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
2003-12-11 11:41:09	ga_ls7e_ard_3-0-0_115078_2003-12-11_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2004-05-28 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-05-28_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2004-12-22 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-12-22_final
2005-02-17 11:31:39	ga_ls7e_ard_3-0-0_113083_2005-02-17_final
2005-03-05 11:32:08	ga_ls7e_ard_3-0-0_113084_2005-03-05_final
2006-01-01 11:42:09	ga_ls7e_ard_3-0-0_115078_2006-01-01_final
2006-02-02 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-02-02_final
2006-09-16 11:31:34	ga_ls7e_ard_3-0-0_113083_2006-09-16_final
2007-06-22 11:37:17	ga_ls7e_ard_3-0-0_114080_2007-06-22_final
2008-09-21 11:27:18	ga_ls7e_ard_3-0-0_113074_2008-09-21_final
2008-12-26 11:28:02	ga_ls7e_ard_3-0-0_113074_2008-12-26_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2009-05-26 11:35:28	ga_ls7e_ard_3-0-0_114075_2009-05-26_final
2009-07-06 11:30:24	ga_ls7e_ard_3-0-0_113078_2009-07-06_final
2009-10-17 11:37:35	ga_ls7e_ard_3-0-0_114081_2009-10-17_final
2010-08-26 11:30:42	ga_ls7e_ard_3-0-0_113074_2010-08-26_final
2012-01-11 11:41:03	ga_ls7e_ard_3-0-0_114080_2012-01-11_final
2012-12-12 11:40:41	ga_ls7e_ard_3-0-0_114074_2012-12-12_final
2012-12-28 11:41:11	ga_ls7e_ard_3-0-0_114075_2012-12-28_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-01-06 11:37:00	ga_ls7e_ard_3-0-0_113080_2013-01-06_final
2013-10-28 11:37:54	ga_ls7e_ard_3-0-0_114067_2013-10-28_final
2014-03-05 11:44:12	ga_ls7e_ard_3-0-0_114081_2014-03-05_final
2015-03-01 11:40:54	ga_ls7e_ard_3-0-0_113083_2015-03-01_final
2015-05-18 11:51:27	ga_ls7e_ard_3-1-0_115077_2015-05-18_final
2015-06-21 11:40:51	ga_ls7e_ard_3-0-0_113081_2015-06-21_final
2016-02-14 11:52:41	ga_ls7e_ard_3-0-0_115074_2016-02-14_final
2017-06-10 11:44:14	ga_ls7e_ard_3-0-0_113082_2017-06-10_final
2017-06-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-06-17_final
2017-09-12 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-12_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2019-01-30 11:38:55	ga_ls7e_ard_3-0-0_114074_2019-01-30_final
2019-02-08 11:32:29	ga_ls7e_ard_3-0-0_113074_2019-02-08_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2020-04-15 11:10:58	ga_ls7e_ard_3-1-0_113067_2020-04-15_final
2020-11-23 09:37:15	ga_ls7e_ard_3-1-0_099084_2020-11-23_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2020-12-11 11:00:03	ga_ls7e_ard_3-1-0_113078_2020-12-11_final
2020-12-13 10:45:33	ga_ls7e_ard_3-1-0_111073_2020-12-13_final
2020-12-18 11:06:54	ga_ls7e_ard_3-1-0_114081_2020-12-18_final
2021-01-04 10:07:41	ga_ls7e_ard_3-1-0_105075_2021-01-04_final
2021-01-14 10:43:16	ga_ls7e_ard_3-1-0_111073_2021-01-14_final
2021-01-15 09:45:35	ga_ls7e_ard_3-1-0_102068_2021-01-15_final
2021-01-29 10:02:07	ga_ls7e_ard_3-2-0_104081_2021-01-29_final
2021-02-11 09:26:40	ga_ls7e_ard_3-2-0_099072_2021-02-10_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-03-06 09:35:52	ga_ls7e_ard_3-2-0_100084_2021-03-06_final
2021-03-08 09:18:10	ga_ls7e_ard_3-2-0_098071_2021-03-07_final
2021-03-28 10:31:07	ga_ls7e_ard_3-2-0_110072_2021-03-28_final
2021-03-30 10:22:59	ga_ls7e_ard_3-2-0_108083_2021-03-30_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-04-20 10:36:11	ga_ls7e_ard_3-2-0_111074_2021-04-20_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-17 08:41:17	ga_ls7e_ard_3-2-0_092086_2021-05-16_final
2021-05-18 09:21:16	ga_ls7e_ard_3-2-0_099078_2021-05-17_final
2021-05-19 10:03:39	ga_ls7e_ard_3-2-0_106076_2021-05-19_final
2021-06-05 10:48:15	ga_ls7e_ard_3-2-0_113083_2021-06-05_final
2021-06-11 08:33:25	ga_ls7e_ard_3-2-0_091087_2021-06-10_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-08-10 08:52:37	ga_ls7e_ard_3-2-0_095086_2021-08-09_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-09-06 10:06:13	ga_ls7e_ard_3-2-0_108075_2021-09-06_final
2021-09-22 08:30:18	ga_ls7e_ard_3-2-0_092086_2021-09-21_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-10-22 08:39:36	ga_ls7e_ard_3-2-0_094085_2021-10-21_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-10-24 08:28:15	ga_ls7e_ard_3-2-0_092088_2021-10-23_final
2021-10-30 09:25:06	ga_ls7e_ard_3-2-0_102077_2021-10-29_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-20 09:50:44	ga_ls7e_ard_3-2-1_107076_2021-12-20_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2021-12-22 09:40:34	ga_ls7e_ard_3-2-1_105082_2021-12-22_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-01-03 10:00:53	ga_ls7e_ard_3-2-1_109074_2022-01-03_final
2022-01-10 10:06:00	ga_ls7e_ard_3-2-1_110073_2022-01-10_final
2022-01-13 08:59:44	ga_ls7e_ard_3-2-1_099078_2022-01-12_final
2022-02-15 08:00:26	ga_ls7e_ard_3-2-1_090077_2022-02-14_final
2022-02-23 08:46:19	ga_ls7e_ard_3-2-1_098070_2022-02-22_final
2022-02-26 09:21:19	ga_ls7e_ard_3-2-1_103081_2022-02-25_final
2022-03-07 09:09:04	ga_ls7e_ard_3-2-1_102068_2022-03-06_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