Measuring the forest cover change in burned area using change vector analysis approach

N. Ade Santi; I. N. S. Jaya; Muhammad B. Saleh

doi:10.1117/12.2540708

24 December 2019 Measuring the forest cover change in burned area using change vector analysis approach

N. Ade Santi, I. N. S. Jaya, Muhammad B. Saleh

Proceedings Volume 11372, Sixth International Symposium on LAPAN-IPB Satellite; 1137219 (2019) https://doi.org/10.1117/12.2540708
Event: Sixth International Symposium on LAPAN-IPB Satellite, 2019, Bogor, Indonesia

Abstract

In 2015 the Jambi Province had been suffered from a big fire which destroying about 115.634 ha or 23% of the total area. This paper describes the measurement of the magnitude and direction of forest and land cover changes, especially in the burnt area of Harapan Rainforest, Jambi, occurred in 2015. The main objective of this study is to find out the magnitude as well as the direction of forest cover changes caused by fire. The magnitude and direction of changes were derived by using Change Vector Analysis (CVA) Approach on the basis of medium-resolution of Landsat 8 acquired in 2014 representing before fire condition and Landsat 8 recorded in 2016 representing after fire condition. The study shows that the magnitude of changes in the study site varied widely starting from slightly to heavily changes. The identified direction of the changes could be grouped into positive dan negative directions, where the negative directions include degradation (D1) and deforestation (D2), while the positive directions include regrowth (D3) and revegetation (D4). The area suffering from degradation and deforestation are 3540 ha and 3106 ha respectively, while the area experiencing vegetation the vegetation growth and revegetation are 55 ha and 227 ha. The study concludes that the CVA could be used to find out the magnitude and change direction (positive and negative) effectively

Citation Download Citation

N. Ade Santi, I. N. S. Jaya, and Muhammad B. Saleh "Measuring the forest cover change in burned area using change vector analysis approach", Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 1137219 (24 December 2019); https://doi.org/10.1117/12.2540708

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KEYWORDS

Bismuth

Vegetation

Earth observing sensors

Landsat

Analytical research

Data processing

Agriculture

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