Forest cover change analysis based on temporal gradients of the vertical structure and density

Author(s)

Berveglieri, Adilson ^[1] ; Imai, Nilton N. ^[1] ; Tommaselli, Antonio M. G. ^[1] ; Martins-Neto, Rorai P. ^[1] ; Miyoshi, Gabriela Takahashi ^[1] ; Honkavaara, Eija ^[2]

Affiliation

^[1] UNESP Univ Estadual Paulista, Dept Cartog, Rua Roberto Simonsen 305, BR-19060900 Presidente Prudente - Brazil

^[2] Natl Land Survey Finland, Dept Remote Sensing & Photogrammetry, Finnish Geodet Inst FGI, Helsinki - Finland

• Document type: Journal article
• Source: ECOLOGICAL INDICATORS; v. 126, JUL 2021.
• Web of Science Citations: 0

Abstract

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. (AU)

• FAPESP's process: 13/50426-4 - Unmanned airborne vehicle-based 4D remote sensing for mapping Rain Forest biodiversity and its change in Brazil (UAV_4D_Bio)
• Grantee: Antonio Maria Garcia Tommaselli
• Support Opportunities: Regular Research Grants
• FAPESP's process: 14/05033-7 - Integrated Orientation of Hyperspectral Images Collected with UAV
• Grantee: Adilson Berveglieri
• Support Opportunities: Scholarships in Brazil - Post-Doctoral