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
2000-02-02 11:45:11	ga_ls7e_ard_3-0-0_115078_2000-02-02_final
2000-03-30 11:37:33	ga_ls7e_ard_3-1-0_114075_2000-03-30_final
2000-04-08 11:34:51	ga_ls7e_ard_3-0-0_113084_2000-04-08_final
2002-02-09 11:27:21	ga_ls7e_ard_3-0-0_113074_2002-02-09_final
2002-07-19 11:29:57	ga_ls7e_ard_3-0-0_113082_2002-07-19_final
2003-03-30 11:39:54	ga_ls7e_ard_3-0-0_115075_2003-03-30_final
2004-01-21 11:34:02	ga_ls7e_ard_3-0-0_114075_2004-01-21_final
2004-12-15 11:28:02	ga_ls7e_ard_3-0-0_113075_2004-12-15_final
2004-12-22 11:35:29	ga_ls7e_ard_3-0-0_114078_2004-12-22_final
2005-01-23 11:34:49	ga_ls7e_ard_3-0-0_114076_2005-01-23_final
2005-01-23 11:35:13	ga_ls7e_ard_3-0-0_114077_2005-01-23_final
2005-08-21 11:25:33	ga_ls7e_ard_3-0-0_112084_2005-08-21_final
2005-09-13 11:24:43	ga_ls7e_ard_3-0-0_113067_2005-09-13_final
2005-09-20 11:33:42	ga_ls7e_ard_3-0-0_114074_2005-09-20_final
2006-09-16 11:25:11	ga_ls7e_ard_3-0-0_113067_2006-09-16_final
2007-11-15 11:25:58	ga_ls7e_ard_3-0-0_112083_2007-11-15_final
2008-12-17 11:35:44	ga_ls7e_ard_3-0-0_114078_2008-12-17_final
2010-04-02 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-02_final
2010-07-18 11:27:41	ga_ls7e_ard_3-0-0_112082_2010-07-18_final
2010-11-21 11:39:25	ga_ls7e_ard_3-0-0_114079_2010-11-21_final
2012-01-11 11:39:51	ga_ls7e_ard_3-0-0_114077_2012-01-11_final
2012-04-16 11:40:17	ga_ls7e_ard_3-0-0_114078_2012-04-16_final
2012-07-14 11:33:13	ga_ls7e_ard_3-0-0_113074_2012-07-14_final
2013-11-22 11:34:39	ga_ls7e_ard_3-0-0_113074_2013-11-22_final
2014-06-16 11:48:12	ga_ls7e_ard_3-0-0_115074_2014-06-16_final
2014-06-18 11:38:14	ga_ls7e_ard_3-0-0_113080_2014-06-18_final
2015-04-18 11:41:16	ga_ls7e_ard_3-0-0_113083_2015-04-18_final
2015-08-31 11:46:51	ga_ls7e_ard_3-0-0_114080_2015-08-31_final
2016-02-23 11:48:05	ga_ls7e_ard_3-0-0_114078_2016-02-23_final
2016-08-10 11:44:16	ga_ls7e_ard_3-0-0_113082_2016-08-10_final
2017-07-10 11:54:16	ga_ls7e_ard_3-0-0_115076_2017-07-10_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2017-08-06 11:38:29	ga_ls7e_ard_3-0-0_112083_2017-08-06_final
2017-10-23 11:47:16	ga_ls7e_ard_3-0-0_114074_2017-10-23_final
2018-01-04 11:43:46	ga_ls7e_ard_3-0-0_113082_2018-01-04_final
2018-08-23 11:43:02	ga_ls7e_ard_3-0-0_114074_2018-08-23_final
2019-04-06 11:27:40	ga_ls7e_ard_3-0-0_112082_2019-04-06_final
2019-05-24 11:25:03	ga_ls7e_ard_3-0-0_112080_2019-05-24_final
2019-10-04 11:36:40	ga_ls7e_ard_3-1-0_115076_2019-10-04_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-03-21 11:23:22	ga_ls7e_ard_3-1-0_114079_2020-03-21_final
2020-08-12 11:13:09	ga_ls7e_ard_3-1-0_114075_2020-08-12_final
2020-10-31 11:07:33	ga_ls7e_ard_3-1-0_114074_2020-10-31_final
2020-11-23 09:36:27	ga_ls7e_ard_3-1-0_099082_2020-11-23_final
2020-11-25 09:23:09	ga_ls7e_ard_3-1-0_097080_2020-11-24_final
2020-11-28 09:49:03	ga_ls7e_ard_3-1-0_102068_2020-11-28_final
2020-12-02 09:25:38	ga_ls7e_ard_3-1-0_098072_2020-12-01_final
2020-12-07 09:43:48	ga_ls7e_ard_3-1-0_101072_2020-12-07_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2020-12-31 10:33:29	ga_ls7e_ard_3-1-0_109077_2020-12-31_final
2021-01-07 09:04:17	ga_ls7e_ard_3-1-0_094087_2021-01-06_final
2021-01-23 10:40:02	ga_ls7e_ard_3-2-0_110082_2021-01-23_final
2021-01-28 09:20:08	ga_ls7e_ard_3-2-0_097084_2021-01-27_final
2021-02-10 08:49:04	ga_ls7e_ard_3-2-0_092086_2021-02-09_final
2021-02-13 10:56:37	ga_ls7e_ard_3-2-0_113081_2021-02-13_final
2021-02-19 10:20:17	ga_ls7e_ard_3-2-0_107084_2021-02-19_final
2021-03-07 08:39:22	ga_ls7e_ard_3-2-0_091082_2021-03-06_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-04-24 10:09:56	ga_ls7e_ard_3-2-0_107071_2021-04-24_final
2021-04-25 10:55:30	ga_ls7e_ard_3-2-0_114077_2021-04-25_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-05-25 09:24:51	ga_ls7e_ard_3-2-0_100073_2021-05-24_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-03 10:23:56	ga_ls7e_ard_3-2-0_110081_2021-08-03_final
2021-08-06 09:12:06	ga_ls7e_ard_3-2-0_099072_2021-08-05_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-01 08:11:37	ga_ls7e_ard_3-2-0_089081_2021-08-31_final
2021-09-03 09:37:34	ga_ls7e_ard_3-2-0_103080_2021-09-03_final
2021-09-11 08:49:25	ga_ls7e_ard_3-2-0_095085_2021-09-10_final
2021-09-22 10:05:11	ga_ls7e_ard_3-2-0_108076_2021-09-22_final
2021-09-28 09:27:34	ga_ls7e_ard_3-2-0_102076_2021-09-27_final
2021-10-11 08:53:56	ga_ls7e_ard_3-2-0_097072_2021-10-10_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-19 09:42:15	ga_ls7e_ard_3-2-0_105071_2021-10-19_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-12 10:32:39	ga_ls7e_ard_3-2-1_113079_2021-11-12_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-28 10:31:30	ga_ls7e_ard_3-2-1_113080_2021-11-28_final
2021-12-05 08:54:57	ga_ls7e_ard_3-2-1_098072_2021-12-04_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-20 08:12:15	ga_ls7e_ard_3-2-1_091077_2021-12-19_final
2021-12-21 08:53:25	ga_ls7e_ard_3-2-1_098072_2021-12-20_final
2021-12-25 08:29:30	ga_ls7e_ard_3-2-1_094075_2021-12-24_final
2022-01-12 08:16:10	ga_ls7e_ard_3-2-1_092077_2022-01-11_final
2022-01-31 08:46:02	ga_ls7e_ard_3-2-1_097079_2022-01-30_final
2022-02-27 08:26:48	ga_ls7e_ard_3-2-1_094084_2022-02-26_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_final
2022-03-27 08:45:59	ga_ls7e_ard_3-2-1_098077_2022-03-26_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_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