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
1999-08-19 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-08-19_final
1999-10-22 11:39:27	ga_ls7e_ard_3-0-0_114079_1999-10-22_final
2000-09-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-09-22_final
2000-11-25 11:36:33	ga_ls7e_ard_3-0-0_114078_2000-11-25_final
2000-11-25 11:36:57	ga_ls7e_ard_3-0-0_114079_2000-11-25_final
2001-02-13 11:37:27	ga_ls7e_ard_3-0-0_114080_2001-02-13_final
2001-03-17 11:36:05	ga_ls7e_ard_3-0-0_114077_2001-03-17_final
2001-11-28 11:33:35	ga_ls7e_ard_3-0-0_114075_2001-11-28_final
2002-05-14 11:39:32	ga_ls7e_ard_3-0-0_115074_2002-05-14_final
2002-07-10 11:33:02	ga_ls7e_ard_3-0-0_114074_2002-07-10_final
2002-08-20 11:30:10	ga_ls7e_ard_3-0-0_113083_2002-08-20_final
2003-01-09 11:39:08	ga_ls7e_ard_3-0-0_115074_2003-01-09_final
2003-02-03 11:33:37	ga_ls7e_ard_3-0-0_114075_2003-02-03_final
2003-02-28 11:30:19	ga_ls7e_ard_3-0-0_113082_2003-02-28_final
2004-02-06 11:35:19	ga_ls7e_ard_3-0-0_114078_2004-02-06_final
2004-03-02 11:31:11	ga_ls7e_ard_3-0-0_113083_2004-03-02_final
2004-04-03 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-04-03_final
2004-09-01 11:34:10	ga_ls7e_ard_3-0-0_114076_2004-09-01_final
2005-04-06 11:30:28	ga_ls7e_ard_3-0-0_113080_2005-04-06_final
2005-06-25 11:30:39	ga_ls7e_ard_3-0-0_113081_2005-06-25_final
2005-08-19 11:35:08	ga_ls7e_ard_3-0-0_114077_2005-08-19_final
2009-03-16 11:31:24	ga_ls7e_ard_3-0-0_113081_2009-03-16_final
2010-03-01 11:44:02	ga_ls7e_ard_3-1-0_115077_2010-03-01_final
2010-03-17 11:44:09	ga_ls7e_ard_3-1-0_115077_2010-03-17_final
2011-03-29 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-03-29_final
2011-07-19 11:40:32	ga_ls7e_ard_3-0-0_114080_2011-07-19_final
2011-10-30 11:45:22	ga_ls7e_ard_3-1-0_115077_2011-10-30_final
2012-09-23 11:42:56	ga_ls7e_ard_3-0-0_114081_2012-09-23_final
2014-04-06 11:43:36	ga_ls7e_ard_3-0-0_114079_2014-04-06_final
2014-05-01 11:38:27	ga_ls7e_ard_3-0-0_113081_2014-05-01_final
2014-08-05 11:39:17	ga_ls7e_ard_3-0-0_113082_2014-08-05_final
2015-05-04 11:41:46	ga_ls7e_ard_3-0-0_113084_2015-05-04_final
2015-07-05 11:51:41	ga_ls7e_ard_3-0-0_115077_2015-07-05_final
2016-06-14 11:48:46	ga_ls7e_ard_3-0-0_114078_2016-06-14_final
2018-05-03 11:47:03	ga_ls7e_ard_3-0-0_114079_2018-05-03_final
2018-07-06 11:45:55	ga_ls7e_ard_3-0-0_114079_2018-07-06_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2020-07-27 11:14:34	ga_ls7e_ard_3-1-0_114076_2020-07-27_final
2020-11-21 09:46:34	ga_ls7e_ard_3-1-0_101076_2020-11-21_final
2020-12-02 09:27:14	ga_ls7e_ard_3-1-0_098076_2020-12-01_final
2020-12-05 09:57:54	ga_ls7e_ard_3-1-0_103076_2020-12-05_final
2021-01-06 09:54:23	ga_ls7e_ard_3-1-0_103073_2021-01-06_final
2021-01-07 09:03:29	ga_ls7e_ard_3-1-0_094085_2021-01-06_final
2021-01-08 09:44:17	ga_ls7e_ard_3-1-0_101079_2021-01-08_final
2021-01-22 09:52:27	ga_ls7e_ard_3-2-0_103071_2021-01-22_final
2021-01-28 10:59:00	ga_ls7e_ard_3-2-0_113084_2021-01-28_final
2021-02-06 10:52:10	ga_ls7e_ard_3-2-0_112084_2021-02-06_final
2021-02-10 08:47:52	ga_ls7e_ard_3-2-0_092083_2021-02-09_final
2021-03-05 08:49:54	ga_ls7e_ard_3-2-0_093077_2021-03-04_final
2021-03-05 08:50:18	ga_ls7e_ard_3-2-0_093078_2021-03-04_final
2021-04-06 08:49:19	ga_ls7e_ard_3-2-0_093082_2021-04-05_final
2021-04-12 09:47:25	ga_ls7e_ard_3-2-0_103074_2021-04-12_final
2021-04-18 09:11:02	ga_ls7e_ard_3-2-0_097077_2021-04-17_final
2021-04-18 10:50:43	ga_ls7e_ard_3-2-0_113079_2021-04-18_final
2021-04-25 09:18:37	ga_ls7e_ard_3-2-0_098082_2021-04-24_final
2021-04-28 09:46:04	ga_ls7e_ard_3-2-0_103074_2021-04-28_final
2021-05-01 08:41:26	ga_ls7e_ard_3-2-0_092083_2021-04-30_final
2021-05-15 10:28:42	ga_ls7e_ard_3-2-0_110076_2021-05-15_final
2021-05-20 10:46:49	ga_ls7e_ard_3-2-0_113076_2021-05-20_final
2021-05-22 08:56:37	ga_ls7e_ard_3-2-0_095079_2021-05-21_final
2021-06-08 09:35:39	ga_ls7e_ard_3-2-0_102072_2021-06-08_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-06-25 10:17:55	ga_ls7e_ard_3-2-0_109073_2021-06-25_final
2021-07-07 09:03:09	ga_ls7e_ard_3-2-0_097074_2021-07-06_final
2021-07-07 10:42:25	ga_ls7e_ard_3-2-0_113075_2021-07-07_final
2021-07-08 09:47:07	ga_ls7e_ard_3-2-0_104076_2021-07-08_final
2021-07-11 10:16:10	ga_ls7e_ard_3-2-0_109072_2021-07-11_final
2021-07-14 09:08:44	ga_ls7e_ard_3-2-0_098074_2021-07-13_final
2021-07-14 09:11:31	ga_ls7e_ard_3-2-0_098081_2021-07-13_final
2021-07-16 10:35:52	ga_ls7e_ard_3-2-0_112076_2021-07-16_final
2021-08-10 08:48:14	ga_ls7e_ard_3-2-0_095075_2021-08-09_final
2021-08-12 08:36:53	ga_ls7e_ard_3-2-0_093078_2021-08-11_final
2021-08-24 10:38:14	ga_ls7e_ard_3-2-0_113075_2021-08-24_final
2021-09-13 08:33:42	ga_ls7e_ard_3-2-0_093077_2021-09-12_final
2021-09-15 08:21:57	ga_ls7e_ard_3-2-0_091079_2021-09-14_final
2021-09-25 10:37:49	ga_ls7e_ard_3-2-0_113081_2021-09-25_final
2021-09-26 09:37:43	ga_ls7e_ard_3-2-0_104070_2021-09-26_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-13 10:24:16	ga_ls7e_ard_3-2-0_111082_2021-10-13_final
2021-10-14 09:27:22	ga_ls7e_ard_3-2-0_102079_2021-10-13_final
2021-10-17 09:57:35	ga_ls7e_ard_3-2-0_107078_2021-10-17_final
2021-10-20 10:27:01	ga_ls7e_ard_3-2-0_112075_2021-10-20_final
2021-10-28 09:37:39	ga_ls7e_ard_3-2-0_104077_2021-10-28_final
2021-10-30 09:27:06	ga_ls7e_ard_3-2-0_102082_2021-10-29_final
2021-10-31 10:10:16	ga_ls7e_ard_3-2-0_109082_2021-10-31_final
2021-11-09 10:00:50	ga_ls7e_ard_3-2-0_108076_2021-11-09_final
2021-11-10 09:07:31	ga_ls7e_ard_3-2-0_099082_2021-11-09_final
2021-12-05 08:56:33	ga_ls7e_ard_3-2-1_098076_2021-12-04_final
2021-12-07 10:24:05	ga_ls7e_ard_3-2-1_112079_2021-12-07_final
2021-12-13 09:46:49	ga_ls7e_ard_3-2-1_106080_2021-12-13_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2022-01-09 09:24:50	ga_ls7e_ard_3-2-1_103078_2022-01-08_final
2022-01-12 08:16:58	ga_ls7e_ard_3-2-1_092079_2022-01-11_final
2022-02-04 08:23:42	ga_ls7e_ard_3-2-1_093086_2022-02-03_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-03-04 08:43:15	ga_ls7e_ard_3-2-1_097080_2022-03-03_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-29 10:11:55	ga_ls7e_ard_3-2-1_112076_2022-03-29_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years