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
1999-10-06 11:39:16	ga_ls7e_ard_3-0-0_114078_1999-10-06_final
1999-10-06 11:40:04	ga_ls7e_ard_3-0-0_114080_1999-10-06_final
1999-11-23 11:39:24	ga_ls7e_ard_3-0-0_114079_1999-11-23_final
1999-12-09 11:37:33	ga_ls7e_ard_3-0-0_114074_1999-12-09_final
2000-01-10 11:39:04	ga_ls7e_ard_3-0-0_114078_2000-01-10_final
2000-03-14 11:37:11	ga_ls7e_ard_3-0-0_114074_2000-03-14_final
2000-08-05 11:37:21	ga_ls7e_ard_3-0-0_114078_2000-08-05_final
2000-09-06 11:37:47	ga_ls7e_ard_3-0-0_114080_2000-09-06_final
2000-10-08 11:37:00	ga_ls7e_ard_3-0-0_114079_2000-10-08_final
2000-12-11 11:36:36	ga_ls7e_ard_3-0-0_114078_2000-12-11_final
2001-02-04 11:43:14	ga_ls7e_ard_3-0-0_115079_2001-02-04_final
2001-06-05 11:35:05	ga_ls7e_ard_3-0-0_114076_2001-06-05_final
2001-06-21 11:36:54	ga_ls7e_ard_3-0-0_114081_2001-06-21_final
2001-07-23 11:35:06	ga_ls7e_ard_3-0-0_114077_2001-07-23_final
2001-10-27 11:34:32	ga_ls7e_ard_3-0-0_114078_2001-10-27_final
2001-11-28 11:34:47	ga_ls7e_ard_3-0-0_114078_2001-11-28_final
2002-04-12 11:40:25	ga_ls7e_ard_3-0-0_115076_2002-04-12_final
2002-08-11 11:35:12	ga_ls7e_ard_3-0-0_114080_2002-08-11_final
2002-09-12 11:33:44	ga_ls7e_ard_3-0-0_114077_2002-09-12_final
2002-10-14 11:33:30	ga_ls7e_ard_3-0-0_114077_2002-10-14_final
2002-11-06 11:38:41	ga_ls7e_ard_3-0-0_115074_2002-11-06_final
2003-01-02 11:35:21	ga_ls7e_ard_3-0-0_114080_2003-01-02_final
2003-02-19 11:34:30	ga_ls7e_ard_3-0-0_114077_2003-02-19_final
2004-03-25 11:35:06	ga_ls7e_ard_3-0-0_114077_2004-03-25_final
2004-06-13 11:34:28	ga_ls7e_ard_3-0-0_114076_2004-06-13_final
2004-07-31 11:30:41	ga_ls7e_ard_3-0-0_114067_2004-07-31_final
2005-07-02 11:34:50	ga_ls7e_ard_3-0-0_114076_2005-07-02_final
2005-08-19 11:35:08	ga_ls7e_ard_3-0-0_114077_2005-08-19_final
2007-05-05 11:32:16	ga_ls7e_ard_3-0-0_114067_2007-05-05_final
2008-05-23 11:35:46	ga_ls7e_ard_3-0-0_114077_2008-05-23_final
2009-02-19 11:35:22	ga_ls7e_ard_3-0-0_114076_2009-02-19_final
2009-05-10 11:35:51	ga_ls7e_ard_3-0-0_114076_2009-05-10_final
2011-06-08 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-06-08_final
2013-04-03 11:43:28	ga_ls7e_ard_3-0-0_114081_2013-04-03_final
2013-05-21 11:41:17	ga_ls7e_ard_3-0-0_114076_2013-05-21_final
2014-07-11 11:42:57	ga_ls7e_ard_3-0-0_114076_2014-07-11_final
2015-05-11 11:44:50	ga_ls7e_ard_3-0-0_114076_2015-05-11_final
2017-06-17 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-06-17_final
2018-06-20 11:45:02	ga_ls7e_ard_3-0-0_114076_2018-06-20_final
2019-04-20 11:37:07	ga_ls7e_ard_3-0-0_114076_2019-04-20_final
2020-11-27 10:48:44	ga_ls7e_ard_3-1-0_111078_2020-11-27_final
2021-01-14 09:06:47	ga_ls7e_ard_3-1-0_095079_2021-01-13_final
2021-02-15 09:02:50	ga_ls7e_ard_3-2-0_095075_2021-02-14_final
2021-02-15 09:03:38	ga_ls7e_ard_3-2-0_095077_2021-02-14_final
2021-02-24 08:57:10	ga_ls7e_ard_3-2-0_094078_2021-02-23_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-04 09:46:23	ga_ls7e_ard_3-2-0_102079_2021-03-04_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-21 10:28:18	ga_ls7e_ard_3-2-0_109079_2021-03-21_final
2021-03-29 09:37:01	ga_ls7e_ard_3-2-0_101076_2021-03-29_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-03 09:53:09	ga_ls7e_ard_3-2-0_104071_2021-04-03_final
2021-04-07 09:32:06	ga_ls7e_ard_3-2-0_100081_2021-04-07_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-24 10:12:19	ga_ls7e_ard_3-2-0_107077_2021-04-24_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-04-27 10:42:58	ga_ls7e_ard_3-2-0_112077_2021-04-27_final
2021-05-12 09:56:04	ga_ls7e_ard_3-2-0_105071_2021-05-12_final
2021-05-13 10:40:50	ga_ls7e_ard_3-2-0_112075_2021-05-13_final
2021-05-13 10:41:14	ga_ls7e_ard_3-2-0_112076_2021-05-13_final
2021-05-15 08:50:38	ga_ls7e_ard_3-2-0_094078_2021-05-14_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-05-24 08:43:41	ga_ls7e_ard_3-2-0_093078_2021-05-23_final
2021-05-24 08:45:40	ga_ls7e_ard_3-2-0_093083_2021-05-23_final
2021-05-28 09:54:42	ga_ls7e_ard_3-2-0_105071_2021-05-28_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-05-31 08:48:27	ga_ls7e_ard_3-2-0_094076_2021-05-30_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-04 10:04:17	ga_ls7e_ard_3-2-0_106081_2021-06-04_final
2021-06-30 08:57:57	ga_ls7e_ard_3-2-0_096075_2021-06-29_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-08-01 10:35:41	ga_ls7e_ard_3-2-0_112079_2021-08-01_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-17 09:48:42	ga_ls7e_ard_3-2-0_105080_2021-09-17_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-06 08:37:50	ga_ls7e_ard_3-2-0_094077_2021-10-05_final
2021-10-22 08:40:00	ga_ls7e_ard_3-2-0_094086_2021-10-21_final
2021-10-24 10:02:44	ga_ls7e_ard_3-2-0_108077_2021-10-24_final
2021-11-20 09:40:01	ga_ls7e_ard_3-2-1_105073_2021-11-20_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2021-12-27 09:57:01	ga_ls7e_ard_3-2-1_108078_2021-12-27_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-01-28 09:53:31	ga_ls7e_ard_3-2-1_108077_2022-01-28_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-25 10:15:26	ga_ls7e_ard_3-2-1_112077_2022-02-25_final
2022-02-26 09:18:55	ga_ls7e_ard_3-2-1_103075_2022-02-25_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_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