cl_maintenanceAndUpdateFrequency

annually

41 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
status
Scale
Resolution
From 1 - 10 / 41
  • This dataset provides a seamless cloud-free 10m resolution satellite imagery layer of the New Zealand mainland and offshore islands. The imagery was captured by the European Space Agency Sentinel-2 satellites between December 2016 - December 2017. **We want your feedback** Data has been made available by LINZ on a pilot basis to help LINZ assess the value of ongoing release of satellite imagery. Use the data, then [send us your feedback](https://landinformationnz.au1.qualtrics.com/jfe/form/SV_3syxODJTsq8bpVb) **Currency** This data will be updated once a year, during the term of the 2-year pilot. **Technical specifications** It comprises 450 x ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:50,000 tile layout. - Satellite sensors: ESA Sentinel-2A and Sentinel-2B - Acquisition dates: December 2016 - December 2017 - Spectral resolution: R, G, B - Spatial resolution: 10 meters - Radiometric resolution: 8-bits (downsampled from 12-bits) This is a visual product only. The data has been downsampled from 12-bits to 8-bits, and the original values of the images have been modified for visualisation purposes. If you require the 12-bit imagery (R, G, B, NIR bands), send your request to eo@linz.govt.nz

  • This index enables you to identify the locations of current and historic sea level stations around New Zealand, on offshore islands (including Raoul Island, Chatham Islands and the sub-Antarctic islands), several South West Pacific islands and the Ross Dependency (Antarctica). The attributes attached to each location will enable you to look up tidal levels, obtain relationships between tidal and land-based height datums, access tide predictions on LINZ’s website and find out how much sea level data LINZ has in its archive. See the LINZ website for official [tide predictions](https://www.linz.govt.nz/sea/tides/tide-predictions). View the attached data dictionary for detailed information about the attributes of this dataset. **Accessing sea level data** The data that is used to calculate tide predictions is also available. You can access publically available sea level data where a URL is provided in the data_link column. For other locations, requests for sea level data should be sent to customersupport@linz.govt.nz with “Sea Level Data” in the subject line. Requests must, as a minimum, specify the location and time period that the data is required for. Publically funded data can be released to the public under a Creative Commons licence for reuse. The provision of sea level data funded by third parties may be subject to some delay, as LINZ must obtain permission from the data owner. The owner may also attach conditions to the release of their data.

  • Spectroscopic measurements of stratospheric gases Nitrogen Dioxide (NO2), Chlorine Dioxide (OCIO), Bromine Oxide (BrO) and Ozone (O3) using scattered sunlight. Airyx and Envimeas: A dual MAX-DOAS UV/visible wavelength diode array spectrometer is deployed to measure of ozone (O3), nitrogen dioxide (NO2), chlorine dioxide (OClO) and bromine oxide (BrO). The instrument is a similar instrument to that of EnviMeas, and produces overlapping datasets with ADAS-2. Fixed azimuth direction, same as the Antarctic Diode Array spectrometer. System 2 (ADAS-2). The data are currently being held internally by NIWA. “Raw” data are times and recorded spectra of scattered light for several viewing directions. “Derived” data are column amount of NO2, OClO, BrO and O3, which can be split into tropospheric and stratospheric parts. This technique is sometimes referred to as MAX-DOAS Multiple-Axis Dual Optical Absorption Spectrometry. This work is carried out in collaboration the University of Heidelberg. ADAS2, Envimeas and Airyx measurements: UV/visible Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) diode array spectrometers making measurements of ozone (O3), nitrogen dioxide (NO2), chlorine dioxide (OClO) and bromine oxide (BrO). JY: A scanning grating UV/Vis monochromator taking measurements of total slant column of NO2 and Ozone using scattered zenith sunlight. ADAS: A CCD grating UV/Vis grating Acton spectrometer making measurements of total slant column NO2, BrO, OClO and ozone made using scattered light zenith sunlight. Pandora: Direct sun UV/Vis measurements of ozone and NO2. Campaign to test feasibility of long term deployment at Arrival Heights. Instrument timeline JY: 1982 -2023 ADAS: 1993 - 2017 ADAS2: 1998 - present Pandora: 2015 Aug – Oct. Airyx & Envimeas : 2018 – present O3, OCIO and BrO data are in the process of being archived - please contact Richard Querel for data access. NO2 data is available via the "GET DATA" link. GET DATA: https://www-air.larc.nasa.gov/missions/ndacc/data.html?station=arrival.heights

  • Measurements of chlorine monoxide (ClO) made with a Microwave Chlorine Monoxide Millimeter Wave Spectrometer (ground-based). The instrument (ClOe1) was established in January of 1996 at Scott Base and decommissioned in October 2023. A replacement radiometer (ClOe4) was installed at Scott Base in February 2023 (an overlap in the data for timeseries continuity purposes). These data are produced in collaboration with State University of New York (SUNY) Stoney Brook and Naval Research Laboratory (NRL). “Raw” data are times and recorded microwave emission spectra. “Derived” data are column amounts and vertical profile information of chlorine monoxide (ClO). The instrument has acquired the nickname "CloeTechnique" for vertical profile information uses "optimal estimation" to extract information from pressure broadening of ClO emission line. Significant failure in early 2018 only fixed in November 2018. No data in the July - October 2018 period. Data is held at NRL and in the NDACC database. Data are available as monthly .ndm files, and additional metadata are available in the header. Instrument timeline: - ClOe1 1996-2023 - ClOe4 2023 – present GET DATA: https://www-air.larc.nasa.gov/missions/ndacc/data.html?station=scott.base#

  • Measurements of total column of ozone made with Dobson spectrophotometer that measures either direct or zenith scattered ultraviolet light. The instrument was established in September of 1989 at 77° 49.8'S, 166° 39.6'E. Additionally a Brewer spectrophotometer took total column ozone measurements at Scott from 1989 to 1996. From 1989 to 2006 the Dobson (ID 17) was operated in manual mode but had an electronic encoder and computer added in 2006 for recording measurements. The data acquisition system was upgraded in Febuerary 2015 at Lauder, NZ. It is now running the JMA automation system. The Dobson (instrument ID: D17) is shipped out for maintenance and intercomparison with regional standard Dobson in Melbourne approximately every 5 years. Data (for both Dobson and Brewer) is held internally by NIWA and in the NDACC database. Data is also archived in the ozone and UV data centre Toronto, “Raw” data are times and instrument settings for instrument readings. “Derived” data are column amounts of ozone. Time line: Dobson 1987 -present Brewer 1989-1996 GET DATA: https://www-air.larc.nasa.gov/missions/ndacc/data.html?station=arrival.heights#

  • A semi-autonomous sea ice monitoring station (SIMS) was deployed to record ice temperature profiles and snow depths throughout the winter to late spring portion of the sea ice cover's growth season. These data were used to quantify the factors that govern the rate at which the sea ice grows. These factors include the local air temperature, vertical temperature gradient in the sea ice, the thickness of the overlying snow cover and the properties of the water column at the ice / water interface. The ice temperature profiles were recorded by a custom-built temperature probe designed by the University of Otago. The Otago thermistor probe consisted of twenty thermistors contained within a ~ 2.5 m long, 10 mm diameter stainless steel tube. The spacing of the thermistors in the probe was variable. This dataset provides information on the growth of the landfast sea ice and how much of this growth was due to heat loss to the atmosphere vs heat loss to the ocean. Locations: lat:-75.275700, lon:164.067300 (2022/23) Sea ice salinity and fabric cores were collected to understand sea ice growth rates, and indicate the different types of landfast sea ice (e.g. columnar versus incorporated platelet) and to determine their relative vertical positions with the sea ice cover. Sea ice, sub ice platelet layer, snow and freeboard measurements were used to validate ice thicknesses determined by analysing the sea ice temperature profiles collected by the SIMS. Snow depths were measured with a Campbell Scientific ultrasonic sensor (SR50). VIEW DATA: https://seaice.otago.ac.nz/ice-temp-graph/contour/

  • This dataset has been superseded by a new edition (3rd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/5F6780CB-4135-4204-A2C8-50DD74B0466F. This 2nd edition has been kept as a historical archive and is available on request.. This dataset is the textural metamorphic data for New Zealand. The dataset is a product of the QMAP Geological Map of New Zealand Project and was produced by GNS Science. At the time of publication it represented the most current mapping of of textural metamorphic polygons for New Zealand in a single dataset at a scale of 1:250 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises polygons with each polygon having attributes describing the textural zone (after Turnbull, I.M.; Mortimer, N.; Craw, D. 2001 Textural zones in the Haast Schist - a reappraisal. New Zealand journal of geology and geophysics 44-1: 171-183) and age. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the appropriate CGI Controlled Vocabularies. The mapping frame is defined as 'surface geology'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 250 m.

  • This dataset has been superseded by a new edition (3rd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/5F6780CB-4135-4204-A2C8-50DD74B0466F. This 2nd edition has been kept as a historical archive and is available on request.. This dataset is the mineral metamorphic data for New Zealand. The dataset is a product of the QMAP Geological Map of New Zealand Project and was produced by GNS Science. At the time of publication it represented the most current mapping of mineral metamorphic polygons for New Zealand in a single dataset at a scale of 1:250 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises polygons with each polygon having attributes describing the mineral grade and age. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the appropriate CGI Controlled Vocabularies. The mapping frame is defined as 'surface geology'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 250 m.

  • This dataset has been superseded by a new edition (3rd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/5F6780CB-4135-4204-A2C8-50DD74B0466F. This 2nd edition has been kept as a historical archive and is available on request.. This dataset is the structural measurements data for New Zealand. The dataset is a product of the QMAP Geological Map of New Zealand Project and was produced by GNS Science. At the time of publication it represented the most current collection of structure data for New Zealand in a single dataset at a scale of 1:250 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises points with each point having attributes describing the type of structure, its dip and dip direction. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the appropriate CGI Controlled Vocabularies. The mapping frame is defined as 'surface geology'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 250 m.

  • This dataset has been superseded by a new edition (3rd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/5F6780CB-4135-4204-A2C8-50DD74B0466F. This 2nd edition has been kept as a historical archive and is available on request.. This dataset is the horizons data for New Zealand. The dataset is a product of the QMAP Geological Map of New Zealand Project and was produced by GNS Science. At the time of publication it represented the most current mapping of horizons for New Zealand in a single dataset at a scale of 1:250 000. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises arcs with each arc having attributes describing the horizon name, lithology, contact relationships, geologic history and age. Typically horizons are geological units with limited width and may form the contact between adjacent geologic polygons. The data structure complies with the GeoSciML 4.1 standard for both ContactView and GeologicUnitView and uses the relevant CGI Controlled Vocabularies. The mapping frame is defined as 'surface geology'. The data should not be used at scales beyond that for which it was prepared. The spatial accuracy is estimated to be no better than +/- 250 m.