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Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest

Karlson, Martin and Ostwald, Madelene and Reese, Heather and Sanou, J. and Tankoano, Boalidioa and Mattsson, Eskil (2015). Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest. Remote sensing. 7:8, 10017-10041
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Abstract

Accurate and timely maps of tree cover attributes are important tools for environmental research and natural resource management. We evaluate the utility of Landsat 8 for mapping tree canopy cover (TCC) and aboveground biomass (AGB) in a woodland landscape in Burkina Faso. Field data and WorldView-2 imagery were used to assemble the reference dataset. Spectral, texture, and phenology predictor variables were extracted from Landsat 8 imagery and used as input to Random Forest (RF) models. RF models based on multi-temporal and single date imagery were compared to determine the influence of phenology predictor variables. The effect of reducing the number of predictor variables on the RF predictions was also investigated. The model error was assessed using 10-fold cross validation. The most accurate models were created using multi-temporal imagery and variable selection, for both TCC (five predictor variables) and AGB (four predictor variables). The coefficient of determination of predicted versus observed values was 0.77 for TCC (RMSE = 8.9%) and 0.57 for AGB (RMSE = 17.6 tons center dot ha(-1)). This mapping approach is based on freely available Landsat 8 data and relatively simple analytical methods, and is therefore applicable in woodland areas where sufficient reference data areavailable.

Authors/Creators:Karlson, Martin and Ostwald, Madelene and Reese, Heather and Sanou, J. and Tankoano, Boalidioa and Mattsson, Eskil
Title:Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest
Series/Journal:Remote sensing (2072-4292)
Year of publishing :2015
Volume:7
Number:8
Page range:10017-10041
Number of Pages:25
Publisher:MDPI
ISSN:2072-4292
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Geosciences, Multidisciplinary
Keywords:Landsat 8, woodland, Sudano-Sahel, tree canopy cover, aboveground biomass, multi-temporal imagery, Random Forest, variable selection, phenology
URN:NBN:urn:nbn:se:slu:epsilon-e-3360
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3360
Additional ID:
Type of IDID
Web of Science (WoS)000360818800025
DOI10.3390/rs70810017
ID Code:13186
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:05 Apr 2016 09:20
Metadata Last Modified:05 Apr 2016 09:20

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