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
2000-03-14 11:39:35	ga_ls7e_ard_3-0-0_114080_2000-03-14_final
2004-05-03 11:41:34	ga_ls7e_ard_3-0-0_115078_2004-05-03_final
2004-07-24 11:30:57	ga_ls7e_ard_3-0-0_113083_2004-07-24_final
2005-05-22 11:40:24	ga_ls7e_ard_3-0-0_115074_2005-05-22_final
2006-11-26 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-11-26_final
2007-01-20 11:43:03	ga_ls7e_ard_3-0-0_115079_2007-01-20_final
2009-01-02 11:36:38	ga_ls7e_ard_3-0-0_114080_2009-01-02_final
2009-07-29 11:34:53	ga_ls7e_ard_3-0-0_114074_2009-07-29_final
2010-04-20 11:34:15	ga_ls7e_ard_3-0-0_113083_2010-04-20_final
2010-05-04 11:43:47	ga_ls7e_ard_3-0-0_115076_2010-05-04_final
2010-12-23 11:39:18	ga_ls7e_ard_3-0-0_114078_2010-12-23_final
2011-05-16 11:35:24	ga_ls7e_ard_3-0-0_114067_2011-05-16_final
2011-06-08 11:44:25	ga_ls7e_ard_3-0-0_115074_2011-06-08_final
2011-07-26 11:45:53	ga_ls7e_ard_3-0-0_115078_2011-07-26_final
2012-01-02 11:46:25	ga_ls7e_ard_3-0-0_115078_2012-01-02_final
2012-01-11 11:41:27	ga_ls7e_ard_3-0-0_114081_2012-01-11_final
2012-08-31 11:36:56	ga_ls7e_ard_3-0-0_113082_2012-08-31_final
2012-12-28 11:41:59	ga_ls7e_ard_3-0-0_114077_2012-12-28_final
2013-12-24 11:38:01	ga_ls7e_ard_3-0-0_113082_2013-12-24_final
2014-04-22 11:39:00	ga_ls7e_ard_3-0-0_114067_2014-04-22_final
2016-02-23 11:48:29	ga_ls7e_ard_3-0-0_114079_2016-02-23_final
2016-09-09 11:53:31	ga_ls7e_ard_3-0-0_115074_2016-09-09_final
2017-01-17 11:44:10	ga_ls7e_ard_3-0-0_113083_2017-01-17_final
2017-01-31 11:52:49	ga_ls7e_ard_3-0-0_115074_2017-01-31_final
2017-08-29 11:44:15	ga_ls7e_ard_3-0-0_113082_2017-08-29_final
2017-09-30 11:44:14	ga_ls7e_ard_3-0-0_113082_2017-09-30_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2018-09-15 11:50:19	ga_ls7e_ard_3-0-0_115078_2018-09-15_final
2018-10-01 11:49:57	ga_ls7e_ard_3-0-0_115078_2018-10-01_final
2019-02-24 11:35:36	ga_ls7e_ard_3-1-0_113083_2019-02-24_final
2019-05-31 11:31:48	ga_ls7e_ard_3-0-0_113082_2019-05-31_final
2019-11-05 11:36:06	ga_ls7e_ard_3-1-0_115078_2019-11-05_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-06-02 11:14:04	ga_ls7e_ard_3-1-0_113082_2020-06-02_final
2020-10-08 11:06:04	ga_ls7e_ard_3-1-0_113082_2020-10-08_final
2020-11-21 09:44:34	ga_ls7e_ard_3-1-0_101071_2020-11-21_final
2020-11-23 09:32:04	ga_ls7e_ard_3-1-0_099071_2020-11-23_final
2020-12-10 08:38:23	ga_ls7e_ard_3-1-0_090079_2020-12-09_final
2020-12-18 09:27:37	ga_ls7e_ard_3-1-0_098080_2020-12-17_final
2020-12-21 09:57:53	ga_ls7e_ard_3-1-0_103079_2020-12-21_final
2020-12-26 10:13:41	ga_ls7e_ard_3-1-0_106073_2020-12-26_final
2021-01-02 08:45:18	ga_ls7e_ard_3-1-0_091085_2021-01-01_final
2021-01-02 10:18:11	ga_ls7e_ard_3-1-0_107070_2021-01-02_final
2021-01-14 10:42:52	ga_ls7e_ard_3-1-0_111072_2021-01-14_final
2021-02-06 09:08:54	ga_ls7e_ard_3-2-0_096073_2021-02-05_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-08 10:36:04	ga_ls7e_ard_3-2-0_110075_2021-02-08_final
2021-02-13 10:51:02	ga_ls7e_ard_3-2-0_113067_2021-02-13_final
2021-02-20 09:18:12	ga_ls7e_ard_3-2-0_098068_2021-02-19_final
2021-02-25 09:41:57	ga_ls7e_ard_3-2-0_101082_2021-02-25_final
2021-03-15 09:24:12	ga_ls7e_ard_3-2-0_099072_2021-03-14_final
2021-03-15 09:26:59	ga_ls7e_ard_3-2-0_099079_2021-03-14_final
2021-04-29 10:28:51	ga_ls7e_ard_3-2-0_110073_2021-04-29_final
2021-05-09 09:25:25	ga_ls7e_ard_3-2-0_100071_2021-05-08_final
2021-05-17 08:36:54	ga_ls7e_ard_3-2-0_092075_2021-05-16_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-05-31 10:25:44	ga_ls7e_ard_3-2-0_110072_2021-05-31_final
2021-06-15 09:41:15	ga_ls7e_ard_3-2-0_103072_2021-06-15_final
2021-06-16 10:24:50	ga_ls7e_ard_3-2-0_110073_2021-06-16_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-07 09:05:56	ga_ls7e_ard_3-2-0_097081_2021-07-06_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-09 10:27:06	ga_ls7e_ard_3-2-0_111068_2021-07-09_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-23 10:43:03	ga_ls7e_ard_3-2-0_113080_2021-07-23_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-10 08:52:13	ga_ls7e_ard_3-2-0_095085_2021-08-09_final
2021-08-16 09:52:17	ga_ls7e_ard_3-2-0_105082_2021-08-16_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-08-25 09:39:44	ga_ls7e_ard_3-2-0_104068_2021-08-25_final
2021-08-25 09:45:19	ga_ls7e_ard_3-2-0_104082_2021-08-25_final
2021-08-30 09:58:39	ga_ls7e_ard_3-2-0_107070_2021-08-30_final
2021-09-04 10:15:33	ga_ls7e_ard_3-2-0_110067_2021-09-04_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-26 09:36:55	ga_ls7e_ard_3-2-0_104068_2021-09-26_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-08 10:06:58	ga_ls7e_ard_3-2-0_108084_2021-10-08_final
2021-10-11 08:58:43	ga_ls7e_ard_3-2-0_097084_2021-10-10_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-11-10 09:07:55	ga_ls7e_ard_3-2-0_099083_2021-11-09_final
2021-11-14 08:42:24	ga_ls7e_ard_3-2-1_095082_2021-11-13_final
2021-11-16 10:04:20	ga_ls7e_ard_3-2-1_109071_2021-11-16_final
2021-11-17 09:13:49	ga_ls7e_ard_3-2-1_100084_2021-11-16_final
2021-11-27 09:44:44	ga_ls7e_ard_3-2-1_106071_2021-11-27_final
2021-12-12 09:02:52	ga_ls7e_ard_3-2-1_099078_2021-12-11_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2021-12-28 09:01:18	ga_ls7e_ard_3-2-1_099078_2021-12-27_final
2022-01-23 07:56:59	ga_ls7e_ard_3-2-1_089078_2022-01-22_final
2022-01-29 09:00:11	ga_ls7e_ard_3-2-1_099083_2022-01-28_final
2022-02-06 08:11:08	ga_ls7e_ard_3-2-1_091086_2022-02-05_final
2022-02-07 08:48:43	ga_ls7e_ard_3-2-1_098072_2022-02-06_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-22 09:44:01	ga_ls7e_ard_3-2-1_107075_2022-02-22_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-22 10:05:12	ga_ls7e_ard_3-2-1_111073_2022-03-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years