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
1999-11-30 11:43:35	ga_ls7e_ard_3-0-0_115074_1999-11-30_final
1999-12-09 11:38:44	ga_ls7e_ard_3-0-0_114077_1999-12-09_final
2000-01-26 11:37:50	ga_ls7e_ard_3-0-0_114075_2000-01-26_final
2000-08-21 11:38:27	ga_ls7e_ard_3-0-0_114081_2000-08-21_final
2000-10-08 11:37:24	ga_ls7e_ard_3-0-0_114080_2000-10-08_final
2002-03-29 11:30:50	ga_ls7e_ard_3-0-0_113083_2002-03-29_final
2002-05-14 11:39:32	ga_ls7e_ard_3-0-0_115074_2002-05-14_final
2002-05-30 11:39:25	ga_ls7e_ard_3-0-0_115074_2002-05-30_final
2002-07-03 11:29:40	ga_ls7e_ard_3-0-0_113081_2002-07-03_final
2002-09-28 11:34:22	ga_ls7e_ard_3-0-0_114079_2002-09-28_final
2003-02-19 11:33:42	ga_ls7e_ard_3-0-0_114075_2003-02-19_final
2003-05-26 11:33:43	ga_ls7e_ard_3-0-0_114075_2003-05-26_final
2004-04-03 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-04-03_final
2004-07-24 11:29:45	ga_ls7e_ard_3-0-0_113080_2004-07-24_final
2004-11-20 11:34:25	ga_ls7e_ard_3-0-0_114076_2004-11-20_final
2005-08-19 11:31:08	ga_ls7e_ard_3-0-0_114067_2005-08-19_final
2005-12-02 11:30:50	ga_ls7e_ard_3-0-0_113081_2005-12-02_final
2006-05-02 11:35:52	ga_ls7e_ard_3-0-0_114077_2006-05-02_final
2006-06-03 11:35:52	ga_ls7e_ard_3-0-0_114077_2006-06-03_final
2007-04-19 11:35:55	ga_ls7e_ard_3-0-0_114076_2007-04-19_final
2009-09-15 11:35:35	ga_ls7e_ard_3-0-0_114076_2009-09-15_final
2009-10-01 11:35:33	ga_ls7e_ard_3-0-0_114076_2009-10-01_final
2010-03-10 11:37:31	ga_ls7e_ard_3-0-0_114076_2010-03-10_final
2010-07-25 11:33:04	ga_ls7e_ard_3-0-0_113080_2010-07-25_final
2010-10-20 11:39:03	ga_ls7e_ard_3-0-0_114079_2010-10-20_final
2011-08-13 11:33:51	ga_ls7e_ard_3-0-0_113079_2011-08-13_final
2012-05-25 11:46:35	ga_ls7e_ard_3-1-0_115077_2012-05-25_final
2012-06-03 11:40:36	ga_ls7e_ard_3-0-0_114078_2012-06-03_final
2013-10-21 11:36:29	ga_ls7e_ard_3-0-0_113079_2013-10-21_final
2013-10-28 11:42:41	ga_ls7e_ard_3-0-0_114079_2013-10-28_final
2014-01-25 11:37:13	ga_ls7e_ard_3-0-0_113079_2014-01-25_final
2014-06-25 11:42:53	ga_ls7e_ard_3-0-0_114076_2014-06-25_final
2014-10-08 11:38:23	ga_ls7e_ard_3-0-0_113079_2014-10-08_final
2014-10-31 11:44:46	ga_ls7e_ard_3-0-0_114079_2014-10-31_final
2016-07-25 11:42:38	ga_ls7e_ard_3-0-0_113078_2016-07-25_final
2017-06-17 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-06-17_final
2017-06-26 11:43:05	ga_ls7e_ard_3-0-0_113079_2017-06-26_final
2017-09-30 11:43:50	ga_ls7e_ard_3-0-0_113081_2017-09-30_final
2018-04-26 11:40:36	ga_ls7e_ard_3-0-0_113078_2018-04-26_final
2018-07-31 11:38:54	ga_ls7e_ard_3-0-0_113078_2018-07-31_final
2018-09-24 11:39:33	ga_ls7e_ard_3-0-0_114067_2018-09-24_final
2018-12-29 11:41:56	ga_ls7e_ard_3-0-0_114079_2018-12-29_final
2019-02-08 11:34:29	ga_ls7e_ard_3-0-0_113079_2019-02-08_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-06-16 11:30:01	ga_ls7e_ard_3-0-0_113079_2019-06-16_final
2019-07-25 11:35:06	ga_ls7e_ard_3-0-0_114080_2019-07-25_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2020-10-15 11:09:24	ga_ls7e_ard_3-1-0_114076_2020-10-15_final
2020-11-22 08:51:40	ga_ls7e_ard_3-1-0_092078_2020-11-21_final
2020-12-16 09:38:32	ga_ls7e_ard_3-1-0_100076_2020-12-16_final
2020-12-29 10:45:58	ga_ls7e_ard_3-1-0_111077_2020-12-29_final
2021-01-15 09:48:46	ga_ls7e_ard_3-1-0_102076_2021-01-15_final
2021-01-21 09:11:40	ga_ls7e_ard_3-2-0_096077_2021-01-20_final
2021-02-02 09:37:06	ga_ls7e_ard_3-2-0_100081_2021-02-02_final
2021-02-16 09:46:01	ga_ls7e_ard_3-2-0_102075_2021-02-16_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-03-07 10:14:16	ga_ls7e_ard_3-2-0_107072_2021-03-07_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-25 10:02:28	ga_ls7e_ard_3-2-0_105077_2021-03-25_final
2021-03-29 09:36:37	ga_ls7e_ard_3-2-0_101075_2021-03-29_final
2021-03-31 09:24:06	ga_ls7e_ard_3-2-0_099075_2021-03-30_final
2021-04-02 09:14:22	ga_ls7e_ard_3-2-0_097082_2021-04-01_final
2021-04-03 09:55:33	ga_ls7e_ard_3-2-0_104077_2021-04-03_final
2021-04-09 10:56:27	ga_ls7e_ard_3-2-0_114076_2021-04-09_final
2021-04-11 10:44:19	ga_ls7e_ard_3-2-0_112077_2021-04-11_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-16 09:31:48	ga_ls7e_ard_3-2-0_101073_2021-05-16_final
2021-05-20 09:07:33	ga_ls7e_ard_3-2-0_097075_2021-05-19_final
2021-05-30 09:42:10	ga_ls7e_ard_3-2-0_103071_2021-05-30_final
2021-05-30 09:43:46	ga_ls7e_ard_3-2-0_103075_2021-05-30_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-17 09:32:19	ga_ls7e_ard_3-2-0_101081_2021-06-17_final
2021-06-29 09:54:27	ga_ls7e_ard_3-2-0_105077_2021-06-29_final
2021-07-07 10:42:49	ga_ls7e_ard_3-2-0_113076_2021-07-07_final
2021-07-23 09:02:58	ga_ls7e_ard_3-2-0_097077_2021-07-22_final
2021-07-31 09:49:19	ga_ls7e_ard_3-2-0_105071_2021-07-31_final
2021-08-03 08:44:16	ga_ls7e_ard_3-2-0_094079_2021-08-02_final
2021-08-09 09:45:32	ga_ls7e_ard_3-2-0_104079_2021-08-09_final
2021-08-18 09:38:57	ga_ls7e_ard_3-2-0_103080_2021-08-18_final
2021-08-30 08:23:22	ga_ls7e_ard_3-2-0_091079_2021-08-29_final
2021-09-01 09:49:18	ga_ls7e_ard_3-2-0_105078_2021-09-01_final
2021-09-16 09:03:08	ga_ls7e_ard_3-2-0_098074_2021-09-15_final
2021-09-18 10:32:40	ga_ls7e_ard_3-2-0_112082_2021-09-18_final
2021-09-28 09:28:46	ga_ls7e_ard_3-2-0_102079_2021-09-27_final
2021-10-04 08:49:10	ga_ls7e_ard_3-2-0_096074_2021-10-03_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-30 10:20:09	ga_ls7e_ard_3-2-1_111083_2021-11-30_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-01-25 09:22:54	ga_ls7e_ard_3-2-1_103077_2022-01-24_final
2022-01-31 08:45:14	ga_ls7e_ard_3-2-1_097077_2022-01-30_final
2022-02-07 08:50:18	ga_ls7e_ard_3-2-1_098076_2022-02-06_final
2022-02-10 09:20:30	ga_ls7e_ard_3-2-1_103075_2022-02-09_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-16 10:21:40	ga_ls7e_ard_3-2-1_113075_2022-02-16_final
2022-02-18 08:30:14	ga_ls7e_ard_3-2-1_095075_2022-02-17_final
2022-02-23 08:48:19	ga_ls7e_ard_3-2-1_098075_2022-02-22_final
2022-03-06 10:07:59	ga_ls7e_ard_3-2-1_111076_2022-03-06_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years