Mapping and monitoring fractional woody vegetation cover in the arid savannas of Namibia using LiDAR training data, machine learning, and ALOS PALSAR data
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Date
Authors
Wessels, Konrad
Mathieu, Renaud
Knox, Nichola
Main, Russell
Naidoo, Laven
Steenkamp, Karen
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI Publishing
Abstract
Namibia is a very arid country, which has experienced significant bush encroachment and
associated decreased livestock productivity. Therefore, it is essential to monitor bush encroachment
and widespread debushing activities, including selective bush thinning and complete bush clearing.
The aim of study was to develop a system to map and monitor fractional woody cover (FWC) at national
scales (50 m and 75 m resolution) using Synthetic Aperture Radar (SAR) satellite data (Advanced
Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) global
mosaics, 2009, 2010, 2015, 2016) and ancillary variables (mean annual precipitation—MAP, elevation),
with machine learning models that were trained with diverse airborne Light Detection and Ranging
(LiDAR) data sets (244,032 ha, 2008–2014). When only the SAR variables were used, an average R2
of 0.65 (RSME = 0.16) was attained. Adding either elevation or MAP, or both ancillary variables,
increased the mean R2 to 0.75 (RSME = 0.13), and 0.79 (RSME = 0.12). The inclusion of MAP addressed
the overestimation of FWC in very arid areas, but resulted in anomalies in the form of sharp gradients
in FWC along a MAP contour which were most likely caused by to the geographic distribution of the
LiDAR training data. Additional targeted LiDAR acquisitions could address this issue. This was the
first attempt to produce SAR-derived FWC maps for Namibia and the maps contain substantially
more detailed spatial information on woody vegetation structure than existing national maps. During
the seven-year study period the Shrubland–Woodland Mosaic was the only vegetation structural
class that exhibited a regional net gain in FWC of more than 0.2 across 9% (11,906 km2) of its area that
may potentially be attributed to bush encroachment. FWC change maps provided regional insights
and detailed local patterns related to debushing and regrowth that can inform national rangeland
policies and debushing programs.
Description
Supplementary matgerial: Figure S1. SAR backscatter (gamma-naught) as a function of LiDAR derived fractional woody cover (FWC) for
HH (left) and HV (right) polarizations of ALOS PALSAR data. Figure S2. Fractional woody cover (FWC) derived
from LiDAR training data as a function of mean annual precipitation (MAP) in the training data set of northern
Namibia. Figure S3. Changes in fractional woody cover between 2010 and 2009 for each vegetation structural
class. Figure S4. Changes in fractional woody cover between 2016 and 2015 for each vegetation structural class.
Keywords
Namibia, Bush encroachment, Debushing, Fractional woody cover (FWC), Synthetic aperture radar (SAR), Advanced land observing satellite (ALOS), Phased arrayed L-band synthetic aperture radar (PALSAR), Mean annual precipitation (MAP), Light detection and ranging (LiDAR)
Sustainable Development Goals
Citation
Wessels, K., Mathieu, R., Knox, N. et al. 2019, 'Mapping and monitoring fractional woody vegetation cover in the arid savannas of Namibia using LiDAR training data, machine learning, and ALOS PALSAR data', Remote Sensing, vol. 11, no. 22, art. 2633, pp. 1-32.