04461nam 2201045z- 450 991036774400332120231214133435.03-03921-783-6(CKB)4100000010106277(oapen)https://directory.doabooks.org/handle/20.500.12854/39900(EXLCZ)99410000001010627720202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrier3D Remote Sensing Applications in Forest Ecology: Composition, Structure and FunctionMDPI - Multidisciplinary Digital Publishing Institute20191 electronic 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 Ecologynormalized difference vegetation index (NDVI)SRTMGL1SPOT-6urban ecologyterrestrial laser scannerLantana camaraterrestrial laser scanningharvesterproduct recoveryimputationoptimizationmulti-spectralfunctionZiYuan-3 stereo imagesspatial noise3D remote sensingtree measurementdiameter at breast height (DBH)DSMmetabolic scale theorymunicipal forestrydigital photogrammetryNorway sprucemissing observationsinterrater agreementmeasurement errorstump heightFractional cover analysisgoogle earth enginehigh-voltage power transmission lineshabitat fragmentationcodispersion coefficientforest firetree heightnu SVRRapidEyeuneven-aged mountainousrandom Hough transformkrigingstreet treesground validationGoogle Street Viewlaserspecies identificationcompositionmaximum forest heightsmountainous areaslandscape fragmentationLandsat 8forest canopy heightallometric scaling and resource limitation modelurban forestrypoint cloudGSVstump diameterstructure3Dcodispersion mapforest ecologypolarimeterycrowdsourced dataLatifi Hoomanauth1290160Valbuena RubenauthBOOK99103677440033213D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function3021368UNINA