3.2 Data Source
This research will use TERRA MODIS satellite data. The data satellite will be collect by daily since January 2008 up to December 2010. The data were
available for free download from Land Processes Distributed Active Archive Center LPDAAC http:lpdaac.usgs.gov or from the Warehouse Inventory
Search Tool WIST https:wist.echo.nasa.gov
. The spatial resolution of MODIS satellite data used in this research is 250m
by 250m pixel size. This resolution of MODIS data expected to be able to differentiate rice field and non rice field landcover in Karawang, Subang, and
Indramayu Regency. The 250m by 250m MODIS also suitable to view land cover differentiation within small scale resolution map of the research area.
The image acquisition of MODIS data, image processing and image analyzing will be conducted in computer laboratory.
3.3 Methodology
3.3.1 Data Collection
As stated in previous point, the research study will use Terra MODIS satellite imagery data. The acquisition of MODIS data will download with free of
charge from specific website. One requirement to make MODIS data available is the availability of high speed internet connection to download the data.
All the data are available freely from the Land Processes Distributed Active Archive Center LPDAAC http:lpdaac.usgs.gov or from the Warehouse
Inventory Search Tool WIST https:wist.echo.nasa.gov. Because heavy clouds may affect the quality of the images, the 16-day composite surface reflectance
images might have more opportunities to avoid the impact of clouds than the daily collected ones. The changes within every 16-day can be ignored and the temporal
coverage frequency is fit for the seasonal change detection. Therefore, this study used the 16-day composite surface reflectance images to overcome the cloud
problem. Each pixel in the 16-day composite images is the best one in quality within every 16 day on the basis of high observation coverage, low view angle,
the absence of clouds, cloud shadows and aerosols http:modis-
land.gsfc.nasa.govsurfrad.htm, so the selected date might be different for different pixels.
The general of methodology which will be conduct in this research study i.e. pre-processing or acquisition of MODIS data, image processing and the expected
result as show in Figure 3.2.
EVI Time Series Jan 2008
– Dec 2010
EVI Time Series Geographic Projection
Layer Stacking Re-Projected to
Geographic Projection
EVI with 69 Layers Administrative
boundary AOI
Subseting EVI of AOI
Unsupervised classification
Classified Image of EVI
RICE PRODUCTION ESTIMATION AND CROP CALENDAR
Rice field from RBI Map Rice Productivity from BPS
Temporal Analysis Supervised classification
Regression Analysis
RICE SPATIAL DISTRIBUTION AND AREA ESTIMATION
Figure 3-2. Flowchart of the research
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