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
1999-09-08 09:31:08	ga_ls7e_ard_3-1-0_094067_1999-09-08_final
1999-09-17 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-09-17_final
2000-08-25 09:29:12	ga_ls7e_ard_3-1-0_094067_2000-08-24_final
2000-12-15 11:09:31	ga_ls7e_ard_3-1-0_110072_2000-12-15_final
2001-04-10 10:45:40	ga_ls7e_ard_3-1-0_106075_2001-04-10_final
2001-05-12 10:45:31	ga_ls7e_ard_3-1-0_106075_2001-05-12_final
2003-03-15 09:09:25	ga_ls7e_ard_3-1-0_090085_2003-03-14_final
2003-03-27 09:26:52	ga_ls7e_ard_3-1-0_094067_2003-03-26_final
2003-08-27 09:28:00	ga_ls7e_ard_3-1-0_093086_2003-08-26_final
2003-09-23 09:10:53	ga_ls7e_ard_3-1-0_090090_2003-09-22_final
2004-05-28 09:57:17	ga_ls7e_ard_3-1-0_098080_2004-05-28_final
2004-06-29 09:57:09	ga_ls7e_ard_3-1-0_098080_2004-06-29_final
2004-08-01 09:01:45	ga_ls7e_ard_3-1-0_089081_2004-07-31_final
2004-08-29 11:05:16	ga_ls7e_ard_3-1-0_109081_2004-08-29_final
2004-10-04 09:01:28	ga_ls7e_ard_3-1-0_089081_2004-10-03_final
2005-04-05 09:10:20	ga_ls7e_ard_3-1-0_090085_2005-04-04_final
2005-12-04 09:36:24	ga_ls7e_ard_3-1-0_095073_2005-12-04_final
2006-01-04 10:31:00	ga_ls7e_ard_3-1-0_104070_2006-01-04_final
2006-05-13 11:19:21	ga_ls7e_ard_3-1-0_111082_2006-05-13_final
2006-08-01 09:36:29	ga_ls7e_ard_3-1-0_095073_2006-08-01_final
2007-01-06 09:50:35	ga_ls7e_ard_3-1-0_097076_2007-01-06_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-03-29 11:19:49	ga_ls7e_ard_3-1-0_111082_2007-03-29_final
2007-05-13 10:45:58	ga_ls7e_ard_3-1-0_106075_2007-05-13_final
2007-07-09 09:03:08	ga_ls7e_ard_3-1-0_089081_2007-07-08_final
2008-07-18 09:10:03	ga_ls7e_ard_3-1-0_090085_2008-07-17_final
2008-09-16 11:08:00	ga_ls7e_ard_3-1-0_110072_2008-09-16_final
2010-10-01 09:27:51	ga_ls7e_ard_3-1-0_093076_2010-09-30_final
2010-12-04 09:32:58	ga_ls7e_ard_3-1-0_093087_2010-12-04_final
2011-06-19 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-06-19_final
2012-03-09 10:35:18	ga_ls7e_ard_3-1-0_104070_2012-03-09_final
2012-11-11 09:12:00	ga_ls7e_ard_3-1-0_089089_2012-11-10_final
2013-01-21 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-01-21_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2013-07-28 09:33:30	ga_ls7e_ard_3-1-0_094067_2013-07-28_final
2013-08-01 10:50:50	ga_ls7e_ard_3-1-0_106075_2013-08-01_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-07-12 09:13:38	ga_ls7e_ard_3-1-0_089089_2014-07-11_final
2014-10-03 11:17:00	ga_ls7e_ard_3-1-0_110072_2014-10-03_final
2014-10-15 10:06:06	ga_ls7e_ard_3-1-0_098080_2014-10-15_final
2014-10-19 11:17:08	ga_ls7e_ard_3-1-0_110072_2014-10-19_final
2015-12-31 10:42:37	ga_ls7e_ard_3-1-0_104070_2015-12-31_final
2016-05-01 11:21:29	ga_ls7e_ard_3-1-0_110072_2016-05-01_final
2016-09-06 11:21:48	ga_ls7e_ard_3-1-0_110072_2016-09-06_final
2016-11-16 09:49:20	ga_ls7e_ard_3-1-0_095073_2016-11-16_final
2017-01-16 10:58:31	ga_ls7e_ard_3-1-0_106077_2017-01-16_final
2017-06-05 11:21:41	ga_ls7e_ard_3-1-0_110072_2017-06-05_final
2017-08-08 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-08-08_final
2017-09-25 09:47:12	ga_ls7e_ard_3-1-0_094083_2017-09-25_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2018-01-15 11:21:04	ga_ls7e_ard_3-1-0_110072_2018-01-15_final
2018-07-01 11:28:41	ga_ls7e_ard_3-1-0_111082_2018-07-01_final
2018-09-12 11:17:06	ga_ls7e_ard_3-1-0_110072_2018-09-12_final
2019-02-16 09:06:43	ga_ls7e_ard_3-1-0_089081_2019-02-15_final
2019-02-23 09:13:53	ga_ls7e_ard_3-1-0_090084_2019-02-22_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-21 11:28:37	ga_ls7e_ard_3-1-0_112083_2019-03-21_final
2019-08-26 09:50:54	ga_ls7e_ard_3-1-0_098070_2019-08-26_final
2019-08-30 09:27:12	ga_ls7e_ard_3-1-0_094073_2019-08-29_final
2019-09-13 11:22:14	ga_ls7e_ard_3-1-0_112084_2019-09-13_final
2019-09-24 10:59:12	ga_ls7e_ard_3-1-0_109074_2019-09-24_final
2019-09-24 10:59:36	ga_ls7e_ard_3-1-0_109075_2019-09-24_final
2019-10-01 11:05:06	ga_ls7e_ard_3-1-0_110074_2019-10-01_final
2019-10-04 10:00:59	ga_ls7e_ard_3-1-0_099084_2019-10-04_final
2019-10-08 11:10:59	ga_ls7e_ard_3-1-0_111074_2019-10-08_final
2019-10-30 08:57:41	ga_ls7e_ard_3-1-0_089083_2019-10-29_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2019-11-11 10:55:57	ga_ls7e_ard_3-1-0_109071_2019-11-11_final
2019-11-12 10:05:04	ga_ls7e_ard_3-1-0_100083_2019-11-12_final
2019-11-14 09:47:02	ga_ls7e_ard_3-1-0_098069_2019-11-14_final
2019-11-14 11:28:18	ga_ls7e_ard_3-1-0_114075_2019-11-14_final
2019-11-29 10:42:20	ga_ls7e_ard_3-1-0_107070_2019-11-29_final
2019-12-04 09:22:57	ga_ls7e_ard_3-1-0_094073_2019-12-03_final
2019-12-04 11:05:25	ga_ls7e_ard_3-1-0_110082_2019-12-04_final
2019-12-08 10:40:30	ga_ls7e_ard_3-1-0_106082_2019-12-08_final
2019-12-14 10:01:32	ga_ls7e_ard_3-1-0_100078_2019-12-14_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2020-01-01 09:44:39	ga_ls7e_ard_3-1-0_098069_2020-01-01_final
2020-01-01 09:51:02	ga_ls7e_ard_3-1-0_098085_2020-01-01_final
2020-01-16 10:40:42	ga_ls7e_ard_3-1-0_107072_2020-01-16_final
2020-01-20 10:15:23	ga_ls7e_ard_3-1-0_103071_2020-01-20_final
2020-01-21 10:57:00	ga_ls7e_ard_3-1-0_110067_2020-01-21_final
2020-01-30 10:51:34	ga_ls7e_ard_3-1-0_109070_2020-01-30_final
2020-02-02 09:45:50	ga_ls7e_ard_3-1-0_098076_2020-02-02_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-02-17 10:39:53	ga_ls7e_ard_3-1-0_107074_2020-02-17_final
2020-02-18 11:25:53	ga_ls7e_ard_3-1-0_114081_2020-02-18_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-03-09 11:00:54	ga_ls7e_ard_3-1-0_110083_2020-03-09_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2020-04-21 10:37:32	ga_ls7e_ard_3-1-0_107077_2020-04-21_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-24 09:53:03	ga_ls7e_ard_3-2-1_109074_2022-03-24_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_final
2022-04-02 09:46:25	ga_ls7e_ard_3-2-1_108075_2022-04-02_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_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