کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4464584 1621807 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species
ترجمه فارسی عنوان
ارزیابی پتانسیل تصاویر 2 جهان بینی چندفصلی برای نقشه برداری از گونه های درخت جنگل زراعی غرب آفریقا
کلمات کلیدی
نقشه برداری گونه های درخت ؛ جهان بینی 2؛ جنگل زراعی؛ پارک؛ ساحل Sudano
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی


• WorldView-2 imagery is used to map West African agroforestry tree species.
• The effect of using multi-seasonal imagery for classification is assessed.
• Multi-seasonal imagery outperformed single date imagery in terms of mapping accuracy.
• The early dry season enables higher mapping accuracy compared to the wet season.
• WorldView-2 bands (e.g., red edge) are useful for distinguishing tree species.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 50, August 2016, Pages 80–88
نویسندگان
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