A Large-scale, Long-term view on Collecting and Sharing Landscape Data

Lanz, Adrian; Brändli, Martin; Baltensweiler, Andri

doi:10.1007/978-1-4020-4436-6_7

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Metadata should comply with some widely and internationally accepted standards (Lanz et al, 2007). For data sharing purposes other file formats or database access interfaces should be considered.…”

Section: Discussionmentioning

confidence: 99%

The spectral database SPECCHIO for improved long-term usability and data sharing

Hueni¹,

Nieke²,

Schopfer³

et al. 2009

Computers & Geosciences

131

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The spectral database SPECCHIO for improved long-term usability and data sharing AbstractThe organised storage of spectral data described by metadata is important for long-term use and data sharing with other scientists. Metadata describing the sampling environment, geometry and measurement process serves to evaluate the suitability of existing data sets for new applications. There is a need for spectral databases that serve as repositories for spectral field campaign and reference signatures, including appropriate metadata parameters. Such systems must be (a) highly automated in order to encourage users entering their spectral data collections and (b) provide flexible data retrieval mechanisms based on subspace projections in metadata spaces. The recently redesigned SPECCHIO system stores spectral and metadata in a relational database based on a non-redundant data model and offers efficient data import, automated metadata generation, editing and retrieval via a Java application. RSL is disseminating the database and software to the remote sensing community in order to foster the use and further development of spectral databases. The organised storage of spectral data described by according metadata is important for long term use and data sharing with other scientists. Metadata describing the sampling environment, geometry and measurement process serves to evaluate the suitability of existing data sets for new applications. There is a need for spectral databases that serve as repositories for spectral field campaign and reference signatures including appropriate metadata parameters. Such systems must be (a) highly automated in order to encourage users entering their spectral data collections and (b) provide flexible data retrieval mechanisms based on subspace projections in metadata spaces. The recently redesigned SPECCHIO system stores spectral and metadata in a relational database based on a nonredundant data model and offers efficient data import, automated metadata generation, editing and retrieval via a Java application. RSL is disseminating the database and software to the remote sensing community in order to foster the use and further development of spectral databases.

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Section: Discussionmentioning

confidence: 99%

The spectral database SPECCHIO for improved long-term usability and data sharing

Hueni¹,

Nieke²,

Schopfer³

et al. 2009

Computers & Geosciences

131

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“…The ultimate goal should be to establish sound data structures. These form the indispensable foundation for a statistical analysis of landscape patterns and will enable comprehensive exploration and modeling of temporal and spatial processes in a landscape (Lanz et al 2009 ). Data is important, but it must also be transformed into information; here, we defi ne information as raw data combined with knowledge about the context of the data, including interrelationships between existing data; about how the data was collected, processed, and used; and about how the data should be understood within a given application.…”

Section: The Monitoring and Assessment Proceduresmentioning

confidence: 99%

Landscape assessment and monitoring

Gómez-Sanz

Bunce

Elena-Rosselló

2014

Forest Landscapes and Global Change

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In the present chapter, we provide a basis for discussing some of the main issues concerning the dynamic behavior of landscape systems, and ways to assess their changes over time. We present an illustrative description of a particular Spanish monitoring program in which the authors have been involved. First, we describe landscapes as complex systems with ecosystems that exhibit inherently dynamic behavior. In the following section, we cover the topic of how to study landscape changes, and discuss some of the tools that have been most widely used in recent years. Section 2 discusses the main restrictions and limitations of these approaches, and Sect. 3 discusses the basic procedures used for landscape monitoring and assessment. Finally, Sect. 4 describes one assessment and monitoring program, the Spanish Rural Landscape Monitoring System (SISPARES), identifi es bottlenecks, and assesses the system's strengths and weaknesses. The overall purpose of the chapter is to provide readers with methodological tools to identify and evaluate structural and functional changes in landscapes, thereby supporting the development of guidelines for effective and sustainable landscape management. The problem of monitoring complex systemsLandscapes show high levels of structural and functional ecological complexity, as well as dynamic behavior. Most current landscapes consist of diverse systems composed of a range of different ecosystem types that have developed in a given area

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