CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS
Wheat is one of the primary crop productions for half of the global production. It is the most exported cereal, which reached up to 40% according to the records of the Food and Agriculture Organization of the United Nations (FAO) in 2020. The relationship between the crop parameters and remote sensi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-03-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/267/2024/isprs-archives-XLVIII-4-W9-2024-267-2024.pdf |
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| author | O. G. Narin C. Bayik A. Sekertekin S. Madenoglu M. O. Pinar S. Abdikan F. Balik Sanli |
| author_facet | O. G. Narin C. Bayik A. Sekertekin S. Madenoglu M. O. Pinar S. Abdikan F. Balik Sanli |
| author_sort | O. G. Narin |
| collection | DOAJ |
| description | Wheat is one of the primary crop productions for half of the global production. It is the most exported cereal, which reached up to 40% according to the records of the Food and Agriculture Organization of the United Nations (FAO) in 2020. The relationship between the crop parameters and remote sensing tools has become essential for the temporal monitoring and estimations of crop growth. In this study, we investigate the relationship between crop height and Synthetic Aperture Radar (SAR) backscatter. Plant height was collected twice, in the early (13 April 2023) and late stages (21 June 2023) of wheat, for a total of 70 samples. Sentinel-1 SAR data was also attempted to be synchronized with ground measurements. For this purpose, 8 images were obtained, 4 in both ascending (8 and 15 April, 16 and 26 June) and descending (9 and 14 April, 20 and 25 June) directions. The basic steps of image pre-processing, calibration, filtering, and topography correction, were applied to each image. By evaluating the correlation coefficients between plant height and images, data with low correlations were excluded and the first three data, dated 8 April and 19 June, were used for plant height estimation. For prediction purposes, Linear Regression (LR) and Random Forest (RF) methods were evaluated with three different training data sets. The highest correlation and minimum error value were achieved by VH polarization with random forest (r = 0.868, RMSE = 5.377 cm) in the early stage and LR (r = 0.616, RMSE = 14.451 cm) in the late stage. In general, higher training (80%) and lower test data (20%) produced better results. |
| first_indexed | 2024-04-25T01:26:32Z |
| format | Article |
| id | doaj.art-255b31e4a9c04035a02de02fe157e6ab |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-25T01:26:32Z |
| publishDate | 2024-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-255b31e4a9c04035a02de02fe157e6ab2024-03-08T19:32:17ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-03-01XLVIII-4-W9-202426727310.5194/isprs-archives-XLVIII-4-W9-2024-267-2024CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTSO. G. Narin0C. Bayik1A. Sekertekin2S. Madenoglu3M. O. Pinar4S. Abdikan5F. Balik Sanli6Department of Geomatics Engineering, Afyon Kocatepe University, Afyonkarahisar, TürkiyeDepartment of Geomatics Engineering, Zonguldak Bülent Ecevit University, Zonguldak, TürkiyeDepartment of Architecture and Town Planning, Igdir University, Igdir, TürkiyeMinistry of Agriculture and Forestry, General Directorate of Agricultural Research and Policies (TAGEM), Ankara, TürkiyeMinistry of Agriculture and Forestry, TAGEM, Transitional Zone Agricultural Research Institute, Eskisehir, TürkiyeDepartment of Geomatics Engineering, Hacettepe University, Ankara, TürkiyeDepartment of Geomatics Engineering, Yildiz Technical University, Istanbul, TürkiyeWheat is one of the primary crop productions for half of the global production. It is the most exported cereal, which reached up to 40% according to the records of the Food and Agriculture Organization of the United Nations (FAO) in 2020. The relationship between the crop parameters and remote sensing tools has become essential for the temporal monitoring and estimations of crop growth. In this study, we investigate the relationship between crop height and Synthetic Aperture Radar (SAR) backscatter. Plant height was collected twice, in the early (13 April 2023) and late stages (21 June 2023) of wheat, for a total of 70 samples. Sentinel-1 SAR data was also attempted to be synchronized with ground measurements. For this purpose, 8 images were obtained, 4 in both ascending (8 and 15 April, 16 and 26 June) and descending (9 and 14 April, 20 and 25 June) directions. The basic steps of image pre-processing, calibration, filtering, and topography correction, were applied to each image. By evaluating the correlation coefficients between plant height and images, data with low correlations were excluded and the first three data, dated 8 April and 19 June, were used for plant height estimation. For prediction purposes, Linear Regression (LR) and Random Forest (RF) methods were evaluated with three different training data sets. The highest correlation and minimum error value were achieved by VH polarization with random forest (r = 0.868, RMSE = 5.377 cm) in the early stage and LR (r = 0.616, RMSE = 14.451 cm) in the late stage. In general, higher training (80%) and lower test data (20%) produced better results.https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/267/2024/isprs-archives-XLVIII-4-W9-2024-267-2024.pdf |
| spellingShingle | O. G. Narin C. Bayik A. Sekertekin S. Madenoglu M. O. Pinar S. Abdikan F. Balik Sanli CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS |
| title_full | CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS |
| title_fullStr | CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS |
| title_full_unstemmed | CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS |
| title_short | CROP HEIGHT ESTIMATION OF WHEAT USING SENTINEL-1 SATELLITE IMAGERY: PRELIMINARY RESULTS |
| title_sort | crop height estimation of wheat using sentinel 1 satellite imagery preliminary results |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/267/2024/isprs-archives-XLVIII-4-W9-2024-267-2024.pdf |
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