Concentration and thickness of sea ice in the Weddell Sea from SSM/I passive microwave radiometer data
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The leading information on sea ice thickness (SIT) is obtained through surface drilling, observations on ships, airborne electromagnetic induction techniques, upward-looking sonars and laser altimeters embedded in satellites. One limitation of these methods is in spatiotemporal studies elaboration on SIT seasonality. To evaluate the feasibility of other techniques, this study statistically analysed, during the freezing period, the relationship of brightness temperature (Tb) data of the 37V polarisation and the GR3719 (Gradient Ratio 37V and 19V) obtained by Special Sensor Microwave/Imager (SMM/I) from F11 and F13 satellites with SIT data obtained in the Weddell Sea through Antarctic Sea Ice Processes and Climate (ASPeCt) program. The multiple linear regression (MLR) was applied at 1,520 points, with 70% of these points being randomly se' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Brightness temperature","Multiple linear regression","Sea ice concentration","Spectral linear mixing model"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The leading information on sea ice thickness (SIT) is obtained through surface drilling, observations on ships, airborne electromagnetic induction techniques, upward-looking sonars and laser altimeters embedded in satellites. One limitation of these methods is in spatiotemporal studies elaboration on SIT seasonality. To evaluate the feasibility of other techniques, this study statistically analysed, during the freezing period, the relationship of brightness temperature (Tb) data of the 37V polarisation and the GR3719 (Gradient Ratio 37V and 19V) obtained by Special Sensor Microwave/Imager (SMM/I) from F11 and F13 satellites with SIT data obtained in the Weddell Sea through Antarctic Sea Ice Processes and Climate (ASPeCt) program. The multiple linear regression (MLR) was applied at 1,520 points, with 70% of these points being randomly se' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The leading information on sea ice thickness (SIT) is obtained through surface drilling, observations on ships, airborne electromagnetic induction techniques, upward-looking sonars and laser altimeters embedded in satellites. One limitation of these methods is in spatiotemporal studies elaboration on SIT seasonality. To evaluate the feasibility of other techniques, this study statistically analysed, during the freezing period, the relationship of brightness temperature (Tb) data of the 37V polarisation and the GR3719 (Gradient Ratio 37V and 19V) obtained by Special Sensor Microwave/Imager (SMM/I) from F11 and F13 satellites with SIT data obtained in the Weddell Sea through Antarctic Sea Ice Processes and Climate (ASPeCt) program. The multiple linear regression (MLR) was applied at 1,520 points, with 70% of these points being randomly se
Brightness temperature; Multiple linear regression; Sea ice concentration; Spectral linear mixing model