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
2001-12-05 11:41:16	ga_ls7e_ard_3-0-0_115079_2001-12-05_final
2002-06-08 11:34:48	ga_ls7e_ard_3-0-0_114078_2002-06-08_final
2002-11-06 11:39:05	ga_ls7e_ard_3-0-0_115075_2002-11-06_final
2004-09-17 11:35:15	ga_ls7e_ard_3-0-0_114079_2004-09-17_final
2004-10-19 11:35:42	ga_ls7e_ard_3-0-0_114080_2004-10-19_final
2006-07-12 11:41:25	ga_ls7e_ard_3-0-0_115076_2006-07-12_final
2006-08-06 11:36:18	ga_ls7e_ard_3-0-0_114079_2006-08-06_final
2007-03-18 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-03-18_final
2007-03-25 11:43:20	ga_ls7e_ard_3-0-0_115079_2007-03-25_final
2007-07-24 11:36:23	ga_ls7e_ard_3-0-0_114078_2007-07-24_final
2007-10-19 11:41:02	ga_ls7e_ard_3-0-0_115075_2007-10-19_final
2008-03-20 11:36:46	ga_ls7e_ard_3-0-0_114079_2008-03-20_final
2009-06-02 11:43:15	ga_ls7e_ard_3-0-0_115079_2009-06-02_final
2009-07-13 11:37:21	ga_ls7e_ard_3-0-0_114080_2009-07-13_final
2009-09-06 11:41:46	ga_ls7e_ard_3-0-0_115076_2009-09-06_final
2009-12-04 11:37:27	ga_ls7e_ard_3-0-0_114079_2009-12-04_final
2010-04-11 11:39:14	ga_ls7e_ard_3-0-0_114080_2010-04-11_final
2011-10-14 11:44:27	ga_ls7e_ard_3-0-0_115075_2011-10-14_final
2013-02-21 11:47:47	ga_ls7e_ard_3-0-0_115076_2013-02-21_final
2013-06-06 11:42:18	ga_ls7e_ard_3-0-0_114079_2013-06-06_final
2013-09-17 11:46:28	ga_ls7e_ard_3-0-0_115074_2013-09-17_final
2014-02-24 11:49:31	ga_ls7e_ard_3-0-0_115079_2014-02-24_final
2015-08-15 11:46:04	ga_ls7e_ard_3-0-0_114078_2015-08-15_final
2015-09-16 11:46:33	ga_ls7e_ard_3-0-0_114079_2015-09-16_final
2015-09-23 11:51:10	ga_ls7e_ard_3-0-0_115075_2015-09-23_final
2016-11-28 11:54:07	ga_ls7e_ard_3-0-0_115076_2016-11-28_final
2017-01-08 11:48:27	ga_ls7e_ard_3-0-0_114078_2017-01-08_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2018-07-06 11:45:31	ga_ls7e_ard_3-0-0_114078_2018-07-06_final
2018-07-22 11:44:02	ga_ls7e_ard_3-0-0_114075_2018-07-22_final
2018-11-18 11:48:03	ga_ls7e_ard_3-0-0_115076_2018-11-18_final
2020-02-18 11:23:30	ga_ls7e_ard_3-1-0_114075_2020-02-18_final
2020-02-25 11:30:06	ga_ls7e_ard_3-1-0_115077_2020-02-25_final
2020-10-15 11:09:48	ga_ls7e_ard_3-1-0_114077_2020-10-15_final
2020-11-29 09:00:08	ga_ls7e_ard_3-1-0_093085_2020-11-28_final
2021-01-02 08:42:54	ga_ls7e_ard_3-1-0_091079_2021-01-01_final
2021-01-02 08:44:06	ga_ls7e_ard_3-1-0_091082_2021-01-01_final
2021-01-12 09:18:29	ga_ls7e_ard_3-1-0_097077_2021-01-11_final
2021-01-23 10:39:14	ga_ls7e_ard_3-2-0_110080_2021-01-23_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-17 08:53:55	ga_ls7e_ard_3-2-0_093084_2021-02-16_final
2021-02-19 10:18:17	ga_ls7e_ard_3-2-0_107079_2021-02-19_final
2021-02-26 08:45:03	ga_ls7e_ard_3-2-0_092079_2021-02-25_final
2021-03-09 10:05:20	ga_ls7e_ard_3-2-0_105081_2021-03-09_final
2021-03-15 09:28:11	ga_ls7e_ard_3-2-0_099082_2021-03-14_final
2021-03-23 10:16:35	ga_ls7e_ard_3-2-0_107081_2021-03-23_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-28 10:35:31	ga_ls7e_ard_3-2-0_110083_2021-03-28_final
2021-03-29 09:39:01	ga_ls7e_ard_3-2-0_101081_2021-03-29_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-15 08:41:11	ga_ls7e_ard_3-2-0_092079_2021-04-14_final
2021-04-22 08:47:34	ga_ls7e_ard_3-2-0_093081_2021-04-21_final
2021-04-25 09:14:37	ga_ls7e_ard_3-2-0_098072_2021-04-24_final
2021-05-01 08:40:38	ga_ls7e_ard_3-2-0_092081_2021-04-30_final
2021-05-05 09:49:16	ga_ls7e_ard_3-2-0_104068_2021-05-05_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-12 09:54:52	ga_ls7e_ard_3-2-0_105068_2021-05-12_final
2021-06-05 10:47:51	ga_ls7e_ard_3-2-0_113082_2021-06-05_final
2021-06-13 09:52:59	ga_ls7e_ard_3-2-0_105070_2021-06-13_final
2021-06-23 08:53:33	ga_ls7e_ard_3-2-0_095078_2021-06-22_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-07-07 09:03:09	ga_ls7e_ard_3-2-0_097074_2021-07-06_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-05 10:07:01	ga_ls7e_ard_3-2-0_108070_2021-08-05_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-22 09:09:54	ga_ls7e_ard_3-2-0_099070_2021-08-21_final
2021-08-23 08:20:11	ga_ls7e_ard_3-2-0_090085_2021-08-22_final
2021-08-24 08:57:46	ga_ls7e_ard_3-2-0_097071_2021-08-23_final
2021-08-30 08:22:10	ga_ls7e_ard_3-2-0_091076_2021-08-29_final
2021-08-30 10:02:14	ga_ls7e_ard_3-2-0_107079_2021-08-30_final
2021-09-02 08:52:00	ga_ls7e_ard_3-2-0_096074_2021-09-01_final
2021-09-08 09:53:17	ga_ls7e_ard_3-2-0_106074_2021-09-08_final
2021-09-22 10:07:35	ga_ls7e_ard_3-2-0_108082_2021-09-22_final
2021-09-27 08:44:00	ga_ls7e_ard_3-2-0_095075_2021-09-26_final
2021-10-02 09:00:54	ga_ls7e_ard_3-2-0_098072_2021-10-01_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-10-19 09:42:39	ga_ls7e_ard_3-2-0_105072_2021-10-19_final
2021-10-31 08:30:35	ga_ls7e_ard_3-2-0_093080_2021-10-30_final
2021-11-09 09:58:03	ga_ls7e_ard_3-2-0_108069_2021-11-09_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-18 08:17:18	ga_ls7e_ard_3-2-1_091082_2021-11-17_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-11-30 08:41:16	ga_ls7e_ard_3-2-1_095083_2021-11-29_final
2021-12-02 08:29:31	ga_ls7e_ard_3-2-1_093085_2021-12-01_final
2021-12-05 10:35:02	ga_ls7e_ard_3-2-1_114075_2021-12-05_final
2021-12-13 09:44:02	ga_ls7e_ard_3-2-1_106073_2021-12-13_final
2021-12-14 08:48:19	ga_ls7e_ard_3-2-1_097073_2021-12-13_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2021-12-30 08:50:20	ga_ls7e_ard_3-2-1_097082_2021-12-29_final
2022-01-02 09:17:44	ga_ls7e_ard_3-2-1_102074_2022-01-01_final
2022-01-03 08:24:48	ga_ls7e_ard_3-2-1_093081_2022-01-02_final
2022-01-03 10:02:53	ga_ls7e_ard_3-2-1_109079_2022-01-03_final
2022-01-03 10:03:17	ga_ls7e_ard_3-2-1_109080_2022-01-03_final
2022-01-25 09:23:42	ga_ls7e_ard_3-2-1_103079_2022-01-24_final
2022-02-07 08:51:54	ga_ls7e_ard_3-2-1_098080_2022-02-06_final
2022-02-09 08:37:20	ga_ls7e_ard_3-2-1_096075_2022-02-08_final
2022-02-16 10:23:40	ga_ls7e_ard_3-2-1_113080_2022-02-16_final
2022-02-21 09:02:51	ga_ls7e_ard_3-2-1_100080_2022-02-20_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_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