Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA

Keyphrases

• Lidar Remote Sensing 100%
• Sierra National Forest 100%
• Leaf Area Index 100%
• Multiple Spatial Scales 100%
• Geoscience Laser Altimeter System 33%
• Imaging Sensor 28%
• Total Leaf Area 14%
• Ground Measurements 9%
• Spaceborne 9%
• Sensor Data 9%
• Successful Implementation 4%
• In Situ Measurements 4%
• Vertical Profile 4%
• Moderate Resolution Imaging Spectroradiometer (MODIS) 4%
• Earth System 4%
• LiDAR 4%
• Airborne LiDAR 4%
• Index Distribution 4%
• Correlation Comparison 4%
• Passive Remote Sensing 4%
• Hemispherical Photographs 4%
• Hemispherical Photography 4%
• Remote Sensing Dataset 4%
• Data Comparison 4%
• Sierra Nevada 4%
• Leaf Area Index Estimation 4%
• Index Validation 4%
• Aircraft Observations 4%
• Spatial Coverage 4%
• Process Systems 4%
• Climate Models 4%
• Index Profile 4%
• Index Correlation 4%
• Remote Sensing Methods 4%
• Specific Level 4%
• Continuous-wave Laser 4%
• Ground-based Lidar 4%
• Ground Validation 4%
• Terrestrial LiDAR 4%
• Spatially Continuous 4%
• Index Sensor 4%
• Ecosystem Model 4%
• Index Assessment 4%
• Destructive Sampling 4%
• Atmosphere-biosphere Interactions 4%
• Land Surface Processes 4%
• Recursive Algorithm 4%
• Spaceborne Lidar 4%
• Product Comparison 4%
• Waveform Lidar 4%
• Index Estimates 4%
• Scale-up Strategies 4%

Earth and Planetary Sciences

• Leaf Area 100%
• Lidar Remote Sensing 100%
• GLAS 31%
• Vegetation 27%
• Optical Radar 27%
• In Situ Measurement 4%
• Vertical Profile 4%
• Land Surface 4%
• Airborne Sensor 4%
• Observation Aircraft 4%
• Ground-Based Measurement 4%
• California 4%
• Remote Sensing Method 4%
• Earth-Surface Processes 4%
• Atmosphere-Biosphere Interaction 4%
• MODIS 4%
• Climate Modeling 4%
• Passive Remote Sensing 4%
• Nevada 4%