3D Remote Sensing Applications in Forest Ecology

Composition, Structure and Function

Edited by
November 2019
188 pages
  • ISBN978-3-03921-782-3 (Paperback)
  • ISBN978-3-03921-783-0 (PDF)

This book is a reprint of the Special Issue 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function that was published in

Biology & Life Sciences
Environmental & Earth Sciences

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.

  • Paperback
License and Copyright
© 2020 by the authors; CC BY license
diameter at breast height (DBH); tree height; random Hough transform; point cloud; terrestrial laser scanning; codispersion coefficient; codispersion map; imputation; kriging; measurement error; missing observations; spatial noise; stump diameter; stump height; harvester; product recovery; Norway spruce; forest canopy height; ZiYuan-3 stereo images; SRTMGL1; digital photogrammetry; Landsat 8; mountainous areas; high-voltage power transmission lines; habitat fragmentation; landscape fragmentation; normalized difference vegetation index (NDVI); crowdsourced data; Google Street View; interrater agreement; municipal forestry; species identification; street trees; tree measurement; urban ecology; urban forestry; maximum forest heights; metabolic scale theory; allometric scaling and resource limitation model; forest fire; google earth engine; terrestrial laser scanner; laser; ground validation; Lantana camara; SPOT-6; RapidEye; 3D; DSM; Fractional cover analysis; GSV; nu SVR; uneven-aged mountainous; polarimetery; multi-spectral; optimization; 3D remote sensing; composition; forest ecology; function; structure

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