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
2000-02-24 09:32:39	ga_ls7e_ard_3-1-0_093087_2000-02-24_final
2001-07-06 10:49:32	ga_ls7e_ard_3-1-0_107071_2001-07-06_final
2001-12-18 09:26:53	ga_ls7e_ard_3-1-0_094067_2001-12-17_final
2002-03-01 09:29:00	ga_ls7e_ard_3-1-0_093087_2002-02-28_final
2002-04-25 09:27:00	ga_ls7e_ard_3-1-0_094067_2002-04-24_final
2002-06-05 09:28:38	ga_ls7e_ard_3-1-0_093087_2002-06-04_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2004-12-16 10:30:26	ga_ls7e_ard_3-1-0_104070_2004-12-16_final
2005-07-12 10:30:39	ga_ls7e_ard_3-1-0_104070_2005-07-12_final
2005-12-29 09:27:57	ga_ls7e_ard_3-1-0_094067_2005-12-28_final
2008-01-26 10:31:34	ga_ls7e_ard_3-1-0_104070_2008-01-26_final
2008-03-14 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-14_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2009-11-06 09:28:43	ga_ls7e_ard_3-1-0_094067_2009-11-05_final
2010-04-15 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-04-15_final
2010-09-15 09:29:55	ga_ls7e_ard_3-1-0_093081_2010-09-14_final
2010-10-17 09:30:02	ga_ls7e_ard_3-1-0_093081_2010-10-17_final
2011-01-05 09:31:39	ga_ls7e_ard_3-1-0_093083_2011-01-05_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2012-02-16 09:32:22	ga_ls7e_ard_3-1-0_094067_2012-02-16_final
2012-03-12 09:34:07	ga_ls7e_ard_3-1-0_093087_2012-03-12_final
2012-10-29 09:34:04	ga_ls7e_ard_3-1-0_094067_2012-10-29_final
2013-06-16 10:36:53	ga_ls7e_ard_3-1-0_104070_2013-06-16_final
2013-08-03 10:36:29	ga_ls7e_ard_3-1-0_104070_2013-08-03_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2015-11-29 10:42:07	ga_ls7e_ard_3-1-0_104070_2015-11-29_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-09-28 09:35:51	ga_ls7e_ard_3-1-0_094067_2018-09-28_final
2019-01-27 09:30:02	ga_ls7e_ard_3-1-0_093076_2019-01-27_final
2019-02-28 09:29:04	ga_ls7e_ard_3-1-0_093076_2019-02-27_final
2019-02-28 09:29:28	ga_ls7e_ard_3-1-0_093077_2019-02-27_final
2019-03-01 10:11:06	ga_ls7e_ard_3-1-0_100073_2019-03-01_final
2019-03-01 10:13:54	ga_ls7e_ard_3-1-0_100080_2019-03-01_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-18 10:58:12	ga_ls7e_ard_3-1-0_107084_2019-03-18_final
2019-04-30 10:32:33	ga_ls7e_ard_3-1-0_104070_2019-04-30_final
2019-05-03 09:30:03	ga_ls7e_ard_3-1-0_093084_2019-05-03_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-09-05 10:28:45	ga_ls7e_ard_3-1-0_104073_2019-09-05_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-14 10:21:22	ga_ls7e_ard_3-1-0_103071_2019-09-14_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-09-25 10:06:44	ga_ls7e_ard_3-1-0_100082_2019-09-25_final
2019-09-26 10:49:09	ga_ls7e_ard_3-1-0_107080_2019-09-26_final
2019-09-30 10:23:04	ga_ls7e_ard_3-1-0_103077_2019-09-30_final
2019-10-11 10:02:05	ga_ls7e_ard_3-1-0_100072_2019-10-11_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-12 10:48:06	ga_ls7e_ard_3-1-0_107079_2019-10-12_final
2019-10-20 09:55:55	ga_ls7e_ard_3-1-0_099073_2019-10-20_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-10-28 10:49:24	ga_ls7e_ard_3-1-0_107084_2019-10-28_final
2019-11-12 10:03:04	ga_ls7e_ard_3-1-0_100078_2019-11-12_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2019-12-03 10:17:25	ga_ls7e_ard_3-1-0_103070_2019-12-03_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2019-12-15 10:45:32	ga_ls7e_ard_3-1-0_107080_2019-12-15_final
2019-12-19 10:19:25	ga_ls7e_ard_3-1-0_103077_2019-12-19_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2019-12-31 10:44:42	ga_ls7e_ard_3-1-0_107080_2019-12-31_final
2020-01-15 10:00:41	ga_ls7e_ard_3-1-0_100080_2020-01-15_final
2020-01-15 10:01:29	ga_ls7e_ard_3-1-0_100082_2020-01-15_final
2020-01-20 10:18:11	ga_ls7e_ard_3-1-0_103078_2020-01-20_final
2020-01-24 09:54:28	ga_ls7e_ard_3-1-0_099081_2020-01-24_final
2020-01-27 10:22:01	ga_ls7e_ard_3-1-0_104073_2020-01-27_final
2020-01-30 09:17:05	ga_ls7e_ard_3-1-0_093081_2020-01-29_final
2020-01-30 09:19:29	ga_ls7e_ard_3-1-0_093087_2020-01-29_final
2020-02-05 10:18:11	ga_ls7e_ard_3-1-0_103080_2020-02-05_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-02-25 09:52:49	ga_ls7e_ard_3-1-0_099081_2020-02-25_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-18 09:15:44	ga_ls7e_ard_3-1-0_093084_2020-03-17_final
2020-03-24 10:13:13	ga_ls7e_ard_3-1-0_103074_2020-03-24_final
2020-03-24 10:14:25	ga_ls7e_ard_3-1-0_103077_2020-03-24_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-05 10:36:04	ga_ls7e_ard_3-1-0_107071_2020-04-05_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2022-03-13 08:33:23	ga_ls7e_ard_3-2-1_096073_2022-03-12_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-23 09:09:05	ga_ls7e_ard_3-2-1_102072_2022-03-22_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-29 08:32:14	ga_ls7e_ard_3-2-1_096074_2022-03-28_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-04 09:32:39	ga_ls7e_ard_3-2-1_106072_2022-04-04_final
2022-04-05 08:39:44	ga_ls7e_ard_3-2-1_097079_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