Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-06-25 11:31:27	ga_ls7e_ard_3-0-0_111081_2016-06-25_final
2016-06-25 11:31:51	ga_ls7e_ard_3-1-0_111082_2016-06-25_final
2016-06-25 11:32:14	ga_ls7e_ard_3-0-0_111083_2016-06-25_final
2016-06-25 11:32:38	ga_ls7e_ard_3-0-0_111084_2016-06-25_final
2016-07-02 11:36:02	ga_ls7e_ard_3-0-0_112077_2016-07-02_final
2016-07-02 11:37:13	ga_ls7e_ard_3-0-0_112080_2016-07-02_final
2016-07-02 11:37:37	ga_ls7e_ard_3-0-0_112081_2016-07-02_final
2016-07-02 11:38:01	ga_ls7e_ard_3-0-0_112082_2016-07-02_final
2016-07-09 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-07-09_final
2016-07-09 11:41:24	ga_ls7e_ard_3-0-0_113075_2016-07-09_final
2016-07-09 11:41:48	ga_ls7e_ard_3-0-0_113076_2016-07-09_final
2016-07-09 11:42:12	ga_ls7e_ard_3-0-0_113077_2016-07-09_final
2016-07-11 11:31:26	ga_ls7e_ard_3-0-0_111081_2016-07-11_final
2016-07-11 11:31:50	ga_ls7e_ard_3-1-0_111082_2016-07-11_final
2016-07-11 11:32:14	ga_ls7e_ard_3-0-0_111083_2016-07-11_final
2016-07-11 11:32:38	ga_ls7e_ard_3-0-0_111084_2016-07-11_final
2016-07-25 11:41:03	ga_ls7e_ard_3-0-0_113074_2016-07-25_final
2016-07-25 11:41:26	ga_ls7e_ard_3-0-0_113075_2016-07-25_final
2016-07-25 11:41:50	ga_ls7e_ard_3-0-0_113076_2016-07-25_final
2016-07-25 11:42:14	ga_ls7e_ard_3-0-0_113077_2016-07-25_final
2016-07-25 11:42:38	ga_ls7e_ard_3-0-0_113078_2016-07-25_final
2016-08-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2016-08-17_final
2016-08-19 11:36:06	ga_ls7e_ard_3-0-0_112077_2016-08-19_final
2016-08-19 11:36:30	ga_ls7e_ard_3-0-0_112078_2016-08-19_final
2016-08-19 11:36:54	ga_ls7e_ard_3-0-0_112079_2016-08-19_final
2016-08-19 11:37:17	ga_ls7e_ard_3-0-0_112080_2016-08-19_final
2016-08-19 11:37:41	ga_ls7e_ard_3-0-0_112081_2016-08-19_final
2016-08-26 11:41:07	ga_ls7e_ard_3-0-0_113074_2016-08-26_final
2016-08-26 11:41:31	ga_ls7e_ard_3-0-0_113075_2016-08-26_final
2016-08-26 11:41:55	ga_ls7e_ard_3-0-0_113076_2016-08-26_final
2016-08-26 11:42:18	ga_ls7e_ard_3-0-0_113077_2016-08-26_final
2016-08-26 11:42:42	ga_ls7e_ard_3-0-0_113078_2016-08-26_final
2016-09-18 11:44:33	ga_ls7e_ard_3-0-0_114067_2016-09-18_final
2017-05-25 11:40:58	ga_ls7e_ard_3-0-0_113074_2017-05-25_final
2017-05-25 11:41:21	ga_ls7e_ard_3-0-0_113075_2017-05-25_final
2017-05-25 11:41:45	ga_ls7e_ard_3-0-0_113076_2017-05-25_final
2017-05-25 11:42:09	ga_ls7e_ard_3-0-0_113077_2017-05-25_final
2017-05-25 11:42:33	ga_ls7e_ard_3-0-0_113078_2017-05-25_final
2017-06-17 11:44:27	ga_ls7e_ard_3-0-0_114067_2017-06-17_final
2017-09-23 11:36:03	ga_ls7e_ard_3-0-0_112077_2017-09-23_final
2017-09-23 11:36:27	ga_ls7e_ard_3-0-0_112078_2017-09-23_final
2017-09-23 11:36:50	ga_ls7e_ard_3-0-0_112079_2017-09-23_final
2017-09-23 11:37:38	ga_ls7e_ard_3-0-0_112081_2017-09-23_final
2017-09-23 11:38:02	ga_ls7e_ard_3-0-0_112082_2017-09-23_final
2017-10-27 11:26:32	ga_ls7e_ard_3-0-0_110084_2017-10-27_final
2017-11-01 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-11-01_final
2017-11-01 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-11-01_final
2017-11-01 11:41:53	ga_ls7e_ard_3-0-0_113076_2017-11-01_final
2017-11-01 11:42:17	ga_ls7e_ard_3-0-0_113077_2017-11-01_final
2017-11-01 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-11-01_final
2017-11-03 11:31:31	ga_ls7e_ard_3-0-0_111081_2017-11-03_final
2017-11-03 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-11-03_final
2017-11-03 11:32:18	ga_ls7e_ard_3-0-0_111083_2017-11-03_final
2017-11-26 11:35:36	ga_ls7e_ard_3-0-0_112076_2017-11-26_final
2017-11-26 11:36:00	ga_ls7e_ard_3-0-0_112077_2017-11-26_final
2017-11-26 11:36:24	ga_ls7e_ard_3-0-0_112078_2017-11-26_final
2017-11-26 11:36:47	ga_ls7e_ard_3-0-0_112079_2017-11-26_final
2017-11-26 11:37:11	ga_ls7e_ard_3-0-0_112080_2017-11-26_final
2017-11-26 11:37:35	ga_ls7e_ard_3-0-0_112081_2017-11-26_final
2017-11-26 11:37:59	ga_ls7e_ard_3-0-0_112082_2017-11-26_final
2017-11-28 11:26:25	ga_ls7e_ard_3-0-0_110084_2017-11-28_final
2017-12-14 11:26:16	ga_ls7e_ard_3-0-0_110084_2017-12-14_final
2017-12-19 11:40:46	ga_ls7e_ard_3-0-0_113074_2017-12-19_final
2017-12-19 11:41:10	ga_ls7e_ard_3-0-0_113075_2017-12-19_final
2017-12-19 11:41:34	ga_ls7e_ard_3-0-0_113076_2017-12-19_final
2017-12-19 11:41:58	ga_ls7e_ard_3-0-0_113077_2017-12-19_final
2017-12-19 11:42:22	ga_ls7e_ard_3-0-0_113078_2017-12-19_final
2017-12-21 11:31:11	ga_ls7e_ard_3-0-0_111081_2017-12-21_final
2017-12-21 11:31:35	ga_ls7e_ard_3-1-0_111082_2017-12-21_final
2017-12-21 11:31:59	ga_ls7e_ard_3-0-0_111083_2017-12-21_final
2017-12-21 11:32:23	ga_ls7e_ard_3-0-0_111084_2017-12-21_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-03-30 11:15:05	ga_ls7e_ard_3-1-0_113075_2020-03-30_final
2020-03-30 11:15:29	ga_ls7e_ard_3-1-0_113076_2020-03-30_final
2020-03-30 11:15:53	ga_ls7e_ard_3-1-0_113077_2020-03-30_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-04-01 11:05:00	ga_ls7e_ard_3-1-0_111081_2020-04-01_final
2020-04-01 11:05:24	ga_ls7e_ard_3-1-0_111082_2020-04-01_final
2020-04-01 11:05:48	ga_ls7e_ard_3-1-0_111083_2020-04-01_final
2020-04-01 11:06:12	ga_ls7e_ard_3-1-0_111084_2020-04-01_final
2020-04-17 11:04:05	ga_ls7e_ard_3-1-0_111081_2020-04-17_final
2020-04-17 11:04:29	ga_ls7e_ard_3-1-0_111082_2020-04-17_final
2020-04-17 11:04:53	ga_ls7e_ard_3-1-0_111083_2020-04-17_final
2020-04-17 11:05:17	ga_ls7e_ard_3-1-0_111084_2020-04-17_final
2020-07-22 10:58:20	ga_ls7e_ard_3-1-0_111081_2020-07-22_final
2020-07-22 10:58:44	ga_ls7e_ard_3-1-0_111082_2020-07-22_final
2020-07-22 10:59:07	ga_ls7e_ard_3-1-0_111083_2020-07-22_final
2020-07-22 10:59:31	ga_ls7e_ard_3-1-0_111084_2020-07-22_final
2020-07-27 11:13:46	ga_ls7e_ard_3-1-0_114074_2020-07-27_final
2020-07-29 11:02:29	ga_ls7e_ard_3-1-0_112077_2020-07-29_final
2020-07-29 11:02:52	ga_ls7e_ard_3-1-0_112078_2020-07-29_final
2020-07-29 11:03:16	ga_ls7e_ard_3-1-0_112079_2020-07-29_final
2020-07-29 11:03:40	ga_ls7e_ard_3-1-0_112080_2020-07-29_final
2020-07-29 11:04:04	ga_ls7e_ard_3-1-0_112081_2020-07-29_final
2020-07-29 11:04:28	ga_ls7e_ard_3-1-0_112082_2020-07-29_final
2020-07-29 11:04:52	ga_ls7e_ard_3-1-0_112083_2020-07-29_final
2020-08-05 11:07:01	ga_ls7e_ard_3-1-0_113074_2020-08-05_final
2020-08-05 11:07:25	ga_ls7e_ard_3-1-0_113075_2020-08-05_final
2020-08-05 11:07:49	ga_ls7e_ard_3-1-0_113076_2020-08-05_final
2020-08-05 11:08:13	ga_ls7e_ard_3-1-0_113077_2020-08-05_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years