Advances and emerging issues in national forest inventories

Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data

(2010) Ronald E. McRoberts   REMOTE SENSING OF ENVIRONMENT

Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data

(2010) Johannes Breidenbach et al.   REMOTE SENSING OF ENVIRONMENT

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

(2010) Ronald E. McRoberts et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

A model-assisted k-nearest neighbour approach to remove extrapolation bias

(2010) Steen Magnussen et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Mapping wildland fuels and forest structure for land management: a comparison of nearest neighbor imputation and other methods

(2009) Kenneth B. Pierce et al.   CANADIAN JOURNAL OF FOREST RESEARCH

A comparative analysis of kNN and decision tree methods for the Irish National Forest Inventory

(2009) Daniel O. McInerney et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Reliability of LiDAR derived predictors of forest inventory attributes: A case study with Norway spruce

(2009) S. Magnussen et al.   REMOTE SENSING OF ENVIRONMENT

The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

(2009) Bianca N. I. Eskelson et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Assessing effects of laser point density, ground sampling intensity, and field sample plot size on biophysical stand properties derived from airborne laser scanner data

(2008) Terje Gobakken et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Estimation of species-specific diameter distributions using airborne laser scanning and aerial photographs

(2008) Petteri Packalén et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images

(2008) J. Holmgren et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of stand volumes using the k-nearest neighbors method in Kyushu, Japan

(2008) Tsuyoshi Kajisa et al.   Journal of Forest Research

How many tree species are there in the Amazon and how many of them will go extinct?

(2008) S. P. Hubbell et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimating stand structural details using nearest neighbor analyses to link ground data, forest cover maps, and Landsat imagery

(2008) Valerie LeMay et al.   REMOTE SENSING OF ENVIRONMENT

Efficient k-nearest neighbor searches for multi-source forest attribute mapping

(2008) Andrew O. Finley et al.   REMOTE SENSING OF ENVIRONMENT

Using k-nn and discriminant analyses to classify rain forest types in a Landsat TM image over northern Costa Rica

(2008) Sirpa Thessler et al.   REMOTE SENSING OF ENVIRONMENT

Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems

(2008) Gherardo Chirici et al.   REMOTE SENSING OF ENVIRONMENT

Corrigendum to “Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data”[Remote Sensing of Environment, 112: 2232–2245]

(2008) Andrew T. Hudak et al.   REMOTE SENSING OF ENVIRONMENT

Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery

(2008) Erkki O. Tomppo et al.   REMOTE SENSING OF ENVIRONMENT

Diagnostic tools for nearest neighbors techniques when used with satellite imagery

(2008) Ronald E. McRoberts   REMOTE SENSING OF ENVIRONMENT

Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys

(2008) Federica Baffetta et al.   REMOTE SENSING OF ENVIRONMENT

Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory

(2008) Hans Fuchs et al.   REMOTE SENSING OF ENVIRONMENT