dc.contributor.author |
Main, Russell S
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dc.contributor.author |
Mathieu, Renaud SA
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|
dc.contributor.author |
Kleynhans, W
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dc.contributor.author |
Wessels, Konrad J
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dc.contributor.author |
Naidoo, Laven
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dc.contributor.author |
Asner, GP
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dc.date.accessioned |
2015-02-09T07:28:21Z |
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dc.date.available |
2015-02-09T07:28:21Z |
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dc.date.issued |
2014-07 |
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dc.identifier.citation |
Main, R, Mathieu, R, Kleynhans, W, Wessels, K.J., Naidoo, L and Asner, G.P. 2014. Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International Conference, Quebec City, Canada, 13-18 July 2014 |
en_US |
dc.identifier.isbn |
978-1-4799-5774-3 |
|
dc.identifier.uri |
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6946633
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7860
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|
dc.identifier.uri |
DOI: 10.1109/IGARSS.2014.6946633
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|
dc.description |
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International Conference, Quebec City, Canada, 13-18 July 2014 |
en_US |
dc.description.abstract |
Southern African savanna ecosystems and their woody resources are under pressure. Governments in the region need locally calibrated, cost effective, and regularly updated information on these resources in order to satisfy both national and international commitments to manage them. Using LiDAR data as a calibration dataset, this paper sets out to investigate the potential of hyper-temporal C-band ASAR SAR data in mapping woody structural related parameters in a savanna environment. Images spanning three years where grouped by years (2007-2009), season (Wet or Dry) and polarization (HH or VV), and relationships were sought for the woody parameter total canopy cover (TCC). Results show that: Dry season combinations of images outperformed wet season images; HH co-polarised images outperformed VV images; temporally filtered images showed marked improvement on unfiltered images. While non-parametric random forest models achieved better validation accuracies than other models did. The single best result was achieved by combining all the temporally filtered images, from all of the various scenarios (R(sup2)=0.74; RMSE=8.52; SEP=35.27). The results show promise in delivering regional scale, locally calibrated, baseline products for the management of Southern Africa’s woody resources. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE Xplore |
en_US |
dc.relation.ispartofseries |
Workflow;14121 |
|
dc.subject |
Southern African savanna ecosystems |
en_US |
dc.subject |
Woody resources |
en_US |
dc.subject |
Hyper-temporal |
en_US |
dc.subject |
C-Band |
en_US |
dc.title |
Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Main, R. S., Mathieu, R. S., Kleynhans, W., Wessels, K. J., Naidoo, L., & Asner, G. (2014). Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data. IEEE Xplore. http://hdl.handle.net/10204/7860 |
en_ZA |
dc.identifier.chicagocitation |
Main, Russel S, Renaud SA Mathieu, W Kleynhans, Konrad J Wessels, Laven Naidoo, and GP Asner. "Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data." (2014): http://hdl.handle.net/10204/7860 |
en_ZA |
dc.identifier.vancouvercitation |
Main RS, Mathieu RS, Kleynhans W, Wessels KJ, Naidoo L, Asner G, Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data; IEEE Xplore; 2014. http://hdl.handle.net/10204/7860 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Main, Russel S
AU - Mathieu, Renaud SA
AU - Kleynhans, W
AU - Wessels, Konrad J
AU - Naidoo, Laven
AU - Asner, GP
AB - Southern African savanna ecosystems and their woody resources are under pressure. Governments in the region need locally calibrated, cost effective, and regularly updated information on these resources in order to satisfy both national and international commitments to manage them. Using LiDAR data as a calibration dataset, this paper sets out to investigate the potential of hyper-temporal C-band ASAR SAR data in mapping woody structural related parameters in a savanna environment. Images spanning three years where grouped by years (2007-2009), season (Wet or Dry) and polarization (HH or VV), and relationships were sought for the woody parameter total canopy cover (TCC). Results show that: Dry season combinations of images outperformed wet season images; HH co-polarised images outperformed VV images; temporally filtered images showed marked improvement on unfiltered images. While non-parametric random forest models achieved better validation accuracies than other models did. The single best result was achieved by combining all the temporally filtered images, from all of the various scenarios (R(sup2)=0.74; RMSE=8.52; SEP=35.27). The results show promise in delivering regional scale, locally calibrated, baseline products for the management of Southern Africa’s woody resources.
DA - 2014-07
DB - ResearchSpace
DP - CSIR
KW - Southern African savanna ecosystems
KW - Woody resources
KW - Hyper-temporal
KW - C-Band
LK - https://researchspace.csir.co.za
PY - 2014
SM - 978-1-4799-5774-3
T1 - Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data
TI - Woody cover assessments in a Southern African Savanna, using hyper-temporal C-band ASAR-WS data
UR - http://hdl.handle.net/10204/7860
ER - |
en_ZA |