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
2000-10-03 09:42:25	ga_ls7e_ard_3-0-0_095086_2000-10-03_final
2002-09-23 09:38:34	ga_ls7e_ard_3-0-0_095083_2002-09-23_final
2003-05-05 09:36:22	ga_ls7e_ard_3-0-0_095075_2003-05-05_final
2004-02-01 09:37:29	ga_ls7e_ard_3-0-0_095077_2004-02-01_final
2004-12-17 09:37:13	ga_ls7e_ard_3-0-0_095076_2004-12-17_final
2004-12-17 09:40:24	ga_ls7e_ard_3-0-0_095084_2004-12-17_final
2005-03-07 09:37:18	ga_ls7e_ard_3-0-0_095075_2005-03-07_final
2005-03-23 09:41:41	ga_ls7e_ard_3-0-0_095086_2005-03-23_final
2006-11-21 09:37:59	ga_ls7e_ard_3-0-0_095076_2006-11-21_final
2007-02-25 09:38:04	ga_ls7e_ard_3-0-0_095075_2007-02-25_final
2007-07-03 09:41:02	ga_ls7e_ard_3-0-0_095083_2007-07-03_final
2007-09-21 09:40:35	ga_ls7e_ard_3-0-0_095083_2007-09-21_final
2008-11-26 09:38:53	ga_ls7e_ard_3-0-0_095080_2008-11-26_final
2009-08-25 09:39:46	ga_ls7e_ard_3-0-0_095080_2009-08-25_final
2010-05-08 09:42:57	ga_ls7e_ard_3-0-0_095083_2010-05-08_final
2010-12-02 09:42:31	ga_ls7e_ard_3-0-0_095080_2010-12-02_final
2011-06-28 09:44:43	ga_ls7e_ard_3-0-0_095084_2011-06-28_final
2012-03-10 09:43:41	ga_ls7e_ard_3-0-0_095080_2012-03-10_final
2012-06-14 09:42:24	ga_ls7e_ard_3-0-0_095076_2012-06-14_final
2012-09-18 09:43:27	ga_ls7e_ard_3-0-0_095076_2012-09-18_final
2012-09-18 09:45:27	ga_ls7e_ard_3-0-0_095081_2012-09-18_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-04-14 09:45:36	ga_ls7e_ard_3-0-0_095080_2013-04-14_final
2013-05-16 09:46:16	ga_ls7e_ard_3-0-0_095082_2013-05-16_final
2013-11-08 09:46:09	ga_ls7e_ard_3-0-0_095081_2013-11-08_final
2014-06-04 09:47:00	ga_ls7e_ard_3-0-0_095080_2014-06-04_final
2014-12-29 09:47:42	ga_ls7e_ard_3-1-0_095079_2014-12-29_final
2015-04-04 09:50:18	ga_ls7e_ard_3-0-0_095084_2015-04-04_final
2015-10-29 09:52:01	ga_ls7e_ard_3-0-0_095085_2015-10-29_final
2015-11-30 09:50:30	ga_ls7e_ard_3-0-0_095080_2015-11-30_final
2016-01-17 09:52:51	ga_ls7e_ard_3-0-0_095084_2016-01-17_final
2016-03-21 09:51:19	ga_ls7e_ard_3-1-0_095079_2016-03-21_final
2017-01-19 09:51:42	ga_ls7e_ard_3-0-0_095080_2017-01-19_final
2019-01-09 09:46:34	ga_ls7e_ard_3-0-0_095085_2019-01-09_final
2019-07-20 09:39:52	ga_ls7e_ard_3-0-0_095085_2019-07-20_final
2019-08-21 09:34:34	ga_ls7e_ard_3-0-0_095075_2019-08-21_final
2019-10-08 09:34:30	ga_ls7e_ard_3-1-0_095080_2019-10-08_final
2020-07-22 09:17:27	ga_ls7e_ard_3-1-0_095076_2020-07-21_final
2020-10-10 09:14:42	ga_ls7e_ard_3-1-0_095082_2020-10-09_final
2020-10-10 09:15:30	ga_ls7e_ard_3-1-0_095084_2020-10-09_final
2021-02-09 09:41:34	ga_ls7e_ard_3-2-0_101078_2021-02-09_final
2021-02-13 09:18:32	ga_ls7e_ard_3-2-0_097083_2021-02-12_final
2021-02-13 10:54:14	ga_ls7e_ard_3-2-0_113075_2021-02-13_final
2021-02-24 10:36:51	ga_ls7e_ard_3-2-0_110080_2021-02-24_final
2021-03-03 09:05:36	ga_ls7e_ard_3-2-0_095085_2021-03-02_final
2021-03-06 09:34:16	ga_ls7e_ard_3-2-0_100080_2021-03-06_final
2021-03-10 09:05:39	ga_ls7e_ard_3-2-0_096071_2021-03-09_final
2021-03-14 10:22:41	ga_ls7e_ard_3-2-0_108079_2021-03-14_final
2021-03-30 08:41:19	ga_ls7e_ard_3-2-0_092076_2021-03-29_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-04 09:02:38	ga_ls7e_ard_3-2-0_095084_2021-04-03_final
2021-04-10 08:23:28	ga_ls7e_ard_3-2-0_089080_2021-04-09_final
2021-04-20 09:00:54	ga_ls7e_ard_3-2-0_095083_2021-04-19_final
2021-04-20 09:01:18	ga_ls7e_ard_3-2-0_095084_2021-04-19_final
2021-05-19 10:02:03	ga_ls7e_ard_3-2-0_106072_2021-05-19_final
2021-05-21 09:50:19	ga_ls7e_ard_3-2-0_104074_2021-05-21_final
2021-05-31 10:28:08	ga_ls7e_ard_3-2-0_110078_2021-05-31_final
2021-06-03 09:17:54	ga_ls7e_ard_3-2-0_099073_2021-06-02_final
2021-06-09 08:40:45	ga_ls7e_ard_3-2-0_093074_2021-06-08_final
2021-06-28 09:08:29	ga_ls7e_ard_3-2-0_098070_2021-06-27_final
2021-07-06 09:58:03	ga_ls7e_ard_3-2-0_106072_2021-07-06_final
2021-07-11 08:38:29	ga_ls7e_ard_3-2-0_093075_2021-07-10_final
2021-07-11 10:18:10	ga_ls7e_ard_3-2-0_109077_2021-07-11_final
2021-07-17 09:39:22	ga_ls7e_ard_3-2-0_103074_2021-07-17_final
2021-07-24 09:47:20	ga_ls7e_ard_3-2-0_104080_2021-07-24_final
2021-07-25 08:52:26	ga_ls7e_ard_3-2-0_095082_2021-07-24_final
2021-08-12 10:13:22	ga_ls7e_ard_3-2-0_109072_2021-08-12_final
2021-08-13 09:19:15	ga_ls7e_ard_3-2-0_100076_2021-08-12_final
2021-08-30 10:02:38	ga_ls7e_ard_3-2-0_107080_2021-08-30_final
2021-09-01 08:11:14	ga_ls7e_ard_3-2-0_089080_2021-08-31_final
2021-09-20 08:38:27	ga_ls7e_ard_3-2-0_094075_2021-09-19_final
2021-10-14 09:25:46	ga_ls7e_ard_3-2-0_102075_2021-10-13_final
2021-10-19 08:08:10	ga_ls7e_ard_3-2-0_089083_2021-10-18_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-26 09:50:36	ga_ls7e_ard_3-2-0_106078_2021-10-26_final
2021-10-31 08:33:47	ga_ls7e_ard_3-2-0_093088_2021-10-30_final
2021-11-13 09:36:32	ga_ls7e_ard_3-2-1_104078_2021-11-13_final
2021-12-09 08:32:39	ga_ls7e_ard_3-2-1_094079_2021-12-08_final
2021-12-10 09:14:13	ga_ls7e_ard_3-2-1_101075_2021-12-09_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-20 09:53:32	ga_ls7e_ard_3-2-1_107083_2021-12-20_final
2021-12-26 09:12:40	ga_ls7e_ard_3-2-1_101075_2021-12-25_final
2021-12-29 08:05:59	ga_ls7e_ard_3-2-1_090079_2021-12-28_final
2022-01-01 08:36:58	ga_ls7e_ard_3-2-1_095080_2021-12-31_final
2022-01-04 09:07:33	ga_ls7e_ard_3-2-1_100080_2022-01-03_final
2022-01-09 09:24:26	ga_ls7e_ard_3-2-1_103077_2022-01-08_final
2022-02-06 08:08:21	ga_ls7e_ard_3-2-1_091079_2022-02-05_final
2022-02-06 08:09:33	ga_ls7e_ard_3-2-1_091082_2022-02-05_final
2022-02-07 10:29:35	ga_ls7e_ard_3-2-1_114077_2022-02-07_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-17 09:23:57	ga_ls7e_ard_3-2-1_104070_2022-02-16_final
2022-02-20 09:58:58	ga_ls7e_ard_3-2-1_109081_2022-02-20_final
2022-03-02 10:32:18	ga_ls7e_ard_3-2-1_115074_2022-03-02_final
2022-03-04 10:22:32	ga_ls7e_ard_3-2-1_113081_2022-03-04_final
2022-03-09 09:01:42	ga_ls7e_ard_3-2-1_100081_2022-03-08_final
2022-03-19 07:58:54	ga_ls7e_ard_3-2-1_090081_2022-03-18_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-24 08:16:58	ga_ls7e_ard_3-2-1_093081_2022-03-23_final
2022-03-24 09:55:03	ga_ls7e_ard_3-2-1_109079_2022-03-24_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