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
1999-12-04 09:43:14	ga_ls7e_ard_3-0-0_095082_1999-12-04_final
2000-10-03 09:42:25	ga_ls7e_ard_3-0-0_095086_2000-10-03_final
2002-07-21 09:38:41	ga_ls7e_ard_3-0-0_095082_2002-07-21_final
2003-07-20 11:40:33	ga_ls7e_ard_3-1-0_115077_2003-07-20_final
2004-05-19 11:41:11	ga_ls7e_ard_3-1-0_115077_2004-05-19_final
2004-11-15 09:38:32	ga_ls7e_ard_3-0-0_095080_2004-11-15_final
2005-01-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2005-01-02_final
2005-03-23 09:39:17	ga_ls7e_ard_3-0-0_095080_2005-03-23_final
2005-05-10 09:40:48	ga_ls7e_ard_3-0-0_095084_2005-05-10_final
2005-05-26 09:35:59	ga_ls7e_ard_3-0-0_095072_2005-05-26_final
2005-08-10 11:42:10	ga_ls7e_ard_3-0-0_115079_2005-08-10_final
2006-03-26 09:37:41	ga_ls7e_ard_3-0-0_095075_2006-03-26_final
2007-04-14 09:40:54	ga_ls7e_ard_3-0-0_095082_2007-04-14_final
2007-06-01 09:39:51	ga_ls7e_ard_3-0-0_095080_2007-06-01_final
2008-01-11 09:40:21	ga_ls7e_ard_3-0-0_095081_2008-01-11_final
2008-02-28 09:40:12	ga_ls7e_ard_3-0-0_095081_2008-02-28_final
2008-03-31 09:40:32	ga_ls7e_ard_3-0-0_095082_2008-03-31_final
2008-09-03 11:41:01	ga_ls7e_ard_3-1-0_115077_2008-09-03_final
2009-01-13 09:40:29	ga_ls7e_ard_3-0-0_095083_2009-01-13_final
2009-03-30 11:41:28	ga_ls7e_ard_3-0-0_115075_2009-03-30_final
2009-10-28 09:41:09	ga_ls7e_ard_3-0-0_095083_2009-10-28_final
2009-11-09 11:42:32	ga_ls7e_ard_3-0-0_115077_2009-11-09_final
2011-07-14 09:41:31	ga_ls7e_ard_3-0-0_095076_2011-07-14_final
2012-02-07 09:41:18	ga_ls7e_ard_3-0-0_095074_2012-02-07_final
2012-03-26 09:44:55	ga_ls7e_ard_3-0-0_095083_2012-03-26_final
2012-07-16 09:39:12	ga_ls7e_ard_3-0-0_095067_2012-07-16_final
2012-10-04 09:42:49	ga_ls7e_ard_3-0-0_095074_2012-10-04_final
2012-10-16 11:47:21	ga_ls7e_ard_3-0-0_115076_2012-10-16_final
2013-06-13 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-06-13_final
2013-08-04 09:42:03	ga_ls7e_ard_3-1-0_095073_2013-08-04_final
2013-11-08 09:42:57	ga_ls7e_ard_3-1-0_095073_2013-11-08_final
2014-11-27 09:48:43	ga_ls7e_ard_3-0-0_095082_2014-11-27_final
2016-04-22 09:53:31	ga_ls7e_ard_3-0-0_095084_2016-04-22_final
2016-06-09 09:49:20	ga_ls7e_ard_3-1-0_095073_2016-06-09_final
2016-09-29 09:51:33	ga_ls7e_ard_3-0-0_095078_2016-09-29_final
2017-12-21 09:51:06	ga_ls7e_ard_3-0-0_095078_2017-12-21_final
2018-05-30 09:51:11	ga_ls7e_ard_3-0-0_095084_2018-05-30_final
2018-12-24 09:45:52	ga_ls7e_ard_3-0-0_095082_2018-12-24_final
2019-08-05 09:35:14	ga_ls7e_ard_3-0-0_095075_2019-08-05_final
2019-09-02 11:38:27	ga_ls7e_ard_3-1-0_115077_2019-09-02_final
2019-12-27 09:32:21	ga_ls7e_ard_3-1-0_095084_2019-12-27_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-03-14 08:43:24	ga_ls7e_ard_3-2-0_092078_2021-03-13_final
2021-03-17 10:54:33	ga_ls7e_ard_3-2-0_113082_2021-03-17_final
2021-03-23 10:16:11	ga_ls7e_ard_3-2-0_107080_2021-03-23_final
2021-03-26 10:44:51	ga_ls7e_ard_3-2-0_112075_2021-03-26_final
2021-03-26 10:47:38	ga_ls7e_ard_3-2-0_112082_2021-03-26_final
2021-03-30 08:41:43	ga_ls7e_ard_3-2-0_092077_2021-03-29_final
2021-04-08 10:12:52	ga_ls7e_ard_3-2-0_107075_2021-04-08_final
2021-04-18 10:51:07	ga_ls7e_ard_3-2-0_113080_2021-04-18_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-04-29 10:31:38	ga_ls7e_ard_3-2-0_110080_2021-04-29_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-28 08:20:37	ga_ls7e_ard_3-2-0_089083_2021-05-27_final
2021-05-31 08:51:39	ga_ls7e_ard_3-2-0_094084_2021-05-30_final
2021-06-07 08:57:39	ga_ls7e_ard_3-2-0_095085_2021-06-06_final
2021-06-26 09:22:36	ga_ls7e_ard_3-2-0_100074_2021-06-25_final
2021-07-02 10:22:42	ga_ls7e_ard_3-2-0_110071_2021-07-02_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-26 09:32:01	ga_ls7e_ard_3-2-0_102073_2021-07-26_final
2021-07-29 08:27:46	ga_ls7e_ard_3-2-0_091083_2021-07-28_final
2021-08-07 09:54:05	ga_ls7e_ard_3-2-0_106069_2021-08-07_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-09-05 09:25:50	ga_ls7e_ard_3-2-0_101082_2021-09-04_final
2021-09-08 08:16:24	ga_ls7e_ard_3-2-0_090079_2021-09-07_final
2021-09-08 08:19:11	ga_ls7e_ard_3-2-0_090086_2021-09-07_final
2021-09-10 09:43:56	ga_ls7e_ard_3-2-0_104082_2021-09-10_final
2021-09-22 10:05:11	ga_ls7e_ard_3-2-0_108076_2021-09-22_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-09-27 10:24:52	ga_ls7e_ard_3-2-0_111080_2021-09-27_final
2021-09-30 09:17:01	ga_ls7e_ard_3-2-0_100081_2021-09-29_final
2021-10-08 08:27:17	ga_ls7e_ard_3-2-0_092082_2021-10-07_final
2021-10-13 10:23:52	ga_ls7e_ard_3-2-0_111081_2021-10-13_final
2021-10-21 09:33:18	ga_ls7e_ard_3-2-0_103080_2021-10-21_final
2021-11-10 10:44:00	ga_ls7e_ard_3-2-0_115076_2021-11-10_final
2021-11-10 10:45:12	ga_ls7e_ard_3-2-0_115079_2021-11-10_final
2021-11-12 08:50:34	ga_ls7e_ard_3-2-0_097071_2021-11-11_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2021-11-21 08:44:18	ga_ls7e_ard_3-2-1_096073_2021-11-20_final
2021-11-21 10:24:23	ga_ls7e_ard_3-2-1_112076_2021-11-21_final
2021-12-04 08:18:34	ga_ls7e_ard_3-2-1_091089_2021-12-03_final
2021-12-12 09:03:40	ga_ls7e_ard_3-2-1_099080_2021-12-11_final
2021-12-12 09:04:51	ga_ls7e_ard_3-2-1_099083_2021-12-11_final
2021-12-23 08:45:39	ga_ls7e_ard_3-2-1_096084_2021-12-22_final
2021-12-23 10:24:08	ga_ls7e_ard_3-2-1_112083_2021-12-23_final
2022-01-12 09:55:51	ga_ls7e_ard_3-2-1_108079_2022-01-12_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-01-30 09:40:57	ga_ls7e_ard_3-2-1_106077_2022-01-30_final
2022-02-11 08:28:22	ga_ls7e_ard_3-2-1_094084_2022-02-10_final
2022-02-13 09:50:17	ga_ls7e_ard_3-2-1_108073_2022-02-13_final
2022-02-17 09:26:45	ga_ls7e_ard_3-2-1_104077_2022-02-16_final
2022-02-21 09:01:15	ga_ls7e_ard_3-2-1_100076_2022-02-20_final
2022-02-27 08:25:36	ga_ls7e_ard_3-2-1_094081_2022-02-26_final
2022-03-10 09:40:52	ga_ls7e_ard_3-2-1_107071_2022-03-10_final
2022-03-14 09:16:32	ga_ls7e_ard_3-2-1_103073_2022-03-13_final
2022-03-22 08:30:19	ga_ls7e_ard_3-2-1_095083_2022-03-21_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-02 09:46:01	ga_ls7e_ard_3-2-1_108074_2022-04-02_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