Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters - Couverture souple

 
9783039212392: Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Couverture souple
ISBN 10 : 3039212397 ISBN 13 : 9783039212392
Editeur : Mdpi AG, 2019

Synopsis

Monitoring of vegetation structure and functioning is critical to modeling terrestrial ecosystems and energy cycles. In particular, leaf area index (LAI) is an important structural property of vegetation used in many land surface vegetation, climate, and crop production models. Canopy structure (LAI, fCover, plant height, and biomass) and biochemical parameters (leaf pigmentation and water content) directly influence the radiative transfer process of sunlight in vegetation, determining the amount of radiation measured by passive sensors in the visible and infrared portions of the electromagnetic spectrum. Optical remote sensing (RS) methods build relationships exploiting in situ measurements and/or as outputs of physical canopy radiative transfer models. The increased availability of passive (radar and LiDAR) RS data has fostered their use in many applications for the analysis of land surface properties and processes, thanks also to their insensitivity to weather conditions and the capability to exploit rich structural and textural information. Data fusion and multi-sensor integration techniques are pressing topics to fully exploit the information conveyed by both optical and microwave bands.

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Éditeur
Mdpi AG
Date d'édition
2019
Langue
anglais
ISBN 10 
3039212397
ISBN 13 
9783039212392
Reliure
Broché
Nombre de pages
334
Éditeur
García-Haro Francisco Javier, Fang Hongliang, Lopez Sanchez Juan M
Coordonnées du fabricant
non disponible
Personne responsable
non disponible