Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_03009.pdf |
| _version_ | 1818446593351745536 |
|---|---|
| author | Putri Dian Nurhandayani Taqyyudin Saraswati Ratna Ash-Shidiq Iqbal Putut |
| author_facet | Putri Dian Nurhandayani Taqyyudin Saraswati Ratna Ash-Shidiq Iqbal Putut |
| author_sort | Putri Dian Nurhandayani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T19:50:11Z |
| format | Article |
| id | doaj.art-53b5465d95c34fb99e1937d8d0707774 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T19:50:11Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-53b5465d95c34fb99e1937d8d07077742022-12-21T22:49:27ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011250300910.1051/e3sconf/201912503009e3sconf_icenis2019_03009Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan RegencyPutri Dian Nurhandayani0Taqyyudin1Saraswati Ratna2Ash-Shidiq Iqbal Putut3Department of Geography, Faculty of Mathematics and Natural Sciences, University of IndonesiaDepartment of Geography, Faculty of Mathematics and Natural Sciences, University of IndonesiaDepartment of Geography, Faculty of Mathematics and Natural Sciences, University of IndonesiaDepartment of Geography, Faculty of Mathematics and Natural Sciences, University of IndonesiaIndonesia 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_03009.pdfdroughtremote sensinglandsat 8tvdi |
| spellingShingle | Putri Dian Nurhandayani Taqyyudin Saraswati Ratna Ash-Shidiq Iqbal Putut Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency E3S Web of Conferences drought remote sensing landsat 8 tvdi |
| title | Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency |
| title_full | Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency |
| title_fullStr | Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency |
| title_full_unstemmed | Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency |
| title_short | Drought Potential of Paddy Fields using Temperature Vegetation Dryness Index in Kuningan Regency |
| title_sort | drought potential of paddy fields using temperature vegetation dryness index in kuningan regency |
| topic | drought remote sensing landsat 8 tvdi |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/51/e3sconf_icenis2019_03009.pdf |
| work_keys_str_mv | AT putridiannurhandayani droughtpotentialofpaddyfieldsusingtemperaturevegetationdrynessindexinkuninganregency AT taqyyudin droughtpotentialofpaddyfieldsusingtemperaturevegetationdrynessindexinkuninganregency AT saraswatiratna droughtpotentialofpaddyfieldsusingtemperaturevegetationdrynessindexinkuninganregency AT ashshidiqiqbalputut droughtpotentialofpaddyfieldsusingtemperaturevegetationdrynessindexinkuninganregency |