XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: DEVELOPMENTS IN MONITORING RANGELANDS USING REMOTELY-SENSED CROSS-FENCE COMPARISONS Adam D. Kilpatrick, Stephen C. Warren-Smith, John L. Read, Megan M. Lewis, Bertram Ostendorf

Document type:: Multivolume work

Structure type:: Chapter

nspectus of the ijing, pp. 8-12. Remote sensing Mountain, Acta ons in China: a 100, pp.34 -37. ed deforestation northeast China. and patterns of n the Changbai idscape Ecol.12 transitions and analysis of land J Remote Sens, ind Fundamental 26305), National Young Scholars editors for their DEVELOPMENTS IN MONITORING RANGELANDS USING REMOTELY-SENSED CROSS-FENCE COMPARISONS Adam D. Kilpatrick **, Stephen C. Warren-Smith ® John L. Read “, Megan M. Lewis ^, Bertram Ostendorf * * School of Earth and Environmental Sciences, The University of Adelaide, Adelaide, SA 5005, Australia - (adam.kilpatrick, megan.lewis, bertram.ostendorf, john.read)@adelaide.edu.au ® Institute of Photonics and Advanced Sensing, The University of Adelaide. Adelaide, SA 5005, Australia — stephen. warrensmith@adelaide.edu.au *Corresponding author Commission VIII, WG VIII/8 KEY WORDS: Agriculture; Environment; Land Use; GIS; Landsat; Land Cover; Monitoring ABSTRACT: This paper presents a new method for the use of earth-observation images to assess relative land condition over broad regions, using a cross-fence comparison methodology. It controls for natural spatial and temporal variables (e.g. rainfall, temperature soils, ecosystem) so that we can objectively monitor rangelands and other areas for the effects of management. The method has been tested with small and large scale theoretical models, as well as a case study in South Australian rangelands. This method can also be applied in other systems and experiments such as field trials of crop varieties as a robust spatial statistic. METHODS Cross-fence sample pairs are often used in field ecology to control spatio-temporal variation allowing a direct comparison of grazing pressures. In our method, we extract a very large number of cross-fence pairs of pixels from a vegetation index (or land cover) raster (figure 1). The average ratio of vegetation cover from this cross-fence pair is determined for each fenceline in a system, and this cross-fence ratio is used to generate an equation for the value of each paddock. The resulting series of homogenous linear equations is solved in order to rank each paddock objectively. Paddock —4——-—* Ec Sample pair pO à à Ceo] D-H0 zs : Fence——s| Figure 1. Cross-fence sampling layout RESULTS We have tested this methodology successfully using small and large model simulations, showing that it reproduces expected rankings in those scenarios, and that weighting factors have their desired influence if applied. Our theoretical models show that the expected land-cover rankings are accurately predicted for large systems of paddocks and that grazing gradients as a result of the piosphere effect have an influence on paddock rankings. We have applied this monitoring methodology to Landsat TM images 6 years apart in a region of pastoral and mining leases in arid South Australia: changes in land condition rank over time conform to those expected as a result of documented changes in management over the study period, as per expectations documented in various published ecological studies of the region. CONCLUSIONS This methodology is a significant breakthrough in the analysis of remotely sensed data in order to monitor fenced rangelands. It has the potential to be applied as the mainstay monitoring methodology to detect both good management and management leading to overgrazing in millions of square kilometres of rangelands in Australia and internationally. Its key attribute is its ability to rank paddocks against each other, allowing comparisons with paddocks of known management to inform decision making. Following on from this research, several new avenues are being explored, including spatial models of the effects of wind and distance to water on grazing distribution of animals in rangelands, methods of defining appropriate scales of experimental design in cross-fence studies, methods to automate the detection of fencelines and pseudo-fences from imagery and the potential to apply this type of analysis to other scenarios, such as in field trials of crops using field data.

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