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
2002-05-06 09:16:55	ga_ls7e_ard_3-0-0_091088_2002-05-05_final
2002-08-10 09:15:50	ga_ls7e_ard_3-0-0_091087_2002-08-09_final
2002-08-10 09:16:14	ga_ls7e_ard_3-0-0_091088_2002-08-09_final
2004-09-30 09:29:01	ga_ls7e_ard_3-0-0_093088_2004-09-29_final
2004-10-02 09:16:14	ga_ls7e_ard_3-0-0_091087_2004-10-01_final
2004-10-02 09:16:38	ga_ls7e_ard_3-0-0_091088_2004-10-01_final
2004-12-21 09:16:56	ga_ls7e_ard_3-0-0_091087_2004-12-20_final
2004-12-21 09:17:20	ga_ls7e_ard_3-0-0_091088_2004-12-20_final
2005-01-22 09:17:04	ga_ls7e_ard_3-0-0_091087_2005-01-21_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-03-16 09:35:55	ga_ls7e_ard_3-0-0_094087_2005-03-16_final
2005-04-05 09:11:31	ga_ls7e_ard_3-0-0_090088_2005-04-04_final
2005-04-19 09:23:23	ga_ls7e_ard_3-0-0_092087_2005-04-18_final
2005-04-19 09:23:47	ga_ls7e_ard_3-0-0_092088_2005-04-18_final
2005-05-21 09:23:51	ga_ls7e_ard_3-0-0_092088_2005-05-20_final
2005-05-23 09:11:29	ga_ls7e_ard_3-0-0_090088_2005-05-22_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-05-28 09:30:00	ga_ls7e_ard_3-1-0_093088_2005-05-28_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-07-16 09:12:05	ga_ls7e_ard_3-0-0_090088_2007-07-15_final
2007-11-05 09:11:55	ga_ls7e_ard_3-0-0_090088_2007-11-04_final
2007-11-19 09:24:24	ga_ls7e_ard_3-0-0_092088_2007-11-18_final
2007-12-12 09:30:43	ga_ls7e_ard_3-0-0_093088_2007-12-12_final
2007-12-14 09:18:22	ga_ls7e_ard_3-0-0_091088_2007-12-13_final
2008-04-04 09:18:13	ga_ls7e_ard_3-0-0_091088_2008-04-03_final
2008-04-11 09:24:23	ga_ls7e_ard_3-0-0_092088_2008-04-10_final
2008-04-20 09:17:47	ga_ls7e_ard_3-0-0_091087_2008-04-19_final
2008-04-27 09:24:20	ga_ls7e_ard_3-0-0_092088_2008-04-26_final
2018-04-25 09:22:28	ga_ls7e_ard_3-0-0_090088_2018-04-24_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-04-30 09:40:54	ga_ls7e_ard_3-0-0_093088_2018-04-30_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-05-02 09:28:31	ga_ls7e_ard_3-0-0_091088_2018-05-01_final
2018-05-09 09:34:09	ga_ls7e_ard_3-0-0_092087_2018-05-09_final
2018-05-18 09:28:15	ga_ls7e_ard_3-0-0_091088_2018-05-17_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-06-01 09:40:23	ga_ls7e_ard_3-0-0_093088_2018-06-01_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-03 09:28:00	ga_ls7e_ard_3-0-0_091088_2018-06-02_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_final
2018-06-19 09:27:42	ga_ls7e_ard_3-0-0_091088_2018-06-18_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-06-26 09:33:45	ga_ls7e_ard_3-0-0_092088_2018-06-26_final
2018-06-28 09:21:21	ga_ls7e_ard_3-0-0_090088_2018-06-27_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-07-21 09:27:06	ga_ls7e_ard_3-0-0_091088_2018-07-20_final
2018-08-13 09:32:28	ga_ls7e_ard_3-0-0_092087_2018-08-13_final
2018-08-15 09:20:28	ga_ls7e_ard_3-0-0_090088_2018-08-14_final
2018-08-20 09:38:30	ga_ls7e_ard_3-1-0_093087_2018-08-20_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2018-08-29 09:32:08	ga_ls7e_ard_3-0-0_092087_2018-08-29_final
2018-08-29 09:32:32	ga_ls7e_ard_3-0-0_092088_2018-08-29_final
2018-09-05 09:38:10	ga_ls7e_ard_3-0-0_093087_2018-09-05_final
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-14 09:32:12	ga_ls7e_ard_3-0-0_092088_2018-09-14_final
2018-09-16 09:19:47	ga_ls7e_ard_3-0-0_090088_2018-09-15_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-09-21 09:37:49	ga_ls7e_ard_3-1-0_093087_2018-09-21_final
2018-09-21 09:38:13	ga_ls7e_ard_3-0-0_093088_2018-09-21_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-02 09:19:25	ga_ls7e_ard_3-0-0_090088_2018-10-01_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-10-09 09:25:25	ga_ls7e_ard_3-0-0_091088_2018-10-08_final
2018-10-23 09:37:03	ga_ls7e_ard_3-0-0_093087_2018-10-23_final
2018-11-15 09:42:43	ga_ls7e_ard_3-0-0_094087_2018-11-15_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-12-01 09:42:19	ga_ls7e_ard_3-0-0_094087_2018-12-01_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-21 09:17:27	ga_ls7e_ard_3-0-0_090088_2018-12-20_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-13 09:22:56	ga_ls7e_ard_3-0-0_091088_2019-01-12_final
2019-01-20 09:28:29	ga_ls7e_ard_3-0-0_092087_2019-01-19_final
2019-01-20 09:28:53	ga_ls7e_ard_3-0-0_092088_2019-01-19_final
2019-01-22 09:16:27	ga_ls7e_ard_3-0-0_090088_2019-01-21_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-01-27 09:34:50	ga_ls7e_ard_3-0-0_093088_2019-01-27_final
2019-01-29 09:22:00	ga_ls7e_ard_3-0-0_091087_2019-01-28_final
2019-01-29 09:22:24	ga_ls7e_ard_3-0-0_091088_2019-01-28_final
2019-02-03 09:40:24	ga_ls7e_ard_3-0-0_094087_2019-02-03_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-02-21 09:27:54	ga_ls7e_ard_3-1-0_092088_2019-02-20_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-02 09:21:26	ga_ls7e_ard_3-1-0_091088_2019-03-01_final
2019-04-03 09:19:59	ga_ls7e_ard_3-0-0_091087_2019-04-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years