Use R! for estimating forest parameters based on Airborne Laser - PowerPoint PPT Presentation

Introduction Methods and Results Ongoing research and summary Use R! for estimating forest parameters based on Airborne Laser Scanner Data Johannes Breidenbach Forest Research Institute Baden-Württemberg, Department of Biometrics Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg Abteilung Biometrie und Informatik; Wonnhaldestr. 4; 79100 Freiburg Fon: +49 (0)761-4018-315; Johannes.Breidenbach@forst.bwl.de Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Methods and Results Ongoing research and summary Inhalt Introduction 1 Background Airborne Laser Scanning Analyzing laser data Methods and Results 2 A mixed model (lme) for timber volume estimation A GAMLSS for diameter distribution estimation Ongoing research and summary 3 Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Introduction 1 Background Airborne Laser Scanning Analyzing laser data Methods and Results 2 A mixed model (lme) for timber volume estimation A GAMLSS for diameter distribution estimation Ongoing research and summary 3 Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Sample Plot Inventory Forest inventory → statistical sound information on the enterprize-level (Stands are too small) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Forest Inventory Forest inventory → statistical sound information on the enterprize-level (Stands are too small) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Motivation High costs Insufficient information on stand level Staff reduction Increased economical interest in timber products ⇒ Greater information-need on the stand level Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Motivation High costs Insufficient information on stand level Staff reduction Increased economical interest in timber products ⇒ Greater information-need on the stand level Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Motivation High costs Insufficient information on stand level Staff reduction Increased economical interest in timber products ⇒ Greater information-need on the stand level Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Motivation High costs Insufficient information on stand level Staff reduction Increased economical interest in timber products ⇒ Greater information-need on the stand level Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Motivation High costs Insufficient information on stand level Staff reduction Increased economical interest in timber products ⇒ Greater information-need on the stand level Use R! for estimating forest parameters based on ALS J. Breidenbach

Aim ⇒ Regionalization (small area estimation): From a point-wise to a wall-to-wall information 5328000 Hochwert [m] 5327500 Vorrat [Vfm ha − 1 ] 5327000 0 454 966 FoGIS Bestandesgrenzen 3422500 3423000 3423500 Rechtswert [m]

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Introduction 1 Background Airborne Laser Scanning Analyzing laser data Methods and Results 2 A mixed model (lme) for timber volume estimation A GAMLSS for diameter distribution estimation Ongoing research and summary 3 Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Airborne Laser Scanning Active remote sensing system Laser for distance measurement Pointcloud with XYZ-raw data http://www.geokosmos.com/technologies/airbornscan.jpg Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Airborne Laser Scanning Active remote sensing system Laser for distance measurement Pointcloud with XYZ-raw data http://www.geokosmos.com/technologies/airbornscan.jpg Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Airborne Laser Scanning Active remote sensing system Laser for distance measurement Pointcloud with XYZ-raw data http://www.geokosmos.com/technologies/airbornscan.jpg Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Digital Terrain Model Software: TreesVis, FELIS Uni Freiburg Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Digital Surface Model Software: TreesVis, FELIS Uni Freiburg Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Introduction 1 Background Airborne Laser Scanning Analyzing laser data Methods and Results 2 A mixed model (lme) for timber volume estimation A GAMLSS for diameter distribution estimation Ongoing research and summary 3 Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Area-based method Aggregation of laser data on sample plot level → metrics Statical relation between Metrics Sample plot attributes (volume, diameter distribution, tree height) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Area-based method Aggregation of laser data on sample plot level → metrics Statical relation between Metrics Sample plot attributes (volume, diameter distribution, tree height) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Area-based method Aggregation of laser data on sample plot level → metrics Statical relation between Metrics Sample plot attributes (volume, diameter distribution, tree height) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Area-based method Aggregation of laser data on sample plot level → metrics Statical relation between Metrics Sample plot attributes (volume, diameter distribution, tree height) Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Computation of metrics Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Computation of metrics - basic R 50 40 30 Häufigkeit 20 10 0 10 15 20 25 30 Vegetationshöhe [m] Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Computation of metrics - basic R 50 0% Perzentil 40 25% Perzentil 30 50% Perzentil Häufigkeit 20 75% Perzentil 10 100% Perzentil 0 10 15 20 25 30 Vegetationshöhe [m] Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Computation of metrics - basic R 50 0% Perzentil 40 25% Perzentil 30 50% Perzentil Häufigkeit 20 75% Perzentil 10 100% Perzentil Mittelwert 0 10 15 20 25 30 Vegetationshöhe [m] Use R! for estimating forest parameters based on ALS J. Breidenbach

Introduction Background Methods and Results Airborne Laser Scanning Ongoing research and summary Analyzing laser data Other predictor variables - ArcGIS Crown cover Coniferous proportion Use R! for estimating forest parameters based on ALS J. Breidenbach