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
2002-07-10 09:56:32	ga_ls7e_ard_3-1-0_098080_2002-07-10_final
2005-02-05 09:29:32	ga_ls7e_ard_3-1-0_093087_2005-02-04_final
2005-04-12 09:16:52	ga_ls7e_ard_3-1-0_091086_2005-04-11_final
2005-07-17 09:16:42	ga_ls7e_ard_3-1-0_091086_2005-07-16_final
2006-07-09 09:34:27	ga_ls7e_ard_3-1-0_094083_2006-07-09_final
2007-04-02 09:17:48	ga_ls7e_ard_3-1-0_091086_2007-04-01_final
2007-07-03 09:37:02	ga_ls7e_ard_3-1-0_095073_2007-07-03_final
2007-10-20 10:45:26	ga_ls7e_ard_3-1-0_106075_2007-10-20_final
2008-12-28 11:18:53	ga_ls7e_ard_3-1-0_111082_2008-12-28_final
2009-02-14 09:39:05	ga_ls7e_ard_3-1-0_095079_2009-02-14_final
2009-03-01 10:31:16	ga_ls7e_ard_3-1-0_104070_2009-03-01_final
2009-05-26 09:58:35	ga_ls7e_ard_3-1-0_098080_2009-05-26_final
2009-05-27 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-05-26_final
2009-06-18 11:42:25	ga_ls7e_ard_3-1-0_115077_2009-06-18_final
2009-08-20 10:56:31	ga_ls7e_ard_3-1-0_108071_2009-08-20_final
2009-09-22 11:42:09	ga_ls7e_ard_3-1-0_115077_2009-09-22_final
2010-06-09 11:21:25	ga_ls7e_ard_3-1-0_111082_2010-06-09_final
2010-09-08 09:27:20	ga_ls7e_ard_3-1-0_092090_2010-09-07_final
2011-01-18 10:34:32	ga_ls7e_ard_3-1-0_104070_2011-01-18_final
2011-04-27 09:30:03	ga_ls7e_ard_3-1-0_093078_2011-04-27_final
2012-01-03 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-03_final
2012-05-26 10:50:09	ga_ls7e_ard_3-1-0_106075_2012-05-26_final
2012-06-14 09:41:12	ga_ls7e_ard_3-1-0_095073_2012-06-14_final
2013-11-24 09:43:02	ga_ls7e_ard_3-1-0_095073_2013-11-24_final
2013-11-29 10:04:26	ga_ls7e_ard_3-1-0_098080_2013-11-29_final
2013-12-31 10:04:34	ga_ls7e_ard_3-1-0_098080_2013-12-31_final
2014-01-08 10:52:01	ga_ls7e_ard_3-1-0_106075_2014-01-08_final
2014-05-30 09:30:02	ga_ls7e_ard_3-1-0_092084_2014-05-30_final
2015-04-04 11:28:23	ga_ls7e_ard_3-1-0_111082_2015-04-04_final
2015-12-29 10:56:56	ga_ls7e_ard_3-1-0_106075_2015-12-29_final
2016-03-02 10:57:33	ga_ls7e_ard_3-1-0_106075_2016-03-02_final
2016-06-11 11:19:03	ga_ls7e_ard_3-1-0_109081_2016-06-11_final
2016-09-10 10:58:17	ga_ls7e_ard_3-1-0_106075_2016-09-10_final
2017-07-14 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-07-14_final
2017-12-22 10:32:21	ga_ls7e_ard_3-1-0_102073_2017-12-22_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2019-02-17 11:27:38	ga_ls7e_ard_3-1-0_112078_2019-02-17_final
2019-02-19 09:37:56	ga_ls7e_ard_3-1-0_094082_2019-02-19_final
2019-03-01 10:15:06	ga_ls7e_ard_3-1-0_100083_2019-03-01_final
2019-03-08 10:18:40	ga_ls7e_ard_3-1-0_101077_2019-03-08_final
2019-03-08 10:20:15	ga_ls7e_ard_3-1-0_101081_2019-03-08_final
2019-03-24 10:20:32	ga_ls7e_ard_3-1-0_101083_2019-03-24_final
2019-03-30 11:21:43	ga_ls7e_ard_3-1-0_111082_2019-03-30_final
2019-06-27 11:08:17	ga_ls7e_ard_3-1-0_110072_2019-06-27_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-08-28 09:40:27	ga_ls7e_ard_3-1-0_096075_2019-08-28_final
2019-09-01 10:52:51	ga_ls7e_ard_3-1-0_108071_2019-09-01_final
2019-09-22 11:11:39	ga_ls7e_ard_3-1-0_111074_2019-09-22_final
2019-10-04 11:36:16	ga_ls7e_ard_3-1-0_115075_2019-10-04_final
2019-10-14 10:33:16	ga_ls7e_ard_3-1-0_105073_2019-10-14_final
2019-10-30 10:32:34	ga_ls7e_ard_3-1-0_105073_2019-10-30_final
2019-11-02 11:02:56	ga_ls7e_ard_3-1-0_110072_2019-11-02_final
2019-11-05 09:56:49	ga_ls7e_ard_3-1-0_099077_2019-11-05_final
2019-11-05 11:34:54	ga_ls7e_ard_3-1-0_115075_2019-11-05_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2020-01-03 11:13:51	ga_ls7e_ard_3-1-0_112076_2020-01-03_final
2020-01-05 11:01:23	ga_ls7e_ard_3-1-0_110076_2020-01-05_final
2020-01-08 09:52:03	ga_ls7e_ard_3-1-0_099073_2020-01-08_final
2020-01-13 10:11:57	ga_ls7e_ard_3-1-0_102077_2020-01-13_final
2020-01-16 09:03:25	ga_ls7e_ard_3-1-0_091076_2020-01-15_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-01-30 10:51:34	ga_ls7e_ard_3-1-0_109070_2020-01-30_final
2020-02-01 10:44:42	ga_ls7e_ard_3-1-0_107084_2020-02-01_final
2020-02-09 11:30:08	ga_ls7e_ard_3-1-0_115075_2020-02-09_final
2020-02-10 10:36:28	ga_ls7e_ard_3-1-0_106080_2020-02-10_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-02-27 09:37:33	ga_ls7e_ard_3-1-0_097074_2020-02-27_final
2020-02-29 09:27:53	ga_ls7e_ard_3-1-0_095081_2020-02-28_final
2020-03-06 10:29:46	ga_ls7e_ard_3-1-0_105082_2020-03-06_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-03-16 09:27:49	ga_ls7e_ard_3-1-0_095083_2020-03-15_final
2020-03-17 10:05:26	ga_ls7e_ard_3-1-0_102069_2020-03-17_final
2020-03-21 09:44:53	ga_ls7e_ard_3-1-0_098080_2020-03-21_final
2020-03-29 10:32:16	ga_ls7e_ard_3-1-0_106076_2020-03-29_final
2020-04-01 09:24:31	ga_ls7e_ard_3-1-0_095077_2020-03-31_final
2020-04-08 09:28:43	ga_ls7e_ard_3-1-0_096073_2020-04-07_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-13 09:49:21	ga_ls7e_ard_3-1-0_099079_2020-04-13_final
2020-04-22 09:43:03	ga_ls7e_ard_3-1-0_098080_2020-04-22_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-11 09:51:13	ga_ls7e_ard_3-2-0_103077_2021-03-11_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-05-26 08:35:32	ga_ls7e_ard_3-2-0_091089_2021-05-25_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-05-31 08:50:27	ga_ls7e_ard_3-2-0_094081_2021-05-30_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-16 08:49:33	ga_ls7e_ard_3-2-0_094082_2021-06-15_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-07-14 09:11:31	ga_ls7e_ard_3-2-0_098081_2021-07-13_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-07-27 10:18:46	ga_ls7e_ard_3-2-0_109082_2021-07-27_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_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