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
1999-08-10 11:44:30	ga_ls7e_ard_3-0-0_115076_1999-08-10_final
1999-09-27 11:43:48	ga_ls7e_ard_3-0-0_115074_1999-09-27_final
1999-12-04 09:42:02	ga_ls7e_ard_3-1-0_095079_1999-12-04_final
2000-10-31 11:43:10	ga_ls7e_ard_3-0-0_115079_2000-10-31_final
2000-11-20 09:37:55	ga_ls7e_ard_3-0-0_095075_2000-11-20_final
2000-11-20 09:41:31	ga_ls7e_ard_3-0-0_095084_2000-11-20_final
2001-02-08 09:41:35	ga_ls7e_ard_3-0-0_095084_2001-02-08_final
2001-08-19 09:40:01	ga_ls7e_ard_3-0-0_095084_2001-08-19_final
2001-11-23 09:39:20	ga_ls7e_ard_3-0-0_095083_2001-11-23_final
2002-03-15 09:38:04	ga_ls7e_ard_3-1-0_095079_2002-03-15_final
2002-05-02 09:36:03	ga_ls7e_ard_3-0-0_095074_2002-05-02_final
2002-10-25 09:37:00	ga_ls7e_ard_3-1-0_095079_2002-10-25_final
2002-11-26 09:36:11	ga_ls7e_ard_3-0-0_095076_2002-11-26_final
2003-04-03 09:36:44	ga_ls7e_ard_3-0-0_095076_2003-04-03_final
2003-08-25 09:37:35	ga_ls7e_ard_3-1-0_095079_2003-08-25_final
2003-12-15 09:37:34	ga_ls7e_ard_3-0-0_095078_2003-12-15_final
2003-12-31 09:37:42	ga_ls7e_ard_3-0-0_095078_2003-12-31_final
2005-08-30 09:38:25	ga_ls7e_ard_3-1-0_095079_2005-08-30_final
2005-09-15 09:37:03	ga_ls7e_ard_3-0-0_095076_2005-09-15_final
2007-08-04 09:40:06	ga_ls7e_ard_3-0-0_095081_2007-08-04_final
2008-06-03 09:39:27	ga_ls7e_ard_3-0-0_095080_2008-06-03_final
2008-09-23 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-09-23_final
2009-03-02 09:39:38	ga_ls7e_ard_3-0-0_095080_2009-03-02_final
2009-09-26 09:39:44	ga_ls7e_ard_3-0-0_095080_2009-09-26_final
2010-04-22 09:40:12	ga_ls7e_ard_3-0-0_095076_2010-04-22_final
2011-06-28 09:43:07	ga_ls7e_ard_3-0-0_095080_2011-06-28_final
2012-11-05 09:45:02	ga_ls7e_ard_3-1-0_095079_2012-11-05_final
2012-11-21 09:47:35	ga_ls7e_ard_3-0-0_095085_2012-11-21_final
2012-12-23 09:45:20	ga_ls7e_ard_3-1-0_095079_2012-12-23_final
2013-01-24 09:45:23	ga_ls7e_ard_3-1-0_095079_2013-01-24_final
2013-01-29 11:43:38	ga_ls7e_ard_3-0-0_114081_2013-01-29_final
2013-02-09 09:45:48	ga_ls7e_ard_3-0-0_095080_2013-02-09_final
2013-03-13 09:46:08	ga_ls7e_ard_3-0-0_095081_2013-03-13_final
2013-04-30 09:44:19	ga_ls7e_ard_3-0-0_095077_2013-04-30_final
2013-06-17 09:44:27	ga_ls7e_ard_3-0-0_095078_2013-06-17_final
2013-10-07 09:46:42	ga_ls7e_ard_3-0-0_095083_2013-10-07_final
2013-10-23 09:46:03	ga_ls7e_ard_3-0-0_095081_2013-10-23_final
2014-07-06 09:47:31	ga_ls7e_ard_3-0-0_095081_2014-07-06_final
2015-05-22 09:47:04	ga_ls7e_ard_3-0-0_095075_2015-05-22_final
2015-07-25 09:46:57	ga_ls7e_ard_3-0-0_095074_2015-07-25_final
2016-04-22 09:49:55	ga_ls7e_ard_3-0-0_095075_2016-04-22_final
2018-03-27 09:49:26	ga_ls7e_ard_3-0-0_095077_2018-03-27_final
2018-08-02 09:43:13	ga_ls7e_ard_3-0-0_095067_2018-08-02_final
2019-04-15 09:40:41	ga_ls7e_ard_3-0-0_095078_2019-04-15_final
2019-05-17 09:40:16	ga_ls7e_ard_3-0-0_095080_2019-05-17_final
2019-06-02 09:38:53	ga_ls7e_ard_3-0-0_095078_2019-06-02_final
2019-10-24 09:32:38	ga_ls7e_ard_3-1-0_095077_2019-10-24_final
2020-05-03 09:22:39	ga_ls7e_ard_3-1-0_095077_2020-05-02_final
2020-06-20 09:20:11	ga_ls7e_ard_3-1-0_095078_2020-06-19_final
2020-12-13 09:07:28	ga_ls7e_ard_3-1-0_095075_2020-12-12_final
2021-02-15 09:03:38	ga_ls7e_ard_3-2-0_095077_2021-02-14_final
2021-02-25 09:39:33	ga_ls7e_ard_3-2-0_101076_2021-02-25_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-05 10:29:34	ga_ls7e_ard_3-2-0_109079_2021-03-05_final
2021-03-12 08:57:55	ga_ls7e_ard_3-2-0_094083_2021-03-11_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-04-19 09:53:01	ga_ls7e_ard_3-2-0_104074_2021-04-19_final
2021-04-19 09:54:37	ga_ls7e_ard_3-2-0_104078_2021-04-19_final
2021-04-21 09:41:17	ga_ls7e_ard_3-2-0_102076_2021-04-21_final
2021-04-21 09:41:41	ga_ls7e_ard_3-2-0_102077_2021-04-21_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-05-05 09:54:28	ga_ls7e_ard_3-2-0_104081_2021-05-05_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-13 10:42:26	ga_ls7e_ard_3-2-0_112079_2021-05-13_final
2021-05-14 09:45:08	ga_ls7e_ard_3-2-0_103075_2021-05-14_final
2021-05-30 09:45:21	ga_ls7e_ard_3-2-0_103079_2021-05-30_final
2021-06-13 09:53:23	ga_ls7e_ard_3-2-0_105071_2021-06-13_final
2021-06-14 10:39:21	ga_ls7e_ard_3-2-0_112078_2021-06-14_final
2021-06-16 08:49:57	ga_ls7e_ard_3-2-0_094083_2021-06-15_final
2021-07-11 08:39:17	ga_ls7e_ard_3-2-0_093077_2021-07-10_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-21 09:14:18	ga_ls7e_ard_3-2-0_099074_2021-07-20_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-10 08:49:49	ga_ls7e_ard_3-2-0_095079_2021-08-09_final
2021-08-14 10:02:49	ga_ls7e_ard_3-2-0_107077_2021-08-14_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-08-27 09:30:24	ga_ls7e_ard_3-2-0_102076_2021-08-27_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-06 08:28:32	ga_ls7e_ard_3-2-0_092078_2021-09-05_final
2021-09-08 08:17:36	ga_ls7e_ard_3-2-0_090082_2021-09-07_final
2021-09-09 10:38:27	ga_ls7e_ard_3-2-0_113079_2021-09-09_final
2021-09-13 08:35:17	ga_ls7e_ard_3-2-0_093081_2021-09-12_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-10 09:52:02	ga_ls7e_ard_3-2-0_106078_2021-10-10_final
2021-10-16 09:15:13	ga_ls7e_ard_3-2-0_100080_2021-10-15_final
2021-12-23 10:22:32	ga_ls7e_ard_3-2-1_112079_2021-12-23_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-01-19 10:01:22	ga_ls7e_ard_3-2-1_109079_2022-01-19_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-01-31 08:44:50	ga_ls7e_ard_3-2-1_097076_2022-01-30_final
2022-02-06 09:48:25	ga_ls7e_ard_3-2-1_107082_2022-02-06_final
2022-02-11 08:29:34	ga_ls7e_ard_3-2-1_094087_2022-02-10_final
2022-02-19 09:13:00	ga_ls7e_ard_3-2-1_102074_2022-02-18_final
2022-03-01 09:50:44	ga_ls7e_ard_3-2-1_108078_2022-03-01_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-17 08:09:51	ga_ls7e_ard_3-2-1_092077_2022-03-16_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