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Agricultural drought risk assessment in upper progo watershed using multi-temporal landsat 8 imagery
Upper Progo watershed is one of the important agricultural areas in Temanggung Regency, Central Java. This research used the data obtained from Landsat 8 imagery to analyze the agricultural drought risk in the watershed. The hazard was analyzed using multi-temporal data every 16 days (to the Landsat...
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Published in: | IOP conference series. Earth and environmental science 2021-03, Vol.683 (1), p.12097 |
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description | Upper Progo watershed is one of the important agricultural areas in Temanggung Regency, Central Java. This research used the data obtained from Landsat 8 imagery to analyze the agricultural drought risk in the watershed. The hazard was analyzed using multi-temporal data every 16 days (to the Landsat 8’s temporal resolution) during the drought; from May to September 2015 combining the Landsat 8 imagery and the land’s physical condition. An agricultural drought hazard map was then created by summing the hazard class score in every recording time with overlay method. The crop’s vulnerability analyzed using NDVI difference, which indicates the crop’s ability to survive in dry conditions. The crop’s vulnerability was also analyzed every 16 days. A vulnerability map was then created by summing the vulnerability class of every recording time. The assessment of the drought risk was done by multiplying the hazard and the vulnerability scores. The result shows the high and very high classes of agricultural drought risk were located on the west research area which had a high class of hazard and vulnerability. Meanwhile, the moderate, low, and very low classes of agricultural risk were distributed evenly in the center and east area. |
doi_str_mv | 10.1088/1755-1315/683/1/012097 |
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This research used the data obtained from Landsat 8 imagery to analyze the agricultural drought risk in the watershed. The hazard was analyzed using multi-temporal data every 16 days (to the Landsat 8’s temporal resolution) during the drought; from May to September 2015 combining the Landsat 8 imagery and the land’s physical condition. An agricultural drought hazard map was then created by summing the hazard class score in every recording time with overlay method. The crop’s vulnerability analyzed using NDVI difference, which indicates the crop’s ability to survive in dry conditions. The crop’s vulnerability was also analyzed every 16 days. A vulnerability map was then created by summing the vulnerability class of every recording time. The assessment of the drought risk was done by multiplying the hazard and the vulnerability scores. The result shows the high and very high classes of agricultural drought risk were located on the west research area which had a high class of hazard and vulnerability. Meanwhile, the moderate, low, and very low classes of agricultural risk were distributed evenly in the center and east area.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/683/1/012097</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Agricultural drought ; Crops ; Drought ; Environmental risk ; Landsat ; Landsat satellites ; Recording ; Remote sensing ; Risk assessment ; Satellite imagery ; Temporal resolution ; Watersheds ; Weather hazards</subject><ispartof>IOP conference series. Earth and environmental science, 2021-03, Vol.683 (1), p.12097</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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Earth and environmental science</title><description>Upper Progo watershed is one of the important agricultural areas in Temanggung Regency, Central Java. This research used the data obtained from Landsat 8 imagery to analyze the agricultural drought risk in the watershed. The hazard was analyzed using multi-temporal data every 16 days (to the Landsat 8’s temporal resolution) during the drought; from May to September 2015 combining the Landsat 8 imagery and the land’s physical condition. An agricultural drought hazard map was then created by summing the hazard class score in every recording time with overlay method. The crop’s vulnerability analyzed using NDVI difference, which indicates the crop’s ability to survive in dry conditions. The crop’s vulnerability was also analyzed every 16 days. A vulnerability map was then created by summing the vulnerability class of every recording time. The assessment of the drought risk was done by multiplying the hazard and the vulnerability scores. The result shows the high and very high classes of agricultural drought risk were located on the west research area which had a high class of hazard and vulnerability. Meanwhile, the moderate, low, and very low classes of agricultural risk were distributed evenly in the center and east area.</description><subject>Agricultural drought</subject><subject>Crops</subject><subject>Drought</subject><subject>Environmental risk</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Recording</subject><subject>Remote sensing</subject><subject>Risk assessment</subject><subject>Satellite imagery</subject><subject>Temporal resolution</subject><subject>Watersheds</subject><subject>Weather hazards</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNo9kE9LxDAQxYMouK5-BQl4rs0kbZocl0VdYcGLnkOaTrtd-8-kRfbb27Kyl5mBefPm8SPkEdgzMKViyNI0AgFpLJWIIWbAmc6uyOqyuL7MLLsldyEcGZNZIvSKFJvK125qxsnbhha-n6rDSH0dvqkNAUNosRtp3dFpGNDTwfdVT3_tiD4csKBTqLuKtvN9HY3YDv3i0tiuCHakitatrdCf7slNaZuAD_99Tb5eXz63u2j_8fa-3ewjB5nMIq2UkGmiwSW2xAJYgUxxB0ygA9C55LJE0CpzQudO5iy3XHBdcJVjkjon1uTp7DvH_JkwjObYT76bXxqeAtdzSfiskmeV830IHksz-DmoPxlgZiFqFlhmAWdmogbMmaj4A2tUapU</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Widiyatmoko, W</creator><creator>Sudibyakto</creator><creator>Nurjani, E</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210301</creationdate><title>Agricultural drought risk assessment in upper progo watershed using multi-temporal landsat 8 imagery</title><author>Widiyatmoko, W ; Sudibyakto ; Nurjani, E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1767-988365491c4afed10de082c103ec119b626fe1987c39bc6b0ba2329d28be45cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural drought</topic><topic>Crops</topic><topic>Drought</topic><topic>Environmental risk</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Recording</topic><topic>Remote sensing</topic><topic>Risk assessment</topic><topic>Satellite imagery</topic><topic>Temporal resolution</topic><topic>Watersheds</topic><topic>Weather hazards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Widiyatmoko, W</creatorcontrib><creatorcontrib>Sudibyakto</creatorcontrib><creatorcontrib>Nurjani, E</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Widiyatmoko, W</au><au>Sudibyakto</au><au>Nurjani, E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agricultural drought risk assessment in upper progo watershed using multi-temporal landsat 8 imagery</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><date>2021-03-01</date><risdate>2021</risdate><volume>683</volume><issue>1</issue><spage>12097</spage><pages>12097-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>Upper Progo watershed is one of the important agricultural areas in Temanggung Regency, Central Java. This research used the data obtained from Landsat 8 imagery to analyze the agricultural drought risk in the watershed. The hazard was analyzed using multi-temporal data every 16 days (to the Landsat 8’s temporal resolution) during the drought; from May to September 2015 combining the Landsat 8 imagery and the land’s physical condition. An agricultural drought hazard map was then created by summing the hazard class score in every recording time with overlay method. The crop’s vulnerability analyzed using NDVI difference, which indicates the crop’s ability to survive in dry conditions. The crop’s vulnerability was also analyzed every 16 days. A vulnerability map was then created by summing the vulnerability class of every recording time. The assessment of the drought risk was done by multiplying the hazard and the vulnerability scores. The result shows the high and very high classes of agricultural drought risk were located on the west research area which had a high class of hazard and vulnerability. Meanwhile, the moderate, low, and very low classes of agricultural risk were distributed evenly in the center and east area.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/683/1/012097</doi><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural drought Crops Drought Environmental risk Landsat Landsat satellites Recording Remote sensing Risk assessment Satellite imagery Temporal resolution Watersheds Weather hazards |
title | Agricultural drought risk assessment in upper progo watershed using multi-temporal landsat 8 imagery |
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