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
1999-08-30 09:40:33	ga_ls7e_ard_3-0-0_095075_1999-08-30_final
2000-04-10 09:43:57	ga_ls7e_ard_3-0-0_095085_2000-04-10_final
2000-10-19 09:40:35	ga_ls7e_ard_3-0-0_095082_2000-10-19_final
2000-12-18 11:42:25	ga_ls7e_ard_3-0-0_115077_2000-12-18_final
2001-04-13 09:42:06	ga_ls7e_ard_3-0-0_095086_2001-04-13_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2002-03-31 09:38:23	ga_ls7e_ard_3-0-0_095080_2002-03-31_final
2002-09-19 11:40:34	ga_ls7e_ard_3-0-0_115079_2002-09-19_final
2003-11-13 09:36:32	ga_ls7e_ard_3-0-0_095076_2003-11-13_final
2004-12-17 09:40:00	ga_ls7e_ard_3-0-0_095083_2004-12-17_final
2005-12-04 09:40:47	ga_ls7e_ard_3-0-0_095084_2005-12-04_final
2007-03-13 09:37:43	ga_ls7e_ard_3-0-0_095074_2007-03-13_final
2007-07-03 09:37:26	ga_ls7e_ard_3-0-0_095074_2007-07-03_final
2008-05-30 11:42:41	ga_ls7e_ard_3-0-0_115079_2008-05-30_final
2008-07-05 09:37:07	ga_ls7e_ard_3-0-0_095075_2008-07-05_final
2009-12-15 09:42:11	ga_ls7e_ard_3-0-0_095084_2009-12-15_final
2011-01-03 09:43:59	ga_ls7e_ard_3-0-0_095083_2011-01-03_final
2012-08-01 09:46:08	ga_ls7e_ard_3-0-0_095084_2012-08-01_final
2012-09-02 09:47:42	ga_ls7e_ard_3-0-0_095087_2012-09-02_final
2012-12-23 09:44:32	ga_ls7e_ard_3-0-0_095077_2012-12-23_final
2013-03-29 09:43:15	ga_ls7e_ard_3-0-0_095074_2013-03-29_final
2013-04-14 09:44:00	ga_ls7e_ard_3-0-0_095076_2013-04-14_final
2014-04-01 09:44:11	ga_ls7e_ard_3-0-0_095074_2014-04-01_final
2015-01-30 09:48:15	ga_ls7e_ard_3-0-0_095080_2015-01-30_final
2015-02-15 09:48:17	ga_ls7e_ard_3-0-0_095080_2015-02-15_final
2015-04-20 09:50:01	ga_ls7e_ard_3-0-0_095083_2015-04-20_final
2015-05-22 09:51:03	ga_ls7e_ard_3-0-0_095085_2015-05-22_final
2015-09-27 09:50:46	ga_ls7e_ard_3-0-0_095083_2015-09-27_final
2016-03-05 09:51:12	ga_ls7e_ard_3-1-0_095079_2016-03-05_final
2016-11-16 09:52:08	ga_ls7e_ard_3-0-0_095080_2016-11-16_final
2017-10-18 09:53:26	ga_ls7e_ard_3-0-0_095083_2017-10-18_final
2017-12-21 09:50:18	ga_ls7e_ard_3-0-0_095076_2017-12-21_final
2018-02-23 09:49:50	ga_ls7e_ard_3-0-0_095077_2018-02-23_final
2019-06-18 09:39:30	ga_ls7e_ard_3-0-0_095081_2019-06-18_final
2019-08-05 09:38:50	ga_ls7e_ard_3-0-0_095084_2019-08-05_final
2020-01-12 09:27:32	ga_ls7e_ard_3-1-0_095074_2020-01-11_final
2020-01-12 09:29:08	ga_ls7e_ard_3-1-0_095078_2020-01-11_final
2020-06-04 09:23:55	ga_ls7e_ard_3-1-0_095085_2020-06-03_final
2020-09-24 09:15:43	ga_ls7e_ard_3-1-0_095082_2020-09-23_final
2021-02-15 09:05:38	ga_ls7e_ard_3-2-0_095082_2021-02-14_final
2021-02-17 08:53:55	ga_ls7e_ard_3-2-0_093084_2021-02-16_final
2021-02-24 10:36:27	ga_ls7e_ard_3-2-0_110079_2021-02-24_final
2021-03-01 09:16:07	ga_ls7e_ard_3-2-0_097080_2021-02-28_final
2021-03-05 10:29:10	ga_ls7e_ard_3-2-0_109078_2021-03-05_final
2021-03-06 09:31:53	ga_ls7e_ard_3-2-0_100074_2021-03-06_final
2021-03-11 09:50:25	ga_ls7e_ard_3-2-0_103075_2021-03-11_final
2021-03-17 09:14:28	ga_ls7e_ard_3-2-0_097079_2021-03-16_final
2021-04-11 09:06:38	ga_ls7e_ard_3-2-0_096080_2021-04-10_final
2021-04-17 10:07:56	ga_ls7e_ard_3-2-0_106080_2021-04-17_final
2021-04-19 09:55:24	ga_ls7e_ard_3-2-0_104080_2021-04-19_final
2021-04-24 10:12:43	ga_ls7e_ard_3-2-0_107078_2021-04-24_final
2021-04-30 09:33:32	ga_ls7e_ard_3-2-0_101074_2021-04-30_final
2021-05-01 10:18:43	ga_ls7e_ard_3-2-0_108079_2021-05-01_final
2021-05-08 10:21:55	ga_ls7e_ard_3-2-0_109073_2021-05-08_final
2021-05-11 10:50:10	ga_ls7e_ard_3-2-0_114067_2021-05-11_final
2021-05-12 09:56:52	ga_ls7e_ard_3-2-0_105073_2021-05-12_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-06-04 10:00:41	ga_ls7e_ard_3-2-0_106072_2021-06-04_final
2021-07-04 08:33:42	ga_ls7e_ard_3-2-0_092077_2021-07-03_final
2021-07-08 09:44:43	ga_ls7e_ard_3-2-0_104070_2021-07-08_final
2021-07-19 09:26:26	ga_ls7e_ard_3-2-0_101073_2021-07-18_final
2021-07-24 09:45:44	ga_ls7e_ard_3-2-0_104076_2021-07-24_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-08-10 08:50:13	ga_ls7e_ard_3-2-0_095080_2021-08-09_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-17 08:52:35	ga_ls7e_ard_3-2-0_096072_2021-08-16_final
2021-08-22 10:50:22	ga_ls7e_ard_3-2-0_115074_2021-08-22_final
2021-08-25 09:41:20	ga_ls7e_ard_3-2-0_104072_2021-08-25_final
2021-08-28 08:36:41	ga_ls7e_ard_3-2-0_093081_2021-08-27_final
2021-08-31 09:07:20	ga_ls7e_ard_3-2-0_098081_2021-08-30_final
2021-09-02 10:32:29	ga_ls7e_ard_3-2-0_112078_2021-09-02_final
2021-09-28 09:25:58	ga_ls7e_ard_3-2-0_102072_2021-09-27_final
2021-09-29 10:11:32	ga_ls7e_ard_3-2-0_109078_2021-09-29_final
2021-10-08 08:25:42	ga_ls7e_ard_3-2-0_092078_2021-10-07_final
2021-10-20 08:49:44	ga_ls7e_ard_3-2-0_096079_2021-10-19_final
2021-10-21 09:32:31	ga_ls7e_ard_3-2-0_103078_2021-10-21_final
2021-10-22 08:36:48	ga_ls7e_ard_3-2-0_094078_2021-10-21_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-29 08:42:20	ga_ls7e_ard_3-2-0_095078_2021-10-28_final
2021-10-29 10:21:13	ga_ls7e_ard_3-2-0_111078_2021-10-29_final
2021-10-30 09:23:07	ga_ls7e_ard_3-2-0_102072_2021-10-29_final
2021-11-16 10:04:44	ga_ls7e_ard_3-2-1_109072_2021-11-16_final
2021-11-16 10:07:08	ga_ls7e_ard_3-2-1_109078_2021-11-16_final
2021-11-25 10:00:28	ga_ls7e_ard_3-2-1_108079_2021-11-25_final
2021-12-16 08:39:45	ga_ls7e_ard_3-2-1_095083_2021-12-15_final
2021-12-18 10:04:05	ga_ls7e_ard_3-2-1_109078_2021-12-18_final
2021-12-25 10:10:22	ga_ls7e_ard_3-2-1_110080_2021-12-25_final
2021-12-30 08:47:56	ga_ls7e_ard_3-2-1_097076_2021-12-29_final
2022-01-01 10:16:15	ga_ls7e_ard_3-2-1_111081_2022-01-01_final
2022-01-04 09:07:10	ga_ls7e_ard_3-2-1_100079_2022-01-03_final
2022-01-08 10:20:32	ga_ls7e_ard_3-2-1_112078_2022-01-08_final
2022-01-16 09:27:10	ga_ls7e_ard_3-2-1_104070_2022-01-15_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_final
2022-02-16 08:41:59	ga_ls7e_ard_3-2-1_097073_2022-02-15_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-02-22 09:45:37	ga_ls7e_ard_3-2-1_107079_2022-02-22_final
2022-02-23 08:50:42	ga_ls7e_ard_3-2-1_098081_2022-02-22_final
2022-02-28 09:05:10	ga_ls7e_ard_3-2-1_101072_2022-02-27_final
2022-03-24 08:14:58	ga_ls7e_ard_3-2-1_093076_2022-03-23_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_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