ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN

Production is a real benchmark in successful crop management which is the most important output economically. Currently, corn production estimates are generally done by conventional means through field surveys. This conventional way requires a high cost and a long time. Appropriate agricultural mana...

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Autores principales:	Laode Muhamad Irsan, Sigit Heru Murti, Prima Widayani
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Gadjah Mada 2019
Materias:	remote sensing, sentinel 2a image, vegetation index, production estimation Technology T Technology (General) T1-995 Science Q Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/d3b4aed857124003a35dcd3398e665e8
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spelling	oai:doaj.org-article:d3b4aed857124003a35dcd3398e665e82021-11-14T03:34:21ZESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN2089-61312443-131110.22146/teknosains.36885https://doaj.org/article/d3b4aed857124003a35dcd3398e665e82019-01-01T00:00:00Zhttps://jurnal.ugm.ac.id/teknosains/article/view/36885https://doaj.org/toc/2089-6131https://doaj.org/toc/2443-1311Production is a real benchmark in successful crop management which is the most important output economically. Currently, corn production estimates are generally done by conventional means through field surveys. This conventional way requires a high cost and a long time. Appropriate agricultural management requires precise and accurate information or data to increase production and economic benefits. Sentinel 2A remote sensing satellite data is potential to be used in assessment of corn production estimation. The purpose of this research is to make land use mapping and corn production estimation by using spectral approach. Estimated data were obtained from Sentinel 2A image by mapping land use and modeling of vegetation index (NDVI, SAVI, MSAVI, TSAVI, EVI, and ARVI) then compared with data of corn production in the field. The result of data analysis shows land use mapping using Sentinel 2A image has 91% confidence level. Calculation of production estimation can show the accuracy of 74% with RMSE 0.69. The highest correlation is estimated production with EVI index model with regression correlation equal to 74% which shows strong correlation on both variables. Estimated production of corn in 2017 in Jeneponto Regency is 178,660,69 tons.Laode Muhamad IrsanSigit Heru MurtiPrima WidayaniUniversitas Gadjah Madaarticleremote sensing, sentinel 2a image, vegetation index, production estimationTechnologyTTechnology (General)T1-995ScienceQScience (General)Q1-390ENIDJurnal Teknosains: Jurnal Ilmiah Sains dan Teknologi, Vol 8, Iss 2, Pp 93-104 (2019)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	remote sensing, sentinel 2a image, vegetation index, production estimation Technology T Technology (General) T1-995 Science Q Science (General) Q1-390
spellingShingle	remote sensing, sentinel 2a image, vegetation index, production estimation Technology T Technology (General) T1-995 Science Q Science (General) Q1-390 Laode Muhamad Irsan Sigit Heru Murti Prima Widayani ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
description	Production is a real benchmark in successful crop management which is the most important output economically. Currently, corn production estimates are generally done by conventional means through field surveys. This conventional way requires a high cost and a long time. Appropriate agricultural management requires precise and accurate information or data to increase production and economic benefits. Sentinel 2A remote sensing satellite data is potential to be used in assessment of corn production estimation. The purpose of this research is to make land use mapping and corn production estimation by using spectral approach. Estimated data were obtained from Sentinel 2A image by mapping land use and modeling of vegetation index (NDVI, SAVI, MSAVI, TSAVI, EVI, and ARVI) then compared with data of corn production in the field. The result of data analysis shows land use mapping using Sentinel 2A image has 91% confidence level. Calculation of production estimation can show the accuracy of 74% with RMSE 0.69. The highest correlation is estimated production with EVI index model with regression correlation equal to 74% which shows strong correlation on both variables. Estimated production of corn in 2017 in Jeneponto Regency is 178,660,69 tons.
format	article
author	Laode Muhamad Irsan Sigit Heru Murti Prima Widayani
author_facet	Laode Muhamad Irsan Sigit Heru Murti Prima Widayani
author_sort	Laode Muhamad Irsan
title	ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
title_short	ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
title_full	ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
title_fullStr	ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
title_full_unstemmed	ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN
title_sort	estimasi produksi jagung (zea mays l.) dengan menggunakan citra sentinel 2a di sebagian wilayah kabupaten jeneponto provinsi sulawesi selatan
publisher	Universitas Gadjah Mada
publishDate	2019
url	https://doaj.org/article/d3b4aed857124003a35dcd3398e665e8
work_keys_str_mv	AT laodemuhamadirsan estimasiproduksijagungzeamaysldenganmenggunakancitrasentinel2adisebagianwilayahkabupatenjenepontoprovinsisulawesiselatan AT sigitherumurti estimasiproduksijagungzeamaysldenganmenggunakancitrasentinel2adisebagianwilayahkabupatenjenepontoprovinsisulawesiselatan AT primawidayani estimasiproduksijagungzeamaysldenganmenggunakancitrasentinel2adisebagianwilayahkabupatenjenepontoprovinsisulawesiselatan
_version_	1718430044860186624

ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN

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