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Article

Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa

1
Natural Resources and Environment Unit, The Council for Scientific and Industrial Research (CSIR), P.O. Box 395, Pretoria 0001, South Africa
2
Department of Plant and Soil Science, University of Pretoria, Pretoria 0002, South Africa
3
Risk and Vulnerability Assessment Centre, University of Limpopo, Sovenga 0727, South Africa
*
Author to whom correspondence should be addressed.
Academic Editors: nameGeoffrey M. Henebry, Forrest M. Hoffman, Jitendra Kumar, Xiaoyang Zhang and Clement Atzberger
Remote Sens. 2017, 9(7), 689; https://doi.org/10.3390/rs9070689
Received: 1 June 2017 / Revised: 30 June 2017 / Accepted: 2 July 2017 / Published: 4 July 2017
Understanding the spatio-temporal dynamics of land surface phenology is important to understanding changes in landscape ecological processes of semi-arid savannas in Southern Africa. The aim of the study was to determine the influence of variation in tree cover percentage on land surface phenological response in the semi-arid savanna of Southern Africa. Various land surface phenological metrics for the green-up and senescing periods of the vegetation were retrieved from leaf index area (LAI) seasonal time series (2001 to 2015) maps for a study region in South Africa. Tree cover (%) data for 100 randomly selected polygons grouped into three tree cover classes, low (<20%, n = 44), medium (20–40%, n = 22) and high (>40%, n = 34), were used to determine the influence of varying tree cover (%) on the phenological metrics by means of the t-test. The differences in the means between tree cover classes were statistically significant (t-test p < 0.05) for the senescence period metrics but not for the green-up period metrics. The categorical data results were supported by regression results involving tree cover and the various phenological metrics, where tree cover (%) explained 40% of the variance in day of the year at end of growing season compared to 3% for the start of the growing season. An analysis of the impact of rainfall on the land surface phenological metrics showed that rainfall influences the green-up period metrics but not the senescence period metrics. Quantifying the contribution of tree cover to the day of the year at end of growing season could be important in the assessment of the spatial variability of a savanna ecological process such as the risk of fire spread with time. View Full-Text
Keywords: land surface phenology; remote sensing; tree cover; rainfall; semi-arid savanna; Southern Africa land surface phenology; remote sensing; tree cover; rainfall; semi-arid savanna; Southern Africa
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MDPI and ACS Style

Cho, M.A.; Ramoelo, A.; Dziba, L. Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa. Remote Sens. 2017, 9, 689. https://doi.org/10.3390/rs9070689

AMA Style

Cho MA, Ramoelo A, Dziba L. Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa. Remote Sensing. 2017; 9(7):689. https://doi.org/10.3390/rs9070689

Chicago/Turabian Style

Cho, Moses A., Abel Ramoelo, and Luthando Dziba. 2017. "Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa" Remote Sensing 9, no. 7: 689. https://doi.org/10.3390/rs9070689

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