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The use of waveform lidar to measure northern temperate mixed conifer and deciduous forest structure in New Hampshire

https://doi.org/10.1016/j.rse.2006.07.001

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

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Estimation of tree heights and stand volume using an airborne lidar system

inferredcites →https://doi.org/10.1016/0378-1127(95)03662-8openalex-snapshot

Sixty years of management and natural disturbance in a New England forested landscape

inferredcites →https://doi.org/10.1016/0584-8539(92)80055-2openalex-snapshot

Statistics in spectroscopy

inferredcites →https://doi.org/10.1016/j.rse.2005.03.005openalex-snapshot

Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems

inferredcites →https://doi.org/10.1016/s0034-4257(00)00210-8openalex-snapshot

Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests

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Light transmittance in forest canopies determined using airborne laser altimetry and in-canopy quantum measurements

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Estimation of tropical forest structural characteristics using large-footprint lidar

inferredcites →https://doi.org/10.1016/s0034-4257(03)00139-1openalex-snapshot

Characterizing vertical forest structure using small-footprint airborne LiDAR

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Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USA

inferredcites →https://doi.org/10.1016/s0034-4257(98)00091-1openalex-snapshot

Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon

inferredcites →https://doi.org/10.1016/s0034-4257(99)00052-8openalex-snapshot

Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests

inferredcites →https://doi.org/10.1016/s0264-3707(02)00046-7openalex-snapshot

Validation of Vegetation Canopy Lidar sub-canopy topography measurements for a dense tropical forest

inferredcites →https://doi.org/10.1016/s0378-1127(97)00011-xopenalex-snapshot

Long-term species and structural changes after cleaning young even-aged northern hardwoods in New Hampshire, USA

inferredcites →https://doi.org/10.1016/s0378-1127(99)00279-0openalex-snapshot

Multifractal analysis of canopy height measures in a longleaf pine savanna

inferredcites →https://doi.org/10.1016/s0924-2716(99)00002-7openalex-snapshot

The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography

inferredcites →https://doi.org/10.1029/1999gl010484openalex-snapshot

Modeling laser altimeter return waveforms over complex vegetation using high‐resolution elevation data

inferredcites →https://doi.org/10.1046/j.1466-822x.2002.00303.xopenalex-snapshot

Lidar remote sensing of above‐ground biomass in three biomes

inferredcites →https://doi.org/10.1080/00401706.1992.10484974openalex-snapshot

Statistics in Spectroscopy

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Volumetric lidar return patterns from an old-growth tropical rainforest canopy

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Forest Canopy Stratification—Is It Useful?

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An Analysis of Variance Test for Normality (Complete Samples)

inferredcites →https://doi.org/10.1093/forestscience/42.2.160openalex-snapshot

Long-Term Structural Change in Uneven-Aged Northern Hardwoods

inferredcites →https://doi.org/10.1093/forestscience/50.4.551openalex-snapshot

Fusion of Small-Footprint Lidar and Multispectral Data to Estimate Plot- Level Volume and Biomass in Deciduous and Pine Forests in Virginia, USA

inferredcites →https://doi.org/10.1093/njaf/16.3.151openalex-snapshot

Species Composition and Structure of a Northern Hardwood Stand After 61 Years of Group/Patch Selection

inferredcites →https://doi.org/10.1093/njaf/19.1.25openalex-snapshot

Field Note—Changes in Species, Grade, and Structure Over 48 Years in a Managed New England Northern Hardwood Stand

inferredcites →https://doi.org/10.1093/wjaf/15.3.137openalex-snapshot

Technical Note: Why Quadratic Mean Diameter?

inferredcites →https://doi.org/10.1097/00010694-196003000-00012openalex-snapshot

The Vegetation of Wisconsin

inferredcites →https://doi.org/10.1109/36.851780openalex-snapshot

Decomposition of laser altimeter waveforms

inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

inferredcites →https://doi.org/10.1139/x03-008openalex-snapshot

Indirect effects of beech bark disease on sugar maple seedling survival

inferredcites →https://doi.org/10.1139/x03-022openalex-snapshot

Does cross validation provide additional information in the evaluation of regression models?

inferredcites →https://doi.org/10.1201/9781482283129openalex-snapshot

Spatial Information for Land Use Management

inferredcites →https://doi.org/10.1201/9781482283129-16openalex-snapshot

Land Surface Characterization Using Lidar Remote Sensing

inferredcites →https://doi.org/10.1515/9781400873364-029openalex-snapshot

Doctoral Dissertation

inferredcites →https://doi.org/10.1641/0006-3568(2002)052[0019:lrsfes]2.0.co;2openalex-snapshot

Lidar Remote Sensing for Ecosystem Studies

inferredcites →https://doi.org/10.1890/1051-0761(2002)012[1286:deoafp]2.0.co;2openalex-snapshot

DIRECT ESTIMATION OF ABOVEGROUND FOREST PRODUCTIVITY THROUGH HYPERSPECTRAL REMOTE SENSING OF CANOPY NITROGEN

inferredcites →https://doi.org/10.2307/1942313openalex-snapshot

The Hubbard Brook Ecosystem Study: Forest Biomass and Production

inferredcites →https://doi.org/10.2737/ne-gtr-69openalex-snapshot

Biomass equations for major tree species of the Northeast

inferredcites →https://doi.org/10.2737/ne-rp-496openalex-snapshot

Habitat mapping and interpretation in New England

inferredcites →https://doi.org/10.5589/m03-025openalex-snapshot

Lidar remote sensing of biophysical properties of tolerant northern hardwood forests

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An Alternative Approach to Using LiDAR Remote Sensing Data to Predict Stem Diameter Distributions across a Temperate Forest Landscape

inferred← citeshttps://doi.org/10.33904/ejfe.1174123openalex-snapshot

Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data

inferred← citeshttps://doi.org/10.3832/ifor0562-004openalex-snapshot

Analysis of full-waveform LiDAR data for forestry applications: a review of investigations and methods

inferred← citeshttps://doi.org/10.5194/isprsarchives-xl-1-141-2014openalex-snapshot

Prospects of photon counting lidar for savanna ecosystem structural studies

inferred← citeshttps://doi.org/10.5424/fs/2010191-01164openalex-snapshot

High spatial resolution images for the analysis of the spatial structure of Pinus pinaster Aiton stands in Madrid (Spain)

inferred← citeshttps://doi.org/10.5589/cjrs34_suppl2fiopenalex-snapshot

Full Issue in PDF / Numéro complet enform PDF

inferred← citeshttps://doi.org/10.5589/m08-036openalex-snapshot

Using lidar data and a height-structured ecosystem model to estimate forest carbon stocks and fluxes over mountainous terrain

inferred← citeshttps://doi.org/10.5589/m08-057openalex-snapshot

Remote sensing of boreal forest biophysical and inventory parameters: a review

inferred← citeshttps://doi.org/10.5589/m13-034openalex-snapshot

Study of bat flight behavior by combining thermal image analysis with a LiDAR forest reconstruction

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