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 09:45:16	ga_ls7e_ard_3-0-0_095087_1999-07-29_final
1999-09-15 09:42:49	ga_ls7e_ard_3-0-0_095081_1999-09-15_final
1999-12-20 09:42:55	ga_ls7e_ard_3-0-0_095081_1999-12-20_final
2001-01-03 11:42:23	ga_ls7e_ard_3-1-0_115077_2001-01-03_final
2002-11-26 09:35:24	ga_ls7e_ard_3-0-0_095074_2002-11-26_final
2002-12-28 09:35:09	ga_ls7e_ard_3-1-0_095073_2002-12-28_final
2003-01-13 09:36:00	ga_ls7e_ard_3-0-0_095075_2003-01-13_final
2003-03-18 09:36:19	ga_ls7e_ard_3-0-0_095075_2003-03-18_final
2004-05-23 09:36:23	ga_ls7e_ard_3-0-0_095074_2004-05-23_final
2004-10-19 11:35:18	ga_ls7e_ard_3-0-0_114079_2004-10-19_final
2005-12-09 11:36:14	ga_ls7e_ard_3-0-0_114079_2005-12-09_final
2007-01-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2007-01-24_final
2007-03-02 11:36:43	ga_ls7e_ard_3-0-0_114078_2007-03-02_final
2007-05-05 11:37:27	ga_ls7e_ard_3-0-0_114080_2007-05-05_final
2007-07-19 09:40:35	ga_ls7e_ard_3-0-0_095082_2007-07-19_final
2007-12-26 09:41:08	ga_ls7e_ard_3-0-0_095083_2007-12-26_final
2008-06-03 09:40:15	ga_ls7e_ard_3-0-0_095082_2008-06-03_final
2008-06-03 09:41:03	ga_ls7e_ard_3-0-0_095084_2008-06-03_final
2008-07-21 09:39:19	ga_ls7e_ard_3-0-0_095081_2008-07-21_final
2009-04-19 09:41:57	ga_ls7e_ard_3-0-0_095085_2009-04-19_final
2009-07-13 11:36:09	ga_ls7e_ard_3-0-0_114077_2009-07-13_final
2010-02-01 09:43:20	ga_ls7e_ard_3-0-0_095085_2010-02-01_final
2011-03-29 11:39:01	ga_ls7e_ard_3-0-0_114076_2011-03-29_final
2011-09-05 11:39:58	ga_ls7e_ard_3-0-0_114079_2011-09-05_final
2011-12-21 09:44:41	ga_ls7e_ard_3-0-0_095083_2011-12-21_final
2012-01-22 09:44:23	ga_ls7e_ard_3-0-0_095082_2012-01-22_final
2012-10-04 09:47:13	ga_ls7e_ard_3-0-0_095085_2012-10-04_final
2012-11-21 09:45:35	ga_ls7e_ard_3-0-0_095080_2012-11-21_final
2013-01-24 09:44:35	ga_ls7e_ard_3-0-0_095077_2013-01-24_final
2013-06-17 09:46:27	ga_ls7e_ard_3-0-0_095083_2013-06-17_final
2013-09-05 09:46:43	ga_ls7e_ard_3-0-0_095084_2013-09-05_final
2013-09-21 09:42:06	ga_ls7e_ard_3-0-0_095072_2013-09-21_final
2014-12-29 09:46:54	ga_ls7e_ard_3-0-0_095077_2014-12-29_final
2014-12-29 09:47:18	ga_ls7e_ard_3-0-0_095078_2014-12-29_final
2015-10-29 09:52:01	ga_ls7e_ard_3-0-0_095085_2015-10-29_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2017-01-19 09:51:42	ga_ls7e_ard_3-0-0_095080_2017-01-19_final
2017-04-21 11:53:12	ga_ls7e_ard_3-0-0_115074_2017-04-21_final
2017-05-23 11:53:19	ga_ls7e_ard_3-0-0_115074_2017-05-23_final
2017-08-31 09:53:24	ga_ls7e_ard_3-0-0_095083_2017-08-31_final
2018-02-23 09:51:26	ga_ls7e_ard_3-0-0_095081_2018-02-23_final
2018-10-05 09:48:39	ga_ls7e_ard_3-0-0_095084_2018-10-05_final
2018-12-04 11:48:02	ga_ls7e_ard_3-1-0_115077_2018-12-04_final
2018-12-08 09:43:55	ga_ls7e_ard_3-0-0_095076_2018-12-08_final
2019-01-25 09:44:04	ga_ls7e_ard_3-0-0_095080_2019-01-25_final
2019-04-15 09:39:29	ga_ls7e_ard_3-0-0_095075_2019-04-15_final
2020-03-05 11:24:14	ga_ls7e_ard_3-1-0_114079_2020-03-05_final
2020-07-06 09:18:02	ga_ls7e_ard_3-1-0_095075_2020-07-05_final
2020-10-10 09:15:30	ga_ls7e_ard_3-1-0_095084_2020-10-09_final
2021-03-02 09:57:43	ga_ls7e_ard_3-2-0_104076_2021-03-02_final
2021-03-03 09:05:36	ga_ls7e_ard_3-2-0_095085_2021-03-02_final
2021-03-06 09:34:16	ga_ls7e_ard_3-2-0_100080_2021-03-06_final
2021-03-12 10:35:36	ga_ls7e_ard_3-2-0_110080_2021-03-12_final
2021-03-30 10:21:48	ga_ls7e_ard_3-2-0_108080_2021-03-30_final
2021-04-22 10:26:27	ga_ls7e_ard_3-2-0_109081_2021-04-22_final
2021-05-01 10:18:19	ga_ls7e_ard_3-2-0_108078_2021-05-01_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-24 08:43:17	ga_ls7e_ard_3-2-0_093077_2021-05-23_final
2021-05-24 08:44:29	ga_ls7e_ard_3-2-0_093080_2021-05-23_final
2021-05-24 10:20:10	ga_ls7e_ard_3-2-0_109072_2021-05-24_final
2021-05-31 10:26:08	ga_ls7e_ard_3-2-0_110073_2021-05-31_final
2021-06-02 08:36:19	ga_ls7e_ard_3-2-0_092077_2021-06-01_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-09 08:42:20	ga_ls7e_ard_3-2-0_093078_2021-06-08_final
2021-06-26 09:24:36	ga_ls7e_ard_3-2-0_100079_2021-06-25_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-14 09:07:56	ga_ls7e_ard_3-2-0_098072_2021-07-13_final
2021-07-14 10:48:24	ga_ls7e_ard_3-2-0_114076_2021-07-14_final
2021-07-24 09:43:21	ga_ls7e_ard_3-2-0_104070_2021-07-24_final
2021-07-27 08:37:30	ga_ls7e_ard_3-2-0_093076_2021-07-26_final
2021-08-07 09:59:40	ga_ls7e_ard_3-2-0_106083_2021-08-07_final
2021-08-09 09:42:44	ga_ls7e_ard_3-2-0_104072_2021-08-09_final
2021-08-19 08:44:02	ga_ls7e_ard_3-2-0_094082_2021-08-18_final
2021-09-15 08:20:45	ga_ls7e_ard_3-2-0_091076_2021-09-14_final
2021-10-22 08:38:00	ga_ls7e_ard_3-2-0_094081_2021-10-21_final
2021-10-27 08:52:53	ga_ls7e_ard_3-2-0_097073_2021-10-26_final
2021-11-02 08:20:02	ga_ls7e_ard_3-2-0_091085_2021-11-01_final
2021-11-18 09:52:11	ga_ls7e_ard_3-2-1_107072_2021-11-18_final
2021-12-05 10:36:37	ga_ls7e_ard_3-2-1_114079_2021-12-05_final
2021-12-08 09:27:34	ga_ls7e_ard_3-2-1_103077_2021-12-07_final
2021-12-11 09:57:47	ga_ls7e_ard_3-2-1_108076_2021-12-11_final
2021-12-14 10:30:23	ga_ls7e_ard_3-2-1_113081_2021-12-14_final
2021-12-18 08:26:00	ga_ls7e_ard_3-2-1_093080_2021-12-17_final
2022-01-01 08:38:10	ga_ls7e_ard_3-2-1_095083_2021-12-31_final
2022-01-05 08:11:26	ga_ls7e_ard_3-2-1_091079_2022-01-04_final
2022-01-08 10:20:09	ga_ls7e_ard_3-2-1_112077_2022-01-08_final
2022-01-08 10:21:20	ga_ls7e_ard_3-2-1_112080_2022-01-08_final
2022-01-22 10:31:58	ga_ls7e_ard_3-2-1_114079_2022-01-22_final
2022-02-11 10:05:39	ga_ls7e_ard_3-2-1_110080_2022-02-11_final
2022-02-16 08:44:47	ga_ls7e_ard_3-2-1_097080_2022-02-15_final
2022-02-23 10:27:11	ga_ls7e_ard_3-2-1_114075_2022-02-23_final
2022-03-04 08:42:51	ga_ls7e_ard_3-2-1_097079_2022-03-03_final
2022-03-15 08:23:37	ga_ls7e_ard_3-2-1_094080_2022-03-14_final
2022-03-17 08:11:03	ga_ls7e_ard_3-2-1_092080_2022-03-16_final
2022-03-17 09:49:31	ga_ls7e_ard_3-2-1_108079_2022-03-17_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_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