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
1999-07-17 09:20:04	ga_ls7e_ard_3-1-0_091086_1999-07-16_final
1999-07-24 11:00:45	ga_ls7e_ard_3-1-0_108075_1999-07-24_final
1999-10-13 11:45:01	ga_ls7e_ard_3-1-0_115077_1999-10-13_final
2000-03-27 11:09:05	ga_ls7e_ard_3-1-0_109081_2000-03-27_final
2002-05-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2002-05-18_final
2002-09-28 09:57:05	ga_ls7e_ard_3-1-0_098083_2002-09-28_final
2004-07-03 09:27:14	ga_ls7e_ard_3-1-0_094067_2004-07-02_final
2004-12-26 11:08:25	ga_ls7e_ard_3-1-0_110072_2004-12-26_final
2005-01-24 09:05:30	ga_ls7e_ard_3-1-0_089089_2005-01-23_final
2005-02-28 11:08:47	ga_ls7e_ard_3-1-0_110072_2005-02-28_final
2005-05-30 09:16:50	ga_ls7e_ard_3-1-0_091086_2005-05-29_final
2005-08-23 09:29:54	ga_ls7e_ard_3-1-0_094073_2005-08-22_final
2006-01-17 11:41:54	ga_ls7e_ard_3-1-0_115077_2006-01-17_final
2006-03-13 10:11:00	ga_ls7e_ard_3-1-0_100081_2006-03-13_final
2006-03-14 09:17:22	ga_ls7e_ard_3-1-0_091086_2006-03-13_final
2006-07-29 10:45:16	ga_ls7e_ard_3-1-0_106075_2006-07-29_final
2006-12-30 11:26:28	ga_ls7e_ard_3-1-0_112084_2006-12-30_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-11-05 09:09:31	ga_ls7e_ard_3-1-0_090082_2007-11-04_final
2007-11-26 09:30:14	ga_ls7e_ard_3-1-0_093087_2007-11-26_final
2008-03-01 09:22:15	ga_ls7e_ard_3-1-0_093067_2008-02-29_final
2008-11-23 09:09:57	ga_ls7e_ard_3-1-0_090085_2008-11-22_final
2008-12-03 09:47:32	ga_ls7e_ard_3-1-0_096086_2008-12-03_final
2009-05-23 09:30:28	ga_ls7e_ard_3-1-0_093087_2009-05-23_final
2009-06-26 09:17:40	ga_ls7e_ard_3-1-0_091086_2009-06-25_final
2009-07-10 09:29:59	ga_ls7e_ard_3-1-0_093086_2009-07-09_final
2010-10-21 09:05:21	ga_ls7e_ard_3-1-0_089081_2010-10-20_final
2010-12-25 09:51:16	ga_ls7e_ard_3-1-0_096086_2010-12-25_final
2011-06-25 10:49:07	ga_ls7e_ard_3-1-0_106075_2011-06-25_final
2011-07-02 09:20:47	ga_ls7e_ard_3-1-0_091086_2011-07-01_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2012-10-11 09:53:50	ga_ls7e_ard_3-1-0_096086_2012-10-11_final
2013-01-08 09:42:58	ga_ls7e_ard_3-1-0_095073_2013-01-08_final
2013-08-11 11:31:28	ga_ls7e_ard_3-1-0_112084_2013-08-11_final
2014-10-10 09:44:45	ga_ls7e_ard_3-1-0_095073_2014-10-10_final
2016-01-03 09:41:28	ga_ls7e_ard_3-1-0_093087_2016-01-03_final
2016-04-03 10:57:45	ga_ls7e_ard_3-1-0_106075_2016-04-03_final
2016-06-22 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-06-22_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2016-12-19 10:32:29	ga_ls7e_ard_3-1-0_102073_2016-12-19_final
2017-01-16 09:22:50	ga_ls7e_ard_3-1-0_090085_2017-01-15_final
2017-01-28 11:21:07	ga_ls7e_ard_3-1-0_110072_2017-01-28_final
2017-07-08 10:27:20	ga_ls7e_ard_3-1-0_101075_2017-07-08_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-10-15 10:58:13	ga_ls7e_ard_3-1-0_106075_2017-10-15_final
2018-01-03 10:57:43	ga_ls7e_ard_3-1-0_106075_2018-01-03_final
2018-12-01 11:15:13	ga_ls7e_ard_3-1-0_110072_2018-12-01_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-03-16 11:06:39	ga_ls7e_ard_3-1-0_109074_2019-03-16_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-03-20 09:04:54	ga_ls7e_ard_3-1-0_089079_2019-03-19_final
2019-03-20 09:06:06	ga_ls7e_ard_3-1-0_089082_2019-03-19_final
2019-03-28 09:50:05	ga_ls7e_ard_3-1-0_097069_2019-03-28_final
2019-07-13 11:07:40	ga_ls7e_ard_3-1-0_110072_2019-07-13_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-08-24 10:03:45	ga_ls7e_ard_3-1-0_100071_2019-08-24_final
2019-09-03 10:40:00	ga_ls7e_ard_3-1-0_106070_2019-09-03_final
2019-09-03 10:42:00	ga_ls7e_ard_3-1-0_106075_2019-09-03_final
2019-09-06 11:11:58	ga_ls7e_ard_3-1-0_111073_2019-09-06_final
2019-09-11 09:53:24	ga_ls7e_ard_3-1-0_098078_2019-09-11_final
2019-09-26 09:12:40	ga_ls7e_ard_3-1-0_091086_2019-09-25_final
2019-09-27 09:48:42	ga_ls7e_ard_3-1-0_098068_2019-09-27_final
2019-10-02 10:12:38	ga_ls7e_ard_3-1-0_101082_2019-10-02_final
2019-10-05 10:37:49	ga_ls7e_ard_3-1-0_106068_2019-10-05_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-24 11:10:19	ga_ls7e_ard_3-1-0_111074_2019-10-24_final
2019-11-05 09:54:25	ga_ls7e_ard_3-1-0_099071_2019-11-05_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-23 09:46:49	ga_ls7e_ard_3-1-0_097085_2019-11-23_final
2019-12-25 11:19:42	ga_ls7e_ard_3-1-0_113074_2019-12-25_final
2019-12-28 10:11:10	ga_ls7e_ard_3-1-0_102073_2019-12-28_final
2020-01-03 11:13:51	ga_ls7e_ard_3-1-0_112076_2020-01-03_final
2020-01-09 10:34:52	ga_ls7e_ard_3-1-0_106072_2020-01-09_final
2020-01-20 10:14:12	ga_ls7e_ard_3-1-0_103068_2020-01-20_final
2020-01-28 09:31:56	ga_ls7e_ard_3-1-0_095087_2020-01-28_final
2020-01-31 09:58:18	ga_ls7e_ard_3-1-0_100076_2020-01-31_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-24 09:11:36	ga_ls7e_ard_3-1-0_092086_2020-02-23_final
2020-02-29 09:24:41	ga_ls7e_ard_3-1-0_095073_2020-02-28_final
2020-03-01 10:11:05	ga_ls7e_ard_3-1-0_102081_2020-03-01_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-11 09:06:45	ga_ls7e_ard_3-1-0_092076_2020-03-10_final
2020-03-29 08:56:59	ga_ls7e_ard_3-1-0_090085_2020-03-28_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-14 10:31:21	ga_ls7e_ard_3-1-0_106076_2020-04-14_final
2020-04-21 10:36:44	ga_ls7e_ard_3-1-0_107075_2020-04-21_final
2021-03-14 10:19:06	ga_ls7e_ard_3-2-0_108070_2021-03-14_final
2021-05-29 08:57:24	ga_ls7e_ard_3-2-0_096067_2021-05-28_final
2021-06-11 08:31:01	ga_ls7e_ard_3-2-0_091081_2021-06-10_final
2021-06-21 09:06:05	ga_ls7e_ard_3-2-0_097078_2021-06-20_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-07-05 09:17:16	ga_ls7e_ard_3-2-0_099078_2021-07-04_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_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