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
2000-03-14 11:39:59	ga_ls7e_ard_3-0-0_114081_2000-03-14_final
2003-08-23 11:30:26	ga_ls7e_ard_3-0-0_113083_2003-08-23_final
2003-08-30 11:32:59	ga_ls7e_ard_3-0-0_114074_2003-08-30_final
2003-11-11 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-11-11_final
2003-11-18 11:35:38	ga_ls7e_ard_3-0-0_114080_2003-11-18_final
2003-12-27 11:41:17	ga_ls7e_ard_3-0-0_115078_2003-12-27_final
2004-01-21 11:35:38	ga_ls7e_ard_3-0-0_114079_2004-01-21_final
2005-04-20 11:40:20	ga_ls7e_ard_3-0-0_115074_2005-04-20_final
2005-10-15 11:29:34	ga_ls7e_ard_3-0-0_113079_2005-10-15_final
2005-12-02 11:31:38	ga_ls7e_ard_3-0-0_113083_2005-12-02_final
2006-07-12 11:41:01	ga_ls7e_ard_3-0-0_115075_2006-07-12_final
2007-01-31 11:26:11	ga_ls7e_ard_3-1-0_112083_2007-01-31_final
2007-07-01 11:28:41	ga_ls7e_ard_3-0-0_113074_2007-07-01_final
2007-07-31 11:42:08	ga_ls7e_ard_3-0-0_115077_2007-07-31_final
2007-08-09 11:37:30	ga_ls7e_ard_3-0-0_114081_2007-08-09_final
2007-11-20 11:42:58	ga_ls7e_ard_3-0-0_115079_2007-11-20_final
2009-08-14 11:32:00	ga_ls7e_ard_3-0-0_114067_2009-08-14_final
2009-08-21 11:42:34	ga_ls7e_ard_3-0-0_115078_2009-08-21_final
2009-12-20 11:38:30	ga_ls7e_ard_3-0-0_114081_2009-12-20_final
2010-01-30 11:30:10	ga_ls7e_ard_3-0-0_113074_2010-01-30_final
2010-02-06 11:33:39	ga_ls7e_ard_3-0-0_114067_2010-02-06_final
2010-07-09 11:33:27	ga_ls7e_ard_3-0-0_113081_2010-07-09_final
2011-02-09 11:38:03	ga_ls7e_ard_3-0-0_114074_2011-02-09_final
2011-07-28 11:35:07	ga_ls7e_ard_3-0-0_113082_2011-07-28_final
2011-08-13 11:31:51	ga_ls7e_ard_3-0-0_113074_2011-08-13_final
2011-11-08 11:40:30	ga_ls7e_ard_3-0-0_114080_2011-11-08_final
2012-12-05 11:38:00	ga_ls7e_ard_3-0-0_113083_2012-12-05_final
2014-10-24 11:40:08	ga_ls7e_ard_3-0-0_113083_2014-10-24_final
2014-12-25 11:51:20	ga_ls7e_ard_3-0-0_115079_2014-12-25_final
2015-01-26 11:49:25	ga_ls7e_ard_3-0-0_115074_2015-01-26_final
2015-11-21 11:33:04	ga_ls7e_ard_3-0-0_112074_2015-11-21_final
2015-12-05 11:48:01	ga_ls7e_ard_3-0-0_114080_2015-12-05_final
2016-01-08 11:36:59	ga_ls7e_ard_3-0-0_112082_2016-01-08_final
2016-04-11 11:44:04	ga_ls7e_ard_3-0-0_114067_2016-04-11_final
2016-06-05 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-06-05_final
2016-10-06 11:35:01	ga_ls7e_ard_3-0-0_112074_2016-10-06_final
2017-05-02 11:34:43	ga_ls7e_ard_3-0-0_112074_2017-05-02_final
2017-05-09 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-05-09_final
2017-09-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-09-07_final
2018-01-02 11:54:57	ga_ls7e_ard_3-0-0_115079_2018-01-02_final
2018-11-20 11:38:26	ga_ls7e_ard_3-0-0_113083_2018-11-20_final
2018-12-31 11:31:07	ga_ls7e_ard_3-0-0_112083_2018-12-31_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_final
2019-07-18 11:30:00	ga_ls7e_ard_3-0-0_113082_2019-07-18_final
2020-08-05 11:10:37	ga_ls7e_ard_3-1-0_113083_2020-08-05_final
2020-08-21 11:06:00	ga_ls7e_ard_3-1-0_113074_2020-08-21_final
2020-12-03 10:12:49	ga_ls7e_ard_3-1-0_105082_2020-12-03_final
2020-12-05 09:55:07	ga_ls7e_ard_3-1-0_103069_2020-12-05_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2020-12-15 10:34:14	ga_ls7e_ard_3-1-0_109076_2020-12-15_final
2020-12-26 10:13:17	ga_ls7e_ard_3-1-0_106072_2020-12-26_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-01-10 11:10:40	ga_ls7e_ard_3-1-0_115079_2021-01-10_final
2021-01-16 10:35:09	ga_ls7e_ard_3-1-0_109084_2021-01-16_final
2021-01-19 09:26:33	ga_ls7e_ard_3-1-0_098083_2021-01-18_final
2021-01-21 09:10:04	ga_ls7e_ard_3-2-0_096073_2021-01-20_final
2021-01-21 10:49:20	ga_ls7e_ard_3-2-0_112074_2021-01-21_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-15 09:01:38	ga_ls7e_ard_3-2-0_095072_2021-02-14_final
2021-02-22 09:12:29	ga_ls7e_ard_3-2-0_096085_2021-02-21_final
2021-02-23 09:54:04	ga_ls7e_ard_3-2-0_103081_2021-02-23_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-04-15 08:43:59	ga_ls7e_ard_3-2-0_092086_2021-04-14_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-22 10:33:06	ga_ls7e_ard_3-2-0_111073_2021-05-22_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-06-24 09:33:56	ga_ls7e_ard_3-2-0_102071_2021-06-24_final
2021-07-02 10:23:54	ga_ls7e_ard_3-2-0_110074_2021-07-02_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-07 10:45:37	ga_ls7e_ard_3-2-0_113083_2021-07-07_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-14 09:12:43	ga_ls7e_ard_3-2-0_098084_2021-07-13_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-07-28 09:21:28	ga_ls7e_ard_3-2-0_100078_2021-07-27_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-09-08 09:54:05	ga_ls7e_ard_3-2-0_106076_2021-09-08_final
2021-10-17 08:22:42	ga_ls7e_ard_3-2-0_091088_2021-10-16_final
2021-10-20 08:51:44	ga_ls7e_ard_3-2-0_096084_2021-10-19_final
2021-11-04 09:42:23	ga_ls7e_ard_3-2-0_105075_2021-11-04_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_final
2021-12-18 10:03:17	ga_ls7e_ard_3-2-1_109076_2021-12-18_final
2022-01-19 09:59:46	ga_ls7e_ard_3-2-1_109075_2022-01-19_final
2022-01-23 09:35:04	ga_ls7e_ard_3-2-1_105076_2022-01-23_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-18 08:29:27	ga_ls7e_ard_3-2-1_095073_2022-02-17_final
2022-02-21 09:02:03	ga_ls7e_ard_3-2-1_100078_2022-02-20_final
2022-03-09 08:57:43	ga_ls7e_ard_3-2-1_100071_2022-03-08_final
2022-03-17 09:47:32	ga_ls7e_ard_3-2-1_108074_2022-03-17_final
2022-03-18 08:50:37	ga_ls7e_ard_3-2-1_099071_2022-03-17_final
2022-03-29 10:11:07	ga_ls7e_ard_3-2-1_112074_2022-03-29_final
2022-04-03 08:49:06	ga_ls7e_ard_3-2-1_099071_2022-04-02_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