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
2000-07-27 11:43:36	ga_ls7e_ard_3-0-0_115078_2000-07-27_final
2001-11-03 11:41:09	ga_ls7e_ard_3-0-0_115079_2001-11-03_final
2003-03-14 11:41:08	ga_ls7e_ard_3-0-0_115078_2003-03-14_final
2003-05-17 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-05-17_final
2003-07-24 11:17:47	ga_ls7e_ard_3-1-0_111082_2003-07-24_final
2003-08-30 11:33:47	ga_ls7e_ard_3-0-0_114076_2003-08-30_final
2003-11-04 11:24:15	ga_ls7e_ard_3-0-0_112083_2003-11-04_final
2004-03-25 11:36:42	ga_ls7e_ard_3-0-0_114081_2004-03-25_final
2004-04-26 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-04-26_final
2004-05-23 11:17:39	ga_ls7e_ard_3-0-0_111080_2004-05-23_final
2004-12-24 11:25:33	ga_ls7e_ard_3-1-0_112084_2004-12-24_final
2005-05-22 11:42:00	ga_ls7e_ard_3-0-0_115078_2005-05-22_final
2005-09-27 11:41:28	ga_ls7e_ard_3-0-0_115078_2005-09-27_final
2006-04-23 11:42:25	ga_ls7e_ard_3-0-0_115078_2006-04-23_final
2007-03-13 11:16:36	ga_ls7e_ard_3-0-0_111074_2007-03-13_final
2007-09-26 11:34:48	ga_ls7e_ard_3-0-0_114075_2007-09-26_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2008-08-11 11:36:36	ga_ls7e_ard_3-0-0_114081_2008-08-11_final
2009-05-03 11:32:27	ga_ls7e_ard_3-0-0_113083_2009-05-03_final
2009-05-05 11:16:30	ga_ls7e_ard_3-0-0_111074_2009-05-05_final
2010-03-10 11:39:31	ga_ls7e_ard_3-0-0_114081_2010-03-10_final
2010-12-07 11:37:59	ga_ls7e_ard_3-0-0_114075_2010-12-07_final
2011-11-17 11:35:38	ga_ls7e_ard_3-0-0_113083_2011-11-17_final
2012-11-19 11:38:01	ga_ls7e_ard_3-0-0_113083_2012-11-19_final
2013-03-04 11:32:24	ga_ls7e_ard_3-0-0_112084_2013-03-04_final
2014-03-21 11:44:20	ga_ls7e_ard_3-0-0_114081_2014-03-21_final
2015-03-17 11:40:13	ga_ls7e_ard_3-0-0_113081_2015-03-17_final
2015-07-16 11:32:00	ga_ls7e_ard_3-0-0_112074_2015-07-16_final
2016-02-07 11:49:16	ga_ls7e_ard_3-0-0_114081_2016-02-07_final
2016-03-05 11:27:41	ga_ls7e_ard_3-0-0_111073_2016-03-05_final
2016-09-18 11:50:08	ga_ls7e_ard_3-0-0_114081_2016-09-18_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2017-01-17 11:44:10	ga_ls7e_ard_3-0-0_113083_2017-01-17_final
2017-06-03 11:34:50	ga_ls7e_ard_3-0-0_112074_2017-06-03_final
2017-06-28 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-06-28_final
2017-08-29 11:44:15	ga_ls7e_ard_3-0-0_113082_2017-08-29_final
2017-10-09 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-10-09_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-10-03 11:35:57	ga_ls7e_ard_3-0-0_113074_2018-10-03_final
2018-11-06 11:22:24	ga_ls7e_ard_3-0-0_111073_2018-11-06_final
2019-01-23 11:36:10	ga_ls7e_ard_3-0-0_113082_2019-01-23_final
2020-02-29 11:03:34	ga_ls7e_ard_3-1-0_111073_2020-02-29_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2020-11-16 11:06:51	ga_ls7e_ard_3-1-0_114075_2020-11-16_final
2020-11-24 10:14:03	ga_ls7e_ard_3-1-0_106068_2020-11-24_final
2020-11-27 10:44:44	ga_ls7e_ard_3-1-0_111068_2020-11-27_final
2020-11-30 09:40:32	ga_ls7e_ard_3-1-0_100078_2020-11-30_final
2020-12-09 09:29:18	ga_ls7e_ard_3-1-0_099067_2020-12-08_final
2020-12-22 10:39:05	ga_ls7e_ard_3-1-0_110074_2020-12-22_final
2020-12-27 09:18:24	ga_ls7e_ard_3-1-0_097074_2020-12-26_final
2021-01-03 09:26:53	ga_ls7e_ard_3-1-0_098081_2021-01-02_final
2021-01-17 09:34:40	ga_ls7e_ard_3-1-0_100072_2021-01-17_final
2021-02-04 09:19:24	ga_ls7e_ard_3-2-0_098068_2021-02-03_final
2021-03-10 09:11:14	ga_ls7e_ard_3-2-0_096085_2021-03-09_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-02 09:22:37	ga_ls7e_ard_3-2-0_099078_2021-05-01_final
2021-05-18 09:17:41	ga_ls7e_ard_3-2-0_099069_2021-05-17_final
2021-06-01 09:34:25	ga_ls7e_ard_3-2-0_101083_2021-06-01_final
2021-06-03 09:21:54	ga_ls7e_ard_3-2-0_099083_2021-06-02_final
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_2021-06-04_final
2021-06-11 08:33:01	ga_ls7e_ard_3-2-0_091086_2021-06-10_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-06-17 09:32:43	ga_ls7e_ard_3-2-0_101082_2021-06-17_final
2021-06-17 09:33:07	ga_ls7e_ard_3-2-0_101083_2021-06-17_final
2021-06-18 10:16:42	ga_ls7e_ard_3-2-0_108084_2021-06-18_final
2021-06-29 09:53:39	ga_ls7e_ard_3-2-0_105075_2021-06-29_final
2021-07-05 09:17:16	ga_ls7e_ard_3-2-0_099078_2021-07-04_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-01 09:48:30	ga_ls7e_ard_3-2-0_105076_2021-09-01_final
2021-09-07 09:11:18	ga_ls7e_ard_3-2-0_099077_2021-09-06_final
2021-09-20 08:37:39	ga_ls7e_ard_3-2-0_094073_2021-09-19_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-20 10:15:20	ga_ls7e_ard_3-2-0_110070_2021-09-20_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-03 10:39:17	ga_ls7e_ard_3-2-0_114078_2021-11-03_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-23 08:35:44	ga_ls7e_ard_3-2-1_094083_2021-11-22_final
2021-12-07 08:47:36	ga_ls7e_ard_3-2-1_096085_2021-12-06_final
2021-12-12 09:05:15	ga_ls7e_ard_3-2-1_099084_2021-12-11_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-21 08:57:49	ga_ls7e_ard_3-2-1_098083_2021-12-20_final
2021-12-26 09:15:27	ga_ls7e_ard_3-2-1_101082_2021-12-25_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-06 08:53:49	ga_ls7e_ard_3-2-1_098077_2022-01-05_final
2022-01-14 08:06:49	ga_ls7e_ard_3-2-1_090085_2022-01-13_final
2022-01-20 09:04:51	ga_ls7e_ard_3-2-1_100077_2022-01-19_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-02-08 09:33:28	ga_ls7e_ard_3-2-1_105076_2022-02-08_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_final
2022-03-01 08:10:39	ga_ls7e_ard_3-2-1_092075_2022-02-28_final
2022-03-02 08:52:13	ga_ls7e_ard_3-2-1_099071_2022-03-01_final
2022-03-12 09:32:18	ga_ls7e_ard_3-2-1_105081_2022-03-12_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years