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
2001-05-27 11:41:01	ga_ls7e_ard_3-0-0_115075_2001-05-27_final
2002-03-04 11:33:34	ga_ls7e_ard_3-0-0_114074_2002-03-04_final
2003-05-10 11:33:46	ga_ls7e_ard_3-0-0_114075_2003-05-10_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2005-03-03 11:41:41	ga_ls7e_ard_3-1-0_115077_2005-03-03_final
2005-05-22 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-05-22_final
2005-07-02 11:34:26	ga_ls7e_ard_3-0-0_114075_2005-07-02_final
2005-12-09 11:35:02	ga_ls7e_ard_3-0-0_114076_2005-12-09_final
2006-02-18 11:40:53	ga_ls7e_ard_3-0-0_115074_2006-02-18_final
2006-06-03 11:36:40	ga_ls7e_ard_3-0-0_114079_2006-06-03_final
2006-10-09 11:35:11	ga_ls7e_ard_3-0-0_114077_2006-10-09_final
2008-02-10 11:32:44	ga_ls7e_ard_3-0-0_113084_2008-02-10_final
2008-10-21 11:39:59	ga_ls7e_ard_3-0-0_115075_2008-10-21_final
2008-10-30 11:35:32	ga_ls7e_ard_3-0-0_114079_2008-10-30_final
2008-12-24 11:40:46	ga_ls7e_ard_3-0-0_115075_2008-12-24_final
2009-09-22 11:41:45	ga_ls7e_ard_3-0-0_115076_2009-09-22_final
2009-11-18 11:36:04	ga_ls7e_ard_3-0-0_114076_2009-11-18_final
2010-04-18 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-18_final
2010-05-04 11:43:23	ga_ls7e_ard_3-0-0_115075_2010-05-04_final
2010-07-07 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-07-07_final
2010-09-18 11:37:19	ga_ls7e_ard_3-0-0_114075_2010-09-18_final
2011-04-05 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-04-05_final
2011-05-23 11:45:11	ga_ls7e_ard_3-0-0_115076_2011-05-23_final
2011-09-30 11:35:17	ga_ls7e_ard_3-0-0_113083_2011-09-30_final
2012-04-23 11:46:14	ga_ls7e_ard_3-1-0_115077_2012-04-23_final
2012-06-28 11:36:09	ga_ls7e_ard_3-0-0_113082_2012-06-28_final
2012-08-06 11:40:27	ga_ls7e_ard_3-0-0_114076_2012-08-06_final
2012-09-23 11:41:44	ga_ls7e_ard_3-0-0_114078_2012-09-23_final
2013-04-03 11:40:40	ga_ls7e_ard_3-0-0_114074_2013-04-03_final
2013-12-24 11:38:25	ga_ls7e_ard_3-0-0_113083_2013-12-24_final
2015-07-30 11:45:35	ga_ls7e_ard_3-0-0_114077_2015-07-30_final
2015-09-16 11:45:45	ga_ls7e_ard_3-0-0_114077_2015-09-16_final
2016-05-13 11:47:25	ga_ls7e_ard_3-0-0_114075_2016-05-13_final
2016-05-13 11:48:37	ga_ls7e_ard_3-0-0_114078_2016-05-13_final
2017-01-08 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-01-08_final
2017-07-26 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-07-26_final
2017-08-20 11:47:38	ga_ls7e_ard_3-0-0_114075_2017-08-20_final
2019-04-04 11:37:18	ga_ls7e_ard_3-0-0_114075_2019-04-04_final
2019-04-04 11:38:06	ga_ls7e_ard_3-0-0_114077_2019-04-04_final
2019-05-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2019-05-22_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2020-07-02 11:23:04	ga_ls7e_ard_3-1-0_115078_2020-07-02_final
2020-11-21 09:45:22	ga_ls7e_ard_3-1-0_101073_2020-11-21_final
2020-12-08 10:30:35	ga_ls7e_ard_3-1-0_108081_2020-12-08_final
2021-01-06 09:54:23	ga_ls7e_ard_3-1-0_103073_2021-01-06_final
2021-01-16 08:55:04	ga_ls7e_ard_3-1-0_093081_2021-01-15_final
2021-01-21 10:52:32	ga_ls7e_ard_3-2-0_112082_2021-01-21_final
2021-01-26 11:08:19	ga_ls7e_ard_3-2-0_115076_2021-01-26_final
2021-01-30 10:46:06	ga_ls7e_ard_3-2-0_111083_2021-01-30_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-03-26 09:05:58	ga_ls7e_ard_3-2-0_096075_2021-03-25_final
2021-04-01 10:06:05	ga_ls7e_ard_3-2-0_106072_2021-04-01_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-04-09 09:17:58	ga_ls7e_ard_3-2-0_098077_2021-04-08_final
2021-04-11 09:04:15	ga_ls7e_ard_3-2-0_096074_2021-04-10_final
2021-04-15 08:42:23	ga_ls7e_ard_3-2-0_092082_2021-04-14_final
2021-04-17 10:04:45	ga_ls7e_ard_3-2-0_106072_2021-04-17_final
2021-04-24 10:13:31	ga_ls7e_ard_3-2-0_107080_2021-04-24_final
2021-05-02 09:23:25	ga_ls7e_ard_3-2-0_099080_2021-05-01_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-06-04 08:26:12	ga_ls7e_ard_3-2-0_090083_2021-06-03_final
2021-07-10 09:31:24	ga_ls7e_ard_3-2-0_102068_2021-07-10_final
2021-07-14 10:48:24	ga_ls7e_ard_3-2-0_114076_2021-07-14_final
2021-07-16 08:58:35	ga_ls7e_ard_3-2-0_096080_2021-07-15_final
2021-07-20 08:33:32	ga_ls7e_ard_3-2-0_092080_2021-07-19_final
2021-07-26 09:31:13	ga_ls7e_ard_3-2-0_102071_2021-07-26_final
2021-07-29 10:03:51	ga_ls7e_ard_3-2-0_107076_2021-07-29_final
2021-07-29 10:06:38	ga_ls7e_ard_3-2-0_107083_2021-07-29_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-15 09:07:55	ga_ls7e_ard_3-2-0_098079_2021-08-14_final
2021-08-16 08:13:00	ga_ls7e_ard_3-2-0_089081_2021-08-15_final
2021-08-20 09:25:37	ga_ls7e_ard_3-2-0_101078_2021-08-19_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-08-26 08:50:25	ga_ls7e_ard_3-2-0_095084_2021-08-25_final
2021-09-14 09:17:40	ga_ls7e_ard_3-2-0_100079_2021-09-13_final
2021-09-15 08:23:09	ga_ls7e_ard_3-2-0_091082_2021-09-14_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-09-27 10:19:41	ga_ls7e_ard_3-2-0_111067_2021-09-27_final
2021-10-17 08:19:55	ga_ls7e_ard_3-2-0_091081_2021-10-16_final
2021-10-24 10:01:08	ga_ls7e_ard_3-2-0_108073_2021-10-24_final
2021-10-29 10:20:25	ga_ls7e_ard_3-2-0_111076_2021-10-29_final
2021-12-07 10:24:52	ga_ls7e_ard_3-2-1_112081_2021-12-07_final
2021-12-20 08:13:51	ga_ls7e_ard_3-2-1_091081_2021-12-19_final
2021-12-22 09:36:35	ga_ls7e_ard_3-2-1_105072_2021-12-22_final
2022-01-01 10:17:03	ga_ls7e_ard_3-2-1_111083_2022-01-01_final
2022-01-08 10:20:09	ga_ls7e_ard_3-2-1_112077_2022-01-08_final
2022-01-12 09:55:51	ga_ls7e_ard_3-2-1_108079_2022-01-12_final
2022-01-19 10:02:34	ga_ls7e_ard_3-2-1_109082_2022-01-19_final
2022-01-25 09:19:43	ga_ls7e_ard_3-2-1_103069_2022-01-24_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_final
2022-02-06 08:07:57	ga_ls7e_ard_3-2-1_091078_2022-02-05_final
2022-03-01 09:51:56	ga_ls7e_ard_3-2-1_108081_2022-03-01_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-10 09:40:28	ga_ls7e_ard_3-2-1_107070_2022-03-10_final
2022-03-12 07:53:25	ga_ls7e_ard_3-2-1_089081_2022-03-11_final
2022-03-13 08:32:35	ga_ls7e_ard_3-2-1_096071_2022-03-12_final
2022-03-19 07:59:17	ga_ls7e_ard_3-2-1_090082_2022-03-18_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_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