TY  - BOOK
TI  - 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
SN  - 9783039217823
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Biology, life sciences
KW  - bicssc
KW  - 3D
KW  - 3D remote sensing
KW  - allometric scaling and resource limitation model
KW  - codispersion coefficient
KW  - codispersion map
KW  - composition
KW  - crowdsourced data
KW  - diameter at breast height (DBH)
KW  - digital photogrammetry
KW  - DSM
KW  - forest canopy height
KW  - forest ecology
KW  - forest fire
KW  - Fractional cover analysis
KW  - function
KW  - google earth engine
KW  - Google Street View
KW  - ground validation
KW  - GSV
KW  - habitat fragmentation
KW  - harvester
KW  - high-voltage power transmission lines
KW  - imputation
KW  - interrater agreement
KW  - kriging
KW  - Landsat 8
KW  - landscape fragmentation
KW  - Lantana camara
KW  - laser
KW  - maximum forest heights
KW  - measurement error
KW  - metabolic scale theory
KW  - missing observations
KW  - mountainous areas
KW  - multi-spectral
KW  - municipal forestry
KW  - normalized difference vegetation index (NDVI)
KW  - Norway spruce
KW  - nu SVR
KW  - optimization
KW  - point cloud
KW  - polarimetery
KW  - product recovery
KW  - random Hough transform
KW  - RapidEye
KW  - spatial noise
KW  - species identification
KW  - SPOT-6
KW  - SRTMGL1
KW  - street trees
KW  - structure
KW  - stump diameter
KW  - stump height
KW  - terrestrial laser scanner
KW  - terrestrial laser scanning
KW  - tree height
KW  - tree measurement
KW  - uneven-aged mountainous
KW  - urban ecology
KW  - urban forestry
KW  - ZiYuan-3 stereo images
N1  - Open Access
N2  - 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
UR  - https://directory.doabooks.org/handle/20.500.12854/39900
UR  - https://mdpi.com/books/pdfview/book/1813
ER  -