Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land
The need for irrigation water is influenced by soil water content or more precisely by available water (pF 2.5 and pF 4.2). There is a need for technological breakthroughs in using Unmanned Aerial Vehicle (UAV) to identify water content quickly and broadly and accurately. The study was conducted in...
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| Format: | Article |
| Language: | English |
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University of Brawijaya
2020-04-01
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| Series: | Journal of Degraded and Mining Lands Management |
| Subjects: | |
| Online Access: | https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/652 |
| _version_ | 1818319041966637056 |
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| author | Aditya Nugraha Putra Istika Nita |
| author_facet | Aditya Nugraha Putra Istika Nita |
| author_sort | Aditya Nugraha Putra |
| collection | DOAJ |
| description | The need for irrigation water is influenced by soil water content or more precisely by available water (pF 2.5 and pF 4.2). There is a need for technological breakthroughs in using Unmanned Aerial Vehicle (UAV) to identify water content quickly and broadly and accurately. The study was conducted in an area of ±18 hectares in the Sisim Sub Watershed in September 2019 at 09.00 a.m. Aerial photographs were taken at an altitude of 100 m with DJI Phantom Pro 3.0. The number of observation points was 75 points, where 15 points for validation were calculated based on the map scale. Photo processing was made using Agisoft. The Digital Elevation Model (DEMNAS) with 8.2 m resolution was used to compare the red, green and blue bands. The analysis used was Co-Kriging Geo Statistics Analysis, the compilation of algorithms based on the regression equation and ten index formulations. Validation was done by correlation continued with the regression or paired t-test if the parameter relationship was close. The available water measured in the field ranged from 5.16-48.28%. The results showed that the formulation of soil water content could be run on the Red, Green, and Blue bands, Intensity index, TGI index, ExGreen index and DEMNAS with a weak correlation (below 0.5), where TGI had the highest value (r=0.32). A test of t-pairing was not done because of a weak correlation. The highest estimation of pF 4.2 is DEMNAS (r=0.35), and pF 2.5 was on the TGI index (r=0.4). |
| first_indexed | 2024-12-13T10:02:49Z |
| format | Article |
| id | doaj.art-ee9db839f69f4db3abd559a8c643f309 |
| institution | Directory Open Access Journal |
| issn | 2339-076X |
| language | English |
| last_indexed | 2024-12-13T10:02:49Z |
| publishDate | 2020-04-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | Journal of Degraded and Mining Lands Management |
| spelling | doaj.art-ee9db839f69f4db3abd559a8c643f3092022-12-21T23:51:36ZengUniversity of BrawijayaJournal of Degraded and Mining Lands Management2339-076X2020-04-01732221223210.15243/jdmlm.2020.073.2221287Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural landAditya Nugraha Putra0Istika Nita1Soil Science Department, Faculty of Agriculture, Brawijaya UniversitySoil Science Department, Faculty of Agriculture, Brawijaya UniversityThe need for irrigation water is influenced by soil water content or more precisely by available water (pF 2.5 and pF 4.2). There is a need for technological breakthroughs in using Unmanned Aerial Vehicle (UAV) to identify water content quickly and broadly and accurately. The study was conducted in an area of ±18 hectares in the Sisim Sub Watershed in September 2019 at 09.00 a.m. Aerial photographs were taken at an altitude of 100 m with DJI Phantom Pro 3.0. The number of observation points was 75 points, where 15 points for validation were calculated based on the map scale. Photo processing was made using Agisoft. The Digital Elevation Model (DEMNAS) with 8.2 m resolution was used to compare the red, green and blue bands. The analysis used was Co-Kriging Geo Statistics Analysis, the compilation of algorithms based on the regression equation and ten index formulations. Validation was done by correlation continued with the regression or paired t-test if the parameter relationship was close. The available water measured in the field ranged from 5.16-48.28%. The results showed that the formulation of soil water content could be run on the Red, Green, and Blue bands, Intensity index, TGI index, ExGreen index and DEMNAS with a weak correlation (below 0.5), where TGI had the highest value (r=0.32). A test of t-pairing was not done because of a weak correlation. The highest estimation of pF 4.2 is DEMNAS (r=0.35), and pF 2.5 was on the TGI index (r=0.4).https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/652aerial photographyavailable soil watergeo statisticprecision agricultureuav |
| spellingShingle | Aditya Nugraha Putra Istika Nita Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land Journal of Degraded and Mining Lands Management aerial photography available soil water geo statistic precision agriculture uav |
| title | Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land |
| title_full | Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land |
| title_fullStr | Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land |
| title_full_unstemmed | Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land |
| title_short | Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land |
| title_sort | reliability of using high resolution aerial photography red green and blue bands for detecting available soil water in agricultural land |
| topic | aerial photography available soil water geo statistic precision agriculture uav |
| url | https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/652 |
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