of day 945 until day 1089 or in calendar date starting August 2010 until December 2010.
Figure 4-10. MODIS EVI Pattern of Group D and Group F
Figure 4-11. MODIS EVI Pattern of Group G, Group H, and Group J
The crop statistic from BPS in table 4-4 shows that rice productions in 2010 were decreasing compare to 2009 production see figure 4-12. In Subang
Regency the rice production decreases from 1.128.353 Tons in 2009 becoming 959.533 Tons in 2010. While in Indramayu Regency, rice production decreases
from 1.588.866,12 Tons in 2009 becoming 1.557.552,3 Tons in 2010.
Figure 4-12. Decreasing rice production
- 500,000
1,000,000 1,500,000
2,000,000
KARAWANG SUBANG
INDRAMAYU 2008
2009 2010
5
CONCLUSION AND RECOMMENDATION
5.1 Conclusion
Based on the result of the research, it can be concluded that MODIS EVI with 250m by 250m resolution able to view spatial distribution of rice field in Karawang,
Subang, and Indramayu Regency. The estimation of rice field area based on MODIS EVI result were under estimate compare to the rice field area based on landuse map from
government data BPS, but the errors only
7,38 for rice field area and 10,36 for rice production.
The 250m by 250m image resolution also able to described rice phenology and its rotating growing season over the research area. This resolution also
prove that MODIS EVI able to identify rice field and age more detailed compared by previous research using NOAA imagery which has 1km by 1km spatial resolution. Based
on the temporal analysis, the rotation of growing season was started from the southern part of research area and moving towards north of the research area. The rotation of
growing season show difference from east to west because of the research area has different irrigation river system which gave nearly the same schedule. Indramayu
Regency has an early 16-48 days early planting of rice compared to Karawang and Subang Regency. The production estimation of rice was very depends on the variety of
rice being planted in the research area. The errors of rice production calculation can be minimized by identifying the areas of each rice varieties.
5.2 Recommendation
This research has shown that hyper temporal satellite imagery able to described spatial distribution of rice in the research area as an alternative for crop
monitoring. For further research there are some recommendations to enhance the analysis on crop analysis:
The study recommends comparing with various vegetation index VI in order to have comparison which VI that able to describe vegetation phenology best.
The temporal analysis also able to deliver landcover change through VI changes over time by identifying vegetation phenology that grows in the
research area.
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