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
1999-10-31 11:35:19	ga_ls7e_ard_3-0-0_113084_1999-10-31_final
1999-12-09 11:39:08	ga_ls7e_ard_3-0-0_114078_1999-12-09_final
1999-12-16 11:44:34	ga_ls7e_ard_3-0-0_115076_1999-12-16_final
1999-12-25 11:39:52	ga_ls7e_ard_3-0-0_114080_1999-12-25_final
2000-01-10 11:39:28	ga_ls7e_ard_3-0-0_114079_2000-01-10_final
2000-02-27 11:38:28	ga_ls7e_ard_3-0-0_114077_2000-02-27_final
2000-03-30 11:37:57	ga_ls7e_ard_3-1-0_114076_2000-03-30_final
2000-07-20 11:36:01	ga_ls7e_ard_3-0-0_114074_2000-07-20_final
2000-10-01 11:32:53	ga_ls7e_ard_3-0-0_113084_2000-10-01_final
2001-02-13 11:35:03	ga_ls7e_ard_3-0-0_114074_2001-02-13_final
2001-06-21 11:35:18	ga_ls7e_ard_3-0-0_114077_2001-06-21_final
2001-08-24 11:35:48	ga_ls7e_ard_3-0-0_114080_2001-08-24_final
2001-09-25 11:35:04	ga_ls7e_ard_3-0-0_114079_2001-09-25_final
2001-11-12 11:33:30	ga_ls7e_ard_3-0-0_114075_2001-11-12_final
2002-01-31 11:34:13	ga_ls7e_ard_3-0-0_114076_2002-01-31_final
2002-04-28 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-28_final
2002-06-08 11:35:12	ga_ls7e_ard_3-0-0_114079_2002-06-08_final
2002-06-08 11:35:36	ga_ls7e_ard_3-0-0_114080_2002-06-08_final
2002-08-27 11:33:48	ga_ls7e_ard_3-0-0_114077_2002-08-27_final
2002-10-21 11:38:35	ga_ls7e_ard_3-0-0_115074_2002-10-21_final
2003-02-26 11:41:27	ga_ls7e_ard_3-0-0_115079_2003-02-26_final
2003-03-30 11:41:30	ga_ls7e_ard_3-0-0_115079_2003-03-30_final
2003-04-24 11:34:57	ga_ls7e_ard_3-0-0_114078_2003-04-24_final
2003-05-26 11:34:31	ga_ls7e_ard_3-0-0_114077_2003-05-26_final
2004-10-19 11:34:30	ga_ls7e_ard_3-0-0_114077_2004-10-19_final
2010-04-27 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-04-27_final
2010-09-02 11:34:07	ga_ls7e_ard_3-0-0_114067_2010-09-02_final
2011-06-17 11:39:00	ga_ls7e_ard_3-0-0_114076_2011-06-17_final
2011-09-21 11:38:41	ga_ls7e_ard_3-0-0_114076_2011-09-21_final
2012-06-03 11:39:48	ga_ls7e_ard_3-0-0_114076_2012-06-03_final
2014-06-25 11:44:05	ga_ls7e_ard_3-0-0_114079_2014-06-25_final
2014-07-27 11:43:02	ga_ls7e_ard_3-0-0_114076_2014-07-27_final
2014-09-13 11:39:28	ga_ls7e_ard_3-0-0_114067_2014-09-13_final
2016-05-29 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-05-29_final
2017-09-21 11:48:00	ga_ls7e_ard_3-0-0_114076_2017-09-21_final
2018-07-22 11:44:26	ga_ls7e_ard_3-0-0_114076_2018-07-22_final
2020-11-24 10:19:15	ga_ls7e_ard_3-1-0_106081_2020-11-24_final
2020-12-04 09:14:43	ga_ls7e_ard_3-1-0_096076_2020-12-03_final
2020-12-13 09:09:04	ga_ls7e_ard_3-1-0_095079_2020-12-12_final
2020-12-20 09:13:07	ga_ls7e_ard_3-1-0_096075_2020-12-19_final
2020-12-24 10:27:22	ga_ls7e_ard_3-1-0_108076_2020-12-24_final
2021-01-17 09:37:28	ga_ls7e_ard_3-1-0_100079_2021-01-17_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-01-27 10:14:13	ga_ls7e_ard_3-2-0_106080_2021-01-27_final
2021-02-08 08:58:23	ga_ls7e_ard_3-2-0_094078_2021-02-07_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-17 09:12:52	ga_ls7e_ard_3-2-0_097075_2021-03-16_final
2021-03-18 09:58:03	ga_ls7e_ard_3-2-0_104080_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-04-02 09:11:34	ga_ls7e_ard_3-2-0_097075_2021-04-01_final
2021-04-11 09:05:27	ga_ls7e_ard_3-2-0_096077_2021-04-10_final
2021-04-12 09:47:49	ga_ls7e_ard_3-2-0_103075_2021-04-12_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-05-23 09:40:35	ga_ls7e_ard_3-2-0_102081_2021-05-23_final
2021-06-06 09:51:21	ga_ls7e_ard_3-2-0_104080_2021-06-06_final
2021-06-14 09:00:04	ga_ls7e_ard_3-2-0_096077_2021-06-13_final
2021-06-23 10:32:26	ga_ls7e_ard_3-2-0_111078_2021-06-23_final
2021-06-27 10:07:23	ga_ls7e_ard_3-2-0_107078_2021-06-27_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-09 08:51:49	ga_ls7e_ard_3-2-0_095077_2021-07-08_final
2021-07-09 08:52:13	ga_ls7e_ard_3-2-0_095078_2021-07-08_final
2021-08-04 09:27:26	ga_ls7e_ard_3-2-0_101079_2021-08-03_final
2021-08-05 10:10:12	ga_ls7e_ard_3-2-0_108078_2021-08-05_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-17 08:54:11	ga_ls7e_ard_3-2-0_096076_2021-08-16_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-08-21 10:08:23	ga_ls7e_ard_3-2-0_108077_2021-08-21_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-09-02 10:34:52	ga_ls7e_ard_3-2-0_112084_2021-09-02_final
2021-09-04 08:40:40	ga_ls7e_ard_3-2-0_094077_2021-09-03_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-10 09:42:44	ga_ls7e_ard_3-2-0_104079_2021-09-10_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-22 10:05:59	ga_ls7e_ard_3-2-0_108078_2021-09-22_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-26 09:39:42	ga_ls7e_ard_3-2-0_104075_2021-09-26_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-13 10:18:41	ga_ls7e_ard_3-2-0_111068_2021-10-13_final
2021-10-16 09:15:37	ga_ls7e_ard_3-2-0_100081_2021-10-15_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-12-17 09:21:43	ga_ls7e_ard_3-2-1_102080_2021-12-16_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-02-04 08:20:55	ga_ls7e_ard_3-2-1_093079_2022-02-03_final
2022-02-04 10:00:35	ga_ls7e_ard_3-2-1_109081_2022-02-04_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_final
2022-03-12 09:31:06	ga_ls7e_ard_3-2-1_105078_2022-03-12_final
2022-03-13 08:35:23	ga_ls7e_ard_3-2-1_096078_2022-03-12_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_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