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Remote sensing of seagrasses in a patchy multi-species environment
Stockholm University, Faculty of Science, Department of Systems Ecology.
2011 (English)In: International Journal of Remote Sensing, ISSN 0143-1161, E-ISSN 1366-5901, Vol. 32, no 8, 2227-2244 p.Article in journal (Refereed) Published
Abstract [en]

We tested the utility of IKONOS satellite imagery to map seagrass distribution and biomass in a 4.1 km2 area around Chumbe Island, Zanzibar, Tanzania. Considered to be a challenging environment to map, this area is characterized by a diverse mix of inter- and subtidal habitat types. Our mapped distribution of seagrasses corresponded well to field data, although the total seagrass area was underestimated due to spectral confusion and misclassification of areas with sparse seagrass patches as sparse coral and algae-covered limestone rock. Seagrass biomass was also accurately estimated (r2 = 0.83), except in areas with Thalassodendron ciliatum (r2 = 0.57), as the stems of T. ciliatum change the relationship between light interception and biomass from that of other species in the area. We recommend the use of remote sensing over field-based methods for seagrass mapping because of the comprehensive coverage, high accuracy and ability to estimate biomass. The results obtained with IKONOS imagery in our complex study area are encouraging, and support the use of this data source for seagrass mapping in similar areas.

Place, publisher, year, edition, pages
2011. Vol. 32, no 8, 2227-2244 p.
National Category
Remote Sensing
URN: urn:nbn:se:su:diva-68643DOI: 10.1080/01431161003692057ISI: 000289839800009OAI: diva2:473688
authorCount :2Available from: 2012-01-07 Created: 2012-01-04 Last updated: 2012-01-07Bibliographically approved

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