Smap Predicted Carbon August 2020

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2069
67
Added
20 Sep 2020

This dataset was first added to LRIS Portal on 20 Sep 2020.

Spatial surface estimates of soil carbon stock (units tonnes per hectare) for the 0–30cm layer, over the land surface of New Zealand, based on a generalised linear regression model using environmental classification, national soil layer, and climate layers as explanatory variables, with a correction for spatial auto correlation of data samples. Estimates are made on a grid where each grid cell has dimensions 1,000 m x 1,000 m (100 ha). The value at each grid cell is our best estimate of the mean soil carbon stock across the area occupied by each grid cell.
A number of data layers were acquired to act as explanatory layers for the prediction of soil carbon. Soil data includes the MfE Historic Soils Database (under an agreement with MfE), the NSD (LandcareResearch New Zealand 2012), the SINDI soil quality dataset (Landcare Research New Zealand 2012), and the LMI soils dataset (under an agreement with Plant and Food Research 2011).Additional explanatory data layers were obtained from the LENZ data set (Landcare Research New Zealand), including the LENZ climate layers (e.g. mean annual rainfall) as well as environmental classification layers (LENZ level 1, 2, 3, and 4), from the Koordinates data portal (Koordinates 2012). In addition, the natural potential vegetation layer (Leathwick 2001) is used as an indicator of vegetation prior to agricultural development. These layers were augmented by explanatory layers acquired from the LRIS portal (Landcare Research 2012), consisting of national maps of basic soil properties (soil order, exchangeable calcium, acid soluble phosphorus, rock class, mid-estimate of surface outcrops, annual water deficit). Additional 0–30cm carbon stock data was obtained by using SINDI data (derived from 0–10cm depth samples) along with NSD data and a regression model to infer 0–30cm soil carbon stocks (tonnes/ha) at the centre of each pixel.
This data is owned by the Ministry of Primary Industries (MPI)).

Layer ID 105005
Data type Grid
Resolution 1000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Predicted Carbon August 2022

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

179
3
Added
20 Aug 2022

This dataset was first added to LRIS Portal on 20 Aug 2022.

Spatial estimates of gravimetric soil carbon (%) for the 0–7.5 topsoil layer, over the land surface of New Zealand. It was derived using gradient boosting regression from a range of environmental classification, national soil classification, and climate layers as explanatory variables.

The model was calibrated on a large number of samples (approx. 17,000 laboratory samples) assembled from a range of different soil science projects, including data in the National Soil Repository Database (NSDR), the Land Management Index (LMI) dataset, and the GNS geochemical baseline dataset.

Estimates of soil carbon are made on a grid where each grid cell has dimensions 100 m x 100 m (1 ha). The value at each grid cell is our best estimate of the average soil carbon percent at the centre point of each grid cell.

Layer ID 110217
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed