Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study
This research focuses on studying the distribution of paddy fields in Kelantan between 2016 and 2021, utilizing Geographic Information System (GIS) and satellite imagery from Landsat 8 acquired through remote sensing. The primary objective is to examine the spatial distribution of paddy fields withi...
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/18/bioconf_ctress2023_05010.pdf |
| _version_ | 1797353154274131968 |
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| author | Mohd Aris Nur Atikah Daliman Shaparas Rendra Pradnya Paramarta Raditya Sukiyah Emi Hadian Mohamad Sapari Dwi Sulaksana Nana |
| author_facet | Mohd Aris Nur Atikah Daliman Shaparas Rendra Pradnya Paramarta Raditya Sukiyah Emi Hadian Mohamad Sapari Dwi Sulaksana Nana |
| author_sort | Mohd Aris Nur Atikah |
| collection | DOAJ |
| description | This research focuses on studying the distribution of paddy fields in Kelantan between 2016 and 2021, utilizing Geographic Information System (GIS) and satellite imagery from Landsat 8 acquired through remote sensing. The primary objective is to examine the spatial distribution of paddy fields within a specific area in Kelantan and analyze changes that occurred during the mentioned time frame. By combining satellite images, GPS technology, the study aimed to offer comprehensive insights into distribution patterns and changes in paddy fields, which can inform decisions related to paddy field production and agricultural management. Maps of Kelantan were obtained from Earth Explorer websites, processed, and analyzed to calculate vegetation indices like Enhanced Vegetation Index (EVI), Normal Difference Vegetation Index (NDVI), and Soil-Adjusted Vegetation Index (SAVI). The study's key findings reveal the distribution of paddy fields in Kelantan, with an area of 27,420.88 hectares in 2021, marking a 2.31% decrease compared to the previous year's 28,863.91 hectares. The research successfully achieved its goals, assessing vegetation indices and creating a distribution map of paddy fields in Kelantan. These findings have the potential to contribute to effective agricultural management and decision-making processes in the study area. |
| first_indexed | 2024-03-08T13:27:04Z |
| format | Article |
| id | doaj.art-fa2177bae50d4abeb9cac81e349098a8 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-03-08T13:27:04Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-fa2177bae50d4abeb9cac81e349098a82024-01-17T14:53:37ZengEDP SciencesBIO Web of Conferences2117-44582023-01-01730501010.1051/bioconf/20237305010bioconf_ctress2023_05010Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case StudyMohd Aris Nur Atikah0Daliman Shaparas1Rendra Pradnya Paramarta Raditya2Sukiyah Emi3Hadian Mohamad Sapari Dwi4Sulaksana Nana5Faculty of Earth Science, Universiti Malaysia KelantanFaculty of Earth Science, Universiti Malaysia KelantanDepartment of Applied Geology, Faculty of Geological Engineering, Universitas PadjadjaranDepartment of Science Geology, Faculty of Geological Engineering, Universitas PadjadjaranDepartment of Applied Geology, Faculty of Geological Engineering, Universitas PadjadjaranDepartment of Applied Geology, Faculty of Geological Engineering, Universitas PadjadjaranThis research focuses on studying the distribution of paddy fields in Kelantan between 2016 and 2021, utilizing Geographic Information System (GIS) and satellite imagery from Landsat 8 acquired through remote sensing. The primary objective is to examine the spatial distribution of paddy fields within a specific area in Kelantan and analyze changes that occurred during the mentioned time frame. By combining satellite images, GPS technology, the study aimed to offer comprehensive insights into distribution patterns and changes in paddy fields, which can inform decisions related to paddy field production and agricultural management. Maps of Kelantan were obtained from Earth Explorer websites, processed, and analyzed to calculate vegetation indices like Enhanced Vegetation Index (EVI), Normal Difference Vegetation Index (NDVI), and Soil-Adjusted Vegetation Index (SAVI). The study's key findings reveal the distribution of paddy fields in Kelantan, with an area of 27,420.88 hectares in 2021, marking a 2.31% decrease compared to the previous year's 28,863.91 hectares. The research successfully achieved its goals, assessing vegetation indices and creating a distribution map of paddy fields in Kelantan. These findings have the potential to contribute to effective agricultural management and decision-making processes in the study area.https://www.bio-conferences.org/articles/bioconf/pdf/2023/18/bioconf_ctress2023_05010.pdf |
| spellingShingle | Mohd Aris Nur Atikah Daliman Shaparas Rendra Pradnya Paramarta Raditya Sukiyah Emi Hadian Mohamad Sapari Dwi Sulaksana Nana Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study BIO Web of Conferences |
| title | Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study |
| title_full | Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study |
| title_fullStr | Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study |
| title_full_unstemmed | Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study |
| title_short | Integrating Remote Sensing and GIS Techniques for Accurate Mapping and Analysis of Paddy Field Distribution in Kelantan: A Case Study |
| title_sort | integrating remote sensing and gis techniques for accurate mapping and analysis of paddy field distribution in kelantan a case study |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2023/18/bioconf_ctress2023_05010.pdf |
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