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
2002-10-14 11:33:06	ga_ls7e_ard_3-0-0_114076_2002-10-14_final
2002-10-14 11:33:30	ga_ls7e_ard_3-0-0_114077_2002-10-14_final
2002-10-14 11:33:54	ga_ls7e_ard_3-0-0_114078_2002-10-14_final
2002-10-14 11:34:18	ga_ls7e_ard_3-0-0_114079_2002-10-14_final
2002-11-08 11:29:07	ga_ls7e_ard_3-0-0_113081_2002-11-08_final
2002-11-08 11:29:31	ga_ls7e_ard_3-0-0_113082_2002-11-08_final
2002-11-08 11:29:55	ga_ls7e_ard_3-0-0_113083_2002-11-08_final
2002-11-08 11:30:19	ga_ls7e_ard_3-0-0_113084_2002-11-08_final
2002-11-15 11:33:46	ga_ls7e_ard_3-0-0_114077_2002-11-15_final
2002-11-15 11:34:10	ga_ls7e_ard_3-0-0_114078_2002-11-15_final
2002-11-15 11:34:34	ga_ls7e_ard_3-0-0_114079_2002-11-15_final
2002-11-15 11:34:58	ga_ls7e_ard_3-0-0_114080_2002-11-15_final
2009-10-10 11:31:17	ga_ls7e_ard_3-0-0_113081_2009-10-10_final
2009-10-10 11:31:41	ga_ls7e_ard_3-0-0_113082_2009-10-10_final
2009-10-10 11:32:05	ga_ls7e_ard_3-0-0_113083_2009-10-10_final
2015-10-09 11:50:53	ga_ls7e_ard_3-0-0_115074_2015-10-09_final
2015-10-09 11:51:17	ga_ls7e_ard_3-0-0_115075_2015-10-09_final
2015-10-09 11:51:41	ga_ls7e_ard_3-0-0_115076_2015-10-09_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2015-10-09 11:52:29	ga_ls7e_ard_3-0-0_115078_2015-10-09_final
2015-11-26 11:51:40	ga_ls7e_ard_3-0-0_115074_2015-11-26_final
2015-11-26 11:52:04	ga_ls7e_ard_3-0-0_115075_2015-11-26_final
2015-11-26 11:52:28	ga_ls7e_ard_3-0-0_115076_2015-11-26_final
2015-11-26 11:52:52	ga_ls7e_ard_3-0-0_115077_2015-11-26_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2016-01-08 11:37:47	ga_ls7e_ard_3-0-0_112084_2016-01-08_final
2016-05-13 11:47:49	ga_ls7e_ard_3-0-0_114076_2016-05-13_final
2016-05-13 11:48:13	ga_ls7e_ard_3-0-0_114077_2016-05-13_final
2016-05-13 11:48:37	ga_ls7e_ard_3-0-0_114078_2016-05-13_final
2016-05-13 11:49:01	ga_ls7e_ard_3-0-0_114079_2016-05-13_final
2016-05-13 11:49:25	ga_ls7e_ard_3-0-0_114080_2016-05-13_final
2016-05-13 11:49:49	ga_ls7e_ard_3-0-0_114081_2016-05-13_final
2016-05-15 11:38:39	ga_ls7e_ard_3-1-0_112084_2016-05-15_final
2016-05-29 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-05-29_final
2016-05-29 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-05-29_final
2016-05-29 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-05-29_final
2016-05-29 11:49:06	ga_ls7e_ard_3-0-0_114079_2016-05-29_final
2016-05-29 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-05-29_final
2016-05-31 11:38:45	ga_ls7e_ard_3-1-0_112084_2016-05-31_final
2016-06-07 11:44:10	ga_ls7e_ard_3-0-0_113082_2016-06-07_final
2016-06-07 11:44:34	ga_ls7e_ard_3-0-0_113083_2016-06-07_final
2016-06-14 11:47:58	ga_ls7e_ard_3-0-0_114076_2016-06-14_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-06-14 11:48:46	ga_ls7e_ard_3-0-0_114078_2016-06-14_final
2016-06-14 11:49:10	ga_ls7e_ard_3-0-0_114079_2016-06-14_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2016-06-16 11:38:49	ga_ls7e_ard_3-0-0_112084_2016-06-16_final
2016-12-07 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-12-07_final
2016-12-07 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-12-07_final
2016-12-07 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-12-07_final
2016-12-07 11:49:06	ga_ls7e_ard_3-0-0_114079_2016-12-07_final
2016-12-07 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-12-07_final
2016-12-09 11:38:44	ga_ls7e_ard_3-0-0_112084_2016-12-09_final
2016-12-14 11:53:15	ga_ls7e_ard_3-0-0_115074_2016-12-14_final
2016-12-14 11:53:39	ga_ls7e_ard_3-0-0_115075_2016-12-14_final
2016-12-14 11:54:03	ga_ls7e_ard_3-0-0_115076_2016-12-14_final
2016-12-14 11:54:27	ga_ls7e_ard_3-1-0_115077_2016-12-14_final
2016-12-14 11:54:51	ga_ls7e_ard_3-0-0_115078_2016-12-14_final
2016-12-16 11:43:40	ga_ls7e_ard_3-0-0_113081_2016-12-16_final
2016-12-16 11:44:04	ga_ls7e_ard_3-0-0_113082_2016-12-16_final
2016-12-16 11:44:28	ga_ls7e_ard_3-0-0_113083_2016-12-16_final
2016-12-16 11:44:52	ga_ls7e_ard_3-0-0_113084_2016-12-16_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-04-08 11:51:40	ga_ls7e_ard_3-0-0_115074_2018-04-08_final
2018-04-08 11:52:04	ga_ls7e_ard_3-0-0_115075_2018-04-08_final
2018-04-08 11:52:28	ga_ls7e_ard_3-0-0_115076_2018-04-08_final
2018-04-08 11:52:52	ga_ls7e_ard_3-1-0_115077_2018-04-08_final
2018-04-08 11:53:16	ga_ls7e_ard_3-0-0_115078_2018-04-08_final
2018-04-10 11:42:52	ga_ls7e_ard_3-0-0_113083_2018-04-10_final
2018-04-10 11:43:16	ga_ls7e_ard_3-0-0_113084_2018-04-10_final
2018-06-27 11:50:17	ga_ls7e_ard_3-0-0_115074_2018-06-27_final
2018-06-27 11:50:41	ga_ls7e_ard_3-0-0_115075_2018-06-27_final
2018-06-27 11:51:05	ga_ls7e_ard_3-0-0_115076_2018-06-27_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-06-27 11:51:53	ga_ls7e_ard_3-0-0_115078_2018-06-27_final
2018-06-29 11:40:41	ga_ls7e_ard_3-0-0_113081_2018-06-29_final
2018-06-29 11:41:05	ga_ls7e_ard_3-0-0_113082_2018-06-29_final
2018-06-29 11:41:29	ga_ls7e_ard_3-0-0_113083_2018-06-29_final
2018-06-29 11:41:52	ga_ls7e_ard_3-0-0_113084_2018-06-29_final
2018-08-09 11:34:56	ga_ls7e_ard_3-0-0_112084_2018-08-09_final
2019-07-25 11:33:54	ga_ls7e_ard_3-0-0_114077_2019-07-25_final
2019-07-25 11:34:18	ga_ls7e_ard_3-0-0_114078_2019-07-25_final
2019-07-25 11:34:42	ga_ls7e_ard_3-0-0_114079_2019-07-25_final
2019-07-25 11:35:06	ga_ls7e_ard_3-0-0_114080_2019-07-25_final
2019-07-27 11:24:15	ga_ls7e_ard_3-1-0_112084_2019-07-27_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-01-17 11:26:43	ga_ls7e_ard_3-1-0_114079_2020-01-17_final
2020-01-17 11:27:07	ga_ls7e_ard_3-1-0_114080_2020-01-17_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-02-02 11:25:31	ga_ls7e_ard_3-1-0_114078_2020-02-02_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-02 11:26:19	ga_ls7e_ard_3-1-0_114080_2020-02-02_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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years