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Advances in Remote Sensing for Global Forest Monitoring

The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and...

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Bibliographic Details
Main Author: Tomppo, Erkki
Other Authors: Praks, Jaan, Wang, Guangxing, Waser, Lars T.
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
South Africa
Bowen Ratio
Logistic Regression
Error Propagation
Forest Monitoring
Activity Data
Landsat
Genetic Algorithm
Ipcc Good Practice Guidelines
Data Fusion
Deep Learning
Improved K-nn
Ordinary Neighbor Interpolation
Random Forests
Uncertainty
Stereo Imagery
Boreal Forest
Statistical Estimator
Drought
Inconsistency
Tropical Forest
Carbon Flux
Picea Crassifolia Kom
Digital Terrain Model
Forest Structure Change
Research & Information: General / Bicssc
Cusum
Digital Surface Model
Machine-learning
Small Area Estimation
Dual-fcn8s
Support Vector Machine
Multitemporal Lidar And Stand-level Estimates
Forest Disturbance Mapping
Environmental Economics / Bicssc
Windstorm Damage
Validation
Data Assessment
Magnitude
Eblup
Germany
Sentinel-2
Time Series Satellite Data
Degradation
Canopy Height Model
Random Forest
Temporal Dynamics
N/a
Multinomial Logistic Regression
Savanna
Compatible Equation
Constrained Neighbor Interpolation
Tropical Peat
Synthetic Aperture Radar
La Rioja
Temperate Forest
Forest Area Change
Point Cloud Density
Error-in-variable Modeling
Remotely Sensed Lai
Gf2
Land Use Land Cover
Sentinel 2
Field Measured Lai
Forest Type
Nonlinear Seemingly Unrelated Regression
Lidar
Crfasrnn
Fcn8s
Nrt Monitoring
Classification
Forest Cover
Sentinel-1
Bootstrapping
Uncertainty Evaluation
Near Real-time Monitoring
Leave-one-out Cross-validation
State Space Models
Removals Factor
C-band
Emissions Factor
Deforestation
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (352 p.)
ISBN:9783036512532
9783036512525
books978-3-0365-1253-2

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