A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal
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- 作者：Sérgio Godinho ; Artur Gil ; Nuno Guiomar ; Nuno Neves…
- 关键词：Canopy density ; FCD ; Agroforestry ; Montado ; Dehesa ; Advanced vegetation index
- 刊名：Agroforestry Systems
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：90
- 期：1
- 页码：23-34
- 全文大小：1,455 KB
- 参考文献：AFN 2010 Relatório Final do 5.º Inventário Florestal Nacional (IFN5). Autoridade Florestal Nacional, Lisboa, Portugal
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Artur Gil (2)
Nuno Guiomar (1)
Nuno Neves (3) (4)
Teresa Pinto-Correia (1)
1. Landscape Dynamics and Social Processes Research Group, Departamento de Paisagem, Ambiente e Ordenamento, ICAAM - Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Ap. 94, 7002-554, Évora, Portugal
2. CE3C - Centre for Ecology, Evolution and Environmental Changes (Research Group in Island Environmental Risks & Society); Azorean Biodiversity Group, Department of Biology, University of the Azores, 9501-801, Ponta Delgada, Portugal
3. Faculdade de Ciências Sociais e Humanas, e-GEO, Research Centre for Geography and Regional Planning, Universidade Nova de Lisboa, Lisboa, Portugal
4. Departamento de Paisagem, Ambiente e Ordenamento, Universidade de Évora, 7002-554, Évora, Portugal - 刊物类别：Biomedical and Life Sciences
- 刊物主题：Life Sciences
Forestry
Agriculture - 出版者：Springer Netherlands
- ISSN：1572-9680
文摘
Mapping the land-cover pattern dominated by complex Mediterranean silvo-pastoral systems with an accuracy that enables precise monitoring of changing tree-cover density is still an open challenge. The main goal of this paper is to demonstrate the implementation and effectiveness of the Forest Canopy Density (FCD) model in producing a remote sensing-based and detailed map of montado canopy density over a large territory in southern Portugal. This map will make a fundamental contribution to accurately identifying and assessing High Nature Value farmland in montado areas. The results reveal that the FCD model is an effective approach to estimating the density classes of montado canopy (overall accuracy = 78.0 %, kappa value = 0.71). The study also shows that the FCD approach generated good user’s and producer’s accuracies for the three montado canopy-density classes. Globally, the results obtained show that biophysical indices such as the advanced vegetation index, the bare soil index, the shadow index and the thermal index are suitable for estimating and mapping montado canopy-density classes. These results constitute the first remote sensing-based product for mapping montado canopy density that has been developed using the FCD model. This research clearly demonstrates that this approach can be used in the context of Mediterranean agro-forestry systems. Keywords Canopy density FCD Agroforestry Montado Dehesa Advanced vegetation index