Main, Russell SMathieu, Renaud SAKleynhans, WWessels, Konrad JNaidoo, LavenAsner, GP2017-02-232017-02-232016-08Main, R., Mathieu, R.S.A., Kleynhans, W., Wessels, K.J., Naidoo, L. and Asner, G.P. 2016. Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas. Remote Sensing, 8(8), pp 6612072-4292http://www.mdpi.com/2072-4292/8/8/661http://hdl.handle.net/10204/8954Copyright: 2016 MDPISavanna ecosystems and their woody vegetation provide valuable resources and ecosystem services. Locally calibrated and cost effective estimates of these resources are required in order to satisfy commitments to monitor and manage change within them. Baseline maps of woody resources are important for analyzing change over time. Freely available, and highly repetitive, C-band data has the potential to be a viable alternative to high-resolution commercial SAR imagery (e.g., RADARSAT-2, ALOS2) in generating large-scale woody resources maps. Using airborne LiDAR as calibration, we investigated the relationships between hyper-temporal C-band ASAR data and woody structural parameters, namely total canopy cover (TCC) and total canopy volume (TCV), in a deciduous savanna environment. Results showed that: the temporal filter reduced image variance; the random forest model out-performed the linear model; while the TCV metric consistently showed marginally higher accuracies than the TCC metric. Combinations of between 6 and 10 images could produce results comparable to high resolution commercial (C- & L-band) SAR imagery. The approach showed promise for producing a regional scale, locally calibrated, baseline maps for the management of deciduous savanna resources, and lay a foundation for monitoring using time series of data from newer C-band SAR sensors (e.g., Sentinel1).enHyper-temporalSpace-borne synthetic aperture radarSARC-bandCanopy coverCanopy volumeSavanna ecosystemsArticleMain, R. S., Mathieu, R. S., Kleynhans, W., Wessels, K. J., Naidoo, L., & Asner, G. (2016). Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas. http://hdl.handle.net/10204/8954Main, Russel S, Renaud SA Mathieu, W Kleynhans, Konrad J Wessels, Laven Naidoo, and GP Asner "Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas." (2016) http://hdl.handle.net/10204/8954Main RS, Mathieu RS, Kleynhans W, Wessels KJ, Naidoo L, Asner G. Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas. 2016; http://hdl.handle.net/10204/8954.TY - Article AU - Main, Russel S AU - Mathieu, Renaud SA AU - Kleynhans, W AU - Wessels, Konrad J AU - Naidoo, Laven AU - Asner, GP AB - Savanna ecosystems and their woody vegetation provide valuable resources and ecosystem services. Locally calibrated and cost effective estimates of these resources are required in order to satisfy commitments to monitor and manage change within them. Baseline maps of woody resources are important for analyzing change over time. Freely available, and highly repetitive, C-band data has the potential to be a viable alternative to high-resolution commercial SAR imagery (e.g., RADARSAT-2, ALOS2) in generating large-scale woody resources maps. Using airborne LiDAR as calibration, we investigated the relationships between hyper-temporal C-band ASAR data and woody structural parameters, namely total canopy cover (TCC) and total canopy volume (TCV), in a deciduous savanna environment. Results showed that: the temporal filter reduced image variance; the random forest model out-performed the linear model; while the TCV metric consistently showed marginally higher accuracies than the TCC metric. Combinations of between 6 and 10 images could produce results comparable to high resolution commercial (C- & L-band) SAR imagery. The approach showed promise for producing a regional scale, locally calibrated, baseline maps for the management of deciduous savanna resources, and lay a foundation for monitoring using time series of data from newer C-band SAR sensors (e.g., Sentinel1). DA - 2016-08 DB - ResearchSpace DP - CSIR KW - Hyper-temporal KW - Space-borne synthetic aperture radar KW - SAR KW - C-band KW - Canopy cover KW - Canopy volume KW - Savanna ecosystems LK - https://researchspace.csir.co.za PY - 2016 SM - 2072-4292 T1 - Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas TI - Hyper-temporal c-band SAR for baseline woody structural assessments in deciduous savannas UR - http://hdl.handle.net/10204/8954 ER -