A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments.
- Published in:
- Journal of Forestry, 2015, v. 113, n. 4, p. 414, doi. 10.5849/jof.14-091
- By:
- Publication type:
- Article
Works by Temesgen, Hailemariam
Results: 49
1
2
Teaching in Contemporary Forest Resources Curricula: Applications to Courses in Forest Measurements and Biometrics.
- Published in:
- Journal of Forestry, 2011, v. 109, n. 7, p. 371, doi. 10.1093/jof/109.7.371
- By:
- Publication type:
- Article
3
Modeling Above-Ground Carbon Dynamics under Different Silvicultural Treatments on the McDonald–Dunn Research Forest.
- Published in:
- Forests (19994907), 2023, v. 14, n. 10, p. 2090, doi. 10.3390/f14102090
- By:
- Publication type:
- Article
4
Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests.
- Published in:
- Forests (19994907), 2019, v. 10, n. 4, p. 316, doi. 10.3390/f10040316
- By:
- Publication type:
- Article
5
Predicting Volume and Biomass Change from Multi-Temporal Lidar Sampling and Remeasured Field Inventory Data in Panther Creek Watershed, Oregon, USA.
- Published in:
- Forests (19994907), 2018, v. 9, n. 1, p. 28, doi. 10.3390/f9010028
- By:
- Publication type:
- Article
6
An Examination of Diameter Density Prediction with k-NN and Airborne Lidar.
- Published in:
- Forests (19994907), 2017, v. 8, n. 11, p. 444, doi. 10.3390/f8110444
- By:
- Publication type:
- Article
7
Allometric Equations for Estimating Tree Aboveground Biomass in Tropical Dipterocarp Forests of Vietnam.
- Published in:
- Forests (19994907), 2016, v. 7, n. 8, p. 180, doi. 10.3390/f7080180
- By:
- Publication type:
- Article
8
Developing Biomass Equations for Western Hemlock and Red Alder Trees in Western Oregon Forests.
- Published in:
- Forests (19994907), 2016, v. 7, n. 4, p. 88, doi. 10.3390/f7040088
- By:
- Publication type:
- Article
9
Small-Area Estimation of County-Level Forest Attributes Using Ground Data and Remote Sensed Auxiliary Information.
- Published in:
- Forest Science, 2013, v. 59, n. 5, p. 536, doi. 10.5849/forsci.12-073
- By:
- Publication type:
- Article
10
Estimating Riparian Understory Vegetation Cover with Beta Regression and Copula Models.
- Published in:
- Forest Science, 2011, v. 57, n. 3, p. 212, doi. 10.1093/forestscience/57.3.212
- By:
- Publication type:
- Article
11
Sampling Strategies for Efficient Estimation of Tree Foliage Biomass.
- Published in:
- Forest Science, 2011, v. 57, n. 2, p. 153, doi. 10.1093/forestscience/57.2.153
- By:
- Publication type:
- Article
12
Evaluation of sampling methods to quantify abundance of hardwoods and snags within conifer-dominated riparian zones.
- Published in:
- Annals of Forest Science (BioMed Central), 2012, v. 69, n. 7, p. 821, doi. 10.1007/s13595-012-0204-5
- By:
- Publication type:
- Article
13
Sources of within- and between-stand variability in specific leaf area of three ecologically distinct conifer species.
- Published in:
- Annals of Forest Science (BioMed Central), 2008, v. 65, n. 1, p. 103, doi. 10.1051/forest:2007075
- By:
- Publication type:
- Article
14
Evaluation of the spatial linear model, random forest and gradient nearest-neighbour methods for imputing potential productivity and biomass of the Pacific Northwest forests.
- Published in:
- Forestry: An International Journal of Forest Research, 2015, v. 88, n. 1, p. 131, doi. 10.1093/forestry/cpu036
- By:
- Publication type:
- Article
15
Comparison of stratified and non-stratified most similar neighbour imputation for estimating stand tables.
- Published in:
- Forestry: An International Journal of Forest Research, 2008, v. 81, n. 2, p. 125, doi. 10.1093/forestry/cpn003
- By:
- Publication type:
- Article
16
Effectiveness of clearcut edge windfirming treatments in coastal British Columbia: short‐term results.
- Published in:
- Forestry: An International Journal of Forest Research, 2003, v. 76, n. 1, p. 55, doi. 10.1093/forestry/76.1.55
- By:
- Publication type:
- Article
17
Analysis of Classification Methods for Identifying Stands for Commercial Thinning Using LiDAR.
- Published in:
- Canadian Journal of Remote Sensing, 2019, v. 45, n. 5, p. 673, doi. 10.1080/07038992.2019.1670051
- By:
- Publication type:
- Article
18
Comparing Modeling Methods for Predicting Forest Attributes Using LiDAR Metrics and Ground Measurements.
- Published in:
- Canadian Journal of Remote Sensing, 2016, v. 42, n. 6, p. 739, doi. 10.1080/07038992.2016.1252908
- By:
- Publication type:
- Article
19
Analysis of area level and unit level models for small area estimation in forest inventories assisted with LiDAR auxiliary information.
- Published in:
- PLoS ONE, 2017, v. 12, n. 12, p. 1, doi. 10.1371/journal.pone.0189401
- By:
- Publication type:
- Article
20
Assessment of herbaceous vegetation classification using orthophotos produced from the image acquired with unmanned aerial systems.
- Published in:
- Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2023, v. 51, n. 3, p. 1, doi. 10.15835/nbha51313227
- By:
- Publication type:
- Article
21
Estimating upper stem diameters and volume of Douglas-fir and Western hemlock trees in the Pacific northwest.
- Published in:
- Forest Ecosystems (Springer Nature), 2018, v. 5, n. 1, p. 1, doi. 10.1186/s40663-018-0134-2
- By:
- Publication type:
- Article
22
Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables.
- Published in:
- Canadian Journal of Remote Sensing, 2012, v. 38, n. 5, p. 664, doi. 10.5589/m12-052
- By:
- Publication type:
- Article
23
Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory.
- Published in:
- Canadian Journal of Remote Sensing, 2012, v. 38, n. 5, p. 557
- By:
- Publication type:
- Article
24
Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska.
- Published in:
- Canadian Journal of Remote Sensing, 2011, v. 37, n. 6, p. 596, doi. 10.5589/m12-003
- By:
- Publication type:
- Article
25
DREAM-Yara: an exact read mapper for very large databases with short update time.
- Published in:
- Bioinformatics, 2018, v. 34, n. 17, p. i766, doi. 10.1093/bioinformatics/bty567
- By:
- Publication type:
- Article
26
A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models.
- Published in:
- Scandinavian Journal of Forest Research, 2015, v. 30, n. 4, p. 326, doi. 10.1080/02827581.2015.1012114
- By:
- Publication type:
- Article
27
The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases.
- Published in:
- Scandinavian Journal of Forest Research, 2009, v. 24, n. 3, p. 235, doi. 10.1080/02827580902870490
- By:
- Publication type:
- Article
28
Estimating Stand Tables from Aerial Attributes: a Comparison of Parametric Prediction and Most Similar Neighbour Methods.
- Published in:
- Scandinavian Journal of Forest Research, 2003, v. 18, n. 3, p. 279, doi. 10.1080/02827581.2003.9728298
- By:
- Publication type:
- Article
29
Developing Gut Microbiota Exerts Colonisation Resistance to Clostridium (syn. Clostridioides) difficile in Piglets.
- Published in:
- Microorganisms, 2019, v. 7, n. 8, p. 218, doi. 10.3390/microorganisms7080218
- By:
- Publication type:
- Article
30
GROWTH RESPONSE OF COASTAL DOUGLAS-FIR (PSEUDOTSUGA MENZIESII [MIRBEL] FRANCO) IN WESTERN OREGON FOLLOWING MECHANICAL COMMERCIAL THINNING DAMAGE.
- Published in:
- Mathematical & Computational Forestry & Natural Resource Sciences, 2017, v. 9, n. 1, p. 22
- By:
- Publication type:
- Article
31
A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications.
- Published in:
- PLoS ONE, 2013, v. 8, n. 3, p. 1, doi. 10.1371/journal.pone.0059129
- By:
- Publication type:
- Article
32
Prediction of Forest Attributes with Field Plots, Landsat, and a Sample of Lidar Strips: A Case Study on the Kenai Peninsula, Alaska.
- Published in:
- 2014
- By:
- Publication type:
- Case Study
33
Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change.
- Published in:
- Ecosphere, 2023, v. 14, n. 3, p. 1, doi. 10.1002/ecs2.4449
- By:
- Publication type:
- Article
34
Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA.
- Published in:
- Remote Sensing, 2022, v. 14, n. 23, p. 6024, doi. 10.3390/rs14236024
- By:
- Publication type:
- Article
35
Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon.
- Published in:
- Remote Sensing, 2021, v. 13, n. 2, p. 261, doi. 10.3390/rs13020261
- By:
- Publication type:
- Article
36
Model-Based Estimation of Forest Inventory Attributes Using Lidar: A Comparison of the Area-Based and Semi-Individual Tree Crown Approaches.
- Published in:
- Remote Sensing, 2020, v. 12, n. 16, p. 2525, doi. 10.3390/rs12162525
- By:
- Publication type:
- Article
37
Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR.
- Published in:
- Remote Sensing, 2019, v. 11, n. 8, p. 923, doi. 10.3390/rs11080923
- By:
- Publication type:
- Article
38
Evaluation of n-Tree Distance Sampling for Inventory of Headwater Riparian Forests of Western Oregon.
- Published in:
- Western Journal of Applied Forestry, 2012, v. 27, n. 3, p. 109, doi. 10.5849/wjaf.10-035
- By:
- Publication type:
- Article
39
Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska.
- Published in:
- Western Journal of Applied Forestry, 2011, v. 26, n. 4, p. 157, doi. 10.1093/wjaf/26.4.157
- By:
- Publication type:
- Article
40
Relating Forest Attributes with Area- and Tree-Based Light Detection and Ranging Metrics for Western Oregon.
- Published in:
- Western Journal of Applied Forestry, 2010, v. 25, n. 3, p. 105, doi. 10.1093/wjaf/25.3.105
- By:
- Publication type:
- Article
41
Prediction of diameter distributions and tree-lists in southwestern Oregon using LiDAR and stand-level auxiliary information.
- Published in:
- Canadian Journal of Forest Research, 2019, v. 49, n. 7, p. 775, doi. 10.1139/cjfr-2018-0332
- By:
- Publication type:
- Article
42
Estimating individual-tree aboveground biomass of tree species in the western U.S.A.
- Published in:
- Canadian Journal of Forest Research, 2019, v. 49, n. 6, p. 701, doi. 10.1139/cjfr-2018-0361
- By:
- Publication type:
- Article
43
Comparison of sampling methods for estimation of nearest-neighbor index values.
- Published in:
- Canadian Journal of Forest Research, 2017, v. 47, n. 6, p. 703, doi. 10.1139/cjfr-2016-0239
- By:
- Publication type:
- Article
44
Examination of uncertainty in per unit area estimates of aboveground biomass using terrestrial LiDAR and ground data.
- Published in:
- Canadian Journal of Forest Research, 2016, v. 46, n. 5, p. 706, doi. 10.1139/cjfr-2015-0265
- By:
- Publication type:
- Article
45
Host-parasite distributions under changing climate: and in Alaska.
- Published in:
- Canadian Journal of Forest Research, 2012, v. 42, n. 4, p. 642, doi. 10.1139/x2012-016
- By:
- Publication type:
- Article
46
A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables.
- Published in:
- Canadian Journal of Forest Research, 2011, v. 41, n. 6, p. 1189, doi. 10.1139/x11-033
- By:
- Publication type:
- Article
47
Geostatistical modeling of riparian forest microclimate and its implications for sampling.
- Published in:
- Canadian Journal of Forest Research, 2011, v. 41, n. 5, p. 974, doi. 10.1139/x11-015
- By:
- Publication type:
- Article
48
Estimating cavity tree and snag abundance using negative binomial regression models and nearest neighbor imputation methods.
- Published in:
- Canadian Journal of Forest Research, 2009, v. 39, n. 9, p. 1749, doi. 10.1139/X09-086
- By:
- Publication type:
- Article
49
Mapping and imputing potential productivity of Pacific Northwest forests using climate variables.
- Published in:
- Canadian Journal of Forest Research, 2009, v. 39, n. 6, p. 1197, doi. 10.1139/X09-046
- By:
- Publication type:
- Article