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
1999-07-09 11:44:47	ga_ls7e_ard_3-0-0_115077_1999-07-09_final
1999-08-10 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-08-10_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2000-09-13 11:42:39	ga_ls7e_ard_3-1-0_115077_2000-09-13_final
2002-11-22 11:40:56	ga_ls7e_ard_3-0-0_115079_2002-11-22_final
2002-12-08 11:40:15	ga_ls7e_ard_3-1-0_115077_2002-12-08_final
2003-11-09 11:40:05	ga_ls7e_ard_3-0-0_115076_2003-11-09_final
2004-12-22 11:36:17	ga_ls7e_ard_3-0-0_114080_2004-12-22_final
2006-03-15 11:37:31	ga_ls7e_ard_3-0-0_114081_2006-03-15_final
2007-08-16 11:41:14	ga_ls7e_ard_3-0-0_115075_2007-08-16_final
2007-11-29 11:37:14	ga_ls7e_ard_3-0-0_114080_2007-11-29_final
2008-02-17 11:36:05	ga_ls7e_ard_3-0-0_114077_2008-02-17_final
2008-02-17 11:36:29	ga_ls7e_ard_3-0-0_114078_2008-02-17_final
2008-05-23 11:36:58	ga_ls7e_ard_3-0-0_114080_2008-05-23_final
2008-12-24 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-12-24_final
2009-02-03 11:35:36	ga_ls7e_ard_3-0-0_114077_2009-02-03_final
2009-06-27 11:36:13	ga_ls7e_ard_3-0-0_114077_2009-06-27_final
2009-06-27 11:36:37	ga_ls7e_ard_3-0-0_114078_2009-06-27_final
2009-08-14 11:36:23	ga_ls7e_ard_3-0-0_114078_2009-08-14_final
2010-05-13 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-05-13_final
2010-08-17 11:38:03	ga_ls7e_ard_3-0-0_114077_2010-08-17_final
2011-12-10 11:40:24	ga_ls7e_ard_3-0-0_114079_2011-12-10_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2014-11-16 11:43:40	ga_ls7e_ard_3-0-0_114076_2014-11-16_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-02-04 11:44:31	ga_ls7e_ard_3-0-0_114077_2015-02-04_final
2015-03-31 11:49:52	ga_ls7e_ard_3-0-0_115074_2015-03-31_final
2015-06-03 11:52:20	ga_ls7e_ard_3-0-0_115079_2015-06-03_final
2016-09-09 11:53:31	ga_ls7e_ard_3-0-0_115074_2016-09-09_final
2016-12-23 11:47:25	ga_ls7e_ard_3-0-0_114075_2016-12-23_final
2017-04-07 11:44:43	ga_ls7e_ard_3-0-0_113084_2017-04-07_final
2017-05-16 11:48:43	ga_ls7e_ard_3-0-0_114078_2017-05-16_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2018-12-29 11:41:56	ga_ls7e_ard_3-0-0_114079_2018-12-29_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-03-12 11:29:14	ga_ls7e_ard_3-1-0_115077_2020-03-12_final
2020-07-11 11:16:21	ga_ls7e_ard_3-1-0_114078_2020-07-11_final
2020-08-12 11:14:45	ga_ls7e_ard_3-1-0_114079_2020-08-12_final
2020-11-26 10:03:33	ga_ls7e_ard_3-1-0_104073_2020-11-26_final
2020-12-17 10:21:43	ga_ls7e_ard_3-1-0_107076_2020-12-17_final
2020-12-22 10:43:04	ga_ls7e_ard_3-1-0_110084_2020-12-22_final
2020-12-23 09:42:35	ga_ls7e_ard_3-1-0_101072_2020-12-23_final
2020-12-23 09:45:23	ga_ls7e_ard_3-1-0_101079_2020-12-23_final
2021-01-16 10:29:34	ga_ls7e_ard_3-1-0_109070_2021-01-16_final
2021-01-25 10:25:08	ga_ls7e_ard_3-2-0_108076_2021-01-25_final
2021-02-15 10:44:07	ga_ls7e_ard_3-2-0_111081_2021-02-15_final
2021-02-16 09:46:49	ga_ls7e_ard_3-2-0_102077_2021-02-16_final
2021-02-19 10:16:42	ga_ls7e_ard_3-2-0_107075_2021-02-19_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-02-28 10:10:37	ga_ls7e_ard_3-2-0_106077_2021-02-28_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-08 09:18:34	ga_ls7e_ard_3-2-0_098072_2021-03-07_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-05 09:41:26	ga_ls7e_ard_3-2-0_102073_2021-04-05_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-04-18 10:52:43	ga_ls7e_ard_3-2-0_113084_2021-04-18_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-18 09:17:41	ga_ls7e_ard_3-2-0_099069_2021-05-17_final
2021-05-27 09:16:43	ga_ls7e_ard_3-2-0_098084_2021-05-26_final
2021-06-02 08:36:19	ga_ls7e_ard_3-2-0_092077_2021-06-01_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-20 08:23:18	ga_ls7e_ard_3-2-0_090079_2021-06-19_final
2021-06-20 08:24:06	ga_ls7e_ard_3-2-0_090081_2021-06-19_final
2021-06-20 08:24:54	ga_ls7e_ard_3-2-0_090083_2021-06-19_final
2021-06-24 09:37:56	ga_ls7e_ard_3-2-0_102081_2021-06-24_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-13 08:28:21	ga_ls7e_ard_3-2-0_091081_2021-07-12_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-29 08:29:45	ga_ls7e_ard_3-2-0_091088_2021-07-28_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-08-05 08:32:55	ga_ls7e_ard_3-2-0_092082_2021-08-04_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-09-18 10:26:41	ga_ls7e_ard_3-2-0_112067_2021-09-18_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-11 08:12:36	ga_ls7e_ard_3-2-0_090084_2021-11-10_final
2021-12-28 10:39:23	ga_ls7e_ard_3-2-1_115076_2021-12-28_final
2021-12-29 09:44:27	ga_ls7e_ard_3-2-1_106078_2021-12-29_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-01-22 08:49:06	ga_ls7e_ard_3-2-1_098069_2022-01-21_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_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