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
2000-10-31 11:42:22	ga_ls7e_ard_3-0-0_115077_2000-10-31_final
2001-05-20 11:36:28	ga_ls7e_ard_3-0-0_114079_2001-05-20_final
2002-07-01 11:39:15	ga_ls7e_ard_3-0-0_115074_2002-07-01_final
2004-10-10 11:40:07	ga_ls7e_ard_3-0-0_115076_2004-10-10_final
2005-02-24 11:35:53	ga_ls7e_ard_3-0-0_114078_2005-02-24_final
2006-03-15 11:36:19	ga_ls7e_ard_3-0-0_114078_2006-03-15_final
2006-06-03 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-06-03_final
2007-05-05 11:36:39	ga_ls7e_ard_3-0-0_114078_2007-05-05_final
2007-10-12 11:35:10	ga_ls7e_ard_3-0-0_114076_2007-10-12_final
2007-12-06 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-12-06_final
2009-03-14 11:42:09	ga_ls7e_ard_3-0-0_115077_2009-03-14_final
2009-11-25 11:42:44	ga_ls7e_ard_3-1-0_115077_2009-11-25_final
2010-08-01 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-08-01_final
2010-09-18 11:38:31	ga_ls7e_ard_3-0-0_114078_2010-09-18_final
2012-07-05 11:40:03	ga_ls7e_ard_3-0-0_114076_2012-07-05_final
2012-09-07 11:40:48	ga_ls7e_ard_3-0-0_114076_2012-09-07_final
2013-10-12 11:42:36	ga_ls7e_ard_3-0-0_114079_2013-10-12_final
2016-04-18 11:53:30	ga_ls7e_ard_3-0-0_115075_2016-04-18_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2020-11-27 09:08:15	ga_ls7e_ard_3-1-0_095074_2020-11-26_final
2020-11-29 08:58:09	ga_ls7e_ard_3-1-0_093080_2020-11-28_final
2020-11-30 09:40:56	ga_ls7e_ard_3-1-0_100079_2020-11-30_final
2020-12-09 09:32:05	ga_ls7e_ard_3-1-0_099074_2020-12-09_final
2020-12-13 10:47:09	ga_ls7e_ard_3-1-0_111077_2020-12-13_final
2020-12-15 08:58:33	ga_ls7e_ard_3-1-0_093084_2020-12-14_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-25 09:34:05	ga_ls7e_ard_3-1-0_099082_2020-12-25_final
2020-12-30 09:49:05	ga_ls7e_ard_3-1-0_102074_2020-12-30_final
2020-12-31 08:57:00	ga_ls7e_ard_3-1-0_093083_2020-12-30_final
2021-01-05 10:54:04	ga_ls7e_ard_3-1-0_112083_2021-01-05_final
2021-01-06 09:54:47	ga_ls7e_ard_3-1-0_103074_2021-01-06_final
2021-01-16 08:55:28	ga_ls7e_ard_3-1-0_093082_2021-01-15_final
2021-02-08 08:59:35	ga_ls7e_ard_3-2-0_094081_2021-02-07_final
2021-03-08 10:59:02	ga_ls7e_ard_3-2-0_114076_2021-03-08_final
2021-03-12 10:36:00	ga_ls7e_ard_3-2-0_110081_2021-03-12_final
2021-03-17 09:16:52	ga_ls7e_ard_3-2-0_097085_2021-03-16_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-03-28 08:57:26	ga_ls7e_ard_3-2-0_094085_2021-03-27_final
2021-04-18 10:49:07	ga_ls7e_ard_3-2-0_113075_2021-04-18_final
2021-05-01 10:18:19	ga_ls7e_ard_3-2-0_108078_2021-05-01_final
2021-05-02 09:24:12	ga_ls7e_ard_3-2-0_099082_2021-05-01_final
2021-05-09 09:26:37	ga_ls7e_ard_3-2-0_100074_2021-05-08_final
2021-05-13 09:01:57	ga_ls7e_ard_3-2-0_096075_2021-05-12_final
2021-05-14 09:44:44	ga_ls7e_ard_3-2-0_103074_2021-05-14_final
2021-05-22 08:58:12	ga_ls7e_ard_3-2-0_095083_2021-05-21_final
2021-05-25 09:28:27	ga_ls7e_ard_3-2-0_100082_2021-05-24_final
2021-05-26 10:08:02	ga_ls7e_ard_3-2-0_107073_2021-05-26_final
2021-05-29 09:04:35	ga_ls7e_ard_3-2-0_096085_2021-05-28_final
2021-06-10 09:26:43	ga_ls7e_ard_3-2-0_100081_2021-06-09_final
2021-06-13 09:52:59	ga_ls7e_ard_3-2-0_105070_2021-06-13_final
2021-06-21 09:04:29	ga_ls7e_ard_3-2-0_097074_2021-06-20_final
2021-06-25 10:21:30	ga_ls7e_ard_3-2-0_109082_2021-06-25_final
2021-06-27 10:04:59	ga_ls7e_ard_3-2-0_107072_2021-06-27_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-07-29 10:04:39	ga_ls7e_ard_3-2-0_107078_2021-07-29_final
2021-07-31 09:53:42	ga_ls7e_ard_3-2-0_105082_2021-07-31_final
2021-08-15 10:45:36	ga_ls7e_ard_3-2-0_114076_2021-08-15_final
2021-08-18 09:34:33	ga_ls7e_ard_3-2-0_103069_2021-08-18_final
2021-08-22 10:50:22	ga_ls7e_ard_3-2-0_115074_2021-08-22_final
2021-09-09 08:59:58	ga_ls7e_ard_3-2-0_097080_2021-09-08_final
2021-09-13 08:32:54	ga_ls7e_ard_3-2-0_093075_2021-09-12_final
2021-09-14 09:18:52	ga_ls7e_ard_3-2-0_100082_2021-09-13_final
2021-09-16 09:05:31	ga_ls7e_ard_3-2-0_098080_2021-09-15_final
2021-10-08 10:02:58	ga_ls7e_ard_3-2-0_108074_2021-10-08_final
2021-10-15 10:07:20	ga_ls7e_ard_3-2-0_109071_2021-10-15_final
2021-10-19 09:45:27	ga_ls7e_ard_3-2-0_105079_2021-10-19_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-24 09:59:33	ga_ls7e_ard_3-2-0_108069_2021-10-24_final
2021-10-24 10:02:20	ga_ls7e_ard_3-2-0_108076_2021-10-24_final
2021-10-27 08:56:29	ga_ls7e_ard_3-2-0_097082_2021-10-26_final
2021-10-30 09:23:07	ga_ls7e_ard_3-2-0_102072_2021-10-29_final
2021-11-03 10:37:42	ga_ls7e_ard_3-2-0_114074_2021-11-03_final
2021-11-07 08:34:31	ga_ls7e_ard_3-2-0_094076_2021-11-06_final
2021-11-14 08:41:13	ga_ls7e_ard_3-2-1_095079_2021-11-13_final
2021-11-29 09:32:36	ga_ls7e_ard_3-2-1_104072_2021-11-29_final
2021-12-02 08:29:31	ga_ls7e_ard_3-2-1_093085_2021-12-01_final
2021-12-05 10:36:37	ga_ls7e_ard_3-2-1_114079_2021-12-05_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2022-01-03 08:22:48	ga_ls7e_ard_3-2-1_093076_2022-01-02_final
2022-01-04 09:05:10	ga_ls7e_ard_3-2-1_100074_2022-01-03_final
2022-01-19 10:02:34	ga_ls7e_ard_3-2-1_109082_2022-01-19_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-01-23 09:36:15	ga_ls7e_ard_3-2-1_105079_2022-01-23_final
2022-01-26 08:26:23	ga_ls7e_ard_3-2-1_094075_2022-01-25_final
2022-02-16 08:41:59	ga_ls7e_ard_3-2-1_097073_2022-02-15_final
2022-02-16 10:23:16	ga_ls7e_ard_3-2-1_113079_2022-02-16_final
2022-02-16 10:24:27	ga_ls7e_ard_3-2-1_113082_2022-02-16_final
2022-02-18 08:33:02	ga_ls7e_ard_3-2-1_095082_2022-02-17_final
2022-03-06 10:07:35	ga_ls7e_ard_3-2-1_111075_2022-03-06_final
2022-03-06 10:11:10	ga_ls7e_ard_3-2-1_111084_2022-03-06_final
2022-03-08 08:16:33	ga_ls7e_ard_3-2-1_093076_2022-03-07_final
2022-03-14 09:17:44	ga_ls7e_ard_3-2-1_103076_2022-03-13_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-26 08:06:01	ga_ls7e_ard_3-2-1_091085_2022-03-25_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_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