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
2004-07-10 09:41:23	ga_ls7e_ard_3-0-0_095087_2004-07-10_final
2004-11-15 09:33:21	ga_ls7e_ard_3-0-0_095067_2004-11-15_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2005-08-30 09:33:38	ga_ls7e_ard_3-0-0_095067_2005-08-30_final
2005-08-30 09:39:37	ga_ls7e_ard_3-0-0_095082_2005-08-30_final
2006-11-05 09:37:00	ga_ls7e_ard_3-0-0_095074_2006-11-05_final
2006-11-21 09:36:48	ga_ls7e_ard_3-1-0_095073_2006-11-21_final
2006-12-07 09:34:32	ga_ls7e_ard_3-0-0_095067_2006-12-07_final
2007-03-13 09:34:56	ga_ls7e_ard_3-0-0_095067_2007-03-13_final
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2008-05-18 09:34:23	ga_ls7e_ard_3-0-0_095067_2008-05-18_final
2008-05-18 09:41:10	ga_ls7e_ard_3-0-0_095084_2008-05-18_final
2008-06-03 09:36:39	ga_ls7e_ard_3-1-0_095073_2008-06-03_final
2008-07-05 09:33:56	ga_ls7e_ard_3-0-0_095067_2008-07-05_final
2008-07-21 09:40:55	ga_ls7e_ard_3-0-0_095085_2008-07-21_final
2009-12-15 09:37:47	ga_ls7e_ard_3-1-0_095073_2009-12-15_final
2010-03-21 09:44:33	ga_ls7e_ard_3-0-0_095087_2010-03-21_final
2010-05-24 09:36:31	ga_ls7e_ard_3-0-0_095067_2010-05-24_final
2010-06-09 09:44:08	ga_ls7e_ard_3-0-0_095086_2010-06-09_final
2011-06-12 09:45:35	ga_ls7e_ard_3-0-0_095086_2011-06-12_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2012-07-16 09:39:12	ga_ls7e_ard_3-0-0_095067_2012-07-16_final
2013-03-13 09:40:33	ga_ls7e_ard_3-0-0_095067_2013-03-13_final
2013-06-17 09:47:39	ga_ls7e_ard_3-0-0_095086_2013-06-17_final
2014-10-10 09:49:32	ga_ls7e_ard_3-0-0_095085_2014-10-10_final
2015-02-15 09:50:40	ga_ls7e_ard_3-0-0_095086_2015-02-15_final
2015-04-04 09:51:30	ga_ls7e_ard_3-0-0_095087_2015-04-04_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2018-08-02 09:45:13	ga_ls7e_ard_3-0-0_095072_2018-08-02_final
2020-09-24 09:11:43	ga_ls7e_ard_3-1-0_095072_2020-09-23_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-15 09:02:26	ga_ls7e_ard_3-2-0_095074_2021-02-14_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-07 10:15:51	ga_ls7e_ard_3-2-0_107076_2021-03-07_final
2021-03-08 09:16:58	ga_ls7e_ard_3-2-0_098068_2021-03-07_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-04-01 10:07:16	ga_ls7e_ard_3-2-0_106075_2021-04-01_final
2021-04-13 08:51:43	ga_ls7e_ard_3-2-0_094074_2021-04-12_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-30 09:36:44	ga_ls7e_ard_3-2-0_101082_2021-04-30_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-13 08:58:46	ga_ls7e_ard_3-2-0_096067_2021-05-12_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-26 08:33:33	ga_ls7e_ard_3-2-0_091084_2021-05-25_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-05-30 09:42:34	ga_ls7e_ard_3-2-0_103072_2021-05-30_final
2021-06-01 09:34:25	ga_ls7e_ard_3-2-0_101083_2021-06-01_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-11 08:30:37	ga_ls7e_ard_3-2-0_091080_2021-06-10_final
2021-06-25 10:18:19	ga_ls7e_ard_3-2-0_109074_2021-06-25_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-22 08:23:23	ga_ls7e_ard_3-2-0_090086_2021-07-21_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-08-26 10:24:07	ga_ls7e_ard_3-2-0_111071_2021-08-26_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-08 09:52:05	ga_ls7e_ard_3-2-0_106071_2021-09-08_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-21 09:30:07	ga_ls7e_ard_3-2-0_103072_2021-10-21_final
2021-10-25 10:46:42	ga_ls7e_ard_3-2-0_115079_2021-10-25_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-03 09:02:48	ga_ls7e_ard_3-2-0_098084_2021-11-02_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2021-12-22 09:37:23	ga_ls7e_ard_3-2-1_105074_2021-12-22_final
2021-12-22 09:40:34	ga_ls7e_ard_3-2-1_105082_2021-12-22_final
2021-12-28 10:39:23	ga_ls7e_ard_3-2-1_115076_2021-12-28_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2021-12-30 08:49:56	ga_ls7e_ard_3-2-1_097081_2021-12-29_final
2022-01-06 08:51:01	ga_ls7e_ard_3-2-1_098070_2022-01-05_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-07 08:48:19	ga_ls7e_ard_3-2-1_098071_2022-02-06_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-15 09:41:18	ga_ls7e_ard_3-2-1_106082_2022-02-15_final
2022-02-28 09:09:34	ga_ls7e_ard_3-2-1_101083_2022-02-27_final
2022-03-01 09:48:20	ga_ls7e_ard_3-2-1_108072_2022-03-01_final
2022-03-02 08:50:38	ga_ls7e_ard_3-2-1_099067_2022-03-01_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_2022-03-19_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_2022-03-22_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-03-27 10:26:04	ga_ls7e_ard_3-2-1_114080_2022-03-27_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_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