Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.

This is a scanned image of a geological map which is part of the publication by Wells and O'Brien (1994). It shows the geology of the Clarence-Moreton Basin.

Wells, AT and O'Brien, PE (compilers and editors) (1994a) Geology and petroleum potential of the Clarence-Moreton Basin, New South Wales and Queensland. Australian Geological Survey Organisation, Bulletin 241. Australian Geological Survey Organisation, Canberra.

Dataset History

This is a scanned image of a geological map which is part of the publication by Wells and O'Brien (1994). It shows the geology of the Clarence-Moreton Basin.

It was geo-referenced using Global Mapper software.

Reference: Wells, AT and O'Brien, PE (compilers and editors) (1994a) Geology and petroleum potential of the Clarence-Moreton Basin, New South Wales and Queensland. Australian Geological Survey Organisation, Bulletin 241. Australian Geological Survey Organisation, Canberra.

Dataset Citation

Australian Geological Survey Organisation (2015) CLM - Geology and Petroleum potential image. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/3b5b0b66-d0fb-4b79-a0c1-5cd3719b44fc.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains a shapefile of the West Ipswich fault line. It was digitised from a map in: Wells, AT and O'Brien, PE (compilers and editors) (1994a). Geology and petroleum potential of the Clarence-Moreton Basin, New South Wales and Queensland. Australian Geological Survey Organisation, Bulletin 241, 302pp.

Dataset History

The West Ipswich Fault has been digitised from a registered image of map sheet "Geology of the Clarence-Moreton Basin" by Wells and O'Brien 1994.

The image name in the Bioregional Assessment repository is 'Registered_image_Wells_and_OBrien ' (http://data.bioregionalassessments.gov.au/dataset/3b5b0b66-d0fb-4b79-a0c1-5cd3719b44fc).

The image has been geo-referenced in Global Mapper and imported into GoCAD, where the fault line has been digitised. It was then exported from GoCAD as a shapefile.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - west Ipswich fault line spatial layer. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/243ee82e-565a-4af3-b392-a8ad434497a7.

Dataset Ancestors

• Derived From CLM - Geology and Petroleum potential image

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains x,y,z data of the topographic surface at a 200 m resolution. It is based on the 1 second SRTM dataset.

Purpose

The dataset forms one of the critical datasets for the development of three-dimensional geological models in the Clarence-Moreton bioregion.

Dataset History

The x,y,z data were extracted from the 1 second SRTM (see Lineage) using Global Mapper software. The dataset forms one of the critical datasets for the development of three-dimensional geological models in the Clarence-Moreton bioregion.

Dataset Citation

Bioregional Assessment Programme (XXXX) Clarence-Moreton 200m grid DEM. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/cb66145b-ee39-45ee-bb46-a89da99be5fe.

Dataset Ancestors

• Derived From Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)

LIDAR (.LAZ x2 files): data from Cape Bruguieres Channel, as published in Benjamin et al (2020) PLOS ONE article. From the Article: “the team deployed a Diamond Aircraft HK36TTC-ECO Dimona motorglider with two LiDAR systems mounted in under-wing pods: a Riegl Q680i-S (topographic) and a Riegl VQ-820-G (topo-bathymetric), each combined with a tactical grade IMU/GPS system (Novatel SPAN ISA/LCI). A Canon 5D Mk4 was fitted with an EF 24 mm (f/1.4LII USM) lens and co-mounted with the Q680i-S. Point cloud density ranged between 10 and 20 points/m2, and data was processed and converted to a Digital Elevation Model (DEM) using the Global Mapper LiDAR module."

GCP (.xls 1 file): Trimble Net R9 dGPS data with Trimble RTX Satellite Subscription. Data acquired by the Deep History of Sea Country Project Team.

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.

This image was scanned from an unpublished report by Parsons Brinckerhoff (2013) and commissioned by Metgasco Lmd. It shows the geology, petroleum exploration licenses and a potential coal seam gas development area west of Casino in north-eastern NSW.

Parsons Brinckerhoff (2013) Preliminary numerical groundwater modelling report. Prepared for Metgasco Limited, Document No: 2193251B-WAT-PRE-001 RevA, dated 16 December 2013.

Dataset History

This image was scanned from an unpublished report by Parsons Brinckerhoff (2013) and commissioned by Metgasco Lmd. It shows the geology, petroleum exploration licenses and a potential coal seam gas development area west of Casino in north-eastern NSW.

It was geo-referenced using Global Mapper software.

Dataset Citation

Parsons Brinckerhoff (2015) CLM - Metgasco WestCasino PB2013. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/b80d3d41-ff50-4220-a357-105445938e74.

Modèle Numérique de Terrain (MNT) en projection Lambert-93 / NGF-IGN69 sur la commune de Saint-Pourçain-sur-Sioule (42 km²) au pas de 1 m. Le modèle est découpé en 68 dalles géoréférencées d’emprise 1000 x 1000 m, au format ESRI ASCII Grid, représentant un volume de 1.12 Go. Ce MNT a été réalisé en interne par le CRAIG en septembre 2021 pour les besoins du projet de Plan de Corps de Rue Simplifié (PCRS). Il se présente sous la forme d'une grille régulière générée par interpolation à partir de points « sol » de plusieurs semis de points LiDAR. En cas d’absence de points « sol » (rivière, maison…) la grille est calculée à partir des points les plus proches. Sur certains ouvrages d'art, des lignes de ruptures ont été ajoutées pour améliorer le modèle. Sa production a été réalisée à partir de plusieurs sources différentes : - La partie Ouest a été produite à partir d'un semis de points LiDAR brut d'une densité minimale de 2 points / m², acquis en 2018 par APEI et SETIS. Ce semis a été classifié à l'aide du logiciel Global Mapper. - La partie Nord-Est est issue d'un semis de points LiDAR classifié d'une densité minimale de 2 points / m², acquis en 2018 par IMAO et ASP. - Une zone au Sud-Est non couverte par les acquisitions LiDAR du CRAIG à été complétée avec le RGE Alti 1 m produit par l'IGN. Sur cette zone, le modèle est en partie issu d'acquisitions LiDAR d'une densité théorique de 2 points / m² et en partie de corrélation automatique sur des PVA HR (pixel ~25 cm) de l'IGN (cf. https://geoservices.ign.fr/rgealti). Ces différentes acquisitions ont été réalisées entre 2009 et 2017. La précision du modèle dépend ainsi de la zone et du mode d'acquisition : - Sur les zones LiDAR du CRAIG, la précision est de 10 cm en altimétrie (Z) et de 20 cm en planimétrie (XY) - Sur les zones LiDAR issues du RGE Alti 1 m, la précision est de 20 cm en altimétrie (Z) et de 60 cm en planimétrie (XY) - Sur la zone en corrélation automatique issue du RGE Alti 1 m, la précision est de 70 cm en altimétrie (Z).