•  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous     
  •  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous
  1. Accueil
  2. Livres
  3. Sciences humaines
  4. Sciences
  5. Mathématiques
  6. Hyperspectral Remote Sensing of Pasture Quality

Hyperspectral Remote Sensing of Pasture Quality

Analysis and Prediction

Susanne Thulin
Livre broché | Anglais
77,95 €
+ 155 points
Livraison sous 1 à 4 semaines
Passer une commande en un clic
Payer en toute sécurité
Livraison en Belgique: 3,99 €
Livraison en magasin gratuite

Description

Analysis of data from imaging spectrometers to determine vegetation parameters is a new and emerging field of science. Hyperspectral remote sensing using field spectra, HyMap and Hyperion images are here used to study the feed quality of pastures. Both environmental and economical benefits can be achieved from predictive relationships between hyperspectral data and pasture quality parameters. The research described in this book provides assessments of different analysis methods, including advantages and limitations of different approaches as well as recommendations for future investigations. The work was carried out at three study sites in Victoria, Australia. Results show that there is a clear potential for hyperspectral remote sensing to provide important inputs to management decision system as pasture quality is the third crucial component needed after biomass and growth rate. The book gives both a thourough background to hyperspectral analysis of vegetation to date and a comprehensive introduction to hyperspectral remote sensing of pastures. It should therefore be very of great interest to both students and professionals in the fields of remote sensing and agronomy.

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
540
Langue:
Anglais

Caractéristiques

EAN:
9783659171758
Date de parution :
08-08-12
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
152 mm x 229 mm
Poids :
784 g

Les avis