04560nam 2201081z- 450 9910367744003321202102113-03921-783-6(CKB)4100000010106277(oapen)https://directory.doabooks.org/handle/20.500.12854/39900(oapen)doab39900(EXLCZ)99410000001010627720202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrier3D Remote Sensing Applications in Forest Ecology: Composition, Structure and FunctionMDPI - Multidisciplinary Digital Publishing Institute20191 online resource (188 p.)3-03921-782-8 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.3D Remote Sensing Applications in Forest EcologyBiology, life sciencesbicssc3D3D remote sensingallometric scaling and resource limitation modelcodispersion coefficientcodispersion mapcompositioncrowdsourced datadiameter at breast height (DBH)digital photogrammetryDSMforest canopy heightforest ecologyforest fireFractional cover analysisfunctiongoogle earth engineGoogle Street Viewground validationGSVhabitat fragmentationharvesterhigh-voltage power transmission linesimputationinterrater agreementkrigingLandsat 8landscape fragmentationLantana camaralasermaximum forest heightsmeasurement errormetabolic scale theorymissing observationsmountainous areasmulti-spectralmunicipal forestrynormalized difference vegetation index (NDVI)Norway sprucenu SVRoptimizationpoint cloudpolarimeteryproduct recoveryrandom Hough transformRapidEyespatial noisespecies identificationSPOT-6SRTMGL1street treesstructurestump diameterstump heightterrestrial laser scannerterrestrial laser scanningtree heighttree measurementuneven-aged mountainousurban ecologyurban forestryZiYuan-3 stereo imagesBiology, life sciencesLatifi Hoomanauth1290160Valbuena RubenauthBOOK99103677440033213D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function3021368UNINA