Retrievals of land surface parameters from measured brightness temperatures at 1.4 and 10.65 GHz by a neural network

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2001, Pages 12-14

  Liou, Y A ^a   Liu, S F ^a   Lee, J B ^a   Wang, W J ^a   Wigneron, J P ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; ELECTROMAGNETIC WAVE PROPAGATION; FREQUENCIES; GRAIN (AGRICULTURAL PRODUCT); LIGHT POLARIZATION; MOISTURE; NEURAL NETWORKS; RADIOMETERS; SOILS; SURFACES; TEMPERATURE MEASUREMENT;

BRIGHTNESS TEMPERATURE; ERROR PROPAGATION LEARNING BACK PROPAGATION; L BAND RADIOMETER; LAND SURFACE PARAMETERS; WHEAT; X BAND RADIOMETER;

REMOTE SENSING;

EID: 0035574369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Use of passive microwave remote sensing to monitor soil moisture
2. A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields
3. An error propagation learning back propagation neural network
4. Multifrequency emission of whet: Modeling and applications
5. A neural network approach to radiometric sensing of land surface parameters
6. Retrieving soil moisture from simulated brightness temperatures by a neural network