TY - JOUR
T1 - Burned area monitoring based on multiresolution and multisensor remote sensing image in Muaro Jambi, Jambi
AU - Rahmi, K. I.N.
AU - Ardha, M.
AU - Rarasati, A.
AU - Nugroho, G.
AU - Mayestika, P.
AU - U Catur, N.
AU - Yulianto, F.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/7/21
Y1 - 2020/7/21
N2 - Forest and land fires are one of the disasters that occur regularly every year in the dry season. In 2019, it is estimated that the spread of forest and land fires will continue to expand due to the weak el nino potential faced by Indonesia. Monitoring burned area is important to be done quickly and accurately to find out the distribution and extent of the burned area to be followed up by relevant parties. This study aims to monitor burned area in Muaro Jambi, Jambi Province based on remote sensing imagery from optical sensors and radar sensors, namely Landsat 8, Sentinel 2, and Sentinel 1 satellite imagery. The method of identifying the burned area is based on the hotspot location and the different land cover images before and after the fire. Hotspot data used are Terra / Aqua MODIS, SNPP VIIRS, and NOAA 20 with confidence level high, medium, low while the satellite imagery used is Landsat RGB 6 5 4, Sentinel 2 RGB 11 8a 4, and Sentinel 1 RGB VV VH VV / VH. Based on this monitoring, the results of multisensor and multiresolution image show that the burned area continues to increase during the fire period from 30 July (217 Ha) - 5 August 2019 (1027 Ha).
AB - Forest and land fires are one of the disasters that occur regularly every year in the dry season. In 2019, it is estimated that the spread of forest and land fires will continue to expand due to the weak el nino potential faced by Indonesia. Monitoring burned area is important to be done quickly and accurately to find out the distribution and extent of the burned area to be followed up by relevant parties. This study aims to monitor burned area in Muaro Jambi, Jambi Province based on remote sensing imagery from optical sensors and radar sensors, namely Landsat 8, Sentinel 2, and Sentinel 1 satellite imagery. The method of identifying the burned area is based on the hotspot location and the different land cover images before and after the fire. Hotspot data used are Terra / Aqua MODIS, SNPP VIIRS, and NOAA 20 with confidence level high, medium, low while the satellite imagery used is Landsat RGB 6 5 4, Sentinel 2 RGB 11 8a 4, and Sentinel 1 RGB VV VH VV / VH. Based on this monitoring, the results of multisensor and multiresolution image show that the burned area continues to increase during the fire period from 30 July (217 Ha) - 5 August 2019 (1027 Ha).
UR - http://www.scopus.com/inward/record.url?scp=85088915429&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/528/1/012058
DO - 10.1088/1755-1315/528/1/012058
M3 - Conference article
AN - SCOPUS:85088915429
SN - 1755-1307
VL - 528
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012058
T2 - 2nd International Conference on Environment and Forest Conservation: Ecosystem Research and Innovation to Achieve Sustainable Development Goals, ICEFC 2019
Y2 - 1 October 2019 through 3 October 2019
ER -
