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
1999-07-29 09:42:28	ga_ls7e_ard_3-0-0_095080_1999-07-29_final
2000-03-25 09:44:59	ga_ls7e_ard_3-0-0_095087_2000-03-25_final
2000-04-26 09:43:31	ga_ls7e_ard_3-0-0_095084_2000-04-26_final
2000-05-12 09:42:31	ga_ls7e_ard_3-0-0_095082_2000-05-12_final
2000-10-03 09:40:01	ga_ls7e_ard_3-0-0_095080_2000-10-03_final
2001-05-31 09:38:57	ga_ls7e_ard_3-1-0_095079_2001-05-31_final
2001-08-19 09:38:01	ga_ls7e_ard_3-1-0_095079_2001-08-19_final
2002-03-15 09:39:40	ga_ls7e_ard_3-0-0_095083_2002-03-15_final
2002-03-31 09:39:35	ga_ls7e_ard_3-0-0_095083_2002-03-31_final
2002-03-31 09:39:59	ga_ls7e_ard_3-0-0_095084_2002-03-31_final
2002-09-23 09:39:22	ga_ls7e_ard_3-0-0_095085_2002-09-23_final
2002-11-26 09:36:59	ga_ls7e_ard_3-0-0_095078_2002-11-26_final
2002-12-28 09:39:56	ga_ls7e_ard_3-0-0_095085_2002-12-28_final
2003-04-19 09:39:56	ga_ls7e_ard_3-0-0_095084_2003-04-19_final
2003-05-05 09:38:21	ga_ls7e_ard_3-0-0_095080_2003-05-05_final
2004-02-17 09:38:18	ga_ls7e_ard_3-1-0_095079_2004-02-17_final
2005-01-02 09:37:45	ga_ls7e_ard_3-0-0_095077_2005-01-02_final
2005-04-08 09:38:01	ga_ls7e_ard_3-0-0_095077_2005-04-08_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2007-02-25 09:40:28	ga_ls7e_ard_3-0-0_095081_2007-02-25_final
2007-03-13 09:39:19	ga_ls7e_ard_3-0-0_095078_2007-03-13_final
2007-07-19 09:41:23	ga_ls7e_ard_3-0-0_095084_2007-07-19_final
2008-04-16 09:38:31	ga_ls7e_ard_3-0-0_095077_2008-04-16_final
2010-06-09 09:41:20	ga_ls7e_ard_3-1-0_095079_2010-06-09_final
2010-10-31 09:41:43	ga_ls7e_ard_3-1-0_095079_2010-10-31_final
2011-02-20 09:42:40	ga_ls7e_ard_3-1-0_095079_2011-02-20_final
2012-04-27 09:43:33	ga_ls7e_ard_3-1-0_095079_2012-04-27_final
2012-07-16 09:43:59	ga_ls7e_ard_3-1-0_095079_2012-07-16_final
2012-08-01 09:44:08	ga_ls7e_ard_3-1-0_095079_2012-08-01_final
2012-09-18 09:44:15	ga_ls7e_ard_3-0-0_095078_2012-09-18_final
2012-11-21 09:44:23	ga_ls7e_ard_3-0-0_095077_2012-11-21_final
2013-04-14 09:45:36	ga_ls7e_ard_3-0-0_095080_2013-04-14_final
2013-08-20 09:46:08	ga_ls7e_ard_3-0-0_095083_2013-08-20_final
2013-09-05 09:45:08	ga_ls7e_ard_3-0-0_095080_2013-09-05_final
2013-10-07 09:45:54	ga_ls7e_ard_3-0-0_095081_2013-10-07_final
2014-01-11 09:45:16	ga_ls7e_ard_3-0-0_095078_2014-01-11_final
2014-04-17 09:47:06	ga_ls7e_ard_3-0-0_095081_2014-04-17_final
2014-08-23 09:47:13	ga_ls7e_ard_3-0-0_095080_2014-08-23_final
2014-10-26 09:46:54	ga_ls7e_ard_3-0-0_095078_2014-10-26_final
2014-10-26 09:47:42	ga_ls7e_ard_3-0-0_095080_2014-10-26_final
2015-03-19 09:49:00	ga_ls7e_ard_3-0-0_095081_2015-03-19_final
2017-02-04 09:51:11	ga_ls7e_ard_3-1-0_095079_2017-02-04_final
2017-05-11 09:52:28	ga_ls7e_ard_3-0-0_095081_2017-05-11_final
2018-12-08 09:45:07	ga_ls7e_ard_3-1-0_095079_2018-12-08_final
2019-01-09 09:44:11	ga_ls7e_ard_3-1-0_095079_2019-01-09_final
2019-07-04 09:38:06	ga_ls7e_ard_3-1-0_095079_2019-07-04_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-12-11 09:30:47	ga_ls7e_ard_3-1-0_095078_2019-12-11_final
2020-04-17 09:23:36	ga_ls7e_ard_3-1-0_095077_2020-04-16_final
2020-06-04 09:21:31	ga_ls7e_ard_3-1-0_095079_2020-06-03_final
2020-09-08 09:14:47	ga_ls7e_ard_3-1-0_095077_2020-09-07_final
2020-10-10 09:13:06	ga_ls7e_ard_3-1-0_095078_2020-10-09_final
2021-02-07 09:52:53	ga_ls7e_ard_3-2-0_103075_2021-02-07_final
2021-02-15 09:06:02	ga_ls7e_ard_3-2-0_095083_2021-02-14_final
2021-02-25 09:40:45	ga_ls7e_ard_3-2-0_101079_2021-02-25_final
2021-03-10 09:08:03	ga_ls7e_ard_3-2-0_096077_2021-03-09_final
2021-03-19 09:01:57	ga_ls7e_ard_3-2-0_095079_2021-03-18_final
2021-03-20 09:45:31	ga_ls7e_ard_3-2-0_102080_2021-03-20_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-11 09:05:27	ga_ls7e_ard_3-2-0_096077_2021-04-10_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:55:48	ga_ls7e_ard_3-2-0_104081_2021-04-19_final
2021-04-21 09:39:41	ga_ls7e_ard_3-2-0_102072_2021-04-21_final
2021-04-29 08:51:34	ga_ls7e_ard_3-2-0_094077_2021-04-28_final
2021-04-30 09:35:56	ga_ls7e_ard_3-2-0_101080_2021-04-30_final
2021-05-12 09:56:04	ga_ls7e_ard_3-2-0_105071_2021-05-12_final
2021-05-16 09:34:36	ga_ls7e_ard_3-2-0_101080_2021-05-16_final
2021-05-16 09:35:00	ga_ls7e_ard_3-2-0_101081_2021-05-16_final
2021-05-21 09:52:19	ga_ls7e_ard_3-2-0_104079_2021-05-21_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-27 10:08:59	ga_ls7e_ard_3-2-0_107082_2021-06-27_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-07-02 10:25:30	ga_ls7e_ard_3-2-0_110078_2021-07-02_final
2021-07-19 09:29:14	ga_ls7e_ard_3-2-0_101080_2021-07-18_final
2021-07-29 08:25:22	ga_ls7e_ard_3-2-0_091077_2021-07-28_final
2021-08-03 10:22:45	ga_ls7e_ard_3-2-0_110078_2021-08-03_final
2021-08-17 08:54:11	ga_ls7e_ard_3-2-0_096076_2021-08-16_final
2021-08-17 10:34:15	ga_ls7e_ard_3-2-0_112079_2021-08-17_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-09-10 09:39:33	ga_ls7e_ard_3-2-0_104071_2021-09-10_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-12 09:29:00	ga_ls7e_ard_3-2-0_102076_2021-09-11_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-10-22 10:15:41	ga_ls7e_ard_3-2-0_110078_2021-10-22_final
2021-10-27 08:54:05	ga_ls7e_ard_3-2-0_097076_2021-10-26_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-12-25 10:09:35	ga_ls7e_ard_3-2-1_110078_2021-12-25_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-11 08:29:34	ga_ls7e_ard_3-2-1_094087_2022-02-10_final
2022-02-16 10:22:28	ga_ls7e_ard_3-2-1_113077_2022-02-16_final
2022-02-17 09:25:09	ga_ls7e_ard_3-2-1_104073_2022-02-16_final
2022-03-12 09:28:18	ga_ls7e_ard_3-2-1_105071_2022-03-11_final
2022-03-13 08:34:35	ga_ls7e_ard_3-2-1_096076_2022-03-12_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_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