Cover Image
Read Now

Monitoring Forest Carbon Sequestration with Remote Sensing

The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on "Monitoring forest carbon sequestration with remote sensing" mainly focuses on new remote sensing theories, methods,...

Full description

Bibliographic Details
Main Author: Du, Huaqiang
Other Authors: Fan, Wenyi, Li, Mingshi, Fan, Weiliang
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Urban Forest
Canopy Volume
Forest Structure
Landsat
Net Primary Productivity
Feature Fusion
Dynamic Change
Random Forest Kriging
Forest Density
Feature Selection
Deep Learning
Spatiotemporal Evolution
Signal Penetration
Interferometry
Random Forests
Probability & Statistics / Bicssc
Random Forest Model
Gross Primary Productivity
Scale Effect
Uav-lidar
Pca
Machine Learning Algorithm
Scale Correction
Rf
Terrain Slope
Beps Model
Classifying Forest Types
Artificial Neural Network
Transects
Near-infrared Reflectance Of Vegetation
Driving Factors
Forest Height Inversion
Pinus Patula
Yunnan Province
Stem Volume (v)
Sentinel-2 Images
Research & Information: General / Bicssc
Model Comparison
Sensitivity
Northeast China
Aboveground Carbon Density
Pinus Densata Forests
Airborne Lidar
Timesat
L-band Polinsar
Influential Mechanism
Eucalyptus Camaldulensis
Carbon Budget
Synthetic Aperture Radar (sar)
Pinus Densata
Hainan Island
Climate Change
Wavelet Analysis
Fisheye Camera Photos
Quantile Regression Neural Network
Landsat 8-oli Images
Modis
Complex Coherence Amplitude Inversion
Forest Aboveground Biomass
Srtm
Forest Aboveground Biomass (agb)
Coherence
Polarization Decomposition
Eucalyptus
Stochastic Gradient Boosting
Forest Height
Bamboo Forest
Random Forest
Ridge Regression
Wavelet Transform
Mathematics & Science / Bicssc
Clumping Index
Field Measurement
Diameter At Breast Height (dbh)
Eucalyptus Grandis
Bayesian Hierarchical Modelling
Time Series
Vct Model
Airborne Hyperspectral
Mangrove Forests
Simulation
Carbon Storage
Shaoguan City
Remote Sensing Inversion
3-pg Model
Terrain Niche Index
Geostatistics
Three-stage Algorithm
Multi-source Data
Above-ground Biomass (agb)
Random Volume Over Ground (rvog) Model
Random Forest (rf)
Habitat Dataset
Aboveground Biomass (agb)
3d Green Volume
Shapelet
The Gost Model
Collinearity
Extinction Coefficient
Forest Carbon Stocks
Dynamic Threshold Method
Lai
Scenario Simulation
Stratified Estimation
Lidar
Remote Sensing
Estimation
Impact Analysis
Fy-3c Virr
Pine Forest
Phenology
Canopy Closure
Spatial Random Effects
Rvog Model
Coherence Optimization
Forest Age
Aboveground Biomass
Dynamic Model
Landsat Time-series
Rubber Plantation
Lucc
Invest Model
Spatially Varying Coefficient
Land Use/cover Change
Plus Model
Three-stage Inversion Method
Backscatter Coefficients
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on "Monitoring forest carbon sequestration with remote sensing" mainly focuses on new remote sensing theories, methods, and technologies for monitoring carbon sinks in forest ecosystems (including urban forest ecosystems).
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (652 p.)
ISBN:9783036572093
books978-3-0365-7209-3
9783036572086

Similar Items