KAJIAN PENGOLAHAN CITRA ALOS AVNIR-2 UNTUK ESTIMASI KANDUNGAN AIR KANOPI VEGETASI (CANOPY WATER CONTENT) DI SEBAGIAN WILAYAH KABUPATEN GUNUNGKIDUL
Remote sensing can be used in the identification and estimation of vegetation canopy water content, but in general has not been done in Indonesia. This study examined data bertjuan for the lot and is relatively easy to obtain multispectral image data, especially image ALOS AVNIR-2 separately estimat...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/132191/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72711 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Remote sensing can be used in the identification and estimation of vegetation
canopy water content, but in general has not been done in Indonesia. This study
examined data bertjuan for the lot and is relatively easy to obtain multispectral
image data, especially image ALOS AVNIR-2 separately estimate surface vegetation
canopy water content (CWC) in most areas Gunungkidul forest, knowing the ability
and accuracy of some of the methods used is the NDVI, NDWI, and arithmetic
channels / bands, and mapping the CWC in most of the forest area Gunungkidul.
The results of image processing using simple linear regression model between
the value of the index NDVI image processing results, NDWI, and arithmetic channel
(band ratio) NIR / R, R / NIR, NIR / G, and G / NIR measurement of moisture content
in the vegetation samples were successfully taken in the field indicate that the image
data of ALOS AVNIR-2 can be used to estimate canopy water content. The method is
considered capable and analyzed further is the regression equation resulted in values
of r and R2 values exceed the accepted hypothesis of tables used product moment r.
The method exceeds hypothesis is received and can be used with sufficient accuracy
the method of NDVI, arithmetic channel R / NIR and B / NIR analysis of both the
mixed vegetation types as well as on the type of vegetation Kayuputih. The best
method used in canopy water content mapping is the method are produce the best
accuracy, that is the arithmetic channel R / NIR. The regression equations of
arithmetic index channel R / NIR imagery of ALOS AVNIR-2 resulted in values of r
0.470 and R2 0.221 with 59.05% accuracy in mixed vegetation types, as well as on
the type of vegetation Kayuputih yield resulted value of r 0.604 and R2 0.365 with an
accuracy of 63, 96%. |
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