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
1999-08-11 09:15:35	ga_ls7e_ard_3-0-0_090090_1999-08-10_final
1999-08-20 09:09:21	ga_ls7e_ard_3-0-0_089090_1999-08-19_final
1999-08-27 09:15:37	ga_ls7e_ard_3-0-0_090090_1999-08-26_final
1999-09-12 09:15:33	ga_ls7e_ard_3-0-0_090090_1999-09-11_final
1999-09-19 09:21:44	ga_ls7e_ard_3-0-0_091090_1999-09-18_final
1999-09-21 09:09:25	ga_ls7e_ard_3-0-0_089090_1999-09-20_final
1999-09-28 09:15:41	ga_ls7e_ard_3-0-0_090090_1999-09-27_final
1999-10-30 09:15:34	ga_ls7e_ard_3-0-0_090090_1999-10-29_final
1999-11-15 09:15:35	ga_ls7e_ard_3-0-0_090090_1999-11-14_final
1999-11-24 09:09:16	ga_ls7e_ard_3-0-0_089090_1999-11-23_final
1999-11-29 09:27:49	ga_ls7e_ard_3-0-0_092090_1999-11-28_final
1999-12-01 09:15:28	ga_ls7e_ard_3-0-0_090090_1999-11-30_final
1999-12-10 09:09:26	ga_ls7e_ard_3-0-0_089090_1999-12-09_final
1999-12-17 09:15:38	ga_ls7e_ard_3-0-0_090090_1999-12-16_final
2000-01-16 09:27:51	ga_ls7e_ard_3-0-0_092090_2000-01-15_final
2000-02-03 09:15:28	ga_ls7e_ard_3-0-0_090090_2000-02-02_final
2000-02-10 09:21:36	ga_ls7e_ard_3-0-0_091090_2000-02-09_final
2000-02-17 09:27:45	ga_ls7e_ard_3-0-0_092090_2000-02-16_final
2000-03-06 09:15:17	ga_ls7e_ard_3-0-0_090090_2000-03-05_final
2000-10-23 09:19:07	ga_ls7e_ard_3-0-0_091090_2000-10-22_final
2000-11-26 09:06:51	ga_ls7e_ard_3-0-0_089090_2000-11-25_final
2001-01-27 09:19:23	ga_ls7e_ard_3-0-0_091090_2001-01-26_final
2001-01-29 09:07:01	ga_ls7e_ard_3-0-0_089090_2001-01-28_final
2001-02-03 09:25:30	ga_ls7e_ard_3-1-0_092090_2001-02-02_final
2001-04-19 09:06:37	ga_ls7e_ard_3-0-0_089090_2001-04-18_final
2002-01-30 09:17:38	ga_ls7e_ard_3-0-0_091090_2002-01-29_final
2002-02-01 09:05:19	ga_ls7e_ard_3-0-0_089090_2002-01-31_final
2002-03-12 09:11:36	ga_ls7e_ard_3-0-0_090090_2002-03-11_final
2002-03-28 09:11:30	ga_ls7e_ard_3-0-0_090090_2002-03-27_final
2002-07-25 09:17:07	ga_ls7e_ard_3-0-0_091090_2002-07-24_final
2007-02-13 09:19:17	ga_ls7e_ard_3-0-0_091090_2007-02-12_final
2007-03-19 09:07:02	ga_ls7e_ard_3-0-0_089090_2007-03-18_final
2007-04-20 09:07:00	ga_ls7e_ard_3-0-0_089090_2007-04-19_final
2007-05-04 09:19:18	ga_ls7e_ard_3-0-0_091090_2007-05-03_final
2007-05-06 09:06:56	ga_ls7e_ard_3-0-0_089090_2007-05-05_final
2007-05-22 09:06:49	ga_ls7e_ard_3-0-0_089090_2007-05-21_final
2007-07-25 09:06:40	ga_ls7e_ard_3-0-0_089090_2007-07-24_final
2007-08-26 09:06:28	ga_ls7e_ard_3-0-0_089090_2007-08-25_final
2007-09-02 09:12:36	ga_ls7e_ard_3-0-0_090090_2007-09-01_final
2007-09-09 09:18:43	ga_ls7e_ard_3-0-0_091090_2007-09-08_final
2007-09-18 09:12:29	ga_ls7e_ard_3-0-0_090090_2007-09-17_final
2007-10-11 09:18:36	ga_ls7e_ard_3-0-0_091090_2007-10-10_final
2007-11-12 09:18:57	ga_ls7e_ard_3-0-0_091090_2007-11-11_final
2007-12-16 09:06:49	ga_ls7e_ard_3-0-0_089090_2007-12-15_final
2008-02-25 09:12:55	ga_ls7e_ard_3-0-0_090090_2008-02-24_final
2008-03-03 09:19:03	ga_ls7e_ard_3-0-0_091090_2008-03-02_final
2008-03-05 09:06:41	ga_ls7e_ard_3-0-0_089090_2008-03-04_final
2008-03-19 09:19:00	ga_ls7e_ard_3-0-0_091090_2008-03-18_final
2008-03-21 09:06:39	ga_ls7e_ard_3-0-0_089090_2008-03-20_final
2008-04-29 09:12:46	ga_ls7e_ard_3-0-0_090090_2008-04-28_final
2013-01-21 09:18:52	ga_ls7e_ard_3-0-0_090090_2013-01-20_final
2013-06-21 09:24:30	ga_ls7e_ard_3-0-0_091090_2013-06-20_final
2013-08-01 09:17:56	ga_ls7e_ard_3-0-0_090090_2013-07-31_final
2017-12-18 09:25:01	ga_ls7e_ard_3-0-0_090090_2017-12-17_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-01-26 09:30:40	ga_ls7e_ard_3-0-0_091090_2018-01-26_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-02-27 09:30:16	ga_ls7e_ard_3-0-0_091090_2018-02-27_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_final
2018-12-28 09:24:13	ga_ls7e_ard_3-0-0_091090_2018-12-27_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2020-07-26 08:58:04	ga_ls7e_ard_3-1-0_091090_2020-07-25_final
2020-08-04 08:51:20	ga_ls7e_ard_3-1-0_090090_2020-08-03_final
2020-08-11 08:57:04	ga_ls7e_ard_3-1-0_091090_2020-08-10_final
2020-08-20 08:50:19	ga_ls7e_ard_3-1-0_090090_2020-08-19_final
2020-09-05 08:49:16	ga_ls7e_ard_3-1-0_090090_2020-09-04_final
2020-09-12 08:54:59	ga_ls7e_ard_3-1-0_091090_2020-09-11_final
2020-09-21 08:48:12	ga_ls7e_ard_3-1-0_090090_2020-09-20_final
2020-10-07 08:47:11	ga_ls7e_ard_3-1-0_090090_2020-10-06_final
2020-10-14 08:52:55	ga_ls7e_ard_3-1-0_091090_2020-10-13_final
2020-10-30 08:51:52	ga_ls7e_ard_3-1-0_091090_2020-10-29_final
2020-11-08 08:45:05	ga_ls7e_ard_3-1-0_090090_2020-11-07_final
2020-11-24 08:43:57	ga_ls7e_ard_3-1-0_090090_2020-11-23_final
2020-12-10 08:42:47	ga_ls7e_ard_3-1-0_090090_2020-12-09_final
2020-12-26 08:41:35	ga_ls7e_ard_3-1-0_090090_2020-12-25_final
2021-01-02 08:47:17	ga_ls7e_ard_3-1-0_091090_2021-01-01_final
2021-02-03 08:45:00	ga_ls7e_ard_3-2-0_091090_2021-02-02_final
2021-02-12 08:38:09	ga_ls7e_ard_3-2-0_090090_2021-02-11_final
2021-02-19 08:43:48	ga_ls7e_ard_3-2-0_091090_2021-02-18_final
2021-02-28 08:36:56	ga_ls7e_ard_3-2-0_090090_2021-02-27_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_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