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
1999-11-07 11:37:56	ga_ls7e_ard_3-0-0_114075_1999-11-07_final
2000-09-29 11:42:27	ga_ls7e_ard_3-1-0_115077_2000-09-29_final
2000-10-08 11:36:36	ga_ls7e_ard_3-0-0_114078_2000-10-08_final
2001-08-24 11:35:00	ga_ls7e_ard_3-0-0_114078_2001-08-24_final
2001-09-25 11:34:16	ga_ls7e_ard_3-0-0_114077_2001-09-25_final
2001-12-30 11:35:14	ga_ls7e_ard_3-0-0_114079_2001-12-30_final
2002-03-04 11:35:10	ga_ls7e_ard_3-0-0_114078_2002-03-04_final
2002-07-17 11:39:09	ga_ls7e_ard_3-0-0_115074_2002-07-17_final
2003-05-01 11:41:34	ga_ls7e_ard_3-0-0_115079_2003-05-01_final
2003-08-30 11:34:11	ga_ls7e_ard_3-0-0_114077_2003-08-30_final
2004-03-25 11:35:54	ga_ls7e_ard_3-0-0_114079_2004-03-25_final
2004-04-10 11:35:50	ga_ls7e_ard_3-0-0_114079_2004-04-10_final
2004-05-03 11:41:58	ga_ls7e_ard_3-0-0_115079_2004-05-03_final
2004-05-12 11:34:13	ga_ls7e_ard_3-0-0_114075_2004-05-12_final
2004-12-22 11:35:06	ga_ls7e_ard_3-0-0_114077_2004-12-22_final
2006-03-15 11:35:55	ga_ls7e_ard_3-0-0_114077_2006-03-15_final
2007-06-22 11:36:29	ga_ls7e_ard_3-0-0_114078_2007-06-22_final
2007-08-09 11:37:06	ga_ls7e_ard_3-0-0_114080_2007-08-09_final
2008-02-17 11:35:42	ga_ls7e_ard_3-0-0_114076_2008-02-17_final
2009-04-24 11:36:12	ga_ls7e_ard_3-0-0_114077_2009-04-24_final
2010-01-21 11:37:01	ga_ls7e_ard_3-0-0_114076_2010-01-21_final
2010-05-04 11:44:59	ga_ls7e_ard_3-0-0_115079_2010-05-04_final
2010-09-02 11:39:18	ga_ls7e_ard_3-0-0_114080_2010-09-02_final
2010-12-23 11:38:30	ga_ls7e_ard_3-0-0_114076_2010-12-23_final
2011-06-24 11:45:33	ga_ls7e_ard_3-0-0_115077_2011-06-24_final
2013-03-02 11:42:46	ga_ls7e_ard_3-0-0_114079_2013-03-02_final
2014-04-22 11:42:12	ga_ls7e_ard_3-0-0_114075_2014-04-22_final
2015-04-25 11:44:41	ga_ls7e_ard_3-0-0_114076_2015-04-25_final
2015-08-15 11:47:16	ga_ls7e_ard_3-0-0_114081_2015-08-15_final
2015-12-21 11:47:05	ga_ls7e_ard_3-0-0_114077_2015-12-21_final
2017-03-29 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-03-29_final
2018-03-16 11:46:13	ga_ls7e_ard_3-0-0_114075_2018-03-16_final
2018-03-16 11:47:01	ga_ls7e_ard_3-0-0_114077_2018-03-16_final
2019-06-14 11:40:28	ga_ls7e_ard_3-0-0_115074_2019-06-14_final
2020-04-06 11:21:40	ga_ls7e_ard_3-1-0_114077_2020-04-06_final
2020-11-21 09:44:58	ga_ls7e_ard_3-1-0_101072_2020-11-21_final
2020-12-03 10:12:01	ga_ls7e_ard_3-1-0_105080_2020-12-03_final
2020-12-06 10:41:53	ga_ls7e_ard_3-1-0_110078_2020-12-06_final
2020-12-10 08:40:23	ga_ls7e_ard_3-1-0_090084_2020-12-09_final
2020-12-26 08:38:24	ga_ls7e_ard_3-1-0_090082_2020-12-25_final
2021-01-13 10:02:28	ga_ls7e_ard_3-1-0_104079_2021-01-13_final
2021-01-28 10:55:49	ga_ls7e_ard_3-2-0_113076_2021-01-28_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-02-04 09:21:48	ga_ls7e_ard_3-2-0_098074_2021-02-03_final
2021-02-04 09:22:36	ga_ls7e_ard_3-2-0_098076_2021-02-03_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-24 08:59:10	ga_ls7e_ard_3-2-0_094083_2021-02-23_final
2021-03-01 09:14:32	ga_ls7e_ard_3-2-0_097076_2021-02-28_final
2021-03-08 09:18:58	ga_ls7e_ard_3-2-0_098073_2021-03-07_final
2021-03-27 09:50:44	ga_ls7e_ard_3-2-0_103079_2021-03-27_final
2021-04-18 09:09:50	ga_ls7e_ard_3-2-0_097074_2021-04-17_final
2021-04-24 10:10:20	ga_ls7e_ard_3-2-0_107072_2021-04-24_final
2021-04-25 10:54:42	ga_ls7e_ard_3-2-0_114075_2021-04-25_final
2021-04-29 08:53:09	ga_ls7e_ard_3-2-0_094081_2021-04-28_final
2021-05-08 08:46:14	ga_ls7e_ard_3-2-0_093081_2021-05-07_final
2021-05-15 08:52:13	ga_ls7e_ard_3-2-0_094082_2021-05-14_final
2021-05-15 10:29:06	ga_ls7e_ard_3-2-0_110077_2021-05-15_final
2021-05-15 10:30:42	ga_ls7e_ard_3-2-0_110081_2021-05-15_final
2021-05-24 10:20:10	ga_ls7e_ard_3-2-0_109072_2021-05-24_final
2021-05-26 08:31:09	ga_ls7e_ard_3-2-0_091078_2021-05-25_final
2021-05-26 08:32:45	ga_ls7e_ard_3-2-0_091082_2021-05-25_final
2021-06-03 09:19:06	ga_ls7e_ard_3-2-0_099076_2021-06-02_final
2021-06-18 08:35:26	ga_ls7e_ard_3-2-0_092078_2021-06-17_final
2021-07-04 08:33:42	ga_ls7e_ard_3-2-0_092077_2021-07-03_final
2021-07-04 08:35:17	ga_ls7e_ard_3-2-0_092081_2021-07-03_final
2021-07-11 10:16:34	ga_ls7e_ard_3-2-0_109073_2021-07-11_final
2021-07-22 09:56:41	ga_ls7e_ard_3-2-0_106072_2021-07-22_final
2021-08-08 10:40:02	ga_ls7e_ard_3-2-0_113076_2021-08-08_final
2021-08-28 08:36:41	ga_ls7e_ard_3-2-0_093081_2021-08-27_final
2021-09-05 09:23:26	ga_ls7e_ard_3-2-0_101076_2021-09-04_final
2021-10-04 08:51:10	ga_ls7e_ard_3-2-0_096079_2021-10-03_final
2021-10-04 10:28:51	ga_ls7e_ard_3-2-0_112076_2021-10-04_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-12 09:39:30	ga_ls7e_ard_3-2-0_104078_2021-10-12_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-20 08:50:32	ga_ls7e_ard_3-2-0_096081_2021-10-19_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-10-27 10:32:34	ga_ls7e_ard_3-2-0_113075_2021-10-27_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-18 09:52:11	ga_ls7e_ard_3-2-1_107072_2021-11-18_final
2021-11-27 09:47:56	ga_ls7e_ard_3-2-1_106079_2021-11-27_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-26 09:13:04	ga_ls7e_ard_3-2-1_101076_2021-12-25_final
2021-12-29 09:45:15	ga_ls7e_ard_3-2-1_106080_2021-12-29_final
2021-12-30 08:49:56	ga_ls7e_ard_3-2-1_097081_2021-12-29_final
2022-01-02 09:18:32	ga_ls7e_ard_3-2-1_102076_2022-01-01_final
2022-01-04 09:07:10	ga_ls7e_ard_3-2-1_100079_2022-01-03_final
2022-01-06 10:33:29	ga_ls7e_ard_3-2-1_114079_2022-01-06_final
2022-01-15 08:49:11	ga_ls7e_ard_3-2-1_097083_2022-01-14_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-14 10:33:50	ga_ls7e_ard_3-2-1_115074_2022-02-14_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-03-05 09:25:13	ga_ls7e_ard_3-2-1_104077_2022-03-04_final
2022-03-10 09:44:52	ga_ls7e_ard_3-2-1_107081_2022-03-10_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_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