4.7 Article

National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data

Journal

REMOTE SENSING
Volume 13, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/rs13081481

Keywords

pasture productivity; NDVI; remote sensing; temporal analysis; segmentation

Funding

  1. Ministry of Business Innovation and Employment [C09X1709]
  2. New Zealand Ministry of Business, Innovation & Employment (MBIE) [C09X1709] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available