标题
Advances and emerging issues in national forest inventories
作者
关键词
-
出版物
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
Volume 25, Issue 4, Pages 368-381
出版商
Informa UK Limited
发表日期
2010-07-29
DOI
10.1080/02827581.2010.496739
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now