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
2010-05-22 09:54:52	ga_ls7e_ard_3-0-0_097082_2010-05-22_final
2010-07-09 09:54:58	ga_ls7e_ard_3-0-0_097082_2010-07-09_final
2010-08-26 09:55:01	ga_ls7e_ard_3-0-0_097082_2010-08-26_final
2010-09-27 09:55:02	ga_ls7e_ard_3-0-0_097082_2010-09-27_final
2011-01-17 09:56:04	ga_ls7e_ard_3-0-0_097082_2011-01-17_final
2011-03-06 09:56:18	ga_ls7e_ard_3-0-0_097082_2011-03-06_final
2011-05-09 09:56:21	ga_ls7e_ard_3-0-0_097082_2011-05-09_final
2012-01-04 09:56:46	ga_ls7e_ard_3-0-0_097082_2012-01-04_final
2012-02-21 09:56:53	ga_ls7e_ard_3-0-0_097082_2012-02-21_final
2012-03-08 09:56:50	ga_ls7e_ard_3-0-0_097082_2012-03-08_final
2012-09-16 09:58:11	ga_ls7e_ard_3-0-0_097082_2012-09-16_final
2012-10-02 09:58:22	ga_ls7e_ard_3-0-0_097082_2012-10-02_final
2012-10-18 09:58:31	ga_ls7e_ard_3-0-0_097082_2012-10-18_final
2012-11-03 09:58:36	ga_ls7e_ard_3-0-0_097082_2012-11-03_final
2012-11-19 09:58:44	ga_ls7e_ard_3-0-0_097082_2012-11-19_final
2012-12-05 09:58:43	ga_ls7e_ard_3-0-0_097082_2012-12-05_final
2012-12-21 09:58:53	ga_ls7e_ard_3-0-0_097082_2012-12-21_final
2013-01-22 09:58:56	ga_ls7e_ard_3-0-0_097082_2013-01-22_final
2013-02-07 09:58:58	ga_ls7e_ard_3-0-0_097082_2013-02-07_final
2013-02-23 09:58:55	ga_ls7e_ard_3-0-0_097082_2013-02-23_final
2013-03-11 09:58:54	ga_ls7e_ard_3-0-0_097082_2013-03-11_final
2013-03-27 09:58:47	ga_ls7e_ard_3-0-0_097082_2013-03-27_final
2013-04-28 09:58:40	ga_ls7e_ard_3-0-0_097082_2013-04-28_final
2013-05-14 09:58:38	ga_ls7e_ard_3-0-0_097082_2013-05-14_final
2013-06-15 09:58:25	ga_ls7e_ard_3-0-0_097082_2013-06-15_final
2013-07-01 09:58:17	ga_ls7e_ard_3-0-0_097082_2013-07-01_final
2013-07-17 09:58:08	ga_ls7e_ard_3-0-0_097082_2013-07-17_final
2013-08-02 09:58:00	ga_ls7e_ard_3-0-0_097082_2013-08-02_final
2013-08-18 09:58:04	ga_ls7e_ard_3-0-0_097082_2013-08-18_final
2013-09-03 09:58:16	ga_ls7e_ard_3-0-0_097082_2013-09-03_final
2013-10-05 09:58:37	ga_ls7e_ard_3-0-0_097082_2013-10-05_final
2013-10-21 09:58:48	ga_ls7e_ard_3-0-0_097082_2013-10-21_final
2013-11-06 09:58:53	ga_ls7e_ard_3-0-0_097082_2013-11-06_final
2013-11-22 09:58:57	ga_ls7e_ard_3-0-0_097082_2013-11-22_final
2013-12-08 09:59:06	ga_ls7e_ard_3-0-0_097082_2013-12-08_final
2014-01-09 09:59:11	ga_ls7e_ard_3-0-0_097082_2014-01-09_final
2014-02-10 09:59:36	ga_ls7e_ard_3-0-0_097082_2014-02-10_final
2014-02-26 09:59:28	ga_ls7e_ard_3-0-0_097082_2014-02-26_final
2014-03-14 09:59:36	ga_ls7e_ard_3-0-0_097082_2014-03-14_final
2014-03-30 09:59:43	ga_ls7e_ard_3-0-0_097082_2014-03-30_final
2014-04-15 09:59:49	ga_ls7e_ard_3-0-0_097082_2014-04-15_final
2014-05-17 10:00:05	ga_ls7e_ard_3-0-0_097082_2014-05-17_final
2014-07-04 10:00:16	ga_ls7e_ard_3-0-0_097082_2014-07-04_final
2014-07-20 10:00:18	ga_ls7e_ard_3-0-0_097082_2014-07-20_final
2014-08-05 10:00:24	ga_ls7e_ard_3-0-0_097082_2014-08-05_final
2014-10-08 10:00:41	ga_ls7e_ard_3-0-0_097082_2014-10-08_final
2014-10-24 10:00:51	ga_ls7e_ard_3-0-0_097082_2014-10-24_final
2014-11-09 10:01:00	ga_ls7e_ard_3-0-0_097082_2014-11-09_final
2019-03-12 09:55:48	ga_ls7e_ard_3-1-0_097082_2019-03-12_final
2019-05-31 09:52:55	ga_ls7e_ard_3-0-0_097082_2019-05-31_final
2019-06-16 09:52:20	ga_ls7e_ard_3-0-0_097082_2019-06-16_final
2019-07-02 09:51:44	ga_ls7e_ard_3-0-0_097082_2019-07-02_final
2019-08-03 09:50:28	ga_ls7e_ard_3-0-0_097082_2019-08-03_final
2019-08-19 09:49:48	ga_ls7e_ard_3-0-0_097082_2019-08-19_final
2019-09-20 09:48:25	ga_ls7e_ard_3-1-0_097082_2019-09-20_final
2019-10-22 09:47:04	ga_ls7e_ard_3-1-0_097082_2019-10-22_final
2019-11-07 09:46:22	ga_ls7e_ard_3-1-0_097082_2019-11-07_final
2019-12-09 09:44:50	ga_ls7e_ard_3-1-0_097082_2019-12-09_final
2019-12-25 09:44:01	ga_ls7e_ard_3-1-0_097082_2019-12-25_final
2020-01-10 09:43:11	ga_ls7e_ard_3-1-0_097082_2020-01-10_final
2020-02-11 09:41:35	ga_ls7e_ard_3-1-0_097082_2020-02-11_final
2020-03-14 09:39:53	ga_ls7e_ard_3-1-0_097082_2020-03-14_final
2020-03-30 09:39:00	ga_ls7e_ard_3-1-0_097082_2020-03-30_final
2020-05-01 09:37:08	ga_ls7e_ard_3-1-0_097082_2020-05-01_final
2020-05-17 09:36:09	ga_ls7e_ard_3-1-0_097082_2020-05-17_final
2020-06-18 09:34:15	ga_ls7e_ard_3-1-0_097082_2020-06-18_final
2020-07-04 09:33:18	ga_ls7e_ard_3-1-0_097082_2020-07-04_final
2020-07-20 09:32:20	ga_ls7e_ard_3-1-0_097082_2020-07-20_final
2020-08-05 09:31:20	ga_ls7e_ard_3-1-0_097082_2020-08-05_final
2020-08-21 09:30:19	ga_ls7e_ard_3-1-0_097082_2020-08-21_final
2020-09-22 09:28:12	ga_ls7e_ard_3-1-0_097082_2020-09-21_final
2020-11-25 09:23:57	ga_ls7e_ard_3-1-0_097082_2020-11-24_final
2020-12-11 09:22:46	ga_ls7e_ard_3-1-0_097082_2020-12-10_final
2020-12-27 09:21:35	ga_ls7e_ard_3-1-0_097082_2020-12-26_final
2021-01-12 09:20:29	ga_ls7e_ard_3-1-0_097082_2021-01-11_final
2021-02-13 09:18:08	ga_ls7e_ard_3-2-0_097082_2021-02-12_final
2021-03-01 09:16:55	ga_ls7e_ard_3-2-0_097082_2021-02-28_final
2021-03-17 09:15:40	ga_ls7e_ard_3-2-0_097082_2021-03-16_final
2021-04-02 09:14:22	ga_ls7e_ard_3-2-0_097082_2021-04-01_final
2021-04-18 09:13:02	ga_ls7e_ard_3-2-0_097082_2021-04-17_final
2021-05-04 09:11:41	ga_ls7e_ard_3-2-0_097082_2021-05-03_final
2021-05-20 09:10:20	ga_ls7e_ard_3-2-0_097082_2021-05-19_final
2021-06-05 09:08:59	ga_ls7e_ard_3-2-0_097082_2021-06-04_final
2021-06-21 09:07:40	ga_ls7e_ard_3-2-0_097082_2021-06-20_final
2021-07-07 09:06:20	ga_ls7e_ard_3-2-0_097082_2021-07-06_final
2021-07-23 09:04:58	ga_ls7e_ard_3-2-0_097082_2021-07-22_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-24 09:02:09	ga_ls7e_ard_3-2-0_097082_2021-08-23_final
2021-09-09 09:00:46	ga_ls7e_ard_3-2-0_097082_2021-09-08_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-10-11 08:57:55	ga_ls7e_ard_3-2-0_097082_2021-10-10_final
2021-10-27 08:56:29	ga_ls7e_ard_3-2-0_097082_2021-10-26_final
2021-11-28 08:53:25	ga_ls7e_ard_3-2-1_097082_2021-11-27_final
2021-12-14 08:51:54	ga_ls7e_ard_3-2-1_097082_2021-12-13_final
2021-12-30 08:50:20	ga_ls7e_ard_3-2-1_097082_2021-12-29_final
2022-01-15 08:48:47	ga_ls7e_ard_3-2-1_097082_2022-01-14_final
2022-01-31 08:47:14	ga_ls7e_ard_3-2-1_097082_2022-01-30_final
2022-02-16 08:45:35	ga_ls7e_ard_3-2-1_097082_2022-02-15_final
2022-03-04 08:44:03	ga_ls7e_ard_3-2-1_097082_2022-03-03_final
2022-03-20 08:42:27	ga_ls7e_ard_3-2-1_097082_2022-03-19_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