TY - JOUR
T1 - Identification of Dry Areas on Agricultural Land using Normalized Difference Drought Index in Magetan Regency
AU - Rismayatika, F.
AU - Saraswati, R.
AU - Shidiq, I. P.A.
AU - Taqyyudin,
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/8/4
Y1 - 2020/8/4
N2 - Indonesia is a country with vast agricultural lands. However, agricultural land production in Indonesia is threatened by climate change and land use change. One of phenomenon from climate change that threatened agricultural land is El Nino. El Nino can cause long-lasting drought. In 2018, Indonesia Ministry of Agriculture predicted that in the middle of 2019, El Nino would occur in Indonesia. Magetan Regency is one of the regencies in East Java Province that has a high level of vulnerability to drought. Magetan Regency ranked 36 in Indonesia as a Drought-Prone Regency. Drought in the agricultural sector is a drought which is one of the direct impacts of the climate change phenomenon. This research aims to identify dry areas in agricultural land using Normalized Difference Drought Index and Landsat 8 Imagery with acquisition month August 2017 (Normal Year) and 2019 (El Nino Year). The results of data processing revealed that the dry areas in 2019 are wider than dry areas in 2017 with extent area of 3350.26 ha in 2017 and 9237.28 ha in 2019.
AB - Indonesia is a country with vast agricultural lands. However, agricultural land production in Indonesia is threatened by climate change and land use change. One of phenomenon from climate change that threatened agricultural land is El Nino. El Nino can cause long-lasting drought. In 2018, Indonesia Ministry of Agriculture predicted that in the middle of 2019, El Nino would occur in Indonesia. Magetan Regency is one of the regencies in East Java Province that has a high level of vulnerability to drought. Magetan Regency ranked 36 in Indonesia as a Drought-Prone Regency. Drought in the agricultural sector is a drought which is one of the direct impacts of the climate change phenomenon. This research aims to identify dry areas in agricultural land using Normalized Difference Drought Index and Landsat 8 Imagery with acquisition month August 2017 (Normal Year) and 2019 (El Nino Year). The results of data processing revealed that the dry areas in 2019 are wider than dry areas in 2017 with extent area of 3350.26 ha in 2017 and 9237.28 ha in 2019.
UR - http://www.scopus.com/inward/record.url?scp=85090148381&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/540/1/012029
DO - 10.1088/1755-1315/540/1/012029
M3 - Conference article
AN - SCOPUS:85090148381
SN - 1755-1307
VL - 540
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012029
T2 - 10th IGRSM International Conference and Exhibition on Geospatial and Remote, IGRSM 2020
Y2 - 20 October 2020 through 21 October 2020
ER -
