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
2003-04-16 09:10:38	ga_ls7e_ard_3-0-0_090088_2003-04-15_final
2003-04-16 09:11:02	ga_ls7e_ard_3-0-0_090089_2003-04-15_final
2003-05-27 09:04:48	ga_ls7e_ard_3-0-0_089089_2003-05-26_final
2003-07-19 09:22:48	ga_ls7e_ard_3-0-0_092088_2003-07-18_final
2003-07-19 09:23:12	ga_ls7e_ard_3-0-0_092089_2003-07-18_final
2003-08-06 09:10:16	ga_ls7e_ard_3-0-0_090088_2003-08-05_final
2003-08-06 09:10:40	ga_ls7e_ard_3-0-0_090089_2003-08-05_final
2003-09-21 09:22:27	ga_ls7e_ard_3-0-0_092088_2003-09-20_final
2003-11-08 09:23:06	ga_ls7e_ard_3-0-0_092089_2003-11-07_final
2003-11-10 09:10:23	ga_ls7e_ard_3-0-0_090088_2003-11-09_final
2003-11-10 09:10:47	ga_ls7e_ard_3-0-0_090089_2003-11-09_final
2007-12-14 09:18:46	ga_ls7e_ard_3-0-0_091089_2007-12-13_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-06-23 09:18:07	ga_ls7e_ard_3-0-0_091089_2008-06-22_final
2008-07-09 09:17:56	ga_ls7e_ard_3-0-0_091089_2008-07-08_final
2008-07-11 09:05:33	ga_ls7e_ard_3-0-0_089089_2008-07-10_final
2008-07-16 09:24:02	ga_ls7e_ard_3-0-0_092089_2008-07-15_final
2008-07-18 09:11:39	ga_ls7e_ard_3-0-0_090089_2008-07-17_final
2008-07-25 09:17:21	ga_ls7e_ard_3-0-0_091088_2008-07-24_final
2008-07-25 09:17:45	ga_ls7e_ard_3-0-0_091089_2008-07-24_final
2008-08-26 09:17:09	ga_ls7e_ard_3-0-0_091088_2008-08-25_final
2008-08-26 09:17:33	ga_ls7e_ard_3-0-0_091089_2008-08-25_final
2008-09-02 09:23:40	ga_ls7e_ard_3-0-0_092089_2008-09-01_final
2008-09-04 09:11:18	ga_ls7e_ard_3-0-0_090089_2008-09-03_final
2008-09-11 09:17:01	ga_ls7e_ard_3-0-0_091088_2008-09-10_final
2008-09-11 09:17:25	ga_ls7e_ard_3-0-0_091089_2008-09-10_final
2008-09-29 09:04:53	ga_ls7e_ard_3-0-0_089089_2008-09-28_final
2008-10-06 09:10:59	ga_ls7e_ard_3-0-0_090089_2008-10-05_final
2008-10-13 09:17:06	ga_ls7e_ard_3-0-0_091089_2008-10-12_final
2008-10-22 09:11:05	ga_ls7e_ard_3-0-0_090089_2008-10-21_final
2008-11-14 09:17:36	ga_ls7e_ard_3-0-0_091089_2008-11-13_final
2008-11-16 09:05:16	ga_ls7e_ard_3-0-0_089089_2008-11-15_final
2008-12-02 09:05:28	ga_ls7e_ard_3-0-0_089089_2008-12-01_final
2008-12-07 09:24:03	ga_ls7e_ard_3-0-0_092089_2008-12-06_final
2009-01-01 09:18:06	ga_ls7e_ard_3-0-0_091089_2008-12-31_final
2009-01-08 09:24:18	ga_ls7e_ard_3-0-0_092089_2009-01-07_final
2009-02-25 09:24:39	ga_ls7e_ard_3-1-0_092089_2009-02-24_final
2009-03-22 09:18:40	ga_ls7e_ard_3-0-0_091089_2009-03-21_final
2014-03-20 09:25:22	ga_ls7e_ard_3-0-0_091089_2014-03-19_final
2014-04-05 09:25:27	ga_ls7e_ard_3-0-0_091089_2014-04-04_final
2014-04-21 09:25:38	ga_ls7e_ard_3-0-0_091089_2014-04-20_final
2014-04-23 09:13:17	ga_ls7e_ard_3-1-0_089089_2014-04-22_final
2014-07-10 09:26:00	ga_ls7e_ard_3-0-0_091089_2014-07-09_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-07-26 09:26:04	ga_ls7e_ard_3-0-0_091089_2014-07-25_final
2014-07-28 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-07-27_final
2014-08-13 09:13:46	ga_ls7e_ard_3-1-0_089089_2014-08-12_final
2014-08-27 09:26:04	ga_ls7e_ard_3-0-0_091089_2014-08-26_final
2018-01-26 09:29:52	ga_ls7e_ard_3-1-0_091088_2018-01-25_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-02-02 09:35:55	ga_ls7e_ard_3-0-0_092088_2018-02-02_final
2018-02-02 09:36:19	ga_ls7e_ard_3-0-0_092089_2018-02-02_final
2018-03-06 09:35:58	ga_ls7e_ard_3-0-0_092089_2018-03-06_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-03-31 09:29:27	ga_ls7e_ard_3-0-0_091089_2018-03-30_final
2018-04-09 09:23:08	ga_ls7e_ard_3-0-0_090089_2018-04-08_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2018-11-01 09:31:29	ga_ls7e_ard_3-0-0_092089_2018-11-01_final
2018-11-03 09:18:41	ga_ls7e_ard_3-0-0_090088_2018-11-02_final
2018-11-03 09:19:05	ga_ls7e_ard_3-0-0_090089_2018-11-02_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-11-17 09:31:07	ga_ls7e_ard_3-0-0_092089_2018-11-17_final
2018-11-19 09:18:18	ga_ls7e_ard_3-0-0_090088_2018-11-18_final
2018-11-19 09:18:42	ga_ls7e_ard_3-0-0_090089_2018-11-18_final
2018-11-26 09:24:19	ga_ls7e_ard_3-0-0_091088_2018-11-25_final
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-05 09:17:54	ga_ls7e_ard_3-0-0_090088_2018-12-04_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-12 09:24:17	ga_ls7e_ard_3-0-0_091089_2018-12-11_final
2018-12-26 09:35:50	ga_ls7e_ard_3-0-0_093088_2018-12-26_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_final
2019-01-04 09:29:23	ga_ls7e_ard_3-0-0_092088_2019-01-03_final
2019-01-04 09:29:47	ga_ls7e_ard_3-1-0_092089_2019-01-03_final
2019-01-06 09:17:22	ga_ls7e_ard_3-0-0_090089_2019-01-05_final
2019-01-20 09:28:53	ga_ls7e_ard_3-0-0_092088_2019-01-19_final
2019-01-20 09:29:17	ga_ls7e_ard_3-0-0_092089_2019-01-19_final
2019-01-27 09:34:50	ga_ls7e_ard_3-0-0_093088_2019-01-27_final
2019-01-29 09:22:24	ga_ls7e_ard_3-0-0_091088_2019-01-28_final
2019-01-29 09:22:48	ga_ls7e_ard_3-0-0_091089_2019-01-28_final
2019-02-14 09:21:56	ga_ls7e_ard_3-0-0_091088_2019-02-13_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-03-02 09:21:26	ga_ls7e_ard_3-1-0_091088_2019-03-01_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-04-03 09:20:23	ga_ls7e_ard_3-0-0_091088_2019-04-02_final
2019-04-10 09:26:19	ga_ls7e_ard_3-0-0_092088_2019-04-09_final
2019-04-10 09:26:43	ga_ls7e_ard_3-0-0_092089_2019-04-09_final
2019-04-19 09:19:48	ga_ls7e_ard_3-0-0_091088_2019-04-18_final
2019-04-19 09:20:12	ga_ls7e_ard_3-0-0_091089_2019-04-18_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 08:00:10	ga_ls7e_ard_3-2-1_090088_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