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
1999-12-29 11:11:52	ga_ls7e_ard_3-1-0_110072_1999-12-29_final
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2000-03-18 11:11:42	ga_ls7e_ard_3-1-0_110072_2000-03-18_final
2003-10-25 09:09:03	ga_ls7e_ard_3-1-0_090085_2003-10-24_final
2003-12-12 09:08:15	ga_ls7e_ard_3-1-0_090082_2003-12-11_final
2004-04-30 11:08:16	ga_ls7e_ard_3-1-0_110072_2004-04-30_final
2004-06-06 11:29:56	ga_ls7e_ard_3-1-0_113080_2004-06-06_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-11-11 11:08:33	ga_ls7e_ard_3-1-0_110072_2005-11-11_final
2006-05-10 09:10:45	ga_ls7e_ard_3-1-0_090085_2006-05-09_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2007-01-17 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-01-17_final
2007-02-18 11:09:33	ga_ls7e_ard_3-1-0_110072_2007-02-18_final
2007-03-15 09:30:33	ga_ls7e_ard_3-1-0_093087_2007-03-15_final
2007-06-03 11:06:46	ga_ls7e_ard_3-1-0_109081_2007-06-03_final
2007-06-14 09:10:57	ga_ls7e_ard_3-1-0_090085_2007-06-13_final
2007-08-26 09:06:04	ga_ls7e_ard_3-1-0_089089_2007-08-25_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2007-11-05 09:09:31	ga_ls7e_ard_3-1-0_090082_2007-11-04_final
2007-12-16 09:06:25	ga_ls7e_ard_3-1-0_089089_2007-12-15_final
2008-01-04 11:09:28	ga_ls7e_ard_3-1-0_110072_2008-01-04_final
2008-01-24 09:11:02	ga_ls7e_ard_3-1-0_090085_2008-01-23_final
2008-08-08 09:29:14	ga_ls7e_ard_3-1-0_093087_2008-08-07_final
2009-01-06 11:08:45	ga_ls7e_ard_3-1-0_110072_2009-01-06_final
2009-06-08 09:28:52	ga_ls7e_ard_3-1-0_093083_2009-06-07_final
2010-03-30 11:11:18	ga_ls7e_ard_3-1-0_110072_2010-03-30_final
2010-10-21 09:05:21	ga_ls7e_ard_3-1-0_089081_2010-10-20_final
2010-11-13 09:13:23	ga_ls7e_ard_3-1-0_090085_2010-11-12_final
2011-06-18 09:09:41	ga_ls7e_ard_3-1-0_089089_2011-06-17_final
2011-08-01 09:33:29	ga_ls7e_ard_3-1-0_093087_2011-08-01_final
2011-08-02 10:14:21	ga_ls7e_ard_3-1-0_100081_2011-08-02_final
2011-09-02 09:33:23	ga_ls7e_ard_3-1-0_093087_2011-09-02_final
2012-01-31 11:13:09	ga_ls7e_ard_3-1-0_110072_2012-01-31_final
2012-06-07 11:13:26	ga_ls7e_ard_3-1-0_110072_2012-06-07_final
2013-11-10 09:36:12	ga_ls7e_ard_3-1-0_093087_2013-11-10_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-07-15 11:16:37	ga_ls7e_ard_3-1-0_110072_2014-07-15_final
2014-09-01 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-09-01_final
2014-11-13 09:38:17	ga_ls7e_ard_3-1-0_093087_2014-11-13_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-06-02 10:16:51	ga_ls7e_ard_3-1-0_100071_2018-06-02_final
2018-06-24 11:18:39	ga_ls7e_ard_3-1-0_110072_2018-06-24_final
2018-10-14 11:16:20	ga_ls7e_ard_3-1-0_110072_2018-10-14_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-02-24 09:51:08	ga_ls7e_ard_3-1-0_097069_2019-02-24_final
2019-03-10 10:09:02	ga_ls7e_ard_3-1-0_099084_2019-03-10_final
2019-03-21 11:22:14	ga_ls7e_ard_3-1-0_112067_2019-03-21_final
2019-03-21 11:28:13	ga_ls7e_ard_3-1-0_112082_2019-03-21_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-04-24 11:10:40	ga_ls7e_ard_3-1-0_110072_2019-04-24_final
2019-08-30 11:06:53	ga_ls7e_ard_3-1-0_110075_2019-08-30_final
2019-09-04 09:44:20	ga_ls7e_ard_3-1-0_097070_2019-09-04_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-09-13 11:21:26	ga_ls7e_ard_3-1-0_112082_2019-09-13_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-24 10:59:36	ga_ls7e_ard_3-1-0_109075_2019-09-24_final
2019-10-04 09:54:12	ga_ls7e_ard_3-1-0_099067_2019-10-04_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-10-26 10:56:16	ga_ls7e_ard_3-1-0_109070_2019-10-26_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-11 10:57:09	ga_ls7e_ard_3-1-0_109074_2019-11-11_final
2019-11-13 10:44:42	ga_ls7e_ard_3-1-0_107074_2019-11-13_final
2019-11-13 10:48:41	ga_ls7e_ard_3-1-0_107084_2019-11-13_final
2019-12-07 09:53:18	ga_ls7e_ard_3-1-0_099072_2019-12-07_final
2019-12-08 08:59:38	ga_ls7e_ard_3-1-0_090077_2019-12-07_final
2019-12-17 08:54:35	ga_ls7e_ard_3-1-0_089081_2019-12-16_final
2019-12-17 08:54:59	ga_ls7e_ard_3-1-0_089082_2019-12-16_final
2019-12-20 10:58:38	ga_ls7e_ard_3-1-0_110067_2019-12-20_final
2019-12-23 09:57:17	ga_ls7e_ard_3-1-0_099084_2019-12-23_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-29 10:54:23	ga_ls7e_ard_3-1-0_109073_2019-12-29_final
2020-01-09 08:59:59	ga_ls7e_ard_3-1-0_090082_2020-01-08_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-14 10:53:58	ga_ls7e_ard_3-1-0_109074_2020-01-14_final
2020-01-20 10:16:11	ga_ls7e_ard_3-1-0_103073_2020-01-20_final
2020-01-30 09:14:41	ga_ls7e_ard_3-1-0_093075_2020-01-29_final
2020-01-31 09:57:06	ga_ls7e_ard_3-1-0_100073_2020-01-31_final
2020-02-19 08:50:08	ga_ls7e_ard_3-1-0_089078_2020-02-18_final
2020-02-19 08:52:56	ga_ls7e_ard_3-1-0_089085_2020-02-18_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-02-27 09:35:34	ga_ls7e_ard_3-1-0_097069_2020-02-27_final
2020-03-05 11:25:02	ga_ls7e_ard_3-1-0_114081_2020-03-05_final
2020-03-14 09:38:41	ga_ls7e_ard_3-1-0_097079_2020-03-14_final
2020-03-15 10:19:30	ga_ls7e_ard_3-1-0_104073_2020-03-15_final
2020-03-29 08:56:59	ga_ls7e_ard_3-1-0_090085_2020-03-28_final
2020-04-04 09:52:52	ga_ls7e_ard_3-1-0_100071_2020-04-04_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-10 10:55:55	ga_ls7e_ard_3-1-0_110075_2020-04-10_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-04-03 08:49:30	ga_ls7e_ard_3-2-1_099072_2022-04-02_final
2022-04-04 09:31:27	ga_ls7e_ard_3-2-1_106069_2022-04-04_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