TY - BOOK ID - 61121976 TI - 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function AU - Latifi, Hooman AU - Valbuena, Ruben PY - 2019 SN - 3039217836 3039217828 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - normalized difference vegetation index (NDVI) KW - SRTMGL1 KW - SPOT-6 KW - urban ecology KW - terrestrial laser scanner KW - Lantana camara KW - terrestrial laser scanning KW - harvester KW - product recovery KW - imputation KW - optimization KW - multi-spectral KW - function KW - ZiYuan-3 stereo images KW - spatial noise KW - 3D remote sensing KW - tree measurement KW - diameter at breast height (DBH) KW - DSM KW - metabolic scale theory KW - municipal forestry KW - digital photogrammetry KW - Norway spruce KW - missing observations KW - interrater agreement KW - measurement error KW - stump height KW - Fractional cover analysis KW - google earth engine KW - high-voltage power transmission lines KW - habitat fragmentation KW - codispersion coefficient KW - forest fire KW - tree height KW - nu SVR KW - RapidEye KW - uneven-aged mountainous KW - random Hough transform KW - kriging KW - street trees KW - ground validation KW - Google Street View KW - laser KW - species identification KW - composition KW - maximum forest heights KW - mountainous areas KW - landscape fragmentation KW - Landsat 8 KW - forest canopy height KW - allometric scaling and resource limitation model KW - urban forestry KW - point cloud KW - GSV KW - stump diameter KW - structure KW - 3D KW - codispersion map KW - forest ecology KW - polarimetery KW - crowdsourced data UR - https://www.unicat.be/uniCat?func=search&query=sysid:61121976 AB - 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. ER -