Title :
Retrieval of crop biomass in 1989 by using ANN model of 1988
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
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;
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
DOI :
10.1109/IGARSS.1996.516993
