Christoph Kleinn is head of the Chair of Forest Inventory and Remote Sensing of the Burckhardt Institute at the Faculty of Forest Sciences and Forest Ecology. His main interests are in the fields of (i) sampling techniques and remote sensing for forest monitoring, (ii) monitoring techniques for the tree resource outside the forest and non-timber forest products, and (iii) carbon monitoring and (iv) biodiversity monitoring and habitat suitability analysis.
• Sampling statistics
• Remote sensing for forestry applications
• Large area monitoring of forest and tree resources
Kleinn C, Kändler G and Schnell S. 2011 . Estimating forest edge length from forest inventory sample data. Canadian Journal of Forest Research.
Lam TY, Kleinn C and Coenradie B (2010) Double sampling for stratification for the monitoring of sparse tree populations: the example of Populus euphratica Oliv. forests at the lower reaches of Tarim River, Southern Xinjiang, China. Environ. Monit. Assess., doi: 10.1007/s10661-010-1492-6.
Fuchs H, Magdon P, Kleinn C and Flessa H (2009) Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory data with multiple linear regression and k-NN imputation. Remote Sensing of Environment, 113: 518-531.
Lam TY, Kleinn C (2008) Estimation of tree species richness from large area forest inventory data: Evaluation and comparison of jackknife estimators. Forest Ecol. Manage. 255: 1002-1010.
Kleinn C and F Vilcko. 2006. Design unbiased estimation for point to tree distance sampling. Canadian Journal of Forest Research: 36(6):1407-1414.
Please visit http://www.iww.forst.uni-goettingen.de/ckleinn/ckleinn.htm for more information and for a list of publications.
Chistoph Kleinn teaches the following course:
• Resource assessment in ecosystems