TY - JOUR
T1 - Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency
AU - Putri, Dian Nurhandayani
AU - Taqyyudin,
AU - Saraswati, Ratna
AU - Ash-Shidiq, Iqbal Putut
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2019.
PY - 2019/10/28
Y1 - 2019/10/28
N2 - Indonesia National Board for Disaster Management (BNPB) said that in 2002-2009 the drought was the second most frequent intensity after the flood disaster. Drought is a condition where a region experiences a lack of water. If this drought occurs in the agricultural area, it will certainly affect the plants that grow. One of the potential detection methods for drought can be using remote sensing. Temperature Vegetation Dryness Index (TVDI) is one method to detect drought potential with two parameters, vegetation index, and temperature. Through the triangle method, there is a relationship between the vegetation index and temperature represented by linear equations. These linear equations are used to calculate TVDI values. This study uses data Landsat 8 image and paddy fields. The objective of this research is how the distribution and the area of drought based on the TVDI algorithm. The TVDI with dry classes diffuse in the central and western parts, it is also the TVDI with the largest area about 155.82 km2 or 44% of the total. TVDI with wet classes can be seen in the western part of the region and the smallest area about 32.94 km2 or 9% of the total.
AB - Indonesia National Board for Disaster Management (BNPB) said that in 2002-2009 the drought was the second most frequent intensity after the flood disaster. Drought is a condition where a region experiences a lack of water. If this drought occurs in the agricultural area, it will certainly affect the plants that grow. One of the potential detection methods for drought can be using remote sensing. Temperature Vegetation Dryness Index (TVDI) is one method to detect drought potential with two parameters, vegetation index, and temperature. Through the triangle method, there is a relationship between the vegetation index and temperature represented by linear equations. These linear equations are used to calculate TVDI values. This study uses data Landsat 8 image and paddy fields. The objective of this research is how the distribution and the area of drought based on the TVDI algorithm. The TVDI with dry classes diffuse in the central and western parts, it is also the TVDI with the largest area about 155.82 km2 or 44% of the total. TVDI with wet classes can be seen in the western part of the region and the smallest area about 32.94 km2 or 9% of the total.
KW - Drought
KW - Landsat 8
KW - Remote Sensing
KW - TVDI
UR - http://www.scopus.com/inward/record.url?scp=85075240385&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/201912503009
DO - 10.1051/e3sconf/201912503009
M3 - Conference article
AN - SCOPUS:85075240385
SN - 2555-0403
VL - 125
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 03009
T2 - 4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019
Y2 - 7 August 2019 through 8 August 2019
ER -