Evaluating Remote Sensing Data Or How to Avoid Making Great Discoveries by Misinterpreting Data Richard Kleidman ARSET-AQ Applied Remote Sensing Education.

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Presentation transcript:

Evaluating Remote Sensing Data Or How to Avoid Making Great Discoveries by Misinterpreting Data Richard Kleidman ARSET-AQ Applied Remote Sensing Education and Training A project of NASA Applied Sciences

Aqua Daily Overpass ~ 1:30 PM local time Terra Daily Overpass ~ 10:30 AM local time AOD at 550 nm Area Average Plot Giovanni MODIS Daily Instance June , 2008

Aqua Daily Overpass ~ 1:30 PM local time Terra Daily Overpass ~ 10:30 AM local time AOD at 550 nm Area Average Plot Giovanni MODIS Daily Instance June , 2008 A Potential Discovery! Real or Not Real ? You Decide!

Aqua Daily Overpass ~ 1:30 PM local time Terra Daily Overpass ~ 10:30 AM local time AOD at 550 nm Area Average Plot Giovanni MODIS Daily Instance June , 2008 Hypothesis 1: The differences in aerosol concentration represent a Diurnal Cycle with different amounts of aerosol being produced or transported afternoon and morning. Hypothesis 2: The differences in aerosol concentration are either not real or not significant and could be caused by Sensor error Algorithm error Sampling error ?

Possible ways to interpret these differences Real world differences - Leads to a conclusion(s) about aerosols - Can lead to further research about aerosols Differences due to other factors - Can lead to false conclusion about aerosols - Need to be explored and understood to avoid similar problems in the future - Can lead to advances in remote sensing capabilities!

Remote Sensing Process Energy Source or Illumination (A) Radiation and the Atmosphere (B) Interaction with the Target (C) Transmission, Reception, and Processing (E) Interpretation and Analysis (F) (G) Application Reference: CCRS/CCT Recording of Energy by the Sensor (D) 7

Important Factors to Understand Analysis Tool Giovanni – provides data in 1 degree resolution Data Products– Aqua and Terra Level 2 Products are from a single overpass 10 KM resolution Aqua and Terra Level 3 Products are global composites in 1 Degree resolution

Important Factors to Understand Mid – latitude 1° x 1° is about 85 Km x 110 Km ~ Km MODIS retrievals possible~ Km MODIS retrievals possible Swath Nadir Edge

Important Factors to Understand One MODIS 10 Km Retrieval Begins life as km (at nadir) pixels And ends as a product composed of 12 – 120 pixels

Information Necessary to Understand the Results Sensor Characteristics – Aqua and Terra are identical designs There are some small differences in sensor performance Algorithm Details– Aqua and Terra use the same algorithm. Data Products– Aqua and Terra Level 2 Products are in 10 KM resolution Aqua and Terra Level 3 Products are in 1 Degree resolution Giovanni provides Level 3 Data in 1 Degree resolution.

Aqua Terra A blank (white) square has no retrievals for the entire time period. AOD at 550 nm Area Average Plot June , 2008 Examining other features in this data set and using our knowledge of the sensor and products can help us to understand the cause of the differences in mean aerosol.

Evaluating Data Understand the sensor characteristics Understand the product details Understand the data visualization tools and outputs.