@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ns0: <http://gcmd.gsfc.nasa.gov/kms#> .

<https://gcmd.earthdata.nasa.gov/kms/concept/4190ebdc-e89a-4f3f-bc74-b2af4c68d009>
  skos:prefLabel "Profilers/Sounders"@en ;
  a skos:Concept ;
  skos:narrower <https://gcmd.earthdata.nasa.gov/kms/concept/3a45d262-7ff0-4f69-8e31-48f56a7edb82> .

<https://gcmd.earthdata.nasa.gov/kms/concept/3a45d262-7ff0-4f69-8e31-48f56a7edb82>
  ns0:resource [ ] ;
  ns0:altLabel [ ] ;
  skos:definition """AEM (airborne electromagnetic) anomalies caused by massive sulphide conductors and superficial conductors can be recognized with a statistical method, as shown by an analysis of Input AEM data from Karnataka State. The weathering in the survey area is of tropical type. Parameters, such as various amplitude ratios and time parameters (inverse of decay rate) for exponential and power-law decay were analyzed for sulphide bodies, conducting soil, superficial conductors, and cultural conductors. Time parameters T1 (exponential decay) is defined as ratio of time differences between the third and fourth channel to the logarithmic value of the relative amplitude of the two channels. Time parameter K1 (power-law decay) is defined as ratio of the difference of the logarithmic values of the delay times of the third and fourth channels to the logarithmic value of the relative amplitude of the two channels. The two parameters have been useful in recognizing sulphide conductors. Also the first channel Input amplitude and logarithmic plot of the transients appear to be helpful in conductor identification. Channel ratios seem to be the least effective parameters of conductor identification. In the area studied both power-law and the conventional exponential decay were found equally suitable for approximating Input AEM transients.


Group: Instrument_Details
   Entry_ID: AEM
   Group: Instrument_Identification
      Instrument_Category: Earth Remote Sensing Instruments
      Instrument_Class: Passive Remote Sensing
      Instrument_Type: Profilers/Sounders
      Short_Name: AEM
      Long_Name: Airborne Electromagnetic Profiler
   End_Group
   Group: Instrument_Associated_Sensors
      Short_Name: AEM
   End_Group
   Online_Resource: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2478.1982.tb01300.x
   Sample_Image: http://www.fugroairborne.com/grfx/aircraft/geotem_main.jpg
   Creation_Date: 2008-03-18
End_Group"""@en ;
  skos:prefLabel "AEM"@en ;
  skos:inScheme <https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/instruments> ;
  skos:broader <https://gcmd.earthdata.nasa.gov/kms/concept/4190ebdc-e89a-4f3f-bc74-b2af4c68d009> ;
  a skos:Concept .