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The layers in this category (e.g. cartographic text, transport and water) can be overlaid on your map as contextual information.

Forestry site suitability is defined based on ranges in volume productivity, mean annual temperature, maximum October temperature, October frosts, February water deficits, and wind exposure. This layer was created using Python scripts and ArcGIS python libraries which classified the data into four suitability classes: Well Suited, Suitable, Marginally Suited and Unsuitable. The overall suitability index of a crop at a specific location is determined by the lowest (most limiting) index value among all the factors at that location. Suitability rules were generated from the literature and through consultation with experts. The soil information is derived from the fundamental soil layers (FSL) from Manaaki Whenua – Landcare Research. The soil data is resampled on a 500x500m grid. The climate data is the 5x5km Virtual Climate Station Network (VCSN) grid from NIWA.

This dataset was produced as part of the Land Use Opportunities: Whitiwhiti Ora research programme funded by the Our Land and Water National Science Challenge. Further information about this layer and links to download the data, can be found at the Whitiwhiti Ora Data Supermarket.

N.B. The information provided here is not sufficiently accurate for detailed farm-scale use.

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Add features of interest to generate a report

To draw a custom area on the map
  • Click multiple times around the map to create a custom area
  • To close your selection area, double click on the map or click on your starting point

Loading...
Custom features

loading...

  • ...
Predefined features

loading...

Add features from the "Feature report" pane to get details reports.
You will find all saved features here.

The layers in this category (e.g. cartographic text, transport and water) can be overlaid on your map as contextual information.

Forestry site suitability is defined based on ranges in volume productivity, mean annual temperature, maximum October temperature, October frosts, February water deficits, and wind exposure. This layer was created using Python scripts and ArcGIS python libraries which classified the data into four suitability classes: Well Suited, Suitable, Marginally Suited and Unsuitable. The overall suitability index of a crop at a specific location is determined by the lowest (most limiting) index value among all the factors at that location. Suitability rules were generated from the literature and through consultation with experts. The soil information is derived from the fundamental soil layers (FSL) from Manaaki Whenua – Landcare Research. The soil data is resampled on a 500x500m grid. The climate data is the 5x5km Virtual Climate Station Network (VCSN) grid from NIWA.

This dataset was produced as part of the Land Use Opportunities: Whitiwhiti Ora research programme funded by the Our Land and Water National Science Challenge. Further information about this layer and links to download the data, can be found at the Whitiwhiti Ora Data Supermarket.

N.B. The information provided here is not sufficiently accurate for detailed farm-scale use.

Select a layer to view its associated legend.
  {{legend.shortName}} {{ legend.shortName }}
 
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