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
1999-08-14 11:22:09	ga_ls7e_ard_3-1-0_111082_1999-08-14_final
1999-09-15 11:22:06	ga_ls7e_ard_3-1-0_111082_1999-09-15_final
1999-12-04 09:42:02	ga_ls7e_ard_3-1-0_095079_1999-12-04_final
1999-12-10 10:44:20	ga_ls7e_ard_3-1-0_105080_1999-12-10_final
2000-01-04 10:34:03	ga_ls7e_ard_3-1-0_104070_2000-01-04_final
2000-01-10 09:59:23	ga_ls7e_ard_3-1-0_098076_2000-01-10_final
2000-05-11 10:33:21	ga_ls7e_ard_3-1-0_104070_2000-05-11_final
2000-10-13 10:14:55	ga_ls7e_ard_3-1-0_101075_2000-10-13_final
2000-10-24 09:58:23	ga_ls7e_ard_3-1-0_098080_2000-10-24_final
2001-01-22 10:31:45	ga_ls7e_ard_3-1-0_104070_2001-01-22_final
2001-03-21 09:34:48	ga_ls7e_ard_3-1-0_094083_2001-03-21_final
2001-08-09 09:01:54	ga_ls7e_ard_3-1-0_089081_2001-08-08_final
2001-08-28 09:26:58	ga_ls7e_ard_3-1-0_094067_2001-08-27_final
2001-10-28 10:39:42	ga_ls7e_ard_3-1-0_105080_2001-10-28_final
2002-03-15 09:38:04	ga_ls7e_ard_3-1-0_095079_2002-03-15_final
2002-10-25 09:37:00	ga_ls7e_ard_3-1-0_095079_2002-10-25_final
2003-04-22 10:09:37	ga_ls7e_ard_3-1-0_100081_2003-04-22_final
2003-08-18 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-08-17_final
2003-08-25 09:37:35	ga_ls7e_ard_3-1-0_095079_2003-08-25_final
2005-08-30 09:38:25	ga_ls7e_ard_3-1-0_095079_2005-08-30_final
2006-11-12 11:24:09	ga_ls7e_ard_3-1-0_112079_2006-11-12_final
2007-05-03 10:11:20	ga_ls7e_ard_3-1-0_100081_2007-05-03_final
2007-06-30 10:46:37	ga_ls7e_ard_3-1-0_106077_2007-06-30_final
2008-09-23 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-09-23_final
2008-10-02 09:33:21	ga_ls7e_ard_3-1-0_094083_2008-10-02_final
2012-02-14 09:50:18	ga_ls7e_ard_3-1-0_096081_2012-02-14_final
2012-11-05 09:45:02	ga_ls7e_ard_3-1-0_095079_2012-11-05_final
2012-12-23 09:45:20	ga_ls7e_ard_3-1-0_095079_2012-12-23_final
2013-01-02 10:20:51	ga_ls7e_ard_3-1-0_101075_2013-01-02_final
2013-01-24 09:45:23	ga_ls7e_ard_3-1-0_095079_2013-01-24_final
2013-04-24 10:20:35	ga_ls7e_ard_3-1-0_101075_2013-04-24_final
2013-04-28 09:56:16	ga_ls7e_ard_3-1-0_097076_2013-04-28_final
2013-06-10 09:40:17	ga_ls7e_ard_3-1-0_094083_2013-06-10_final
2014-03-15 10:38:05	ga_ls7e_ard_3-1-0_104070_2014-03-15_final
2014-06-15 11:08:08	ga_ls7e_ard_3-1-0_108082_2014-06-15_final
2015-01-23 09:43:11	ga_ls7e_ard_3-1-0_094083_2015-01-23_final
2015-03-10 11:32:21	ga_ls7e_ard_3-1-0_112077_2015-03-10_final
2015-04-01 10:55:27	ga_ls7e_ard_3-1-0_106077_2015-04-01_final
2015-11-12 10:01:01	ga_ls7e_ard_3-1-0_097076_2015-11-12_final
2016-05-19 09:34:40	ga_ls7e_ard_3-1-0_092083_2016-05-19_final
2016-12-27 09:46:58	ga_ls7e_ard_3-1-0_094083_2016-12-27_final
2017-01-25 10:53:26	ga_ls7e_ard_3-1-0_105080_2017-01-25_final
2018-01-21 10:45:06	ga_ls7e_ard_3-1-0_104075_2018-01-21_final
2018-04-18 10:52:06	ga_ls7e_ard_3-1-0_105080_2018-04-18_final
2018-06-26 09:30:09	ga_ls7e_ard_3-1-0_092079_2018-06-26_final
2018-10-24 10:17:54	ga_ls7e_ard_3-1-0_100081_2018-10-24_final
2019-02-21 09:23:31	ga_ls7e_ard_3-1-0_092077_2019-02-20_final
2019-03-09 11:03:29	ga_ls7e_ard_3-1-0_108081_2019-03-09_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-21 09:46:56	ga_ls7e_ard_3-1-0_096076_2019-03-21_final
2019-03-22 10:29:46	ga_ls7e_ard_3-1-0_103075_2019-03-22_final
2019-05-31 09:50:31	ga_ls7e_ard_3-1-0_097076_2019-05-31_final
2019-09-09 10:07:03	ga_ls7e_ard_3-1-0_100081_2019-09-09_final
2019-09-13 11:19:26	ga_ls7e_ard_3-1-0_112077_2019-09-13_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-30 10:22:40	ga_ls7e_ard_3-1-0_103076_2019-09-30_final
2019-10-08 11:12:59	ga_ls7e_ard_3-1-0_111079_2019-10-08_final
2019-10-17 11:06:26	ga_ls7e_ard_3-1-0_110079_2019-10-17_final
2019-10-24 09:32:38	ga_ls7e_ard_3-1-0_095077_2019-10-24_final
2019-11-23 09:43:37	ga_ls7e_ard_3-1-0_097077_2019-11-23_final
2019-12-02 09:37:24	ga_ls7e_ard_3-1-0_096078_2019-12-02_final
2019-12-09 11:22:31	ga_ls7e_ard_3-1-0_113079_2019-12-09_final
2019-12-13 10:58:00	ga_ls7e_ard_3-1-0_109080_2019-12-13_final
2019-12-20 09:24:32	ga_ls7e_ard_3-1-0_094079_2019-12-19_final
2019-12-29 10:56:46	ga_ls7e_ard_3-1-0_109079_2019-12-29_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-21 09:42:53	ga_ls7e_ard_3-1-0_098075_2020-03-21_final
2020-03-22 10:27:17	ga_ls7e_ard_3-1-0_105078_2020-03-22_final
2020-03-30 09:36:12	ga_ls7e_ard_3-1-0_097075_2020-03-30_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-04-09 10:11:07	ga_ls7e_ard_3-1-0_103071_2020-04-09_final
2021-02-25 09:39:33	ga_ls7e_ard_3-2-0_101076_2021-02-25_final
2021-03-26 09:09:09	ga_ls7e_ard_3-2-0_096083_2021-03-25_final
2021-04-21 09:41:17	ga_ls7e_ard_3-2-0_102076_2021-04-21_final
2021-04-21 09:41:41	ga_ls7e_ard_3-2-0_102077_2021-04-21_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-06-13 09:53:23	ga_ls7e_ard_3-2-0_105071_2021-06-13_final
2021-06-16 08:49:57	ga_ls7e_ard_3-2-0_094083_2021-06-15_final
2021-07-11 08:39:17	ga_ls7e_ard_3-2-0_093077_2021-07-10_final
2021-07-15 09:51:30	ga_ls7e_ard_3-2-0_105073_2021-07-15_final
2021-07-21 09:14:18	ga_ls7e_ard_3-2-0_099074_2021-07-20_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-10 08:49:49	ga_ls7e_ard_3-2-0_095079_2021-08-09_final
2021-08-14 10:02:49	ga_ls7e_ard_3-2-0_107077_2021-08-14_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-08-27 09:30:24	ga_ls7e_ard_3-2-0_102076_2021-08-27_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-09 10:38:27	ga_ls7e_ard_3-2-0_113079_2021-09-09_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-10-10 09:52:02	ga_ls7e_ard_3-2-0_106078_2021-10-10_final
2021-10-16 09:15:13	ga_ls7e_ard_3-2-0_100080_2021-10-15_final
2021-12-23 10:22:32	ga_ls7e_ard_3-2-1_112079_2021-12-23_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-01-19 10:01:22	ga_ls7e_ard_3-2-1_109079_2022-01-19_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-01-31 08:44:50	ga_ls7e_ard_3-2-1_097076_2022-01-30_final
2022-02-06 09:48:25	ga_ls7e_ard_3-2-1_107082_2022-02-06_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