Advances in camera trap data management tools: Towards collaborative development and integration with GIS


Autoria(s): Zaragozí Zaragozí, Benito Manuel; Belda, Antonio; Giménez Font, Pablo; Navarro Carrión, José Tomás; Bonet Jornet, Andreu
Contribuinte(s)

Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente

Universidad de Alicante. Departamento de Análisis Geográfico Regional y Geografía Física

Universidad de Alicante. Departamento de Ecología

Universidad de Alicante. Instituto Interuniversitario de Geografía

Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"

Ecología Espacial y del Paisaje (EEP)

Cambios Paleoambientales

Medio, Sociedad y Paisaje (MedSPai)

Paisajes y Recursos Naturales en España

Gestión de Ecosistemas y de la Biodiversidad (GEB)

Data(s)

11/02/2016

11/02/2016

01/11/2015

Resumo

Camera traps have become a widely used technique for conducting biological inventories, generating a large number of database records of great interest. The main aim of this paper is to describe a new free and open source software (FOSS), developed to facilitate the management of camera-trapped data which originated from a protected Mediterranean area (SE Spain). In the last decade, some other useful alternatives have been proposed, but ours focuses especially on a collaborative undertaking and on the importance of spatial information underpinning common camera trap studies. This FOSS application, namely, “Camera Trap Manager” (CTM), has been designed to expedite the processing of pictures on the .NET platform. CTM has a very intuitive user interface, automatic extraction of some image metadata (date, time, moon phase, location, temperature, atmospheric pressure, among others), analytical (Geographical Information Systems, statistics, charts, among others), and reporting capabilities (ESRI Shapefiles, Microsoft Excel Spreadsheets, PDF reports, among others). Using this application, we have achieved a very simple management, fast analysis, and a significant reduction of costs. While we were able to classify an average of 55 pictures per hour manually, CTM has made it possible to process over 1000 photographs per hour, consequently retrieving a greater amount of data.

This project has been carried out thanks to the UNCROACH project (CGL-2011-30581-CC02-01) from the Spanish Ministry of Economy and Competitiveness; and has been partially funded by the public call for research projects of the Conselleria of Education (T6217-2010); and the Institute of Culture Juan Gil-Albert-Alicante.

Identificador

Ecological Informatics. 2015, 30: 6-11. doi:10.1016/j.ecoinf.2015.08.001

1574-9541 (Print)

1878-0512 (Online)

http://hdl.handle.net/10045/53033

10.1016/j.ecoinf.2015.08.001

Idioma(s)

eng

Publicador

Elsevier

Relação

http://dx.doi.org/10.1016/j.ecoinf.2015.08.001

Direitos

© 2015 Elsevier B.V.

info:eu-repo/semantics/restrictedAccess

Palavras-Chave #Camera traps #Data management and analyses #Free and open source software #Geographical information systems #Wildlife monitoring #Ecología #Geografía Física
Tipo

info:eu-repo/semantics/article