Degree of site suitability measurement in a GIS: the effect of standardisation method
Paper
Paper/Presentation Title | Degree of site suitability measurement in a GIS: the effect of standardisation method |
---|---|
Presentation Type | Paper |
Authors | Basnet, B. B. (Author) and Apan, A. A. (Author) |
Editors | Oxley, Les and Kulasiri, Don |
Journal or Proceedings Title | Proceedings of the International Congress on Modelling and Simulation (MODSIM07) |
Number of Pages | 7 |
Year | 2007 |
Place of Publication | Australia |
ISBN | 9780975840047 |
Web Address (URL) of Paper | http://www.mssanz.org.au/MODSIM07/papers/2_s44/DegreeofSite_s44_Basenet_.pdf |
Conference/Event | International Congress on Modelling and Simulation (MODSIM07): Land, Water and Environmental Management: Integrated Systems for Sustainability |
Event Details | International Congress on Modelling and Simulation (MODSIM07): Land, Water and Environmental Management: Integrated Systems for Sustainability Parent International Congress on Modelling and Simulation Delivery In person Event Date 10 to end of 13 Dec 2007 Event Location Christchurch, New Zealand |
Abstract | Site suitability analysis is performed to identify suitable land units (i.e. grid cells) for a specific purpose so that management decisions can be made in a site-specific manner. However, these grid cells are rarely equally suitable in the real world. They may vary substantially in their degree (or level) of suitability. Yet, the discrimination between suitable cells is often beyond the scope of conventional site suitability analysis. Widening the scope of conventional site suitability analysis to include a degree of site suitability (DoSS) measurement is therefore crucial for managing sites in a truly site-specific manner. Conventionally, site suitability analysis involves weighted linear combination (WLC) of standardised input factors (e.g. land use, slope, distance from stream, etc.) within a Geographic Information Systems (GIS) framework. In a conventional site suitability analysis, factor attributes are standardised using discrete classification method. Yet, the effect of this standardisation method on the DoSS measurement is unknown. Therefore, the objective of this study was to quantify the effect of the discrete classification methods of input factor attribute standardisation on the DoSS measurement. In this study, seven input factors affecting the suitability of an agricultural land for site-specific application of animal waste as fertiliser were selected, pre-processed and standardised. Discrete classification method of standardisation, which replaced continuous or discrete factor attributes with a fixed number of differentially weighted classes, was employed. Three different classification and weighting schemes were adopted. Firstly, the attributes of each input factor were classified in up to five equal-sized classes to examine the effect of class number on the DoSS measurement. These classes were weighted with equally incremented weights that added up to 100. Secondly, they were classified into three sets of three classes each using equal area, equal interval and defined interval methods of classification to examine the effect of the class size on the DoSS measurement. These classes were also weighted with equally incremented weights that added up to 100. Thirdly, the attributes of each input factor were classified into two sets of three classes each, using equal area method of classification to examine the effect of differential weighting on the DoSS measurement. These sets were respectively weighted with equally and unequally incremented weights that added up to 100. Finally, the standardised input factors were correspondingly combined within GIS framework to produce 10 different composite maps (i.e. five for varying class number, three for varying class size and two for varying class weight). The DoSS measurements of each of the composite maps was quantified using the descriptive statistical parameters such as weighted average (WA), coefficient of variation (CV), value range (VR), and coefficient of skewness (CS) to make them comparable. The comparisons of results from these tests have highlighted the inconsistencies in the DoSS measurement when using various discrete classification methods of input factor attribute standardisation. It was found that the variations in terms of the class number, the class size, and the weight distribution between classes were the major contributing elements towards measurement inconsistencies. Therefore, it was concluded that the usefulness of this method of standardisation is limited for obtaining a comparable and repeatable DoSS measurement unless a more robust technique could be developed through further research. |
Keywords | GIS; degree of site suitability; classification; standardization; weighted linear combination |
ANZSRC Field of Research 2020 | 401199. Environmental engineering not elsewhere classified |
400599. Civil engineering not elsewhere classified | |
460911. Inter-organisational, extra-organisational and global information systems | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Australian Centre for Sustainable Catchments |
https://research.usq.edu.au/item/9y917/degree-of-site-suitability-measurement-in-a-gis-the-effect-of-standardisation-method
Download files
Published Version
Basnet_Apan_2007_MODSIM07_PV.pdf | ||
File access level: Anyone |
Other Documentation
Binder1.pdf | ||
File access level: Anyone |
2886
total views392
total downloads0
views this month1
downloads this month
Export as
Related outputs
Modelling future spatial distribution of peanut crops in Australia under climate change scenarios
Haerani, Haerani, Apan, Armando, Nguyen-Huy, Thong and Basnet, Badri. 2023. "Modelling future spatial distribution of peanut crops in Australia under climate change scenarios." Geo-spatial Information Science. https://doi.org/10.1080/10095020.2022.2155255Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
Apan, Armando, Andrew, Ogbaje, Paudyal, Dev Raj and Perera, Kithsiri. 2023. "Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data." ISPRS International Journal of Geo-Information. 12 (194), pp. 1-26. https://doi.org/https://doi.org/10.3390/ijgi12050194A call for ‘management authorship’ in community forestry
Aryal, Kishor, Maraseni, Tek and Apan, Armando. 2023. "A call for ‘management authorship’ in community forestry." Environmental Science and Policy. 139, pp. 204-208. https://doi.org/10.1016/j.envsci.2022.10.023Transforming agroforestry in contested landscapes: A win-win solution to trade-offs in ecosystem services in Nepal
Aryal, Kishor, Maraseni, Tek and Apan, Armando. 2023. "Transforming agroforestry in contested landscapes: A win-win solution to trade-offs in ecosystem services in Nepal." Science of the Total Environment. 857 (Part 1). https://doi.org/10.1016/j.scitotenv.2022.159301Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Apan, Armando, Altarez, Richard Dein D. and Maraseni, Tek. 2023. "Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation." Remote Sensing Applications: Society and Environment. 29. https://doi.org/10.1016/j.rsase.2022.100887Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning
Muhury, Newton, Apan, Armando A., Maraseni, Tek N. and Ayele, Gebiaw T.. 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning." Land. 11 (12), pp. 1-23. https://doi.org/10.3390/land11122154Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models
Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322Assay of renewable energy transition: A systematic literature review
Bhattarai, Utsav, Maraseni, Tek and Apan, Armando. 2022. "Assay of renewable energy transition: A systematic literature review." Science of the Total Environment. 833, pp. 1-18. https://doi.org/10.1016/j.scitotenv.2022.155159Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia
Murray, Xavier, Apan, Armando, Deo, Ravinesh and Maraseni, Tek. 2022. "Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia." Geocarto International. 37 (26), pp. 11223-11252. https://doi.org/10.1080/10106049.2022.2048902Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends
Altarez, Richard Dein D., Apan, Armando and Maraseni, Tek. 2022. "Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends." Geocarto International. 37 (26), pp. 11900-11928. https://doi.org/10.1080/10106049.2022.2060330Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters
Choudhury, Malini Roy, Christopher, Jack, Das, Sumanta, Apan, Armando, Menzies, Neal W., Chapman, Scott, Mellor, Vincent and Dang, Yash P.. 2022. "Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters." Environmental Technology and Innovation. 27, pp. 1-14. https://doi.org/10.1016/j.eti.2022.102469How much do we know about trade-offs in ecosystem services? A systematic review of empirical research observations
Aryal, Kishor, Maraseni, Tek N. and Apan, Armando. 2022. "How much do we know about trade-offs in ecosystem services? A systematic review of empirical research observations." Science of the Total Environment. 806, pp. 1-13. https://doi.org/10.1016/j.scitotenv.2021.151229Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners
Panuju, Dyah R., Haerani, H., Apan, Armando, Griffin, Amy L., Paull, David J. and Trisasongko, Bambang Hendro. 2022. "Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners." Kumar, Arvind, Kumar, Pavan, Singh, S. S., Trisasongko, Bambang Hendro and Rani, Meenu (ed.) Agriculture, Livestock Production and Aquaculture: Advances for Smallholder Farming Systems. Cham, Switzerland. Springer. pp. 131-146Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques
Das, Sumanta, Christopher, Jack, Choudhury, Malini Roy, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2022. "Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques." Biosystems Engineering. 217, pp. 68-82. https://doi.org/10.1016/j.biosystemseng.2022.03.004Identifying and prioritising climate change adaptation actions for greater one-horned rhinoceros (Rhinoceros unicornis) conservation in Nepal
Pant, Ganesh, Maraseni, Tek, Apan, Armando and Allen, Benjamin L.. 2022. "Identifying and prioritising climate change adaptation actions for greater one-horned rhinoceros (Rhinoceros unicornis) conservation in Nepal." PEERJ. 10, pp. 1-23. https://doi.org/10.7717/peerj.12795Predicted declines in suitable habitat for greater one-horned rhinoceros (Rhinoceros unicornis) under future climate and land use change scenarios
Pant, Ganesh, Maraseni, Tek, Apan, Armando and Allen, Benjamin L.. 2021. "Predicted declines in suitable habitat for greater one-horned rhinoceros (Rhinoceros unicornis) under future climate and land use change scenarios." Ecology and Evolution. 11 (24), pp. 18288-18304. https://doi.org/10.1002/ece3.8421Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques
Choudhury, Malini Roy, Das, Sumanta, Christopher, Jack, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques." Remote Sensing. 13 (17), pp. 1-27. https://doi.org/10.3390/rs13173482UAV-thermal imaging: A technological breakthrough for monitoring and quantifying crop abiotic stress to help sustain productivity on sodic soils – A case review on wheat
Das, Sumanta, Chapman, Scott, Christopher, Jack, Choudhury, Malini Roy, Menzies, Neal W., Apan, Armando and Dang, Yash P.. 2021. "UAV-thermal imaging: A technological breakthrough for monitoring and quantifying crop abiotic stress to help sustain productivity on sodic soils – A case review on wheat." Remote Sensing Applications: Society and Environment. 23, pp. 1-13. https://doi.org/10.1016/j.rsase.2021.100583Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics
Choudhury, Malini Roy, Mellor, Vincent, Das, Sumanta, Christopher, Jack, Apan, Armando, Menzies, Neal W., Chapman, Scott and Dang, Yash P.. 2021. "Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics." Agricultural Water Management. 255. https://doi.org/10.1016/j.agwat.2021.107007Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Das, Sumanta, Christopher, Jack, Apan, Armando, Choudhury, Malini Roy, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning." Agricultural and Forest Meteorology. 307. https://doi.org/10.1016/j.agrformet.2021.108477UAV-thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
Das, Sumanta, Christopher, Jack, Apan, Armando, Choudhury, Malini Roy, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2021. "UAV-thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil." ISPRS Journal of Photogrammetry and Remote Sensing. 173, pp. 221-237. https://doi.org/10.1016/j.isprsjprs.2021.01.014Characterizing net primary productivity of forests and non-forest areas in the Philippines using satellite imagery
Apan, Armando and Maraseni, Tek. 2012. "Characterizing net primary productivity of forests and non-forest areas in the Philippines using satellite imagery." 1st National Symposium and Workshop on Environmental Science (IESM 2012): Environmental Science in a Changing Environment. Manila, Philippines 07 - 08 May 2012 Manila, Philippines.Climate change vulnerability of Asia’s most iconic megaherbivore: greater one-horned rhinoceros (Rhinoceros unicornis)
Pant, Ganesh, Maraseni, Tek, Apan, Armando and Allen, Benjamin L.. 2020. "Climate change vulnerability of Asia’s most iconic megaherbivore: greater one-horned rhinoceros (Rhinoceros unicornis)." Global Ecology and Conservation. 23, pp. 1-14. https://doi.org/10.1016/j.gecco.2020.e01180The climate-induced alteration of future geographic distribution of aflatoxin in peanut crops and its adaptation options
Haerani, Haerani, Apan, Armando and Basnet, Badri. 2020. "The climate-induced alteration of future geographic distribution of aflatoxin in peanut crops and its adaptation options." Mitigation and Adaptation Strategies for Global Change. 25 (6), pp. 1149-1175. https://doi.org/10.1007/s11027-020-09927-0Using a Mixed Method Research to Develop Spatial Information Sharing Strategies Across Natural Resource Management Communities
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2019. "Using a Mixed Method Research to Develop Spatial Information Sharing Strategies Across Natural Resource Management Communities." Inaugural Australasia & Pacific Regional Mixed Methods International Research Association Conference 2019: Expanding Conceptual and Methodological Boundaries (MMIRA 2019). Wellington, New Zealand 04 - 06 Dec 2019 Indianapolis, United States.Intelligent data analytics for time series, trend analysis and drought indices comparison
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2021. "Intelligent data analytics for time series, trend analysis and drought indices comparison." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 151-169Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data
Phung, Hoang-Phi, Lam-Dao, Nguyen, Nguyen-Huy, Thong, Le-Toan, Thuy and Apan, Armando A.. 2020. "Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data." Journal of Applied Remote Sensing. 14 (1), pp. 014518-1-014518-23. https://doi.org/10.1117/1.JRS.14.014518Trends and current state of research on greater one-horned rhinoceros (Rhinoceros unicornis): a systematic review of the literature over a period of 33 years (1985–2018)
Pant, Ganesh, Maraseni, Tek, Apan, Armando and Allen, Benjamin L.. 2020. "Trends and current state of research on greater one-horned rhinoceros (Rhinoceros unicornis): a systematic review of the literature over a period of 33 years (1985–2018)." Science of the Total Environment. 710, pp. 1-14. https://doi.org/10.1016/j.scitotenv.2019.136349An assessment of governance quality for community-based forest management systems in Asia: Prioritisation of governance indicators at various scales
Maraseni, Tek Narayan, Bhattarai, Nabin, Karky, Bhaskar Singh, Cadman, Timothy, Timalsina, Niroj, Bhandari, Trishna Singh, Apan, Armando, Ma, Hwan Ok, Rawat, R. S., Verma, Nemit, San, Su Mon, Oo, Thaung Naing, Dorji, Kinley, Dhungana, Sindhu and Poudel, Mohan. 2019. "An assessment of governance quality for community-based forest management systems in Asia: Prioritisation of governance indicators at various scales." Land Use Policy: the international journal covering all aspects of land use. 81, pp. 750-671. https://doi.org/10.1016/j.landusepol.2018.11.044Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2020. "Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 141-178Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall
Kath, Jarrod, Le Brocque, Andrew, Reardon-Smith, Kathryn and Apan, Armando. 2019. "Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall." Agricultural and Forest Meteorology. 268, pp. 11-22. https://doi.org/10.1016/j.agrformet.2019.01.007Tree biomass quantity, carbon stock and canopy correlates in mangrove forest and land uses that replaced mangroves in Honda Bay, Philippines
Castillo, Jose Alan A., Apan, Armando A., Maraseni, Tek Narayan and Salmo, Severino G., III. 2018. "Tree biomass quantity, carbon stock and canopy correlates in mangrove forest and land uses that replaced mangroves in Honda Bay, Philippines." Regional Studies in Marine Science. 24, pp. 174-183. https://doi.org/10.1016/j.rsma.2018.08.006Mapping of peanut crops in Queensland, Australia using time-series PROBA-V 100-m normalized difference vegetation index imagery
Haerani, Haerani, Apan, Armando and Basnet, Badri. 2018. "Mapping of peanut crops in Queensland, Australia using time-series PROBA-V 100-m normalized difference vegetation index imagery." Journal of Applied Remote Sensing. 12 (3), pp. 1-22. https://doi.org/10.1117/1.JRS.12.036005Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198Drivers of grassland resistance and recovery to long term drought
Le Brocque, Andrew F, Kath, Jarrod, Reardon-Smith, Kate and Apan, Armando. 2017. "Drivers of grassland resistance and recovery to long term drought." 6th Joint Conference of the Ecological Society of Australia and the New Zealand Ecological Society (EcoTAS 2017). Pokolbin, Australia 26 Nov - 01 Dec 2017Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland." Journal of Hydrologic Engineering. 23 (1), p. 05017029. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001593Soil C quantities of mangrove forests, their competing land uses, and their spatial distribution in the coast of Honda Bay, Philippines
Castillo, Jose Alan A., Apan, Armando A., Maraseni, Tek Narayan and Salmo, Severino G., III. 2017. "Soil C quantities of mangrove forests, their competing land uses, and their spatial distribution in the coast of Honda Bay, Philippines." Geoderma. 293, pp. 82-90. https://doi.org/10.1016/j.geoderma.2017.01.025The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the Philippines
Apan, Armando, Suarez, Luz Angelica, Maraseni, Tek and Castillo, Jose Alan. 2017. "The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the Philippines." Applied Geography. 81, pp. 32-42. https://doi.org/10.1016/j.apgeog.2017.02.007Savanna burning methodology for fire management and emissions reduction: a critical review of influencing factors
Maraseni, Tek Narayan, Reardon‑Smith, Kathryn, Griffiths, Greg and Apan, Armando. 2016. "Savanna burning methodology for fire management and emissions reduction: a critical review of influencing factors." Carbon Balance and Management. 11, pp. 1-11. https://doi.org/10.1186/s13021-016-0067-4Soil greenhouse gas fluxes in tropical mangrove forests and in land uses on deforested mangrove lands
Castillo, Jose Alan A., Apan, Armando A., Maraseni, Tek N. and Salmo, Severino G., III. 2017. "Soil greenhouse gas fluxes in tropical mangrove forests and in land uses on deforested mangrove lands." Catena. 159, pp. 60-69. https://doi.org/10.1016/j.catena.2017.08.005Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
Castillo, Jose Alan A., Apan, Armando A., Maraseni, Tek N. and Salmo, Severino G., III. 2017. "Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery." ISPRS Journal of Photogrammetry and Remote Sensing. 134, pp. 70-85. https://doi.org/10.1016/j.isprsjprs.2017.10.016Hyperspectral sensing to detect the impact of herbicide drift on cotton growth and yield
Suarez, L. A., Apan, Armando and Werth, Jeff. 2016. "Hyperspectral sensing to detect the impact of herbicide drift on cotton growth and yield." ISPRS Journal of Photogrammetry and Remote Sensing. 120, pp. 65-76. https://doi.org/10.1016/j.isprsjprs.2016.08.004Groundwater decline and climatic variability: Implications for groundwater linked agro-ecosystems
Le Brocque, Andrew F., Kath, Jarrod, Reardon-Smith, Kate and Apan, Armando. 2016. "Groundwater decline and climatic variability: Implications for groundwater linked agro-ecosystems." 2016 Ecological Society of Australia Annual Conference: Diversity: Pattern, Process and Prospects (ESA 2016). Fremantle, Australia 29 Nov - 02 Dec 2016 Australia.Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies
Espada, Rudolf, Apan, Armando and McDougall, Kevin. 2017. "Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies." International Journal of Disaster Resilience in the Built Environment. 8 (4), pp. 375-411. https://doi.org/10.1108/IJDRBE-03-2015-0010Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588
Application of Modis data to assess the latest forest cover changes of Sri Lanka
Perera, Kithsiri, Herath, Srikantha, Apan, Armando and Tateishi, Ryutaro. 2013. "Application of Modis data to assess the latest forest cover changes of Sri Lanka." Ogleby, Cliff (ed.) 22nd Annual Photogrammetry, Remote Sensing and Spatial Information Science Congress (ISPRS 2012): Imaging a Sustainable Future. Melbourne, Australia 25 Aug - 01 Sep 2012 Australia. Copernicus GmbH. https://doi.org/10.5194/isprsannals-I-7-165-2012Detection of phenoxy herbicide dosage in cotton crops through the analysis of hyperspectral data
Suarez, L. A., Apan, Armando and Werth, J.. 2017. "Detection of phenoxy herbicide dosage in cotton crops through the analysis of hyperspectral data." International Journal of Remote Sensing. 38 (23), pp. 6528-6553. https://doi.org/10.1080/01431161.2017.1362128Delineation of management zones using multiple crop yield data
Basnet, Badri, Kelly, Rob, Jensen, Troy, Strong, Wayne, Apan, Armando and Butler, David. 2003. "Delineation of management zones using multiple crop yield data." 16th Triennial Congress of the International Soil Tillage Research Organisation (ISTRO 2003). Brisbane, Australia 13 - 18 Jul 2003 Brisbane, Australia.Correlating high resolution aerial imagery with wheat yield and protein content
Apan, A., Kelly, R., Jensen, T., Strong, W. and Butler, D.. 2004. "Correlating high resolution aerial imagery with wheat yield and protein content." Smith, Richard and Dawbin, Ken (ed.) 12th Australasian Remote Sensing and Photogrammetry Conference (ARSPC 2004): To Measure is to Manage. Fremantle, Australia 18 - 22 Oct 2004 Adelaide, Australia.Spectral discrimination and classification of sugarcane varieties using EO-1 hyperion hyperspectral imagery
Apan, Armando, Held, Alex, Phinn, Stuart and Markley, John. 2004. "Spectral discrimination and classification of sugarcane varieties using EO-1 hyperion hyperspectral imagery." 25th Asian Conference on Remote Sensing (ACRS 2004). Chiang Mai, Thailand 22 - 26 Nov 2004 China.Application of aerial imagery to analyse on-farm trials
Basnet, B., Kelly, R., Jensen, T., Kane, T., Apan, A. and Butler, D.. 2002. "Application of aerial imagery to analyse on-farm trials." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Australia.Capturing of remotely sensed images to advance the use of yield maps and other spatial information to improve crop management and forecasting
Jensen, T., Apan, A., Young, F. and Zeller, L.. 2002. "Capturing of remotely sensed images to advance the use of yield maps and other spatial information to improve crop management and forecasting." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Adelaide, Australia.Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery
Apan, Armando, Kelly, Rob, Jensen, Troy, Butler, David, Strong, Wayne and Basnet, Badri. 2002. "Spectral discrimination and separability analysis of agricultural crops and soil attributes using ASTER imagery." 11th Australasian Remote Sensing and Photogrammetry Conference (ARSPC2002): Images to Information. Brisbane, Australia 02 - 06 Sep 2002 Adelaide, Australia.Quantifying landscape fragmentation in the Lockyer Valley Catchment, Queensland: 1973 – 1997
Apan, Armando A., Raine, Steven R. and Paterson, Mark S.. 2000. "Quantifying landscape fragmentation in the Lockyer Valley Catchment, Queensland: 1973 – 1997." AURISA 2000 Conference (AURISA 2000). Coolum, Australia 20 - 24 Nov 2000Image analysis techniques for assessing landscape structural change: a case study of the Lockyer Valley Catchment, Queensland
Apan, Armando A., Raine, Steven R. and Paterson, Mark S.. 2000. "Image analysis techniques for assessing landscape structural change: a case study of the Lockyer Valley Catchment, Queensland." 10th Australasian Remote Sensing and Photogrammetry Conference (ARSPC 2000). Adelaide, Australia 21 - 25 Aug 2000Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2015. "Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation." International Journal of Disaster Resilience in the Built Environment. 6 (3), pp. 313-346. https://doi.org/10.1108/IJDRBE-02-2014-0019Prioritising carbon sequestration areas in southern Queensland using time series MODIS net primary productivity (NPP) imagery
Apan, A., Suarez Cadavid, L. A., Richardson, L. and Maraseni, T.. 2014. "Prioritising carbon sequestration areas in southern Queensland using time series MODIS net primary productivity (NPP) imagery." Dadhwal, V. K., Seshasai, M. V. R., Hakeem, A., Diwakar, P. G. and Raju, P. L. N. (ed.) Technical Commission 8th Mid-Term Symposium (ISPRS 2014). Hyderabad, India 09 - 12 Dec 2014 Goettingen, Germany. https://doi.org/10.5194/isprsarchives-XL-8-549-2014Spectral discrimination of bulloak (Allocasuarina luehmannii) and associated woodland for habitat mapping of the endangered bulloak jewel butterfly (Hypochrysops piceata) in southern Queensland
Zainol Abdullah, Wan Nor Zanariah, Apan, Armando A., Maraseni, Tek N. and Le Brocque, Andrew F.. 2014. "Spectral discrimination of bulloak (Allocasuarina luehmannii) and associated woodland for habitat mapping of the endangered bulloak jewel butterfly (Hypochrysops piceata) in southern Queensland." Journal of Applied Remote Sensing. 8 (1), pp. 083561-1. https://doi.org/10.1117/1.JRS.8.083561Spatial modelling of natural disaster risk reduction policies with Markov decision processes
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2014. "Spatial modelling of natural disaster risk reduction policies with Markov decision processes." Applied Geography. 53, pp. 284-298. https://doi.org/10.1016/j.apgeog.2014.06.021The impact of varying statutory arrangements on spatial data sharing and access in regional NRM bodies
Paudyal, D. R., McDougall, K. and Apan, A.. 2014. "The impact of varying statutory arrangements on spatial data sharing and access in regional NRM bodies." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. II (8), pp. 193-197. https://doi.org/10.5194/isprsannals-II-8-193-2014Effects of spatial resolution on measurement of landscape function using the landscape leakiness calculator
Dunwoody, Ernest, Apan, Armando and Liu, Xiaoye. 2013. "Effects of spatial resolution on measurement of landscape function using the landscape leakiness calculator." Surveying and Spatial Sciences Conference (SSSC 2013): Collect, Connect, Capitalise. Canberra, Australia 17 - 19 Apr 2013 Canberra, Australia.Developing spatial information sharing strategies across natural resource management communities
Paudyal, Dev Raj, McDougall, Kevin and Apan, Armando. 2013. "Developing spatial information sharing strategies across natural resource management communities." Onsrud, Harlan and Rajabifard, Abbas (ed.) Spatial Enablement in Support of Economic Development and Poverty Reduction: Research, Development and Education Perspectives. Needham, MA, USA. GSDI Association Press. pp. 141-168Using spatial modelling to develop flood risk and climate adaptation capacity metrics for vulnerability assessments of urban community and critical water supply infrastructure
Espada Jr., Rodolfo, Apan, Armando and McDougall, Kevin. 2013. "Using spatial modelling to develop flood risk and climate adaptation capacity metrics for vulnerability assessments of urban community and critical water supply infrastructure." Featherstone, Jeffrey (ed.) 49th World Congress of the International Society of City and Regional Planners (ISOCARP 2013): Frontiers of Planning: Evolving and Declining Models of City Planning Practice. Brisbane, Australia 01 - 04 Oct 2013 Netherlands.Cognitive dissonance in student self-assessment
Basnet, Badri. 2013. "Cognitive dissonance in student self-assessment." Lemckert, Charles, Jenkins, Graham and Lang-Lemckert, Susan (ed.) 24th Annual Conference of the Australasian Association for Engineering Education (AaeE 2013): Work Integrated Learning- Applying Theory to Practice in Engineering Education. Gold Coast, Australia 08 - 11 Dec 2013 Gold Coast, Australia.Adaptation and resilience in two flood-prone Queensland communities
King, David, Apan, Armando, Keogh, Diane and Thomas, Melanie. 2013. "Adaptation and resilience in two flood-prone Queensland communities." Boulter, Sarah, Palutikof, Jean, Karoly, David John and Guitart, Daniella (ed.) Natural disasters and adaptation to climate change. New York, NY. United States. Cambridge University Press. pp. 95-106Enriching career experience of international academics through language training and practicing programs
Zhou, Hong, Basnet, Badri and Pigozzo, Robyn. 2013. "Enriching career experience of international academics through language training and practicing programs." Lemckert, Charles, Jenkins, Graham and Lang-Lemckert, Susan (ed.) 24th Annual Conference of the Australasian Association for Engineering Education (AaeE 2013): Work Integrated Learning- Applying Theory to Practice in Engineering Education. Gold Coast, Australia 08 - 11 Dec 2013 Gold Coast, Australia.Enabling effective and inclusive learning opportunities with software-based remote access laboratories
Kist, Alexander A. and Basnet, Badri. 2013. "Enabling effective and inclusive learning opportunities with software-based remote access laboratories." 10th International Conference on Remote Engineering and Virtual Instrumentation (REV 2013): Moving from Design to Innovation and Impact. Sydney, Australia 06 - 08 Feb 2013 United States. https://doi.org/10.1109/REV.2013.6502897Using spatial modelling to develop flood risk and climate adaptation capacity metrics for assessing urban community and critical electricity infrastructure vulnerability
Espada Jr., R., Apan, A. and McDougall, K.. 2013. "Using spatial modelling to develop flood risk and climate adaptation capacity metrics for assessing urban community and critical electricity infrastructure vulnerability." Piantadosi, J., Anderssen, R. S. and Boland, J. (ed.) 20th International Congress on Modelling and Simulation (MODSIM 2013): Adapting to Change: The Multiple Roles of Modelling. Adelaide, Australia 01 - 06 Dec 2013 Canberra, Australia.