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
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2003-12-14 10:30:00	ga_ls7e_ard_3-1-0_104070_2003-12-14_final
2005-08-29 10:30:27	ga_ls7e_ard_3-1-0_104070_2005-08-29_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2008-02-15 10:11:10	ga_ls7e_ard_3-1-0_100081_2008-02-15_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2009-08-12 10:11:04	ga_ls7e_ard_3-1-0_100081_2009-08-12_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2010-01-15 10:32:44	ga_ls7e_ard_3-1-0_104070_2010-01-15_final
2010-02-16 10:33:09	ga_ls7e_ard_3-1-0_104070_2010-02-16_final
2010-03-04 10:33:17	ga_ls7e_ard_3-1-0_104070_2010-03-04_final
2010-10-01 09:28:15	ga_ls7e_ard_3-1-0_093077_2010-09-30_final
2011-03-26 09:32:00	ga_ls7e_ard_3-1-0_093083_2011-03-26_final
2011-05-10 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-10_final
2011-08-14 10:38:13	ga_ls7e_ard_3-1-0_104079_2011-08-14_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2012-09-21 10:16:23	ga_ls7e_ard_3-1-0_100081_2012-09-21_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-01-23 10:39:24	ga_ls7e_ard_3-1-0_104075_2013-01-23_final
2014-01-13 09:36:33	ga_ls7e_ard_3-1-0_093087_2014-01-13_final
2014-05-02 10:38:27	ga_ls7e_ard_3-1-0_104070_2014-05-02_final
2014-07-24 09:36:01	ga_ls7e_ard_3-1-0_093083_2014-07-24_final
2014-09-11 10:18:31	ga_ls7e_ard_3-1-0_100081_2014-09-11_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2019-02-09 10:38:50	ga_ls7e_ard_3-1-0_104079_2019-02-09_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-02-28 09:30:16	ga_ls7e_ard_3-1-0_093079_2019-02-28_final
2019-03-01 10:11:54	ga_ls7e_ard_3-1-0_100075_2019-03-01_final
2019-03-01 10:14:18	ga_ls7e_ard_3-1-0_100081_2019-03-01_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-03-18 10:57:25	ga_ls7e_ard_3-1-0_107082_2019-03-18_final
2019-03-29 10:36:30	ga_ls7e_ard_3-1-0_104077_2019-03-29_final
2019-08-24 10:07:44	ga_ls7e_ard_3-1-0_100081_2019-08-24_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-08-25 10:49:21	ga_ls7e_ard_3-1-0_107077_2019-08-25_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-05 10:29:57	ga_ls7e_ard_3-1-0_104076_2019-09-05_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-08 09:22:38	ga_ls7e_ard_3-1-0_093078_2019-09-07_final
2019-09-09 10:07:03	ga_ls7e_ard_3-1-0_100081_2019-09-09_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-14 10:23:46	ga_ls7e_ard_3-1-0_103077_2019-09-14_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-09-21 10:27:38	ga_ls7e_ard_3-1-0_104072_2019-09-21_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-23 10:26:18	ga_ls7e_ard_3-1-0_104072_2019-10-23_final
2019-10-27 10:04:36	ga_ls7e_ard_3-1-0_100080_2019-10-27_final
2019-11-21 09:54:53	ga_ls7e_ard_3-1-0_099074_2019-11-21_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-14 10:02:43	ga_ls7e_ard_3-1-0_100081_2019-12-14_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-11 10:22:48	ga_ls7e_ard_3-1-0_104073_2020-01-11_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
2020-02-16 09:59:04	ga_ls7e_ard_3-1-0_100080_2020-02-16_final
2020-02-16 09:59:28	ga_ls7e_ard_3-1-0_100081_2020-02-16_final
2020-02-21 10:16:33	ga_ls7e_ard_3-1-0_103078_2020-02-21_final
2020-03-20 10:39:45	ga_ls7e_ard_3-1-0_107078_2020-03-20_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-04 09:56:51	ga_ls7e_ard_3-1-0_100081_2020-04-04_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-16 10:18:53	ga_ls7e_ard_3-1-0_104076_2020-04-16_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2020-04-19 09:13:31	ga_ls7e_ard_3-1-0_093083_2020-04-18_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-25 10:11:22	ga_ls7e_ard_3-1-0_103074_2020-04-25_final
2020-04-25 10:12:34	ga_ls7e_ard_3-1-0_103077_2020-04-25_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-17 09:49:55	ga_ls7e_ard_3-2-1_108080_2022-03-17_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-26 09:42:30	ga_ls7e_ard_3-2-1_107079_2022-03-26_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-04-01 09:03:15	ga_ls7e_ard_3-2-1_101075_2022-03-31_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-02 09:46:49	ga_ls7e_ard_3-2-1_108076_2022-04-02_final
2022-04-05 08:38:08	ga_ls7e_ard_3-2-1_097075_2022-04-04_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_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