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:

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First 100 results (query limit)

Time (local)	Label
2014-01-25 09:54:20	ga_ls7e_ard_3-0-0_097069_2014-01-25_final
2014-02-10 09:54:25	ga_ls7e_ard_3-0-0_097069_2014-02-10_final
2014-03-30 09:54:32	ga_ls7e_ard_3-0-0_097069_2014-03-30_final
2014-05-01 09:54:47	ga_ls7e_ard_3-0-0_097069_2014-05-01_final
2014-05-17 09:54:54	ga_ls7e_ard_3-0-0_097069_2014-05-17_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-07-20 09:55:07	ga_ls7e_ard_3-0-0_097069_2014-07-20_final
2014-08-21 09:55:12	ga_ls7e_ard_3-0-0_097069_2014-08-21_final
2014-09-22 09:55:18	ga_ls7e_ard_3-0-0_097069_2014-09-22_final
2014-10-08 09:55:30	ga_ls7e_ard_3-0-0_097069_2014-10-08_final
2014-10-24 09:55:39	ga_ls7e_ard_3-0-0_097069_2014-10-24_final
2014-11-09 09:55:49	ga_ls7e_ard_3-0-0_097069_2014-11-09_final
2014-12-11 09:55:59	ga_ls7e_ard_3-0-0_097069_2014-12-11_final
2015-03-01 09:56:26	ga_ls7e_ard_3-0-0_097069_2015-03-01_final
2015-03-17 09:56:33	ga_ls7e_ard_3-0-0_097069_2015-03-17_final
2015-05-04 09:56:53	ga_ls7e_ard_3-0-0_097069_2015-05-04_final
2015-06-05 09:57:07	ga_ls7e_ard_3-0-0_097069_2015-06-05_final
2015-06-21 09:57:11	ga_ls7e_ard_3-0-0_097069_2015-06-21_final
2015-07-07 09:57:16	ga_ls7e_ard_3-0-0_097069_2015-07-07_final
2015-09-09 09:57:27	ga_ls7e_ard_3-0-0_097069_2015-09-09_final
2015-09-25 09:57:32	ga_ls7e_ard_3-0-0_097069_2015-09-25_final
2015-10-11 09:57:41	ga_ls7e_ard_3-0-0_097069_2015-10-11_final
2015-11-12 09:58:13	ga_ls7e_ard_3-0-0_097069_2015-11-12_final
2016-01-31 09:59:22	ga_ls7e_ard_3-0-0_097069_2016-01-31_final
2016-02-16 09:59:26	ga_ls7e_ard_3-0-0_097069_2016-02-16_final
2016-03-03 09:59:33	ga_ls7e_ard_3-0-0_097069_2016-03-03_final
2016-04-20 09:59:52	ga_ls7e_ard_3-0-0_097069_2016-04-20_final
2016-06-07 10:00:06	ga_ls7e_ard_3-0-0_097069_2016-06-07_final
2016-07-09 10:00:07	ga_ls7e_ard_3-0-0_097069_2016-07-09_final
2016-07-25 10:00:10	ga_ls7e_ard_3-0-0_097069_2016-07-25_final
2016-08-26 10:00:14	ga_ls7e_ard_3-0-0_097069_2016-08-26_final
2016-09-27 10:00:19	ga_ls7e_ard_3-0-0_097069_2016-09-27_final
2016-10-13 10:00:19	ga_ls7e_ard_3-0-0_097069_2016-10-13_final
2016-10-29 10:00:15	ga_ls7e_ard_3-0-0_097069_2016-10-29_final
2016-11-14 10:00:07	ga_ls7e_ard_3-0-0_097069_2016-11-14_final
2016-11-30 10:00:05	ga_ls7e_ard_3-0-0_097069_2016-11-30_final
2017-05-09 10:00:02	ga_ls7e_ard_3-0-0_097069_2017-05-09_final
2017-05-25 10:00:05	ga_ls7e_ard_3-0-0_097069_2017-05-25_final
2017-06-26 10:00:13	ga_ls7e_ard_3-0-0_097069_2017-06-26_final
2017-07-12 10:00:14	ga_ls7e_ard_3-0-0_097069_2017-07-12_final
2017-07-28 10:00:13	ga_ls7e_ard_3-0-0_097069_2017-07-28_final
2017-08-13 10:00:10	ga_ls7e_ard_3-0-0_097069_2017-08-13_final
2017-09-14 10:00:09	ga_ls7e_ard_3-0-0_097069_2017-09-14_final
2017-09-30 10:00:10	ga_ls7e_ard_3-0-0_097069_2017-09-30_final
2017-11-01 10:00:12	ga_ls7e_ard_3-0-0_097069_2017-11-01_final
2017-11-17 10:00:09	ga_ls7e_ard_3-0-0_097069_2017-11-17_final
2017-12-03 10:00:03	ga_ls7e_ard_3-0-0_097069_2017-12-03_final
2017-12-19 09:59:53	ga_ls7e_ard_3-0-0_097069_2017-12-19_final
2018-01-04 09:59:42	ga_ls7e_ard_3-0-0_097069_2018-01-04_final
2018-02-05 09:59:11	ga_ls7e_ard_3-0-0_097069_2018-02-05_final
2018-02-21 09:59:02	ga_ls7e_ard_3-0-0_097069_2018-02-21_final
2018-04-10 09:58:24	ga_ls7e_ard_3-0-0_097069_2018-04-10_final
2018-04-26 09:58:07	ga_ls7e_ard_3-0-0_097069_2018-04-26_final
2018-05-28 09:57:35	ga_ls7e_ard_3-0-0_097069_2018-05-28_final
2018-06-13 09:57:19	ga_ls7e_ard_3-0-0_097069_2018-06-13_final
2018-07-31 09:56:25	ga_ls7e_ard_3-0-0_097069_2018-07-31_final
2018-09-01 09:55:48	ga_ls7e_ard_3-0-0_097069_2018-09-01_final
2018-09-17 09:55:27	ga_ls7e_ard_3-0-0_097069_2018-09-17_final
2018-10-03 09:55:04	ga_ls7e_ard_3-0-0_097069_2018-10-03_final
2018-10-19 09:54:40	ga_ls7e_ard_3-0-0_097069_2018-10-19_final
2018-12-06 09:53:33	ga_ls7e_ard_3-0-0_097069_2018-12-06_final
2018-12-22 09:53:06	ga_ls7e_ard_3-0-0_097069_2018-12-22_final
2019-01-07 09:52:37	ga_ls7e_ard_3-0-0_097069_2019-01-07_final
2019-02-24 09:51:08	ga_ls7e_ard_3-1-0_097069_2019-02-24_final
2019-03-28 09:50:05	ga_ls7e_ard_3-1-0_097069_2019-03-28_final
2019-06-16 09:47:09	ga_ls7e_ard_3-0-0_097069_2019-06-16_final
2019-07-02 09:46:33	ga_ls7e_ard_3-0-0_097069_2019-07-02_final
2019-07-18 09:45:56	ga_ls7e_ard_3-0-0_097069_2019-07-18_final
2019-08-19 09:44:37	ga_ls7e_ard_3-0-0_097069_2019-08-19_final
2019-10-06 09:42:33	ga_ls7e_ard_3-1-0_097069_2019-10-06_final
2019-11-23 09:40:26	ga_ls7e_ard_3-1-0_097069_2019-11-23_final
2019-12-25 09:38:50	ga_ls7e_ard_3-1-0_097069_2019-12-25_final
2020-01-26 09:37:13	ga_ls7e_ard_3-1-0_097069_2020-01-26_final
2020-02-11 09:36:24	ga_ls7e_ard_3-1-0_097069_2020-02-11_final
2020-02-27 09:35:34	ga_ls7e_ard_3-1-0_097069_2020-02-27_final
2020-03-14 09:34:42	ga_ls7e_ard_3-1-0_097069_2020-03-14_final
2020-05-01 09:31:56	ga_ls7e_ard_3-1-0_097069_2020-05-01_final
2020-05-17 09:30:58	ga_ls7e_ard_3-1-0_097069_2020-05-17_final
2020-07-20 09:27:09	ga_ls7e_ard_3-1-0_097069_2020-07-19_final
2020-08-05 09:26:09	ga_ls7e_ard_3-1-0_097069_2020-08-04_final
2020-08-21 09:25:08	ga_ls7e_ard_3-1-0_097069_2020-08-20_final
2020-10-08 09:22:00	ga_ls7e_ard_3-1-0_097069_2020-10-07_final
2020-10-24 09:20:58	ga_ls7e_ard_3-1-0_097069_2020-10-23_final
2020-11-25 09:18:46	ga_ls7e_ard_3-1-0_097069_2020-11-24_final
2021-02-13 09:12:57	ga_ls7e_ard_3-2-0_097069_2021-02-12_final
2021-05-04 09:06:30	ga_ls7e_ard_3-2-0_097069_2021-05-03_final
2021-06-05 09:03:47	ga_ls7e_ard_3-2-0_097069_2021-06-04_final
2021-06-21 09:02:29	ga_ls7e_ard_3-2-0_097069_2021-06-20_final
2021-07-23 08:59:47	ga_ls7e_ard_3-2-0_097069_2021-07-22_final
2021-08-08 08:58:22	ga_ls7e_ard_3-2-0_097069_2021-08-07_final
2021-08-24 08:56:58	ga_ls7e_ard_3-2-0_097069_2021-08-23_final
2021-10-11 08:52:44	ga_ls7e_ard_3-2-0_097069_2021-10-10_final
2021-10-27 08:51:17	ga_ls7e_ard_3-2-0_097069_2021-10-26_final
2021-11-12 08:49:46	ga_ls7e_ard_3-2-0_097069_2021-11-11_final
2021-11-28 08:48:14	ga_ls7e_ard_3-2-1_097069_2021-11-27_final
2021-12-14 08:46:43	ga_ls7e_ard_3-2-1_097069_2021-12-13_final
2022-01-15 08:43:36	ga_ls7e_ard_3-2-1_097069_2022-01-14_final
2022-02-16 08:40:24	ga_ls7e_ard_3-2-1_097069_2022-02-15_final
2022-03-04 08:38:52	ga_ls7e_ard_3-2-1_097069_2022-03-03_final
2022-03-20 08:37:16	ga_ls7e_ard_3-2-1_097069_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