Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners
Edited book (chapter)
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. 131-146
| Chapter Title | Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners |
|---|---|
| Book Chapter Category | Edited book (chapter) |
| ERA Publisher ID | 3337 |
| Book Title | Agriculture, Livestock Production and Aquaculture: Advances for Smallholder Farming Systems |
| Authors | Panuju, Dyah R. (Author), Haerani, H. (Author), Apan, Armando (Author), Griffin, Amy L. (Author), Paull, David J. (Author) and Trisasongko, Bambang Hendro (Author) |
| Editors | Kumar, Arvind, Kumar, Pavan, Singh, S. S., Trisasongko, Bambang Hendro and Rani, Meenu |
| Volume | 2 |
| Page Range | 131-146 |
| Chapter Number | 9 |
| Number of Pages | 16 |
| Year | 2022 |
| Publisher | Springer |
| Place of Publication | Cham, Switzerland |
| ISBN | 9783030932619 |
| 9783030932626 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-93262-6_9 |
| Web Address (URL) | https://link.springer.com/chapter/10.1007/978-3-030-93262-6_9 |
| Abstract | Monitoring crops area is essential in achieving food security. The production coverage, crop types, and their growth phases are the key for monitoring food supply. Remote sensing plays a critical role to provide reliable data on regional basis supporting food production monitoring. In this research, we evaluated the use of Phased Array-type L-band Synthetic Aperture Radar (PALSAR-2), coupling with selected machine learners to map crop areas in the South Burnett, Queensland, Australia. Feature amendments onto dual polarimetric of ALOS PALSAR-2 were then assessed by means of variable importance to improve classification performance. Four machine learners were selected based on previous research and evaluated through classification accuracy. The best performer was Random Forest followed by C5.0, which generated accuracy at 82% and 81%, respectively. The response of data amendment varied over different classifiers. Random Forest and C5.0 seem to produce the highest accuracy at the best data-subset, while additional features with contribution less than 20% tended to reduce the accuracies of the two classifiers. Meanwhile, extreme gradient boosting tree and support vector machine kept increasing their accuracies, although additional features contributed trivially. |
| Keywords | C5, crops mapping, Extreme gradient boosting tree, PALSAR-2, Polarimetry, Random forest, Support vector machine |
| ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
| 401302. Geospatial information systems and geospatial data modelling | |
| 300405. Crop and pasture biomass and bioproducts | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Bogor Agricultural University, Indonesia |
| Hasanuddin University, Indonesia | |
| School of Civil Engineering and Surveying | |
| Royal Melbourne Institute of Technology (RMIT) | |
| University of New South Wales | |
| Institution of Origin | University of Southern Queensland |
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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 Conference of the Ecological Society of Australia (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.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. 95-106Using 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 (MODSIM2013). Adelaide, Australia 01 - 06 Dec 2013 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2013.L1.espada