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
2000-10-08 11:37:00	ga_ls7e_ard_3-0-0_114079_2000-10-08_final
2000-11-25 11:35:22	ga_ls7e_ard_3-0-0_114075_2000-11-25_final
2001-09-25 11:30:17	ga_ls7e_ard_3-0-0_114067_2001-09-25_final
2003-10-17 11:33:14	ga_ls7e_ard_3-0-0_114075_2003-10-17_final
2004-04-10 11:33:50	ga_ls7e_ard_3-0-0_114074_2004-04-10_final
2004-10-10 11:40:31	ga_ls7e_ard_3-1-0_115077_2004-10-10_final
2004-11-04 11:34:19	ga_ls7e_ard_3-0-0_114076_2004-11-04_final
2005-01-07 11:35:12	ga_ls7e_ard_3-0-0_114077_2005-01-07_final
2005-09-27 11:41:04	ga_ls7e_ard_3-1-0_115077_2005-09-27_final
2006-05-02 11:35:28	ga_ls7e_ard_3-0-0_114076_2006-05-02_final
2006-05-02 11:37:04	ga_ls7e_ard_3-0-0_114080_2006-05-02_final
2006-09-14 11:41:09	ga_ls7e_ard_3-0-0_115076_2006-09-14_final
2007-04-03 11:36:21	ga_ls7e_ard_3-0-0_114077_2007-04-03_final
2007-04-19 11:35:31	ga_ls7e_ard_3-0-0_114075_2007-04-19_final
2007-07-24 11:35:35	ga_ls7e_ard_3-0-0_114076_2007-07-24_final
2007-10-12 11:35:10	ga_ls7e_ard_3-0-0_114076_2007-10-12_final
2008-05-07 11:35:04	ga_ls7e_ard_3-0-0_114075_2008-05-07_final
2008-05-14 11:42:00	ga_ls7e_ard_3-1-0_115077_2008-05-14_final
2009-04-24 11:37:00	ga_ls7e_ard_3-0-0_114079_2009-04-24_final
2012-07-28 11:46:55	ga_ls7e_ard_3-1-0_115077_2012-07-28_final
2012-08-22 11:40:37	ga_ls7e_ard_3-0-0_114076_2012-08-22_final
2013-03-02 11:43:34	ga_ls7e_ard_3-0-0_114081_2013-03-02_final
2013-04-19 11:37:47	ga_ls7e_ard_3-0-0_114067_2013-04-19_final
2013-09-10 11:42:37	ga_ls7e_ard_3-0-0_114080_2013-09-10_final
2013-10-12 11:42:36	ga_ls7e_ard_3-0-0_114079_2013-10-12_final
2013-10-28 11:42:17	ga_ls7e_ard_3-0-0_114078_2013-10-28_final
2014-06-25 11:42:29	ga_ls7e_ard_3-0-0_114075_2014-06-25_final
2014-12-18 11:43:32	ga_ls7e_ard_3-0-0_114075_2014-12-18_final
2015-01-03 11:45:33	ga_ls7e_ard_3-0-0_114080_2015-01-03_final
2015-06-12 11:45:25	ga_ls7e_ard_3-0-0_114077_2015-06-12_final
2015-09-16 11:45:45	ga_ls7e_ard_3-0-0_114077_2015-09-16_final
2016-04-18 11:53:30	ga_ls7e_ard_3-0-0_115075_2016-04-18_final
2016-11-05 11:49:39	ga_ls7e_ard_3-0-0_114080_2016-11-05_final
2016-12-07 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-12-07_final
2019-04-04 11:38:06	ga_ls7e_ard_3-0-0_114077_2019-04-04_final
2019-07-09 11:34:56	ga_ls7e_ard_3-0-0_114078_2019-07-09_final
2019-11-21 11:34:57	ga_ls7e_ard_3-1-0_115077_2019-11-21_final
2020-06-16 11:23:37	ga_ls7e_ard_3-1-0_115077_2020-06-16_final
2020-11-22 10:32:57	ga_ls7e_ard_3-1-0_108084_2020-11-22_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-12-28 10:03:11	ga_ls7e_ard_3-1-0_104078_2020-12-28_final
2020-12-29 09:07:54	ga_ls7e_ard_3-1-0_095079_2020-12-28_final
2020-12-30 09:49:53	ga_ls7e_ard_3-1-0_102076_2020-12-30_final
2021-01-05 10:52:52	ga_ls7e_ard_3-1-0_112080_2021-01-05_final
2021-01-09 08:50:35	ga_ls7e_ard_3-1-0_092084_2021-01-08_final
2021-01-16 08:55:28	ga_ls7e_ard_3-1-0_093082_2021-01-15_final
2021-01-18 08:43:22	ga_ls7e_ard_3-1-0_091083_2021-01-17_final
2021-01-19 09:24:58	ga_ls7e_ard_3-1-0_098079_2021-01-18_final
2021-01-21 10:52:32	ga_ls7e_ard_3-2-0_112082_2021-01-21_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-05 10:06:59	ga_ls7e_ard_3-2-0_105079_2021-02-05_final
2021-02-08 08:57:35	ga_ls7e_ard_3-2-0_094076_2021-02-07_final
2021-02-09 09:41:10	ga_ls7e_ard_3-2-0_101077_2021-02-09_final
2021-03-08 10:59:02	ga_ls7e_ard_3-2-0_114076_2021-03-08_final
2021-03-22 09:33:48	ga_ls7e_ard_3-2-0_100082_2021-03-22_final
2021-04-08 08:39:59	ga_ls7e_ard_3-2-0_091090_2021-04-07_final
2021-04-09 09:19:10	ga_ls7e_ard_3-2-0_098080_2021-04-08_final
2021-04-11 09:04:15	ga_ls7e_ard_3-2-0_096074_2021-04-10_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-15 10:17:40	ga_ls7e_ard_3-2-0_108073_2021-04-15_final
2021-04-25 10:54:42	ga_ls7e_ard_3-2-0_114075_2021-04-25_final
2021-04-26 10:00:35	ga_ls7e_ard_3-2-0_105079_2021-04-26_final
2021-05-02 09:21:25	ga_ls7e_ard_3-2-0_099075_2021-05-01_final
2021-05-05 09:54:04	ga_ls7e_ard_3-2-0_104080_2021-05-05_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-11 09:13:41	ga_ls7e_ard_3-2-0_098073_2021-05-10_final
2021-05-17 10:19:22	ga_ls7e_ard_3-2-0_108084_2021-05-17_final
2021-05-21 09:49:07	ga_ls7e_ard_3-2-0_104071_2021-05-21_final
2021-06-02 08:35:55	ga_ls7e_ard_3-2-0_092076_2021-06-01_final
2021-06-07 08:55:39	ga_ls7e_ard_3-2-0_095080_2021-06-06_final
2021-06-09 08:40:45	ga_ls7e_ard_3-2-0_093074_2021-06-08_final
2021-06-09 10:20:49	ga_ls7e_ard_3-2-0_109077_2021-06-09_final
2021-07-04 08:35:17	ga_ls7e_ard_3-2-0_092081_2021-07-03_final
2021-07-06 08:22:22	ga_ls7e_ard_3-2-0_090080_2021-07-05_final
2021-07-29 10:03:51	ga_ls7e_ard_3-2-0_107076_2021-07-29_final
2021-08-05 08:32:31	ga_ls7e_ard_3-2-0_092081_2021-08-04_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-10 08:50:37	ga_ls7e_ard_3-2-0_095081_2021-08-09_final
2021-08-13 09:21:39	ga_ls7e_ard_3-2-0_100082_2021-08-12_final
2021-09-14 09:18:28	ga_ls7e_ard_3-2-0_100081_2021-09-13_final
2021-09-21 09:21:13	ga_ls7e_ard_3-2-0_101074_2021-09-20_final
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-14 09:24:34	ga_ls7e_ard_3-2-0_102072_2021-10-13_final
2021-10-15 10:08:08	ga_ls7e_ard_3-2-0_109073_2021-10-15_final
2021-11-02 08:19:14	ga_ls7e_ard_3-2-0_091083_2021-11-01_final
2021-11-09 09:58:03	ga_ls7e_ard_3-2-0_108069_2021-11-09_final
2021-11-29 09:31:48	ga_ls7e_ard_3-2-1_104070_2021-11-29_final
2021-11-29 09:34:11	ga_ls7e_ard_3-2-1_104076_2021-11-29_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-05 10:35:50	ga_ls7e_ard_3-2-1_114077_2021-12-05_final
2021-12-10 09:14:13	ga_ls7e_ard_3-2-1_101075_2021-12-09_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2022-01-10 08:31:31	ga_ls7e_ard_3-2-1_094084_2022-01-09_final
2022-01-23 09:36:15	ga_ls7e_ard_3-2-1_105079_2022-01-23_final
2022-01-28 08:17:50	ga_ls7e_ard_3-2-1_092085_2022-01-27_final
2022-02-13 09:49:29	ga_ls7e_ard_3-2-1_108071_2022-02-13_final
2022-02-23 10:26:47	ga_ls7e_ard_3-2-1_114074_2022-02-23_final
2022-03-11 08:48:21	ga_ls7e_ard_3-2-1_098079_2022-03-10_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