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
2001-03-24 11:42:35	ga_ls7e_ard_3-0-0_115078_2001-03-24_final
2001-03-24 11:42:59	ga_ls7e_ard_3-0-0_115079_2001-03-24_final
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2001-04-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2001-04-25_final
2001-04-25 11:42:52	ga_ls7e_ard_3-0-0_115079_2001-04-25_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2001-05-11 11:42:22	ga_ls7e_ard_3-0-0_115078_2001-05-11_final
2001-07-14 11:41:21	ga_ls7e_ard_3-0-0_115077_2001-07-14_final
2001-07-14 11:41:45	ga_ls7e_ard_3-0-0_115078_2001-07-14_final
2001-07-14 11:42:09	ga_ls7e_ard_3-0-0_115079_2001-07-14_final
2001-08-15 11:41:14	ga_ls7e_ard_3-0-0_115078_2001-08-15_final
2001-08-15 11:41:38	ga_ls7e_ard_3-0-0_115079_2001-08-15_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2002-02-23 11:41:42	ga_ls7e_ard_3-0-0_115079_2002-02-23_final
2002-03-04 11:36:22	ga_ls7e_ard_3-0-0_114081_2002-03-04_final
2002-03-11 11:40:55	ga_ls7e_ard_3-1-0_115077_2002-03-11_final
2002-03-11 11:41:19	ga_ls7e_ard_3-0-0_115078_2002-03-11_final
2002-03-11 11:41:43	ga_ls7e_ard_3-0-0_115079_2002-03-11_final
2002-03-27 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-03-27_final
2002-03-27 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-03-27_final
2002-03-27 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-03-27_final
2002-04-12 11:40:49	ga_ls7e_ard_3-1-0_115077_2002-04-12_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2002-04-12 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-12_final
2002-05-30 11:40:37	ga_ls7e_ard_3-0-0_115077_2002-05-30_final
2002-05-30 11:41:01	ga_ls7e_ard_3-0-0_115078_2002-05-30_final
2002-05-30 11:41:25	ga_ls7e_ard_3-1-0_115079_2002-05-30_final
2002-07-01 11:40:26	ga_ls7e_ard_3-1-0_115077_2002-07-01_final
2002-07-01 11:40:50	ga_ls7e_ard_3-0-0_115078_2002-07-01_final
2002-07-01 11:41:14	ga_ls7e_ard_3-0-0_115079_2002-07-01_final
2004-01-12 11:40:55	ga_ls7e_ard_3-1-0_115077_2004-01-12_final
2004-01-12 11:41:19	ga_ls7e_ard_3-0-0_115078_2004-01-12_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2008-04-28 11:42:05	ga_ls7e_ard_3-0-0_115077_2008-04-28_final
2008-05-14 11:42:00	ga_ls7e_ard_3-1-0_115077_2008-05-14_final
2008-05-14 11:42:24	ga_ls7e_ard_3-0-0_115078_2008-05-14_final
2008-05-14 11:42:48	ga_ls7e_ard_3-0-0_115079_2008-05-14_final
2019-04-27 11:43:50	ga_ls7e_ard_3-0-0_115078_2019-04-27_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-05-13 11:43:14	ga_ls7e_ard_3-0-0_115078_2019-05-13_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-05-29 11:42:38	ga_ls7e_ard_3-0-0_115078_2019-05-29_final
2019-06-14 11:42:03	ga_ls7e_ard_3-0-0_115078_2019-06-14_final
2019-06-14 11:42:27	ga_ls7e_ard_3-0-0_115079_2019-06-14_final
2019-06-30 11:41:28	ga_ls7e_ard_3-0-0_115078_2019-06-30_final
2019-06-30 11:41:52	ga_ls7e_ard_3-0-0_115079_2019-06-30_final
2019-07-16 11:40:26	ga_ls7e_ard_3-1-0_115077_2019-07-16_final
2019-07-16 11:40:50	ga_ls7e_ard_3-0-0_115078_2019-07-16_final
2019-07-16 11:41:14	ga_ls7e_ard_3-0-0_115079_2019-07-16_final
2019-08-01 11:40:12	ga_ls7e_ard_3-0-0_115078_2019-08-01_final
2019-08-01 11:40:36	ga_ls7e_ard_3-0-0_115079_2019-08-01_final
2019-08-17 11:39:32	ga_ls7e_ard_3-0-0_115078_2019-08-17_final
2019-09-02 11:38:51	ga_ls7e_ard_3-1-0_115078_2019-09-02_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-10-04 11:37:28	ga_ls7e_ard_3-1-0_115078_2019-10-04_final
2019-11-05 11:36:06	ga_ls7e_ard_3-1-0_115078_2019-11-05_final
2019-11-05 11:36:30	ga_ls7e_ard_3-1-0_115079_2019-11-05_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2019-12-23 11:33:46	ga_ls7e_ard_3-1-0_115078_2019-12-23_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-03-28 11:28:45	ga_ls7e_ard_3-1-0_115078_2020-03-28_final
2020-03-28 11:29:09	ga_ls7e_ard_3-1-0_115079_2020-03-28_final
2020-07-02 11:23:04	ga_ls7e_ard_3-1-0_115078_2020-07-02_final
2020-07-02 11:23:28	ga_ls7e_ard_3-1-0_115079_2020-07-02_final
2020-07-18 11:22:06	ga_ls7e_ard_3-1-0_115078_2020-07-18_final
2020-07-18 11:22:30	ga_ls7e_ard_3-1-0_115079_2020-07-18_final
2020-10-22 11:15:56	ga_ls7e_ard_3-1-0_115078_2020-10-22_final
2020-10-22 11:16:20	ga_ls7e_ard_3-1-0_115079_2020-10-22_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-06 10:53:47	ga_ls7e_ard_3-2-0_115079_2021-08-06_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-25 10:46:42	ga_ls7e_ard_3-2-0_115079_2021-10-25_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-10 10:45:12	ga_ls7e_ard_3-2-0_115079_2021-11-10_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-13 10:39:01	ga_ls7e_ard_3-2-1_115079_2022-01-13_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years