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
1999-08-09 11:00:51	ga_ls7e_ard_3-1-0_108075_1999-08-09_final
2001-05-15 09:36:40	ga_ls7e_ard_3-1-0_095073_2001-05-15_final
2001-06-29 10:44:55	ga_ls7e_ard_3-1-0_106075_2001-06-29_final
2001-09-01 10:44:15	ga_ls7e_ard_3-1-0_106075_2001-09-01_final
2003-07-17 11:07:40	ga_ls7e_ard_3-1-0_110072_2003-07-17_final
2004-03-27 09:47:27	ga_ls7e_ard_3-1-0_096086_2004-03-27_final
2004-05-02 10:57:07	ga_ls7e_ard_3-1-0_108075_2004-05-02_final
2005-06-06 10:57:28	ga_ls7e_ard_3-1-0_108075_2005-06-06_final
2005-06-17 09:02:21	ga_ls7e_ard_3-1-0_089081_2005-06-16_final
2006-02-13 09:48:13	ga_ls7e_ard_3-1-0_096086_2006-02-13_final
2006-08-14 10:45:15	ga_ls7e_ard_3-1-0_106075_2006-08-14_final
2006-11-23 09:30:02	ga_ls7e_ard_3-1-0_093087_2006-11-23_final
2006-12-13 09:03:04	ga_ls7e_ard_3-1-0_089081_2006-12-12_final
2006-12-20 10:45:46	ga_ls7e_ard_3-1-0_106075_2006-12-20_final
2007-01-08 09:37:01	ga_ls7e_ard_3-1-0_095073_2007-01-08_final
2007-07-21 09:29:48	ga_ls7e_ard_3-1-0_093086_2007-07-20_final
2007-07-26 09:48:19	ga_ls7e_ard_3-1-0_096086_2007-07-26_final
2007-11-30 09:06:20	ga_ls7e_ard_3-1-0_089089_2007-11-29_final
2009-09-12 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-09-11_final
2010-06-02 11:11:14	ga_ls7e_ard_3-1-0_110072_2010-06-02_final
2010-06-22 10:47:45	ga_ls7e_ard_3-1-0_106075_2010-06-22_final
2010-11-07 11:28:28	ga_ls7e_ard_3-1-0_112083_2010-11-07_final
2011-02-11 11:29:41	ga_ls7e_ard_3-1-0_112084_2011-02-11_final
2011-05-27 11:22:52	ga_ls7e_ard_3-1-0_111082_2011-05-27_final
2011-08-06 09:51:36	ga_ls7e_ard_3-1-0_096086_2011-08-06_final
2011-08-24 11:12:30	ga_ls7e_ard_3-1-0_110072_2011-08-24_final
2013-01-21 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-01-21_final
2014-01-17 09:12:43	ga_ls7e_ard_3-1-0_089089_2014-01-16_final
2014-06-13 09:35:38	ga_ls7e_ard_3-1-0_094067_2014-06-13_final
2014-12-29 09:45:18	ga_ls7e_ard_3-1-0_095073_2014-12-29_final
2015-03-03 09:45:41	ga_ls7e_ard_3-1-0_095073_2015-03-03_final
2015-08-03 09:38:01	ga_ls7e_ard_3-1-0_094067_2015-08-03_final
2015-11-11 10:56:13	ga_ls7e_ard_3-1-0_106075_2015-11-11_final
2016-02-08 09:14:46	ga_ls7e_ard_3-1-0_089081_2016-02-07_final
2016-07-02 10:00:44	ga_ls7e_ard_3-1-0_096086_2016-07-02_final
2016-12-29 11:10:17	ga_ls7e_ard_3-1-0_108075_2016-12-29_final
2017-03-21 10:57:47	ga_ls7e_ard_3-1-0_106075_2017-03-21_final
2017-06-21 09:40:52	ga_ls7e_ard_3-1-0_094067_2017-06-21_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2018-07-12 11:07:07	ga_ls7e_ard_3-1-0_108075_2018-07-12_final
2018-10-14 11:17:32	ga_ls7e_ard_3-1-0_110075_2018-10-14_final
2018-11-03 10:52:22	ga_ls7e_ard_3-1-0_106075_2018-11-03_final
2018-12-05 10:51:35	ga_ls7e_ard_3-1-0_106075_2018-12-05_final
2019-02-19 09:34:44	ga_ls7e_ard_3-1-0_094074_2019-02-19_final
2019-02-23 09:13:05	ga_ls7e_ard_3-1-0_090082_2019-02-22_final
2019-02-24 09:51:55	ga_ls7e_ard_3-1-0_097071_2019-02-24_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-21 09:45:44	ga_ls7e_ard_3-1-0_096073_2019-03-21_final
2019-03-23 11:12:59	ga_ls7e_ard_3-1-0_110075_2019-03-23_final
2019-03-26 10:06:54	ga_ls7e_ard_3-1-0_099080_2019-03-26_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-08-25 10:48:34	ga_ls7e_ard_3-1-0_107075_2019-08-25_final
2019-08-26 09:53:42	ga_ls7e_ard_3-1-0_098077_2019-08-26_final
2019-09-01 10:52:51	ga_ls7e_ard_3-1-0_108071_2019-09-01_final
2019-09-02 09:57:11	ga_ls7e_ard_3-1-0_099071_2019-09-02_final
2019-09-04 11:24:49	ga_ls7e_ard_3-1-0_113074_2019-09-04_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-27 09:48:18	ga_ls7e_ard_3-1-0_098067_2019-09-27_final
2019-09-29 11:14:45	ga_ls7e_ard_3-1-0_112067_2019-09-29_final
2019-10-01 11:05:30	ga_ls7e_ard_3-1-0_110075_2019-10-01_final
2019-10-09 10:14:56	ga_ls7e_ard_3-1-0_102073_2019-10-09_final
2019-10-17 11:04:50	ga_ls7e_ard_3-1-0_110075_2019-10-17_final
2019-10-26 09:23:46	ga_ls7e_ard_3-1-0_093086_2019-10-25_final
2019-11-01 10:22:55	ga_ls7e_ard_3-1-0_103080_2019-11-01_final
2019-11-02 11:04:08	ga_ls7e_ard_3-1-0_110075_2019-11-02_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-09 11:09:36	ga_ls7e_ard_3-1-0_111074_2019-11-09_final
2019-11-11 10:57:09	ga_ls7e_ard_3-1-0_109074_2019-11-11_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-22 09:00:24	ga_ls7e_ard_3-1-0_090077_2019-11-21_final
2019-11-29 10:42:44	ga_ls7e_ard_3-1-0_107071_2019-11-29_final
2019-11-30 09:52:39	ga_ls7e_ard_3-1-0_098085_2019-11-30_final
2019-12-01 08:54:59	ga_ls7e_ard_3-1-0_089080_2019-11-30_final
2019-12-06 09:12:05	ga_ls7e_ard_3-1-0_092077_2019-12-05_final
2019-12-08 08:59:38	ga_ls7e_ard_3-1-0_090077_2019-12-07_final
2019-12-23 09:56:05	ga_ls7e_ard_3-1-0_099081_2019-12-23_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2019-12-29 09:16:18	ga_ls7e_ard_3-1-0_093075_2019-12-28_final
2019-12-29 10:54:23	ga_ls7e_ard_3-1-0_109073_2019-12-29_final
2020-01-01 09:44:15	ga_ls7e_ard_3-1-0_098068_2020-01-01_final
2020-01-01 09:45:27	ga_ls7e_ard_3-1-0_098071_2020-01-01_final
2020-01-08 09:54:51	ga_ls7e_ard_3-1-0_099080_2020-01-08_final
2020-01-17 09:43:26	ga_ls7e_ard_3-1-0_098068_2020-01-17_final
2020-01-19 11:12:15	ga_ls7e_ard_3-1-0_112074_2020-01-19_final
2020-03-05 09:42:58	ga_ls7e_ard_3-1-0_098073_2020-03-05_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-09 10:57:18	ga_ls7e_ard_3-1-0_110074_2020-03-09_final
2020-03-28 09:46:17	ga_ls7e_ard_3-1-0_099069_2020-03-28_final
2020-03-30 09:39:47	ga_ls7e_ard_3-1-0_097084_2020-03-30_final
2020-04-03 10:53:20	ga_ls7e_ard_3-1-0_109083_2020-04-03_final
2020-04-13 11:28:14	ga_ls7e_ard_3-1-0_115079_2020-04-13_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_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