Effects of spatial resolution on measurement of landscape function using the landscape leakiness calculator

Dunwoody, Ernest and Apan, Armando ORCID: https://orcid.org/0000-0002-5412-8881 and Liu, Xiaoye (2013) Effects of spatial resolution on measurement of landscape function using the landscape leakiness calculator. In: Surveying and Spatial Sciences Conference (SSSC 2013): Collect, Connect, Capitalise, 17-19 Apr 2013, Canberra, Australia.

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Abstract

This study investigated the effect of changes in the scale of imagery on landscape elements and in turn on calculating the loss of resources in a rangeland catchment. The CSIRO Leakiness Calculator was used as the analytic tool to measure the leakiness of the experimental catchment under a variety of scenarios.
The approach was to use concurrent images of the same catchment area captured at different native resolutions and to upscale the high resolution image to match the lower resolution images to see the effect on calculated catchment leakiness. Two indices, the Stress-related Vegetation Index (STVI) and the Redness Index (RI) were used to measure land cover. The experimental catchment covered about 6,000 ha south-west of Charters Towers in North Queensland.
The two cover indices produced markedly different cover and leakiness results and these results varied with native image scale. The upscaled images also yielded different cover and leakiness results which did not coincide with comparable native scale image analyses.
The causes of the lack of agreement between the results were investigated using semivariance analysis techniques. The calculated leakiness of the native scale images showed no clearly defined relationship with the resolution-dependent amount of cover or the sill semivariance but it was strongly correlated with the negative power of the image resolution. The calculated leakiness of the upscaled image had a strong negative power correlation with the resolution-dependent amount of cover, image resolution and sill semivariance.
The findings highlight the importance of carefully considering all input variables including image preprocessing, type of cover index and resolution of the image when comparing the leakiness of different catchments using the Leakiness Calculator. These results indicate that it may be not possible to make meaningful comparisons of landscape leakiness of the same area between images of different scales or from different sensors.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Copyright 2013, Surveying & Spatial Science Institute. Applied use of the CSIRO Leakiness Index calculator. This work is licensed under a Creative Commons Attribution 3.0 License.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited:	13 May 2013 07:07
Last Modified:	11 Jan 2017 01:57
Uncontrolled Keywords:	catchment monitoring; landscape condition; resource loss; leakiness; scaling
Fields of Research (2008):	07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling 05 Environmental Sciences > 0501 Ecological Applications > 050102 Ecosystem Function 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objectives (2008):	D Environment > 96 Environment > 9605 Ecosystem Assessment and Management > 960510 Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments
URI:	http://eprints.usq.edu.au/id/eprint/23471

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