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
1999-06-30 11:51:16	ga_ls7e_ard_3-0-0_116078_1999-06-30_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-03-28 11:51:07	ga_ls7e_ard_3-0-0_116078_2000-03-28_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2002-03-11 11:40:08	ga_ls7e_ard_3-0-0_115075_2002-03-11_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2004-12-29 11:40:56	ga_ls7e_ard_3-0-0_115076_2004-12-29_final
2006-01-17 11:41:30	ga_ls7e_ard_3-0-0_115076_2006-01-17_final
2006-02-02 11:41:36	ga_ls7e_ard_3-0-0_115076_2006-02-02_final
2006-08-13 11:42:29	ga_ls7e_ard_3-0-0_115079_2006-08-13_final
2006-08-29 11:41:14	ga_ls7e_ard_3-0-0_115076_2006-08-29_final
2007-03-25 11:43:20	ga_ls7e_ard_3-0-0_115079_2007-03-25_final
2007-11-04 11:42:01	ga_ls7e_ard_3-1-0_115077_2007-11-04_final
2008-08-02 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-08-02_final
2009-06-18 11:41:37	ga_ls7e_ard_3-0-0_115075_2009-06-18_final
2010-03-01 11:44:26	ga_ls7e_ard_3-0-0_115078_2010-03-01_final
2010-03-17 11:43:21	ga_ls7e_ard_3-0-0_115075_2010-03-17_final
2010-07-23 11:43:26	ga_ls7e_ard_3-0-0_115075_2010-07-23_final
2011-03-04 11:45:09	ga_ls7e_ard_3-0-0_115076_2011-03-04_final
2011-06-24 11:44:45	ga_ls7e_ard_3-0-0_115075_2011-06-24_final
2012-02-19 11:45:45	ga_ls7e_ard_3-0-0_115076_2012-02-19_final
2012-04-07 11:45:16	ga_ls7e_ard_3-0-0_115075_2012-04-07_final
2013-06-13 11:46:52	ga_ls7e_ard_3-0-0_115075_2013-06-13_final
2014-07-02 11:49:31	ga_ls7e_ard_3-1-0_115077_2014-07-02_final
2014-12-25 11:50:56	ga_ls7e_ard_3-0-0_115078_2014-12-25_final
2018-02-03 11:54:28	ga_ls7e_ard_3-0-0_115079_2018-02-03_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2020-01-24 11:31:21	ga_ls7e_ard_3-1-0_115076_2020-01-24_final
2020-07-18 11:22:30	ga_ls7e_ard_3-1-0_115079_2020-07-18_final
2020-11-24 08:42:22	ga_ls7e_ard_3-1-0_090086_2020-11-23_final
2020-11-24 10:16:27	ga_ls7e_ard_3-1-0_106074_2020-11-24_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-11-28 09:49:27	ga_ls7e_ard_3-1-0_102069_2020-11-28_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-05 10:00:18	ga_ls7e_ard_3-1-0_103082_2020-12-05_final
2020-12-11 09:22:22	ga_ls7e_ard_3-1-0_097081_2020-12-10_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-31 10:31:29	ga_ls7e_ard_3-1-0_109072_2020-12-31_final
2021-01-13 10:01:40	ga_ls7e_ard_3-1-0_104077_2021-01-13_final
2021-01-16 10:34:45	ga_ls7e_ard_3-1-0_109083_2021-01-16_final
2021-01-17 09:36:16	ga_ls7e_ard_3-1-0_100076_2021-01-17_final
2021-01-26 11:07:31	ga_ls7e_ard_3-2-0_115074_2021-01-26_final
2021-01-29 10:01:19	ga_ls7e_ard_3-2-0_104079_2021-01-29_final
2021-01-31 09:46:25	ga_ls7e_ard_3-2-0_102073_2021-01-31_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-05 08:28:30	ga_ls7e_ard_3-2-0_089080_2021-02-04_final
2021-02-10 08:47:28	ga_ls7e_ard_3-2-0_092082_2021-02-09_final
2021-02-11 11:07:08	ga_ls7e_ard_3-2-0_115076_2021-02-11_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-10 09:10:50	ga_ls7e_ard_3-2-0_096084_2021-03-09_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-28 10:35:55	ga_ls7e_ard_3-2-0_110084_2021-03-28_final
2021-04-01 10:05:41	ga_ls7e_ard_3-2-0_106071_2021-04-01_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-11 09:08:14	ga_ls7e_ard_3-2-0_096084_2021-04-10_final
2021-04-13 10:30:12	ga_ls7e_ard_3-2-0_110073_2021-04-13_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_final
2021-04-13 10:34:35	ga_ls7e_ard_3-2-0_110084_2021-04-13_final
2021-04-18 09:08:15	ga_ls7e_ard_3-2-0_097070_2021-04-17_final
2021-04-24 08:37:02	ga_ls7e_ard_3-2-0_091086_2021-04-23_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-05-08 10:23:31	ga_ls7e_ard_3-2-0_109077_2021-05-08_final
2021-05-13 09:05:33	ga_ls7e_ard_3-2-0_096084_2021-05-12_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-18 09:23:40	ga_ls7e_ard_3-2-0_099084_2021-05-17_final
2021-05-18 10:58:33	ga_ls7e_ard_3-2-0_115074_2021-05-18_final
2021-05-27 09:09:56	ga_ls7e_ard_3-2-0_098067_2021-05-26_final
2021-05-27 09:13:55	ga_ls7e_ard_3-2-0_098077_2021-05-26_final
2021-05-31 10:26:32	ga_ls7e_ard_3-2-0_110074_2021-05-31_final
2021-06-02 10:13:36	ga_ls7e_ard_3-2-0_108073_2021-06-02_final
2021-06-02 10:18:00	ga_ls7e_ard_3-2-0_108084_2021-06-02_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-08 09:36:03	ga_ls7e_ard_3-2-0_102073_2021-06-08_final
2021-06-25 10:17:31	ga_ls7e_ard_3-2-0_109072_2021-06-25_final
2021-06-27 08:29:42	ga_ls7e_ard_3-2-0_091081_2021-06-26_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-07-03 09:29:00	ga_ls7e_ard_3-2-0_101076_2021-07-02_final
2021-07-07 10:39:14	ga_ls7e_ard_3-2-0_113067_2021-07-07_final
2021-07-10 09:32:12	ga_ls7e_ard_3-2-0_102070_2021-07-10_final
2021-07-18 08:47:39	ga_ls7e_ard_3-2-0_094084_2021-07-17_final
2021-07-18 10:22:56	ga_ls7e_ard_3-2-0_110075_2021-07-18_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-15 09:07:07	ga_ls7e_ard_3-2-0_098077_2021-08-14_final
2021-09-01 09:50:54	ga_ls7e_ard_3-2-0_105082_2021-09-01_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-14 09:19:39	ga_ls7e_ard_3-2-0_100084_2021-09-13_final
2021-09-16 09:01:56	ga_ls7e_ard_3-2-0_098071_2021-09-15_final
2021-09-25 08:58:08	ga_ls7e_ard_3-2-0_097079_2021-09-24_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-10 09:49:15	ga_ls7e_ard_3-2-0_106071_2021-10-10_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-13 08:46:11	ga_ls7e_ard_3-2-0_095084_2021-10-12_final
2021-10-18 09:02:41	ga_ls7e_ard_3-2-0_098080_2021-10-17_final
2021-10-29 08:44:44	ga_ls7e_ard_3-2-0_095084_2021-10-28_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