Mapping bare ground in New Zealand hill-country agriculture and forestry for soil erosion risk assessment: An automated satellite remote-sensing method
Removing vegetation cover from hill-slope land increases risk for soil erosion and delivery of sediment to waterways. In New Zealand's productive landscapes, clear-fell harvesting of forestry blocks and winter forage grazing by agricultural livestock are two significant causes of vegetation rem...
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Veröffentlicht in: | Journal of environmental management 2022-01, Vol.301, p.113812-113812, Article 113812 |
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Sprache: | eng |
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Zusammenfassung: | Removing vegetation cover from hill-slope land increases risk for soil erosion and delivery of sediment to waterways. In New Zealand's productive landscapes, clear-fell harvesting of forestry blocks and winter forage grazing by agricultural livestock are two significant causes of vegetation removal. Bare ground exposed by these activities varies annually and seasonally in location and spatial extent. Modelling soil erosion therefore requires temporally and spatially explicit mapping of this bare ground. We have developed an automated mapping method using time-series satellite imagery, thereby enabling wide-area coverage and ease of updating. The temporal analysis identifies land use along with the period of vegetation removal. It produces results per land parcel (in vector format) for use in a Geographic Information System. We present a description of our method, national maps and statistics of bare ground extent in New Zealand's hill-country forestry and winter forage grazing land in 2018, and an assessment of accuracy. The attributes of the mapped land parcels are designed for input into a soil erosion estimation model such as the New Zealand Universal Soil Loss Equation.
•Winter forage grazing and forestry harvesting are key causes of vegetation removal.•Key hill-country land uses were mapped by analysis of time-series satellite imagery.•De-vegetation of land parcels was quantified for surficial soil erosion modelling.•Results are in provided in vector format for combination with other spatial data.•Automation of method enables efficient mapping at national scale. |
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ISSN: | 0301-4797 1095-8630 |
DOI: | 10.1016/j.jenvman.2021.113812 |