Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Eileen H. Helmer; Thomas S. Ruzycki; Jay Benner; Shannon M. Voggesser; Barbara P. Scobie; Courtenay Park; David W. Fanning; Seepersad Ramnarine
    Date: 2012
    Source: Forest Ecology and Management. 279:147-166.
    Publication Series: Scientific Journal (JRNL)
    Station: International Institute of Tropical Forestry
    PDF: Download Publication  (4.48 MB)


    Tropical forest managers need detailed maps of forest types for REDD+, but spectral similarity among forest types; cloud and scan-line gaps; and scarce vegetation ground plots make producing such maps with satellite imagery difficult. How can managers map tropical forest tree communities with satellite imagery given these challenges? Here we describe a case study of mapping tropical forests to floristic classes with gap-filled Landsat imagery by judicious combination of field and remote sensing work. For managers, we include background on current and forthcoming solutions to the problems of mapping detailed tropical forest types with Landsat imagery. In the study area, Trinidad and Tobago, class characteristics like deciduousness allowed discrimination of floristic classes. We also discovered that we could identify most of the tree communities in (1) imagery with fine spatial resolution of 61 m; (2) multiseason fine resolution imagery (viewable with Google Earth); or (3) Landsat imagery from different dates, particularly imagery from drought years, even if decades old, allowing us to collect the extensive training data needed for mapping tropical forest types with ‘‘noisy’’ gap-filled imagery. Further, we show that gap-filled, synthetic multiseason Landsat imagery significantly improves class-specific accuracy for several seasonal forest associations. The class-specific improvements were better for comparing classification results; for in some cases increases in overall accuracy were small. These detailed mapping efforts can lead to new views of tropical forest landscapes. Here we learned that the xerophytic rain forest of Tobago is closely associated with ultramafic geology, helping to explain its unique physiognomy.

    Publication Notes

    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    Helmer, Eileen H.; Ruzycki, Thomas S.; Benner, Jay; Voggesser, Shannon M.; Scobie, Barbara P.; Park, Courtenay; Fanning, David W.; Ramnarine, Seepersad. 2012. Detailed maps of tropical forest types are within reach: forest tree communities for Trinidad and Tobago mapped with multiseason Landsat and multiseason fine-resolution imagery. Forest Ecology and Management. 279:147-166.


    Gap-filled Landsat imagery, Multitemporal imagery, Biodiversity, REDD+, Deciduousness, Floristic composition

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page