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
2002-02-01 09:01:43	ga_ls7e_ard_3-1-0_089081_2002-01-31_final
2002-09-25 09:27:48	ga_ls7e_ard_3-1-0_093087_2002-09-24_final
2003-05-23 09:28:42	ga_ls7e_ard_3-1-0_093087_2003-05-22_final
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2004-04-30 09:27:23	ga_ls7e_ard_3-1-0_094067_2004-04-29_final
2004-07-03 09:27:14	ga_ls7e_ard_3-1-0_094067_2004-07-02_final
2004-07-07 09:09:41	ga_ls7e_ard_3-1-0_090085_2004-07-06_final
2004-08-20 11:07:54	ga_ls7e_ard_3-1-0_110072_2004-08-20_final
2004-10-23 11:07:51	ga_ls7e_ard_3-1-0_110072_2004-10-23_final
2004-10-27 09:09:29	ga_ls7e_ard_3-1-0_090085_2004-10-26_final
2005-02-05 09:29:32	ga_ls7e_ard_3-1-0_093087_2005-02-04_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-10-10 11:08:09	ga_ls7e_ard_3-1-0_110072_2005-10-10_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-01-14 11:12:34	ga_ls7e_ard_3-1-0_110081_2006-01-14_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-08-25 10:29:29	ga_ls7e_ard_3-1-0_103082_2006-08-25_final
2006-09-27 09:30:04	ga_ls7e_ard_3-1-0_094073_2006-09-27_final
2006-10-26 09:05:46	ga_ls7e_ard_3-1-0_089089_2006-10-25_final
2008-01-08 09:11:03	ga_ls7e_ard_3-1-0_090085_2008-01-07_final
2009-08-18 09:28:24	ga_ls7e_ard_3-1-0_094067_2009-08-17_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2009-10-21 09:28:28	ga_ls7e_ard_3-1-0_094067_2009-10-20_final
2009-11-20 11:22:56	ga_ls7e_ard_3-1-0_112074_2009-11-20_final
2010-05-30 09:08:14	ga_ls7e_ard_3-1-0_089089_2010-05-29_final
2010-12-04 09:32:58	ga_ls7e_ard_3-1-0_093087_2010-12-04_final
2011-12-02 09:14:25	ga_ls7e_ard_3-1-0_090085_2011-12-01_final
2012-03-03 09:32:20	ga_ls7e_ard_3-1-0_094067_2012-03-03_final
2012-08-26 11:14:20	ga_ls7e_ard_3-1-0_110072_2012-08-26_final
2013-02-18 11:15:18	ga_ls7e_ard_3-1-0_110072_2013-02-18_final
2013-02-21 10:12:05	ga_ls7e_ard_3-1-0_099084_2013-02-21_final
2013-09-30 09:34:01	ga_ls7e_ard_3-1-0_094067_2013-09-30_final
2014-05-12 09:35:31	ga_ls7e_ard_3-1-0_094067_2014-05-12_final
2014-11-02 11:34:26	ga_ls7e_ard_3-1-0_112084_2014-11-02_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-12-09 09:39:18	ga_ls7e_ard_3-1-0_094067_2015-12-09_final
2015-12-09 11:20:11	ga_ls7e_ard_3-1-0_110072_2015-12-09_final
2016-05-01 11:21:29	ga_ls7e_ard_3-1-0_110072_2016-05-01_final
2016-06-02 09:40:44	ga_ls7e_ard_3-1-0_094067_2016-06-02_final
2017-01-26 11:38:17	ga_ls7e_ard_3-1-0_112084_2017-01-26_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-09-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-09_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-03-07 10:17:37	ga_ls7e_ard_3-1-0_099085_2018-03-07_final
2018-07-14 09:18:38	ga_ls7e_ard_3-1-0_090082_2018-07-13_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2019-02-03 09:32:25	ga_ls7e_ard_3-1-0_094067_2019-02-03_final
2019-02-19 11:12:49	ga_ls7e_ard_3-1-0_110072_2019-02-19_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-20 09:06:06	ga_ls7e_ard_3-1-0_089082_2019-03-19_final
2019-03-29 10:34:54	ga_ls7e_ard_3-1-0_104073_2019-03-29_final
2019-05-24 11:26:39	ga_ls7e_ard_3-1-0_112084_2019-05-24_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-09-08 11:03:54	ga_ls7e_ard_3-1-0_109084_2019-09-08_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-19 09:03:12	ga_ls7e_ard_3-1-0_090077_2019-09-18_final
2019-09-25 10:02:44	ga_ls7e_ard_3-1-0_100072_2019-09-25_final
2019-09-26 10:46:45	ga_ls7e_ard_3-1-0_107074_2019-09-26_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-11 10:01:41	ga_ls7e_ard_3-1-0_100071_2019-10-11_final
2019-10-12 10:46:06	ga_ls7e_ard_3-1-0_107074_2019-10-12_final
2019-10-28 10:45:25	ga_ls7e_ard_3-1-0_107074_2019-10-28_final
2019-11-02 11:04:32	ga_ls7e_ard_3-1-0_110076_2019-11-02_final
2019-11-05 09:54:25	ga_ls7e_ard_3-1-0_099071_2019-11-05_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2019-11-08 10:26:23	ga_ls7e_ard_3-1-0_104074_2019-11-08_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-22 09:03:36	ga_ls7e_ard_3-1-0_090085_2019-11-21_final
2019-11-27 11:00:23	ga_ls7e_ard_3-1-0_109084_2019-11-27_final
2019-11-29 10:44:20	ga_ls7e_ard_3-1-0_107075_2019-11-29_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-24 09:01:37	ga_ls7e_ard_3-1-0_090084_2019-12-23_final
2019-12-25 11:22:30	ga_ls7e_ard_3-1-0_113081_2019-12-25_final
2020-01-08 09:53:15	ga_ls7e_ard_3-1-0_099076_2020-01-08_final
2020-01-08 09:54:51	ga_ls7e_ard_3-1-0_099080_2020-01-08_final
2020-01-14 10:53:10	ga_ls7e_ard_3-1-0_109072_2020-01-14_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-01-30 10:52:46	ga_ls7e_ard_3-1-0_109073_2020-01-30_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-09 09:53:15	ga_ls7e_ard_3-1-0_099080_2020-02-09_final
2020-02-16 10:00:40	ga_ls7e_ard_3-1-0_100084_2020-02-16_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-20 11:14:13	ga_ls7e_ard_3-1-0_112083_2020-02-20_final
2020-03-04 10:37:26	ga_ls7e_ard_3-1-0_107070_2020-03-04_final
2020-03-14 11:18:22	ga_ls7e_ard_3-1-0_113081_2020-03-14_final
2020-03-25 10:56:01	ga_ls7e_ard_3-1-0_110073_2020-03-25_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-03-29 08:54:36	ga_ls7e_ard_3-1-0_090079_2020-03-28_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-25 09:01:20	ga_ls7e_ard_3-2-1_100084_2022-03-24_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_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