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
2000-07-11 11:42:42	ga_ls7e_ard_3-0-0_115075_2000-07-11_final
2001-09-16 11:40:30	ga_ls7e_ard_3-0-0_115077_2001-09-16_final
2002-05-07 11:35:04	ga_ls7e_ard_3-0-0_114078_2002-05-07_final
2004-08-23 11:41:35	ga_ls7e_ard_3-0-0_115079_2004-08-23_final
2004-12-29 11:41:20	ga_ls7e_ard_3-1-0_115077_2004-12-29_final
2005-02-08 11:36:10	ga_ls7e_ard_3-0-0_114079_2005-02-08_final
2005-10-22 11:35:26	ga_ls7e_ard_3-0-0_114078_2005-10-22_final
2005-11-23 11:35:22	ga_ls7e_ard_3-0-0_114077_2005-11-23_final
2006-05-09 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-09_final
2006-07-12 11:42:37	ga_ls7e_ard_3-0-0_115079_2006-07-12_final
2006-11-10 11:35:18	ga_ls7e_ard_3-0-0_114076_2006-11-10_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-06-22 11:35:41	ga_ls7e_ard_3-0-0_114076_2007-06-22_final
2007-09-10 11:35:40	ga_ls7e_ard_3-0-0_114077_2007-09-10_final
2008-03-20 11:36:22	ga_ls7e_ard_3-0-0_114078_2008-03-20_final
2009-04-24 11:32:13	ga_ls7e_ard_3-0-0_114067_2009-04-24_final
2010-10-04 11:39:16	ga_ls7e_ard_3-0-0_114080_2010-10-04_final
2010-11-05 11:39:12	ga_ls7e_ard_3-0-0_114079_2010-11-05_final
2010-11-21 11:37:49	ga_ls7e_ard_3-0-0_114075_2010-11-21_final
2010-12-23 11:38:06	ga_ls7e_ard_3-0-0_114075_2010-12-23_final
2011-01-17 11:35:45	ga_ls7e_ard_3-0-0_113084_2011-01-17_final
2011-04-14 11:38:38	ga_ls7e_ard_3-0-0_114075_2011-04-14_final
2011-08-27 11:44:35	ga_ls7e_ard_3-0-0_115075_2011-08-27_final
2012-04-16 11:40:41	ga_ls7e_ard_3-0-0_114079_2012-04-16_final
2012-10-09 11:40:40	ga_ls7e_ard_3-0-0_114075_2012-10-09_final
2013-05-05 11:40:31	ga_ls7e_ard_3-0-0_114074_2013-05-05_final
2014-05-24 11:41:59	ga_ls7e_ard_3-0-0_114074_2014-05-24_final
2015-08-31 11:44:52	ga_ls7e_ard_3-0-0_114075_2015-08-31_final
2015-09-25 11:42:24	ga_ls7e_ard_3-0-0_113084_2015-09-25_final
2016-07-23 11:55:24	ga_ls7e_ard_3-0-0_115079_2016-07-23_final
2016-09-25 11:54:21	ga_ls7e_ard_3-0-0_115076_2016-09-25_final
2016-10-20 11:48:09	ga_ls7e_ard_3-0-0_114076_2016-10-20_final
2017-05-07 11:54:04	ga_ls7e_ard_3-0-0_115076_2017-05-07_final
2017-07-03 11:47:17	ga_ls7e_ard_3-0-0_114074_2017-07-03_final
2017-09-21 11:47:36	ga_ls7e_ard_3-0-0_114075_2017-09-21_final
2018-02-28 11:46:25	ga_ls7e_ard_3-0-0_114075_2018-02-28_final
2018-07-15 11:41:10	ga_ls7e_ard_3-0-0_113083_2018-07-15_final
2019-05-06 11:36:31	ga_ls7e_ard_3-0-0_114076_2019-05-06_final
2019-06-30 11:40:40	ga_ls7e_ard_3-0-0_115076_2019-06-30_final
2020-11-25 09:21:09	ga_ls7e_ard_3-1-0_097075_2020-11-24_final
2020-11-29 10:37:25	ga_ls7e_ard_3-1-0_109081_2020-11-29_final
2020-11-30 09:40:56	ga_ls7e_ard_3-1-0_100079_2020-11-30_final
2020-12-11 09:22:46	ga_ls7e_ard_3-1-0_097082_2020-12-10_final
2020-12-27 09:19:59	ga_ls7e_ard_3-1-0_097078_2020-12-26_final
2020-12-29 09:08:41	ga_ls7e_ard_3-1-0_095081_2020-12-28_final
2020-12-29 10:48:46	ga_ls7e_ard_3-1-0_111084_2020-12-29_final
2021-01-06 09:54:47	ga_ls7e_ard_3-1-0_103074_2021-01-06_final
2021-01-29 10:01:43	ga_ls7e_ard_3-2-0_104080_2021-01-29_final
2021-01-31 09:46:49	ga_ls7e_ard_3-2-0_102074_2021-01-31_final
2021-02-15 09:06:50	ga_ls7e_ard_3-2-0_095085_2021-02-14_final
2021-02-25 09:38:22	ga_ls7e_ard_3-2-0_101073_2021-02-25_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-11 09:52:25	ga_ls7e_ard_3-2-0_103080_2021-03-11_final
2021-03-28 08:57:02	ga_ls7e_ard_3-2-0_094084_2021-03-27_final
2021-03-28 10:33:07	ga_ls7e_ard_3-2-0_110077_2021-03-28_final
2021-04-10 09:59:09	ga_ls7e_ard_3-2-0_105072_2021-04-10_final
2021-04-20 09:00:06	ga_ls7e_ard_3-2-0_095081_2021-04-19_final
2021-04-27 09:03:41	ga_ls7e_ard_3-2-0_096076_2021-04-26_final
2021-05-01 08:41:02	ga_ls7e_ard_3-2-0_092082_2021-04-30_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-11 09:13:17	ga_ls7e_ard_3-2-0_098072_2021-05-10_final
2021-05-20 09:05:57	ga_ls7e_ard_3-2-0_097071_2021-05-19_final
2021-05-24 08:44:53	ga_ls7e_ard_3-2-0_093081_2021-05-23_final
2021-05-27 09:14:43	ga_ls7e_ard_3-2-0_098079_2021-05-26_final
2021-06-04 10:00:41	ga_ls7e_ard_3-2-0_106072_2021-06-04_final
2021-06-06 09:47:46	ga_ls7e_ard_3-2-0_104071_2021-06-06_final
2021-06-06 09:51:21	ga_ls7e_ard_3-2-0_104080_2021-06-06_final
2021-06-10 09:25:55	ga_ls7e_ard_3-2-0_100079_2021-06-09_final
2021-06-17 09:28:44	ga_ls7e_ard_3-2-0_101072_2021-06-16_final
2021-06-18 10:15:30	ga_ls7e_ard_3-2-0_108081_2021-06-18_final
2021-07-09 10:31:53	ga_ls7e_ard_3-2-0_111080_2021-07-09_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-08-01 08:59:12	ga_ls7e_ard_3-2-0_096085_2021-07-31_final
2021-08-19 08:43:38	ga_ls7e_ard_3-2-0_094081_2021-08-18_final
2021-08-19 10:22:07	ga_ls7e_ard_3-2-0_110080_2021-08-19_final
2021-08-20 09:23:37	ga_ls7e_ard_3-2-0_101073_2021-08-19_final
2021-08-29 09:17:52	ga_ls7e_ard_3-2-0_100076_2021-08-28_final
2021-09-09 10:37:15	ga_ls7e_ard_3-2-0_113076_2021-09-09_final
2021-09-14 09:18:28	ga_ls7e_ard_3-2-0_100081_2021-09-13_final
2021-09-18 08:52:11	ga_ls7e_ard_3-2-0_096078_2021-09-17_final
2021-09-25 08:55:21	ga_ls7e_ard_3-2-0_097072_2021-09-24_final
2021-10-13 08:44:59	ga_ls7e_ard_3-2-0_095081_2021-10-12_final
2021-10-21 09:31:43	ga_ls7e_ard_3-2-0_103076_2021-10-21_final
2021-10-24 08:25:03	ga_ls7e_ard_3-2-0_092080_2021-10-23_final
2021-10-27 08:52:53	ga_ls7e_ard_3-2-0_097073_2021-10-26_final
2021-11-05 08:47:52	ga_ls7e_ard_3-2-0_096078_2021-11-04_final
2021-11-15 09:22:46	ga_ls7e_ard_3-2-1_102075_2021-11-14_final
2021-11-21 08:43:55	ga_ls7e_ard_3-2-1_096072_2021-11-20_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-11-30 10:19:21	ga_ls7e_ard_3-2-1_111081_2021-11-30_final
2021-12-02 10:06:48	ga_ls7e_ard_3-2-1_109081_2021-12-02_final
2021-12-16 08:38:33	ga_ls7e_ard_3-2-1_095080_2021-12-15_final
2021-12-23 08:41:40	ga_ls7e_ard_3-2-1_096074_2021-12-22_final
2022-01-01 10:16:15	ga_ls7e_ard_3-2-1_111081_2022-01-01_final
2022-01-03 10:03:41	ga_ls7e_ard_3-2-1_109081_2022-01-03_final
2022-01-31 10:24:31	ga_ls7e_ard_3-2-1_113078_2022-01-31_final
2022-02-22 09:44:49	ga_ls7e_ard_3-2-1_107077_2022-02-22_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_final
2022-02-28 09:05:10	ga_ls7e_ard_3-2-1_101072_2022-02-27_final
2022-03-08 08:19:20	ga_ls7e_ard_3-2-1_093083_2022-03-07_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