000			04510naaaa2200997uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/39900
005			20220220061110.0
020			_abooks978-3-03921-783-0
020			_a9783039217830
020			_a9783039217823
024	7		_a10.3390/books978-3-03921-783-0 _cdoi
041	0		_aEnglish
042			_adc
100	1		_aLatifi, Hooman _4auth
700	1		_aValbuena, Ruben _4auth
245	1	0	_a3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
260			_bMDPI - Multidisciplinary Digital Publishing Institute _c2019
300			_a1 electronic resource (188 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aDear 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.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/
546			_aEnglish
653			_anormalized difference vegetation index (NDVI)
653			_aSRTMGL1
653			_aSPOT-6
653			_aurban ecology
653			_aterrestrial laser scanner
653			_aLantana camara
653			_aterrestrial laser scanning
653			_aharvester
653			_aproduct recovery
653			_aimputation
653			_aoptimization
653			_amulti-spectral
653			_afunction
653			_aZiYuan-3 stereo images
653			_aspatial noise
653			_a3D remote sensing
653			_atree measurement
653			_adiameter at breast height (DBH)
653			_aDSM
653			_ametabolic scale theory
653			_amunicipal forestry
653			_adigital photogrammetry
653			_aNorway spruce
653			_amissing observations
653			_ainterrater agreement
653			_ameasurement error
653			_astump height
653			_aFractional cover analysis
653			_agoogle earth engine
653			_ahigh-voltage power transmission lines
653			_ahabitat fragmentation
653			_acodispersion coefficient
653			_aforest fire
653			_atree height
653			_anu SVR
653			_aRapidEye
653			_auneven-aged mountainous
653			_arandom Hough transform
653			_akriging
653			_astreet trees
653			_aground validation
653			_aGoogle Street View
653			_alaser
653			_aspecies identification
653			_acomposition
653			_amaximum forest heights
653			_amountainous areas
653			_alandscape fragmentation
653			_aLandsat 8
653			_aforest canopy height
653			_aallometric scaling and resource limitation model
653			_aurban forestry
653			_apoint cloud
653			_aGSV
653			_astump diameter
653			_astructure
653			_a3D
653			_acodispersion map
653			_aforest ecology
653			_apolarimetery
653			_acrowdsourced data
856	4	0	_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/1813 _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/39900 _70 _zDOAB: description of the publication
999			_c69831 _d69831