View from above: Farmland infrastructure and its impacts on agricultural landscapes
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ABSTRACT
Agricultural landscapes are shaped by the interaction between natural elements and human activities. The development of farmland infrastructure has directly added man-made objects or indirectly altered the production capacity, thereby impacting these landscapes. Earth Observation (EO), primarily satellite imagery, plays a crucial role in observing and monitoring the Earth’s surface and provides a valuable tool for understanding the pattern and structure of agricultural landscapes by offering information on land cover types. However, due to the varied and complex types, shapes, sizes, and functionalities of farmland infrastructure, the approaches and methods for observing its characteristics are limited. This limitation further obstructs the understanding of its impacts on agricultural landscapes. In this paper, we summarize the challenges and opportunities in exploring farmland infrastructure using EO and aim to comprehensively understand the interaction between natural elements and human activities in shaping agricultural landscapes. -
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REFERENCES
[1] Lesiv M., Laso Bayas J.C., See L., et al. (2019). Estimating the global distribution of field size using crowdsourcing.Glob. Chang. Biol. 25 :174–186. DOI:10.1111/GCB.1449225:174–186. DOI:10.1111/GCB.14492 [2] Duan J., Ren C., Wang S., et al., (2021). Consolidation of agricultural land can contribute to agricultural sustainability in China. Nat. Food 2 :1014–1022. DOI:10.1038/s43016-021-00415-5 [3] Mehrabi Z. (2023). Likely decline in the number of farms globally by the middle of the century. Nat. Sustain 6:949−954. DOI:10.1038/s41893-023-01110-y [4] Kaczan D.J. (2020). Can roads contribute to forest transitions. World Dev. 129:104898. DOI:10.1016/J.WORLDDEV.2020.104898 [5] Land Degrad. Dev. Wen Y., Kasielke T., Li H., et al. (2021). A case-study on history and rates of gully erosion in Northeast China. Land Degrad. Dev. 32 :4254–4266. DOI:10.1002/LDR.4031 [6] Tian F., Wu B., Zeng H., et al. (2023). A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: An application in the contiguous US. GISci. Remote Sens. 60:2165256. DOI:10.1080/15481603.2023.2165256 [7] Pretty J. (2018). Intensification for redesigned and sustainable agricultural systems. Science 362:eaav0294. DOI:10.1126/science.aav029 [8] Nowak M.M., Skowroński J., Słupecka K., et al., (2023). Introducing tree belt designer - A QGIS plugin for designing agroforestry systems in terms of potential insolation. Ecol. Inform. 75: 102012. DOI:10.1016/J.ECOINF.2023.102012 [9] Environ. Res. Lett. Wei Y., Müller D., Sun Z., et al., (2023). Exploring the emergence and changing dynamics of a new integrated rice-crawfish farming system in China. Environ. Res. Lett. 18 :064040. DOI:10.1088/1748-9326/ACD8D2 [10] Zhang N., Duan H., Shan Y., et al., (2023). Booming solar energy is encroaching on cropland.Nat. Geosci. 16 :932–934. DOI:10.1038/s41561-023-01304-1 -
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Yu Q., Hu Q., Wu H. et al. (2025). View from above: Farmland infrastructure and its impacts on agricultural landscapes. The Innovation Geoscience 3:100107. https://doi.org/10.59717/j.xinn-geo.2024.100107
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Yu Q., Hu Q., Wu H. et al. (2025). View from above: Farmland infrastructure and its impacts on agricultural landscapes. The Innovation Geoscience 3:100107. https://doi.org/10.59717/j.xinn-geo.2024.100107
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Figure 1.
Illustration of farmland infrastructure and its impacts on agricultural landscapes.
