzed the relationship between climate variability using spatial rainfall data with NDVI values over Pakisjaya District in specific time of study, (3) to validate NDVI derived from LISAT data with field observation. The study area will focus in Pakisjaya District, Karawang, West Java, one of Java agricultural production center. The biggest potentials in Pakisjaya district are agriculture, plantations and fish ponds. Therefore, the identification of drought in Cirebon is expected to be used as an early warning of drought and mitigation measures to reduce the impact of drought on agricultural sustainability. The results showed drought occurrence in 2017 was caused by the shifting of wet season. Wet season that should occurred in January, but from rainfall estimation using CMORPHs, wet season was delayed to April. It is associated with NDVI data derived from LISAT and Landsat 8 results. Highest NDVI was found in April, and the lowest NDVI was found in January. Nevertheless, NDVI value derived from LISAT were low than literature, but generally from the pattern, it can differentiate well different land used observed. Overall, this study can be used as drought mitigation, particularly for the agricultural farmers, so that they can arrange the suitable planting time.