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
2000-01-21 09:39:59	ga_ls7e_ard_3-0-0_095074_2000-01-21_final
2000-08-16 09:37:29	ga_ls7e_ard_3-0-0_095072_2000-08-16_final
2001-03-08 11:43:08	ga_ls7e_ard_3-0-0_115079_2001-03-08_final
2001-05-27 11:42:12	ga_ls7e_ard_3-0-0_115078_2001-05-27_final
2001-07-02 09:36:09	ga_ls7e_ard_3-1-0_095073_2001-07-02_final
2001-08-19 09:39:13	ga_ls7e_ard_3-0-0_095082_2001-08-19_final
2001-12-25 09:39:05	ga_ls7e_ard_3-0-0_095082_2001-12-25_final
2002-09-07 09:39:58	ga_ls7e_ard_3-0-0_095086_2002-09-07_final
2002-09-07 09:40:22	ga_ls7e_ard_3-0-0_095087_2002-09-07_final
2003-07-24 09:40:06	ga_ls7e_ard_3-0-0_095085_2003-07-24_final
2003-11-13 09:38:08	ga_ls7e_ard_3-0-0_095080_2003-11-13_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2004-03-20 09:39:16	ga_ls7e_ard_3-0-0_095081_2004-03-20_final
2004-04-05 09:40:26	ga_ls7e_ard_3-0-0_095084_2004-04-05_final
2004-08-07 11:41:12	ga_ls7e_ard_3-0-0_115078_2004-08-07_final
2004-09-12 09:38:39	ga_ls7e_ard_3-0-0_095081_2004-09-12_final
2005-01-18 09:39:24	ga_ls7e_ard_3-0-0_095081_2005-01-18_final
2005-02-19 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-02-19_final
2005-05-26 09:40:23	ga_ls7e_ard_3-0-0_095083_2005-05-26_final
2005-11-02 09:40:09	ga_ls7e_ard_3-0-0_095083_2005-11-02_final
2006-06-14 09:41:36	ga_ls7e_ard_3-0-0_095085_2006-06-14_final
2007-02-09 09:40:47	ga_ls7e_ard_3-0-0_095082_2007-02-09_final
2007-06-01 09:40:15	ga_ls7e_ard_3-0-0_095081_2007-06-01_final
2008-03-15 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-03-15_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2008-12-28 09:40:00	ga_ls7e_ard_3-0-0_095082_2008-12-28_final
2009-01-29 09:37:46	ga_ls7e_ard_3-0-0_095076_2009-01-29_final
2009-02-14 09:41:53	ga_ls7e_ard_3-0-0_095086_2009-02-14_final
2009-11-12 08:57:18	ga_ls7e_ard_3-0-0_088081_2009-11-11_final
2009-12-15 09:42:59	ga_ls7e_ard_3-0-0_095086_2009-12-15_final
2010-03-21 09:36:34	ga_ls7e_ard_3-0-0_095067_2010-03-21_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2012-05-29 09:42:06	ga_ls7e_ard_3-0-0_095075_2012-05-29_final
2012-07-16 09:45:59	ga_ls7e_ard_3-0-0_095084_2012-07-16_final
2012-09-18 09:41:51	ga_ls7e_ard_3-0-0_095072_2012-09-18_final
2013-09-20 09:02:25	ga_ls7e_ard_3-0-0_088081_2013-09-19_final
2014-05-19 09:41:45	ga_ls7e_ard_3-0-0_095067_2014-05-19_final
2016-06-09 09:49:20	ga_ls7e_ard_3-1-0_095073_2016-06-09_final
2016-08-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2016-08-24_final
2016-08-28 09:54:40	ga_ls7e_ard_3-0-0_095086_2016-08-28_final
2017-02-20 09:52:24	ga_ls7e_ard_3-0-0_095082_2017-02-20_final
2017-05-07 11:54:28	ga_ls7e_ard_3-0-0_115077_2017-05-07_final
2017-10-18 09:51:26	ga_ls7e_ard_3-0-0_095078_2017-10-18_final
2017-10-18 09:53:02	ga_ls7e_ard_3-0-0_095082_2017-10-18_final
2018-05-10 11:53:06	ga_ls7e_ard_3-0-0_115079_2018-05-10_final
2018-09-19 09:48:14	ga_ls7e_ard_3-0-0_095082_2018-09-19_final
2018-10-05 09:44:15	ga_ls7e_ard_3-1-0_095073_2018-10-05_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2020-04-17 09:25:36	ga_ls7e_ard_3-1-0_095082_2020-04-16_final
2020-05-03 09:24:15	ga_ls7e_ard_3-1-0_095081_2020-05-02_final
2020-06-20 09:22:59	ga_ls7e_ard_3-1-0_095085_2020-06-19_final
2021-02-19 08:41:48	ga_ls7e_ard_3-2-0_091085_2021-02-18_final
2021-03-08 09:23:21	ga_ls7e_ard_3-2-0_098084_2021-03-07_final
2021-03-14 08:43:24	ga_ls7e_ard_3-2-0_092078_2021-03-13_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-03-24 09:22:29	ga_ls7e_ard_3-2-0_098085_2021-03-23_final
2021-04-13 10:34:11	ga_ls7e_ard_3-2-0_110083_2021-04-13_final
2021-05-24 10:23:45	ga_ls7e_ard_3-2-0_109081_2021-05-24_final
2021-05-29 09:04:35	ga_ls7e_ard_3-2-0_096085_2021-05-28_final
2021-06-07 08:56:27	ga_ls7e_ard_3-2-0_095082_2021-06-06_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-06-18 10:11:07	ga_ls7e_ard_3-2-0_108070_2021-06-18_final
2021-06-27 10:09:46	ga_ls7e_ard_3-2-0_107084_2021-06-27_final
2021-06-29 08:17:10	ga_ls7e_ard_3-2-0_089081_2021-06-28_final
2021-06-30 08:59:57	ga_ls7e_ard_3-2-0_096080_2021-06-29_final
2021-07-10 09:34:11	ga_ls7e_ard_3-2-0_102075_2021-07-10_final
2021-07-14 09:07:32	ga_ls7e_ard_3-2-0_098071_2021-07-13_final
2021-07-27 10:18:22	ga_ls7e_ard_3-2-0_109081_2021-07-27_final
2021-07-27 10:18:46	ga_ls7e_ard_3-2-0_109082_2021-07-27_final
2021-09-05 09:21:27	ga_ls7e_ard_3-2-0_101071_2021-09-04_final
2021-09-06 08:29:20	ga_ls7e_ard_3-2-0_092080_2021-09-05_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-13 08:34:53	ga_ls7e_ard_3-2-0_093080_2021-09-12_final
2021-09-14 09:14:52	ga_ls7e_ard_3-2-0_100072_2021-09-13_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-09-20 10:14:08	ga_ls7e_ard_3-2-0_110067_2021-09-20_final
2021-10-01 09:55:49	ga_ls7e_ard_3-2-0_107070_2021-10-01_final
2021-10-01 09:58:36	ga_ls7e_ard_3-2-0_107077_2021-10-01_final
2021-10-10 09:50:02	ga_ls7e_ard_3-2-0_106073_2021-10-10_final
2021-10-22 08:35:12	ga_ls7e_ard_3-2-0_094074_2021-10-21_final
2021-10-26 09:47:00	ga_ls7e_ard_3-2-0_106069_2021-10-26_final
2021-10-31 08:28:36	ga_ls7e_ard_3-2-0_093075_2021-10-30_final
2021-12-18 10:06:05	ga_ls7e_ard_3-2-1_109083_2021-12-18_final
2021-12-19 09:07:34	ga_ls7e_ard_3-2-1_100076_2021-12-18_final
2022-01-12 09:57:27	ga_ls7e_ard_3-2-1_108083_2022-01-12_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-02-02 08:31:29	ga_ls7e_ard_3-2-1_095074_2022-02-01_final
2022-02-08 07:55:47	ga_ls7e_ard_3-2-1_089079_2022-02-07_final
2022-02-17 09:24:45	ga_ls7e_ard_3-2-1_104072_2022-02-16_final
2022-02-18 08:33:26	ga_ls7e_ard_3-2-1_095083_2022-02-17_final
2022-02-21 09:00:28	ga_ls7e_ard_3-2-1_100074_2022-02-20_final
2022-02-21 09:03:15	ga_ls7e_ard_3-2-1_100081_2022-02-20_final
2022-02-22 08:05:33	ga_ls7e_ard_3-2-1_091076_2022-02-21_final
2022-02-25 10:17:02	ga_ls7e_ard_3-2-1_112081_2022-02-25_final
2022-02-27 08:25:12	ga_ls7e_ard_3-2-1_094080_2022-02-26_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-11 08:49:56	ga_ls7e_ard_3-2-1_098083_2022-03-10_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-03-12 09:29:06	ga_ls7e_ard_3-2-1_105073_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years