文章基本信息

标题：Satellite-based tree cover mapping for forest conservation in the drylands of Sub Saharan Africa (SSA): Application to Burkina Faso gazetted forests
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作者：Guigonan Serge Adjognon ; Alexis Rivera-Ballesteros ; Daan van Soest 等
期刊名称：Development Engineering
印刷版ISSN：2352-7285
电子版ISSN：2352-7285
出版年度：2019
卷号：4
页码：1-11
DOI：10.1016/j.deveng.2018.100039
语种：English
出版社：Elsevier
摘要：In this paper we present a low cost, easy to implement alternative approach to estimate forest cover relying on 10-m resolution Sentinel-2 imagery, highlighting the potential of large temporal and spatial cap- abilities using free publicly-accessible platform and data. This method will be especially useful for those countries that lack national mapping capacity to estimate their forest inventory, including many of the more arid countries in Africa. We leverage recent advances in satellite ima- gery technology to analyze large sets of images, and develop a land cover map for twelve Burkina Faso gazetted forests. The paper con- tributes to the available literature on satellite based image classification to map forest cover, especially in the drylands of Sub-Saharan Africa (SSA). We show the use of different spectral bands and remote sensing- derived indices to run a multi-spectral-based assessment at the pixel level, which is our spatial analysis unit. In addition, we present the accuracy metrics of our estimations at three different probability thresholds indicating how true positive and true negative rates change across them.
关键词：Burkina Faso;Image classification;Forest cover;Sentinel-2;Google Earth engine;Sahel