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DC Field | Value | Language |
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dc.contributor.author | Panuju, Dyah R. | |
dc.contributor.author | Trisasongko, Bambang H. | |
dc.date.accessioned | 2010-08-27T02:37:27Z | |
dc.date.available | 2010-08-27T02:37:27Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/37891 | |
dc.description.abstract | Java, as the largest populated Island in Indonesia, has experienced tremendous agricultural land use conversion, mostly to Industrial and settlement uses. In order to optimize current rice fields, agricultural Intensification techniques have been introduced including seed technology and remote estimation. For the latter, remotely-sensed data plays an Important role which provide updated information for food security. In general, remotely sensed data provide two basic information i.e. spatial extents of current agricultural fields and estimation of yields. This paper discusses first theme of the role using Landsat multi-spectral data coupled with statistical tree analyses. Two test sites were selected covering different land tenure. Although the rate of classification accuracy was Similar, we found that the decision tree approaches consistently provided acceptable accuracy on around 90%. | id |
dc.publisher | IPB (Bogor Agricultural University) | |
dc.title | The Use Of Statistical Tree Methods On Rice Field Mapping | id |
Appears in Collections: | Soil Science and Land Resource |
Files in This Item:
File | Description | Size | Format | |
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GEOMATIKA B-4_the use statistical_dyah panuju.pdf | Publication by Others | 697.7 kB | Adobe PDF | View/Open |
GEOMATIKA B-4_the use statistical_dyah panujuabstract.pdf | Abstract | 673.07 kB | Adobe PDF | View/Open |
GEOMATIKA B-4_the use statistical_dyah panujuabstract.ps | Postcript | 1.37 MB | Postscript | View/Open |
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