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
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2004-05-15 10:26:38	ga_ls7e_ard_3-1-0_103076_2004-05-15_final
2004-06-23 10:30:15	ga_ls7e_ard_3-1-0_104070_2004-06-23_final
2004-09-05 09:30:08	ga_ls7e_ard_3-1-0_094075_2004-09-05_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2004-12-16 10:34:01	ga_ls7e_ard_3-1-0_104079_2004-12-16_final
2005-05-19 09:34:13	ga_ls7e_ard_3-1-0_094083_2005-05-19_final
2006-03-28 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-03-27_final
2006-07-18 09:29:48	ga_ls7e_ard_3-1-0_093087_2006-07-17_final
2006-10-27 11:23:08	ga_ls7e_ard_3-1-0_112077_2006-10-27_final
2006-11-23 09:30:26	ga_ls7e_ard_3-1-0_093088_2006-11-23_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-04-16 09:28:56	ga_ls7e_ard_3-1-0_093083_2007-04-15_final
2007-06-19 09:30:17	ga_ls7e_ard_3-1-0_093087_2007-06-19_final
2008-01-23 10:06:16	ga_ls7e_ard_3-1-0_099084_2008-01-23_final
2008-01-24 09:11:02	ga_ls7e_ard_3-1-0_090085_2008-01-23_final
2008-02-14 09:29:55	ga_ls7e_ard_3-1-0_093086_2008-02-13_final
2008-04-09 09:34:45	ga_ls7e_ard_3-1-0_094083_2008-04-09_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-04-09 09:03:14	ga_ls7e_ard_3-1-0_089081_2009-04-08_final
2009-10-18 09:03:06	ga_ls7e_ard_3-1-0_089081_2009-10-17_final
2010-02-03 09:31:48	ga_ls7e_ard_3-1-0_093087_2010-02-03_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-06-02 09:06:31	ga_ls7e_ard_3-1-0_089081_2011-06-01_final
2012-06-27 09:16:23	ga_ls7e_ard_3-1-0_090088_2012-06-26_final
2012-10-03 10:36:51	ga_ls7e_ard_3-1-0_104070_2012-10-03_final
2013-04-16 09:36:01	ga_ls7e_ard_3-1-0_093087_2013-04-16_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2014-09-05 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-09-04_final
2014-11-24 09:18:59	ga_ls7e_ard_3-1-0_090085_2014-11-23_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-03-10 11:35:08	ga_ls7e_ard_3-1-0_112084_2015-03-10_final
2015-04-26 09:15:23	ga_ls7e_ard_3-1-0_089089_2015-04-25_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-11-27 09:21:34	ga_ls7e_ard_3-1-0_090085_2015-11-26_final
2016-09-10 09:23:24	ga_ls7e_ard_3-1-0_090085_2016-09-09_final
2016-10-21 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-10-20_final
2016-12-20 09:42:26	ga_ls7e_ard_3-1-0_093087_2016-12-20_final
2017-10-20 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-10-20_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2019-02-19 09:37:56	ga_ls7e_ard_3-1-0_094082_2019-02-19_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-06 10:32:17	ga_ls7e_ard_3-1-0_103080_2019-03-06_final
2019-03-13 10:36:38	ga_ls7e_ard_3-1-0_104076_2019-03-13_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-08-23 11:00:36	ga_ls7e_ard_3-1-0_109074_2019-08-23_final
2019-08-27 09:00:50	ga_ls7e_ard_3-1-0_089084_2019-08-26_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-20 11:27:42	ga_ls7e_ard_3-1-0_113083_2019-09-20_final
2019-09-30 10:23:04	ga_ls7e_ard_3-1-0_103077_2019-09-30_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-10-27 10:06:11	ga_ls7e_ard_3-1-0_100084_2019-10-27_final
2019-10-31 11:17:47	ga_ls7e_ard_3-1-0_112078_2019-10-31_final
2019-11-21 09:56:04	ga_ls7e_ard_3-1-0_099077_2019-11-21_final
2019-11-23 11:23:42	ga_ls7e_ard_3-1-0_113080_2019-11-23_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-24 08:59:37	ga_ls7e_ard_3-1-0_090079_2019-12-23_final
2020-01-08 09:52:51	ga_ls7e_ard_3-1-0_099075_2020-01-08_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-15 09:59:53	ga_ls7e_ard_3-1-0_100078_2020-01-15_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-05 10:13:24	ga_ls7e_ard_3-1-0_103068_2020-02-05_final
2020-02-17 10:39:53	ga_ls7e_ard_3-1-0_107074_2020-02-17_final
2020-02-20 11:11:26	ga_ls7e_ard_3-1-0_112076_2020-02-20_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-02-22 09:23:40	ga_ls7e_ard_3-1-0_094085_2020-02-21_final
2020-02-25 09:52:01	ga_ls7e_ard_3-1-0_099079_2020-02-25_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-02-27 11:17:38	ga_ls7e_ard_3-1-0_113077_2020-02-27_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-04 10:42:14	ga_ls7e_ard_3-1-0_107082_2020-03-04_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-14 11:17:34	ga_ls7e_ard_3-1-0_113079_2020-03-14_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-18 09:14:09	ga_ls7e_ard_3-1-0_093080_2020-03-17_final
2020-03-28 09:49:28	ga_ls7e_ard_3-1-0_099077_2020-03-28_final
2020-03-29 08:54:36	ga_ls7e_ard_3-1-0_090079_2020-03-28_final
2020-03-31 10:19:48	ga_ls7e_ard_3-1-0_104076_2020-03-31_final
2020-04-04 09:57:39	ga_ls7e_ard_3-1-0_100083_2020-04-04_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-15 11:15:22	ga_ls7e_ard_3-1-0_113078_2020-04-15_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-29 09:48:25	ga_ls7e_ard_3-1-0_099079_2020-04-29_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-23 09:09:05	ga_ls7e_ard_3-2-1_102072_2022-03-22_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_final
2022-04-02 08:10:20	ga_ls7e_ard_3-2-1_092082_2022-04-01_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years