Search results for "Canopy height"

showing 3 items of 3 documents

Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicti…

2020

Managing forests for ecosystem services and biodiversity requires accurate and spatially explicit forest inventory data. A major objective of forest management inventories is to estimate the standing timber volume for certain forest areas. In order to improve the efficiency of an inventory, field based sample-plots can be statistically combined with remote sensing data. Such models usually incorporate auxiliary variables derived from canopy height models. The inclusion of forest type variables, which quantify broadleaf and conifer volume proportions, has been shown to further improve model performance. Currently, the most common way of quantifying broadleaf and conifer forest types is by ca…

0106 biological sciencesCanopysekametsätMean squared errorForest managementBiodiversityClimate changeairborne laser scanningManagement Monitoring Policy and Law010603 evolutionary biology01 natural sciencesforest type mapStatisticscanopy height modelimage-based point cloudsNature and Landscape ConservationForest inventorymetsäsuunnitteluForestryPercentage pointmetsänarviointipuutavaranmittausOrdinary least squaresordinary least squares regression modelsEnvironmental sciencemixed and heterogeneously structured forestkaukokartoitushigh-precision forest inventorymetsänhoitobest fit modelsmerchantable timber volumelaserkeilaus010606 plant biology & botanyForest Ecology and Management
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Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables

2015

In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne aerial imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft in forest remote sensing applications in small areas, but they lack range and endurance in larger areas. On the other hand, advances in the processing of digital stereo photography make it possible to produce three-dimensional (3D) forest canopy data on the basis of images acquired using simple lightweight digital camera sensors. In this study, an aerial image orthomosaic and 3D photogrammetric canopy height data were derived from the images acquired …

CanopyAerial surveyUAVta1172ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONta1171ComputerApplications_COMPUTERSINOTHERSYSTEMSphotogrammetric surface modelBasal areaAerial photographyaerial imagerylcsh:Forestryforest inventorycanopy height modelRemote sensingta113Forest inventoryEcological ModelingForestryta4112unmanned aerial systemAerial imageryPhotogrammetrylcsh:SD1-669.5Environmental scienceWoody plantSilva fennica
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Seawater carbonate chemistry and fish communities properties off CO2 seeps in Japan

2020

Ocean acidification will likely change the structure and function of coastal marine ecosystems over coming decades. Volcanic carbon dioxide seeps generate dissolved CO2 and pH gradients that provide realistic insights into the direction and magnitude of these changes. Here, we used fish and benthic community surveys to assess the spatio-temporal dynamics of fish community properties off CO2 seeps in Japan. Adding to previous evidence from ocean acidification ecosystem studies conducted elsewhere, our findings documented shifts from calcified to non-calcified habitats with reduced benthic complexity. In addition, we found that such habitat transition led to decreased diversity of associated …

Ocean Acidification International Coordination Centre (OA-ICC)TemperateSalinityCanopy heightCommunity composition and diversityCoverage standard deviationinorganicAlkalinityExperimentTemperature waterCarbon inorganic dissolvedCalculated using seacarb after Nisumaa et al 2010Aragonite saturation stateNorth PacificAlkalinity totaltotalCO2 ventReplicatespHPelagosTemperaturedissolvedCanopy height standard deviationCarbonate ionPartial pressure of carbon dioxide (water) at sea surface temperature (wet air)Fish standard deviationTemperature water standard deviationEarth System Researchstandard deviationField observationgeographic locationsPotentiometric titrationCoverageCalcite saturation stateLocationPotentiometricwaterPartial pressure of carbon dioxideSiteRocky-shore communityBenthosSpecies richness standard deviationSalinity standard deviationOcean Acidification International Coordination Centre OA ICCBiotic Habitat Profile ratioTypeBicarbonate ionCalculated using seacarb after Nisumaa et al. (2010)Calculated using CO2SYSfungiPartial pressure of carbon dioxide standard deviationCarbonate system computation flagpH standard deviationFugacity of carbon dioxide (water) at sea surface temperature (wet air)CarbonPartial pressure of carbon dioxide water at sea surface temperature wet airFishTransectCarbon dioxideRocky shore communityEntire communityBiotic Habitat Profile ratio standard deviationFugacity of carbon dioxide water at sea surface temperature wet airSeasonCoast and continental shelfSpecies richness
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