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
1999-11-30 11:44:23	ga_ls7e_ard_3-0-0_115076_1999-11-30_final
2000-01-01 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-01_final
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-07-27 11:42:00	ga_ls7e_ard_3-1-0_115074_2000-07-27_final
2000-10-31 11:41:34	ga_ls7e_ard_3-0-0_115075_2000-10-31_final
2000-10-31 11:43:10	ga_ls7e_ard_3-0-0_115079_2000-10-31_final
2000-12-02 11:42:45	ga_ls7e_ard_3-0-0_115078_2000-12-02_final
2001-02-04 11:42:50	ga_ls7e_ard_3-0-0_115078_2001-02-04_final
2001-03-24 11:41:23	ga_ls7e_ard_3-0-0_115075_2001-03-24_final
2001-10-02 11:41:06	ga_ls7e_ard_3-0-0_115079_2001-10-02_final
2002-03-27 11:39:37	ga_ls7e_ard_3-0-0_115074_2002-03-27_final
2002-10-05 11:38:31	ga_ls7e_ard_3-0-0_115074_2002-10-05_final
2004-01-28 11:40:16	ga_ls7e_ard_3-0-0_115075_2004-01-28_final
2004-02-13 11:39:55	ga_ls7e_ard_3-0-0_115074_2004-02-13_final
2004-12-29 11:41:44	ga_ls7e_ard_3-0-0_115078_2004-12-29_final
2005-11-14 11:40:17	ga_ls7e_ard_3-0-0_115074_2005-11-14_final
2007-08-16 11:40:50	ga_ls7e_ard_3-0-0_115074_2007-08-16_final
2008-02-08 11:42:42	ga_ls7e_ard_3-0-0_115078_2008-02-08_final
2008-09-12 11:35:33	ga_ls7e_ard_3-0-0_114079_2008-09-12_final
2010-03-10 11:39:31	ga_ls7e_ard_3-0-0_114081_2010-03-10_final
2010-04-27 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-04-27_final
2010-11-12 11:45:05	ga_ls7e_ard_3-0-0_115078_2010-11-12_final
2011-12-17 11:46:14	ga_ls7e_ard_3-0-0_115078_2011-12-17_final
2012-06-10 11:46:46	ga_ls7e_ard_3-0-0_115078_2012-06-10_final
2012-12-03 11:46:47	ga_ls7e_ard_3-0-0_115074_2012-12-03_final
2014-03-28 11:49:45	ga_ls7e_ard_3-0-0_115079_2014-03-28_final
2014-07-02 11:48:19	ga_ls7e_ard_3-0-0_115074_2014-07-02_final
2014-10-15 11:45:23	ga_ls7e_ard_3-0-0_114081_2014-10-15_final
2015-07-05 11:50:29	ga_ls7e_ard_3-0-0_115074_2015-07-05_final
2016-02-07 11:49:16	ga_ls7e_ard_3-0-0_114081_2016-02-07_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-10-30 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-30_final
2019-07-16 11:39:39	ga_ls7e_ard_3-0-0_115075_2019-07-16_final
2019-10-04 11:35:53	ga_ls7e_ard_3-1-0_115074_2019-10-04_final
2020-04-29 11:27:17	ga_ls7e_ard_3-1-0_115079_2020-04-29_final
2020-11-29 08:56:33	ga_ls7e_ard_3-1-0_093076_2020-11-28_final
2020-11-29 08:59:21	ga_ls7e_ard_3-1-0_093083_2020-11-28_final
2020-11-30 09:38:32	ga_ls7e_ard_3-1-0_100073_2020-11-30_final
2020-12-06 10:39:30	ga_ls7e_ard_3-1-0_110072_2020-12-06_final
2020-12-10 08:38:47	ga_ls7e_ard_3-1-0_090080_2020-12-09_final
2020-12-13 10:45:33	ga_ls7e_ard_3-1-0_111073_2020-12-13_final
2020-12-13 10:46:45	ga_ls7e_ard_3-1-0_111076_2020-12-13_final
2020-12-18 09:24:50	ga_ls7e_ard_3-1-0_098073_2020-12-17_final
2020-12-18 11:05:18	ga_ls7e_ard_3-1-0_114077_2020-12-18_final
2021-01-03 09:25:17	ga_ls7e_ard_3-1-0_098077_2021-01-02_final
2021-01-10 09:27:23	ga_ls7e_ard_3-1-0_099068_2021-01-09_final
2021-01-24 09:40:21	ga_ls7e_ard_3-2-0_101072_2021-01-24_final
2021-02-03 08:42:12	ga_ls7e_ard_3-2-0_091083_2021-02-02_final
2021-02-04 09:21:00	ga_ls7e_ard_3-2-0_098072_2021-02-03_final
2021-02-10 08:48:40	ga_ls7e_ard_3-2-0_092085_2021-02-09_final
2021-02-11 11:07:08	ga_ls7e_ard_3-2-0_115076_2021-02-11_final
2021-03-16 08:32:05	ga_ls7e_ard_3-2-0_090081_2021-03-15_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-23 09:29:09	ga_ls7e_ard_3-2-0_100077_2021-04-22_final
2021-04-30 09:36:20	ga_ls7e_ard_3-2-0_101081_2021-04-30_final
2021-05-10 08:34:06	ga_ls7e_ard_3-2-0_091082_2021-05-09_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-05-26 10:11:37	ga_ls7e_ard_3-2-0_107082_2021-05-26_final
2021-05-31 08:50:51	ga_ls7e_ard_3-2-0_094082_2021-05-30_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-04 08:25:48	ga_ls7e_ard_3-2-0_090082_2021-06-03_final
2021-06-07 10:29:45	ga_ls7e_ard_3-2-0_111068_2021-06-07_final
2021-06-27 08:28:06	ga_ls7e_ard_3-2-0_091077_2021-06-26_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-04 09:29:02	ga_ls7e_ard_3-2-0_101083_2021-08-03_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-02 10:31:17	ga_ls7e_ard_3-2-0_112075_2021-09-02_final
2021-09-08 08:18:23	ga_ls7e_ard_3-2-0_090084_2021-09-07_final
2021-09-16 09:01:08	ga_ls7e_ard_3-2-0_098069_2021-09-15_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-10-21 09:33:18	ga_ls7e_ard_3-2-0_103080_2021-10-21_final
2021-10-22 08:39:12	ga_ls7e_ard_3-2-0_094084_2021-10-21_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-10-29 08:43:08	ga_ls7e_ard_3-2-0_095080_2021-10-28_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-03 08:58:01	ga_ls7e_ard_3-2-0_098072_2021-11-02_final
2021-11-16 10:04:20	ga_ls7e_ard_3-2-1_109071_2021-11-16_final
2021-11-17 09:09:01	ga_ls7e_ard_3-2-1_100072_2021-11-16_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-26 10:42:03	ga_ls7e_ard_3-2-1_115075_2021-11-26_final
2021-11-27 08:09:51	ga_ls7e_ard_3-2-1_090081_2021-11-26_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2021-12-30 08:50:44	ga_ls7e_ard_3-2-1_097083_2021-12-29_final
2022-01-13 10:37:01	ga_ls7e_ard_3-2-1_115074_2022-01-13_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-01-30 08:03:16	ga_ls7e_ard_3-2-1_090080_2022-01-29_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-02-27 08:26:00	ga_ls7e_ard_3-2-1_094082_2022-02-26_final
2022-03-01 08:12:39	ga_ls7e_ard_3-2-1_092080_2022-02-28_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_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