KAJIAN AKURASI INTERPRETASI HIBRIDA MENGGUNAKAN EMPAT INDEKS VEGETASI UNTUK PEMETAAN KERAPATAN KANOPI DI KAWASAN HUTAN KABUPATEN GUNUNGKIDUL

• Main Authors: , MONICA MAYDA PRATIWI, , Prof. Dr. Hartono, DEA, DESS.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2013
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/126777/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67011
• Institution: Universitas Gadjah Mada

The purposes of this study are: (1) optimize the advantages and minimize the weaknesses in visual and digital interpretation method by hybrid interpretation, (2) examine the correlation between vegetation index transformation with the data density of vegetation canopy to get the best hybrid formula, and (3) mapping forest canopy density in Gunungkidul. The method used is the hybrid interpretation. Hybrid interpretation is a combination of visual interpretation for object delineation and interpretation of digital imagery to identify vegetation canopy density. The imagery used is ALOS AVNIR-2 in 2009. Object of study in this research is partly forest in Gunungkidul. Hybrid structured key interpretation of the image that has a high correlation with the value of the vegetation canopy density. While the highest correlation value is obtained by means of placing every building blocks in the image of the vegetation canopy vegetation index transformation (RVI, TVI, NDVI, MSAVI). The results of the correlation analysis indicates that NDVI has the highest coefficient correlation when compared with other vegetation index, which is equal to 0.78. Formula of hybrid interpretation which consists of five classes, among others, very dense forest NDVI �0,276, rather dense/heavy, NDVI�0,116 AND NDVI�0,275, open forest NDVI�(-0,004) AND NDVI�0,115, rarely forest NDVI�(-0,038) AND NDVI�(-0,004), and little/no trees NDVI�(-0,037). Vegetation canopy density interpretation results shows that the study area is dominated by density class rather dense /heavy with the area of 2541 ha or 43.17% of the total area. While the level of mapping overall accuracy (the accuracy of interpretation hybrid) resulting is equal to 93.02%.