Pastoral Lease Assessment Using Geospatial Analysis

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Pastoral Lease Assessment Using Geospatial Analysis Research Library Resource management technical reports Natural resources research 8-2012 Pastoral lease assessment using geospatial analysis T P. Robinson P E. Novelly R Corner Philip Thomas A Russell-Browm Follow this and additional works at: https://researchlibrary.agric.wa.gov.au/rmtr Part of the Agriculture Commons, Environmental Monitoring Commons, Fresh Water Studies Commons, Hydrology Commons, Natural Resources Management and Policy Commons, Soil Science Commons, and the Statistics and Probability Commons Recommended Citation Robinson, T P, Novelly, P E, Corner, R, Thomas, P, and Russell-Browm, A. (2012), Pastoral lease assessment using geospatial analysis. Department of Primary Industries and Regional Development, Western Australia, Perth. Report 385. This report is brought to you for free and open access by the Natural resources research at Research Library. It has been accepted for inclusion in Resource management technical reports by an authorized administrator of Research Library. For more information, please contact [email protected]. Pastoral Lease Assessment using Geospatial Analysis RESOURCE MANAGEMENT TECHNICAL REPORT 385 RESOURCE MANAGEMENT TECHNICAL REPORT 385 ISSN 1039–7205 Resource Management Technical Report 385 Pastoral Lease Assessment using Geospatial Analysis TP Robinson, PE Novelly, R Corner, P Thomas, A Russell-Brown August 2012 Cover picture: RGB colour composite of cover trend (red = loss, green = recent gains, blue = gains) (Source: TP Robinson). Disclaimer While all reasonable care has been taken in the preparation of the information in this document, the Chief Executive Officer of the Department of Agriculture and Food and its officers and the State of Western Australia accept no responsibility for any errors or omissions it may contain, whether caused by negligence or otherwise, or for any loss, however caused, arising from reliance on, or the use or release of, this information or any part of it. Copyright © Western Australian Agriculture Authority, 2012 Copies of this document are available in alternative formats upon request. 3 Baron-Hay Court, South Perth WA 6151 Tel: (08) 9368 3333 Email: [email protected] www.agric.wa.gov.au Pastoral Lease Assessment using Geospatial Analysis Contents 1 Introduction ..................................................................................................................... 1 1.1 Objectives ................................................................................................................ 2 2 Vegetation Indices .......................................................................................................... 3 3 Datasets ......................................................................................................................... 5 3.1 Traverse Data and Condition Classes...................................................................... 5 3.2 Landsat Archive ....................................................................................................... 5 4 Methods .......................................................................................................................... 7 4.1 Stratification ............................................................................................................. 7 4.1.1 Station Level ..................................................................................................... 7 4.1.2 Functional Groups ............................................................................................ 7 4.1.3 Nested Stratification for Benchmark Derivation ................................................. 8 4.2 Where Can Remote Sensing Be Used? ................................................................... 9 4.2.1 Vegetation Indices Tested ................................................................................ 9 4.2.2 Discriminating Condition Ratings ...................................................................... 9 4.3 Which Vegetation Index? ....................................................................................... 10 4.3.1 Overall Discrimination Performance ................................................................ 10 4.3.2 Reliability of Discrimination ............................................................................. 10 4.3.3 Most Accurate VI(s) within each Stratum ........................................................ 11 4.4 Visualising Condition Change ................................................................................ 11 4.4.1 Spatio-Temporal Permutation Modelling ......................................................... 11 4.4.2 Trend Composites .......................................................................................... 13 5 Results ......................................................................................................................... 15 5.1 Where Can Remote Sensing Be Used? ................................................................. 15 5.2 Which Vegetation Index? ....................................................................................... 15 5.2.1 Overall Discrimination Performance ................................................................ 15 5.2.2 Most Accurate VI(s) within each Stratum ........................................................ 15 6 Discussion and Recommendations ............................................................................... 21 i Pastoral Lease Assessment using Geospatial Analysis 6.1 The Discrimination Potential and Reliability of the VIs ............................................ 21 6.1.1 Overall ............................................................................................................ 21 6.1.2 The Nullarbor Plain ......................................................................................... 22 6.1.3 Other Regions ................................................................................................ 22 6.2 Stratification and the Modifiable Areal Unit Problem .............................................. 22 6.3 Poor Discrimination and Spatial Resolution Issues ................................................ 23 7 Conclusions .................................................................................................................. 25 8 References ................................................................................................................... 26 Appendix A: Land systems within functional groups ............................................................. 29 Appendix B: Orthogonal Polynomial Coefficients ................................................................. 35 Appendix C: Maps showing the locations of where remote sensing can be used ................. 37 Appendix D: AUC values of Vegetation Indices for each Functional Group .......................... 45 Appendix E: AUC values of Vegetation Indices at the Station Level ..................................... 47 Appendix F: Technical Guide ............................................................................................... 61 i. Introduction ............................................................................................................... 61 ii. Getting Started .......................................................................................................... 63 iii. Exercise 1: Stratification ............................................................................................ 63 iv. Exercise 2: Computing Vegetation Indices ................................................................ 66 v. Exercise 3: Computing State and Transition .............................................................. 68 vi. Exercise 4: Computing Trends: Slope and Curvature ................................................ 70 ii Pastoral Lease Assessment using Geospatial Analysis Acknowledgments This research was funded by ARC-Linkage Project LP0882680 – Pastoral Lease Assessment using Geospatial Analysis (PLAGA). The views expressed in this report are those of the authors and not necessarily those of the Australian Research Council. We are most grateful to the many pastoral lease inspectors who have evaluated our methods in the field, supplied data and gave extensive and useful feedback, with particular thanks to David Warburton, John Stretch, Bob McCartney, Andrew Craig, Matt Fletcher and Jim Addison. We would also like to acknowledge those who have been involved in the project at various times, including Dr Graciela Metternicht, Dr Ian Watson, Dr Tom Schut, Damian Shepherd and Sonya Jansen and again Dr Tom Schut for his technical review of this document. iii Pastoral Lease Assessment using Geospatial Analysis iv Pastoral Lease Assessment using Geospatial Analysis Summary 1. Seven remote sensing based Vegetation Indices (NDSVI, STVI-3, NDVI, Green + Red, Red, Land Monitor and STVI-1) were tested for their potential to discriminate between “poor” and “good” range condition assessments in Western Australia’s pastoral rangelands. Indices were computed using the Australian Greenhouse Office National Carbon Accounting System (AGO NCAS) repository of calibrated Landsat TM/ETM+ mosaics. Discrimination potential was assessed at two levels of stratification – station level (identical to the stratification used to collect the traverse data), and functional group level (an aggregation of similar land systems); 2. The Land Monitor and STVI-1 indices had the highest level of discrimination summarised over the entire pastoral rangelands. Average
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