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
2001-07-07 09:57:30	ga_ls7e_ard_3-1-0_098080_2001-07-07_final
2001-11-12 09:56:36	ga_ls7e_ard_3-1-0_098080_2001-11-12_final
2003-05-27 09:01:37	ga_ls7e_ard_3-1-0_089081_2003-05-26_final
2003-08-24 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-24_final
2003-10-25 09:09:03	ga_ls7e_ard_3-1-0_090085_2003-10-24_final
2003-11-12 10:29:45	ga_ls7e_ard_3-1-0_104070_2003-11-12_final
2003-11-19 09:01:32	ga_ls7e_ard_3-1-0_089081_2003-11-18_final
2004-06-17 09:30:02	ga_ls7e_ard_3-1-0_094074_2004-06-17_final
2005-01-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2005-01-03_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-11-20 09:29:33	ga_ls7e_ard_3-1-0_093087_2005-11-19_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-07-02 11:06:25	ga_ls7e_ard_3-1-0_109081_2006-07-02_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-12-12 09:56:42	ga_ls7e_ard_3-1-0_098076_2006-12-12_final
2007-06-19 09:30:17	ga_ls7e_ard_3-1-0_093087_2007-06-19_final
2008-04-09 09:34:45	ga_ls7e_ard_3-1-0_094083_2008-04-09_final
2009-02-07 11:08:56	ga_ls7e_ard_3-1-0_110072_2009-02-07_final
2009-04-09 09:03:14	ga_ls7e_ard_3-1-0_089081_2009-04-08_final
2009-07-01 11:09:29	ga_ls7e_ard_3-1-0_110072_2009-07-01_final
2010-06-14 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-06-14_final
2010-06-30 10:00:19	ga_ls7e_ard_3-1-0_098080_2010-06-30_final
2011-04-08 10:34:51	ga_ls7e_ard_3-1-0_104070_2011-04-08_final
2011-10-15 10:49:39	ga_ls7e_ard_3-1-0_106077_2011-10-15_final
2012-05-18 10:02:51	ga_ls7e_ard_3-1-0_098080_2012-05-18_final
2013-01-26 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-01-26_final
2013-11-29 10:04:26	ga_ls7e_ard_3-1-0_098080_2013-11-29_final
2015-03-28 11:18:10	ga_ls7e_ard_3-1-0_110072_2015-03-28_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2015-07-31 09:15:53	ga_ls7e_ard_3-1-0_089089_2015-07-30_final
2015-10-06 11:19:07	ga_ls7e_ard_3-1-0_110072_2015-10-06_final
2016-08-17 10:10:45	ga_ls7e_ard_3-1-0_098080_2016-08-17_final
2016-12-15 10:58:49	ga_ls7e_ard_3-1-0_106077_2016-12-15_final
2017-04-02 11:21:21	ga_ls7e_ard_3-1-0_110072_2017-04-02_final
2018-07-06 10:07:26	ga_ls7e_ard_3-1-0_098080_2018-07-06_final
2019-02-17 11:27:38	ga_ls7e_ard_3-1-0_112078_2019-02-17_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-28 11:05:58	ga_ls7e_ard_3-1-0_109071_2019-02-28_final
2019-03-01 10:10:19	ga_ls7e_ard_3-1-0_100071_2019-03-01_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-19 11:38:39	ga_ls7e_ard_3-1-0_114077_2019-03-19_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-09-15 09:29:42	ga_ls7e_ard_3-1-0_094081_2019-09-14_final
2019-09-18 09:55:41	ga_ls7e_ard_3-1-0_099069_2019-09-18_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-27 09:53:06	ga_ls7e_ard_3-1-0_098079_2019-09-27_final
2019-09-27 09:55:29	ga_ls7e_ard_3-1-0_098085_2019-09-27_final
2019-10-13 11:30:31	ga_ls7e_ard_3-1-0_114077_2019-10-13_final
2019-11-02 11:05:20	ga_ls7e_ard_3-1-0_110078_2019-11-02_final
2019-11-03 10:11:40	ga_ls7e_ard_3-1-0_101083_2019-11-03_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-24 10:25:38	ga_ls7e_ard_3-1-0_104074_2019-11-24_final
2019-11-30 11:28:45	ga_ls7e_ard_3-1-0_114078_2019-11-30_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-08 10:37:19	ga_ls7e_ard_3-1-0_106074_2019-12-08_final
2019-12-08 10:39:18	ga_ls7e_ard_3-1-0_106079_2019-12-08_final
2019-12-08 10:39:42	ga_ls7e_ard_3-1-0_106080_2019-12-08_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-14 10:01:32	ga_ls7e_ard_3-1-0_100078_2019-12-14_final
2019-12-16 09:49:28	ga_ls7e_ard_3-1-0_098079_2019-12-16_final
2019-12-16 09:50:16	ga_ls7e_ard_3-1-0_098081_2019-12-16_final
2019-12-17 08:53:00	ga_ls7e_ard_3-1-0_089077_2019-12-16_final
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-09 10:36:52	ga_ls7e_ard_3-1-0_106077_2020-01-09_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-22 10:06:31	ga_ls7e_ard_3-1-0_101080_2020-01-22_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-26 09:41:12	ga_ls7e_ard_3-1-0_097079_2020-01-26_final
2020-02-02 11:25:31	ga_ls7e_ard_3-1-0_114078_2020-02-02_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-05 10:13:47	ga_ls7e_ard_3-1-0_103069_2020-02-05_final
2020-02-11 11:21:16	ga_ls7e_ard_3-1-0_113084_2020-02-11_final
2020-02-12 10:19:37	ga_ls7e_ard_3-1-0_104069_2020-02-12_final
2020-02-15 10:51:57	ga_ls7e_ard_3-1-0_109073_2020-02-15_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-02-18 09:47:48	ga_ls7e_ard_3-1-0_098083_2020-02-18_final
2020-02-22 11:00:57	ga_ls7e_ard_3-1-0_110081_2020-02-22_final
2020-03-05 09:42:10	ga_ls7e_ard_3-1-0_098071_2020-03-05_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-03-25 10:55:14	ga_ls7e_ard_3-1-0_110071_2020-03-25_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-05 10:41:15	ga_ls7e_ard_3-1-0_107084_2020-04-05_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-04-10 10:59:06	ga_ls7e_ard_3-1-0_110083_2020-04-10_final
2020-04-15 09:33:17	ga_ls7e_ard_3-1-0_097070_2020-04-15_final
2020-04-20 09:56:19	ga_ls7e_ard_3-1-0_100082_2020-04-20_final
2020-04-26 10:56:10	ga_ls7e_ard_3-1-0_110078_2020-04-26_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-24 09:53:51	ga_ls7e_ard_3-2-1_109076_2022-03-24_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-27 08:46:23	ga_ls7e_ard_3-2-1_098078_2022-03-26_final
2022-03-27 08:47:11	ga_ls7e_ard_3-2-1_098080_2022-03-26_final
2022-04-01 09:04:27	ga_ls7e_ard_3-2-1_101078_2022-03-31_final
2022-04-02 08:10:20	ga_ls7e_ard_3-2-1_092082_2022-04-01_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