Related references
Note: Only part of the references are listed.Mapping attributes of Canada's forests at moderate resolution through kNN and MODIS imagery
A. Beaudoin et al.
CANADIAN JOURNAL OF FOREST RESEARCH (2014)
Geographical variation in age-height relationships for dominant trees in Japanese cedar (Cryptomeria japonica D. Don) forests in Japan
Tomohiro Nishizono et al.
JOURNAL OF FOREST RESEARCH (2014)
Estimating forest attribute parameters for small areas using nearest neighbors techniques
Ronald E. McRoberts
FOREST ECOLOGY AND MANAGEMENT (2012)
Variation in tree diameter growth in response to the weather conditions and tree size in deciduous broad-leaved trees
Eri Nabeshima et al.
FOREST ECOLOGY AND MANAGEMENT (2010)
Evaluation of data quality in Japanese National Forest Inventory
Fumiaki Kitahara et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2009)
A comparative analysis of kNN and decision tree methods for the Irish National Forest Inventory
Daniel O. McInerney et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)
Diagnostic tools for nearest neighbors techniques when used with satellite imagery
Ronald E. McRoberts
REMOTE SENSING OF ENVIRONMENT (2009)
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
Gyanesh Chander et al.
REMOTE SENSING OF ENVIRONMENT (2009)
Estimation of stand volumes using the k-nearest neighbors method in Kyushu, Japan
Tsuyoshi Kajisa et al.
JOURNAL OF FOREST RESEARCH (2008)
Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems
Gherardo Chirici et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Combining national forest inventory field plots and remote sensing data for forest databases
Erkki Tomppo et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Accuracy of forest mapping based on Landsat TM data and a kNN-based method
Amt Kristian Gjertsen
REMOTE SENSING OF ENVIRONMENT (2007)
A method for calibrated maximum likelihood classification of forest types
Olle Hagner et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Remote sensing support for national forest inventories
Ronald E. McRoberts et al.
REMOTE SENSING OF ENVIRONMENT (2007)
The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs
Petteri Packalen et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Predicting the site index of sugi plantations from GIS-derived environmental factors in Miyazaki Prefecture
Yasushi Mitsuda et al.
JOURNAL OF FOREST RESEARCH (2007)
A simple solar radiation index for wildlife habitat studies
Kim A. Keating et al.
JOURNAL OF WILDLIFE MANAGEMENT (2007)
Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data
Gu Huiyan et al.
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES (2006)
Estimation of forest stand volumes by Landsat TM imagery and stand-level field-inventory data
H Mäkelä et al.
FOREST ECOLOGY AND MANAGEMENT (2004)
Using coarse scale forest variables as ancillary information and weighting of variables in k-N-N estimation: a genetic algorithm approach
E Tomppo et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Applications using estimates of forest parameters derived from satellite and forest inventory data
H Reese et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2002)
Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique
RE McRoberts et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass
E Tomppo et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery
H Mäkelä et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Selecting estimation parameters for the Finnish multisource National Forest Inventory
M Katila et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Multi-source inventory of the forests of the Hebei Forestry Bureau, Heilongjiang, China.
E Tomppo et al.
SILVA FENNICA (2001)
Share Paper
