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
1999-11-07 11:38:44	ga_ls7e_ard_3-0-0_114077_1999-11-07_final
2000-01-01 11:44:48	ga_ls7e_ard_3-0-0_115077_2000-01-01_final
2000-08-12 11:43:05	ga_ls7e_ard_3-1-0_115077_2000-08-12_final
2000-09-24 11:26:18	ga_ls7e_ard_3-0-0_112083_2000-09-24_final
2000-11-02 11:26:01	ga_ls7e_ard_3-1-0_113067_2000-11-02_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2001-06-05 11:35:29	ga_ls7e_ard_3-0-0_114077_2001-06-05_final
2001-06-14 11:28:02	ga_ls7e_ard_3-0-0_113074_2001-06-14_final
2001-08-31 11:40:42	ga_ls7e_ard_3-1-0_115077_2001-08-31_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-03-11 11:40:55	ga_ls7e_ard_3-1-0_115077_2002-03-11_final
2002-05-16 11:24:22	ga_ls7e_ard_3-0-0_113067_2002-05-16_final
2002-07-19 11:30:21	ga_ls7e_ard_3-0-0_113083_2002-07-19_final
2002-10-30 11:33:36	ga_ls7e_ard_3-0-0_114077_2002-10-30_final
2003-05-19 11:24:20	ga_ls7e_ard_3-0-0_113067_2003-05-19_final
2003-07-29 11:30:18	ga_ls7e_ard_3-0-0_114067_2003-07-29_final
2003-11-18 11:30:27	ga_ls7e_ard_3-0-0_114067_2003-11-18_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-08-16 11:34:37	ga_ls7e_ard_3-0-0_114077_2004-08-16_final
2005-01-16 11:31:02	ga_ls7e_ard_3-0-0_113082_2005-01-16_final
2005-06-07 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-06-07_final
2006-01-19 11:29:57	ga_ls7e_ard_3-0-0_113078_2006-01-19_final
2006-09-16 11:25:11	ga_ls7e_ard_3-0-0_113067_2006-09-16_final
2006-12-19 11:42:11	ga_ls7e_ard_3-1-0_115077_2006-12-19_final
2007-03-09 11:42:31	ga_ls7e_ard_3-1-0_115077_2007-03-09_final
2007-07-01 11:25:54	ga_ls7e_ard_3-0-0_113067_2007-07-01_final
2008-01-23 11:41:33	ga_ls7e_ard_3-0-0_115075_2008-01-23_final
2008-02-10 11:28:45	ga_ls7e_ard_3-0-0_113074_2008-02-10_final
2008-04-30 11:25:44	ga_ls7e_ard_3-0-0_113067_2008-04-30_final
2008-07-03 11:25:12	ga_ls7e_ard_3-0-0_113067_2008-07-03_final
2009-04-17 11:28:48	ga_ls7e_ard_3-0-0_113074_2009-04-17_final
2009-05-01 11:42:24	ga_ls7e_ard_3-1-0_115077_2009-05-01_final
2009-11-18 11:32:29	ga_ls7e_ard_3-0-0_114067_2009-11-18_final
2010-05-29 11:33:58	ga_ls7e_ard_3-0-0_114067_2010-05-29_final
2011-08-22 11:29:39	ga_ls7e_ard_3-0-0_112084_2011-08-22_final
2014-06-09 11:42:26	ga_ls7e_ard_3-0-0_114075_2014-06-09_final
2015-05-04 11:40:58	ga_ls7e_ard_3-0-0_113082_2015-05-04_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2015-10-18 11:46:53	ga_ls7e_ard_3-0-0_114079_2015-10-18_final
2016-01-08 11:37:23	ga_ls7e_ard_3-0-0_112083_2016-01-08_final
2016-03-03 11:37:38	ga_ls7e_ard_3-0-0_113067_2016-03-03_final
2016-12-07 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-12-07_final
2017-01-15 11:53:21	ga_ls7e_ard_3-0-0_115075_2017-01-15_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-10-14 11:53:26	ga_ls7e_ard_3-0-0_115074_2017-10-14_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2020-07-20 11:05:13	ga_ls7e_ard_3-1-0_113067_2020-07-20_final
2020-07-29 11:04:28	ga_ls7e_ard_3-1-0_112082_2020-07-29_final
2020-08-12 11:14:21	ga_ls7e_ard_3-1-0_114078_2020-08-12_final
2020-10-15 11:05:49	ga_ls7e_ard_3-1-0_114067_2020-10-15_final
2020-12-02 09:25:38	ga_ls7e_ard_3-1-0_098072_2020-12-01_final
2021-01-07 10:37:58	ga_ls7e_ard_3-1-0_110074_2021-01-07_final
2021-01-15 09:50:22	ga_ls7e_ard_3-1-0_102080_2021-01-15_final
2021-01-19 09:22:10	ga_ls7e_ard_3-1-0_098072_2021-01-18_final
2021-01-29 09:59:19	ga_ls7e_ard_3-2-0_104074_2021-01-29_final
2021-01-30 09:07:37	ga_ls7e_ard_3-2-0_095084_2021-01-29_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-03-01 09:17:43	ga_ls7e_ard_3-2-0_097084_2021-02-28_final
2021-03-21 08:49:26	ga_ls7e_ard_3-2-0_093079_2021-03-20_final
2021-03-25 10:00:28	ga_ls7e_ard_3-2-0_105072_2021-03-25_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-05-06 08:59:33	ga_ls7e_ard_3-2-0_095083_2021-05-05_final
2021-05-17 08:40:53	ga_ls7e_ard_3-2-0_092085_2021-05-16_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-23 10:30:50	ga_ls7e_ard_3-2-0_111074_2021-06-23_final
2021-06-28 10:50:09	ga_ls7e_ard_3-2-0_114077_2021-06-28_final
2021-07-06 08:21:10	ga_ls7e_ard_3-2-0_090077_2021-07-05_final
2021-07-16 08:55:48	ga_ls7e_ard_3-2-0_096073_2021-07-15_final
2021-07-16 09:00:11	ga_ls7e_ard_3-2-0_096084_2021-07-15_final
2021-08-11 09:31:00	ga_ls7e_ard_3-2-0_102074_2021-08-11_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-08-19 08:45:14	ga_ls7e_ard_3-2-0_094085_2021-08-18_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-09-13 08:36:29	ga_ls7e_ard_3-2-0_093084_2021-09-12_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-20 08:46:09	ga_ls7e_ard_3-2-0_096070_2021-10-19_final
2021-11-06 09:28:38	ga_ls7e_ard_3-2-0_103072_2021-11-05_final
2021-11-14 08:42:24	ga_ls7e_ard_3-2-1_095082_2021-11-13_final
2021-11-16 10:05:56	ga_ls7e_ard_3-2-1_109075_2021-11-16_final
2021-11-25 09:58:29	ga_ls7e_ard_3-2-1_108074_2021-11-25_final
2021-12-11 08:22:54	ga_ls7e_ard_3-2-1_092086_2021-12-10_final
2021-12-29 08:08:22	ga_ls7e_ard_3-2-1_090085_2021-12-28_final
2022-01-11 09:11:05	ga_ls7e_ard_3-2-1_101075_2022-01-10_final
2022-01-13 08:55:45	ga_ls7e_ard_3-2-1_099068_2022-01-12_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-02-02 08:32:17	ga_ls7e_ard_3-2-1_095076_2022-02-01_final
2022-02-11 10:03:39	ga_ls7e_ard_3-2-1_110075_2022-02-11_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_final
2022-03-15 08:20:49	ga_ls7e_ard_3-2-1_094073_2022-03-14_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-21 09:22:26	ga_ls7e_ard_3-2-1_104074_2022-03-20_final
2022-03-24 09:51:51	ga_ls7e_ard_3-2-1_109071_2022-03-24_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_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