Increasing Accuracy Value in the Estimates of Carbon Stock by Using Vegetation Index From Alos Avnir 2 Satellite Imagery

Abstract

The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.

PENGGUNAAN CITRA SATELIT LANDSAT UNTUK ANALISIS URBAN HEAT ISLAND (Studi Kasus: Kota Bandung)

“…Kajian mengenai pulau panas perkotaan ini merupakan kajian yang menggunakan pendekatan penginderaan jarak jauh sebagai pengumpulan data-nya. Banyak kegunaan dari teknologi penginderaan jauh yang dapat dimanfaatkan, yaitu untuk identifikasi Index Vegetasi, Temperatur dan lain lain (Fardani, Darmawan, Hakim, Harto, & Wikantika, 2016). Fokus dari studi ini adalah mengidentifikasi wilayah yang memiliki suhu kawasan yang tinggi dibandingkan kawasan lainnya.…”