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
1999-09-21 09:05:49	ga_ls7e_ard_3-1-0_089081_1999-09-20_final
1999-10-17 11:22:13	ga_ls7e_ard_3-1-0_111082_1999-10-17_final
1999-12-22 11:09:25	ga_ls7e_ard_3-1-0_109081_1999-12-22_final
2000-02-20 09:53:01	ga_ls7e_ard_3-1-0_097076_2000-02-20_final
2000-06-12 10:33:05	ga_ls7e_ard_3-1-0_104070_2000-06-12_final
2000-11-04 11:19:38	ga_ls7e_ard_3-1-0_111082_2000-11-04_final
2001-03-11 10:31:33	ga_ls7e_ard_3-1-0_104070_2001-03-11_final
2001-05-01 11:06:36	ga_ls7e_ard_3-1-0_109081_2001-05-01_final
2001-05-06 11:23:30	ga_ls7e_ard_3-1-0_112077_2001-05-06_final
2001-06-16 11:18:51	ga_ls7e_ard_3-1-0_111082_2001-06-16_final
2001-07-27 09:33:50	ga_ls7e_ard_3-1-0_094083_2001-07-27_final
2001-08-29 10:13:24	ga_ls7e_ard_3-1-0_101075_2001-08-29_final
2001-12-07 09:48:54	ga_ls7e_ard_3-1-0_097076_2001-12-07_final
2002-01-09 10:29:59	ga_ls7e_ard_3-1-0_104070_2002-01-09_final
2002-01-24 09:49:14	ga_ls7e_ard_3-1-0_097076_2002-01-24_final
2002-06-19 11:17:46	ga_ls7e_ard_3-1-0_111082_2002-06-19_final
2002-06-29 10:13:07	ga_ls7e_ard_3-1-0_101075_2002-06-29_final
2002-07-31 10:12:55	ga_ls7e_ard_3-1-0_101075_2002-07-31_final
2002-08-04 09:48:33	ga_ls7e_ard_3-1-0_097076_2002-08-04_final
2002-08-06 09:34:58	ga_ls7e_ard_3-1-0_095073_2002-08-06_final
2003-05-04 10:29:59	ga_ls7e_ard_3-1-0_104070_2003-05-04_final
2005-10-01 09:38:16	ga_ls7e_ard_3-1-0_095079_2005-10-01_final
2008-03-01 09:22:39	ga_ls7e_ard_3-1-0_093068_2008-02-29_final
2008-06-26 11:23:05	ga_ls7e_ard_3-1-0_112077_2008-06-26_final
2008-09-23 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-09-23_final
2010-03-23 09:30:12	ga_ls7e_ard_3-1-0_093082_2010-03-23_final
2010-05-10 09:30:11	ga_ls7e_ard_3-1-0_093082_2010-05-10_final
2011-08-15 09:42:36	ga_ls7e_ard_3-1-0_095079_2011-08-15_final
2013-08-18 09:55:40	ga_ls7e_ard_3-1-0_097076_2013-08-18_final
2013-09-21 09:44:53	ga_ls7e_ard_3-1-0_095079_2013-09-21_final
2013-10-07 11:25:11	ga_ls7e_ard_3-1-0_111082_2013-10-07_final
2013-10-25 09:34:30	ga_ls7e_ard_3-1-0_093083_2013-10-25_final
2013-11-24 09:45:26	ga_ls7e_ard_3-1-0_095079_2013-11-24_final
2014-07-22 09:46:46	ga_ls7e_ard_3-1-0_095079_2014-07-22_final
2014-08-14 11:31:55	ga_ls7e_ard_3-1-0_112079_2014-08-14_final
2015-09-02 11:36:05	ga_ls7e_ard_3-1-0_112084_2015-09-02_final
2015-10-22 09:44:56	ga_ls7e_ard_3-1-0_094083_2015-10-22_final
2016-08-06 10:27:18	ga_ls7e_ard_3-1-0_101075_2016-08-06_final
2018-01-05 10:43:20	ga_ls7e_ard_3-1-0_104070_2018-01-05_final
2018-07-08 11:33:31	ga_ls7e_ard_3-1-0_112079_2018-07-08_final
2018-10-19 09:57:04	ga_ls7e_ard_3-1-0_097075_2018-10-19_final
2019-03-06 10:32:41	ga_ls7e_ard_3-1-0_103081_2019-03-06_final
2019-05-08 11:25:17	ga_ls7e_ard_3-1-0_112079_2019-05-08_final
2019-08-12 11:23:36	ga_ls7e_ard_3-1-0_112084_2019-08-12_final
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-06 11:09:34	ga_ls7e_ard_3-1-0_111067_2019-09-06_final
2019-09-06 11:13:34	ga_ls7e_ard_3-1-0_111077_2019-09-06_final
2019-09-19 09:04:48	ga_ls7e_ard_3-1-0_090081_2019-09-18_final
2019-10-17 09:29:09	ga_ls7e_ard_3-1-0_094083_2019-10-16_final
2019-11-02 09:26:27	ga_ls7e_ard_3-1-0_094078_2019-11-01_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-12-04 09:24:57	ga_ls7e_ard_3-1-0_094078_2019-12-03_final
2019-12-20 09:24:08	ga_ls7e_ard_3-1-0_094078_2019-12-19_final
2019-12-27 09:30:21	ga_ls7e_ard_3-1-0_095079_2019-12-27_final
2020-02-01 10:42:18	ga_ls7e_ard_3-1-0_107078_2020-02-01_final
2020-02-15 09:15:52	ga_ls7e_ard_3-1-0_093080_2020-02-14_final
2020-03-07 11:11:46	ga_ls7e_ard_3-1-0_112079_2020-03-07_final
2020-03-30 09:39:24	ga_ls7e_ard_3-1-0_097083_2020-03-30_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-08 11:09:59	ga_ls7e_ard_3-1-0_112079_2020-04-08_final
2020-04-10 09:17:26	ga_ls7e_ard_3-1-0_094076_2020-04-09_final
2020-08-16 09:10:06	ga_ls7e_ard_3-1-0_094077_2020-08-15_final
2020-08-23 09:16:38	ga_ls7e_ard_3-1-0_095079_2020-08-22_final
2020-08-24 09:59:49	ga_ls7e_ard_3-1-0_102079_2020-08-24_final
2020-09-03 10:35:27	ga_ls7e_ard_3-1-0_108077_2020-09-03_final
2020-09-11 09:43:53	ga_ls7e_ard_3-1-0_100073_2020-09-11_final
2020-09-21 10:23:29	ga_ls7e_ard_3-1-0_106081_2020-09-21_final
2020-10-09 10:07:12	ga_ls7e_ard_3-1-0_104074_2020-10-09_final
2020-11-10 10:07:52	ga_ls7e_ard_3-1-0_104081_2020-11-10_final
2020-11-29 08:58:57	ga_ls7e_ard_3-1-0_093082_2020-11-28_final
2020-11-29 10:37:01	ga_ls7e_ard_3-1-0_109080_2020-11-29_final
2020-12-08 10:29:23	ga_ls7e_ard_3-1-0_108078_2020-12-08_final
2021-01-27 10:14:37	ga_ls7e_ard_3-2-0_106081_2021-01-27_final
2021-02-15 09:04:02	ga_ls7e_ard_3-2-0_095078_2021-02-14_final
2021-02-24 08:55:58	ga_ls7e_ard_3-2-0_094075_2021-02-23_final
2021-03-16 10:10:58	ga_ls7e_ard_3-2-0_106081_2021-03-16_final
2021-03-23 10:15:23	ga_ls7e_ard_3-2-0_107078_2021-03-23_final
2021-03-30 10:20:36	ga_ls7e_ard_3-2-0_108077_2021-03-30_final
2021-04-03 09:56:45	ga_ls7e_ard_3-2-0_104080_2021-04-03_final
2021-04-03 09:57:09	ga_ls7e_ard_3-2-0_104081_2021-04-03_final
2021-04-07 09:28:54	ga_ls7e_ard_3-2-0_100073_2021-04-06_final
2021-04-20 08:57:43	ga_ls7e_ard_3-2-0_095075_2021-04-19_final
2021-05-09 09:26:13	ga_ls7e_ard_3-2-0_100073_2021-05-08_final
2021-06-01 09:32:49	ga_ls7e_ard_3-2-0_101079_2021-06-01_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-08-01 08:56:24	ga_ls7e_ard_3-2-0_096078_2021-07-31_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-26 08:48:01	ga_ls7e_ard_3-2-0_095078_2021-08-25_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-08-28 10:14:46	ga_ls7e_ard_3-2-0_109079_2021-08-28_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-20 08:40:03	ga_ls7e_ard_3-2-0_094079_2021-09-19_final
2021-09-25 08:56:32	ga_ls7e_ard_3-2-0_097075_2021-09-24_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-10-17 09:59:11	ga_ls7e_ard_3-2-0_107082_2021-10-17_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_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