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
2000-07-20 11:37:36	ga_ls7e_ard_3-0-0_114078_2000-07-20_final
2000-08-05 11:37:21	ga_ls7e_ard_3-0-0_114078_2000-08-05_final
2000-12-18 11:42:25	ga_ls7e_ard_3-0-0_115077_2000-12-18_final
2001-03-01 11:35:21	ga_ls7e_ard_3-0-0_114075_2001-03-01_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2002-07-10 11:34:37	ga_ls7e_ard_3-0-0_114078_2002-07-10_final
2002-09-19 11:40:34	ga_ls7e_ard_3-0-0_115079_2002-09-19_final
2003-01-18 11:33:29	ga_ls7e_ard_3-0-0_114075_2003-01-18_final
2003-11-02 11:35:02	ga_ls7e_ard_3-0-0_114079_2003-11-02_final
2004-01-21 11:34:50	ga_ls7e_ard_3-0-0_114077_2004-01-21_final
2005-07-18 11:35:39	ga_ls7e_ard_3-0-0_114078_2005-07-18_final
2008-05-30 11:42:41	ga_ls7e_ard_3-0-0_115079_2008-05-30_final
2008-07-10 11:36:05	ga_ls7e_ard_3-0-0_114079_2008-07-10_final
2008-12-17 11:35:20	ga_ls7e_ard_3-0-0_114077_2008-12-17_final
2010-07-16 11:38:03	ga_ls7e_ard_3-0-0_114077_2010-07-16_final
2011-03-13 11:39:47	ga_ls7e_ard_3-0-0_114078_2011-03-13_final
2011-03-29 11:39:25	ga_ls7e_ard_3-0-0_114077_2011-03-29_final
2011-06-17 11:40:12	ga_ls7e_ard_3-0-0_114079_2011-06-17_final
2011-07-03 11:40:08	ga_ls7e_ard_3-0-0_114079_2011-07-03_final
2011-08-20 11:38:49	ga_ls7e_ard_3-0-0_114076_2011-08-20_final
2011-10-07 11:39:50	ga_ls7e_ard_3-0-0_114079_2011-10-07_final
2012-03-31 11:40:20	ga_ls7e_ard_3-0-0_114078_2012-03-31_final
2012-08-06 11:41:15	ga_ls7e_ard_3-0-0_114078_2012-08-06_final
2014-07-11 11:42:33	ga_ls7e_ard_3-0-0_114075_2014-07-11_final
2015-01-19 11:43:58	ga_ls7e_ard_3-0-0_114076_2015-01-19_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2016-01-06 11:48:07	ga_ls7e_ard_3-0-0_114079_2016-01-06_final
2016-01-22 11:48:20	ga_ls7e_ard_3-0-0_114079_2016-01-22_final
2019-01-30 11:40:55	ga_ls7e_ard_3-0-0_114079_2019-01-30_final
2020-09-29 11:10:26	ga_ls7e_ard_3-1-0_114076_2020-09-29_final
2020-11-26 10:02:21	ga_ls7e_ard_3-1-0_104070_2020-11-26_final
2020-11-28 09:53:26	ga_ls7e_ard_3-1-0_102079_2020-11-28_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-13 10:47:09	ga_ls7e_ard_3-1-0_111077_2020-12-13_final
2020-12-29 09:10:17	ga_ls7e_ard_3-1-0_095085_2020-12-28_final
2021-01-05 09:14:23	ga_ls7e_ard_3-1-0_096081_2021-01-04_final
2021-01-20 10:08:57	ga_ls7e_ard_3-2-0_105081_2021-01-20_final
2021-01-26 09:28:38	ga_ls7e_ard_3-2-0_099074_2021-01-25_final
2021-02-03 10:18:17	ga_ls7e_ard_3-2-0_107076_2021-02-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years