Remote Sensing for Sustainable Forest Management

Franklin, Steven E.

doi:10.1201/9781420032857

Cited by 346 publications

(278 citation statements)

References 0 publications

Supporting

Mentioning

257

Contrasting

Unclassified

Order By: Relevance

“…O uso de equipamentos que permitam obter posicionamento com precisão de centímetros, é primordial para o planejamento florestal (FRANKLIN, 2001). Nesses requisitos, torna-se necessário a utilização de equipamentos GPS com correção diferencial, seja para determinação de áreas como para localização ou marcação de espécies florestais.…”

Section: Venancio D L Et Alunclassified

Mapeamento da Araucaria angustifolia utilizando receptores GPS

Venancio

Disperati

Neves

2010

CERNE

View full text Add to dashboard Cite

RESUMO:Compararam-se, neste trabalho, os resultados do mapeamento planimétrico das árvores de Araucária (Araucaria angustifolia), utilizando a tecnologia GPS nos modos estático diferencial (posicionamento relativo) e estático absoluto. A área de estudo refere-se ao Campus Universitário de Irati -UNICENTRO, no estado do Paraná, Brasil. O mapeamento apontou a presença de 264 Araucárias, sendo possível o posicionamento relativo de 141 árvores, com a precisão variando de 6 a 84 cm; o posicionamento absoluto, possível em todas as Araucárias, apresentou variação de 5 a 14 m. O posicionamento relativo foi possível em 30% das Araucárias onde a declividade foi > 30% e em 57% dos casos em que a área basal foi > 16 m 2 /ha. Pode-se concluir que o posicionamento relativo possui precisão suficiente para a localização das Araucárias, enquanto o posicionamento absoluto pode causar confusão devido ao baixo grau de precisão quanto ao posicionamento planimétrico. O resultado do posicionamento relativo foi influenciado pela declividade e área basal, principalmente em condições de elevada declividade e elevada área basal.Palavras-chave: Floresta com araucária, pinheiro-do-Paraná, posicionamento geográfico, NAVSTAR-GPS. MAPPING OF Araucaria angustifolia TREES USING GPS RECEIVERS ABSTRACT: This study makes use of GPS technology in differential mode (relative positioning) and absolute mode in a Mixed Ombrophilous Forest in order to map the Araucaria angustifolia trees that occur in the area of study (Campus of Irati -UNICENTRO) in

show abstract

Section: Venancio D L Et Alunclassified

Mapeamento da Araucaria angustifolia utilizando receptores GPS

Venancio

Disperati

Neves

2010

CERNE

View full text Add to dashboard Cite

show abstract

“…Since 2004, airborne remote sensing with high-resolution digital sensors has been conducted in Japan. Forestry studies with high-resolution aircraft data have been successful in Canada and the United States (Leckie and Gillis 1993, Hill and Leckie 1998, Franklin 2001, Jensen 2007. Tree quantification, tree crown delineation, species identification, crown density estimation, and forest stand polygon delineation have been conducted with high-resolution data collected with the airborne Multi-detector Electro-optical Imaging Sensor (MEIS) and the Compact Airborne Spectrographic Imager (CASI).…”

Section: Introductionmentioning

confidence: 99%

Application of high-resolution airborne data using individual tree crowns in Japanese conifer plantations

Katoh

Gougeon

Leckie

2009

Journal of Forest Research

View full text Add to dashboard Cite

We investigated conifer plantation management in Japan using high-resolution airborne data based on an individual tree crown (ITC) approach. This study is the first to apply this technique to Japanese forests. We found that forest resources can be measured at the level of a single tree. We also produced a tree crown map for a test site with Chamaecyparis obtusa, Pinus densiflora, Larix kaempferi, Cryptomeria japonica, other conifers, and broadleaved trees, with a classification accuracy of 78%. Forest stand polygons with tree cover types were generated from this map, a tree density map, and a crownoccupied area map. Forest information for the stand polygons was extracted automatically and compared to detailed field survey data. The error rate between our ITC estimates and the field survey data ranged from 0.3 to 30.2%, depending on tree crown size, density, and other factors. Errors were highest for high-density stands with mixed compositions and tree crown diameters of ≤5.0 m. However, the error for stands with crown diameters ≥6.2 m was 11.6% or less. Therefore, this technique is best suited to pure Japanese conifer plantations without multiple layers or high-density stands.

show abstract

“…Thus, there has been a trend for research to develop away from the mapping of broad land cover classes towards a focus on specific classes, often detailed classes such as tree species. Indeed, the latter application has become a focus of considerable attention and made use of data acquired by a range of remote sensing systems (Franklin, 2000;Nagendra, 2001;Brandtberg, 2002;Haara and Haarala, 2002;Brandtberg et al, 2003;Holmgren and Persson, 2003;Sanchez-Azofelfa et al, 2003;Turner et al, 2003;Carleer and Wolff, 2004;Wang et al, 2004;Goodwin et al, 2005;Boschetti et al, 2007 van Aardt andWynne, 2007). The derived information can aid both the assessment of biodiversity and its conservation Wilson et al,2004), especially as the spatial distribution of a species influences its ability to reproduce, compete and disperse as well as suffer damage or death.…”

mentioning

confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

114

View full text Add to dashboard Cite

This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

show abstract

Remote Sensing for Sustainable Forest Management

Cited by 346 publications

References 0 publications

Mapeamento da Araucaria angustifolia utilizando receptores GPS

Mapeamento da Araucaria angustifolia utilizando receptores GPS

Application of high-resolution airborne data using individual tree crowns in Japanese conifer plantations

An overview of recent remote sensing and GIS based research in ecological informatics

Contact Info

Product

Resources

About