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
1999-07-02 11:38:56	ga_ls7e_ard_3-0-0_114078_1999-07-02_final
2000-02-02 11:44:23	ga_ls7e_ard_3-0-0_115076_2000-02-02_final
2001-05-04 11:36:41	ga_ls7e_ard_3-0-0_114079_2001-05-04_final
2003-03-23 11:34:53	ga_ls7e_ard_3-0-0_114078_2003-03-23_final
2003-10-01 11:34:24	ga_ls7e_ard_3-0-0_114078_2003-10-01_final
2004-06-29 11:35:38	ga_ls7e_ard_3-0-0_114079_2004-06-29_final
2005-08-03 11:36:25	ga_ls7e_ard_3-0-0_114080_2005-08-03_final
2007-07-08 11:36:27	ga_ls7e_ard_3-0-0_114078_2007-07-08_final
2007-08-25 11:36:11	ga_ls7e_ard_3-0-0_114078_2007-08-25_final
2008-02-01 11:36:57	ga_ls7e_ard_3-0-0_114079_2008-02-01_final
2008-05-14 11:42:00	ga_ls7e_ard_3-1-0_115077_2008-05-14_final
2009-07-13 11:36:33	ga_ls7e_ard_3-0-0_114078_2009-07-13_final
2009-10-01 11:36:20	ga_ls7e_ard_3-0-0_114078_2009-10-01_final
2010-08-01 11:39:14	ga_ls7e_ard_3-0-0_114080_2010-08-01_final
2010-09-02 11:38:30	ga_ls7e_ard_3-0-0_114078_2010-09-02_final
2012-04-23 11:46:14	ga_ls7e_ard_3-1-0_115077_2012-04-23_final
2012-07-28 11:46:55	ga_ls7e_ard_3-1-0_115077_2012-07-28_final
2013-02-21 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-02-21_final
2014-02-01 11:42:18	ga_ls7e_ard_3-0-0_114076_2014-02-01_final
2014-04-13 11:48:39	ga_ls7e_ard_3-0-0_115076_2014-04-13_final
2015-02-04 11:45:19	ga_ls7e_ard_3-0-0_114079_2015-02-04_final
2015-02-20 11:45:23	ga_ls7e_ard_3-0-0_114079_2015-02-20_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-11-19 11:47:24	ga_ls7e_ard_3-0-0_114079_2015-11-19_final
2016-02-23 11:47:18	ga_ls7e_ard_3-0-0_114076_2016-02-23_final
2016-09-25 11:54:45	ga_ls7e_ard_3-1-0_115077_2016-09-25_final
2020-09-20 11:17:11	ga_ls7e_ard_3-1-0_115076_2020-09-20_final
2020-10-06 11:16:10	ga_ls7e_ard_3-1-0_115076_2020-10-06_final
2020-11-26 10:05:32	ga_ls7e_ard_3-1-0_104078_2020-11-26_final
2020-11-27 09:08:39	ga_ls7e_ard_3-1-0_095075_2020-11-26_final
2020-11-27 10:49:56	ga_ls7e_ard_3-1-0_111081_2020-11-27_final
2020-11-29 10:36:13	ga_ls7e_ard_3-1-0_109078_2020-11-29_final
2020-12-02 09:26:50	ga_ls7e_ard_3-1-0_098075_2020-12-01_final
2020-12-13 09:09:52	ga_ls7e_ard_3-1-0_095081_2020-12-12_final
2020-12-15 08:54:33	ga_ls7e_ard_3-1-0_093074_2020-12-14_final
2020-12-15 10:36:14	ga_ls7e_ard_3-1-0_109081_2020-12-15_final
2020-12-30 09:49:53	ga_ls7e_ard_3-1-0_102076_2020-12-30_final
2021-01-03 09:24:53	ga_ls7e_ard_3-1-0_098076_2021-01-02_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-02-03 08:41:48	ga_ls7e_ard_3-2-0_091082_2021-02-02_final
2021-02-03 10:18:41	ga_ls7e_ard_3-2-0_107077_2021-02-03_final
2021-02-17 10:30:48	ga_ls7e_ard_3-2-0_109079_2021-02-17_final
2021-02-18 09:36:18	ga_ls7e_ard_3-2-0_100082_2021-02-18_final
2021-02-26 08:46:15	ga_ls7e_ard_3-2-0_092082_2021-02-25_final
2021-03-01 09:17:19	ga_ls7e_ard_3-2-0_097083_2021-02-28_final
2021-03-03 09:04:48	ga_ls7e_ard_3-2-0_095083_2021-03-02_final
2021-03-07 08:39:46	ga_ls7e_ard_3-2-0_091083_2021-03-06_final
2021-03-12 10:33:12	ga_ls7e_ard_3-2-0_110074_2021-03-12_final
2021-03-12 10:35:36	ga_ls7e_ard_3-2-0_110080_2021-03-12_final
2021-03-28 10:34:19	ga_ls7e_ard_3-2-0_110080_2021-03-28_final
2021-03-29 09:35:25	ga_ls7e_ard_3-2-0_101072_2021-03-29_final
2021-04-04 09:02:14	ga_ls7e_ard_3-2-0_095083_2021-04-03_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-11 09:03:51	ga_ls7e_ard_3-2-0_096073_2021-04-10_final
2021-04-22 08:50:22	ga_ls7e_ard_3-2-0_093088_2021-04-21_final
2021-05-01 10:15:55	ga_ls7e_ard_3-2-0_108072_2021-05-01_final
2021-05-06 10:36:26	ga_ls7e_ard_3-2-0_111078_2021-05-06_final
2021-05-10 10:12:11	ga_ls7e_ard_3-2-0_107080_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-22 08:57:24	ga_ls7e_ard_3-2-0_095081_2021-05-21_final
2021-05-22 10:33:30	ga_ls7e_ard_3-2-0_111074_2021-05-22_final
2021-06-06 09:50:57	ga_ls7e_ard_3-2-0_104079_2021-06-06_final
2021-06-12 10:51:28	ga_ls7e_ard_3-2-0_114077_2021-06-12_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-29 09:51:16	ga_ls7e_ard_3-2-0_105069_2021-06-29_final
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-06 08:24:46	ga_ls7e_ard_3-2-0_090086_2021-07-05_final
2021-07-06 10:01:14	ga_ls7e_ard_3-2-0_106080_2021-07-06_final
2021-07-07 10:44:01	ga_ls7e_ard_3-2-0_113079_2021-07-07_final
2021-07-08 09:43:55	ga_ls7e_ard_3-2-0_104068_2021-07-08_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-28 09:19:52	ga_ls7e_ard_3-2-0_100074_2021-07-27_final
2021-07-29 10:07:02	ga_ls7e_ard_3-2-0_107084_2021-07-29_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-18 09:35:21	ga_ls7e_ard_3-2-0_103071_2021-08-18_final
2021-08-25 09:40:08	ga_ls7e_ard_3-2-0_104069_2021-08-25_final
2021-09-09 09:01:34	ga_ls7e_ard_3-2-0_097084_2021-09-08_final
2021-09-22 10:03:59	ga_ls7e_ard_3-2-0_108073_2021-09-22_final
2021-10-01 09:57:48	ga_ls7e_ard_3-2-0_107075_2021-10-01_final
2021-10-06 10:15:07	ga_ls7e_ard_3-2-0_110073_2021-10-06_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-10-16 09:16:01	ga_ls7e_ard_3-2-0_100082_2021-10-15_final
2021-10-24 08:23:52	ga_ls7e_ard_3-2-0_092077_2021-10-23_final
2021-10-31 10:08:40	ga_ls7e_ard_3-2-0_109078_2021-10-31_final
2021-11-06 09:30:14	ga_ls7e_ard_3-2-0_103076_2021-11-06_final
2021-11-15 09:20:23	ga_ls7e_ard_3-2-1_102069_2021-11-14_final
2021-11-27 09:45:32	ga_ls7e_ard_3-2-1_106073_2021-11-27_final
2021-12-30 10:26:49	ga_ls7e_ard_3-2-1_113076_2021-12-30_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-12 08:16:34	ga_ls7e_ard_3-2-1_092078_2022-01-11_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-02-15 08:02:25	ga_ls7e_ard_3-2-1_090082_2022-02-14_final
2022-02-20 08:20:53	ga_ls7e_ard_3-2-1_093083_2022-02-19_final
2022-02-21 09:02:51	ga_ls7e_ard_3-2-1_100080_2022-02-20_final
2022-02-27 10:04:29	ga_ls7e_ard_3-2-1_110081_2022-02-27_final
2022-03-01 09:52:20	ga_ls7e_ard_3-2-1_108082_2022-03-01_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years