Improvement of a land fragmentation measurement model based on natural surface elements and road network
Land fragmentation is one of the most important factors hindering the mechanization and scale of agriculture. To further alleviate the negative impact of arable land fragmentation, a more accurate model for measuring arable land fragmentation is needed. Using 0.1 resolution UAV images and farm surve...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1017599/full |
| _version_ | 1797995593251946496 |
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| author | Lanlan Su Yuluan Zhao Mingshun Long Xiubin Li |
| author_facet | Lanlan Su Yuluan Zhao Mingshun Long Xiubin Li |
| author_sort | Lanlan Su |
| collection | DOAJ |
| description | Land fragmentation is one of the most important factors hindering the mechanization and scale of agriculture. To further alleviate the negative impact of arable land fragmentation, a more accurate model for measuring arable land fragmentation is needed. Using 0.1 resolution UAV images and farm survey data, we obtained spatial and tenure data of farming land in Baidu Village through ArcGis and other software, and analyzed the results and correlations of farming plot area, plot shape and plot dispersion indicators in the study area. A road accessibility index that integrates terrain slope and road network is proposed to characterize the dispersion of land parcels for the first time, and is compared with two road accessibility models that do not take into account terrain slope and road network. The results show that the dispersion index of farm plots is the most influential indicator on the fragmentation of farm plots, followed by the area index of farm plots, and finally the shape index of farm plots; the new model of measuring the fragmentation of farm plots based on natural surface elements and road networks is closer to the real situation and more accurate in portraying the degree of fragmentation of farm plots. |
| first_indexed | 2024-04-11T10:04:03Z |
| format | Article |
| id | doaj.art-7c1d14e6ee374982adfadef631f25917 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-04-11T10:04:03Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-7c1d14e6ee374982adfadef631f259172022-12-22T04:30:17ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-10-011010.3389/fenvs.2022.10175991017599Improvement of a land fragmentation measurement model based on natural surface elements and road networkLanlan Su0Yuluan Zhao1Mingshun Long2Xiubin Li3College of Geography and Environmental Science, Guizhou Normal University, Guiyang, ChinaCollege of Geography and Environmental Science, Guizhou Normal University, Guiyang, ChinaCollege of Geography and Environmental Science, Guizhou Normal University, Guiyang, ChinaInstitute of Geographic Sciences and Natural Resources Research, CAS, Beijing, ChinaLand fragmentation is one of the most important factors hindering the mechanization and scale of agriculture. To further alleviate the negative impact of arable land fragmentation, a more accurate model for measuring arable land fragmentation is needed. Using 0.1 resolution UAV images and farm survey data, we obtained spatial and tenure data of farming land in Baidu Village through ArcGis and other software, and analyzed the results and correlations of farming plot area, plot shape and plot dispersion indicators in the study area. A road accessibility index that integrates terrain slope and road network is proposed to characterize the dispersion of land parcels for the first time, and is compared with two road accessibility models that do not take into account terrain slope and road network. The results show that the dispersion index of farm plots is the most influential indicator on the fragmentation of farm plots, followed by the area index of farm plots, and finally the shape index of farm plots; the new model of measuring the fragmentation of farm plots based on natural surface elements and road networks is closer to the real situation and more accurate in portraying the degree of fragmentation of farm plots.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1017599/fullland fragmentationterrain slopewalking speedroad networkGISmeasurement models |
| spellingShingle | Lanlan Su Yuluan Zhao Mingshun Long Xiubin Li Improvement of a land fragmentation measurement model based on natural surface elements and road network Frontiers in Environmental Science land fragmentation terrain slope walking speed road network GIS measurement models |
| title | Improvement of a land fragmentation measurement model based on natural surface elements and road network |
| title_full | Improvement of a land fragmentation measurement model based on natural surface elements and road network |
| title_fullStr | Improvement of a land fragmentation measurement model based on natural surface elements and road network |
| title_full_unstemmed | Improvement of a land fragmentation measurement model based on natural surface elements and road network |
| title_short | Improvement of a land fragmentation measurement model based on natural surface elements and road network |
| title_sort | improvement of a land fragmentation measurement model based on natural surface elements and road network |
| topic | land fragmentation terrain slope walking speed road network GIS measurement models |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1017599/full |
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