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
2002-03-17 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-03-16_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2004-05-16 09:30:13	ga_ls7e_ard_3-1-0_094074_2004-05-16_final
2004-06-10 11:05:35	ga_ls7e_ard_3-1-0_109081_2004-06-10_final
2005-05-19 09:34:13	ga_ls7e_ard_3-1-0_094083_2005-05-19_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2005-11-23 09:57:41	ga_ls7e_ard_3-1-0_098080_2005-11-23_final
2006-03-28 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-03-28_final
2006-05-21 10:25:07	ga_ls7e_ard_3-1-0_103070_2006-05-21_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2006-07-14 09:50:10	ga_ls7e_ard_3-1-0_097076_2006-07-14_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-03-15 09:30:09	ga_ls7e_ard_3-1-0_093086_2007-03-15_final
2008-01-13 09:30:23	ga_ls7e_ard_3-1-0_093087_2008-01-13_final
2008-03-17 09:30:10	ga_ls7e_ard_3-1-0_093087_2008-03-17_final
2008-05-27 11:10:13	ga_ls7e_ard_3-1-0_110075_2008-05-27_final
2009-01-15 09:29:44	ga_ls7e_ard_3-1-0_093087_2009-01-14_final
2010-02-03 09:31:48	ga_ls7e_ard_3-1-0_093087_2010-02-03_final
2010-10-08 11:11:24	ga_ls7e_ard_3-1-0_110072_2010-10-08_final
2011-06-18 09:09:41	ga_ls7e_ard_3-1-0_089089_2011-06-17_final
2011-07-16 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-07-16_final
2013-05-02 09:35:56	ga_ls7e_ard_3-1-0_093087_2013-05-02_final
2013-12-31 10:04:34	ga_ls7e_ard_3-1-0_098080_2013-12-31_final
2014-06-17 09:18:05	ga_ls7e_ard_3-1-0_090085_2014-06-16_final
2015-06-04 09:20:14	ga_ls7e_ard_3-1-0_090085_2015-06-03_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-08-31 10:07:58	ga_ls7e_ard_3-1-0_098080_2015-08-31_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2016-11-10 10:27:16	ga_ls7e_ard_3-1-0_101075_2016-11-10_final
2017-07-07 09:47:16	ga_ls7e_ard_3-1-0_094083_2017-07-07_final
2017-10-05 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-10-05_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2018-10-20 10:38:19	ga_ls7e_ard_3-1-0_104070_2018-10-20_final
2019-02-19 11:17:13	ga_ls7e_ard_3-1-0_110083_2019-02-19_final
2019-02-20 10:19:10	ga_ls7e_ard_3-1-0_101077_2019-02-20_final
2019-02-24 09:51:32	ga_ls7e_ard_3-1-0_097070_2019-02-24_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-12 09:54:13	ga_ls7e_ard_3-1-0_097078_2019-03-12_final
2019-03-13 10:36:38	ga_ls7e_ard_3-1-0_104076_2019-03-13_final
2019-03-17 10:11:47	ga_ls7e_ard_3-1-0_100076_2019-03-17_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-03-28 09:50:29	ga_ls7e_ard_3-1-0_097070_2019-03-28_final
2019-08-14 11:07:34	ga_ls7e_ard_3-1-0_110075_2019-08-14_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-08-31 10:13:37	ga_ls7e_ard_3-1-0_101081_2019-08-31_final
2019-09-08 10:59:55	ga_ls7e_ard_3-1-0_109074_2019-09-08_final
2019-09-15 11:09:47	ga_ls7e_ard_3-1-0_110084_2019-09-15_final
2019-09-19 09:03:12	ga_ls7e_ard_3-1-0_090077_2019-09-18_final
2019-09-24 11:00:00	ga_ls7e_ard_3-1-0_109076_2019-09-24_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-01 11:06:42	ga_ls7e_ard_3-1-0_110078_2019-10-01_final
2019-10-04 10:00:35	ga_ls7e_ard_3-1-0_099083_2019-10-04_final
2019-10-05 09:06:55	ga_ls7e_ard_3-1-0_090088_2019-10-04_final
2019-10-10 11:00:09	ga_ls7e_ard_3-1-0_109078_2019-10-10_final
2019-10-12 10:46:30	ga_ls7e_ard_3-1-0_107075_2019-10-12_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-11-01 10:20:07	ga_ls7e_ard_3-1-0_103073_2019-11-01_final
2019-11-03 10:11:16	ga_ls7e_ard_3-1-0_101082_2019-11-03_final
2019-11-07 09:45:34	ga_ls7e_ard_3-1-0_097080_2019-11-07_final
2019-11-18 11:01:48	ga_ls7e_ard_3-1-0_110071_2019-11-18_final
2019-11-19 10:10:31	ga_ls7e_ard_3-1-0_101082_2019-11-19_final
2019-11-23 11:23:42	ga_ls7e_ard_3-1-0_113080_2019-11-23_final
2019-11-24 10:23:38	ga_ls7e_ard_3-1-0_104069_2019-11-24_final
2019-11-29 10:44:20	ga_ls7e_ard_3-1-0_107075_2019-11-29_final
2019-12-07 09:52:54	ga_ls7e_ard_3-1-0_099071_2019-12-07_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-10 10:24:51	ga_ls7e_ard_3-1-0_104074_2019-12-10_final
2019-12-20 11:05:01	ga_ls7e_ard_3-1-0_110083_2019-12-20_final
2019-12-24 08:59:37	ga_ls7e_ard_3-1-0_090079_2019-12-23_final
2019-12-29 10:54:47	ga_ls7e_ard_3-1-0_109074_2019-12-29_final
2020-01-06 10:05:43	ga_ls7e_ard_3-1-0_101076_2020-01-06_final
2020-01-16 10:42:42	ga_ls7e_ard_3-1-0_107077_2020-01-16_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-02-04 11:08:40	ga_ls7e_ard_3-1-0_112067_2020-02-04_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-17 10:39:53	ga_ls7e_ard_3-1-0_107074_2020-02-17_final
2020-02-18 09:45:25	ga_ls7e_ard_3-1-0_098077_2020-02-18_final
2020-03-02 10:49:54	ga_ls7e_ard_3-1-0_109070_2020-03-02_final
2020-03-09 10:58:54	ga_ls7e_ard_3-1-0_110078_2020-03-09_final
2020-03-10 10:05:13	ga_ls7e_ard_3-1-0_101083_2020-03-10_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-25 09:17:56	ga_ls7e_ard_3-1-0_094075_2020-03-24_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_final
2020-04-04 09:54:51	ga_ls7e_ard_3-1-0_100076_2020-04-04_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-23 09:09:05	ga_ls7e_ard_3-2-1_102072_2022-03-22_final
2022-03-24 09:51:03	ga_ls7e_ard_3-2-1_109069_2022-03-24_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-03-25 09:01:20	ga_ls7e_ard_3-2-1_100084_2022-03-24_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-04 07:57:22	ga_ls7e_ard_3-2-1_090081_2022-04-03_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_2022-04-04_final
2022-04-05 08:37:44	ga_ls7e_ard_3-2-1_097074_2022-04-04_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