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
1999-08-30 09:42:57	ga_ls7e_ard_3-0-0_095081_1999-08-30_final
2000-01-21 09:42:47	ga_ls7e_ard_3-0-0_095081_2000-01-21_final
2000-10-03 09:41:37	ga_ls7e_ard_3-0-0_095084_2000-10-03_final
2001-01-23 09:40:31	ga_ls7e_ard_3-0-0_095081_2001-01-23_final
2001-03-12 09:37:55	ga_ls7e_ard_3-0-0_095075_2001-03-12_final
2001-08-03 09:39:54	ga_ls7e_ard_3-0-0_095083_2001-08-03_final
2001-08-03 09:40:18	ga_ls7e_ard_3-0-0_095084_2001-08-03_final
2002-01-10 09:40:21	ga_ls7e_ard_3-0-0_095085_2002-01-10_final
2002-03-15 09:36:28	ga_ls7e_ard_3-0-0_095075_2002-03-15_final
2002-12-12 09:37:50	ga_ls7e_ard_3-0-0_095080_2002-12-12_final
2003-07-24 09:39:18	ga_ls7e_ard_3-0-0_095083_2003-07-24_final
2004-09-12 09:36:39	ga_ls7e_ard_3-0-0_095076_2004-09-12_final
2004-11-15 09:38:08	ga_ls7e_ard_3-1-0_095079_2004-11-15_final
2005-05-26 09:38:23	ga_ls7e_ard_3-0-0_095078_2005-05-26_final
2005-12-20 09:38:25	ga_ls7e_ard_3-0-0_095078_2005-12-20_final
2007-04-14 09:40:07	ga_ls7e_ard_3-0-0_095080_2007-04-14_final
2007-08-20 09:40:00	ga_ls7e_ard_3-0-0_095081_2007-08-20_final
2007-12-10 09:40:17	ga_ls7e_ard_3-0-0_095081_2007-12-10_final
2008-05-18 09:39:34	ga_ls7e_ard_3-0-0_095080_2008-05-18_final
2008-07-05 09:38:43	ga_ls7e_ard_3-1-0_095079_2008-07-05_final
2008-10-25 09:40:26	ga_ls7e_ard_3-0-0_095085_2008-10-25_final
2009-05-05 09:40:25	ga_ls7e_ard_3-0-0_095081_2009-05-05_final
2009-08-09 09:38:59	ga_ls7e_ard_3-0-0_095078_2009-08-09_final
2011-05-27 09:41:59	ga_ls7e_ard_3-0-0_095077_2011-05-27_final
2011-12-21 09:42:41	ga_ls7e_ard_3-0-0_095078_2011-12-21_final
2012-01-06 09:43:13	ga_ls7e_ard_3-1-0_095079_2012-01-06_final
2012-08-01 09:47:20	ga_ls7e_ard_3-0-0_095087_2012-08-01_final
2013-01-08 09:44:10	ga_ls7e_ard_3-0-0_095076_2013-01-08_final
2013-01-08 09:47:45	ga_ls7e_ard_3-0-0_095085_2013-01-08_final
2013-07-03 09:45:54	ga_ls7e_ard_3-0-0_095082_2013-07-03_final
2013-09-05 09:45:56	ga_ls7e_ard_3-0-0_095082_2013-09-05_final
2014-09-08 09:48:27	ga_ls7e_ard_3-0-0_095083_2014-09-08_final
2015-05-06 09:48:32	ga_ls7e_ard_3-1-0_095079_2015-05-06_final
2015-05-22 09:49:27	ga_ls7e_ard_3-0-0_095081_2015-05-22_final
2015-06-07 09:46:46	ga_ls7e_ard_3-0-0_095074_2015-06-07_final
2015-09-27 09:49:58	ga_ls7e_ard_3-0-0_095081_2015-09-27_final
2015-10-29 09:48:01	ga_ls7e_ard_3-0-0_095075_2015-10-29_final
2015-11-14 09:49:53	ga_ls7e_ard_3-1-0_095079_2015-11-14_final
2015-11-30 09:48:54	ga_ls7e_ard_3-0-0_095076_2015-11-30_final
2016-03-05 09:50:00	ga_ls7e_ard_3-0-0_095076_2016-03-05_final
2016-11-16 09:52:32	ga_ls7e_ard_3-0-0_095081_2016-11-16_final
2017-05-27 09:50:31	ga_ls7e_ard_3-0-0_095076_2017-05-27_final
2018-03-11 09:51:15	ga_ls7e_ard_3-0-0_095081_2018-03-11_final
2018-10-21 09:45:04	ga_ls7e_ard_3-0-0_095076_2018-10-21_final
2019-06-18 09:37:31	ga_ls7e_ard_3-0-0_095076_2019-06-18_final
2019-11-09 09:31:07	ga_ls7e_ard_3-1-0_095075_2019-11-09_final
2020-01-28 09:28:21	ga_ls7e_ard_3-1-0_095078_2020-01-27_final
2020-02-13 09:26:44	ga_ls7e_ard_3-1-0_095076_2020-02-12_final
2020-04-17 09:23:12	ga_ls7e_ard_3-1-0_095076_2020-04-16_final
2021-01-30 10:44:30	ga_ls7e_ard_3-2-0_111079_2021-01-30_final
2021-02-08 09:01:10	ga_ls7e_ard_3-2-0_094085_2021-02-07_final
2021-02-15 09:02:50	ga_ls7e_ard_3-2-0_095075_2021-02-14_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-02-27 09:26:39	ga_ls7e_ard_3-2-0_099075_2021-02-26_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-14 10:21:53	ga_ls7e_ard_3-2-0_108077_2021-03-14_final
2021-03-14 10:23:05	ga_ls7e_ard_3-2-0_108080_2021-03-14_final
2021-03-29 09:36:13	ga_ls7e_ard_3-2-0_101074_2021-03-29_final
2021-03-30 08:42:07	ga_ls7e_ard_3-2-0_092078_2021-03-29_final
2021-04-02 10:50:51	ga_ls7e_ard_3-2-0_113076_2021-04-02_final
2021-04-05 09:42:13	ga_ls7e_ard_3-2-0_102075_2021-04-05_final
2021-04-15 08:41:35	ga_ls7e_ard_3-2-0_092080_2021-04-14_final
2021-04-17 10:07:08	ga_ls7e_ard_3-2-0_106078_2021-04-17_final
2021-04-22 08:47:10	ga_ls7e_ard_3-2-0_093080_2021-04-21_final
2021-05-01 08:41:26	ga_ls7e_ard_3-2-0_092083_2021-04-30_final
2021-05-05 09:52:28	ga_ls7e_ard_3-2-0_104076_2021-05-05_final
2021-05-05 09:53:40	ga_ls7e_ard_3-2-0_104079_2021-05-05_final
2021-05-20 09:07:57	ga_ls7e_ard_3-2-0_097076_2021-05-19_final
2021-05-26 10:10:01	ga_ls7e_ard_3-2-0_107078_2021-05-26_final
2021-06-04 08:24:12	ga_ls7e_ard_3-2-0_090078_2021-06-03_final
2021-06-09 10:21:13	ga_ls7e_ard_3-2-0_109078_2021-06-09_final
2021-06-17 09:31:55	ga_ls7e_ard_3-2-0_101080_2021-06-17_final
2021-06-27 08:30:30	ga_ls7e_ard_3-2-0_091083_2021-06-26_final
2021-07-04 10:12:34	ga_ls7e_ard_3-2-0_108077_2021-07-04_final
2021-07-06 10:00:50	ga_ls7e_ard_3-2-0_106079_2021-07-06_final
2021-07-18 10:24:56	ga_ls7e_ard_3-2-0_110080_2021-07-18_final
2021-08-01 08:56:48	ga_ls7e_ard_3-2-0_096079_2021-07-31_final
2021-08-28 10:14:22	ga_ls7e_ard_3-2-0_109078_2021-08-28_final
2021-08-28 10:15:10	ga_ls7e_ard_3-2-0_109080_2021-08-28_final
2021-09-11 08:47:26	ga_ls7e_ard_3-2-0_095080_2021-09-10_final
2021-09-20 08:40:27	ga_ls7e_ard_3-2-0_094080_2021-09-19_final
2021-10-29 08:43:08	ga_ls7e_ard_3-2-0_095080_2021-10-28_final
2021-11-25 09:57:41	ga_ls7e_ard_3-2-1_108072_2021-11-25_final
2021-11-29 09:33:47	ga_ls7e_ard_3-2-1_104075_2021-11-29_final
2021-12-01 09:22:26	ga_ls7e_ard_3-2-1_102078_2021-11-30_final
2021-12-09 10:11:08	ga_ls7e_ard_3-2-1_110078_2021-12-09_final
2021-12-31 09:30:42	ga_ls7e_ard_3-2-1_104075_2021-12-31_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-03 10:02:29	ga_ls7e_ard_3-2-1_109078_2022-01-03_final
2022-01-05 09:48:43	ga_ls7e_ard_3-2-1_107075_2022-01-05_final
2022-01-07 09:37:22	ga_ls7e_ard_3-2-1_105078_2022-01-07_final
2022-01-08 08:42:28	ga_ls7e_ard_3-2-1_096080_2022-01-07_final
2022-01-12 08:18:10	ga_ls7e_ard_3-2-1_092082_2022-01-11_final
2022-01-13 09:00:56	ga_ls7e_ard_3-2-1_099081_2022-01-12_final
2022-02-15 09:40:06	ga_ls7e_ard_3-2-1_106079_2022-02-15_final
2022-02-25 08:38:33	ga_ls7e_ard_3-2-1_096082_2022-02-24_final
2022-02-27 08:24:00	ga_ls7e_ard_3-2-1_094077_2022-02-26_final
2022-03-11 08:46:21	ga_ls7e_ard_3-2-1_098074_2022-03-10_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-27 08:44:47	ga_ls7e_ard_3-2-1_098074_2022-03-26_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