A high-resolution dataset of farmland area in the Tibetan Plateau
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| Autores principales: | , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2021
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| _version_ | 1867171877252759552 |
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| author | Wei, Hui Lu, Changhe |
| author_facet | Wei, Hui Lu, Changhe |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | It is of practical significance for optimizing and adjusting the farmland spatial utilization and maintaining regional food security to identify the spatial distribution of farmland resources. Farmland space research depends on the land use data that accurately reflects the spatial information. At present, the resolution of existing land use data is low, ranging from 10 m to 8 km. Among them, the 30 m-resolution land use data compiled using the Landsat images, as released by the Resource and Environmental Science and Data Center of the Chinese Academy of Sciences are the highest resolution and long-term series data product available for China. However, by high-resolution image interpretation and field verification, we found that the dataset involved large deviations and uncertainties, mainly due to the reasons that the farmland in Tibetan Plateau (TP) was fragmented with small parcels, and thus cannot be accurately extracted from the Landsat images. To this end, the 1 m-resolution farmland dataset was visually interpreted from Google Earth high-resolution images in this study, which contained farmland of the TP in 2018, and that of the Three River Region (TRR) and Huangshui River Basin (HRB) in 2000 and 2018. The objects in the Google Earth high-resolution images were clearly distinguishable, and the farming characteristics of land were obvious, ensuring the accuracy of the interpretation results. In addition, this study randomly checked 230 plots collected by field surveys in 2018–2021, finding that 95.22% of the farmland parcels has been correctly identified, which further improved the reliability of the interpreted farmland dataset. This farmland dataset can provide references for farmland and agriculture research in the TP. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_937400 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A high-resolution dataset of farmland area in the Tibetan Plateau Wei, Hui Lu, Changhe Farmland; high-resolution; The Tibetan Plateau; visual interpretation It is of practical significance for optimizing and adjusting the farmland spatial utilization and maintaining regional food security to identify the spatial distribution of farmland resources. Farmland space research depends on the land use data that accurately reflects the spatial information. At present, the resolution of existing land use data is low, ranging from 10 m to 8 km. Among them, the 30 m-resolution land use data compiled using the Landsat images, as released by the Resource and Environmental Science and Data Center of the Chinese Academy of Sciences are the highest resolution and long-term series data product available for China. However, by high-resolution image interpretation and field verification, we found that the dataset involved large deviations and uncertainties, mainly due to the reasons that the farmland in Tibetan Plateau (TP) was fragmented with small parcels, and thus cannot be accurately extracted from the Landsat images. To this end, the 1 m-resolution farmland dataset was visually interpreted from Google Earth high-resolution images in this study, which contained farmland of the TP in 2018, and that of the Three River Region (TRR) and Huangshui River Basin (HRB) in 2000 and 2018. The objects in the Google Earth high-resolution images were clearly distinguishable, and the farming characteristics of land were obvious, ensuring the accuracy of the interpretation results. In addition, this study randomly checked 230 plots collected by field surveys in 2018–2021, finding that 95.22% of the farmland parcels has been correctly identified, which further improved the reliability of the interpreted farmland dataset. This farmland dataset can provide references for farmland and agriculture research in the TP. |
| title | A high-resolution dataset of farmland area in the Tibetan Plateau |
| topic | Farmland; high-resolution; The Tibetan Plateau; visual interpretation |
| url | https://doi.org/10.1594/PANGAEA.937400 |