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
2008-04-28 11:40:53	ga_ls7e_ard_3-0-0_115074_2008-04-28_final
2008-04-28 11:41:17	ga_ls7e_ard_3-0-0_115075_2008-04-28_final
2008-04-28 11:41:41	ga_ls7e_ard_3-0-0_115076_2008-04-28_final
2008-04-28 11:42:05	ga_ls7e_ard_3-0-0_115077_2008-04-28_final
2008-04-30 11:31:19	ga_ls7e_ard_3-0-0_113081_2008-04-30_final
2008-04-30 11:31:43	ga_ls7e_ard_3-0-0_113082_2008-04-30_final
2008-04-30 11:32:07	ga_ls7e_ard_3-0-0_113083_2008-04-30_final
2008-04-30 11:32:31	ga_ls7e_ard_3-0-0_113084_2008-04-30_final
2008-08-11 11:34:37	ga_ls7e_ard_3-0-0_114076_2008-08-11_final
2008-08-11 11:35:01	ga_ls7e_ard_3-0-0_114077_2008-08-11_final
2008-08-11 11:35:25	ga_ls7e_ard_3-0-0_114078_2008-08-11_final
2008-08-11 11:35:48	ga_ls7e_ard_3-0-0_114079_2008-08-11_final
2008-08-11 11:36:12	ga_ls7e_ard_3-0-0_114080_2008-08-11_final
2008-08-11 11:36:36	ga_ls7e_ard_3-0-0_114081_2008-08-11_final
2008-08-13 11:25:26	ga_ls7e_ard_3-0-0_112084_2008-08-13_final
2008-08-27 11:34:54	ga_ls7e_ard_3-0-0_114077_2008-08-27_final
2008-08-27 11:35:18	ga_ls7e_ard_3-0-0_114078_2008-08-27_final
2008-08-27 11:35:42	ga_ls7e_ard_3-0-0_114079_2008-08-27_final
2008-08-27 11:36:29	ga_ls7e_ard_3-0-0_114081_2008-08-27_final
2008-08-29 11:25:19	ga_ls7e_ard_3-0-0_112084_2008-08-29_final
2008-10-21 11:39:35	ga_ls7e_ard_3-0-0_115074_2008-10-21_final
2008-10-21 11:39:59	ga_ls7e_ard_3-0-0_115075_2008-10-21_final
2008-10-21 11:40:23	ga_ls7e_ard_3-0-0_115076_2008-10-21_final
2008-10-21 11:40:47	ga_ls7e_ard_3-1-0_115077_2008-10-21_final
2008-10-21 11:41:11	ga_ls7e_ard_3-0-0_115078_2008-10-21_final
2008-10-30 11:34:21	ga_ls7e_ard_3-0-0_114076_2008-10-30_final
2008-10-30 11:34:45	ga_ls7e_ard_3-0-0_114077_2008-10-30_final
2008-10-30 11:35:09	ga_ls7e_ard_3-0-0_114078_2008-10-30_final
2008-10-30 11:35:32	ga_ls7e_ard_3-0-0_114079_2008-10-30_final
2008-10-30 11:35:56	ga_ls7e_ard_3-0-0_114080_2008-10-30_final
2009-01-18 11:35:08	ga_ls7e_ard_3-0-0_114076_2009-01-18_final
2009-01-18 11:35:32	ga_ls7e_ard_3-0-0_114077_2009-01-18_final
2009-01-18 11:35:56	ga_ls7e_ard_3-0-0_114078_2009-01-18_final
2009-01-18 11:36:20	ga_ls7e_ard_3-0-0_114079_2009-01-18_final
2009-01-20 11:25:59	ga_ls7e_ard_3-1-0_112084_2009-01-20_final
2009-04-08 11:35:44	ga_ls7e_ard_3-0-0_114076_2009-04-08_final
2009-04-08 11:36:08	ga_ls7e_ard_3-0-0_114077_2009-04-08_final
2009-04-08 11:36:32	ga_ls7e_ard_3-0-0_114078_2009-04-08_final
2009-04-08 11:36:56	ga_ls7e_ard_3-0-0_114079_2009-04-08_final
2009-04-08 11:37:20	ga_ls7e_ard_3-0-0_114080_2009-04-08_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-01 11:27:07	ga_ls7e_ard_3-1-0_114078_2020-01-01_final
2020-01-01 11:27:31	ga_ls7e_ard_3-1-0_114079_2020-01-01_final
2020-01-01 11:27:55	ga_ls7e_ard_3-1-0_114080_2020-01-01_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-05-17 11:14:38	ga_ls7e_ard_3-1-0_113081_2020-05-17_final
2020-05-17 11:15:02	ga_ls7e_ard_3-1-0_113082_2020-05-17_final
2020-05-17 11:15:26	ga_ls7e_ard_3-1-0_113083_2020-05-17_final
2020-05-17 11:15:50	ga_ls7e_ard_3-1-0_113084_2020-05-17_final
2020-06-25 11:16:54	ga_ls7e_ard_3-1-0_114077_2020-06-25_final
2020-06-25 11:17:18	ga_ls7e_ard_3-1-0_114078_2020-06-25_final
2020-06-25 11:17:42	ga_ls7e_ard_3-1-0_114079_2020-06-25_final
2020-06-25 11:18:06	ga_ls7e_ard_3-1-0_114080_2020-06-25_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2020-12-25 11:09:46	ga_ls7e_ard_3-1-0_115074_2020-12-25_final
2020-12-25 11:10:10	ga_ls7e_ard_3-1-0_115075_2020-12-25_final
2020-12-25 11:10:34	ga_ls7e_ard_3-1-0_115076_2020-12-25_final
2020-12-25 11:10:58	ga_ls7e_ard_3-1-0_115077_2020-12-25_final
2020-12-25 11:11:22	ga_ls7e_ard_3-1-0_115078_2020-12-25_final
2021-01-10 11:08:40	ga_ls7e_ard_3-1-0_115074_2021-01-10_final
2021-01-10 11:09:04	ga_ls7e_ard_3-1-0_115075_2021-01-10_final
2021-01-10 11:09:28	ga_ls7e_ard_3-1-0_115076_2021-01-10_final
2021-01-10 11:09:52	ga_ls7e_ard_3-1-0_115077_2021-01-10_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-12 10:58:57	ga_ls7e_ard_3-1-0_113081_2021-01-12_final
2021-01-12 10:59:21	ga_ls7e_ard_3-1-0_113082_2021-01-12_final
2021-01-12 10:59:45	ga_ls7e_ard_3-1-0_113083_2021-01-12_final
2021-01-12 11:00:09	ga_ls7e_ard_3-1-0_113084_2021-01-12_final
2021-03-24 10:58:10	ga_ls7e_ard_3-2-0_114077_2021-03-24_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-03-24 10:58:58	ga_ls7e_ard_3-2-0_114079_2021-03-24_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-03-31 11:02:59	ga_ls7e_ard_3-2-0_115075_2021-03-31_final
2021-03-31 11:03:22	ga_ls7e_ard_3-2-0_115076_2021-03-31_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-02 10:53:15	ga_ls7e_ard_3-2-0_113082_2021-04-02_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-09 10:56:51	ga_ls7e_ard_3-2-0_114077_2021-04-09_final
2021-04-09 10:57:39	ga_ls7e_ard_3-2-0_114079_2021-04-09_final
2021-04-09 10:58:03	ga_ls7e_ard_3-2-0_114080_2021-04-09_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-07-14 10:49:12	ga_ls7e_ard_3-2-0_114078_2021-07-14_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-21 10:53:35	ga_ls7e_ard_3-2-0_115075_2021-07-21_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-30 10:47:25	ga_ls7e_ard_3-2-0_114077_2021-07-30_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-07-30 10:48:13	ga_ls7e_ard_3-2-0_114079_2021-07-30_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