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
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
1999-11-05 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-11-05_final
1999-12-25 11:40:16	ga_ls7e_ard_3-0-0_114081_1999-12-25_final
2001-03-01 11:37:44	ga_ls7e_ard_3-0-0_114081_2001-03-01_final
2001-04-27 11:32:07	ga_ls7e_ard_3-0-0_113083_2001-04-27_final
2001-05-13 11:30:22	ga_ls7e_ard_3-0-0_113079_2001-05-13_final
2001-06-14 11:30:02	ga_ls7e_ard_3-0-0_113079_2001-06-14_final
2001-06-14 11:30:50	ga_ls7e_ard_3-0-0_113081_2001-06-14_final
2001-08-17 11:29:16	ga_ls7e_ard_3-0-0_113079_2001-08-17_final
2001-09-25 11:33:29	ga_ls7e_ard_3-0-0_114075_2001-09-25_final
2001-10-20 11:29:32	ga_ls7e_ard_3-0-0_113081_2001-10-20_final
2001-11-05 11:28:50	ga_ls7e_ard_3-0-0_113079_2001-11-05_final
2001-12-30 11:34:02	ga_ls7e_ard_3-0-0_114076_2001-12-30_final
2002-01-29 11:47:22	ga_ls7e_ard_3-0-0_116078_2002-01-29_final
2002-08-11 11:35:36	ga_ls7e_ard_3-0-0_114081_2002-08-11_final
2002-09-05 11:28:26	ga_ls7e_ard_3-0-0_113079_2002-09-05_final
2002-09-12 11:33:20	ga_ls7e_ard_3-0-0_114076_2002-09-12_final
2002-10-21 11:40:35	ga_ls7e_ard_3-0-0_115079_2002-10-21_final
2002-12-17 11:35:40	ga_ls7e_ard_3-0-0_114081_2002-12-17_final
2003-02-19 11:34:06	ga_ls7e_ard_3-0-0_114076_2003-02-19_final
2003-05-26 11:36:07	ga_ls7e_ard_3-0-0_114081_2003-05-26_final
2004-03-25 11:36:42	ga_ls7e_ard_3-0-0_114081_2004-03-25_final
2005-05-31 11:34:59	ga_ls7e_ard_3-0-0_114076_2005-05-31_final
2010-03-03 11:32:30	ga_ls7e_ard_3-0-0_113079_2010-03-03_final
2010-08-10 11:32:39	ga_ls7e_ard_3-0-0_113079_2010-08-10_final
2011-09-21 11:38:41	ga_ls7e_ard_3-0-0_114076_2011-09-21_final
2012-05-11 11:35:07	ga_ls7e_ard_3-0-0_113079_2012-05-11_final
2012-06-28 11:36:57	ga_ls7e_ard_3-0-0_113084_2012-06-28_final
2013-09-10 11:42:13	ga_ls7e_ard_3-0-0_114079_2013-09-10_final
2014-07-18 11:49:32	ga_ls7e_ard_3-1-0_115077_2014-07-18_final
2016-08-26 11:43:06	ga_ls7e_ard_3-0-0_113079_2016-08-26_final
2016-10-13 11:43:12	ga_ls7e_ard_3-0-0_113079_2016-10-13_final
2017-09-21 11:48:00	ga_ls7e_ard_3-0-0_114076_2017-09-21_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-06-13 11:39:47	ga_ls7e_ard_3-0-0_113078_2018-06-13_final
2018-06-29 11:39:53	ga_ls7e_ard_3-0-0_113079_2018-06-29_final
2020-06-09 11:13:52	ga_ls7e_ard_3-1-0_114067_2020-06-09_final
2020-11-29 08:57:45	ga_ls7e_ard_3-1-0_093079_2020-11-28_final
2020-12-24 10:27:22	ga_ls7e_ard_3-1-0_108076_2020-12-24_final
2021-01-12 09:16:53	ga_ls7e_ard_3-1-0_097073_2021-01-11_final
2021-01-28 10:56:37	ga_ls7e_ard_3-2-0_113078_2021-01-28_final
2021-02-15 09:04:02	ga_ls7e_ard_3-2-0_095078_2021-02-14_final
2021-02-20 09:21:00	ga_ls7e_ard_3-2-0_098075_2021-02-19_final
2021-02-21 10:02:59	ga_ls7e_ard_3-2-0_105072_2021-02-21_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-05 08:51:53	ga_ls7e_ard_3-2-0_093082_2021-03-04_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-19 10:40:49	ga_ls7e_ard_3-2-0_111079_2021-03-19_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-04-11 09:06:15	ga_ls7e_ard_3-2-0_096079_2021-04-10_final
2021-04-19 09:52:13	ga_ls7e_ard_3-2-0_104072_2021-04-19_final
2021-04-21 09:39:41	ga_ls7e_ard_3-2-0_102072_2021-04-21_final
2021-04-22 10:26:03	ga_ls7e_ard_3-2-0_109080_2021-04-22_final
2021-05-04 10:47:46	ga_ls7e_ard_3-2-0_113075_2021-05-04_final
2021-05-11 09:14:05	ga_ls7e_ard_3-2-0_098074_2021-05-10_final
2021-05-13 10:42:26	ga_ls7e_ard_3-2-0_112079_2021-05-13_final
2021-05-15 08:50:38	ga_ls7e_ard_3-2-0_094078_2021-05-14_final
2021-05-31 08:49:39	ga_ls7e_ard_3-2-0_094079_2021-05-30_final
2021-06-07 08:54:04	ga_ls7e_ard_3-2-0_095076_2021-06-06_final
2021-06-14 10:38:09	ga_ls7e_ard_3-2-0_112075_2021-06-14_final
2021-06-23 10:32:02	ga_ls7e_ard_3-2-0_111077_2021-06-23_final
2021-06-30 10:38:26	ga_ls7e_ard_3-2-0_112079_2021-06-30_final
2021-07-09 08:52:37	ga_ls7e_ard_3-2-0_095079_2021-07-08_final
2021-07-09 08:53:00	ga_ls7e_ard_3-2-0_095080_2021-07-08_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-07-18 08:44:52	ga_ls7e_ard_3-2-0_094077_2021-07-17_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-30 09:06:56	ga_ls7e_ard_3-2-0_098073_2021-07-29_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-20 09:26:01	ga_ls7e_ard_3-2-0_101079_2021-08-19_final
2021-08-20 09:26:25	ga_ls7e_ard_3-2-0_101080_2021-08-19_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-08-26 08:47:14	ga_ls7e_ard_3-2-0_095076_2021-08-25_final
2021-08-28 10:14:46	ga_ls7e_ard_3-2-0_109079_2021-08-28_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-18 08:53:23	ga_ls7e_ard_3-2-0_096081_2021-09-17_final
2021-09-21 09:23:37	ga_ls7e_ard_3-2-0_101080_2021-09-20_final
2021-09-29 10:12:20	ga_ls7e_ard_3-2-0_109080_2021-09-29_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-13 10:23:28	ga_ls7e_ard_3-2-0_111080_2021-10-13_final
2021-10-21 09:32:55	ga_ls7e_ard_3-2-0_103079_2021-10-21_final
2021-10-22 08:36:24	ga_ls7e_ard_3-2-0_094077_2021-10-21_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-11-15 09:23:58	ga_ls7e_ard_3-2-1_102078_2021-11-14_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2021-12-25 08:30:42	ga_ls7e_ard_3-2-1_094078_2021-12-24_final
2022-01-02 09:19:20	ga_ls7e_ard_3-2-1_102078_2022-01-01_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-19 09:15:00	ga_ls7e_ard_3-2-1_102079_2022-02-18_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_final
2022-03-11 08:49:08	ga_ls7e_ard_3-2-1_098081_2022-03-10_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_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