3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function

• Autore: Latifi Hooman
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 online resource (188 p.)
• Soggetto topico: Biology, life sciences
• Soggetto non controllato: 3D; 3D remote sensing; allometric scaling and resource limitation model; codispersion coefficient; codispersion map; composition; crowdsourced data; diameter at breast height (DBH); digital photogrammetry; DSM; forest canopy height; forest ecology; forest fire; Fractional cover analysis; function; google earth engine; Google Street View; ground validation; GSV; habitat fragmentation; harvester; high-voltage power transmission lines; imputation; interrater agreement; kriging; Landsat 8; landscape fragmentation; Lantana camara; laser; maximum forest heights; measurement error; metabolic scale theory; missing observations; mountainous areas; multi-spectral; municipal forestry; normalized difference vegetation index (NDVI); Norway spruce; nu SVR; optimization; point cloud; polarimetery; product recovery; random Hough transform; RapidEye; spatial noise; species identification; SPOT-6; SRTMGL1; street trees; structure; stump diameter; stump height; terrestrial laser scanner; terrestrial laser scanning; tree height; tree measurement; uneven-aged mountainous; urban ecology; urban forestry; ZiYuan-3 stereo images
• Persona (resp. second.): ValbuenaRuben
• Sommario/riassunto: 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.
• Altri titoli varianti: 3D Remote Sensing Applications in Forest Ecology
• Titolo autorizzato: 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
• ISBN: 3-03921-783-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367744003321
• Lo trovi qui: Univ. Federico II