期刊
REMOTE SENSING
卷 13, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/rs13081481
关键词
pasture productivity; NDVI; remote sensing; temporal analysis; segmentation
类别
资金
- Ministry of Business Innovation and Employment [C09X1709]
- New Zealand Ministry of Business, Innovation & Employment (MBIE) [C09X1709] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)
A national map of pasture productivity was developed using satellite imagery and pasture yield data, allowing evaluation of land-use suitability and stratification of grasslands. The model showed high predictive accuracy and was valuable for spatial analysis of regional aggregates, benefiting land use and environmental science.
A national map of pasture productivity, in terms of mass of dry matter yield per unit area and time, enables evaluation of regional and local land-use suitability. Difficulty in measuring this quantity at scale directed this research, which utilises four years of Sentinel-2 satellite imagery and collected pasture yield measurements to develop a model of pasture productivity. The model uses a Normalised Difference Vegetation Index (NDVI), with spatio-temporal segmentation and averaging, to estimate mean annual pasture productivity across all of New Zealand's grasslands with a standard error of prediction of 2.2 t/ha/y. Regional aggregates of pasture yield demonstrate expected spatial variations. The pasture productivity map may be used to classify grasslands objectively into stratified levels of production on a national scale. Due to its ability to highlight areas of land use intensification suitability, the national map of pasture productivity is of value to landowners, land users, and environmental scientists.
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