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
2002-06-08 11:30:25	ga_ls7e_ard_3-0-0_114067_2002-06-08_final
2002-08-11 11:30:00	ga_ls7e_ard_3-0-0_114067_2002-08-11_final
2002-09-12 11:29:45	ga_ls7e_ard_3-0-0_114067_2002-09-12_final
2002-11-15 11:29:47	ga_ls7e_ard_3-0-0_114067_2002-11-15_final
2003-03-23 11:30:29	ga_ls7e_ard_3-0-0_114067_2003-03-23_final
2003-04-08 11:30:35	ga_ls7e_ard_3-0-0_114067_2003-04-08_final
2003-05-10 11:30:35	ga_ls7e_ard_3-0-0_114067_2003-05-10_final
2003-08-14 11:30:14	ga_ls7e_ard_3-0-0_114067_2003-08-14_final
2003-10-17 11:30:03	ga_ls7e_ard_3-0-0_114067_2003-10-17_final
2004-01-05 11:30:45	ga_ls7e_ard_3-0-0_114067_2004-01-05_final
2004-03-09 11:31:03	ga_ls7e_ard_3-0-0_114067_2004-03-09_final
2004-03-25 11:31:07	ga_ls7e_ard_3-0-0_114067_2004-03-25_final
2004-04-26 11:30:58	ga_ls7e_ard_3-0-0_114067_2004-04-26_final
2004-07-15 11:30:48	ga_ls7e_ard_3-0-0_114067_2004-07-15_final
2004-08-16 11:30:38	ga_ls7e_ard_3-0-0_114067_2004-08-16_final
2004-09-01 11:30:34	ga_ls7e_ard_3-0-0_114067_2004-09-01_final
2004-10-03 11:30:24	ga_ls7e_ard_3-0-0_114067_2004-10-03_final
2004-11-20 11:30:49	ga_ls7e_ard_3-0-0_114067_2004-11-20_final
2004-12-06 11:30:59	ga_ls7e_ard_3-0-0_114067_2004-12-06_final
2005-01-07 11:31:13	ga_ls7e_ard_3-0-0_114067_2005-01-07_final
2005-01-23 11:31:14	ga_ls7e_ard_3-0-0_114067_2005-01-23_final
2005-03-12 11:31:32	ga_ls7e_ard_3-0-0_114067_2005-03-12_final
2005-03-28 11:31:30	ga_ls7e_ard_3-0-0_114067_2005-03-28_final
2005-04-13 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-13_final
2005-04-29 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-29_final
2005-05-15 11:31:27	ga_ls7e_ard_3-0-0_114067_2005-05-15_final
2005-05-31 11:31:24	ga_ls7e_ard_3-0-0_114067_2005-05-31_final
2005-07-18 11:31:15	ga_ls7e_ard_3-0-0_114067_2005-07-18_final
2005-08-19 11:31:08	ga_ls7e_ard_3-0-0_114067_2005-08-19_final
2005-09-04 11:31:00	ga_ls7e_ard_3-0-0_114067_2005-09-04_final
2005-10-06 11:30:51	ga_ls7e_ard_3-0-0_114067_2005-10-06_final
2005-11-23 11:31:23	ga_ls7e_ard_3-0-0_114067_2005-11-23_final
2006-01-10 11:31:40	ga_ls7e_ard_3-0-0_114067_2006-01-10_final
2006-02-11 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-02-11_final
2006-05-02 11:31:53	ga_ls7e_ard_3-1-0_114067_2006-05-02_final
2006-05-18 11:31:54	ga_ls7e_ard_3-0-0_114067_2006-05-18_final
2006-06-03 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-06-03_final
2006-08-06 11:31:31	ga_ls7e_ard_3-0-0_114067_2006-08-06_final
2006-08-22 11:31:29	ga_ls7e_ard_3-0-0_114067_2006-08-22_final
2006-09-07 11:31:25	ga_ls7e_ard_3-0-0_114067_2006-09-07_final
2006-10-09 11:31:12	ga_ls7e_ard_3-0-0_114067_2006-10-09_final
2006-10-25 11:31:28	ga_ls7e_ard_3-0-0_114067_2006-10-25_final
2006-11-26 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-11-26_final
2006-12-12 11:31:59	ga_ls7e_ard_3-0-0_114067_2006-12-12_final
2007-02-14 11:32:15	ga_ls7e_ard_3-0-0_114067_2007-02-14_final
2007-04-19 11:32:20	ga_ls7e_ard_3-0-0_114067_2007-04-19_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2018-08-07 11:40:33	ga_ls7e_ard_3-0-0_114067_2018-08-07_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-09-08 11:39:55	ga_ls7e_ard_3-0-0_114067_2018-09-08_final
2018-10-10 11:39:09	ga_ls7e_ard_3-0-0_114067_2018-10-10_final
2018-12-13 11:37:37	ga_ls7e_ard_3-0-0_114067_2018-12-13_final
2019-02-15 11:35:40	ga_ls7e_ard_3-0-0_114067_2019-02-15_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-04-20 11:33:32	ga_ls7e_ard_3-0-0_114067_2019-04-20_final
2019-05-06 11:32:56	ga_ls7e_ard_3-0-0_114067_2019-05-06_final
2019-06-23 11:31:09	ga_ls7e_ard_3-0-0_114067_2019-06-23_final
2019-07-09 11:30:33	ga_ls7e_ard_3-0-0_114067_2019-07-09_final
2019-07-25 11:29:55	ga_ls7e_ard_3-0-0_114067_2019-07-25_final
2019-08-10 11:29:16	ga_ls7e_ard_3-0-0_114067_2019-08-10_final
2019-08-26 11:28:35	ga_ls7e_ard_3-1-0_114067_2019-08-26_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-27 11:27:11	ga_ls7e_ard_3-1-0_114067_2019-09-27_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-29 11:25:50	ga_ls7e_ard_3-1-0_114067_2019-10-29_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2019-11-30 11:24:21	ga_ls7e_ard_3-1-0_114067_2019-11-30_final
2019-12-16 11:23:33	ga_ls7e_ard_3-1-0_114067_2019-12-16_final
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2020-02-18 11:20:18	ga_ls7e_ard_3-1-0_114067_2020-02-18_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-21 11:18:34	ga_ls7e_ard_3-1-0_114067_2020-03-21_final
2020-04-06 11:17:40	ga_ls7e_ard_3-1-0_114067_2020-04-06_final
2020-04-22 11:16:44	ga_ls7e_ard_3-1-0_114067_2020-04-22_final
2020-05-08 11:15:47	ga_ls7e_ard_3-1-0_114067_2020-05-08_final
2020-06-09 11:13:52	ga_ls7e_ard_3-1-0_114067_2020-06-09_final
2020-06-25 11:12:55	ga_ls7e_ard_3-1-0_114067_2020-06-25_final
2020-07-11 11:11:57	ga_ls7e_ard_3-1-0_114067_2020-07-11_final
2020-08-12 11:09:58	ga_ls7e_ard_3-1-0_114067_2020-08-12_final
2020-08-28 11:08:56	ga_ls7e_ard_3-1-0_114067_2020-08-28_final
2020-09-13 11:07:53	ga_ls7e_ard_3-1-0_114067_2020-09-13_final
2020-10-15 11:05:49	ga_ls7e_ard_3-1-0_114067_2020-10-15_final
2020-11-16 11:03:40	ga_ls7e_ard_3-1-0_114067_2020-11-16_final
2020-12-18 11:01:19	ga_ls7e_ard_3-1-0_114067_2020-12-18_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-03-24 10:54:10	ga_ls7e_ard_3-2-0_114067_2021-03-24_final
2021-04-09 10:52:52	ga_ls7e_ard_3-2-0_114067_2021-04-09_final
2021-04-25 10:51:31	ga_ls7e_ard_3-2-0_114067_2021-04-25_final
2021-05-11 10:50:10	ga_ls7e_ard_3-2-0_114067_2021-05-11_final
2021-05-27 10:48:49	ga_ls7e_ard_3-2-0_114067_2021-05-27_final
2021-06-12 10:47:29	ga_ls7e_ard_3-2-0_114067_2021-06-12_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-30 10:43:26	ga_ls7e_ard_3-2-0_114067_2021-07-30_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-31 10:40:37	ga_ls7e_ard_3-2-0_114067_2021-08-31_final
2021-09-16 10:39:13	ga_ls7e_ard_3-2-0_114067_2021-09-16_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-18 10:36:22	ga_ls7e_ard_3-2-0_114067_2021-10-18_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