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Remote Sensing of Biophysical Parameters

Vegetation plays an essential role in the study of the environment through plant respiration and photosynthesis. Therefore, the assessment of the current vegetation status is critical to modeling terrestrial ecosystems and energy cycles. Canopy structure (LAI, fCover, plant height, biomass, leaf ang...

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Bibliographic Details
Main Author: García-Haro, Francisco Javier
Other Authors: Fang, Hongliang, Campos-Taberner, Manuel
Format: eBook
Language:English
Published: Basel 2022
Subjects:
Machine Learning
Meteosat Second Generation (msg)
Enmap
Sentinel-2
Asd Field Spec
Fraction Of Photosynthetically Active Radiation Absorbed By Vegetation (fpar)
Fapar
Canopy Chlorophyll Content
Soil Albedo
Canopy Loss
Three-dimensional Radiative Transfer Model (3d Rtm)
Lasrc
Hyperspectral
Inform
Terrestrial Laser Scanning (tls)
Wildfire
Sail
Discrete Anisotropic Radiative Transfer (dart) Model
6sv
Unmanned Aircraft Vehicle
Equivalent Water Thickness
Moderate Resolution Imaging Spectroradiometer (modis)
Gpr
Forest
Rapeseed Crop
Surface Reflectance
Invasive Vegetation
Riparian
Lcc
Prosail
Woody Area Index (wai)
Agriculture
Lead Ions
Research & Information: General / Bicssc
Fapar)
Landsat 8
Leaf Area Index
Seviri
Multispectral Sensor
Spectrometry
Lai
The Fraction Of Radiation Absorbed By Photosynthetic Components (fapargreen)
Vegetation Indices
Satellite Application Facility For Land Surface Analysis (lsa Saf)
Canopy Water Content
Fluorescence
Burn Severity
Srem
Biophysical Parameters (lai
Uncertainty Assessment
Active Learning
Leaf Area Index (lai)
Remote Sensing Indices
In Vivo
Site-specific Farming
Climate Data Records (cdr)
Artificial Neural Networks
Stochastic Spectral Mixture Model (ssmm)
Vegetation Radiative Transfer Model
Vertical Foliage Profile (vfp)
Ccc
Airborne Laser Scanning (als)
Clumping Index (ci)
Spectroscopy
Triple-source
Fvc
Modis
Ledaps
Spaceborne Laser Scanning (sls)
Ndvi
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Vegetation plays an essential role in the study of the environment through plant respiration and photosynthesis. Therefore, the assessment of the current vegetation status is critical to modeling terrestrial ecosystems and energy cycles. Canopy structure (LAI, fCover, plant height, biomass, leaf angle distribution) and biochemical parameters (leaf pigmentation and water content) have been employed to assess vegetation status and its dynamics at scales ranging from kilometric to decametric spatial resolutions thanks to methods based on remote sensing (RS) data.Optical RS retrieval methods are based on the radiative transfer processes of sunlight in vegetation, determining the amount of radiation that is measured by passive sensors in the visible and infrared channels. The increased availability of active RS (radar and LiDAR) data has fostered their use in many applications for the analysis of land surface properties and processes, thanks to their insensitivity to weather conditions and the ability to exploit rich structural and texture information. Optical and radar data fusion and multi-sensor integration approaches are pressing topics, which could fully exploit the information conveyed by both the optical and microwave parts of the electromagnetic spectrum.This Special Issue reprint reviews the state of the art in biophysical parameters retrieval and its usage in a wide variety of applications (e.g., ecology, carbon cycle, agriculture, forestry and food security).
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (274 p.)
ISBN:books978-3-0365-4902-6
9783036549019
9783036549026

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