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
1999-07-19 09:05:42	ga_ls7e_ard_3-1-0_089081_1999-07-18_final
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
2001-07-18 09:36:08	ga_ls7e_ard_3-1-0_095073_2001-07-18_final
2001-09-24 09:15:44	ga_ls7e_ard_3-1-0_091086_2001-09-23_final
2001-12-19 10:16:31	ga_ls7e_ard_3-1-0_101083_2001-12-19_final
2002-04-13 10:44:24	ga_ls7e_ard_3-1-0_106075_2002-04-13_final
2002-12-12 09:35:02	ga_ls7e_ard_3-1-0_095073_2002-12-12_final
2003-01-08 10:56:15	ga_ls7e_ard_3-1-0_108075_2003-01-08_final
2003-02-07 11:07:45	ga_ls7e_ard_3-1-0_110072_2003-02-07_final
2003-09-19 11:07:20	ga_ls7e_ard_3-1-0_110072_2003-09-19_final
2004-11-15 09:35:44	ga_ls7e_ard_3-1-0_095073_2004-11-15_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-05-06 11:41:37	ga_ls7e_ard_3-1-0_115077_2005-05-06_final
2005-06-06 11:00:15	ga_ls7e_ard_3-1-0_108082_2005-06-06_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2007-05-22 09:03:14	ga_ls7e_ard_3-1-0_089081_2007-05-21_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2008-01-08 09:11:03	ga_ls7e_ard_3-1-0_090085_2008-01-07_final
2010-03-23 09:29:48	ga_ls7e_ard_3-1-0_093081_2010-03-22_final
2012-03-03 11:13:13	ga_ls7e_ard_3-1-0_110072_2012-03-03_final
2012-10-27 11:28:06	ga_ls7e_ard_3-1-0_112074_2012-10-27_final
2013-09-14 09:33:52	ga_ls7e_ard_3-1-0_094067_2013-09-14_final
2013-10-16 11:15:07	ga_ls7e_ard_3-1-0_110072_2013-10-16_final
2013-11-01 11:15:10	ga_ls7e_ard_3-1-0_110072_2013-11-01_final
2013-12-03 11:15:26	ga_ls7e_ard_3-1-0_110072_2013-12-03_final
2014-03-16 11:26:09	ga_ls7e_ard_3-1-0_111082_2014-03-16_final
2014-03-22 09:09:50	ga_ls7e_ard_3-1-0_089081_2014-03-21_final
2014-06-01 10:52:58	ga_ls7e_ard_3-1-0_106075_2014-06-01_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-08-12 10:05:47	ga_ls7e_ard_3-1-0_098080_2014-08-12_final
2014-09-01 11:16:44	ga_ls7e_ard_3-1-0_110072_2014-09-01_final
2014-09-30 09:10:45	ga_ls7e_ard_3-1-0_089081_2014-09-29_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2014-12-03 09:11:18	ga_ls7e_ard_3-1-0_089081_2014-12-02_final
2015-05-03 10:54:54	ga_ls7e_ard_3-1-0_106075_2015-05-03_final
2016-11-29 10:58:06	ga_ls7e_ard_3-1-0_106075_2016-11-29_final
2017-07-07 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-07_final
2017-08-16 10:32:40	ga_ls7e_ard_3-1-0_102073_2017-08-16_final
2017-12-14 09:40:36	ga_ls7e_ard_3-1-0_094067_2017-12-14_final
2017-12-17 11:54:21	ga_ls7e_ard_3-1-0_115077_2017-12-17_final
2018-07-26 09:43:33	ga_ls7e_ard_3-1-0_094083_2018-07-26_final
2018-09-12 09:36:13	ga_ls7e_ard_3-1-0_094067_2018-09-12_final
2019-01-22 09:15:15	ga_ls7e_ard_3-1-0_090085_2019-01-21_final
2019-02-16 09:08:19	ga_ls7e_ard_3-1-0_089085_2019-02-15_final
2019-02-19 11:14:49	ga_ls7e_ard_3-1-0_110077_2019-02-19_final
2019-02-21 09:27:06	ga_ls7e_ard_3-1-0_092086_2019-02-20_final
2019-02-24 11:34:48	ga_ls7e_ard_3-1-0_113081_2019-02-24_final
2019-03-11 09:15:46	ga_ls7e_ard_3-1-0_090090_2019-03-10_final
2019-03-21 09:50:08	ga_ls7e_ard_3-1-0_096084_2019-03-21_final
2019-03-21 11:22:14	ga_ls7e_ard_3-1-0_112067_2019-03-21_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-09-20 11:28:06	ga_ls7e_ard_3-1-0_113084_2019-09-20_final
2019-09-28 08:57:02	ga_ls7e_ard_3-1-0_089078_2019-09-27_final
2019-10-01 09:26:13	ga_ls7e_ard_3-1-0_094074_2019-09-30_final
2019-10-09 10:12:56	ga_ls7e_ard_3-1-0_102068_2019-10-09_final
2019-10-12 09:08:01	ga_ls7e_ard_3-1-0_091076_2019-10-11_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-28 10:44:13	ga_ls7e_ard_3-1-0_107071_2019-10-28_final
2019-10-31 11:17:47	ga_ls7e_ard_3-1-0_112078_2019-10-31_final
2019-11-04 09:16:00	ga_ls7e_ard_3-1-0_092083_2019-11-03_final
2019-11-05 11:34:30	ga_ls7e_ard_3-1-0_115074_2019-11-05_final
2019-11-10 10:17:07	ga_ls7e_ard_3-1-0_102082_2019-11-10_final
2019-11-13 10:43:30	ga_ls7e_ard_3-1-0_107071_2019-11-13_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-28 10:04:19	ga_ls7e_ard_3-1-0_100083_2019-11-28_final
2019-12-03 10:20:13	ga_ls7e_ard_3-1-0_103077_2019-12-03_final
2019-12-22 10:49:22	ga_ls7e_ard_3-1-0_108075_2019-12-22_final
2019-12-23 11:32:58	ga_ls7e_ard_3-1-0_115076_2019-12-23_final
2020-01-05 11:04:35	ga_ls7e_ard_3-1-0_110084_2020-01-05_final
2020-01-09 10:36:28	ga_ls7e_ard_3-1-0_106076_2020-01-09_final
2020-02-20 09:31:21	ga_ls7e_ard_3-1-0_096073_2020-02-20_final
2020-02-23 10:04:05	ga_ls7e_ard_3-1-0_101078_2020-02-23_final
2020-02-24 09:10:25	ga_ls7e_ard_3-1-0_092083_2020-02-23_final
2020-03-08 10:13:42	ga_ls7e_ard_3-1-0_103073_2020-03-08_final
2020-03-13 10:31:10	ga_ls7e_ard_3-1-0_106071_2020-03-13_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-03-18 10:51:26	ga_ls7e_ard_3-1-0_109076_2020-03-18_final
2020-03-21 09:46:52	ga_ls7e_ard_3-1-0_098085_2020-03-21_final
2020-03-25 09:19:56	ga_ls7e_ard_3-1-0_094080_2020-03-24_final
2020-03-26 10:01:09	ga_ls7e_ard_3-1-0_101075_2020-03-26_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-03-31 10:21:24	ga_ls7e_ard_3-1-0_104080_2020-03-31_final
2020-04-08 09:29:30	ga_ls7e_ard_3-1-0_096075_2020-04-07_final
2020-04-20 09:51:56	ga_ls7e_ard_3-1-0_100071_2020-04-20_final
2020-04-21 09:01:27	ga_ls7e_ard_3-1-0_091084_2020-04-20_final
2020-04-22 11:19:56	ga_ls7e_ard_3-1-0_114075_2020-04-22_final
2020-04-24 11:07:27	ga_ls7e_ard_3-1-0_112075_2020-04-24_final
2021-02-27 09:27:02	ga_ls7e_ard_3-2-0_099076_2021-02-26_final
2021-04-18 09:14:14	ga_ls7e_ard_3-2-0_097085_2021-04-17_final
2021-06-07 10:29:21	ga_ls7e_ard_3-2-0_111067_2021-06-07_final
2021-06-26 09:21:49	ga_ls7e_ard_3-2-0_100072_2021-06-25_final
2021-07-16 08:55:48	ga_ls7e_ard_3-2-0_096073_2021-07-15_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-10-18 10:39:34	ga_ls7e_ard_3-2-0_114075_2021-10-18_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-10 09:17:24	ga_ls7e_ard_3-2-1_101083_2021-12-09_final
2021-12-13 08:11:32	ga_ls7e_ard_3-2-1_090089_2021-12-12_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