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
1999-09-18 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-09-18_final
1999-11-05 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-11-05_final
2000-12-18 11:42:25	ga_ls7e_ard_3-0-0_115077_2000-12-18_final
2001-09-16 11:40:30	ga_ls7e_ard_3-0-0_115077_2001-09-16_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2004-01-28 11:40:40	ga_ls7e_ard_3-0-0_115076_2004-01-28_final
2004-04-17 11:41:57	ga_ls7e_ard_3-0-0_115079_2004-04-17_final
2005-09-27 11:40:41	ga_ls7e_ard_3-0-0_115076_2005-09-27_final
2006-09-14 11:41:33	ga_ls7e_ard_3-0-0_115077_2006-09-14_final
2007-03-25 11:43:20	ga_ls7e_ard_3-0-0_115079_2007-03-25_final
2008-12-08 11:41:25	ga_ls7e_ard_3-1-0_115077_2008-12-08_final
2009-06-18 11:43:13	ga_ls7e_ard_3-0-0_115079_2009-06-18_final
2011-03-20 11:45:57	ga_ls7e_ard_3-0-0_115078_2011-03-20_final
2014-04-13 11:49:27	ga_ls7e_ard_3-0-0_115078_2014-04-13_final
2015-03-15 11:50:57	ga_ls7e_ard_3-1-0_115077_2015-03-15_final
2015-05-02 11:51:43	ga_ls7e_ard_3-0-0_115078_2015-05-02_final
2016-05-20 11:54:49	ga_ls7e_ard_3-0-0_115078_2016-05-20_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2017-03-20 11:53:24	ga_ls7e_ard_3-0-0_115075_2017-03-20_final
2017-05-07 11:54:52	ga_ls7e_ard_3-0-0_115078_2017-05-07_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2019-08-17 11:38:44	ga_ls7e_ard_3-0-0_115076_2019-08-17_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2021-01-06 09:52:47	ga_ls7e_ard_3-1-0_103069_2021-01-06_final
2021-01-12 10:56:34	ga_ls7e_ard_3-1-0_113075_2021-01-12_final
2021-01-19 09:24:34	ga_ls7e_ard_3-1-0_098078_2021-01-18_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-01-26 09:31:26	ga_ls7e_ard_3-2-0_099081_2021-01-26_final
2021-02-03 10:21:29	ga_ls7e_ard_3-2-0_107084_2021-02-03_final
2021-02-14 09:59:20	ga_ls7e_ard_3-2-0_104077_2021-02-14_final
2021-02-16 09:43:14	ga_ls7e_ard_3-2-0_102068_2021-02-16_final
2021-02-17 10:30:24	ga_ls7e_ard_3-2-0_109078_2021-02-17_final
2021-02-19 08:41:24	ga_ls7e_ard_3-2-0_091084_2021-02-18_final
2021-02-24 09:00:22	ga_ls7e_ard_3-2-0_094086_2021-02-23_final
2021-03-19 09:02:45	ga_ls7e_ard_3-2-0_095081_2021-03-18_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-03-24 09:19:17	ga_ls7e_ard_3-2-0_098077_2021-03-23_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-16 11:01:15	ga_ls7e_ard_3-2-0_115074_2021-04-16_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-05-08 10:21:07	ga_ls7e_ard_3-2-0_109071_2021-05-08_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-27 09:11:32	ga_ls7e_ard_3-2-0_098071_2021-05-26_final
2021-05-29 08:59:00	ga_ls7e_ard_3-2-0_096071_2021-05-28_final
2021-05-30 09:40:58	ga_ls7e_ard_3-2-0_103068_2021-05-30_final
2021-06-01 09:29:38	ga_ls7e_ard_3-2-0_101071_2021-05-31_final
2021-06-01 09:30:50	ga_ls7e_ard_3-2-0_101074_2021-06-01_final
2021-06-05 10:47:51	ga_ls7e_ard_3-2-0_113082_2021-06-05_final
2021-06-23 10:34:02	ga_ls7e_ard_3-2-0_111082_2021-06-23_final
2021-06-28 09:11:17	ga_ls7e_ard_3-2-0_098077_2021-06-27_final
2021-07-02 08:45:02	ga_ls7e_ard_3-2-0_094074_2021-07-01_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-07 10:45:13	ga_ls7e_ard_3-2-0_113082_2021-07-07_final
2021-07-13 08:28:21	ga_ls7e_ard_3-2-0_091081_2021-07-12_final
2021-07-18 10:25:44	ga_ls7e_ard_3-2-0_110082_2021-07-18_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-31 09:03:44	ga_ls7e_ard_3-2-0_098072_2021-08-30_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-10-01 09:55:49	ga_ls7e_ard_3-2-0_107070_2021-10-01_final
2021-10-02 09:02:54	ga_ls7e_ard_3-2-0_098077_2021-10-01_final
2021-10-11 10:30:49	ga_ls7e_ard_3-2-0_113067_2021-10-11_final
2021-10-15 10:12:31	ga_ls7e_ard_3-2-0_109084_2021-10-15_final
2021-10-18 08:58:17	ga_ls7e_ard_3-2-0_098069_2021-10-17_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-11 09:48:17	ga_ls7e_ard_3-2-0_106076_2021-11-11_final
2021-11-16 10:09:32	ga_ls7e_ard_3-2-1_109084_2021-11-16_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-12-03 09:09:06	ga_ls7e_ard_3-2-1_100076_2021-12-02_final
2021-12-03 09:12:17	ga_ls7e_ard_3-2-1_100084_2021-12-02_final
2021-12-05 08:53:21	ga_ls7e_ard_3-2-1_098068_2021-12-04_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-30 10:28:48	ga_ls7e_ard_3-2-1_113081_2021-12-30_final
2022-01-08 08:39:16	ga_ls7e_ard_3-2-1_096072_2022-01-07_final
2022-01-12 09:52:39	ga_ls7e_ard_3-2-1_108071_2022-01-12_final
2022-01-26 10:05:40	ga_ls7e_ard_3-2-1_110076_2022-01-26_final
2022-01-31 08:44:02	ga_ls7e_ard_3-2-1_097074_2022-01-30_final
2022-02-04 08:24:06	ga_ls7e_ard_3-2-1_093087_2022-02-03_final
2022-02-08 07:56:35	ga_ls7e_ard_3-2-1_089081_2022-02-07_final
2022-02-09 10:19:25	ga_ls7e_ard_3-2-1_112083_2022-02-09_final
2022-02-15 09:36:55	ga_ls7e_ard_3-2-1_106071_2022-02-15_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-08 08:18:56	ga_ls7e_ard_3-2-1_093082_2022-03-07_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_final
2022-03-09 09:02:30	ga_ls7e_ard_3-2-1_100083_2022-03-08_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-24 09:53:03	ga_ls7e_ard_3-2-1_109074_2022-03-24_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_final
2022-04-02 09:46:25	ga_ls7e_ard_3-2-1_108075_2022-04-02_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_2022-04-03_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