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
2000-02-02 11:45:11	ga_ls7e_ard_3-0-0_115078_2000-02-02_final
2001-08-31 11:39:54	ga_ls7e_ard_3-0-0_115075_2001-08-31_final
2001-12-21 11:41:05	ga_ls7e_ard_3-0-0_115078_2001-12-21_final
2002-01-06 11:39:30	ga_ls7e_ard_3-0-0_115074_2002-01-06_final
2002-01-22 11:41:16	ga_ls7e_ard_3-0-0_115078_2002-01-22_final
2002-07-17 11:39:33	ga_ls7e_ard_3-0-0_115075_2002-07-17_final
2003-05-01 11:41:10	ga_ls7e_ard_3-0-0_115078_2003-05-01_final
2004-06-20 11:40:13	ga_ls7e_ard_3-0-0_115075_2004-06-20_final
2004-08-23 11:39:35	ga_ls7e_ard_3-0-0_115074_2004-08-23_final
2004-10-10 11:41:18	ga_ls7e_ard_3-0-0_115079_2004-10-10_final
2004-12-29 11:41:20	ga_ls7e_ard_3-1-0_115077_2004-12-29_final
2005-05-06 11:40:49	ga_ls7e_ard_3-0-0_115075_2005-05-06_final
2005-08-26 11:41:39	ga_ls7e_ard_3-0-0_115078_2005-08-26_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-03-25 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-03-25_final
2007-04-10 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-04-10_final
2007-05-28 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-05-28_final
2007-11-04 11:42:49	ga_ls7e_ard_3-0-0_115079_2007-11-04_final
2007-12-06 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-12-06_final
2008-10-21 11:41:11	ga_ls7e_ard_3-0-0_115078_2008-10-21_final
2009-06-18 11:42:49	ga_ls7e_ard_3-0-0_115078_2009-06-18_final
2010-01-12 11:43:52	ga_ls7e_ard_3-0-0_115078_2010-01-12_final
2012-10-16 11:48:32	ga_ls7e_ard_3-0-0_115079_2012-10-16_final
2013-02-21 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-02-21_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-12-05 11:48:01	ga_ls7e_ard_3-0-0_114080_2015-12-05_final
2017-01-31 11:53:37	ga_ls7e_ard_3-0-0_115076_2017-01-31_final
2017-02-16 11:52:46	ga_ls7e_ard_3-0-0_115074_2017-02-16_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-09-12 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-12_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2020-02-09 11:30:08	ga_ls7e_ard_3-1-0_115075_2020-02-09_final
2020-12-01 10:20:32	ga_ls7e_ard_3-1-0_107070_2020-12-01_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-04 09:11:08	ga_ls7e_ard_3-1-0_096067_2020-12-03_final
2020-12-13 10:46:21	ga_ls7e_ard_3-1-0_111075_2020-12-13_final
2020-12-14 09:49:03	ga_ls7e_ard_3-1-0_102071_2020-12-14_final
2020-12-18 11:06:54	ga_ls7e_ard_3-1-0_114081_2020-12-18_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-26 10:13:41	ga_ls7e_ard_3-1-0_106073_2020-12-26_final
2020-12-28 09:59:11	ga_ls7e_ard_3-1-0_104068_2020-12-28_final
2021-01-04 10:08:05	ga_ls7e_ard_3-1-0_105076_2021-01-04_final
2021-01-06 09:57:35	ga_ls7e_ard_3-1-0_103081_2021-01-06_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-12 10:59:45	ga_ls7e_ard_3-1-0_113083_2021-01-12_final
2021-01-14 09:04:23	ga_ls7e_ard_3-1-0_095073_2021-01-13_final
2021-02-05 10:05:23	ga_ls7e_ard_3-2-0_105075_2021-02-05_final
2021-03-11 09:49:14	ga_ls7e_ard_3-2-0_103072_2021-03-11_final
2021-03-17 09:10:52	ga_ls7e_ard_3-2-0_097070_2021-03-16_final
2021-03-19 08:59:09	ga_ls7e_ard_3-2-0_095072_2021-03-18_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-26 10:41:39	ga_ls7e_ard_3-2-0_112067_2021-03-26_final
2021-04-04 10:37:08	ga_ls7e_ard_3-2-0_111073_2021-04-04_final
2021-04-10 08:22:16	ga_ls7e_ard_3-2-0_089077_2021-04-09_final
2021-04-14 09:36:29	ga_ls7e_ard_3-2-0_101078_2021-04-14_final
2021-05-02 09:19:25	ga_ls7e_ard_3-2-0_099070_2021-05-01_final
2021-05-02 09:25:00	ga_ls7e_ard_3-2-0_099084_2021-05-01_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-20 10:43:14	ga_ls7e_ard_3-2-0_113067_2021-05-20_final
2021-05-23 09:35:48	ga_ls7e_ard_3-2-0_102069_2021-05-23_final
2021-05-27 09:17:07	ga_ls7e_ard_3-2-0_098085_2021-05-26_final
2021-05-30 09:42:34	ga_ls7e_ard_3-2-0_103072_2021-05-30_final
2021-06-03 09:22:18	ga_ls7e_ard_3-2-0_099084_2021-06-02_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-08-10 10:26:18	ga_ls7e_ard_3-2-0_111073_2021-08-10_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2021-09-14 09:19:39	ga_ls7e_ard_3-2-0_100084_2021-09-13_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-09 09:04:29	ga_ls7e_ard_3-2-0_099067_2021-10-08_final
2021-10-09 09:05:16	ga_ls7e_ard_3-2-0_099069_2021-10-08_final
2021-10-24 09:59:57	ga_ls7e_ard_3-2-0_108070_2021-10-24_final
2021-11-05 08:45:04	ga_ls7e_ard_3-2-0_096071_2021-11-04_final
2021-11-11 08:13:00	ga_ls7e_ard_3-2-0_090085_2021-11-10_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-11-11 09:45:53	ga_ls7e_ard_3-2-0_106070_2021-11-11_final
2021-11-12 08:50:58	ga_ls7e_ard_3-2-0_097072_2021-11-11_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-14 08:47:07	ga_ls7e_ard_3-2-1_097070_2021-12-13_final
2021-12-22 09:35:23	ga_ls7e_ard_3-2-1_105069_2021-12-22_final
2021-12-26 09:15:27	ga_ls7e_ard_3-2-1_101082_2021-12-25_final
2021-12-28 09:01:42	ga_ls7e_ard_3-2-1_099079_2021-12-27_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-01-13 08:57:21	ga_ls7e_ard_3-2-1_099072_2022-01-12_final
2022-01-22 08:48:19	ga_ls7e_ard_3-2-1_098067_2022-01-21_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-02-03 09:15:26	ga_ls7e_ard_3-2-1_102076_2022-02-02_final
2022-02-07 08:53:54	ga_ls7e_ard_3-2-1_098085_2022-02-06_final
2022-02-08 09:35:51	ga_ls7e_ard_3-2-1_105082_2022-02-08_final
2022-02-10 09:17:42	ga_ls7e_ard_3-2-1_103068_2022-02-09_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-24 09:51:51	ga_ls7e_ard_3-2-1_109071_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