Kajian model forest canopy density (FCD) berbasis citra landsat multitemporal untuk monitoring degradasi hutan : Kasus sebagian kawasan hutan dikabupaten Bengkulu Selatan
Tiara Kauri,
2016 | Skripsi |Forest monitoring systems using middle-resolution satellite images by an appropriate method can produce information with reasonably accurate estimates. Change in forest canopy density should be considered for better forest management. The forest canopy density monitoring can be made as an essential parameter to assess change in forest conditions over times. Forest Canopy Density (FCD) model is a sufficiently good method for monitoring forest degradation. The objective of this study is to analyze the information produced by FCD model about forest canopy density and forest canopy vegetation structure types for making a classification of forest degradation in a part of the forest areas in South Bengkulu Regency during 2009-2015. It is assumed that FCD model can produce accurate estimates on forest canopy density and forest canopy vegetation structure types. Characteristics of vegetation index (VI), bare soil index (BI), shadow index (SI) and thermal index (TI) are different for each forest canopy structure type. The classification of the forest canopy vegetation structure types was carried out by a decision tree analysis based on VI, BI, SI, and TI. Statistical analyses were carried out to find out difference in VI, BI, SI, and TI, including Pearson product-moment correlation, Analysis of Variance (Anova), and Post-Hoc test. Based on results of the study, root means square deviation (RMSD) of estimates produced by FCD model in 2015 was 87.98, while the accuracy of estimates on the classification of forest canopy vegetation structure types in 2015 was 51.92% and in 2015 was 53.85%. Such accuracy can be included into a ‘low’ category but it may still be reasonable. The relatively heterogeneous vegetation conditions in tropical rainforests lead to some difficulty in distinguishing forest canopy vegetation where forest and non-forest vegetations were generally mixed. This was confirmed by the results of statistical analysis in the study that there was a significant and negative correlation between VI and BI with a coefficient of -0.864 and a significant and negative correlation between SI and TI with a coefficient of -0.244. The results of the Anova showed that there was a significant difference in forest canopy vegetation structure types of BI, SI, and TI, while VI did not have a significant difference in canopy vegetation type. From the results of change detection, it can be concluded that a part of the forest areas in South Bengkulu Regency from 2009 to 2015 significantly had low, middle, and heavy forest degradation.
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