Retrieval of crop biomass in 1989 by using ANN model of 1988

Author

Jin, Ya-Qiu

Author_Institution

Dept. of Electron. Eng., Fudan Univ., Shanghai, China

Volume

4

fYear

1996

fDate

27-31 May 1996

Firstpage

2380

Abstract

By using the observation data of microwave active/passive remote sensing and measurements of crop biomass parameters during the days of 1988, the artificial neural network (ANN) is trained. This ANN model is then used to retrieve the temporal variation of crop biomass parameters from active and passive observation during the days of 1989. The retrieval results are good comparing with the ground truth measurements in 1989

Keywords

agriculture; geophysical signal processing; geophysical techniques; geophysics computing; microwave measurement; neural nets; radar imaging; radiometry; remote sensing; remote sensing by radar; AD 1988; AD 1989; ANN model; agriculture; artificial neural network; crop biomass retrieval; crops; geophysical measurement technique; geophysics computing; microwave radiometry; neural net; radar remote sensing; temporal variation; vegetation mapping; Artificial neural networks; Biomass; Crops; Data engineering; Information retrieval; Microwave measurements; Polarization; Radar scattering; Remote sensing; Scattering parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516993

Filename

516993