3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecolog…
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- Full title :3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function.
Summary
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest's compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest's ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
Read More ↓Edition Statements
- Publication Date:2019
Publication Statements
- Publisher(s):MDPI (Multidisciplinary Digital Publishing Institute
- Place of Publication:Erscheinungsort nicht ermittelbar
- Language:und
- Publication Date:2019
The Physical Object
- Description:1 Online-Ressource (1 electronic resource (188 p.))
Edition Identifiers
- ISBN:9783039217823, 3039217828, 9783039217830, 3039217836
- oclc:on1193021957
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