Spatial Model of Deforestation in Kalimantan from 2000 to 2013

Forestry sector is the biggest carbon emission contributor in Indonesia which is mainly caused by deforestation.  In Kalimantan island one of the largest island in Indonesia has a significant area of forest cover still can be found although an alarming rates deforestation is also exist. This study was purposed to established spatial model of deforestation in Kalimantan island. This information is expected to provide options to develop sustainable forest management in Kalimantan trought optimizing environment and socio-economic purposes. This study used time-series land cover data from the Ministry of Environment and Forestry (2000 – 2013) and is validated by SPOT 5/6 images in 2013. The spatial model of deforestation were developed using binary logistic. The results of logistic regression analysis obtained spatial model of deforestation in Kalimantan = 1.1480714 – (0.033262*slope) – (0.002242*elevation) – (0.000413*distance from forest edge) + (0.000045*Gross Regional Domestic Product). Validation test showed overall accuracy about 79.64% and 77.01% for models of deforestation in 2000–2006 and 2006–2013 respectively.

Spatial Model of Deforestation in Kalimantan from 2000 to 2013

Forestry sector is the biggest carbon emission contributor in Indonesia which is mainly caused by deforestation.  In Kalimantan island one of the largest island in Indonesia has a significant area of forest cover still can be found although an alarming rates deforestation is also exist. This study was purposed to established spatial model of deforestation in Kalimantan island. This information is expected to provide options to develop sustainable forest management in Kalimantan trought optimizing environment and socio-economic purposes. This study used time-series land cover data from the Ministry of Environment and Forestry (2000 – 2013) and is validated by SPOT 5/6 images in 2013. The spatial model of deforestation were developed using binary logistic. The results of logistic regression analysis obtained spatial model of deforestation in Kalimantan = 1.1480714 – (0.033262*slope) – (0.002242*elevation) – (0.000413*distance from forest edge) + (0.000045*Gross Regional Domestic Product). Validation test showed overall accuracy about 79.64% and 77.01% for models of deforestation in 2000–2006 and 2006–2013 respectively.

ANALISIS TINGKAT AKURASI TITIK HOTSPOT DARI S-NPP VIIRS DAN TERRA/AQUA MODIS TERHADAP KEJADIAN KEBAKARAN

Telah dilakukan sebuah analisis akurasi deteksi kebakaran hutan dengan data hotspot dari satelit penginderaan jauh S-NPP dan TERRA/AQUA. Sensor yang digunakan yaitu Sensor MODIS untuk satelit TERRA/AQUA dan sensor VIIRS untuk satelit S-NPP. Pendeteksian kebakaran hutan dengan titik panas dari data satelit penginderaan jauh dapat digunakan sebagai peringatan dini kebakaran hutan. Titik panas dapat diturunkan dari 2 sensor yang ada disatelit yaitu sensor MODIS dan VIIRS dengan menggunakan algoritma yang telah dikembangkan. Nilai hotspot ini perlu dilakkukan analisis akurasi dengan membandingkan dengan data lapangan tentang kejadian kebakaran. Pada penelitian ini bertujuan untuk melakukan analisis tingkat akurasi hotspot dalam mendeteksi kebakaran hutan. Dengan membandingkan data kejadian kebakaran pada tahun 2017 dan 2018 dan data informasi titik panas pada database titik panas yang dimiliki LAPAN. Hasil akurasi menunjukan untuk sensor MODIS sebesar 45% dan untuk sensor VIIRS sebesar 23%, dengan hasil ini jelas menunjukkan bahwa perlu dilakukan perbaikan untuk meningkatkan akurasi pada informasi titik panas terutama yang diturunkan dari data VIIRS

Current achievements to reduce deforestation in Kalimantan

Indonesia has developed its forest reference emission level (FREL), using a historical reference period of 1990-2012. Based on official Ministry of Environment and Forestry (MoEF) data, this paper analyses gross deforestation rates and emissions from deforestation in the five provinces of the island of Kalimantan which occurred in the time after 2012, i.e. 2013 until 2015, and puts them in relation to the average annual deforestation and emission rates of each province in the reference period. Even though the overall linear trend of deforestation and emission rates in Kalimantan from 1990 until 2015 goes down, this trend is not reflected in all of the five provinces equally. West and North Kalimantan’s rates even seem to be on the rise. The potentials to achieve emission reduction targets thus remain unequal for each province in Kalimantan Island