Till sidans topp

Sidansvarig: Webbredaktion
Sidan uppdaterades: 2012-09-11 15:12

Tipsa en vän
Utskriftsversion

Assessing the potential o… - Göteborgs universitet Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species

Artikel i vetenskaplig tidskrift
Författare Martin Karlson
Madelene Ostwald
Heather Reese
Hugues Roméo Bazie
Baolidioa Tankoano
Publicerad i International Journal of Applied Earth Observation and Geoinformation
Volym 50
Nummer/häfte August
Sidor 80-88
ISSN 1569-8432
Publiceringsår 2016
Publicerad vid Centrum för globalisering och utveckling (GCGD)
Göteborgs miljövetenskapliga centrum, GMV
Sidor 80-88
Språk en
Länkar dx.doi.org/10.1016/j.jag.2016.03.00...
Ämnesord Tree species mapping, WorldView-2, Agroforestry, Parkland, Sudano-Sahel
Ämneskategorier Fysisk geografi, Skogsvetenskap, Miljö- och naturvårdsvetenskap

Sammanfattning

High resolution satellite systems enable efficient and detailed mapping of tree cover, with high potential to support both natural resource monitoring and ecological research. This study investigates the capability of multi-seasonal WorldView-2 imagery to map five dominant tree species at the individual tree crown level in a parkland landscape in central Burkina Faso. The Random Forest algorithm is used for object based tree species classification and for assessing the relative importance of WorldView-2 predictors. The classification accuracies from using wet season, dry season and multi-seasonal datasets are compared to gain insights about the optimal timing for image acquisition. The multi-seasonal dataset produced the most accurate classifications, with an overall accuracy (OA) of 83.4%. For classifications based on single date imagery, the dry season (OA = 78.4%) proved to be more suitable than the wet season (OA = 68.1%). The predictors that contributed most to the classification success were based on the red edge band and visible wavelengths, in particular green and yellow. It was therefore concluded that WorldView- 2, with its unique band configuration, represents a suitable data source for tree species mapping in West African parklands. These results are particularly promising when considering the recently launched WorldView-3, which provides data both at higher spatial and spectral resolution, including shortwave infrared bands.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?