Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets

Wingate, Vladimir R., Phinn, Stuart R., Kuhn, Nikolaus and Scarth, Peter (2017) Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets. International Journal of Remote Sensing, 39 2: 577-606. doi:10.1080/01431161.2017.1390271


Author Wingate, Vladimir R.
Phinn, Stuart R.
Kuhn, Nikolaus
Scarth, Peter
Title Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets
Journal name International Journal of Remote Sensing   Check publisher's open access policy
ISSN 0143-1161
1366-5901
Publication date 2017-10-16
Year available 2017
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1080/01431161.2017.1390271
Open Access Status Not yet assessed
Volume 39
Issue 2
Start page 577
End page 606
Total pages 30
Place of publication Abingdon, Oxfordshire United Kingdom
Publisher TAYLOR & FRANCIS
Language eng
Abstract Maps that accurately quantify aboveground vegetation biomass (AGB) are essential for ecosystem monitoring and conservation. Throughout Namibia, four vegetation change processes are widespread, namely, deforestation, woodland degradation, the encroachment of the herbaceous and grassy layers by woody strata (woody thickening), and woodland regrowth. All of these vegetation change processes affect a range of key ecosystem services, yet their spatial and temporal dynamics and contributions to AGB change remain poorly understood. This study quantifies AGB associated with the different vegetation change processes over an 8-year period, for a region of Kalahari woodland savannah in northern Namibia. Using data from 101 forest inventory plots collected during two field campaigns (2014-2015), we model AGB as a function of the Advanced Land Observing Satellite Phased Array L-band synthetic aperture radar (PALSAR and PALSAR-2) and dry season Landsat vegetation index composites, for two periods (2007 and 2015). Differences in AGB between 2007 and 2015 were assessed and validated using independent data, and changes in AGB for the main vegetation processes are quantified for the whole study area (75,501km(2)). We find that woodland degradation and woody thickening contributed a change in AGB of -14.3 and 2.5 Tg over 14% and 3.5% of the study area, respectively. Deforestation and regrowth contributed a smaller portion of AGB change, i.e. -1.9 and 0.2 Tg over 1.3% and 0.2% of the study area, respectively.
Keyword Synthetic-Aperture Radar
Remote-Sensing Data
Alos Palsar Data
Estimating Forest Biomass
L-Band
Time-Series
Tropical Forest
Airborne Lidar
Global Change
Sar Data
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: HERDC Pre-Audit
School of Earth and Environmental Sciences
 
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Created: Sat, 16 Dec 2017, 23:35:42 EST