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
2003-08-29 09:16:26	ga_ls7e_ard_3-0-0_091088_2003-08-28_final
2003-08-29 09:16:50	ga_ls7e_ard_3-0-0_091089_2003-08-28_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
2007-10-11 09:18:12	ga_ls7e_ard_3-0-0_091089_2007-10-10_final
2007-10-18 09:24:28	ga_ls7e_ard_3-0-0_092089_2007-10-17_final
2007-10-20 09:12:08	ga_ls7e_ard_3-0-0_090089_2007-10-19_final
2007-11-03 09:24:39	ga_ls7e_ard_3-0-0_092089_2007-11-02_final
2007-11-05 09:12:19	ga_ls7e_ard_3-0-0_090089_2007-11-04_final
2007-11-14 09:06:13	ga_ls7e_ard_3-0-0_089089_2007-11-13_final
2007-11-19 09:24:48	ga_ls7e_ard_3-0-0_092089_2007-11-18_final
2007-12-14 09:18:46	ga_ls7e_ard_3-0-0_091089_2007-12-13_final
2008-02-02 09:06:26	ga_ls7e_ard_3-1-0_089089_2008-02-01_final
2008-02-25 09:12:31	ga_ls7e_ard_3-0-0_090089_2008-02-24_final
2008-04-06 09:06:15	ga_ls7e_ard_3-0-0_089089_2008-04-05_final
2008-04-11 09:24:47	ga_ls7e_ard_3-0-0_092089_2008-04-10_final
2008-04-22 09:06:13	ga_ls7e_ard_3-0-0_089089_2008-04-21_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-06-05 09:30:16	ga_ls7e_ard_3-0-0_093088_2008-06-05_final
2008-06-07 09:18:17	ga_ls7e_ard_3-0-0_091089_2008-06-06_final
2008-06-23 09:18:07	ga_ls7e_ard_3-0-0_091089_2008-06-22_final
2008-11-16 09:05:16	ga_ls7e_ard_3-0-0_089089_2008-11-15_final
2008-11-23 09:11:32	ga_ls7e_ard_3-0-0_090089_2008-11-22_final
2009-01-24 09:24:23	ga_ls7e_ard_3-0-0_092089_2009-01-23_final
2009-01-26 09:12:02	ga_ls7e_ard_3-0-0_090089_2009-01-25_final
2009-02-11 09:12:09	ga_ls7e_ard_3-0-0_090089_2009-02-10_final
2009-02-18 09:18:24	ga_ls7e_ard_3-0-0_091089_2009-02-17_final
2009-02-27 09:12:18	ga_ls7e_ard_3-0-0_090089_2009-02-26_final
2009-03-06 09:18:33	ga_ls7e_ard_3-0-0_091089_2009-03-05_final
2009-03-08 09:06:12	ga_ls7e_ard_3-0-0_089089_2009-03-07_final
2009-03-13 09:24:47	ga_ls7e_ard_3-0-0_092089_2009-03-12_final
2009-03-15 09:12:26	ga_ls7e_ard_3-0-0_090089_2009-03-14_final
2014-02-25 09:19:00	ga_ls7e_ard_3-0-0_090089_2014-02-24_final
2014-03-04 09:25:14	ga_ls7e_ard_3-0-0_091089_2014-03-03_final
2014-03-06 09:12:54	ga_ls7e_ard_3-0-0_089089_2014-03-05_final
2014-03-29 09:19:14	ga_ls7e_ard_3-0-0_090089_2014-03-28_final
2014-04-05 09:25:27	ga_ls7e_ard_3-0-0_091089_2014-04-04_final
2014-04-07 09:13:05	ga_ls7e_ard_3-1-0_089089_2014-04-06_final
2014-04-12 09:31:41	ga_ls7e_ard_3-0-0_092089_2014-04-12_final
2014-04-14 09:19:21	ga_ls7e_ard_3-0-0_090089_2014-04-13_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
2014-04-28 09:31:51	ga_ls7e_ard_3-0-0_092089_2014-04-28_final
2014-04-30 09:19:30	ga_ls7e_ard_3-0-0_090089_2014-04-29_final
2014-05-23 09:25:50	ga_ls7e_ard_3-0-0_091089_2014-05-22_final
2014-05-25 09:13:28	ga_ls7e_ard_3-1-0_089089_2014-05-24_final
2014-05-30 09:32:02	ga_ls7e_ard_3-0-0_092089_2014-05-30_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-07-08 09:37:57	ga_ls7e_ard_3-0-0_093088_2014-07-08_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-07-17 09:31:46	ga_ls7e_ard_3-0-0_092088_2014-07-17_final
2014-07-17 09:32:10	ga_ls7e_ard_3-0-0_092089_2014-07-17_final
2014-07-19 09:19:26	ga_ls7e_ard_3-0-0_090088_2014-07-18_final
2014-07-19 09:19:50	ga_ls7e_ard_3-0-0_090089_2014-07-18_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
2014-08-18 09:31:53	ga_ls7e_ard_3-0-0_092088_2014-08-18_final
2014-08-18 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-08-18_final
2014-08-27 09:26:04	ga_ls7e_ard_3-0-0_091089_2014-08-26_final
2014-08-29 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-08-28_final
2014-09-05 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-09-04_final
2018-11-10 09:24:42	ga_ls7e_ard_3-0-0_091088_2018-11-09_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2019-01-11 09:35:21	ga_ls7e_ard_3-0-0_093088_2019-01-11_final
2019-01-13 09:22:56	ga_ls7e_ard_3-0-0_091088_2019-01-12_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_2019-01-12_final
2019-02-05 09:28:47	ga_ls7e_ard_3-0-0_092089_2019-02-04_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_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
2019-04-12 09:13:53	ga_ls7e_ard_3-0-0_090088_2019-04-11_final
2019-04-12 09:14:17	ga_ls7e_ard_3-0-0_090089_2019-04-11_final
2022-01-28 08:19:01	ga_ls7e_ard_3-2-1_092088_2022-01-27_final
2022-01-28 08:19:25	ga_ls7e_ard_3-2-1_092089_2022-01-27_final
2022-01-30 08:06:28	ga_ls7e_ard_3-2-1_090088_2022-01-29_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-02-04 08:24:30	ga_ls7e_ard_3-2-1_093088_2022-02-03_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-22 08:10:20	ga_ls7e_ard_3-2-1_091088_2022-02-21_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-17 08:14:38	ga_ls7e_ard_3-2-1_092089_2022-03-16_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