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
2000-03-18 09:37:12	ga_ls7e_ard_3-1-0_094083_2000-03-18_final
2001-06-18 09:28:46	ga_ls7e_ard_3-1-0_093085_2001-06-17_final
2004-05-16 09:30:13	ga_ls7e_ard_3-1-0_094074_2004-05-16_final
2004-07-22 10:00:03	ga_ls7e_ard_3-1-0_099072_2004-07-22_final
2004-10-17 10:09:32	ga_ls7e_ard_3-1-0_100081_2004-10-17_final
2005-01-27 09:34:01	ga_ls7e_ard_3-1-0_094083_2005-01-27_final
2005-02-06 10:10:25	ga_ls7e_ard_3-1-0_100081_2005-02-06_final
2005-10-10 09:30:03	ga_ls7e_ard_3-1-0_094074_2005-10-10_final
2006-10-03 10:30:38	ga_ls7e_ard_3-1-0_104070_2006-10-03_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2006-12-22 10:31:25	ga_ls7e_ard_3-1-0_104070_2006-12-22_final
2007-05-31 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-05-31_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2009-08-12 10:11:04	ga_ls7e_ard_3-1-0_100081_2009-08-12_final
2010-03-30 09:36:48	ga_ls7e_ard_3-1-0_094083_2010-03-30_final
2010-06-27 09:30:13	ga_ls7e_ard_3-1-0_093082_2010-06-27_final
2010-08-14 09:29:51	ga_ls7e_ard_3-1-0_093081_2010-08-13_final
2010-08-21 09:36:51	ga_ls7e_ard_3-1-0_094083_2010-08-21_final
2011-06-14 09:32:01	ga_ls7e_ard_3-1-0_093083_2011-06-14_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2012-10-23 10:16:42	ga_ls7e_ard_3-1-0_100081_2012-10-23_final
2014-03-19 10:17:48	ga_ls7e_ard_3-1-0_100081_2014-03-19_final
2014-11-29 09:36:47	ga_ls7e_ard_3-1-0_093083_2014-11-29_final
2015-05-31 09:44:07	ga_ls7e_ard_3-1-0_094083_2015-05-31_final
2015-09-13 09:39:57	ga_ls7e_ard_3-1-0_093087_2015-09-13_final
2016-10-02 10:23:39	ga_ls7e_ard_3-1-0_100081_2016-10-02_final
2016-10-24 09:47:19	ga_ls7e_ard_3-1-0_094083_2016-10-24_final
2016-11-18 09:40:58	ga_ls7e_ard_3-1-0_093083_2016-11-18_final
2017-06-05 09:47:11	ga_ls7e_ard_3-1-0_094083_2017-06-05_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2018-04-05 09:45:31	ga_ls7e_ard_3-1-0_094083_2018-04-05_final
2018-06-30 10:44:14	ga_ls7e_ard_3-1-0_104079_2018-06-30_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-03-01 10:13:06	ga_ls7e_ard_3-1-0_100078_2019-03-01_final
2019-03-06 10:30:41	ga_ls7e_ard_3-1-0_103076_2019-03-06_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-13 10:33:27	ga_ls7e_ard_3-1-0_104068_2019-03-13_final
2019-03-16 09:30:57	ga_ls7e_ard_3-1-0_093082_2019-03-16_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-06-20 09:27:52	ga_ls7e_ard_3-1-0_093083_2019-06-19_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-08-29 10:24:28	ga_ls7e_ard_3-1-0_103077_2019-08-29_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-09 10:05:03	ga_ls7e_ard_3-1-0_100076_2019-09-09_final
2019-09-14 10:23:22	ga_ls7e_ard_3-1-0_103076_2019-09-14_final
2019-09-14 10:24:58	ga_ls7e_ard_3-1-0_103080_2019-09-14_final
2019-09-18 09:57:40	ga_ls7e_ard_3-1-0_099074_2019-09-18_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-21 10:31:14	ga_ls7e_ard_3-1-0_104081_2019-09-21_final
2019-09-24 09:20:19	ga_ls7e_ard_3-1-0_093074_2019-09-23_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-04 09:56:12	ga_ls7e_ard_3-1-0_099072_2019-10-04_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-07 10:28:10	ga_ls7e_ard_3-1-0_104075_2019-10-07_final
2019-10-07 10:28:58	ga_ls7e_ard_3-1-0_104077_2019-10-07_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-17 09:27:57	ga_ls7e_ard_3-1-0_094080_2019-10-16_final
2019-10-20 09:53:56	ga_ls7e_ard_3-1-0_099068_2019-10-20_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-24 10:27:38	ga_ls7e_ard_3-1-0_104079_2019-11-24_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-19 10:16:13	ga_ls7e_ard_3-1-0_103069_2019-12-19_final
2019-12-19 10:18:37	ga_ls7e_ard_3-1-0_103075_2019-12-19_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-21 09:22:07	ga_ls7e_ard_3-1-0_094077_2020-01-20_final
2020-01-21 09:23:19	ga_ls7e_ard_3-1-0_094080_2020-01-20_final
2020-01-27 10:21:13	ga_ls7e_ard_3-1-0_104071_2020-01-27_final
2020-02-12 10:21:36	ga_ls7e_ard_3-1-0_104074_2020-02-12_final
2020-03-12 09:51:33	ga_ls7e_ard_3-1-0_099080_2020-03-12_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-19 09:55:21	ga_ls7e_ard_3-1-0_100075_2020-03-19_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-03-20 10:40:33	ga_ls7e_ard_3-1-0_107080_2020-03-20_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-21 10:36:44	ga_ls7e_ard_3-1-0_107075_2020-04-21_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2020-04-26 09:16:53	ga_ls7e_ard_3-1-0_094077_2020-04-25_final
2020-04-29 09:50:24	ga_ls7e_ard_3-1-0_099084_2020-04-29_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-19 09:33:47	ga_ls7e_ard_3-2-1_106071_2022-03-19_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-22 08:28:19	ga_ls7e_ard_3-2-1_095078_2022-03-21_final
2022-03-24 08:14:58	ga_ls7e_ard_3-2-1_093076_2022-03-23_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-05 08:39:44	ga_ls7e_ard_3-2-1_097079_2022-04-04_final
2022-04-05 08:41:19	ga_ls7e_ard_3-2-1_097083_2022-04-04_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