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
2001-11-14 09:46:39	ga_ls7e_ard_3-1-0_096086_2001-11-14_final
2002-05-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2002-05-18_final
2003-07-21 09:11:13	ga_ls7e_ard_3-1-0_090090_2003-07-20_final
2003-08-21 11:40:24	ga_ls7e_ard_3-1-0_115077_2003-08-21_final
2004-01-25 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-01-24_final
2004-02-05 09:16:22	ga_ls7e_ard_3-1-0_091086_2004-02-04_final
2004-05-16 09:27:25	ga_ls7e_ard_3-1-0_094067_2004-05-15_final
2005-10-10 09:27:16	ga_ls7e_ard_3-1-0_094067_2005-10-09_final
2005-11-04 09:29:48	ga_ls7e_ard_3-1-0_093088_2005-11-03_final
2005-12-20 09:36:25	ga_ls7e_ard_3-1-0_095073_2005-12-20_final
2005-12-26 09:02:36	ga_ls7e_ard_3-1-0_089081_2005-12-25_final
2006-01-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-01-01_final
2006-02-02 11:42:00	ga_ls7e_ard_3-1-0_115077_2006-02-02_final
2006-02-15 11:09:10	ga_ls7e_ard_3-1-0_110072_2006-02-15_final
2006-02-18 11:42:04	ga_ls7e_ard_3-1-0_115077_2006-02-18_final
2006-03-21 10:58:02	ga_ls7e_ard_3-1-0_108075_2006-03-21_final
2007-04-11 10:46:06	ga_ls7e_ard_3-1-0_106075_2007-04-11_final
2007-05-16 09:37:10	ga_ls7e_ard_3-1-0_095073_2007-05-16_final
2007-05-25 09:28:31	ga_ls7e_ard_3-1-0_094067_2007-05-24_final
2007-07-26 09:48:19	ga_ls7e_ard_3-1-0_096086_2007-07-26_final
2007-12-17 09:48:29	ga_ls7e_ard_3-1-0_096086_2007-12-17_final
2008-01-20 11:09:27	ga_ls7e_ard_3-1-0_110072_2008-01-20_final
2008-02-23 10:58:11	ga_ls7e_ard_3-1-0_108075_2008-02-23_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2009-07-20 11:42:18	ga_ls7e_ard_3-1-0_115077_2009-07-20_final
2010-01-29 10:47:17	ga_ls7e_ard_3-1-0_106075_2010-01-29_final
2010-03-14 11:11:14	ga_ls7e_ard_3-1-0_110072_2010-03-14_final
2010-11-26 10:17:32	ga_ls7e_ard_3-1-0_101075_2010-11-26_final
2011-02-01 10:48:58	ga_ls7e_ard_3-1-0_106075_2011-02-01_final
2011-03-12 09:13:39	ga_ls7e_ard_3-1-0_091068_2011-03-11_final
2011-10-15 09:13:57	ga_ls7e_ard_3-1-0_090085_2011-10-14_final
2013-08-01 10:50:50	ga_ls7e_ard_3-1-0_106075_2013-08-01_final
2014-06-26 09:13:34	ga_ls7e_ard_3-1-0_089089_2014-06-25_final
2014-07-10 09:24:48	ga_ls7e_ard_3-1-0_091086_2014-07-09_final
2014-09-03 11:05:35	ga_ls7e_ard_3-1-0_108075_2014-09-03_final
2015-03-28 09:37:17	ga_ls7e_ard_3-1-0_094067_2015-03-28_final
2015-06-23 11:28:53	ga_ls7e_ard_3-1-0_111082_2015-06-23_final
2015-10-10 10:55:41	ga_ls7e_ard_3-1-0_106075_2015-10-10_final
2016-11-27 11:10:28	ga_ls7e_ard_3-1-0_108075_2016-11-27_final
2017-03-01 11:21:11	ga_ls7e_ard_3-1-0_110072_2017-03-01_final
2017-05-04 11:22:45	ga_ls7e_ard_3-1-0_110075_2017-05-04_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2018-11-19 10:52:00	ga_ls7e_ard_3-1-0_106075_2018-11-19_final
2019-01-09 09:41:47	ga_ls7e_ard_3-1-0_095073_2019-01-09_final
2019-02-16 10:40:25	ga_ls7e_ard_3-1-0_105068_2019-02-16_final
2019-02-21 10:59:36	ga_ls7e_ard_3-1-0_108070_2019-02-21_final
2019-02-22 10:07:56	ga_ls7e_ard_3-1-0_099080_2019-02-22_final
2019-02-24 11:35:36	ga_ls7e_ard_3-1-0_113083_2019-02-24_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-25 09:21:41	ga_ls7e_ard_3-1-0_092075_2019-03-24_final
2019-08-23 11:01:24	ga_ls7e_ard_3-1-0_109076_2019-08-23_final
2019-09-01 10:52:51	ga_ls7e_ard_3-1-0_108071_2019-09-01_final
2019-09-11 09:54:12	ga_ls7e_ard_3-1-0_098080_2019-09-11_final
2019-09-22 11:10:51	ga_ls7e_ard_3-1-0_111072_2019-09-22_final
2019-10-01 11:02:18	ga_ls7e_ard_3-1-0_110067_2019-10-01_final
2019-10-05 10:38:37	ga_ls7e_ard_3-1-0_106070_2019-10-05_final
2019-10-11 10:01:41	ga_ls7e_ard_3-1-0_100071_2019-10-11_final
2019-10-31 11:17:47	ga_ls7e_ard_3-1-0_112078_2019-10-31_final
2019-11-20 10:49:21	ga_ls7e_ard_3-1-0_108071_2019-11-20_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-12-05 10:05:22	ga_ls7e_ard_3-1-0_101071_2019-12-05_final
2019-12-08 10:38:07	ga_ls7e_ard_3-1-0_106076_2019-12-08_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2019-12-24 10:34:54	ga_ls7e_ard_3-1-0_106070_2019-12-24_final
2020-01-07 09:12:02	ga_ls7e_ard_3-1-0_092081_2020-01-06_final
2020-01-14 10:52:22	ga_ls7e_ard_3-1-0_109070_2020-01-14_final
2020-01-26 09:37:37	ga_ls7e_ard_3-1-0_097070_2020-01-26_final
2020-03-10 10:02:26	ga_ls7e_ard_3-1-0_101076_2020-03-10_final
2020-03-20 09:03:40	ga_ls7e_ard_3-1-0_091085_2020-03-19_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-18 10:05:12	ga_ls7e_ard_3-1-0_102073_2020-04-18_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2020-04-23 08:46:58	ga_ls7e_ard_3-1-0_089079_2020-04-22_final
2021-01-29 09:59:19	ga_ls7e_ard_3-2-0_104074_2021-01-29_final
2021-03-25 10:04:27	ga_ls7e_ard_3-2-0_105082_2021-03-25_final
2021-04-28 09:49:15	ga_ls7e_ard_3-2-0_103082_2021-04-28_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-25 10:29:43	ga_ls7e_ard_3-2-0_111078_2021-07-25_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-08-03 08:45:28	ga_ls7e_ard_3-2-0_094082_2021-08-02_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-20 09:25:13	ga_ls7e_ard_3-2-0_101077_2021-08-19_final
2021-10-09 09:06:28	ga_ls7e_ard_3-2-0_099072_2021-10-08_final
2021-10-11 08:58:43	ga_ls7e_ard_3-2-0_097084_2021-10-10_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-21 08:53:01	ga_ls7e_ard_3-2-1_098071_2021-12-20_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-02-02 10:14:21	ga_ls7e_ard_3-2-1_111084_2022-02-02_final
2022-02-06 09:45:14	ga_ls7e_ard_3-2-1_107074_2022-02-06_final
2022-03-12 07:53:25	ga_ls7e_ard_3-2-1_089081_2022-03-11_final
2022-03-22 10:05:12	ga_ls7e_ard_3-2-1_111073_2022-03-22_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_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