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
1999-07-29 09:42:52	ga_ls7e_ard_3-0-0_095081_1999-07-29_final
1999-09-15 09:44:49	ga_ls7e_ard_3-0-0_095086_1999-09-15_final
2000-04-26 09:41:55	ga_ls7e_ard_3-0-0_095080_2000-04-26_final
2000-10-03 09:40:49	ga_ls7e_ard_3-0-0_095082_2000-10-03_final
2000-11-20 09:40:19	ga_ls7e_ard_3-0-0_095081_2000-11-20_final
2001-01-07 09:41:38	ga_ls7e_ard_3-0-0_095084_2001-01-07_final
2001-06-16 09:39:34	ga_ls7e_ard_3-0-0_095081_2001-06-16_final
2001-08-03 09:39:54	ga_ls7e_ard_3-0-0_095083_2001-08-03_final
2001-09-20 09:39:14	ga_ls7e_ard_3-0-0_095083_2001-09-20_final
2001-10-06 09:37:27	ga_ls7e_ard_3-1-0_095079_2001-10-06_final
2002-01-10 09:39:33	ga_ls7e_ard_3-0-0_095083_2002-01-10_final
2002-12-12 09:37:26	ga_ls7e_ard_3-1-0_095079_2002-12-12_final
2002-12-28 09:37:32	ga_ls7e_ard_3-1-0_095079_2002-12-28_final
2003-01-29 09:40:06	ga_ls7e_ard_3-0-0_095085_2003-01-29_final
2003-04-03 09:38:44	ga_ls7e_ard_3-0-0_095081_2003-04-03_final
2003-08-25 09:37:11	ga_ls7e_ard_3-0-0_095078_2003-08-25_final
2004-11-15 09:37:44	ga_ls7e_ard_3-0-0_095078_2004-11-15_final
2006-04-27 09:39:13	ga_ls7e_ard_3-1-0_095079_2006-04-27_final
2006-11-05 09:39:00	ga_ls7e_ard_3-1-0_095079_2006-11-05_final
2006-12-07 09:39:19	ga_ls7e_ard_3-1-0_095079_2006-12-07_final
2010-05-24 09:40:31	ga_ls7e_ard_3-0-0_095077_2010-05-24_final
2010-07-27 09:40:37	ga_ls7e_ard_3-0-0_095077_2010-07-27_final
2010-09-13 09:41:53	ga_ls7e_ard_3-0-0_095080_2010-09-13_final
2011-02-20 09:42:16	ga_ls7e_ard_3-0-0_095078_2011-02-20_final
2011-06-12 09:43:11	ga_ls7e_ard_3-0-0_095080_2011-06-12_final
2011-10-18 09:43:18	ga_ls7e_ard_3-0-0_095081_2011-10-18_final
2011-12-05 09:45:21	ga_ls7e_ard_3-0-0_095085_2011-12-05_final
2012-05-13 09:44:18	ga_ls7e_ard_3-0-0_095080_2012-05-13_final
2012-06-14 09:44:24	ga_ls7e_ard_3-0-0_095081_2012-06-14_final
2012-07-16 09:44:23	ga_ls7e_ard_3-0-0_095080_2012-07-16_final
2012-08-01 09:43:20	ga_ls7e_ard_3-0-0_095077_2012-08-01_final
2012-11-21 09:47:35	ga_ls7e_ard_3-0-0_095085_2012-11-21_final
2013-03-13 09:45:44	ga_ls7e_ard_3-0-0_095080_2013-03-13_final
2013-07-03 09:43:54	ga_ls7e_ard_3-0-0_095077_2013-07-03_final
2013-07-03 09:45:06	ga_ls7e_ard_3-0-0_095080_2013-07-03_final
2014-09-08 09:47:39	ga_ls7e_ard_3-0-0_095081_2014-09-08_final
2015-01-30 09:48:39	ga_ls7e_ard_3-0-0_095081_2015-01-30_final
2015-09-11 09:48:42	ga_ls7e_ard_3-0-0_095078_2015-09-11_final
2017-01-03 09:51:04	ga_ls7e_ard_3-0-0_095078_2017-01-03_final
2017-03-08 09:51:43	ga_ls7e_ard_3-0-0_095080_2017-03-08_final
2017-03-08 09:52:07	ga_ls7e_ard_3-0-0_095081_2017-03-08_final
2017-04-09 09:51:29	ga_ls7e_ard_3-1-0_095079_2017-04-09_final
2017-08-31 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-08-31_final
2018-07-01 09:48:36	ga_ls7e_ard_3-1-0_095079_2018-07-01_final
2019-10-08 09:33:42	ga_ls7e_ard_3-1-0_095078_2019-10-08_final
2020-02-13 09:27:56	ga_ls7e_ard_3-1-0_095079_2020-02-12_final
2020-03-16 09:26:13	ga_ls7e_ard_3-1-0_095079_2020-03-15_final
2020-12-13 09:09:04	ga_ls7e_ard_3-1-0_095079_2020-12-12_final
2021-02-16 09:47:13	ga_ls7e_ard_3-2-0_102078_2021-02-16_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-03-04 09:46:23	ga_ls7e_ard_3-2-0_102079_2021-03-04_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-30 10:21:00	ga_ls7e_ard_3-2-0_108078_2021-03-30_final
2021-04-10 09:58:45	ga_ls7e_ard_3-2-0_105071_2021-04-10_final
2021-04-13 08:53:43	ga_ls7e_ard_3-2-0_094079_2021-04-12_final
2021-04-20 08:57:43	ga_ls7e_ard_3-2-0_095075_2021-04-19_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-05-08 08:45:26	ga_ls7e_ard_3-2-0_093079_2021-05-07_final
2021-05-13 10:42:02	ga_ls7e_ard_3-2-0_112078_2021-05-13_final
2021-05-14 09:46:44	ga_ls7e_ard_3-2-0_103079_2021-05-14_final
2021-05-15 08:51:02	ga_ls7e_ard_3-2-0_094079_2021-05-14_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-05-31 08:48:27	ga_ls7e_ard_3-2-0_094076_2021-05-30_final
2021-06-05 10:45:52	ga_ls7e_ard_3-2-0_113077_2021-06-05_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-08 09:47:55	ga_ls7e_ard_3-2-0_104078_2021-07-08_final
2021-07-09 10:30:17	ga_ls7e_ard_3-2-0_111076_2021-07-09_final
2021-07-27 08:38:42	ga_ls7e_ard_3-2-0_093079_2021-07-26_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-25 09:44:08	ga_ls7e_ard_3-2-0_104079_2021-08-25_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-09-21 09:23:13	ga_ls7e_ard_3-2-0_101079_2021-09-20_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-06 08:37:26	ga_ls7e_ard_3-2-0_094076_2021-10-05_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-11-04 09:41:35	ga_ls7e_ard_3-2-0_105073_2021-11-04_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2021-12-18 08:25:36	ga_ls7e_ard_3-2-1_093079_2021-12-17_final
2022-01-24 08:38:33	ga_ls7e_ard_3-2-1_096074_2022-01-23_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-11 08:24:46	ga_ls7e_ard_3-2-1_094075_2022-02-10_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-24 09:33:04	ga_ls7e_ard_3-2-1_105079_2022-02-24_final
2022-02-26 09:18:31	ga_ls7e_ard_3-2-1_103074_2022-02-25_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-04-01 09:03:15	ga_ls7e_ard_3-2-1_101075_2022-03-31_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