Forest cover change analysis based on temporal gradients of the vertical structure and density
| Autor: | Antonio Maria Garcia Tommaselli, Eija Honkavaara, Nilton Nobuhiro Imai, Rorai Pereira Martins-Neto, Adilson Berveglieri, Gabriela Takahashi Miyoshi |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp), National Land Survey of Finland |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Canopy Ecology Temporal gradient Forest management General Decision Sciences 010501 environmental sciences Atmospheric sciences Tropical forest 010603 evolutionary biology 01 natural sciences Tree (data structure) Photogrammetry Histogram Historical image Environmental science Cover (algebra) Cover change Categorical variable Ecology Evolution Behavior and Systematics QH540-549.5 0105 earth and related environmental sciences |
| Zdroj: | Ecological Indicators, Vol 126, Iss, Pp 107597-(2021) Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2021-06-25T10:56:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-07-01 Canopy height is an important attribute that allows characterizing the forest vertical structure and analyze changes in vegetation cover over time. The objective of this study is to develop an approach for a spatio-temporal analysis of the tropical forest canopy using multi-temporal photogrammetric images. The datasets based on film and digital cameras are used to generate canopy height models and extract structural variables (tree height, relative variance between tree heights, and density of higher trees in the upper canopy). The combination of these variables is used in the analysis. Each variable is segmented into ordinal categorical classes in its respective dataset with temporal class gradients being obtained between the periods of the multi-temporal datasets. Experiments were conducted in a tropical forest under regeneration and with diversity of tree species in different successional stages. Three sets of images (years 1978, 2010, and 2017) were used for analyzing canopy cover changes. A classification based on histograms of gradient classes indicated and quantified the most frequent behavior of the canopy over time. The results showed that the most significant variations in cover changes could be explained by 13 classes of temporal gradients, which described 88% of the canopy. This classification was validated with field data collected in sample plots. From the results, it can be concluded that the proposed approach provides accurate assessments of the spatio-temporal canopy cover changes for forest management. Department of Cartography UNESP - Universidade Estadual Paulista, Rua Roberto Simonsen 305 Department of Remote Sensing and Photogrammetry Finnish Geodetic Institute FGI National Land Survey of Finland Department of Cartography UNESP - Universidade Estadual Paulista, Rua Roberto Simonsen 305 |
| Databáze: | OpenAIRE |
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