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
2000-01-19 09:53:08	ga_ls7e_ard_3-1-0_097076_2000-01-19_final
2000-08-14 09:51:27	ga_ls7e_ard_3-1-0_097076_2000-08-14_final
2001-04-06 11:09:09	ga_ls7e_ard_3-1-0_110072_2001-04-06_final
2001-06-18 09:29:34	ga_ls7e_ard_3-1-0_093087_2001-06-17_final
2001-07-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2001-07-02_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2001-10-05 10:29:29	ga_ls7e_ard_3-1-0_104070_2001-10-05_final
2001-10-19 10:44:40	ga_ls7e_ard_3-1-0_106077_2001-10-19_final
2002-05-13 10:55:06	ga_ls7e_ard_3-1-0_108071_2002-05-13_final
2002-08-12 10:39:34	ga_ls7e_ard_3-1-0_105080_2002-08-12_final
2002-10-22 10:44:10	ga_ls7e_ard_3-1-0_106077_2002-10-22_final
2002-11-10 11:17:09	ga_ls7e_ard_3-1-0_111082_2002-11-10_final
2002-11-16 09:00:53	ga_ls7e_ard_3-1-0_089081_2002-11-15_final
2004-04-14 09:27:24	ga_ls7e_ard_3-1-0_094067_2004-04-13_final
2004-11-13 09:49:18	ga_ls7e_ard_3-1-0_097076_2004-11-13_final
2005-03-14 11:23:10	ga_ls7e_ard_3-1-0_112077_2005-03-14_final
2005-06-17 10:40:50	ga_ls7e_ard_3-1-0_105080_2005-06-17_final
2007-05-06 10:41:49	ga_ls7e_ard_3-1-0_105080_2007-05-06_final
2008-07-03 09:49:54	ga_ls7e_ard_3-1-0_097076_2008-07-03_final
2009-04-03 09:39:29	ga_ls7e_ard_3-1-0_095079_2009-04-03_final
2009-07-18 10:15:00	ga_ls7e_ard_3-1-0_101075_2009-07-18_final
2009-11-03 10:41:50	ga_ls7e_ard_3-1-0_105080_2009-11-03_final
2011-10-15 10:49:39	ga_ls7e_ard_3-1-0_106077_2011-10-15_final
2012-01-15 09:38:38	ga_ls7e_ard_3-1-0_094083_2012-01-15_final
2012-06-14 09:43:36	ga_ls7e_ard_3-1-0_095079_2012-06-14_final
2012-10-22 11:12:19	ga_ls7e_ard_3-1-0_109081_2012-10-22_final
2013-01-14 10:47:32	ga_ls7e_ard_3-1-0_105080_2013-01-14_final
2013-04-04 10:47:27	ga_ls7e_ard_3-1-0_105080_2013-04-04_final
2013-04-20 10:47:20	ga_ls7e_ard_3-1-0_105080_2013-04-20_final
2013-05-02 11:12:26	ga_ls7e_ard_3-1-0_109081_2013-05-02_final
2013-05-26 10:20:30	ga_ls7e_ard_3-1-0_101075_2013-05-26_final
2014-06-02 09:57:45	ga_ls7e_ard_3-1-0_097076_2014-06-02_final
2014-10-16 10:49:23	ga_ls7e_ard_3-1-0_105080_2014-10-16_final
2015-01-26 11:50:37	ga_ls7e_ard_3-1-0_115077_2015-01-26_final
2015-04-30 10:23:59	ga_ls7e_ard_3-1-0_101075_2015-04-30_final
2015-08-10 09:49:01	ga_ls7e_ard_3-1-0_095079_2015-08-10_final
2015-08-17 09:56:01	ga_ls7e_ard_3-1-0_096081_2015-08-17_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-10-18 10:08:23	ga_ls7e_ard_3-1-0_098080_2015-10-18_final
2015-10-23 10:23:49	ga_ls7e_ard_3-1-0_101072_2015-10-23_final
2015-11-16 11:17:15	ga_ls7e_ard_3-1-0_109081_2015-11-16_final
2016-08-12 09:51:49	ga_ls7e_ard_3-1-0_095079_2016-08-12_final
2016-10-31 09:51:52	ga_ls7e_ard_3-1-0_095079_2016-10-31_final
2018-04-12 09:50:00	ga_ls7e_ard_3-1-0_095079_2018-04-12_final
2018-05-30 09:49:11	ga_ls7e_ard_3-1-0_095079_2018-05-30_final
2019-01-28 10:15:16	ga_ls7e_ard_3-1-0_100081_2019-01-28_final
2019-02-17 11:26:26	ga_ls7e_ard_3-1-0_112075_2019-02-17_final
2019-02-19 09:36:44	ga_ls7e_ard_3-1-0_094079_2019-02-19_final
2019-02-24 11:33:12	ga_ls7e_ard_3-1-0_113077_2019-02-24_final
2019-02-24 11:34:00	ga_ls7e_ard_3-1-0_113079_2019-02-24_final
2019-03-27 10:48:56	ga_ls7e_ard_3-1-0_106077_2019-03-27_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-09-03 09:05:07	ga_ls7e_ard_3-1-0_090080_2019-09-02_final
2019-09-13 09:41:45	ga_ls7e_ard_3-1-0_096080_2019-09-13_final
2019-09-27 09:51:30	ga_ls7e_ard_3-1-0_098075_2019-09-27_final
2019-10-01 09:28:13	ga_ls7e_ard_3-1-0_094079_2019-09-30_final
2019-10-05 10:41:48	ga_ls7e_ard_3-1-0_106078_2019-10-05_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-10-22 09:47:28	ga_ls7e_ard_3-1-0_097083_2019-10-22_final
2019-10-27 10:01:48	ga_ls7e_ard_3-1-0_100073_2019-10-27_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-19 10:09:44	ga_ls7e_ard_3-1-0_101080_2019-11-19_final
2019-11-23 09:42:49	ga_ls7e_ard_3-1-0_097075_2019-11-23_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-12-01 10:33:52	ga_ls7e_ard_3-1-0_105080_2019-12-01_final
2019-12-24 10:38:30	ga_ls7e_ard_3-1-0_106079_2019-12-24_final
2019-12-26 10:25:14	ga_ls7e_ard_3-1-0_104077_2019-12-26_final
2019-12-30 09:59:30	ga_ls7e_ard_3-1-0_100075_2019-12-30_final
2020-01-12 09:31:56	ga_ls7e_ard_3-1-0_095085_2020-01-12_final
2020-01-28 09:27:57	ga_ls7e_ard_3-1-0_095077_2020-01-27_final
2020-02-11 09:41:35	ga_ls7e_ard_3-1-0_097082_2020-02-11_final
2020-02-29 09:29:29	ga_ls7e_ard_3-1-0_095085_2020-02-28_final
2020-03-09 09:21:13	ga_ls7e_ard_3-1-0_094081_2020-03-08_final
2020-03-11 09:09:09	ga_ls7e_ard_3-1-0_092082_2020-03-10_final
2020-03-17 10:09:01	ga_ls7e_ard_3-1-0_102078_2020-03-17_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-22 09:41:27	ga_ls7e_ard_3-1-0_098076_2020-04-22_final
2021-03-18 09:58:03	ga_ls7e_ard_3-2-0_104080_2021-03-18_final
2021-03-20 09:44:20	ga_ls7e_ard_3-2-0_102077_2021-03-20_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-03 09:54:45	ga_ls7e_ard_3-2-0_104075_2021-04-03_final
2021-05-26 10:07:38	ga_ls7e_ard_3-2-0_107072_2021-05-26_final
2021-06-07 08:53:16	ga_ls7e_ard_3-2-0_095074_2021-06-06_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-06-26 09:22:12	ga_ls7e_ard_3-2-0_100073_2021-06-25_final
2021-07-17 09:37:22	ga_ls7e_ard_3-2-0_103069_2021-07-17_final
2021-07-17 09:38:10	ga_ls7e_ard_3-2-0_103071_2021-07-17_final
2021-07-17 09:40:58	ga_ls7e_ard_3-2-0_103078_2021-07-17_final
2021-09-03 09:33:59	ga_ls7e_ard_3-2-0_103071_2021-09-03_final
2021-09-09 10:38:03	ga_ls7e_ard_3-2-0_113078_2021-09-09_final
2021-09-27 08:44:24	ga_ls7e_ard_3-2-0_095076_2021-09-26_final
2021-09-27 10:23:40	ga_ls7e_ard_3-2-0_111077_2021-09-27_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-23 09:21:10	ga_ls7e_ard_3-2-0_101081_2021-10-22_final
2021-10-28 09:38:03	ga_ls7e_ard_3-2-0_104078_2021-10-28_final
2021-11-16 08:27:51	ga_ls7e_ard_3-2-1_093077_2021-11-15_final
2021-11-26 09:02:46	ga_ls7e_ard_3-2-1_099074_2021-11-25_final
2021-12-07 08:46:00	ga_ls7e_ard_3-2-1_096081_2021-12-06_final
2021-12-10 09:15:49	ga_ls7e_ard_3-2-1_101079_2021-12-09_final
2022-04-06 09:19:18	ga_ls7e_ard_3-2-1_104070_2022-04-05_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