Datasets produced by Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability (NERC grant NE/K011626/1)
Data consist of field spectral reflectance measurements and surface photographs of cyanobacterial soil crusts and other surficial materials in Diamantina National Park, Queensland. Data were collected as part of project NE/K011626/1 (associated with NE/K011464/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability. The reflectance data and associated surface photographs are of biological and physical soil crusts developed on claypan and sand dune surfaces alongside the Diamantina River (specifically on and around Lake Constance pan and Homestead pan. Data were collected and processed by Kevin White and Ian Davenport, using a Spectra Vista Hr1024i spectrometer with a spectralon reference panel. All data were processed using SVC Hr1024i PC Data acquisition software (version 1.6.7 Beta) to remove areas of spectral overlap. Photographs taken using a range of mobile device cameras. All field photographs are in JPEG (jpg) format. Data were collected for the purpose of assessing the ability to remotely sense presence/absence of cyanobacterial soil crusts for mapping purposes. Data are organised into a directory structure based on specific field experiments, each with its own directory structure. Dataset 1: Calcrete Reflectance Spectra, Diamantina National Park. Calcrete exposures are common in Diamantina National Park, forming flat-topped hills known locally as 'Jump-Ups'. Calcretes creat false positives with the commonly used biological soil crust indices from remote sensing data, so field spectra of calcretes were collected to characterise their spectral reflectance to assist with image processing. Dataset 2: Lake Constance Pan Mapping project Field Photographs, Reflectance Spectra and field notes, Lake Constance Clay Pan, Diamantina National Park. This dataset is a repeat survey undertaken in 2015, which revisited sample points first surveyed as part of the so-called 'MAM survey' in 2000. Dataset 3: Solar Radiation Photosynthesis experiment Field Photographs and Reflectance Spectra from three locations in Diamantina National Park, Lake Constance pan, a duneflank site on ‘Crusty Inlet dune’ (where no photosynthesis could be stimulated) and Homestead pan. The Homestead pan experiment was run twice (Winter 2015 and Summer 2016). Dataset 4: Shade netting experiment Spectral Reflectance measurements of a spectralon panel were taken under the shade netting to characterise the transmissivity of the netting at different solar elevation angles. Dataset 5: Photographic cards Spectral reflectance measurements of a set of photographic reference cards, which were included in the frame of all the surface photographs collected for this project. Dataset 6: Mobile Device experiment Field Photographs taken with a range of mobile device cameras (Moto G, Nexus 6 and Samsung Galaxy Note 10.1) and two cameras (Nikon Coolpix P610 and Nikon Coolpix 950 Full Spectrum), and associated reflectance spectra data, for 5 study sites Crusty Inlet Pan Surface, Crusty Inlet Dune North Flank, Lake Constance Pan and Homestead Dune. Dataset 7: Rainfall simulator Spectral reflectance data and associated field notes of sites used in a rainfall simulator/wind tunnel experiment, Lake Constance claypan (which formed part of the associated NERC project NE/K011464/1)
dataset
http://www.bgs.ac.uk/services/ngdc/accessions/index.html#item112249
function: download
http://data.bgs.ac.uk/id/dataHolding/13607362
eng
OGP
GEOG
geoscientificInformation
publication
2008-06-01
Bacteria
Terrain reflectance
Soil properties
revision
2011
NERC_DDC
140.7000
141.8000
-23.2500
-24.1500
creation
1979
QUEENSLAND [id=580000]
2015
2016
creation
2018
notApplicable
All field spectroscopy data were acquired with a Spectra Vista Hr1024i spectrometer, using a spectralon reference panel. All data were processed using SVC Hr1024i PC Data acquisition software (version 1.6.7 Beta) to remove areas of spectral overlap. All files are in ASCII format, and can be opened with any text reading or spreadsheet software. All locational (lat/long), date/time (UTC) of spectrum acquisition, foreoptics used and other instrument settings information is given in the first 25 lines of each file, all clearly labelled. Photographs taken using a range of mobile device cameras. All field photographs are in JPEG (jpg) format.
publication
2011
false
See the referenced specification
publication
2010-12-08
false
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
SIG files
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Department of Geography and Environmental Science
University of Reading
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Reading
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pointOfContact
Department of Geography and Environmental Science
University of Reading
Whiteknights, PO Box 227
Reading
RG6 6AB
principalInvestigator
British Geological Survey
Environmental Science Centre,Keyworth
NOTTINGHAM
NG12 5GG
United Kingdom
+44 115 936 3100
pointOfContact
2020-09-15