Name
Title | ||
|---|---|---|
The accuracy of large-area forest canopy cover estimation using Landsat in boreal region. |
Abstract | ||
|---|---|---|
•Remote sensing of canopy cover (CC) is essential in forest monitoring and ecology.•Large area CC prediction in boreal forests using Landsat was shown feasible.•High quality ground CC reference (N=250) across diverse forest structure and sites.•Simple beta regression model with red reflectance optimal to predict CC.•First validation of Landsat Tree Cover Continuous global product in boreal forests. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jag.2016.08.009 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Canopy cover,Landsat,Tree cover,Boreal,Forest | Tree canopy,Empirical modelling,Endmember,Vegetation,Remote sensing,Taiga,Random forest,Boreal,Geography,Canopy | Journal |
Volume | ISSN | Citations |
53 | 0303-2434 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadi | 1 | 0 | 0.34 |
| Lauri Korhonen | 2 | 26 | 7.03 |
| Aarne Hovi | 3 | 4 | 1.09 |
| Petri Rönnholm | 4 | 1 | 1.04 |
| Miina Rautiainen | 5 | 162 | 29.34 |