Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Algorithm Test Datasets

Thompson, James Oliver (2023) Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Algorithm Test Datasets. [Dataset] (Submitted)

	Other (Fuego Data Table (.MAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (362MB)
	Other (Lascar Data Table (.MAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (490MB)
	Other (Popocatépetl Data Table (.MAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (601MB)
	Other (Etna Data Table (.MAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (863MB)
	Other (Kliuchevskoi Data Table (.MAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (745MB)
	CSV (Fuego Data Table (.DAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (2GB)
	CSV (Lascar Data Table (.DAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (3GB)
	CSV (Etna Data Table (.DAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (5GB)
	CSV (Popocatépetl Data Table (.DAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (3GB)
	CSV (Kliuchevskoi Data Table (.DAT format)) Data Available under License Creative Commons Attribution No Derivatives. Download (5GB)
Preview	PDF (Eruption Dates) Data Available under License Creative Commons Attribution No Derivatives. Download (413kB) | Preview

Abstract

These datasets were created using the Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Algorithm that performs image preprocessing and statstical anyalyis to indenfity subtle thermal anomalies in L1T ASTER scenes. The code can be found at: https://github.com/jthompson2710/ASTAD. The following manuscript in Remote Sensing of the Environment describes the algorithm and its application in detail: "this will be added when published". This work was supported by NASA grants 80NSSC18K1001 and 80NSSC20K1336.

The data are in MATLAB .mat format as Data Tables, and can be opened in MATLAB using the load function
The data are also available as .DAT files and can be opened in other programming/GIS software.

The data tables are in the following structure:

1: FileName - The name if the HDF file

2: Dates - The date of the file (MM/DD/YYYY)

3: Times - Time in UTC (HMMSS)

4: DayNightFlag - Day and Night Flag (local time), with 1 = Day and 0 = Night

5: R - Contains the full scene map reference information for each cell

6: Info - Contains the metadata for the scene from the HDF files

7-11: Image_## - Contains the 90 x 90 pixel subset area data (gain and offset corrected) for each band (double)

12-16: Image##_DN - Contains the 90 x 90 pixel subset area digital number data for each band (uint16)

17: Gabor - The results of the Gabor processing for each image (double)

18: STThreshold - The Gabor threshold used to determine anomalies (double)

19: G_ID - Mask of anomalous pixels determined from Gabor (double)

20: G-Temp - Temperature of anomalous pixels determined from Gabor (double) (Kelvin)

21: InnerAnnulusRadius - The radius in pixels of the annulus calculated determining the extent of the anomalous pixels away from the volcano summit(double). This is used to determine the background temperature calculation.

22: G_TAB - The above background temperature of the anomalous pixels in Kelvin (double)

23: G_Background - The location and temperature of the background area used in the processing

24: AnomalyCategory - The anomaly category determining the anomaly status for each scene, with: 0 = Summit off scene, 1 = Cloudy scene 2 = No anomaly detected 3 = Anomaly detected

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Details

Item Type:	Dataset
Status:	Submitted
Creators/Authors:	Creators Email Pitt Username ORCID Thompson, James Oliver james.thompson@pitt.edu jot52 0000-0003-4540-5717
Contributors:	Contribution Contributors Name Email Pitt Username ORCID UNSPECIFIED Corradino, Claudia UNSPECIFIED UNSPECIFIED 0000-0003-3054-6840 UNSPECIFIED Ramsey, Michael mramsey@pitt.edi UNSPECIFIED UNSPECIFIED UNSPECIFIED Leggett, Tyler UNSPECIFIED UNSPECIFIED 0000-0001-6389-5110
Date:	28 April 2023
Date Type:	Completion
DOI or Unique Handle:	10.18117/7eap-4x79
Schools and Programs:	Dietrich School of Arts and Sciences > Geology and Environmental Science
Funders:	NASA grant 80NSSC18K1001, NASA grant 80NSSC20K1336
Type of Data:	Database
Copyright Holders:	James O Thompson
Date Deposited:	08 May 2023 20:13
Last Modified:	22 Jun 2023 16:45
URI:	http://d-scholarship.pitt.edu/id/eprint/44804

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