Data Assimilation in Forest Inventory: First Empirical Results

Using semi-global matching point clouds to estimate growing stock at the plot and stand levels: application for a broadleaf-dominated forest in central Europe

(2015) Christoph Stepper et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Estimation of Forest Height and Canopy Density From a Single InSAR Correlation Coefficient

(2015) Maciej Jerzy Soja et al.   IEEE Geoscience and Remote Sensing Letters

A Comparison of Point Clouds Derived from Stereo Imagery and Airborne Laser Scanning for the Area-Based Estimation of Forest Inventory Attributes in Boreal Ontario

(2014) Doug G. Pitt et al.   CANADIAN JOURNAL OF REMOTE SENSING

TanDEM-X Pol-InSAR Performance for Forest Height Estimation

(2014) Florian Kugler et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Comparing biophysical forest characteristics estimated from photogrammetric matching of aerial images and airborne laser scanning data

(2014) Terje Gobakken et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Data assimilation in stand-level forest inventories

(2013) Sarah Ehlers et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Point Clouds

(2013) F. Leberl et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM

(2012) Jonas Bohlin et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Prediction of plot-level forest variables using TerraSAR-X stereo SAR data

(2011) Mika Karjalainen et al.   REMOTE SENSING OF ENVIRONMENT

Stereo Processing by Semiglobal Matching and Mutual Information

(2007) H. Hirschmuller   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Preface: Remote sensing data assimilation special issue

(2007) A LOEW   REMOTE SENSING OF ENVIRONMENT

Assimilating canopy reflectance data into an ecosystem model with an Ensemble Kalman Filter

(2007) T QUAIFE et al.   REMOTE SENSING OF ENVIRONMENT