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
1999-12-20 09:40:32	ga_ls7e_ard_3-0-0_095075_1999-12-20_final
2001-03-12 09:37:31	ga_ls7e_ard_3-0-0_095074_2001-03-12_final
2001-05-31 09:41:45	ga_ls7e_ard_3-0-0_095086_2001-05-31_final
2002-08-06 09:35:22	ga_ls7e_ard_3-0-0_095074_2002-08-06_final
2002-11-26 09:37:47	ga_ls7e_ard_3-0-0_095080_2002-11-26_final
2003-01-13 09:39:12	ga_ls7e_ard_3-0-0_095083_2003-01-13_final
2003-02-14 09:40:40	ga_ls7e_ard_3-0-0_095086_2003-02-14_final
2003-11-13 09:39:20	ga_ls7e_ard_3-0-0_095083_2003-11-13_final
2003-12-31 09:36:54	ga_ls7e_ard_3-0-0_095076_2003-12-31_final
2004-02-01 09:38:17	ga_ls7e_ard_3-1-0_095079_2004-02-01_final
2004-03-20 09:36:52	ga_ls7e_ard_3-0-0_095075_2004-03-20_final
2005-01-02 09:40:33	ga_ls7e_ard_3-0-0_095084_2005-01-02_final
2005-02-03 09:39:29	ga_ls7e_ard_3-0-0_095081_2005-02-03_final
2005-03-23 09:40:29	ga_ls7e_ard_3-0-0_095083_2005-03-23_final
2005-07-13 09:37:01	ga_ls7e_ard_3-0-0_095075_2005-07-13_final
2006-02-22 09:40:52	ga_ls7e_ard_3-0-0_095083_2006-02-22_final
2008-02-28 09:41:00	ga_ls7e_ard_3-0-0_095083_2008-02-28_final
2008-08-22 09:38:42	ga_ls7e_ard_3-0-0_095080_2008-08-22_final
2008-12-12 09:38:15	ga_ls7e_ard_3-0-0_095078_2008-12-12_final
2008-12-28 09:37:36	ga_ls7e_ard_3-0-0_095076_2008-12-28_final
2009-03-18 09:41:22	ga_ls7e_ard_3-0-0_095084_2009-03-18_final
2009-04-19 09:40:45	ga_ls7e_ard_3-0-0_095082_2009-04-19_final
2009-08-25 09:37:22	ga_ls7e_ard_3-0-0_095074_2009-08-25_final
2011-11-19 09:44:01	ga_ls7e_ard_3-0-0_095082_2011-11-19_final
2012-11-21 09:47:59	ga_ls7e_ard_3-0-0_095086_2012-11-21_final
2014-03-12 11:48:49	ga_ls7e_ard_3-0-0_115077_2014-03-12_final
2014-06-20 09:47:48	ga_ls7e_ard_3-0-0_095082_2014-06-20_final
2014-07-22 09:48:45	ga_ls7e_ard_3-0-0_095084_2014-07-22_final
2014-09-24 09:45:21	ga_ls7e_ard_3-0-0_095075_2014-09-24_final
2015-03-03 09:49:16	ga_ls7e_ard_3-0-0_095082_2015-03-03_final
2015-03-19 09:49:24	ga_ls7e_ard_3-0-0_095082_2015-03-19_final
2015-11-14 09:51:05	ga_ls7e_ard_3-0-0_095082_2015-11-14_final
2016-03-05 09:53:12	ga_ls7e_ard_3-0-0_095084_2016-03-05_final
2016-08-28 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-08-28_final
2016-10-31 09:53:28	ga_ls7e_ard_3-0-0_095083_2016-10-31_final
2018-01-06 09:49:18	ga_ls7e_ard_3-0-0_095074_2018-01-06_final
2018-03-27 09:51:50	ga_ls7e_ard_3-0-0_095083_2018-03-27_final
2018-07-17 09:45:54	ga_ls7e_ard_3-1-0_095073_2018-07-17_final
2018-08-18 09:48:07	ga_ls7e_ard_3-0-0_095080_2018-08-18_final
2019-03-14 09:43:47	ga_ls7e_ard_3-1-0_095083_2019-03-14_final
2019-05-17 09:41:52	ga_ls7e_ard_3-0-0_095084_2019-05-17_final
2019-07-20 09:35:29	ga_ls7e_ard_3-0-0_095074_2019-07-20_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2020-01-28 09:29:33	ga_ls7e_ard_3-1-0_095081_2020-01-27_final
2020-11-23 11:14:08	ga_ls7e_ard_3-1-0_115079_2020-11-23_final
2021-03-01 09:15:20	ga_ls7e_ard_3-2-0_097078_2021-02-28_final
2021-03-04 09:46:47	ga_ls7e_ard_3-2-0_102080_2021-03-04_final
2021-03-14 10:22:41	ga_ls7e_ard_3-2-0_108079_2021-03-14_final
2021-03-18 09:57:15	ga_ls7e_ard_3-2-0_104078_2021-03-18_final
2021-03-28 10:35:31	ga_ls7e_ard_3-2-0_110083_2021-03-28_final
2021-04-06 08:48:55	ga_ls7e_ard_3-2-0_093081_2021-04-05_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-08 10:12:05	ga_ls7e_ard_3-2-0_107073_2021-04-08_final
2021-04-16 09:26:22	ga_ls7e_ard_3-2-0_099084_2021-04-15_final
2021-04-18 09:09:26	ga_ls7e_ard_3-2-0_097073_2021-04-17_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-04-29 08:55:09	ga_ls7e_ard_3-2-0_094086_2021-04-28_final
2021-05-02 09:21:49	ga_ls7e_ard_3-2-0_099076_2021-05-01_final
2021-05-22 08:59:00	ga_ls7e_ard_3-2-0_095085_2021-05-21_final
2021-05-24 08:44:05	ga_ls7e_ard_3-2-0_093079_2021-05-23_final
2021-05-28 08:20:13	ga_ls7e_ard_3-2-0_089082_2021-05-27_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-07-08 09:45:31	ga_ls7e_ard_3-2-0_104072_2021-07-08_final
2021-07-10 09:33:47	ga_ls7e_ard_3-2-0_102074_2021-07-10_final
2021-07-11 08:39:41	ga_ls7e_ard_3-2-0_093078_2021-07-10_final
2021-08-09 09:41:56	ga_ls7e_ard_3-2-0_104070_2021-08-09_final
2021-08-09 09:42:44	ga_ls7e_ard_3-2-0_104072_2021-08-09_final
2021-08-21 10:10:23	ga_ls7e_ard_3-2-0_108082_2021-08-21_final
2021-09-03 09:37:34	ga_ls7e_ard_3-2-0_103080_2021-09-03_final
2021-09-04 08:39:52	ga_ls7e_ard_3-2-0_094075_2021-09-03_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-20 08:38:27	ga_ls7e_ard_3-2-0_094075_2021-09-19_final
2021-09-20 10:20:31	ga_ls7e_ard_3-2-0_110083_2021-09-20_final
2021-10-01 09:56:36	ga_ls7e_ard_3-2-0_107072_2021-10-01_final
2021-10-03 09:43:41	ga_ls7e_ard_3-2-0_105071_2021-10-03_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-06 10:18:42	ga_ls7e_ard_3-2-0_110082_2021-10-06_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-13 10:21:04	ga_ls7e_ard_3-2-0_111074_2021-10-13_final
2021-10-26 09:51:47	ga_ls7e_ard_3-2-0_106081_2021-10-26_final
2021-11-17 09:10:13	ga_ls7e_ard_3-2-1_100075_2021-11-16_final
2021-12-18 08:25:12	ga_ls7e_ard_3-2-1_093078_2021-12-17_final
2021-12-19 09:09:58	ga_ls7e_ard_3-2-1_100082_2021-12-18_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2022-01-05 08:11:26	ga_ls7e_ard_3-2-1_091079_2022-01-04_final
2022-01-08 08:39:40	ga_ls7e_ard_3-2-1_096073_2022-01-07_final
2022-01-10 08:31:31	ga_ls7e_ard_3-2-1_094084_2022-01-09_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-01-14 09:41:18	ga_ls7e_ard_3-2-1_106074_2022-01-14_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-02-03 09:17:50	ga_ls7e_ard_3-2-1_102082_2022-02-02_final
2022-02-06 09:47:37	ga_ls7e_ard_3-2-1_107080_2022-02-06_final
2022-02-09 08:40:32	ga_ls7e_ard_3-2-1_096083_2022-02-08_final
2022-02-11 10:02:03	ga_ls7e_ard_3-2-1_110071_2022-02-11_final
2022-02-18 10:12:43	ga_ls7e_ard_3-2-1_111084_2022-02-18_final
2022-02-27 10:01:41	ga_ls7e_ard_3-2-1_110074_2022-02-27_final
2022-03-03 09:36:35	ga_ls7e_ard_3-2-1_106074_2022-03-03_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-03-15 08:23:37	ga_ls7e_ard_3-2-1_094080_2022-03-14_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