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
1999-10-19 09:32:56	ga_ls7e_ard_3-1-0_093087_1999-10-19_final
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2001-06-15 10:30:48	ga_ls7e_ard_3-1-0_104070_2001-06-15_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2003-09-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2003-09-25_final
2005-09-30 10:33:53	ga_ls7e_ard_3-1-0_104079_2005-09-30_final
2006-05-28 10:34:53	ga_ls7e_ard_3-1-0_104079_2006-05-28_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-04-29 10:31:41	ga_ls7e_ard_3-1-0_104070_2007-04-29_final
2007-08-03 10:31:20	ga_ls7e_ard_3-1-0_104070_2007-08-03_final
2008-03-30 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-30_final
2008-12-27 10:30:49	ga_ls7e_ard_3-1-0_104070_2008-12-27_final
2009-01-15 09:28:08	ga_ls7e_ard_3-1-0_093083_2009-01-14_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2009-09-25 10:31:22	ga_ls7e_ard_3-1-0_104070_2009-09-25_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2011-06-14 09:32:01	ga_ls7e_ard_3-1-0_093083_2011-06-14_final
2011-07-13 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-07-13_final
2012-02-06 10:35:19	ga_ls7e_ard_3-1-0_104070_2012-02-06_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2014-06-03 10:38:37	ga_ls7e_ard_3-1-0_104070_2014-06-03_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2015-05-05 10:40:33	ga_ls7e_ard_3-1-0_104070_2015-05-05_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2018-03-07 10:17:37	ga_ls7e_ard_3-1-0_099085_2018-03-07_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-08-17 10:43:21	ga_ls7e_ard_3-1-0_104079_2018-08-17_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2019-02-28 09:29:52	ga_ls7e_ard_3-1-0_093078_2019-02-27_final
2019-02-28 09:31:28	ga_ls7e_ard_3-1-0_093082_2019-02-28_final
2019-03-02 10:54:20	ga_ls7e_ard_3-1-0_107073_2019-03-02_final
2019-03-10 10:07:02	ga_ls7e_ard_3-1-0_099079_2019-03-10_final
2019-03-13 10:35:03	ga_ls7e_ard_3-1-0_104072_2019-03-13_final
2019-03-16 09:29:45	ga_ls7e_ard_3-1-0_093079_2019-03-15_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-06-17 10:30:46	ga_ls7e_ard_3-1-0_104070_2019-06-17_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-24 09:23:07	ga_ls7e_ard_3-1-0_093081_2019-09-23_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-10-11 10:03:17	ga_ls7e_ard_3-1-0_100075_2019-10-11_final
2019-10-20 09:59:31	ga_ls7e_ard_3-1-0_099082_2019-10-20_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-08 10:25:35	ga_ls7e_ard_3-1-0_104072_2019-11-08_final
2019-11-08 10:28:23	ga_ls7e_ard_3-1-0_104079_2019-11-08_final
2019-11-11 09:21:51	ga_ls7e_ard_3-1-0_093083_2019-11-10_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-11-29 10:45:08	ga_ls7e_ard_3-1-0_107077_2019-11-29_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-12 09:48:46	ga_ls7e_ard_3-1-0_099073_2020-03-12_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-03-18 09:14:09	ga_ls7e_ard_3-1-0_093080_2020-03-17_final
2020-03-18 09:15:44	ga_ls7e_ard_3-1-0_093084_2020-03-17_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-20 10:40:09	ga_ls7e_ard_3-1-0_107079_2020-03-20_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-03-31 10:17:48	ga_ls7e_ard_3-1-0_104071_2020-03-31_final
2020-04-04 09:56:03	ga_ls7e_ard_3-1-0_100079_2020-04-04_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-16 10:16:53	ga_ls7e_ard_3-1-0_104071_2020-04-16_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-20 09:52:20	ga_ls7e_ard_3-1-0_100072_2020-04-20_final
2020-04-20 09:53:32	ga_ls7e_ard_3-1-0_100075_2020-04-20_final
2020-04-29 09:48:25	ga_ls7e_ard_3-1-0_099079_2020-04-29_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_final
2022-03-22 10:06:00	ga_ls7e_ard_3-2-1_111075_2022-03-22_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-03-28 09:29:57	ga_ls7e_ard_3-2-1_105079_2022-03-27_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-30 09:15:24	ga_ls7e_ard_3-2-1_103074_2022-03-29_final
2022-03-31 08:21:17	ga_ls7e_ard_3-2-1_094078_2022-03-30_final
2022-03-31 08:23:41	ga_ls7e_ard_3-2-1_094084_2022-03-30_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_2022-04-04_final
2022-04-05 08:38:32	ga_ls7e_ard_3-2-1_097076_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