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
1999-07-08 09:25:25	ga_ls7e_ard_3-1-0_092084_1999-07-07_final
2002-03-08 09:35:08	ga_ls7e_ard_3-0-0_094087_2002-03-08_final
2002-11-23 10:43:44	ga_ls7e_ard_3-1-0_106075_2002-11-23_final
2003-12-08 09:33:44	ga_ls7e_ard_3-0-0_094084_2003-12-08_final
2004-03-04 11:18:27	ga_ls7e_ard_3-1-0_111082_2004-03-04_final
2005-02-25 09:02:34	ga_ls7e_ard_3-1-0_089081_2005-02-24_final
2005-05-08 09:49:58	ga_ls7e_ard_3-1-0_097076_2005-05-08_final
2005-06-05 10:14:12	ga_ls7e_ard_3-1-0_101075_2005-06-05_final
2005-09-28 09:09:46	ga_ls7e_ard_3-1-0_090085_2005-09-27_final
2006-07-09 11:08:57	ga_ls7e_ard_3-1-0_110072_2006-07-09_final
2006-08-27 10:14:19	ga_ls7e_ard_3-1-0_101075_2006-08-27_final
2006-12-07 09:36:56	ga_ls7e_ard_3-1-0_095073_2006-12-07_final
2006-12-16 11:09:17	ga_ls7e_ard_3-1-0_110072_2006-12-16_final
2006-12-30 11:26:28	ga_ls7e_ard_3-1-0_112084_2006-12-30_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2007-05-12 10:06:42	ga_ls7e_ard_3-1-0_099085_2007-05-12_final
2007-05-26 10:14:58	ga_ls7e_ard_3-1-0_101075_2007-05-26_final
2009-09-05 10:58:07	ga_ls7e_ard_3-1-0_108075_2009-09-05_final
2010-09-22 09:37:18	ga_ls7e_ard_3-0-0_094084_2010-09-22_final
2010-10-05 10:44:51	ga_ls7e_ard_3-1-0_105083_2010-10-05_final
2012-02-18 11:00:29	ga_ls7e_ard_3-1-0_108071_2012-02-18_final
2012-12-20 10:51:42	ga_ls7e_ard_3-1-0_106075_2012-12-20_final
2013-02-11 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-02-11_final
2013-05-23 09:54:01	ga_ls7e_ard_3-1-0_096086_2013-05-23_final
2013-08-13 09:41:27	ga_ls7e_ard_3-0-0_094087_2013-08-13_final
2013-10-20 10:51:38	ga_ls7e_ard_3-1-0_106075_2013-10-20_final
2013-11-28 09:23:33	ga_ls7e_ard_3-1-0_091086_2013-11-27_final
2013-12-05 11:02:41	ga_ls7e_ard_3-1-0_108071_2013-12-05_final
2014-01-08 10:52:01	ga_ls7e_ard_3-1-0_106075_2014-01-08_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2015-02-01 11:15:12	ga_ls7e_ard_3-1-0_109081_2015-02-01_final
2015-05-19 10:55:02	ga_ls7e_ard_3-1-0_106075_2015-05-19_final
2015-08-23 10:55:26	ga_ls7e_ard_3-1-0_106075_2015-08-23_final
2016-03-30 09:42:47	ga_ls7e_ard_3-0-0_094073_2016-03-30_final
2016-08-21 09:43:16	ga_ls7e_ard_3-0-0_094073_2016-08-21_final
2017-06-21 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-06-21_final
2017-12-30 09:45:36	ga_ls7e_ard_3-0-0_094080_2017-12-30_final
2018-01-31 09:42:20	ga_ls7e_ard_3-0-0_094073_2018-01-31_final
2018-07-12 11:05:31	ga_ls7e_ard_3-1-0_108071_2018-07-12_final
2018-10-14 09:38:15	ga_ls7e_ard_3-0-0_094074_2018-10-14_final
2019-03-09 09:25:48	ga_ls7e_ard_3-1-0_092084_2019-03-08_final
2019-03-23 11:11:48	ga_ls7e_ard_3-1-0_110072_2019-03-23_final
2019-05-26 09:36:32	ga_ls7e_ard_3-0-0_094087_2019-05-26_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2019-09-01 10:52:03	ga_ls7e_ard_3-1-0_108069_2019-09-01_final
2019-09-14 10:24:10	ga_ls7e_ard_3-1-0_103078_2019-09-14_final
2019-09-19 10:41:17	ga_ls7e_ard_3-1-0_106075_2019-09-19_final
2019-10-19 09:13:54	ga_ls7e_ard_3-1-0_092076_2019-10-18_final
2019-10-22 09:43:53	ga_ls7e_ard_3-1-0_097074_2019-10-22_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-21 09:53:41	ga_ls7e_ard_3-1-0_099071_2019-11-21_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-15 10:45:08	ga_ls7e_ard_3-1-0_107079_2019-12-15_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2019-12-18 11:17:29	ga_ls7e_ard_3-1-0_112083_2019-12-18_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2019-12-24 10:36:54	ga_ls7e_ard_3-1-0_106075_2019-12-24_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2020-01-26 11:22:05	ga_ls7e_ard_3-1-0_113084_2020-01-26_final
2020-02-15 10:54:21	ga_ls7e_ard_3-1-0_109079_2020-02-15_final
2020-02-22 10:56:34	ga_ls7e_ard_3-1-0_110070_2020-02-22_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2020-04-10 09:20:37	ga_ls7e_ard_3-1-0_094084_2020-04-09_final
2020-04-13 11:27:02	ga_ls7e_ard_3-1-0_115076_2020-04-13_final
2020-05-07 10:35:22	ga_ls7e_ard_3-1-0_107074_2020-05-07_final
2020-06-26 10:18:26	ga_ls7e_ard_3-1-0_105070_2020-06-26_final
2020-07-08 10:45:14	ga_ls7e_ard_3-1-0_109077_2020-07-08_final
2020-07-17 09:01:37	ga_ls7e_ard_3-1-0_092082_2020-07-16_final
2020-07-28 08:41:36	ga_ls7e_ard_3-1-0_089080_2020-07-27_final
2020-08-03 09:43:49	ga_ls7e_ard_3-1-0_099082_2020-08-03_final
2020-08-07 10:58:08	ga_ls7e_ard_3-1-0_111083_2020-08-07_final
2021-02-27 09:27:50	ga_ls7e_ard_3-2-0_099078_2021-02-26_final
2021-03-20 09:45:31	ga_ls7e_ard_3-2-0_102080_2021-03-20_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-05 09:44:37	ga_ls7e_ard_3-2-0_102081_2021-04-05_final
2021-04-21 09:38:29	ga_ls7e_ard_3-2-0_102069_2021-04-21_final
2021-06-26 09:23:48	ga_ls7e_ard_3-2-0_100077_2021-06-25_final
2021-06-30 08:57:33	ga_ls7e_ard_3-2-0_096074_2021-06-29_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-11 08:42:28	ga_ls7e_ard_3-2-0_093085_2021-07-10_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-30 09:04:57	ga_ls7e_ard_3-2-0_098068_2021-07-29_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-09-07 09:11:42	ga_ls7e_ard_3-2-0_099078_2021-09-06_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-07 08:34:55	ga_ls7e_ard_3-2-0_094077_2021-11-06_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-09 10:08:20	ga_ls7e_ard_3-2-1_110071_2021-12-09_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-28 08:13:50	ga_ls7e_ard_3-2-1_092075_2022-01-27_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