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
2001-10-12 09:01:03	ga_ls7e_ard_3-1-0_089081_2001-10-11_final
2002-12-02 09:01:10	ga_ls7e_ard_3-1-0_089081_2002-12-01_final
2003-08-08 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-08_final
2004-06-30 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-06-29_final
2004-11-08 09:33:32	ga_ls7e_ard_3-1-0_094083_2004-11-08_final
2005-03-05 11:30:32	ga_ls7e_ard_3-1-0_113080_2005-03-05_final
2005-12-11 11:23:05	ga_ls7e_ard_3-1-0_112077_2005-12-11_final
2006-01-09 10:51:59	ga_ls7e_ard_3-1-0_107076_2006-01-09_final
2006-05-03 09:02:58	ga_ls7e_ard_3-1-0_089081_2006-05-02_final
2007-01-26 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-01-25_final
2007-09-18 09:10:29	ga_ls7e_ard_3-1-0_090085_2007-09-17_final
2007-11-26 11:06:43	ga_ls7e_ard_3-1-0_109081_2007-11-26_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2008-05-31 09:10:34	ga_ls7e_ard_3-1-0_090085_2008-05-30_final
2008-06-25 09:02:33	ga_ls7e_ard_3-1-0_089081_2008-06-24_final
2008-06-26 11:25:29	ga_ls7e_ard_3-1-0_112083_2008-06-26_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-07-11 09:02:22	ga_ls7e_ard_3-1-0_089081_2008-07-10_final
2008-08-08 09:29:38	ga_ls7e_ard_3-1-0_093088_2008-08-07_final
2008-09-30 11:23:01	ga_ls7e_ard_3-1-0_112079_2008-09-30_final
2008-10-18 09:33:20	ga_ls7e_ard_3-1-0_094083_2008-10-18_final
2009-04-05 11:06:49	ga_ls7e_ard_3-1-0_109081_2009-04-05_final
2009-05-07 11:06:56	ga_ls7e_ard_3-1-0_109081_2009-05-07_final
2009-07-30 09:03:10	ga_ls7e_ard_3-1-0_089081_2009-07-29_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2010-01-18 09:29:59	ga_ls7e_ard_3-1-0_093083_2010-01-17_final
2010-01-31 10:32:58	ga_ls7e_ard_3-1-0_104070_2010-01-31_final
2010-04-28 09:05:06	ga_ls7e_ard_3-1-0_089081_2010-04-27_final
2010-11-09 09:37:15	ga_ls7e_ard_3-1-0_094083_2010-11-09_final
2011-07-04 09:06:26	ga_ls7e_ard_3-1-0_089081_2011-07-03_final
2012-08-30 09:15:58	ga_ls7e_ard_3-1-0_090085_2012-08-29_final
2012-10-13 09:40:18	ga_ls7e_ard_3-1-0_094083_2012-10-13_final
2013-06-16 10:36:53	ga_ls7e_ard_3-1-0_104070_2013-06-16_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2014-09-30 09:10:45	ga_ls7e_ard_3-1-0_089081_2014-09-29_final
2015-02-01 11:15:12	ga_ls7e_ard_3-1-0_109081_2015-02-01_final
2015-06-04 09:20:14	ga_ls7e_ard_3-1-0_090085_2015-06-03_final
2015-07-15 09:12:39	ga_ls7e_ard_3-1-0_089081_2015-07-14_final
2015-10-03 09:12:51	ga_ls7e_ard_3-1-0_089081_2015-10-02_final
2016-03-02 09:22:39	ga_ls7e_ard_3-1-0_090085_2016-03-01_final
2017-09-15 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-09-15_final
2018-07-24 11:35:14	ga_ls7e_ard_3-1-0_112084_2018-07-24_final
2018-11-05 10:37:58	ga_ls7e_ard_3-1-0_104070_2018-11-05_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-02-28 09:31:52	ga_ls7e_ard_3-1-0_093083_2019-02-28_final
2019-03-02 10:57:56	ga_ls7e_ard_3-1-0_107082_2019-03-02_final
2019-03-07 11:14:19	ga_ls7e_ard_3-1-0_110077_2019-03-07_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-05-19 09:29:01	ga_ls7e_ard_3-1-0_093083_2019-05-18_final
2019-07-10 09:01:35	ga_ls7e_ard_3-1-0_089081_2019-07-09_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-09-08 10:59:31	ga_ls7e_ard_3-1-0_109073_2019-09-08_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-10-01 09:29:01	ga_ls7e_ard_3-1-0_094081_2019-09-30_final
2019-10-10 11:02:08	ga_ls7e_ard_3-1-0_109083_2019-10-10_final
2019-10-17 11:05:38	ga_ls7e_ard_3-1-0_110077_2019-10-17_final
2019-10-26 09:21:47	ga_ls7e_ard_3-1-0_093081_2019-10-25_final
2019-11-01 10:20:07	ga_ls7e_ard_3-1-0_103073_2019-11-01_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-07 11:25:14	ga_ls7e_ard_3-1-0_113082_2019-11-07_final
2019-11-16 11:19:03	ga_ls7e_ard_3-1-0_112083_2019-11-16_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_final
2019-11-22 09:01:36	ga_ls7e_ard_3-1-0_090080_2019-11-21_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-15 10:45:56	ga_ls7e_ard_3-1-0_107081_2019-12-15_final
2019-12-19 10:16:13	ga_ls7e_ard_3-1-0_103069_2019-12-19_final
2019-12-20 09:22:33	ga_ls7e_ard_3-1-0_094074_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2020-01-05 09:24:30	ga_ls7e_ard_3-1-0_094081_2020-01-04_final
2020-01-08 09:52:03	ga_ls7e_ard_3-1-0_099073_2020-01-08_final
2020-01-15 09:59:05	ga_ls7e_ard_3-1-0_100076_2020-01-15_final
2020-01-21 09:24:31	ga_ls7e_ard_3-1-0_094083_2020-01-20_final
2020-01-21 11:01:00	ga_ls7e_ard_3-1-0_110077_2020-01-21_final
2020-01-30 09:18:17	ga_ls7e_ard_3-1-0_093084_2020-01-29_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-06 08:51:17	ga_ls7e_ard_3-1-0_089083_2020-03-05_final
2020-03-23 11:09:18	ga_ls7e_ard_3-1-0_112075_2020-03-23_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-04 09:56:03	ga_ls7e_ard_3-1-0_100079_2020-04-04_final
2020-04-08 11:11:35	ga_ls7e_ard_3-1-0_112083_2020-04-08_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-20 09:53:56	ga_ls7e_ard_3-1-0_100076_2020-04-20_final
2020-04-26 09:18:05	ga_ls7e_ard_3-1-0_094080_2020-04-25_final
2022-03-15 10:03:17	ga_ls7e_ard_3-2-1_110082_2022-03-15_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-31 08:22:53	ga_ls7e_ard_3-2-1_094082_2022-03-30_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-02 09:46:01	ga_ls7e_ard_3-2-1_108074_2022-04-02_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_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