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
2000-11-20 09:39:07	ga_ls7e_ard_3-0-0_095078_2000-11-20_final
2001-02-08 09:42:23	ga_ls7e_ard_3-0-0_095086_2001-02-08_final
2002-01-26 09:36:51	ga_ls7e_ard_3-0-0_095076_2002-01-26_final
2002-01-26 09:38:27	ga_ls7e_ard_3-0-0_095080_2002-01-26_final
2003-08-09 09:39:35	ga_ls7e_ard_3-0-0_095084_2003-08-09_final
2003-11-13 09:36:56	ga_ls7e_ard_3-0-0_095077_2003-11-13_final
2004-02-01 09:39:52	ga_ls7e_ard_3-0-0_095083_2004-02-01_final
2004-10-30 09:37:38	ga_ls7e_ard_3-0-0_095078_2004-10-30_final
2005-05-26 09:38:23	ga_ls7e_ard_3-0-0_095078_2005-05-26_final
2005-07-13 09:38:37	ga_ls7e_ard_3-1-0_095079_2005-07-13_final
2005-07-29 09:38:36	ga_ls7e_ard_3-1-0_095079_2005-07-29_final
2005-10-01 09:41:27	ga_ls7e_ard_3-0-0_095087_2005-10-01_final
2006-03-10 09:40:54	ga_ls7e_ard_3-0-0_095083_2006-03-10_final
2008-10-25 09:39:14	ga_ls7e_ard_3-0-0_095082_2008-10-25_final
2009-02-14 09:37:30	ga_ls7e_ard_3-0-0_095075_2009-02-14_final
2009-03-18 09:40:58	ga_ls7e_ard_3-0-0_095083_2009-03-18_final
2009-04-03 09:42:16	ga_ls7e_ard_3-0-0_095086_2009-04-03_final
2009-08-09 09:40:59	ga_ls7e_ard_3-0-0_095083_2009-08-09_final
2009-11-29 09:40:22	ga_ls7e_ard_3-0-0_095080_2009-11-29_final
2010-04-22 09:42:12	ga_ls7e_ard_3-0-0_095081_2010-04-22_final
2011-10-18 09:43:42	ga_ls7e_ard_3-0-0_095082_2011-10-18_final
2012-03-10 09:44:53	ga_ls7e_ard_3-0-0_095083_2012-03-10_final
2012-09-18 09:43:27	ga_ls7e_ard_3-0-0_095076_2012-09-18_final
2013-08-04 09:45:15	ga_ls7e_ard_3-0-0_095081_2013-08-04_final
2013-11-24 09:46:14	ga_ls7e_ard_3-0-0_095081_2013-11-24_final
2014-09-08 09:48:50	ga_ls7e_ard_3-0-0_095084_2014-09-08_final
2015-01-30 09:46:39	ga_ls7e_ard_3-0-0_095076_2015-01-30_final
2016-08-12 09:50:37	ga_ls7e_ard_3-0-0_095076_2016-08-12_final
2017-06-12 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-06-12_final
2017-09-16 09:53:22	ga_ls7e_ard_3-0-0_095083_2017-09-16_final
2017-10-02 09:50:36	ga_ls7e_ard_3-0-0_095076_2017-10-02_final
2018-01-06 09:53:17	ga_ls7e_ard_3-0-0_095084_2018-01-06_final
2018-01-22 09:50:15	ga_ls7e_ard_3-0-0_095077_2018-01-22_final
2018-04-28 09:48:07	ga_ls7e_ard_3-0-0_095075_2018-04-28_final
2018-11-22 09:46:20	ga_ls7e_ard_3-0-0_095081_2018-11-22_final
2019-01-09 09:42:59	ga_ls7e_ard_3-0-0_095076_2019-01-09_final
2019-10-24 09:35:01	ga_ls7e_ard_3-1-0_095083_2019-10-24_final
2019-11-09 09:31:07	ga_ls7e_ard_3-1-0_095075_2019-11-09_final
2020-06-04 09:21:55	ga_ls7e_ard_3-1-0_095080_2020-06-03_final
2020-09-08 09:15:59	ga_ls7e_ard_3-1-0_095080_2020-09-07_final
2021-01-21 09:13:39	ga_ls7e_ard_3-2-0_096082_2021-01-20_final
2021-02-17 10:32:48	ga_ls7e_ard_3-2-0_109084_2021-02-17_final
2021-02-23 09:53:40	ga_ls7e_ard_3-2-0_103080_2021-02-23_final
2021-02-26 08:45:03	ga_ls7e_ard_3-2-0_092079_2021-02-25_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-03-05 08:50:42	ga_ls7e_ard_3-2-0_093079_2021-03-04_final
2021-03-14 10:21:53	ga_ls7e_ard_3-2-0_108077_2021-03-14_final
2021-04-02 09:13:58	ga_ls7e_ard_3-2-0_097081_2021-04-01_final
2021-04-04 10:40:19	ga_ls7e_ard_3-2-0_111081_2021-04-04_final
2021-04-11 09:03:27	ga_ls7e_ard_3-2-0_096072_2021-04-10_final
2021-04-13 08:54:07	ga_ls7e_ard_3-2-0_094080_2021-04-12_final
2021-04-14 09:35:42	ga_ls7e_ard_3-2-0_101076_2021-04-14_final
2021-04-20 09:01:18	ga_ls7e_ard_3-2-0_095084_2021-04-19_final
2021-04-26 08:23:19	ga_ls7e_ard_3-2-0_089083_2021-04-25_final
2021-04-27 09:04:53	ga_ls7e_ard_3-2-0_096079_2021-04-26_final
2021-05-04 09:11:41	ga_ls7e_ard_3-2-0_097082_2021-05-03_final
2021-05-08 10:25:07	ga_ls7e_ard_3-2-0_109081_2021-05-08_final
2021-05-22 10:35:29	ga_ls7e_ard_3-2-0_111079_2021-05-22_final
2021-05-27 09:15:31	ga_ls7e_ard_3-2-0_098081_2021-05-26_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-15 09:41:39	ga_ls7e_ard_3-2-0_103073_2021-06-15_final
2021-06-21 09:03:41	ga_ls7e_ard_3-2-0_097072_2021-06-20_final
2021-06-27 10:06:59	ga_ls7e_ard_3-2-0_107077_2021-06-27_final
2021-07-04 08:34:30	ga_ls7e_ard_3-2-0_092079_2021-07-03_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-11 10:18:33	ga_ls7e_ard_3-2-0_109078_2021-07-11_final
2021-07-12 09:20:52	ga_ls7e_ard_3-2-0_100073_2021-07-11_final
2021-07-17 09:40:10	ga_ls7e_ard_3-2-0_103076_2021-07-17_final
2021-08-13 09:20:51	ga_ls7e_ard_3-2-0_100080_2021-08-12_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-08-15 09:10:18	ga_ls7e_ard_3-2-0_098085_2021-08-14_final
2021-08-21 10:07:59	ga_ls7e_ard_3-2-0_108076_2021-08-21_final
2021-08-30 10:01:26	ga_ls7e_ard_3-2-0_107077_2021-08-30_final
2021-09-16 09:02:44	ga_ls7e_ard_3-2-0_098073_2021-09-15_final
2021-09-17 09:44:42	ga_ls7e_ard_3-2-0_105070_2021-09-17_final
2021-09-21 09:22:01	ga_ls7e_ard_3-2-0_101076_2021-09-20_final
2021-09-25 10:39:01	ga_ls7e_ard_3-2-0_113084_2021-09-25_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-10-20 08:49:44	ga_ls7e_ard_3-2-0_096079_2021-10-19_final
2021-11-04 09:43:34	ga_ls7e_ard_3-2-0_105078_2021-11-04_final
2021-11-05 08:48:40	ga_ls7e_ard_3-2-0_096080_2021-11-04_final
2021-11-13 09:34:08	ga_ls7e_ard_3-2-1_104072_2021-11-13_final
2021-11-16 10:04:44	ga_ls7e_ard_3-2-1_109072_2021-11-16_final
2021-11-28 08:49:49	ga_ls7e_ard_3-2-1_097073_2021-11-27_final
2021-12-02 10:05:36	ga_ls7e_ard_3-2-1_109078_2021-12-02_final
2021-12-06 09:38:31	ga_ls7e_ard_3-2-1_105073_2021-12-06_final
2021-12-08 09:26:46	ga_ls7e_ard_3-2-1_103075_2021-12-07_final
2021-12-23 10:21:20	ga_ls7e_ard_3-2-1_112076_2021-12-23_final
2022-01-01 10:16:39	ga_ls7e_ard_3-2-1_111082_2022-01-01_final
2022-01-03 10:03:41	ga_ls7e_ard_3-2-1_109081_2022-01-03_final
2022-01-12 09:51:52	ga_ls7e_ard_3-2-1_108069_2022-01-12_final
2022-01-15 10:26:04	ga_ls7e_ard_3-2-1_113078_2022-01-15_final
2022-01-18 09:17:00	ga_ls7e_ard_3-2-1_102076_2022-01-17_final
2022-01-26 10:04:28	ga_ls7e_ard_3-2-1_110073_2022-01-26_final
2022-01-30 08:03:40	ga_ls7e_ard_3-2-1_090081_2022-01-29_final
2022-02-03 09:16:38	ga_ls7e_ard_3-2-1_102079_2022-02-02_final
2022-02-10 09:18:54	ga_ls7e_ard_3-2-1_103071_2022-02-09_final
2022-02-24 09:32:16	ga_ls7e_ard_3-2-1_105077_2022-02-24_final
2022-02-25 08:36:57	ga_ls7e_ard_3-2-1_096078_2022-02-24_final
2022-03-13 08:32:59	ga_ls7e_ard_3-2-1_096072_2022-03-12_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