Data - Page 8

The dataset contains polygons of soils of Hauraki Plains County mapped at 1:50000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

The dataset contains polygons of soils of King Country mapped at 1:63360. The attributes contain the soil series and the soil classification. No analytical properties of the soils are included.

EcoSat woody is a basic landcover map of New Zealand from Landsat TM imagery at 15m resolution. Classes include water, bare ground, woody cover, herbaceous cover, and snow.

Reference: John R. Dymond, James D. Shepherd, The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery, Remote Sensing of Environment, Volume 90, Issue 1, 15 March 2004, Pages 116-125, ISSN 0034-4257, DOI.

Landsat TM imagery is courtesy of the U.S. Geological Survey .

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralological characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. This layer contains best available data (as at 2000) for soil salinity which is measured as percent soluble salts (g/100g soil). High salinity is detrimental effects on plant growth and yield, can reduce water quality and soil erosion. Salinity is an important land degradation problem.

The dataset contains polygons of soils of Te Puke District mapped at 1:15000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralogical characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates. This layer contains depth to slowly permeable horizon attributes. Depth to a slowly permeable horizon describes the minimum and maximum depths (in metres) to a horizon in which the permeability is less than 4mm/hr as measured by techniques outlined in Griffiths (1985). If no slowly permeable horizon is observed, the taxon is allocated to Class 6 and a null value with numeric code -.99 is entered into the data fields. These classes, described more fully in Webb and Wilson (1995).

This data set is a mask of the temporal and non temporal changes made between land cover database v3.0 and the previous version (land cover database-2). The non-temporal changes include errors in the earlier mappings, step artefact removal, and coastline adjustments. Note: the non-temporal attribute is named "NoTemporal" due to a character length limitation.

An “authority” attribute is also available in this layer indicating the source of the change for both non-temporal and temporal changes mapped. The Authority attribute indicates who identified the change, where;

1 = Landcare Research.
2 = Regional Council or Territorial Authority.
3 = Department of Conservation.

This layer was produced with a map tolerance of 10cm.

Funding is from the Ministry for Science and Innovation under contract CO9X1101, which was contributed to by the Ministry for the Environment. The Department of Conservation and individual regional councils and territorial authorities have made significant in kind contributions by checking the draft mapping for their areas of interest.

This image comes from the European Space Agency’s Copernicus Programme taken on 10 February at 11:25 NZDT. This before image was chosen to have a similar sun angle to the after image (lris.scinfo.org.nz/layer/497-kaikoura-after-earthq... ), thus minimising differences due to illumination.

Copernicus’ six Sentinel satellites collect comprehensive pictures of our land, ocean, emergency response, atmosphere, security and climate change to understand the health of our planet. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission. Its optical instrument samples in 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution. The imagery you see on this site is derived from the four bands with a spatial resolution of 10m.

There is an on-line viewer for this and the post-earthquake image at imagery.landcareresearch.co.nz/.

In accordances with licensing please credit ESA by acknowledging "Imagery Copernicus Sentinel data, February 2016".