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
2003-10-18 09:01:08	ga_ls7e_ard_3-1-0_089081_2003-10-17_final
2003-10-30 11:04:56	ga_ls7e_ard_3-1-0_109081_2003-10-30_final
2004-03-06 09:29:13	ga_ls7e_ard_3-1-0_093087_2004-03-05_final
2004-04-07 11:05:45	ga_ls7e_ard_3-1-0_109081_2004-04-07_final
2006-01-27 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-01-26_final
2006-11-07 11:06:21	ga_ls7e_ard_3-1-0_109081_2006-11-07_final
2006-12-13 09:03:04	ga_ls7e_ard_3-1-0_089081_2006-12-12_final
2007-03-15 09:30:33	ga_ls7e_ard_3-1-0_093087_2007-03-15_final
2007-12-12 09:30:19	ga_ls7e_ard_3-1-0_093087_2007-12-12_final
2008-01-29 09:30:22	ga_ls7e_ard_3-1-0_093087_2008-01-29_final
2008-09-03 09:59:21	ga_ls7e_ard_3-1-0_099070_2008-09-03_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2011-06-05 11:12:43	ga_ls7e_ard_3-1-0_110072_2011-06-05_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2012-02-13 09:07:02	ga_ls7e_ard_3-1-0_089081_2012-02-12_final
2012-11-27 09:08:54	ga_ls7e_ard_3-1-0_089081_2012-11-26_final
2013-03-15 11:12:39	ga_ls7e_ard_3-1-0_109081_2013-03-15_final
2013-05-12 10:12:11	ga_ls7e_ard_3-1-0_099085_2013-05-12_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-03-10 11:35:08	ga_ls7e_ard_3-1-0_112084_2015-03-10_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-11-13 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-11-12_final
2017-07-29 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-07-29_final
2017-11-25 09:15:27	ga_ls7e_ard_3-1-0_089081_2017-11-24_final
2019-03-04 09:05:26	ga_ls7e_ard_3-1-0_089079_2019-03-03_final
2019-03-04 09:06:13	ga_ls7e_ard_3-1-0_089081_2019-03-03_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-07 11:12:19	ga_ls7e_ard_3-1-0_110072_2019-03-07_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-08-23 11:01:24	ga_ls7e_ard_3-1-0_109076_2019-08-23_final
2019-08-25 10:48:10	ga_ls7e_ard_3-1-0_107074_2019-08-25_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-09-02 09:57:35	ga_ls7e_ard_3-1-0_099072_2019-09-02_final
2019-09-20 11:28:06	ga_ls7e_ard_3-1-0_113084_2019-09-20_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-16 10:24:24	ga_ls7e_ard_3-1-0_103082_2019-10-16_final
2019-10-17 11:03:38	ga_ls7e_ard_3-1-0_110072_2019-10-17_final
2019-10-30 08:58:05	ga_ls7e_ard_3-1-0_089084_2019-10-29_final
2019-11-13 10:43:30	ga_ls7e_ard_3-1-0_107071_2019-11-13_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-18 11:03:48	ga_ls7e_ard_3-1-0_110076_2019-11-18_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-20 11:05:01	ga_ls7e_ard_3-1-0_110083_2019-12-20_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2019-12-29 09:20:17	ga_ls7e_ard_3-1-0_093085_2019-12-28_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-14 10:57:33	ga_ls7e_ard_3-1-0_109083_2020-01-14_final
2020-01-25 09:00:23	ga_ls7e_ard_3-1-0_090085_2020-01-24_final
2020-01-30 10:52:22	ga_ls7e_ard_3-1-0_109072_2020-01-30_final
2020-02-22 11:00:57	ga_ls7e_ard_3-1-0_110081_2020-02-22_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-04-08 11:07:59	ga_ls7e_ard_3-1-0_112074_2020-04-08_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-10 10:59:30	ga_ls7e_ard_3-1-0_110084_2020-04-10_final
2020-04-21 10:36:44	ga_ls7e_ard_3-1-0_107075_2020-04-21_final
2020-04-23 08:49:22	ga_ls7e_ard_3-1-0_089085_2020-04-22_final
2020-08-09 10:40:27	ga_ls7e_ard_3-1-0_109070_2020-08-09_final
2020-08-21 11:09:36	ga_ls7e_ard_3-1-0_113083_2020-08-21_final
2020-08-23 10:57:30	ga_ls7e_ard_3-1-0_111084_2020-08-23_final
2020-09-03 09:00:34	ga_ls7e_ard_3-1-0_092087_2020-09-02_final
2020-09-14 08:40:54	ga_ls7e_ard_3-1-0_089086_2020-09-13_final
2020-09-15 09:17:42	ga_ls7e_ard_3-1-0_096070_2020-09-14_final
2020-09-18 09:51:36	ga_ls7e_ard_3-1-0_101078_2020-09-18_final
2020-09-22 09:25:01	ga_ls7e_ard_3-1-0_097074_2020-09-21_final
2020-09-30 08:37:28	ga_ls7e_ard_3-1-0_089080_2020-09-29_final
2020-10-05 08:54:05	ga_ls7e_ard_3-1-0_092076_2020-10-04_final
2020-10-12 10:41:53	ga_ls7e_ard_3-1-0_109084_2020-10-12_final
2020-11-12 09:52:10	ga_ls7e_ard_3-1-0_102073_2020-11-12_final
2020-11-24 08:42:22	ga_ls7e_ard_3-1-0_090086_2020-11-23_final
2020-11-24 10:16:27	ga_ls7e_ard_3-1-0_106074_2020-11-24_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-11-28 09:49:27	ga_ls7e_ard_3-1-0_102069_2020-11-28_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-05 10:00:18	ga_ls7e_ard_3-1-0_103082_2020-12-05_final
2020-12-11 09:22:22	ga_ls7e_ard_3-1-0_097081_2020-12-10_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-31 10:31:29	ga_ls7e_ard_3-1-0_109072_2020-12-31_final
2021-01-13 10:01:40	ga_ls7e_ard_3-1-0_104077_2021-01-13_final
2021-01-16 10:34:45	ga_ls7e_ard_3-1-0_109083_2021-01-16_final
2021-01-17 09:36:16	ga_ls7e_ard_3-1-0_100076_2021-01-17_final
2021-01-26 11:07:31	ga_ls7e_ard_3-2-0_115074_2021-01-26_final
2021-01-31 09:46:25	ga_ls7e_ard_3-2-0_102073_2021-01-31_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-05 08:28:30	ga_ls7e_ard_3-2-0_089080_2021-02-04_final
2021-02-10 08:47:28	ga_ls7e_ard_3-2-0_092082_2021-02-09_final
2021-02-11 11:07:08	ga_ls7e_ard_3-2-0_115076_2021-02-11_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-10 09:10:50	ga_ls7e_ard_3-2-0_096084_2021-03-09_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-28 10:35:55	ga_ls7e_ard_3-2-0_110084_2021-03-28_final
2021-04-01 10:05:41	ga_ls7e_ard_3-2-0_106071_2021-04-01_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-11 09:08:14	ga_ls7e_ard_3-2-0_096084_2021-04-10_final
2021-04-13 10:30:12	ga_ls7e_ard_3-2-0_110073_2021-04-13_final
2021-04-13 10:33:47	ga_ls7e_ard_3-2-0_110082_2021-04-13_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