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
1999-08-17 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-08-17_final
1999-09-04 11:39:10	ga_ls7e_ard_3-0-0_114078_1999-09-04_final
1999-10-29 11:45:41	ga_ls7e_ard_3-0-0_115079_1999-10-29_final
2000-01-26 11:39:02	ga_ls7e_ard_3-0-0_114078_2000-01-26_final
2000-03-14 11:37:35	ga_ls7e_ard_3-0-0_114075_2000-03-14_final
2000-08-12 11:42:41	ga_ls7e_ard_3-0-0_115076_2000-08-12_final
2001-01-12 11:36:18	ga_ls7e_ard_3-0-0_114077_2001-01-12_final
2001-11-12 11:33:30	ga_ls7e_ard_3-0-0_114075_2001-11-12_final
2002-05-07 11:33:52	ga_ls7e_ard_3-0-0_114075_2002-05-07_final
2002-12-01 11:33:40	ga_ls7e_ard_3-0-0_114076_2002-12-01_final
2003-03-23 11:35:17	ga_ls7e_ard_3-0-0_114079_2003-03-23_final
2003-03-30 11:39:30	ga_ls7e_ard_3-0-0_115074_2003-03-30_final
2003-05-26 11:35:43	ga_ls7e_ard_3-0-0_114080_2003-05-26_final
2004-09-01 11:35:45	ga_ls7e_ard_3-0-0_114080_2004-09-01_final
2005-10-22 11:35:03	ga_ls7e_ard_3-0-0_114077_2005-10-22_final
2005-11-07 11:35:14	ga_ls7e_ard_3-0-0_114077_2005-11-07_final
2006-05-25 11:42:52	ga_ls7e_ard_3-0-0_115079_2006-05-25_final
2007-03-18 11:35:57	ga_ls7e_ard_3-0-0_114076_2007-03-18_final
2008-07-26 11:34:42	ga_ls7e_ard_3-0-0_114076_2008-07-26_final
2011-06-17 11:39:48	ga_ls7e_ard_3-0-0_114078_2011-06-17_final
2012-06-19 11:40:16	ga_ls7e_ard_3-0-0_114077_2012-06-19_final
2013-06-06 11:41:07	ga_ls7e_ard_3-0-0_114076_2013-06-06_final
2016-10-04 11:48:11	ga_ls7e_ard_3-0-0_114076_2016-10-04_final
2017-10-07 11:48:02	ga_ls7e_ard_3-0-0_114076_2017-10-07_final
2018-07-29 11:51:41	ga_ls7e_ard_3-0-0_115079_2018-07-29_final
2018-10-26 11:42:23	ga_ls7e_ard_3-0-0_114076_2018-10-26_final
2019-07-09 11:34:08	ga_ls7e_ard_3-0-0_114076_2019-07-09_final
2020-01-01 11:27:31	ga_ls7e_ard_3-1-0_114079_2020-01-01_final
2020-11-25 09:23:57	ga_ls7e_ard_3-1-0_097082_2020-11-24_final
2020-12-27 09:19:35	ga_ls7e_ard_3-1-0_097077_2020-12-26_final
2021-01-23 10:38:50	ga_ls7e_ard_3-2-0_110079_2021-01-23_final
2021-01-30 09:06:25	ga_ls7e_ard_3-2-0_095081_2021-01-29_final
2021-02-08 08:59:11	ga_ls7e_ard_3-2-0_094080_2021-02-07_final
2021-02-19 10:15:54	ga_ls7e_ard_3-2-0_107073_2021-02-19_final
2021-02-22 09:09:17	ga_ls7e_ard_3-2-0_096077_2021-02-21_final
2021-02-28 08:34:08	ga_ls7e_ard_3-2-0_090083_2021-02-27_final
2021-03-09 10:02:09	ga_ls7e_ard_3-2-0_105073_2021-03-09_final
2021-03-18 09:56:03	ga_ls7e_ard_3-2-0_104075_2021-03-18_final
2021-03-20 09:45:07	ga_ls7e_ard_3-2-0_102079_2021-03-20_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-03-28 08:54:38	ga_ls7e_ard_3-2-0_094078_2021-03-27_final
2021-04-15 10:16:52	ga_ls7e_ard_3-2-0_108071_2021-04-15_final
2021-04-15 10:17:16	ga_ls7e_ard_3-2-0_108072_2021-04-15_final
2021-04-27 09:04:29	ga_ls7e_ard_3-2-0_096078_2021-04-26_final
2021-04-29 08:53:33	ga_ls7e_ard_3-2-0_094082_2021-04-28_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-13 09:01:34	ga_ls7e_ard_3-2-0_096074_2021-05-12_final
2021-05-13 10:37:39	ga_ls7e_ard_3-2-0_112067_2021-05-13_final
2021-05-16 09:31:48	ga_ls7e_ard_3-2-0_101073_2021-05-16_final
2021-05-29 09:02:11	ga_ls7e_ard_3-2-0_096079_2021-05-28_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-05 10:45:04	ga_ls7e_ard_3-2-0_113075_2021-06-05_final
2021-06-12 09:11:00	ga_ls7e_ard_3-2-0_098073_2021-06-11_final
2021-06-21 09:05:17	ga_ls7e_ard_3-2-0_097076_2021-06-20_final
2021-06-25 08:42:37	ga_ls7e_ard_3-2-0_093082_2021-06-24_final
2021-07-01 09:40:20	ga_ls7e_ard_3-2-0_103073_2021-07-01_final
2021-07-01 09:42:43	ga_ls7e_ard_3-2-0_103079_2021-07-01_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-07-07 10:44:25	ga_ls7e_ard_3-2-0_113080_2021-07-07_final
2021-07-17 09:40:58	ga_ls7e_ard_3-2-0_103078_2021-07-17_final
2021-07-27 08:39:06	ga_ls7e_ard_3-2-0_093080_2021-07-26_final
2021-08-08 09:01:10	ga_ls7e_ard_3-2-0_097076_2021-08-07_final
2021-08-13 09:18:27	ga_ls7e_ard_3-2-0_100074_2021-08-12_final
2021-08-17 08:52:59	ga_ls7e_ard_3-2-0_096073_2021-08-16_final
2021-08-19 10:21:43	ga_ls7e_ard_3-2-0_110079_2021-08-19_final
2021-08-24 08:59:21	ga_ls7e_ard_3-2-0_097075_2021-08-23_final
2021-08-26 10:26:54	ga_ls7e_ard_3-2-0_111078_2021-08-26_final
2021-09-03 09:35:10	ga_ls7e_ard_3-2-0_103074_2021-09-03_final
2021-09-06 10:08:36	ga_ls7e_ard_3-2-0_108081_2021-09-06_final
2021-09-11 08:47:50	ga_ls7e_ard_3-2-0_095081_2021-09-10_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-10-03 09:43:17	ga_ls7e_ard_3-2-0_105070_2021-10-03_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-08 10:03:46	ga_ls7e_ard_3-2-0_108076_2021-10-08_final
2021-10-11 10:34:24	ga_ls7e_ard_3-2-0_113076_2021-10-11_final
2021-10-15 10:12:07	ga_ls7e_ard_3-2-0_109083_2021-10-15_final
2021-10-19 09:43:03	ga_ls7e_ard_3-2-0_105073_2021-10-19_final
2021-10-23 09:19:10	ga_ls7e_ard_3-2-0_101076_2021-10-22_final
2021-10-31 08:30:59	ga_ls7e_ard_3-2-0_093081_2021-10-30_final
2021-11-13 09:34:32	ga_ls7e_ard_3-2-1_104073_2021-11-13_final
2021-11-14 08:41:37	ga_ls7e_ard_3-2-1_095080_2021-11-13_final
2021-11-28 08:50:37	ga_ls7e_ard_3-2-1_097075_2021-11-27_final
2021-12-16 10:18:14	ga_ls7e_ard_3-2-1_111082_2021-12-16_final
2021-12-18 10:01:41	ga_ls7e_ard_3-2-1_109072_2021-12-18_final
2021-12-23 08:44:27	ga_ls7e_ard_3-2-1_096081_2021-12-22_final
2021-12-27 09:56:13	ga_ls7e_ard_3-2-1_108076_2021-12-27_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-02-04 08:20:07	ga_ls7e_ard_3-2-1_093077_2022-02-03_final
2022-02-04 08:22:06	ga_ls7e_ard_3-2-1_093082_2022-02-03_final
2022-02-04 10:00:35	ga_ls7e_ard_3-2-1_109081_2022-02-04_final
2022-02-05 09:02:04	ga_ls7e_ard_3-2-1_100074_2022-02-04_final
2022-02-11 10:02:51	ga_ls7e_ard_3-2-1_110073_2022-02-11_final
2022-02-22 09:45:13	ga_ls7e_ard_3-2-1_107078_2022-02-22_final
2022-02-22 09:46:49	ga_ls7e_ard_3-2-1_107082_2022-02-22_final
2022-02-26 09:16:56	ga_ls7e_ard_3-2-1_103070_2022-02-25_final
2022-03-04 08:44:27	ga_ls7e_ard_3-2-1_097083_2022-03-03_final
2022-03-04 10:21:20	ga_ls7e_ard_3-2-1_113078_2022-03-04_final
2022-03-06 08:28:42	ga_ls7e_ard_3-2-1_095075_2022-03-05_final
2022-03-09 09:01:18	ga_ls7e_ard_3-2-1_100080_2022-03-08_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