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
1999-09-08 11:12:01	ga_ls7e_ard_3-1-0_110072_1999-09-08_final
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
1999-12-26 09:05:45	ga_ls7e_ard_3-1-0_089081_1999-12-25_final
2003-08-15 09:01:19	ga_ls7e_ard_3-1-0_089081_2003-08-14_final
2003-12-12 09:08:15	ga_ls7e_ard_3-1-0_090082_2003-12-11_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2005-01-11 09:30:01	ga_ls7e_ard_3-1-0_094073_2005-01-11_final
2005-02-25 09:02:34	ga_ls7e_ard_3-1-0_089081_2005-02-24_final
2005-10-10 11:08:09	ga_ls7e_ard_3-1-0_110072_2005-10-10_final
2005-10-26 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-10-26_final
2005-11-07 09:57:33	ga_ls7e_ard_3-1-0_098080_2005-11-07_final
2005-12-26 09:02:36	ga_ls7e_ard_3-1-0_089081_2005-12-25_final
2006-01-14 11:12:34	ga_ls7e_ard_3-1-0_110081_2006-01-14_final
2006-01-27 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-01-26_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-05-26 10:45:39	ga_ls7e_ard_3-1-0_106075_2006-05-26_final
2006-08-22 09:57:47	ga_ls7e_ard_3-1-0_098080_2006-08-22_final
2007-02-24 10:31:42	ga_ls7e_ard_3-1-0_104070_2007-02-24_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-10-14 11:26:01	ga_ls7e_ard_3-1-0_112084_2007-10-14_final
2008-01-08 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-08_final
2008-03-01 09:22:15	ga_ls7e_ard_3-1-0_093067_2008-02-29_final
2008-06-28 11:08:43	ga_ls7e_ard_3-1-0_110072_2008-06-28_final
2008-10-15 09:01:35	ga_ls7e_ard_3-1-0_089081_2008-10-14_final
2008-11-23 09:09:57	ga_ls7e_ard_3-1-0_090085_2008-11-22_final
2008-12-30 09:29:39	ga_ls7e_ard_3-1-0_093087_2008-12-29_final
2010-01-02 09:31:20	ga_ls7e_ard_3-1-0_093087_2010-01-02_final
2010-01-09 11:10:32	ga_ls7e_ard_3-1-0_110072_2010-01-09_final
2010-08-21 11:11:21	ga_ls7e_ard_3-1-0_110072_2010-08-21_final
2011-12-02 09:14:25	ga_ls7e_ard_3-1-0_090085_2011-12-01_final
2012-09-27 11:14:40	ga_ls7e_ard_3-1-0_110072_2012-09-27_final
2012-11-08 10:15:33	ga_ls7e_ard_3-1-0_100078_2012-11-08_final
2013-02-21 10:12:05	ga_ls7e_ard_3-1-0_099084_2013-02-21_final
2014-09-17 11:16:47	ga_ls7e_ard_3-1-0_110072_2014-09-17_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2016-03-07 09:42:03	ga_ls7e_ard_3-1-0_093087_2016-03-07_final
2016-10-24 11:21:49	ga_ls7e_ard_3-1-0_110072_2016-10-24_final
2017-01-16 09:22:50	ga_ls7e_ard_3-1-0_090085_2017-01-15_final
2017-01-16 10:58:31	ga_ls7e_ard_3-1-0_106077_2017-01-16_final
2017-09-02 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-09-02_final
2017-09-23 11:34:51	ga_ls7e_ard_3-1-0_112074_2017-09-23_final
2017-12-23 11:18:48	ga_ls7e_ard_3-1-0_109081_2017-12-23_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-03-20 11:20:15	ga_ls7e_ard_3-1-0_110072_2018-03-20_final
2018-09-08 10:06:13	ga_ls7e_ard_3-1-0_098080_2018-09-08_final
2018-12-17 11:14:47	ga_ls7e_ard_3-1-0_110072_2018-12-17_final
2019-02-15 10:01:58	ga_ls7e_ard_3-1-0_098080_2019-02-15_final
2019-02-20 10:16:46	ga_ls7e_ard_3-1-0_101071_2019-02-20_final
2019-02-22 10:04:45	ga_ls7e_ard_3-1-0_099072_2019-02-22_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-23 11:11:24	ga_ls7e_ard_3-1-0_110071_2019-03-23_final
2019-03-26 10:06:30	ga_ls7e_ard_3-1-0_099079_2019-03-26_final
2019-03-28 09:50:05	ga_ls7e_ard_3-1-0_097069_2019-03-28_final
2019-04-24 11:10:40	ga_ls7e_ard_3-1-0_110072_2019-04-24_final
2019-08-10 09:55:34	ga_ls7e_ard_3-1-0_098080_2019-08-10_final
2019-08-28 11:18:56	ga_ls7e_ard_3-1-0_112074_2019-08-28_final
2019-09-08 11:00:43	ga_ls7e_ard_3-1-0_109076_2019-09-08_final
2019-09-11 11:30:41	ga_ls7e_ard_3-1-0_114074_2019-09-11_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-10-01 11:04:42	ga_ls7e_ard_3-1-0_110073_2019-10-01_final
2019-10-21 09:06:39	ga_ls7e_ard_3-1-0_090089_2019-10-20_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-11-02 11:03:20	ga_ls7e_ard_3-1-0_110073_2019-11-02_final
2019-11-06 10:42:25	ga_ls7e_ard_3-1-0_106083_2019-11-06_final
2019-11-16 11:19:03	ga_ls7e_ard_3-1-0_112083_2019-11-16_final
2019-11-21 09:52:05	ga_ls7e_ard_3-1-0_099067_2019-11-21_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-11-27 09:17:31	ga_ls7e_ard_3-1-0_093074_2019-11-26_final
2019-11-28 10:04:43	ga_ls7e_ard_3-1-0_100084_2019-11-28_final
2019-12-21 10:05:21	ga_ls7e_ard_3-1-0_101073_2019-12-21_final
2019-12-21 10:06:57	ga_ls7e_ard_3-1-0_101077_2019-12-21_final
2019-12-25 09:40:50	ga_ls7e_ard_3-1-0_097074_2019-12-25_final
2019-12-29 10:54:23	ga_ls7e_ard_3-1-0_109073_2019-12-29_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2020-01-06 10:04:55	ga_ls7e_ard_3-1-0_101074_2020-01-06_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-19 11:16:15	ga_ls7e_ard_3-1-0_112084_2020-01-19_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-21 09:20:55	ga_ls7e_ard_3-1-0_094074_2020-01-20_final
2020-01-21 10:59:24	ga_ls7e_ard_3-1-0_110073_2020-01-21_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-11 11:21:16	ga_ls7e_ard_3-1-0_113084_2020-02-11_final
2020-02-18 09:43:25	ga_ls7e_ard_3-1-0_098072_2020-02-18_final
2020-02-21 10:14:09	ga_ls7e_ard_3-1-0_103072_2020-02-21_final
2020-02-22 10:57:22	ga_ls7e_ard_3-1-0_110072_2020-02-22_final
2020-02-27 11:16:26	ga_ls7e_ard_3-1-0_113074_2020-02-27_final
2020-03-02 09:13:01	ga_ls7e_ard_3-1-0_093075_2020-03-01_final
2020-03-19 09:54:09	ga_ls7e_ard_3-1-0_100072_2020-03-19_final
2020-03-20 10:38:57	ga_ls7e_ard_3-1-0_107076_2020-03-20_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-22 09:43:03	ga_ls7e_ard_3-1-0_098080_2020-04-22_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_2022-03-20_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_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