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
2000-09-22 11:37:29	ga_ls7e_ard_3-0-0_114080_2000-09-22_final
2002-08-11 11:34:00	ga_ls7e_ard_3-0-0_114077_2002-08-11_final
2003-05-26 11:34:31	ga_ls7e_ard_3-0-0_114077_2003-05-26_final
2004-03-25 11:34:18	ga_ls7e_ard_3-0-0_114075_2004-03-25_final
2004-04-01 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-04-01_final
2005-07-02 11:34:02	ga_ls7e_ard_3-0-0_114074_2005-07-02_final
2005-07-02 11:34:26	ga_ls7e_ard_3-0-0_114075_2005-07-02_final
2005-10-13 11:41:53	ga_ls7e_ard_3-0-0_115079_2005-10-13_final
2005-12-09 11:35:26	ga_ls7e_ard_3-0-0_114077_2005-12-09_final
2006-07-12 11:41:49	ga_ls7e_ard_3-1-0_115077_2006-07-12_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-06-06 11:35:17	ga_ls7e_ard_3-0-0_114075_2007-06-06_final
2008-12-17 11:34:08	ga_ls7e_ard_3-0-0_114074_2008-12-17_final
2009-12-04 11:37:51	ga_ls7e_ard_3-0-0_114080_2009-12-04_final
2010-03-26 11:39:12	ga_ls7e_ard_3-0-0_114080_2010-03-26_final
2010-06-30 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-06-30_final
2010-12-23 11:37:42	ga_ls7e_ard_3-0-0_114074_2010-12-23_final
2011-03-13 11:38:35	ga_ls7e_ard_3-0-0_114075_2011-03-13_final
2011-03-20 11:45:34	ga_ls7e_ard_3-1-0_115077_2011-03-20_final
2011-06-08 11:45:36	ga_ls7e_ard_3-0-0_115077_2011-06-08_final
2011-06-08 11:46:00	ga_ls7e_ard_3-0-0_115078_2011-06-08_final
2011-07-03 11:38:33	ga_ls7e_ard_3-0-0_114075_2011-07-03_final
2011-10-07 11:39:26	ga_ls7e_ard_3-0-0_114078_2011-10-07_final
2011-11-08 11:38:54	ga_ls7e_ard_3-0-0_114076_2011-11-08_final
2011-11-24 11:40:18	ga_ls7e_ard_3-0-0_114079_2011-11-24_final
2011-12-03 11:35:47	ga_ls7e_ard_3-0-0_113083_2011-12-03_final
2012-02-21 11:36:34	ga_ls7e_ard_3-0-0_113084_2012-02-21_final
2012-03-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2012-03-06_final
2014-01-16 11:41:13	ga_ls7e_ard_3-0-0_114074_2014-01-16_final
2014-10-31 11:42:47	ga_ls7e_ard_3-0-0_114074_2014-10-31_final
2015-01-28 11:40:41	ga_ls7e_ard_3-0-0_113083_2015-01-28_final
2015-10-18 11:45:17	ga_ls7e_ard_3-0-0_114075_2015-10-18_final
2016-08-01 11:49:38	ga_ls7e_ard_3-0-0_114080_2016-08-01_final
2016-12-07 11:49:30	ga_ls7e_ard_3-0-0_114080_2016-12-07_final
2016-12-16 11:44:28	ga_ls7e_ard_3-0-0_113083_2016-12-16_final
2017-11-17 11:45:01	ga_ls7e_ard_3-0-0_113084_2017-11-17_final
2017-12-26 11:48:28	ga_ls7e_ard_3-0-0_114078_2017-12-26_final
2018-04-26 11:42:59	ga_ls7e_ard_3-0-0_113084_2018-04-26_final
2018-10-10 11:43:33	ga_ls7e_ard_3-0-0_114078_2018-10-10_final
2019-02-15 11:35:40	ga_ls7e_ard_3-0-0_114067_2019-02-15_final
2019-04-04 11:37:18	ga_ls7e_ard_3-0-0_114075_2019-04-04_final
2019-09-11 11:31:05	ga_ls7e_ard_3-1-0_114075_2019-09-11_final
2019-09-27 11:29:59	ga_ls7e_ard_3-1-0_114074_2019-09-27_final
2020-07-27 11:16:09	ga_ls7e_ard_3-1-0_114080_2020-07-27_final
2020-11-16 11:08:03	ga_ls7e_ard_3-1-0_114078_2020-11-16_final
2020-12-11 11:01:15	ga_ls7e_ard_3-1-0_113081_2020-12-11_final
2020-12-15 08:58:09	ga_ls7e_ard_3-1-0_093083_2020-12-14_final
2020-12-17 10:20:55	ga_ls7e_ard_3-1-0_107074_2020-12-17_final
2021-01-05 09:15:35	ga_ls7e_ard_3-1-0_096084_2021-01-04_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-01-12 09:18:29	ga_ls7e_ard_3-1-0_097077_2021-01-11_final
2021-01-23 10:39:14	ga_ls7e_ard_3-2-0_110080_2021-01-23_final
2021-01-25 10:28:19	ga_ls7e_ard_3-2-0_108084_2021-01-25_final
2021-03-10 10:49:19	ga_ls7e_ard_3-2-0_112083_2021-03-10_final
2021-03-16 10:11:22	ga_ls7e_ard_3-2-0_106082_2021-03-16_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-05-01 10:16:19	ga_ls7e_ard_3-2-0_108073_2021-05-01_final
2021-05-07 09:38:21	ga_ls7e_ard_3-2-0_102072_2021-05-07_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final
2021-05-11 09:14:53	ga_ls7e_ard_3-2-0_098076_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-27 10:51:36	ga_ls7e_ard_3-2-0_114074_2021-05-27_final
2021-05-31 10:28:32	ga_ls7e_ard_3-2-0_110079_2021-05-31_final
2021-06-02 10:18:00	ga_ls7e_ard_3-2-0_108084_2021-06-02_final
2021-06-12 09:14:12	ga_ls7e_ard_3-2-0_098081_2021-06-11_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-06-21 10:45:45	ga_ls7e_ard_3-2-0_113080_2021-06-21_final
2021-07-15 09:49:54	ga_ls7e_ard_3-2-0_105069_2021-07-15_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-23 10:42:39	ga_ls7e_ard_3-2-0_113079_2021-07-23_final
2021-07-25 08:53:38	ga_ls7e_ard_3-2-0_095085_2021-07-24_final
2021-07-30 09:08:08	ga_ls7e_ard_3-2-0_098076_2021-07-29_final
2021-08-09 09:42:20	ga_ls7e_ard_3-2-0_104071_2021-08-09_final
2021-08-11 09:31:24	ga_ls7e_ard_3-2-0_102075_2021-08-11_final
2021-08-13 09:21:15	ga_ls7e_ard_3-2-0_100081_2021-08-12_final
2021-08-16 09:50:17	ga_ls7e_ard_3-2-0_105077_2021-08-16_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-08-25 09:42:56	ga_ls7e_ard_3-2-0_104076_2021-08-25_final
2021-08-28 08:36:17	ga_ls7e_ard_3-2-0_093080_2021-08-27_final
2021-09-09 09:01:34	ga_ls7e_ard_3-2-0_097084_2021-09-08_final
2021-09-12 09:27:00	ga_ls7e_ard_3-2-0_102071_2021-09-11_final
2021-09-20 10:16:08	ga_ls7e_ard_3-2-0_110072_2021-09-20_final
2021-09-27 10:19:41	ga_ls7e_ard_3-2-0_111067_2021-09-27_final
2021-10-03 08:09:35	ga_ls7e_ard_3-2-0_089083_2021-10-02_final
2021-10-07 09:20:36	ga_ls7e_ard_3-2-0_101076_2021-10-06_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-31 10:05:29	ga_ls7e_ard_3-2-0_109070_2021-10-31_final
2021-11-08 09:16:05	ga_ls7e_ard_3-2-0_101072_2021-11-07_final
2021-11-17 09:09:49	ga_ls7e_ard_3-2-1_100074_2021-11-16_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-10 10:09:36	ga_ls7e_ard_3-2-1_110082_2022-01-10_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-02-02 08:31:53	ga_ls7e_ard_3-2-1_095075_2022-02-01_final
2022-02-06 08:10:44	ga_ls7e_ard_3-2-1_091085_2022-02-05_final
2022-02-07 10:29:35	ga_ls7e_ard_3-2-1_114077_2022-02-07_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_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