DocumentCode
2093190
Title
Wheat cycle monitoring using radar data and a neural network trained by a model
Author
Frate, F. Del ; Ferrazzoli, P. ; Guerriero, L. ; Strozzi, T. ; Wegmüller, U. ; Cookmartin, G. ; Quegan, S.
Author_Institution
DISP, Tor Vergata Univ., Rome, Italy
Volume
1
fYear
2002
fDate
2002
Firstpage
481
Abstract
An algorithm, based on an electromagnetic model and a neural network, aimed at monitoring the multitemporal evolution of wheat fields, is described. Three different sites are used to validate the model, provide reference ground data, and test the algorithm.
Keywords
agriculture; geophysical signal processing; geophysical techniques; neural nets; radar imaging; remote sensing by radar; synthetic aperture radar; vegetation mapping; Avignon; Driffield; England; SAR; Triticum; UK; agriculture; algorithm; crops; electromagnetic model; growth cycle; measurement technique; model; monitoring; neural net; neural network; radar remote sensing; synthetic aperture radar; training; vegetation mapping; wheat; wheat fields; Biomass; Crops; Electromagnetic modeling; Electronic mail; Monitoring; Neural networks; Soil; Spaceborne radar; Testing; Vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1025080
Filename
1025080
Link To Document