S4.11-00 Statistical methods, mathematics and computers

Environmental statistics

Thu, 10 Aug 14:00-16:00, Room: P1

Papers:

Identifying possible and establishing actual cause-effect starting with large scale survey data - H. T. Schreuder, USA
Soft and hard data in geostatistics - D. Mandallaz, Switzerland
Increasing CO2 and tree growth: Drawing conclusions from observational data - G. A. Reams, USA
Development of an integrated moisture index for predicting species composition - L. Iverson, C. Scott, M. Dale and A. Prasad, USA
Applications of combining AVHRR and Landsat data for forest cover assessments - D. L. Evans, D. M. Jacobs, K. B. Lannom and B. Cooke, USA
Determination of the level of field sampling effort needed in accuracy assessment of detailed forest vegetation maps - G. Biging
Two-phased sampling method, using regression estimators and small-scale aerial IR-photographs in volume and increment estimation - A. Akca, Germany
Calibrating AVHRR tropical forest area estimates with TM sample images - An example from the TREES project - B. Traub, C. Kleinn, M. Dees and D. R. Pelz, Germany
Calculation and comparison of different permanent sample plot types - S. Poso and M-L. Waite, Finland
Combining coarse and high resolution satellite images for calibration - A model study - C. Kleinn, B. Traub, M. Dees and D. Pelz, Germany
Statistical methods for accuracy assessment of remote sensing interpretation - Speaker to be announced