Remote sensing and GIS model for food security mapping in Gunungkidul Regency Daerah Istimewa Yogyakarta

Sigit Heru Murti

doi:10.1117/12.2324029

22 October 2018 Remote sensing and GIS model for food security mapping in Gunungkidul Regency Daerah Istimewa Yogyakarta

Sigit Heru Murti

Author Affiliations +

Proceedings Volume 10777, Land Surface and Cryosphere Remote Sensing IV; 107770U (2018) https://doi.org/10.1117/12.2324029
Event: SPIE Asia-Pacific Remote Sensing, 2018, Honolulu, Hawaii, United States

Abstract

Due to the large number of total population and its high population growth, food needs become the most important issue in Indonesia. This study aims to (1) map the agro-ecosystem zones based on the analysis of remote sensing images; (2) estimate the food production (rice and cassava); and (3) analyze the food security in the study area based on the mapping of the agro-ecosystem zones. Gunung Kidul Regency was selected as the study area because it is one of areas with food insecurity in D.I. Yogyakarta. This research used Landsat 8 OLI recorded on 14 April 2014 and 27 June 2013 and assisted by other spatial data such as the RBI map, soil map and slope map using Geographic Information System (GIS). The data of population statistics was also used to calculate the amount of food needs in the study area. Field survey was conducted to determine the productivity of the land in each agroecosystem zone, and to test the accuracy of the results of remote sensing images processing. The results of this study are: (1) Gunung Kidul Regency can be divided into seven agroecosystem zones, each of which has a different productivity for rice and cassava; (2) Gunung Kidul Regency is included in areas experiencing food insecurity when only taking into account the production of rice, with a shortage of 13,134.05 t; and (3) If the production of rice and cassava are taken into account, Gunung Kidul Regency is not categorized as foodinsecure areas because it has a food surplus of 435,192.20 t.

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Sigit Heru Murti "Remote sensing and GIS model for food security mapping in Gunungkidul Regency Daerah Istimewa Yogyakarta", Proc. SPIE 10777, Land Surface and Cryosphere Remote Sensing IV, 107770U (22 October 2018); https://doi.org/10.1117/12.2324029

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KEYWORDS

Remote sensing

Analytical research

Geographic information systems

Agriculture

Earth observing sensors

Image processing

Information security

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