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
2000-01-07 09:32:52	ga_ls7e_ard_3-1-0_093087_2000-01-07_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2002-01-28 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-01-27_final
2002-06-05 09:28:38	ga_ls7e_ard_3-1-0_093087_2002-06-04_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-09-25 09:27:48	ga_ls7e_ard_3-1-0_093087_2002-09-24_final
2002-12-11 10:29:28	ga_ls7e_ard_3-1-0_104070_2002-12-11_final
2004-04-20 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-04-20_final
2004-05-15 10:27:50	ga_ls7e_ard_3-1-0_103079_2004-05-15_final
2004-09-08 10:04:36	ga_ls7e_ard_3-1-0_099084_2004-09-08_final
2005-06-30 10:10:17	ga_ls7e_ard_3-1-0_100081_2005-06-30_final
2005-11-11 09:30:04	ga_ls7e_ard_3-1-0_094073_2005-11-11_final
2006-11-01 10:00:52	ga_ls7e_ard_3-1-0_099072_2006-11-01_final
2006-12-03 10:00:49	ga_ls7e_ard_3-1-0_099071_2006-12-03_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-03-28 10:31:46	ga_ls7e_ard_3-1-0_104070_2007-03-28_final
2009-04-21 09:30:00	ga_ls7e_ard_3-1-0_093086_2009-04-21_final
2010-03-07 09:30:07	ga_ls7e_ard_3-1-0_093082_2010-03-07_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2011-05-13 09:33:37	ga_ls7e_ard_3-1-0_093087_2011-05-13_final
2014-06-06 09:35:50	ga_ls7e_ard_3-1-0_093083_2014-06-06_final
2016-03-04 10:43:13	ga_ls7e_ard_3-1-0_104070_2016-03-04_final
2017-03-23 10:43:26	ga_ls7e_ard_3-1-0_104070_2017-03-23_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-02-18 10:31:35	ga_ls7e_ard_3-1-0_103077_2019-02-18_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-13 10:38:14	ga_ls7e_ard_3-1-0_104080_2019-03-13_final
2019-03-13 10:38:38	ga_ls7e_ard_3-1-0_104081_2019-03-13_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-05-29 10:02:09	ga_ls7e_ard_3-1-0_099074_2019-05-29_final
2019-08-24 10:03:45	ga_ls7e_ard_3-1-0_100071_2019-08-24_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-09-02 09:57:11	ga_ls7e_ard_3-1-0_099071_2019-09-02_final
2019-09-05 10:31:32	ga_ls7e_ard_3-1-0_104080_2019-09-05_final
2019-09-14 10:25:22	ga_ls7e_ard_3-1-0_103081_2019-09-14_final
2019-09-21 10:26:03	ga_ls7e_ard_3-1-0_104068_2019-09-21_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-11 10:02:29	ga_ls7e_ard_3-1-0_100073_2019-10-11_final
2019-10-16 10:21:37	ga_ls7e_ard_3-1-0_103075_2019-10-16_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-23 10:30:17	ga_ls7e_ard_3-1-0_104082_2019-10-23_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-08 10:25:11	ga_ls7e_ard_3-1-0_104071_2019-11-08_final
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-21 09:52:05	ga_ls7e_ard_3-1-0_099067_2019-11-21_final
2019-11-29 10:46:20	ga_ls7e_ard_3-1-0_107080_2019-11-29_final
2019-12-03 10:17:25	ga_ls7e_ard_3-1-0_103070_2019-12-03_final
2019-12-04 09:23:45	ga_ls7e_ard_3-1-0_094075_2019-12-03_final
2019-12-13 09:18:19	ga_ls7e_ard_3-1-0_093078_2019-12-12_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-19 10:16:13	ga_ls7e_ard_3-1-0_103069_2019-12-19_final
2019-12-23 09:54:29	ga_ls7e_ard_3-1-0_099077_2019-12-23_final
2019-12-29 09:17:06	ga_ls7e_ard_3-1-0_093077_2019-12-28_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-14 09:19:04	ga_ls7e_ard_3-1-0_093084_2020-01-13_final
2020-01-15 09:59:29	ga_ls7e_ard_3-1-0_100077_2020-01-15_final
2020-01-15 10:01:53	ga_ls7e_ard_3-1-0_100083_2020-01-15_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-27 10:20:26	ga_ls7e_ard_3-1-0_104069_2020-01-27_final
2020-01-30 09:16:41	ga_ls7e_ard_3-1-0_093080_2020-01-29_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-02-05 10:16:59	ga_ls7e_ard_3-1-0_103077_2020-02-05_final
2020-02-06 09:20:31	ga_ls7e_ard_3-1-0_094075_2020-02-05_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-02-15 09:17:04	ga_ls7e_ard_3-1-0_093083_2020-02-14_final
2020-02-17 10:43:53	ga_ls7e_ard_3-1-0_107084_2020-02-17_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-03-02 09:15:01	ga_ls7e_ard_3-1-0_093080_2020-03-01_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-03-20 10:40:33	ga_ls7e_ard_3-1-0_107080_2020-03-20_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-03-28 09:46:17	ga_ls7e_ard_3-1-0_099069_2020-03-28_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-10 09:17:02	ga_ls7e_ard_3-1-0_094075_2020-04-09_final
2020-04-10 09:17:50	ga_ls7e_ard_3-1-0_094077_2020-04-09_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-25 10:11:22	ga_ls7e_ard_3-1-0_103074_2020-04-25_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-17 09:49:07	ga_ls7e_ard_3-2-1_108078_2022-03-17_final
2022-03-17 09:49:31	ga_ls7e_ard_3-2-1_108079_2022-03-17_final
2022-03-22 10:06:48	ga_ls7e_ard_3-2-1_111077_2022-03-22_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_final
2022-03-24 09:55:27	ga_ls7e_ard_3-2-1_109080_2022-03-24_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_final
2022-03-31 08:21:17	ga_ls7e_ard_3-2-1_094078_2022-03-30_final
2022-03-31 09:59:46	ga_ls7e_ard_3-2-1_110077_2022-03-31_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_final
2022-04-02 09:47:12	ga_ls7e_ard_3-2-1_108077_2022-04-02_final
2022-04-03 08:54:17	ga_ls7e_ard_3-2-1_099084_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