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
1999-10-22 11:39:03	ga_ls7e_ard_3-0-0_114078_1999-10-22_final
2000-01-26 11:38:38	ga_ls7e_ard_3-0-0_114077_2000-01-26_final
2001-09-09 11:34:24	ga_ls7e_ard_3-0-0_114077_2001-09-09_final
2001-10-27 11:34:08	ga_ls7e_ard_3-0-0_114077_2001-10-27_final
2001-11-28 11:34:47	ga_ls7e_ard_3-0-0_114078_2001-11-28_final
2001-12-07 11:30:11	ga_ls7e_ard_3-0-0_113082_2001-12-07_final
2002-01-24 11:30:30	ga_ls7e_ard_3-0-0_113082_2002-01-24_final
2002-01-29 11:47:22	ga_ls7e_ard_3-0-0_116078_2002-01-29_final
2002-01-31 11:35:25	ga_ls7e_ard_3-0-0_114079_2002-01-31_final
2002-12-10 11:30:17	ga_ls7e_ard_3-0-0_113083_2002-12-10_final
2003-02-26 11:41:27	ga_ls7e_ard_3-0-0_115079_2003-02-26_final
2003-12-04 11:34:06	ga_ls7e_ard_3-0-0_114076_2003-12-04_final
2004-01-21 11:34:26	ga_ls7e_ard_3-0-0_114076_2004-01-21_final
2004-07-15 11:30:48	ga_ls7e_ard_3-0-0_114067_2004-07-15_final
2004-07-24 11:30:09	ga_ls7e_ard_3-0-0_113081_2004-07-24_final
2004-08-16 11:30:38	ga_ls7e_ard_3-0-0_114067_2004-08-16_final
2004-08-16 11:35:49	ga_ls7e_ard_3-0-0_114080_2004-08-16_final
2004-09-01 11:34:10	ga_ls7e_ard_3-0-0_114076_2004-09-01_final
2005-05-08 11:30:51	ga_ls7e_ard_3-0-0_113081_2005-05-08_final
2006-12-12 11:35:59	ga_ls7e_ard_3-0-0_114077_2006-12-12_final
2007-08-09 11:36:18	ga_ls7e_ard_3-0-0_114078_2007-08-09_final
2008-09-12 11:30:46	ga_ls7e_ard_3-0-0_114067_2008-09-12_final
2010-08-10 11:33:26	ga_ls7e_ard_3-0-0_113081_2010-08-10_final
2010-09-18 11:38:55	ga_ls7e_ard_3-0-0_114079_2010-09-18_final
2011-08-13 11:34:39	ga_ls7e_ard_3-0-0_113081_2011-08-13_final
2012-05-25 11:47:23	ga_ls7e_ard_3-0-0_115079_2012-05-25_final
2014-01-09 11:37:40	ga_ls7e_ard_3-0-0_113081_2014-01-09_final
2014-04-22 11:43:48	ga_ls7e_ard_3-0-0_114079_2014-04-22_final
2015-07-05 11:51:41	ga_ls7e_ard_3-0-0_115077_2015-07-05_final
2015-09-16 11:46:09	ga_ls7e_ard_3-0-0_114078_2015-09-16_final
2015-12-30 11:42:36	ga_ls7e_ard_3-0-0_113081_2015-12-30_final
2017-06-24 11:55:27	ga_ls7e_ard_3-0-0_115079_2017-06-24_final
2017-09-21 11:48:48	ga_ls7e_ard_3-0-0_114078_2017-09-21_final
2020-11-21 09:45:46	ga_ls7e_ard_3-1-0_101074_2020-11-21_final
2020-11-23 09:33:16	ga_ls7e_ard_3-1-0_099074_2020-11-23_final
2020-12-13 10:47:33	ga_ls7e_ard_3-1-0_111078_2020-12-13_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-20 10:53:35	ga_ls7e_ard_3-1-0_112079_2020-12-20_final
2020-12-24 08:51:41	ga_ls7e_ard_3-1-0_092084_2020-12-23_final
2021-01-16 08:53:53	ga_ls7e_ard_3-1-0_093078_2021-01-15_final
2021-01-25 08:47:03	ga_ls7e_ard_3-2-0_092078_2021-01-24_final
2021-01-31 09:47:37	ga_ls7e_ard_3-2-0_102076_2021-01-31_final
2021-02-04 09:22:12	ga_ls7e_ard_3-2-0_098075_2021-02-03_final
2021-02-07 09:53:16	ga_ls7e_ard_3-2-0_103076_2021-02-07_final
2021-02-08 08:59:59	ga_ls7e_ard_3-2-0_094082_2021-02-07_final
2021-03-02 09:58:54	ga_ls7e_ard_3-2-0_104079_2021-03-02_final
2021-03-05 08:50:18	ga_ls7e_ard_3-2-0_093078_2021-03-04_final
2021-03-05 10:29:58	ga_ls7e_ard_3-2-0_109080_2021-03-05_final
2021-03-06 09:31:29	ga_ls7e_ard_3-2-0_100073_2021-03-06_final
2021-03-17 10:52:57	ga_ls7e_ard_3-2-0_113078_2021-03-17_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-16 09:22:46	ga_ls7e_ard_3-2-0_099075_2021-04-15_final
2021-04-18 09:10:14	ga_ls7e_ard_3-2-0_097075_2021-04-17_final
2021-04-26 09:57:24	ga_ls7e_ard_3-2-0_105071_2021-04-26_final
2021-04-29 08:52:22	ga_ls7e_ard_3-2-0_094079_2021-04-28_final
2021-05-05 09:50:28	ga_ls7e_ard_3-2-0_104071_2021-05-05_final
2021-06-02 10:15:36	ga_ls7e_ard_3-2-0_108078_2021-06-02_final
2021-06-05 09:06:11	ga_ls7e_ard_3-2-0_097075_2021-06-04_final
2021-06-15 09:42:51	ga_ls7e_ard_3-2-0_103076_2021-06-15_final
2021-06-20 10:03:46	ga_ls7e_ard_3-2-0_106083_2021-06-20_final
2021-07-04 08:34:54	ga_ls7e_ard_3-2-0_092080_2021-07-03_final
2021-07-08 09:46:19	ga_ls7e_ard_3-2-0_104074_2021-07-08_final
2021-07-08 09:47:07	ga_ls7e_ard_3-2-0_104076_2021-07-08_final
2021-07-11 10:19:21	ga_ls7e_ard_3-2-0_109080_2021-07-11_final
2021-07-13 10:03:38	ga_ls7e_ard_3-2-0_107072_2021-07-13_final
2021-07-16 08:55:24	ga_ls7e_ard_3-2-0_096072_2021-07-15_final
2021-07-18 08:46:51	ga_ls7e_ard_3-2-0_094082_2021-07-17_final
2021-07-25 08:49:38	ga_ls7e_ard_3-2-0_095075_2021-07-24_final
2021-07-25 10:30:31	ga_ls7e_ard_3-2-0_111080_2021-07-25_final
2021-08-08 09:04:21	ga_ls7e_ard_3-2-0_097084_2021-08-07_final
2021-08-10 08:48:14	ga_ls7e_ard_3-2-0_095075_2021-08-09_final
2021-08-29 09:16:40	ga_ls7e_ard_3-2-0_100073_2021-08-28_final
2021-09-05 09:24:38	ga_ls7e_ard_3-2-0_101079_2021-09-04_final
2021-09-25 08:56:56	ga_ls7e_ard_3-2-0_097076_2021-09-24_final
2021-09-25 10:39:01	ga_ls7e_ard_3-2-0_113084_2021-09-25_final
2021-09-26 09:38:55	ga_ls7e_ard_3-2-0_104073_2021-09-26_final
2021-09-27 10:23:17	ga_ls7e_ard_3-2-0_111076_2021-09-27_final
2021-10-04 10:28:27	ga_ls7e_ard_3-2-0_112075_2021-10-04_final
2021-10-13 10:24:16	ga_ls7e_ard_3-2-0_111082_2021-10-13_final
2021-10-20 08:50:08	ga_ls7e_ard_3-2-0_096080_2021-10-19_final
2021-10-23 09:19:10	ga_ls7e_ard_3-2-0_101076_2021-10-22_final
2021-11-01 09:12:10	ga_ls7e_ard_3-2-0_100076_2021-10-31_final
2021-11-05 10:26:44	ga_ls7e_ard_3-2-0_112078_2021-11-05_final
2021-11-30 10:17:21	ga_ls7e_ard_3-2-1_111076_2021-11-30_final
2021-12-26 09:12:40	ga_ls7e_ard_3-2-1_101075_2021-12-25_final
2022-01-02 09:18:56	ga_ls7e_ard_3-2-1_102077_2022-01-01_final
2022-01-08 08:41:16	ga_ls7e_ard_3-2-1_096077_2022-01-07_final
2022-01-15 10:26:28	ga_ls7e_ard_3-2-1_113079_2022-01-15_final
2022-01-18 09:17:00	ga_ls7e_ard_3-2-1_102076_2022-01-17_final
2022-02-04 09:59:23	ga_ls7e_ard_3-2-1_109078_2022-02-04_final
2022-02-18 08:31:50	ga_ls7e_ard_3-2-1_095079_2022-02-17_final
2022-02-18 10:12:19	ga_ls7e_ard_3-2-1_111083_2022-02-18_final
2022-02-28 09:05:58	ga_ls7e_ard_3-2-1_101074_2022-02-27_final
2022-02-28 09:08:22	ga_ls7e_ard_3-2-1_101080_2022-02-27_final
2022-03-07 09:11:28	ga_ls7e_ard_3-2-1_102074_2022-03-06_final
2022-03-07 09:13:28	ga_ls7e_ard_3-2-1_102079_2022-03-06_final
2022-03-18 08:52:36	ga_ls7e_ard_3-2-1_099076_2022-03-17_final
2022-03-27 08:47:35	ga_ls7e_ard_3-2-1_098081_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_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