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
2004-06-20 11:41:49	ga_ls7e_ard_3-1-0_115079_2004-06-20_final
2004-11-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2004-11-27_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2006-06-26 11:41:08	ga_ls7e_ard_3-0-0_115075_2006-06-26_final
2006-07-28 11:40:54	ga_ls7e_ard_3-0-0_115075_2006-07-28_final
2007-03-09 11:41:19	ga_ls7e_ard_3-0-0_115074_2007-03-09_final
2007-03-25 11:41:20	ga_ls7e_ard_3-0-0_115074_2007-03-25_final
2007-04-10 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-04-10_final
2007-07-15 11:41:00	ga_ls7e_ard_3-0-0_115074_2007-07-15_final
2009-02-26 11:42:49	ga_ls7e_ard_3-0-0_115079_2009-02-26_final
2011-03-04 11:46:20	ga_ls7e_ard_3-0-0_115079_2011-03-04_final
2012-10-16 11:48:32	ga_ls7e_ard_3-0-0_115079_2012-10-16_final
2012-11-17 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-11-17_final
2013-06-13 11:46:29	ga_ls7e_ard_3-0-0_115074_2013-06-13_final
2013-10-03 11:48:38	ga_ls7e_ard_3-0-0_115079_2013-10-03_final
2014-09-04 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-09-04_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2016-10-11 11:55:33	ga_ls7e_ard_3-0-0_115079_2016-10-11_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-06-27 11:50:17	ga_ls7e_ard_3-0-0_115074_2018-06-27_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2020-11-29 10:34:14	ga_ls7e_ard_3-1-0_109073_2020-11-29_final
2020-12-11 09:19:11	ga_ls7e_ard_3-1-0_097073_2020-12-10_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2020-12-15 09:00:09	ga_ls7e_ard_3-1-0_093088_2020-12-14_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-21 09:57:53	ga_ls7e_ard_3-1-0_103079_2020-12-21_final
2020-12-29 10:47:10	ga_ls7e_ard_3-1-0_111080_2020-12-29_final
2021-01-04 10:08:29	ga_ls7e_ard_3-1-0_105077_2021-01-04_final
2021-01-14 09:04:23	ga_ls7e_ard_3-1-0_095073_2021-01-13_final
2021-01-27 10:11:26	ga_ls7e_ard_3-2-0_106073_2021-01-27_final
2021-01-27 10:11:50	ga_ls7e_ard_3-2-0_106074_2021-01-27_final
2021-01-29 10:00:07	ga_ls7e_ard_3-2-0_104076_2021-01-29_final
2021-02-13 10:54:38	ga_ls7e_ard_3-2-0_113076_2021-02-13_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-03-15 09:24:59	ga_ls7e_ard_3-2-0_099074_2021-03-14_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-03-20 09:45:31	ga_ls7e_ard_3-2-0_102080_2021-03-20_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-15 10:18:52	ga_ls7e_ard_3-2-0_108076_2021-04-15_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-20 10:47:37	ga_ls7e_ard_3-2-0_113078_2021-05-20_final
2021-05-22 08:55:01	ga_ls7e_ard_3-2-0_095075_2021-05-21_final
2021-05-24 08:47:16	ga_ls7e_ard_3-2-0_093087_2021-05-23_final
2021-06-01 09:32:25	ga_ls7e_ard_3-2-0_101078_2021-06-01_final
2021-06-05 10:47:27	ga_ls7e_ard_3-2-0_113081_2021-06-05_final
2021-06-11 10:08:42	ga_ls7e_ard_3-2-0_107078_2021-06-11_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-29 09:53:39	ga_ls7e_ard_3-2-0_105075_2021-06-29_final
2021-07-02 08:49:01	ga_ls7e_ard_3-2-0_094084_2021-07-01_final
2021-07-02 10:23:30	ga_ls7e_ard_3-2-0_110073_2021-07-02_final
2021-07-09 08:55:00	ga_ls7e_ard_3-2-0_095085_2021-07-08_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-03 10:20:45	ga_ls7e_ard_3-2-0_110073_2021-08-03_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-07 09:58:52	ga_ls7e_ard_3-2-0_106081_2021-08-07_final
2021-09-15 10:02:50	ga_ls7e_ard_3-2-0_107084_2021-09-15_final
2021-09-20 08:43:14	ga_ls7e_ard_3-2-0_094087_2021-09-19_final
2021-10-07 09:19:48	ga_ls7e_ard_3-2-0_101074_2021-10-06_final
2021-10-24 10:00:21	ga_ls7e_ard_3-2-0_108071_2021-10-24_final
2021-10-26 09:51:47	ga_ls7e_ard_3-2-0_106081_2021-10-26_final
2021-10-29 08:40:44	ga_ls7e_ard_3-2-0_095074_2021-10-28_final
2021-10-29 10:17:14	ga_ls7e_ard_3-2-0_111068_2021-10-29_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-03 08:56:49	ga_ls7e_ard_3-2-0_098069_2021-11-02_final
2021-11-03 08:58:25	ga_ls7e_ard_3-2-0_098073_2021-11-02_final
2021-11-03 10:40:05	ga_ls7e_ard_3-2-0_114080_2021-11-03_final
2021-11-04 09:43:34	ga_ls7e_ard_3-2-0_105078_2021-11-04_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-12-04 09:54:39	ga_ls7e_ard_3-2-1_107082_2021-12-04_final
2021-12-05 08:56:57	ga_ls7e_ard_3-2-1_098077_2021-12-04_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-06 08:53:49	ga_ls7e_ard_3-2-1_098077_2022-01-05_final
2022-01-10 08:27:31	ga_ls7e_ard_3-2-1_094074_2022-01-09_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-15 08:45:36	ga_ls7e_ard_3-2-1_097074_2022-01-14_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-01-22 08:51:06	ga_ls7e_ard_3-2-1_098074_2022-01-21_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-02-02 08:35:52	ga_ls7e_ard_3-2-1_095085_2022-02-01_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-11 08:27:34	ga_ls7e_ard_3-2-1_094082_2022-02-10_final
2022-02-25 10:17:50	ga_ls7e_ard_3-2-1_112083_2022-02-25_final
2022-03-02 08:52:13	ga_ls7e_ard_3-2-1_099071_2022-03-01_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-04-03 08:51:53	ga_ls7e_ard_3-2-1_099078_2022-04-02_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