Optimized agricultural site selection based on geographic similarity
In this study, we proposed an optimal agricultural site selection method based on the third law of geography and geographic similarity, and took the vegetable moss growing area in Hongshan District, Wuhan, China, as an example. The geography of the source region (Hongshan District) and the target re...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-03-01
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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-M-5-2024/147/2025/isprs-archives-XLVIII-M-5-2024-147-2025.pdf |
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| _version_ | 1850037311545278464 |
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| author | Z. Qin Y. Chen Z. Sha Z. Sha |
| author_facet | Z. Qin Y. Chen Z. Sha Z. Sha |
| author_sort | Z. Qin |
| collection | DOAJ |
| description | In this study, we proposed an optimal agricultural site selection method based on the third law of geography and geographic similarity, and took the vegetable moss growing area in Hongshan District, Wuhan, China, as an example. The geography of the source region (Hongshan District) and the target region (Hubei Province) was examined and the temperature, precipitation, topographical factors and soil were selected as the environmental covariates. The specific design of the experiment included the steps of creating sample points and points to be inferred, classifying the environmental factors, calculating and ranking geographic environmental similarity, and modifying in missing values. The results showed that the areas with high similarity between the source and target regions were mainly concentrated in the southeastern part of Hubei, i.e., the area suitable for growing Hongshan vegetable moss, while the western part of Hubei was mostly a low-similarity area. The methodology of this study provides an important theoretical reference for crop site selection and is of practical application. |
| format | Article |
| id | doaj-art-224cfee05438439da9cf91cf55c03b9d |
| institution | DOAJ |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-224cfee05438439da9cf91cf55c03b9d2025-08-20T02:56:54ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-03-01XLVIII-M-5-202414715210.5194/isprs-archives-XLVIII-M-5-2024-147-2025Optimized agricultural site selection based on geographic similarityZ. Qin0Y. Chen1Z. Sha2Z. Sha3School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Hubei, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Hubei, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Hubei, ChinaKey Laboratory of Natural Resources Monitoring in Tropical and Subtropical area of South China, Ministry of Natural Resources, Guangzhou, 510631, Guangdong, ChinaIn this study, we proposed an optimal agricultural site selection method based on the third law of geography and geographic similarity, and took the vegetable moss growing area in Hongshan District, Wuhan, China, as an example. The geography of the source region (Hongshan District) and the target region (Hubei Province) was examined and the temperature, precipitation, topographical factors and soil were selected as the environmental covariates. The specific design of the experiment included the steps of creating sample points and points to be inferred, classifying the environmental factors, calculating and ranking geographic environmental similarity, and modifying in missing values. The results showed that the areas with high similarity between the source and target regions were mainly concentrated in the southeastern part of Hubei, i.e., the area suitable for growing Hongshan vegetable moss, while the western part of Hubei was mostly a low-similarity area. The methodology of this study provides an important theoretical reference for crop site selection and is of practical application.https://isprs-archives.copernicus.org/articles/XLVIII-M-5-2024/147/2025/isprs-archives-XLVIII-M-5-2024-147-2025.pdf |
| spellingShingle | Z. Qin Y. Chen Z. Sha Z. Sha Optimized agricultural site selection based on geographic similarity The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Optimized agricultural site selection based on geographic similarity |
| title_full | Optimized agricultural site selection based on geographic similarity |
| title_fullStr | Optimized agricultural site selection based on geographic similarity |
| title_full_unstemmed | Optimized agricultural site selection based on geographic similarity |
| title_short | Optimized agricultural site selection based on geographic similarity |
| title_sort | optimized agricultural site selection based on geographic similarity |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-M-5-2024/147/2025/isprs-archives-XLVIII-M-5-2024-147-2025.pdf |
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