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Analysis of Rice Plant Age Based on NDVI Value Using MODIS Imagery (Case Study of Koto Tangah District, Padang City)
Determining the growth phase of rice is an estimation technique that has been carried out universally using satellite images. However, an estimation model cannot applied in other areas due to different regional characteristics. Lowland areas have different environmental factors than highland areas....
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Published in: | IOP conference series. Earth and environmental science 2024-12, Vol.1426 (1), p.12018 |
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description | Determining the growth phase of rice is an estimation technique that has been carried out universally using satellite images. However, an estimation model cannot applied in other areas due to different regional characteristics. Lowland areas have different environmental factors than highland areas. Padang City with the characteristics of a coastal area dan including the capital of West Sumatra Province has productive rice fields as one of the rice supplies in Padang City. This study aims to determine a model for estimating the growth phase of rice plants in Padang City using MODIS Imagery. The data used were MODIS image recordings from January 2021 to July 2024 with 60 image output data. Observation locations with grids or image pixels with rice field areas ≥ 50%. Based on the results of image analysis, a model was obtained for estimating the age of rice plants in Padang City, namely y = −0.000095x 2 + 0.013743x + 0.310743 with y being the NDVI value and x is the age of the rice plant with a coefficient of determination (R 2 ) value of 0.9554 in the forceful category and an RMSE value of 0.0383. The range of NDVI values for each phase of rice growth in Koto Tangah District, Padang City, is water phase < 0.5063; vegetative phase (1) 0.5063-0.7515; vegetative phase (2) 0.7515-0.8022; generative phase (1) 0.8022-0.7546; generative phase (2) 0.7546-0.5134 and fallow phase 0.5134-0.3198. |
doi_str_mv | 10.1088/1755-1315/1426/1/012018 |
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However, an estimation model cannot applied in other areas due to different regional characteristics. Lowland areas have different environmental factors than highland areas. Padang City with the characteristics of a coastal area dan including the capital of West Sumatra Province has productive rice fields as one of the rice supplies in Padang City. This study aims to determine a model for estimating the growth phase of rice plants in Padang City using MODIS Imagery. The data used were MODIS image recordings from January 2021 to July 2024 with 60 image output data. Observation locations with grids or image pixels with rice field areas ≥ 50%. Based on the results of image analysis, a model was obtained for estimating the age of rice plants in Padang City, namely y = −0.000095x 2 + 0.013743x + 0.310743 with y being the NDVI value and x is the age of the rice plant with a coefficient of determination (R 2 ) value of 0.9554 in the forceful category and an RMSE value of 0.0383. The range of NDVI values for each phase of rice growth in Koto Tangah District, Padang City, is water phase < 0.5063; vegetative phase (1) 0.5063-0.7515; vegetative phase (2) 0.7515-0.8022; generative phase (1) 0.8022-0.7546; generative phase (2) 0.7546-0.5134 and fallow phase 0.5134-0.3198.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/1426/1/012018</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Age ; Age determination ; Chronology ; Coastal zone ; Environmental factors ; Estimation ; Image analysis ; Image processing ; Koto Tangah District ; MODIS ; NDVI ; Plant layout ; Remote sensing ; Rice fields ; Rice Plant Age ; Satellite imagery</subject><ispartof>IOP conference series. 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Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>Determining the growth phase of rice is an estimation technique that has been carried out universally using satellite images. However, an estimation model cannot applied in other areas due to different regional characteristics. Lowland areas have different environmental factors than highland areas. Padang City with the characteristics of a coastal area dan including the capital of West Sumatra Province has productive rice fields as one of the rice supplies in Padang City. This study aims to determine a model for estimating the growth phase of rice plants in Padang City using MODIS Imagery. The data used were MODIS image recordings from January 2021 to July 2024 with 60 image output data. Observation locations with grids or image pixels with rice field areas ≥ 50%. Based on the results of image analysis, a model was obtained for estimating the age of rice plants in Padang City, namely y = −0.000095x 2 + 0.013743x + 0.310743 with y being the NDVI value and x is the age of the rice plant with a coefficient of determination (R 2 ) value of 0.9554 in the forceful category and an RMSE value of 0.0383. The range of NDVI values for each phase of rice growth in Koto Tangah District, Padang City, is water phase < 0.5063; vegetative phase (1) 0.5063-0.7515; vegetative phase (2) 0.7515-0.8022; generative phase (1) 0.8022-0.7546; generative phase (2) 0.7546-0.5134 and fallow phase 0.5134-0.3198.</description><subject>Age</subject><subject>Age determination</subject><subject>Chronology</subject><subject>Coastal zone</subject><subject>Environmental factors</subject><subject>Estimation</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Koto Tangah District</subject><subject>MODIS</subject><subject>NDVI</subject><subject>Plant layout</subject><subject>Remote sensing</subject><subject>Rice fields</subject><subject>Rice Plant Age</subject><subject>Satellite imagery</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkF1LwzAUhosoOKe_wQPeOHA2afqRXc5tanG64T5uQ9ImtWNra9Ne9N-bUpkIgjc5Iec57yGPZV1jdI8RpTYOPG-ICfZs7Dq-jW2EHYTpidU7dk6PdxScWxda7xDyA5eMelY1zvi-0amGXMF7GklY7nlWwTiR8MC1jCHP4G26DWHL97WEjU6zBF4X03AF4YEnsmzgdmJAWFV13LQpL3mVw5pnCf-AaaqrMo2qO1jy2DzBJK2awaV1pvhey6vv2rc2j7P15Hk4XzyFk_F8GGHPJUMqAuEGyo18QbgQXMUiIkLiUYA86QqX-tTnMqCRjxFREZUKO-YYxSPqqNgRpG_ddLlFmX_WUldsl9el-bBmxgoixoBDDBV0VFTmWpdSsaJMD7xsGEasVcxaeawVyVrFDLNOsZkcdJNpXvxEz2ar3xwrYmVY8gf734YvExiI9Q</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Safitri, Imelda</creator><creator>Yanti, Delvi</creator><creator>Irsyad, Fadli</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><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>20241201</creationdate><title>Analysis of Rice Plant Age Based on NDVI Value Using MODIS Imagery (Case Study of Koto Tangah District, Padang City)</title><author>Safitri, Imelda ; Yanti, Delvi ; Irsyad, Fadli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1543-8b7b47f4c6b3abbafdbc3be19705e4b48686ae78c6103fc8ef128ef9d982fd2b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age</topic><topic>Age determination</topic><topic>Chronology</topic><topic>Coastal zone</topic><topic>Environmental factors</topic><topic>Estimation</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Koto Tangah District</topic><topic>MODIS</topic><topic>NDVI</topic><topic>Plant layout</topic><topic>Remote sensing</topic><topic>Rice fields</topic><topic>Rice Plant Age</topic><topic>Satellite imagery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Safitri, Imelda</creatorcontrib><creatorcontrib>Yanti, Delvi</creatorcontrib><creatorcontrib>Irsyad, Fadli</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Agriculture & Environmental Science Database</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</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. 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Lowland areas have different environmental factors than highland areas. Padang City with the characteristics of a coastal area dan including the capital of West Sumatra Province has productive rice fields as one of the rice supplies in Padang City. This study aims to determine a model for estimating the growth phase of rice plants in Padang City using MODIS Imagery. The data used were MODIS image recordings from January 2021 to July 2024 with 60 image output data. Observation locations with grids or image pixels with rice field areas ≥ 50%. Based on the results of image analysis, a model was obtained for estimating the age of rice plants in Padang City, namely y = −0.000095x 2 + 0.013743x + 0.310743 with y being the NDVI value and x is the age of the rice plant with a coefficient of determination (R 2 ) value of 0.9554 in the forceful category and an RMSE value of 0.0383. 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subjects | Age Age determination Chronology Coastal zone Environmental factors Estimation Image analysis Image processing Koto Tangah District MODIS NDVI Plant layout Remote sensing Rice fields Rice Plant Age Satellite imagery |
title | Analysis of Rice Plant Age Based on NDVI Value Using MODIS Imagery (Case Study of Koto Tangah District, Padang City) |
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