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
1999-11-08 09:05:49	ga_ls7e_ard_3-1-0_089081_1999-11-07_final
2001-12-31 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-12-30_final
2003-01-19 09:04:35	ga_ls7e_ard_3-1-0_089089_2003-01-18_final
2003-05-30 09:33:19	ga_ls7e_ard_3-1-0_094083_2003-05-30_final
2004-08-13 11:05:19	ga_ls7e_ard_3-1-0_109081_2004-08-13_final
2004-10-20 09:01:36	ga_ls7e_ard_3-1-0_089081_2004-10-19_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2005-07-31 09:29:50	ga_ls7e_ard_3-1-0_093088_2005-07-30_final
2005-12-22 11:06:09	ga_ls7e_ard_3-1-0_109081_2005-12-22_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-06-16 09:28:26	ga_ls7e_ard_3-1-0_093083_2006-06-15_final
2006-07-06 09:02:47	ga_ls7e_ard_3-1-0_089081_2006-07-05_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-02-02 09:34:57	ga_ls7e_ard_3-1-0_094083_2007-02-02_final
2007-05-13 09:09:05	ga_ls7e_ard_3-1-0_090080_2007-05-12_final
2007-07-09 09:03:08	ga_ls7e_ard_3-1-0_089081_2007-07-08_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2009-01-15 09:30:08	ga_ls7e_ard_3-1-0_093088_2009-01-15_final
2009-05-02 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-05-01_final
2009-05-27 09:06:33	ga_ls7e_ard_3-1-0_089089_2009-05-26_final
2009-07-14 09:03:15	ga_ls7e_ard_3-1-0_089081_2009-07-13_final
2012-11-07 11:12:21	ga_ls7e_ard_3-1-0_109081_2012-11-07_final
2014-03-29 09:17:39	ga_ls7e_ard_3-1-0_090085_2014-03-28_final
2014-08-29 09:10:32	ga_ls7e_ard_3-1-0_089081_2014-08-28_final
2014-09-20 10:14:02	ga_ls7e_ard_3-1-0_099085_2014-09-20_final
2015-03-25 09:11:57	ga_ls7e_ard_3-1-0_089081_2015-03-24_final
2015-09-17 09:12:51	ga_ls7e_ard_3-1-0_089081_2015-09-16_final
2015-11-05 11:36:46	ga_ls7e_ard_3-1-0_112084_2015-11-05_final
2015-11-20 09:13:42	ga_ls7e_ard_3-1-0_089081_2015-11-19_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2019-02-17 11:29:14	ga_ls7e_ard_3-1-0_112082_2019-02-17_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-20 09:05:42	ga_ls7e_ard_3-1-0_089081_2019-03-19_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-09-09 10:03:27	ga_ls7e_ard_3-1-0_100072_2019-09-09_final
2019-09-24 11:02:00	ga_ls7e_ard_3-1-0_109081_2019-09-24_final
2019-09-30 10:24:16	ga_ls7e_ard_3-1-0_103080_2019-09-30_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-27 10:01:48	ga_ls7e_ard_3-1-0_100073_2019-10-27_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-07 11:24:27	ga_ls7e_ard_3-1-0_113080_2019-11-07_final
2019-11-11 10:58:44	ga_ls7e_ard_3-1-0_109078_2019-11-11_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-04 11:01:02	ga_ls7e_ard_3-1-0_110071_2019-12-04_final
2019-12-13 10:54:24	ga_ls7e_ard_3-1-0_109071_2019-12-13_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2020-01-03 11:16:15	ga_ls7e_ard_3-1-0_112082_2020-01-03_final
2020-01-08 09:53:15	ga_ls7e_ard_3-1-0_099076_2020-01-08_final
2020-01-24 09:54:28	ga_ls7e_ard_3-1-0_099081_2020-01-24_final
2020-02-04 11:14:15	ga_ls7e_ard_3-1-0_112081_2020-02-04_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-02-16 10:00:16	ga_ls7e_ard_3-1-0_100083_2020-02-16_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-03-19 09:54:33	ga_ls7e_ard_3-1-0_100073_2020-03-19_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-08-16 10:48:35	ga_ls7e_ard_3-1-0_110076_2020-08-16_final
2020-08-28 09:34:51	ga_ls7e_ard_3-1-0_098079_2020-08-28_final
2020-09-13 09:31:24	ga_ls7e_ard_3-1-0_098073_2020-09-13_final
2020-09-14 10:13:00	ga_ls7e_ard_3-1-0_105069_2020-09-14_final
2020-09-21 08:46:13	ga_ls7e_ard_3-1-0_090085_2020-09-20_final
2020-09-28 08:51:57	ga_ls7e_ard_3-1-0_091085_2020-09-27_final
2020-09-29 09:28:45	ga_ls7e_ard_3-1-0_098069_2020-09-28_final
2020-09-30 08:37:52	ga_ls7e_ard_3-1-0_089081_2020-09-29_final
2020-10-06 11:17:22	ga_ls7e_ard_3-1-0_115079_2020-10-06_final
2020-10-07 10:19:41	ga_ls7e_ard_3-1-0_106074_2020-10-07_final
2020-10-11 09:53:31	ga_ls7e_ard_3-1-0_102071_2020-10-11_final
2020-10-14 08:50:07	ga_ls7e_ard_3-1-0_091083_2020-10-13_final
2020-10-16 08:37:14	ga_ls7e_ard_3-1-0_089082_2020-10-15_final
2020-10-17 09:17:14	ga_ls7e_ard_3-1-0_096074_2020-10-16_final
2020-10-23 08:44:33	ga_ls7e_ard_3-1-0_090086_2020-10-22_final
2020-10-23 10:16:39	ga_ls7e_ard_3-1-0_106069_2020-10-23_final
2020-10-25 10:06:57	ga_ls7e_ard_3-1-0_104076_2020-10-25_final
2020-10-29 09:44:21	ga_ls7e_ard_3-1-0_100082_2020-10-29_final
2020-11-01 08:34:59	ga_ls7e_ard_3-1-0_089079_2020-10-31_final
2020-11-03 10:02:34	ga_ls7e_ard_3-1-0_103082_2020-11-03_final
2020-11-10 10:06:16	ga_ls7e_ard_3-1-0_104077_2020-11-10_final
2020-11-18 09:19:28	ga_ls7e_ard_3-1-0_096085_2020-11-17_final
2020-11-19 09:57:04	ga_ls7e_ard_3-1-0_103071_2020-11-19_final
2020-11-23 09:36:03	ga_ls7e_ard_3-1-0_099081_2020-11-23_final
2020-11-25 09:22:21	ga_ls7e_ard_3-1-0_097078_2020-11-24_final
2020-11-26 10:06:20	ga_ls7e_ard_3-1-0_104080_2020-11-26_final
2020-11-29 10:38:13	ga_ls7e_ard_3-1-0_109083_2020-11-29_final
2020-12-04 09:13:07	ga_ls7e_ard_3-1-0_096072_2020-12-03_final
2020-12-10 08:42:23	ga_ls7e_ard_3-1-0_090089_2020-12-09_final
2020-12-16 09:38:32	ga_ls7e_ard_3-1-0_100076_2020-12-16_final
2020-12-19 10:10:48	ga_ls7e_ard_3-1-0_105080_2020-12-19_final
2020-12-20 09:17:30	ga_ls7e_ard_3-1-0_096086_2020-12-19_final
2020-12-27 09:16:24	ga_ls7e_ard_3-1-0_097069_2020-12-26_final
2020-12-29 10:48:22	ga_ls7e_ard_3-1-0_111083_2020-12-29_final
2021-01-05 09:15:35	ga_ls7e_ard_3-1-0_096084_2021-01-04_final
2021-01-07 09:03:05	ga_ls7e_ard_3-1-0_094084_2021-01-06_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-19 11:03:26	ga_ls7e_ard_3-1-0_114078_2021-01-19_final
2021-01-24 09:40:45	ga_ls7e_ard_3-2-0_101073_2021-01-24_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