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
2000-04-28 09:29:57	ga_ls7e_ard_3-1-0_093081_2000-04-27_final
2000-05-12 11:21:24	ga_ls7e_ard_3-1-0_111082_2000-05-12_final
2000-05-23 11:03:31	ga_ls7e_ard_3-1-0_108084_2000-05-23_final
2000-06-07 10:16:31	ga_ls7e_ard_3-1-0_101075_2000-06-07_final
2000-07-04 09:59:45	ga_ls7e_ard_3-1-0_098080_2000-07-04_final
2000-08-01 10:24:02	ga_ls7e_ard_3-1-0_102080_2000-08-01_final
2000-08-18 11:07:35	ga_ls7e_ard_3-1-0_109081_2000-08-18_final
2000-10-25 10:41:40	ga_ls7e_ard_3-1-0_105080_2000-10-25_final
2001-01-21 09:50:52	ga_ls7e_ard_3-1-0_097076_2001-01-21_final
2001-03-12 09:39:31	ga_ls7e_ard_3-1-0_095079_2001-03-12_final
2001-06-25 09:27:36	ga_ls7e_ard_3-1-0_094067_2001-06-24_final
2002-01-03 09:30:02	ga_ls7e_ard_3-1-0_094075_2002-01-03_final
2002-01-12 09:27:12	ga_ls7e_ard_3-1-0_093083_2002-01-11_final
2002-08-13 11:21:38	ga_ls7e_ard_3-1-0_112077_2002-08-13_final
2002-12-10 09:48:36	ga_ls7e_ard_3-1-0_097076_2002-12-10_final
2003-01-23 10:13:10	ga_ls7e_ard_3-1-0_101075_2003-01-23_final
2003-04-12 09:30:11	ga_ls7e_ard_3-1-0_094075_2003-04-12_final
2003-08-16 11:21:52	ga_ls7e_ard_3-1-0_112077_2003-08-16_final
2004-03-04 09:37:34	ga_ls7e_ard_3-1-0_095077_2004-03-04_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2006-06-29 10:34:44	ga_ls7e_ard_3-1-0_104079_2006-06-29_final
2006-08-01 09:38:53	ga_ls7e_ard_3-1-0_095079_2006-08-01_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2007-04-27 10:47:15	ga_ls7e_ard_3-1-0_106078_2007-04-27_final
2007-07-19 09:39:23	ga_ls7e_ard_3-1-0_095079_2007-07-19_final
2010-03-23 09:30:12	ga_ls7e_ard_3-1-0_093082_2010-03-23_final
2010-04-13 11:25:41	ga_ls7e_ard_3-1-0_112077_2010-04-13_final
2011-03-22 09:53:55	ga_ls7e_ard_3-1-0_097076_2011-03-22_final
2011-11-01 09:53:43	ga_ls7e_ard_3-1-0_097076_2011-11-01_final
2012-04-18 11:28:20	ga_ls7e_ard_3-1-0_112079_2012-04-18_final
2012-09-09 11:29:39	ga_ls7e_ard_3-1-0_112079_2012-09-09_final
2013-01-27 10:17:06	ga_ls7e_ard_3-1-0_100081_2013-01-27_final
2013-12-29 10:17:19	ga_ls7e_ard_3-1-0_100081_2013-12-29_final
2014-06-30 10:20:59	ga_ls7e_ard_3-1-0_101072_2014-06-30_final
2015-06-21 09:59:58	ga_ls7e_ard_3-1-0_097076_2015-06-21_final
2017-08-05 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-08-05_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-05-11 10:56:40	ga_ls7e_ard_3-1-0_106077_2018-05-11_final
2018-08-11 09:41:40	ga_ls7e_ard_3-0-0_094079_2018-08-11_final
2018-12-08 09:45:07	ga_ls7e_ard_3-1-0_095079_2018-12-08_final
2019-01-24 10:39:19	ga_ls7e_ard_3-1-0_104079_2019-01-24_final
2019-02-20 10:19:58	ga_ls7e_ard_3-1-0_101079_2019-02-20_final
2019-02-26 09:42:18	ga_ls7e_ard_3-1-0_095078_2019-02-26_final
2019-02-27 10:25:31	ga_ls7e_ard_3-1-0_102078_2019-02-27_final
2019-03-08 10:19:27	ga_ls7e_ard_3-1-0_101079_2019-03-08_final
2019-05-10 09:33:58	ga_ls7e_ard_3-0-0_094079_2019-05-10_final
2019-08-30 11:08:53	ga_ls7e_ard_3-1-0_110080_2019-08-30_final
2019-09-04 09:46:20	ga_ls7e_ard_3-1-0_097075_2019-09-04_final
2019-09-29 09:39:51	ga_ls7e_ard_3-1-0_096077_2019-09-29_final
2019-10-23 10:29:53	ga_ls7e_ard_3-1-0_104081_2019-10-23_final
2019-10-28 10:48:36	ga_ls7e_ard_3-1-0_107082_2019-10-28_final
2019-10-29 09:49:21	ga_ls7e_ard_3-1-0_098073_2019-10-29_final
2019-11-09 09:32:43	ga_ls7e_ard_3-1-0_095079_2019-11-09_final
2019-11-11 09:21:27	ga_ls7e_ard_3-1-0_093082_2019-11-10_final
2019-12-04 09:24:57	ga_ls7e_ard_3-1-0_094078_2019-12-03_final
2020-02-08 10:48:08	ga_ls7e_ard_3-1-0_108078_2020-02-08_final
2020-03-07 09:31:41	ga_ls7e_ard_3-1-0_096076_2020-03-07_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-04-06 09:41:59	ga_ls7e_ard_3-1-0_098075_2020-04-06_final
2020-04-10 09:18:14	ga_ls7e_ard_3-1-0_094078_2020-04-09_final
2020-04-11 10:01:50	ga_ls7e_ard_3-1-0_101079_2020-04-11_final
2020-04-18 10:07:12	ga_ls7e_ard_3-1-0_102078_2020-04-18_final
2020-05-08 09:42:29	ga_ls7e_ard_3-1-0_098081_2020-05-08_final
2020-05-18 10:18:57	ga_ls7e_ard_3-1-0_104081_2020-05-18_final
2020-06-20 10:59:52	ga_ls7e_ard_3-1-0_111080_2020-06-20_final
2020-06-27 09:25:57	ga_ls7e_ard_3-1-0_096078_2020-06-26_final
2020-07-05 10:14:54	ga_ls7e_ard_3-1-0_104078_2020-07-05_final
2020-07-21 10:12:44	ga_ls7e_ard_3-1-0_104075_2020-07-21_final
2020-07-23 10:01:27	ga_ls7e_ard_3-1-0_102078_2020-07-23_final
2020-08-04 08:47:44	ga_ls7e_ard_3-1-0_090081_2020-08-03_final
2021-02-25 09:41:09	ga_ls7e_ard_3-2-0_101080_2021-02-25_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-24 09:20:53	ga_ls7e_ard_3-2-0_098081_2021-03-23_final
2021-03-29 09:38:37	ga_ls7e_ard_3-2-0_101080_2021-03-29_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-16 09:22:22	ga_ls7e_ard_3-2-0_099074_2021-04-15_final
2021-05-08 08:45:26	ga_ls7e_ard_3-2-0_093079_2021-05-07_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-06-07 08:54:04	ga_ls7e_ard_3-2-0_095076_2021-06-06_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-20 10:01:47	ga_ls7e_ard_3-2-0_106078_2021-06-20_final
2021-06-25 10:20:18	ga_ls7e_ard_3-2-0_109079_2021-06-25_final
2021-06-30 09:00:45	ga_ls7e_ard_3-2-0_096082_2021-06-29_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-19 09:29:14	ga_ls7e_ard_3-2-0_101080_2021-07-18_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-08-28 08:37:05	ga_ls7e_ard_3-2-0_093082_2021-08-27_final
2021-09-04 08:40:40	ga_ls7e_ard_3-2-0_094077_2021-09-03_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-11-15 09:23:58	ga_ls7e_ard_3-2-1_102078_2021-11-14_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2021-12-24 09:24:49	ga_ls7e_ard_3-2-1_103074_2021-12-23_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-01-31 08:46:50	ga_ls7e_ard_3-2-1_097081_2022-01-30_final
2022-02-17 09:25:57	ga_ls7e_ard_3-2-1_104075_2022-02-16_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_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