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
2000-11-02 11:32:48	ga_ls7e_ard_3-1-0_113084_2000-11-02_final
2001-07-27 09:33:02	ga_ls7e_ard_3-0-0_094081_2001-07-27_final
2002-08-27 09:57:19	ga_ls7e_ard_3-1-0_098083_2002-08-27_final
2004-04-02 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-04-01_final
2004-08-15 09:12:29	ga_ls7e_ard_3-1-0_091077_2004-08-14_final
2004-09-14 09:27:04	ga_ls7e_ard_3-1-0_093083_2004-09-13_final
2004-09-21 09:32:50	ga_ls7e_ard_3-0-0_094082_2004-09-21_final
2005-02-07 09:16:48	ga_ls7e_ard_3-1-0_091086_2005-02-06_final
2006-11-30 11:09:11	ga_ls7e_ard_3-1-0_110072_2006-11-30_final
2006-12-16 09:31:12	ga_ls7e_ard_3-0-0_094074_2006-12-16_final
2006-12-28 11:37:14	ga_ls7e_ard_3-0-0_114080_2006-12-28_final
2007-05-21 11:35:21	ga_ls7e_ard_3-0-0_114075_2007-05-21_final
2008-02-14 09:27:31	ga_ls7e_ard_3-0-0_093080_2008-02-13_final
2008-12-23 11:00:18	ga_ls7e_ard_3-1-0_108082_2008-12-23_final
2009-04-21 09:26:48	ga_ls7e_ard_3-0-0_093078_2009-04-20_final
2009-07-05 10:45:57	ga_ls7e_ard_3-1-0_106075_2009-07-05_final
2009-12-08 09:31:29	ga_ls7e_ard_3-0-0_094073_2009-12-08_final
2010-05-21 09:12:48	ga_ls7e_ard_3-1-0_090085_2010-05-20_final
2010-08-21 09:37:39	ga_ls7e_ard_3-0-0_094085_2010-08-21_final
2011-01-15 11:45:18	ga_ls7e_ard_3-1-0_115077_2011-01-15_final
2011-03-17 09:38:34	ga_ls7e_ard_3-0-0_094084_2011-03-17_final
2011-07-03 11:39:21	ga_ls7e_ard_3-0-0_114077_2011-07-03_final
2012-02-09 09:29:21	ga_ls7e_ard_3-0-0_093075_2012-02-08_final
2012-05-31 09:34:05	ga_ls7e_ard_3-0-0_093086_2012-05-31_final
2012-08-17 09:41:57	ga_ls7e_ard_3-1-0_095073_2012-08-17_final
2012-09-11 09:41:37	ga_ls7e_ard_3-0-0_094087_2012-09-11_final
2012-09-20 09:34:42	ga_ls7e_ard_3-0-0_093085_2012-09-20_final
2012-10-29 09:41:15	ga_ls7e_ard_3-0-0_094085_2012-10-29_final
2013-04-16 09:33:13	ga_ls7e_ard_3-0-0_093080_2013-04-16_final
2013-11-01 09:38:17	ga_ls7e_ard_3-0-0_094077_2013-11-01_final
2015-07-02 11:18:45	ga_ls7e_ard_3-1-0_110072_2015-07-02_final
2015-07-18 09:40:46	ga_ls7e_ard_3-0-0_094074_2015-07-18_final
2016-01-22 11:48:44	ga_ls7e_ard_3-0-0_114080_2016-01-22_final
2016-03-30 09:47:58	ga_ls7e_ard_3-0-0_094086_2016-03-30_final
2016-05-01 09:47:47	ga_ls7e_ard_3-0-0_094085_2016-05-01_final
2016-06-11 09:41:46	ga_ls7e_ard_3-0-0_093085_2016-06-11_final
2017-03-15 10:00:21	ga_ls7e_ard_3-1-0_096086_2017-03-15_final
2017-05-29 09:37:23	ga_ls7e_ard_3-0-0_093074_2017-05-29_final
2018-03-24 09:21:47	ga_ls7e_ard_3-1-0_090085_2018-03-23_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2019-05-01 09:40:29	ga_ls7e_ard_3-1-0_095079_2019-05-01_final
2019-05-26 09:34:33	ga_ls7e_ard_3-0-0_094082_2019-05-26_final
2019-09-11 09:49:49	ga_ls7e_ard_3-1-0_098069_2019-09-11_final
2019-09-22 11:11:15	ga_ls7e_ard_3-1-0_111073_2019-09-22_final
2019-09-26 09:08:40	ga_ls7e_ard_3-1-0_091076_2019-09-25_final
2019-10-03 09:18:34	ga_ls7e_ard_3-1-0_092086_2019-10-02_final
2019-10-05 10:40:13	ga_ls7e_ard_3-1-0_106074_2019-10-05_final
2019-10-21 10:39:08	ga_ls7e_ard_3-1-0_106073_2019-10-21_final
2019-11-23 11:23:42	ga_ls7e_ard_3-1-0_113080_2019-11-23_final
2019-11-26 10:12:23	ga_ls7e_ard_3-1-0_102072_2019-11-26_final
2019-12-01 10:29:53	ga_ls7e_ard_3-1-0_105070_2019-12-01_final
2019-12-03 10:16:37	ga_ls7e_ard_3-1-0_103068_2019-12-03_final
2019-12-11 11:05:40	ga_ls7e_ard_3-1-0_111068_2019-12-11_final
2019-12-12 10:15:11	ga_ls7e_ard_3-1-0_102081_2019-12-12_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2019-12-23 11:33:22	ga_ls7e_ard_3-1-0_115077_2019-12-23_final
2020-01-02 08:55:45	ga_ls7e_ard_3-1-0_089086_2020-01-01_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-02-20 09:35:44	ga_ls7e_ard_3-1-0_096084_2020-02-20_final
2020-03-13 08:57:53	ga_ls7e_ard_3-1-0_090085_2020-03-12_final
2020-03-17 10:05:50	ga_ls7e_ard_3-1-0_102070_2020-03-17_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-03-21 09:44:29	ga_ls7e_ard_3-1-0_098079_2020-03-21_final
2020-03-25 10:56:01	ga_ls7e_ard_3-1-0_110073_2020-03-25_final
2020-03-27 10:43:33	ga_ls7e_ard_3-1-0_108073_2020-03-27_final
2020-03-29 08:58:11	ga_ls7e_ard_3-1-0_090088_2020-03-28_final
2020-04-17 11:01:17	ga_ls7e_ard_3-1-0_111074_2020-04-17_final
2020-05-12 09:17:31	ga_ls7e_ard_3-1-0_094081_2020-05-11_final
2020-05-16 08:54:09	ga_ls7e_ard_3-1-0_090085_2020-05-15_final
2020-06-14 09:54:49	ga_ls7e_ard_3-1-0_101071_2020-06-14_final
2020-06-26 10:17:38	ga_ls7e_ard_3-1-0_105068_2020-06-26_final
2020-06-29 10:50:21	ga_ls7e_ard_3-1-0_110073_2020-06-29_final
2020-07-04 11:12:59	ga_ls7e_ard_3-1-0_113084_2020-07-04_final
2020-07-06 10:56:55	ga_ls7e_ard_3-1-0_111075_2020-07-06_final
2020-07-10 10:34:44	ga_ls7e_ard_3-1-0_107082_2020-07-10_final
2020-07-13 09:21:47	ga_ls7e_ard_3-1-0_096070_2020-07-12_final
2020-07-20 09:31:56	ga_ls7e_ard_3-1-0_097081_2020-07-20_final
2020-08-01 09:54:18	ga_ls7e_ard_3-1-0_101077_2020-08-01_final
2021-02-26 10:24:44	ga_ls7e_ard_3-2-0_108081_2021-02-26_final
2021-03-28 10:31:31	ga_ls7e_ard_3-2-0_110073_2021-03-28_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-09 09:17:34	ga_ls7e_ard_3-2-0_098076_2021-04-08_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-07 10:29:21	ga_ls7e_ard_3-2-0_111067_2021-06-07_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-07-06 09:57:39	ga_ls7e_ard_3-2-0_106071_2021-07-06_final
2021-07-27 08:38:18	ga_ls7e_ard_3-2-0_093078_2021-07-26_final
2021-08-05 10:12:36	ga_ls7e_ard_3-2-0_108084_2021-08-05_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-23 08:17:47	ga_ls7e_ard_3-2-0_090079_2021-08-22_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-10-09 10:47:21	ga_ls7e_ard_3-2-0_115077_2021-10-09_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-12-24 09:26:25	ga_ls7e_ard_3-2-1_103078_2021-12-23_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-01-22 10:30:23	ga_ls7e_ard_3-2-1_114075_2022-01-22_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_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