neoneducation: Lidar Intentiy Values
neoneducation: siteDesign
neoneducation: Synthesis
neoneducation: spectroscopy2
neoneducation: spectroscopy1
neoneducation: plantsUseEnergy
neoneducation: photoTitlePlants
neoneducation: IRGASetup
neoneducation: IRGAFlow
neoneducation: IRGAField1
neoneducation: IRGA2
neoneducation: IRGA1
neoneducation: freeData
neoneducation: fieldMeasurement1
neoneducation: carbonGlobe
neoneducation: carbon
neoneducation: Lidar point clouds can be used to characterize vegetation structure and ground elevation.
neoneducation: LiDAR data are often used to measure tree height.
neoneducation: A high resolution hill shade created using lidar data.
neoneducation: NEON (national ecological observatory network) core sites are located across the United States.
neoneducation: NEON will capture lidar data at its sites annually, allowing for change detection.
neoneducation: LiDAR derived elevation data are high resolution.
neoneducation: LiDAR data are commonly used to estimate vegetation height.
neoneducation: High resolution lidar data can be used to derived high resolution topography (elevation data).
neoneducation: Lidar data can be used to characterize forest structure.
neoneducation: Lidar data, when flown repeatedly, can be used to track change over time.
neoneducation: NEON core sites across the United states
neoneducation: Lidar data can be used to characterize forest structure.
neoneducation: LiDAR data can be used to measure vegetation density.
neoneducation: A key component of a lidar system is a GPS.