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Showing 1 to 8 of 8 for “"Forest Measurements"”.

  1. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry

    Forest measurements are inherently spatial. Soil productivity varies spatially at fine scales and tree growth responds by changes in growth-age trajectories. Measuring spatial variability is a perquisite to more effective analysis and statistical testing. In this study, current techniques of …

    vt Repository record for Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry (opens in a new tab)

  2. Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States

    Remote sensing offers many advantages to previous forest measurements, such as limiting costs and time in the field. Light detection and ranging (lidar) has been shown to enable accurate estimates of forest height. Lidar does produce precise measurements for ground elevation and forest height, …

    vt Repository record for Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States (opens in a new tab)

  3. Forest Isoprene Emissions: New Insights from a Novel Field Instrument

    … cycle and the carbon budget of the biosphere. Measurements have highlighted the great spatial and temporal variation of isoprene concentrations within forests and across different forest types, presenting a challenge for understanding overall emissions. Current understanding of isoprene is …

    cambridge Repository record for Forest Isoprene Emissions: New Insights from a Novel Field Instrument (opens in a new tab)

  4. Remote detection of forest structure in the White Mountains of New Hampshire: An integration of waveform lidar and hyperspectral remote sensing data

    … aspects of the structure of a northern temperate forest is explored. Waveform lidar imagery was acquired in 1999 and 2003 over Bartlett Experimental Forest in the White Mountains of central New Hampshire using NASA's airborne Laser Vegetation Imaging Sensor (LVIS). High-resolution spectral imagery …

    unh-thes Repository record for Remote detection of forest structure in the White Mountains of New Hampshire: An integration of waveform lidar and hyperspectral remote sensing data (opens in a new tab)

  5. Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data

    … beauty. Terrestrial digital images from within forest stands located in Prince Edward Gallion State Forest near Farmville, Virginia were rated for their scenic beauty by a group of students to obtain scenic beauty estimates (SBEs). Since the inter-rater reliability was low for the SBEs, they …

    vt Repository record for Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data (opens in a new tab)

  6. Increasing forest cover amidst expanding commercial agriculture: An agent-based simulation of markets and rural livelihoods in the Indian Himalayas

    … studies that link commercial agriculture with deforestation, analysis of household survey data and forest measurements in a group of 17 neighboring villages in the Indian Himalayas revealed a positive correlation between the level of commercial agriculture and forest cover. Commercial agriculture …

    uiuc Repository record for Increasing forest cover amidst expanding commercial agriculture: An agent-based simulation of markets and rural livelihoods in the Indian Himalayas (opens in a new tab)

  7. Tree-Level Forest Monitoring with Artificial Intelligence Using Neural Networks and High-Resolution Imagery

    … on the earth's changing climate. We can use tree measurements to quantify the biomass and stored carbon in a forest, we can use those measurements to inform plantation management on harvest cycles, we can even use tree measurements to predict climate change. However, for these to occur there needs …

    vt Repository record for Tree-Level Forest Monitoring with Artificial Intelligence Using Neural Networks and High-Resolution Imagery (opens in a new tab)

  8. Analysis of the spatial heterogeneity of land surface parameters and energy flux densities

    … spatial and temporal resolutions and in-situ measurements. The investigations were carried out for two target areas in Germany. First, satellite data for the years 2002 and 2003 were analysed and validated from the LITFASS-area (Lindenberg Inhomogeneous Terrain - Fluxes between Atmosphere and …

    qucosa-diss