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Identification of Successional Stages and Cover Changes of Tropical Forest Based on Digital Surface Model Analysis

Identificadores del recurso

http://dx.doi.org/10.1109/JSTARS.2016.2606320

Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 9, n. 12, p. 5385-5397, 2016.

1939-1404

http://hdl.handle.net/11449/162324

10.1109/JSTARS.2016.2606320

WOS:000391468100010

WOS000391468100010.pdf

2985771102505330

0000-0003-0516-0567

Procedencia

(LA Referencia)

Ficha

Título:: Identification of Successional Stages and Cover Changes of Tropical Forest Based on Digital Surface Model Analysis
Tema:: Forestry; image texture analysis; photography; remote sensing; vegetation mapping
Descripción:: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Forests are in a permanent state of change due to natural and anthropogenic processes. Long-term time series analysis makes it possible to reconstruct the forest history and perform a multitemporal analysis on the cause and effect of changes. This paper describes an approach for successional stage classification in a tropical forest based on vertical structure variations. Stereophotogrammetry and novel image matching methods are used to produce dense digital surface models (DSMs) from optical images (historical and contemporary). An approach was developed to classify the successional stages of trees using local height variations provided by a DSM and image intensity values. Experiments were performed in a semi-deciduous tropical forest fragment located in the West of Sao Paulo State, Brazil. Six test sample plots and a line transect were established and field surveys were conducted to collect forest variables. These variables were used to characterize and validate five successional classes based on secondary tree species that stratify the forest canopy. The current status of the entire forest fragment was characterized using recent photogrammetric imagery, and a map of historical successional stages was established by analyzing the historical photogrammetric imagery. The investigation demonstrated that the proposed technique can be used to reconstruct the geometric structure of a forest canopy from aerial images. The successional stages can be identified and compared over time using multitemporal photogrammetric imagery and DSMs, which enables an analysis of forest cover changes. The results indicated that the successional stage has changed dramatically during the 50 years period of time.
Fuente:: reponame:Repositório Institucional da UNESP; instname:Universidade Estadual Paulista (UNESP); instacron:UNESP
Idioma:: English
Relación:: Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing; 1,547
Autor/Productor:: Berveglieri, Adilson; Garcia Tommaselli, Antonio Maria; Imai, Nilton Nobuhiro; Werneck Ribeiro, Eduardo Augusto; Guimaraes, Raul Borges; Honkavaara, Eija
Editor:: Ieee-inst Electrical Electronics Engineers Inc
Otros colaboradores/productores:: Universidade Estadual Paulista (UNESP)
Derechos:: info:eu-repo/semantics/openAccess
Fecha:: 2018-11-26T17:15:37Z; 2016-12-01
Tipo de recurso:: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
Formato:: 5385-5397
About:: 2022-05-10T14:48:01Zhttp://www.openarchives.org/OAI/2.0/oai_dc/Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)

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