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
2000-11-30 10:15:03	ga_ls7e_ard_3-1-0_101075_2000-11-30_final
2002-01-04 10:13:20	ga_ls7e_ard_3-1-0_101075_2002-01-04_final
2003-12-01 11:05:11	ga_ls7e_ard_3-1-0_109081_2003-12-01_final
2004-03-27 11:25:32	ga_ls7e_ard_3-1-0_112084_2004-03-27_final
2005-04-30 09:02:30	ga_ls7e_ard_3-1-0_089081_2005-04-29_final
2006-07-14 09:50:10	ga_ls7e_ard_3-1-0_097076_2006-07-14_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2006-11-30 11:09:11	ga_ls7e_ard_3-1-0_110072_2006-11-30_final
2007-05-10 10:13:53	ga_ls7e_ard_3-1-0_101072_2007-05-10_final
2007-11-10 11:06:35	ga_ls7e_ard_3-1-0_109081_2007-11-10_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-05-28 10:14:35	ga_ls7e_ard_3-1-0_101075_2008-05-28_final
2008-09-20 09:09:33	ga_ls7e_ard_3-1-0_090085_2008-09-19_final
2008-11-12 11:05:38	ga_ls7e_ard_3-1-0_109081_2008-11-12_final
2009-03-08 09:03:01	ga_ls7e_ard_3-1-0_089081_2009-03-07_final
2009-03-31 09:10:57	ga_ls7e_ard_3-1-0_090085_2009-03-30_final
2009-04-25 09:03:18	ga_ls7e_ard_3-1-0_089081_2009-04-24_final
2009-11-12 10:31:48	ga_ls7e_ard_3-1-0_104070_2009-11-12_final
2010-05-30 09:05:02	ga_ls7e_ard_3-1-0_089081_2010-05-29_final
2010-06-18 11:11:15	ga_ls7e_ard_3-1-0_110072_2010-06-18_final
2010-09-28 10:33:30	ga_ls7e_ard_3-1-0_104070_2010-09-28_final
2010-10-24 11:11:34	ga_ls7e_ard_3-1-0_110072_2010-10-24_final
2011-05-02 11:27:05	ga_ls7e_ard_3-1-0_112077_2011-05-02_final
2011-06-02 09:06:31	ga_ls7e_ard_3-1-0_089081_2011-06-01_final
2011-11-18 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-11-18_final
2012-01-12 09:06:57	ga_ls7e_ard_3-1-0_089081_2012-01-11_final
2013-02-22 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-02-21_final
2013-03-15 11:12:39	ga_ls7e_ard_3-1-0_109081_2013-03-15_final
2013-08-10 09:08:07	ga_ls7e_ard_3-1-0_089081_2013-08-09_final
2014-11-26 10:39:32	ga_ls7e_ard_3-1-0_104070_2014-11-26_final
2015-04-22 09:39:15	ga_ls7e_ard_3-1-0_093087_2015-04-22_final
2015-11-21 11:34:16	ga_ls7e_ard_3-1-0_112077_2015-11-21_final
2016-03-27 09:15:04	ga_ls7e_ard_3-1-0_089081_2016-03-26_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2016-08-21 09:47:15	ga_ls7e_ard_3-1-0_094083_2016-08-21_final
2016-11-06 09:15:32	ga_ls7e_ard_3-1-0_089081_2016-11-05_final
2017-04-15 09:15:15	ga_ls7e_ard_3-1-0_089081_2017-04-14_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-08-05 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-08-04_final
2017-09-22 09:15:29	ga_ls7e_ard_3-1-0_089081_2017-09-21_final
2017-12-31 10:28:03	ga_ls7e_ard_3-1-0_101078_2017-12-31_final
2018-09-09 09:10:58	ga_ls7e_ard_3-1-0_089081_2018-09-08_final
2018-12-17 11:14:47	ga_ls7e_ard_3-1-0_110072_2018-12-17_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-12 09:51:25	ga_ls7e_ard_3-1-0_097071_2019-03-12_final
2019-03-12 09:54:13	ga_ls7e_ard_3-1-0_097078_2019-03-12_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-06-27 09:29:48	ga_ls7e_ard_3-1-0_094073_2019-06-26_final
2019-08-30 09:31:36	ga_ls7e_ard_3-1-0_094084_2019-08-30_final
2019-08-30 11:05:17	ga_ls7e_ard_3-1-0_110071_2019-08-30_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-13 11:18:14	ga_ls7e_ard_3-1-0_112074_2019-09-13_final
2019-09-18 09:56:05	ga_ls7e_ard_3-1-0_099070_2019-09-18_final
2019-10-10 10:57:21	ga_ls7e_ard_3-1-0_109071_2019-10-10_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-20 09:56:19	ga_ls7e_ard_3-1-0_099074_2019-10-20_final
2019-10-20 09:58:19	ga_ls7e_ard_3-1-0_099079_2019-10-20_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-10-30 08:56:53	ga_ls7e_ard_3-1-0_089081_2019-10-29_final
2019-11-03 10:08:28	ga_ls7e_ard_3-1-0_101075_2019-11-03_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-07 11:26:02	ga_ls7e_ard_3-1-0_113084_2019-11-07_final
2019-11-18 11:01:48	ga_ls7e_ard_3-1-0_110071_2019-11-18_final
2019-11-18 11:02:36	ga_ls7e_ard_3-1-0_110073_2019-11-18_final
2019-11-19 10:06:08	ga_ls7e_ard_3-1-0_101071_2019-11-19_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-11-23 11:24:30	ga_ls7e_ard_3-1-0_113082_2019-11-23_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-16 11:28:21	ga_ls7e_ard_3-1-0_114079_2019-12-16_final
2019-12-19 10:15:49	ga_ls7e_ard_3-1-0_103068_2019-12-19_final
2019-12-20 11:04:37	ga_ls7e_ard_3-1-0_110082_2019-12-20_final
2019-12-29 10:53:35	ga_ls7e_ard_3-1-0_109071_2019-12-29_final
2020-01-10 11:22:52	ga_ls7e_ard_3-1-0_113084_2020-01-10_final
2020-01-21 09:24:55	ga_ls7e_ard_3-1-0_094084_2020-01-20_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-01-26 11:21:17	ga_ls7e_ard_3-1-0_113082_2020-01-26_final
2020-02-06 10:56:12	ga_ls7e_ard_3-1-0_110067_2020-02-06_final
2020-02-15 10:52:45	ga_ls7e_ard_3-1-0_109075_2020-02-15_final
2020-02-17 10:40:41	ga_ls7e_ard_3-1-0_107076_2020-02-17_final
2020-02-20 11:14:13	ga_ls7e_ard_3-1-0_112083_2020-02-20_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-03-09 10:56:30	ga_ls7e_ard_3-1-0_110072_2020-03-09_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-03-25 10:57:37	ga_ls7e_ard_3-1-0_110077_2020-03-25_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-06 11:22:27	ga_ls7e_ard_3-1-0_114079_2020-04-06_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-16 10:17:41	ga_ls7e_ard_3-1-0_104073_2020-04-16_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_final
2022-04-06 09:22:29	ga_ls7e_ard_3-2-1_104078_2022-04-05_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