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
2001-11-05 11:30:25	ga_ls7e_ard_3-0-0_113083_2001-11-05_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-12-08 11:40:15	ga_ls7e_ard_3-1-0_115077_2002-12-08_final
2005-02-15 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-02-15_final
2005-06-25 11:31:03	ga_ls7e_ard_3-0-0_113082_2005-06-25_final
2006-04-09 11:31:17	ga_ls7e_ard_3-0-0_113081_2006-04-09_final
2006-09-07 11:34:37	ga_ls7e_ard_3-0-0_114075_2006-09-07_final
2006-10-16 11:40:18	ga_ls7e_ard_3-0-0_115074_2006-10-16_final
2006-10-25 11:34:16	ga_ls7e_ard_3-0-0_114074_2006-10-25_final
2006-12-03 11:40:54	ga_ls7e_ard_3-0-0_115074_2006-12-03_final
2007-05-12 11:41:12	ga_ls7e_ard_3-0-0_115074_2007-05-12_final
2007-07-31 11:40:56	ga_ls7e_ard_3-0-0_115074_2007-07-31_final
2007-09-01 11:40:43	ga_ls7e_ard_3-0-0_115074_2007-09-01_final
2007-11-13 11:35:31	ga_ls7e_ard_3-0-0_114076_2007-11-13_final
2009-02-03 11:34:24	ga_ls7e_ard_3-0-0_114074_2009-02-03_final
2009-03-23 11:32:03	ga_ls7e_ard_3-0-0_114067_2009-03-23_final
2009-03-30 11:43:03	ga_ls7e_ard_3-0-0_115079_2009-03-30_final
2010-01-30 11:33:46	ga_ls7e_ard_3-0-0_113083_2010-01-30_final
2010-04-18 11:43:49	ga_ls7e_ard_3-0-0_115076_2010-04-18_final
2011-03-04 11:45:56	ga_ls7e_ard_3-0-0_115078_2011-03-04_final
2011-04-21 11:44:24	ga_ls7e_ard_3-0-0_115074_2011-04-21_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2013-05-12 11:46:41	ga_ls7e_ard_3-0-0_115074_2013-05-12_final
2014-03-28 11:49:45	ga_ls7e_ard_3-0-0_115079_2014-03-28_final
2014-05-31 11:48:11	ga_ls7e_ard_3-0-0_115074_2014-05-31_final
2015-01-10 11:50:58	ga_ls7e_ard_3-0-0_115078_2015-01-10_final
2015-03-15 11:50:10	ga_ls7e_ard_3-0-0_115075_2015-03-15_final
2015-06-03 11:50:21	ga_ls7e_ard_3-0-0_115074_2015-06-03_final
2015-10-09 11:50:53	ga_ls7e_ard_3-0-0_115074_2015-10-09_final
2015-12-05 11:47:13	ga_ls7e_ard_3-0-0_114078_2015-12-05_final
2016-04-27 11:49:22	ga_ls7e_ard_3-0-0_114080_2016-04-27_final
2016-07-07 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-07-07_final
2017-02-16 11:52:46	ga_ls7e_ard_3-0-0_115074_2017-02-16_final
2017-11-08 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-11-08_final
2020-11-29 08:59:44	ga_ls7e_ard_3-1-0_093084_2020-11-28_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2020-12-18 09:22:50	ga_ls7e_ard_3-1-0_098068_2020-12-17_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-24 10:24:35	ga_ls7e_ard_3-1-0_108069_2020-12-24_final
2020-12-27 09:21:59	ga_ls7e_ard_3-1-0_097083_2020-12-26_final
2021-01-03 09:26:05	ga_ls7e_ard_3-1-0_098079_2021-01-02_final
2021-01-07 10:37:11	ga_ls7e_ard_3-1-0_110072_2021-01-07_final
2021-01-10 11:09:04	ga_ls7e_ard_3-1-0_115075_2021-01-10_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-15 09:45:59	ga_ls7e_ard_3-1-0_102069_2021-01-15_final
2021-01-28 10:57:48	ga_ls7e_ard_3-2-0_113081_2021-01-28_final
2021-02-14 09:58:32	ga_ls7e_ard_3-2-0_104075_2021-02-14_final
2021-02-19 10:15:06	ga_ls7e_ard_3-2-0_107071_2021-02-19_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-03-04 09:42:48	ga_ls7e_ard_3-2-0_102070_2021-03-04_final
2021-03-15 11:04:16	ga_ls7e_ard_3-2-0_115075_2021-03-15_final
2021-03-26 10:44:27	ga_ls7e_ard_3-2-0_112074_2021-03-26_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_final
2021-05-11 09:15:17	ga_ls7e_ard_3-2-0_098077_2021-05-10_final
2021-05-17 08:40:53	ga_ls7e_ard_3-2-0_092085_2021-05-16_final
2021-05-19 10:04:51	ga_ls7e_ard_3-2-0_106079_2021-05-19_final
2021-06-03 09:17:30	ga_ls7e_ard_3-2-0_099072_2021-06-02_final
2021-06-30 08:59:33	ga_ls7e_ard_3-2-0_096079_2021-06-29_final
2021-07-06 09:59:39	ga_ls7e_ard_3-2-0_106076_2021-07-06_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-07-07 10:39:14	ga_ls7e_ard_3-2-0_113067_2021-07-07_final
2021-07-10 09:32:12	ga_ls7e_ard_3-2-0_102070_2021-07-10_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-20 10:08:49	ga_ls7e_ard_3-2-0_108071_2021-07-20_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-08-03 10:18:21	ga_ls7e_ard_3-2-0_110067_2021-08-03_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-01 09:45:19	ga_ls7e_ard_3-2-0_105068_2021-09-01_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-07 09:08:07	ga_ls7e_ard_3-2-0_099069_2021-09-06_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-10 09:49:38	ga_ls7e_ard_3-2-0_106072_2021-10-10_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-10-27 08:55:17	ga_ls7e_ard_3-2-0_097079_2021-10-26_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-11-23 10:11:01	ga_ls7e_ard_3-2-1_110074_2021-11-23_final
2021-11-27 08:13:03	ga_ls7e_ard_3-2-1_090089_2021-11-26_final
2021-11-28 08:48:14	ga_ls7e_ard_3-2-1_097069_2021-11-27_final
2021-11-28 10:29:06	ga_ls7e_ard_3-2-1_113074_2021-11-28_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-04 08:16:35	ga_ls7e_ard_3-2-1_091084_2021-12-03_final
2021-12-08 09:24:22	ga_ls7e_ard_3-2-1_103069_2021-12-07_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2022-01-02 09:16:32	ga_ls7e_ard_3-2-1_102071_2022-01-01_final
2022-01-14 08:06:25	ga_ls7e_ard_3-2-1_090084_2022-01-13_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-01-19 09:59:46	ga_ls7e_ard_3-2-1_109075_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-02-01 09:26:24	ga_ls7e_ard_3-2-1_104072_2022-01-31_final
2022-02-06 08:08:45	ga_ls7e_ard_3-2-1_091080_2022-02-05_final
2022-02-22 09:42:26	ga_ls7e_ard_3-2-1_107071_2022-02-22_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_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