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
2001-05-14 10:31:07	ga_ls7e_ard_3-1-0_104070_2001-05-14_final
2001-06-18 09:29:34	ga_ls7e_ard_3-1-0_093087_2001-06-17_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2001-09-19 10:29:40	ga_ls7e_ard_3-1-0_104070_2001-09-19_final
2001-11-06 10:29:37	ga_ls7e_ard_3-1-0_104070_2001-11-06_final
2004-05-15 10:25:50	ga_ls7e_ard_3-1-0_103074_2004-05-15_final
2004-09-21 09:30:02	ga_ls7e_ard_3-1-0_094075_2004-09-21_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-09-01 09:27:38	ga_ls7e_ard_3-1-0_093083_2005-08-31_final
2006-02-15 09:34:40	ga_ls7e_ard_3-1-0_094083_2006-02-15_final
2006-08-16 10:30:54	ga_ls7e_ard_3-1-0_104070_2006-08-16_final
2006-08-26 09:34:15	ga_ls7e_ard_3-1-0_094083_2006-08-26_final
2008-02-21 09:34:52	ga_ls7e_ard_3-1-0_094083_2008-02-21_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-03-26 09:32:00	ga_ls7e_ard_3-1-0_093083_2011-03-26_final
2011-05-26 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-26_final
2011-06-30 09:29:57	ga_ls7e_ard_3-1-0_093078_2011-06-29_final
2012-01-31 09:38:39	ga_ls7e_ard_3-1-0_094083_2012-01-31_final
2012-06-17 10:15:20	ga_ls7e_ard_3-1-0_100081_2012-06-17_final
2015-05-24 09:37:53	ga_ls7e_ard_3-1-0_093083_2015-05-24_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2015-07-18 09:44:21	ga_ls7e_ard_3-1-0_094083_2015-07-18_final
2015-09-14 10:20:49	ga_ls7e_ard_3-1-0_100081_2015-09-14_final
2015-12-09 09:45:41	ga_ls7e_ard_3-1-0_094083_2015-12-09_final
2016-02-11 09:46:29	ga_ls7e_ard_3-1-0_094083_2016-02-11_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2017-05-13 09:40:55	ga_ls7e_ard_3-1-0_093083_2017-05-13_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-06-11 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-06-11_final
2018-02-06 10:42:50	ga_ls7e_ard_3-1-0_104070_2018-02-06_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-02 10:55:08	ga_ls7e_ard_3-1-0_107075_2019-03-02_final
2019-03-07 09:35:02	ga_ls7e_ard_3-1-0_094076_2019-03-07_final
2019-03-10 10:07:50	ga_ls7e_ard_3-1-0_099081_2019-03-10_final
2019-03-13 10:34:39	ga_ls7e_ard_3-1-0_104071_2019-03-13_final
2019-03-23 09:36:06	ga_ls7e_ard_3-1-0_094080_2019-03-23_final
2019-03-27 09:12:03	ga_ls7e_ard_3-1-0_090082_2019-03-26_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-07-19 10:29:33	ga_ls7e_ard_3-1-0_104070_2019-07-19_final
2019-09-05 10:28:21	ga_ls7e_ard_3-1-0_104072_2019-09-05_final
2019-09-09 10:06:15	ga_ls7e_ard_3-1-0_100079_2019-09-09_final
2019-09-09 10:06:39	ga_ls7e_ard_3-1-0_100080_2019-09-09_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-10 10:49:28	ga_ls7e_ard_3-1-0_107079_2019-09-10_final
2019-09-21 10:27:38	ga_ls7e_ard_3-1-0_104072_2019-09-21_final
2019-09-29 11:20:20	ga_ls7e_ard_3-1-0_112081_2019-09-29_final
2019-10-07 10:25:47	ga_ls7e_ard_3-1-0_104069_2019-10-07_final
2019-10-07 10:26:34	ga_ls7e_ard_3-1-0_104071_2019-10-07_final
2019-10-07 10:28:58	ga_ls7e_ard_3-1-0_104077_2019-10-07_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-10-21 09:03:27	ga_ls7e_ard_3-1-0_090081_2019-10-20_final
2019-10-23 10:27:53	ga_ls7e_ard_3-1-0_104076_2019-10-23_final
2019-10-23 10:28:41	ga_ls7e_ard_3-1-0_104078_2019-10-23_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-11-08 10:25:35	ga_ls7e_ard_3-1-0_104072_2019-11-08_final
2019-11-08 10:27:35	ga_ls7e_ard_3-1-0_104077_2019-11-08_final
2019-11-16 11:17:03	ga_ls7e_ard_3-1-0_112078_2019-11-16_final
2019-12-02 11:15:53	ga_ls7e_ard_3-1-0_112077_2019-12-02_final
2019-12-03 10:19:49	ga_ls7e_ard_3-1-0_103076_2019-12-03_final
2019-12-04 09:23:45	ga_ls7e_ard_3-1-0_094075_2019-12-03_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-08 09:01:13	ga_ls7e_ard_3-1-0_090081_2019-12-07_final
2019-12-10 10:23:39	ga_ls7e_ard_3-1-0_104071_2019-12-10_final
2019-12-10 10:27:39	ga_ls7e_ard_3-1-0_104081_2019-12-10_final
2019-12-23 09:53:41	ga_ls7e_ard_3-1-0_099075_2019-12-23_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2019-12-30 10:01:54	ga_ls7e_ard_3-1-0_100081_2019-12-30_final
2020-01-15 10:01:05	ga_ls7e_ard_3-1-0_100081_2020-01-15_final
2020-01-16 10:43:06	ga_ls7e_ard_3-1-0_107078_2020-01-16_final
2020-01-27 10:21:13	ga_ls7e_ard_3-1-0_104071_2020-01-27_final
2020-02-01 10:41:54	ga_ls7e_ard_3-1-0_107077_2020-02-01_final
2020-02-10 08:57:59	ga_ls7e_ard_3-1-0_090081_2020-02-09_final
2020-02-12 10:22:48	ga_ls7e_ard_3-1-0_104077_2020-02-12_final
2020-02-15 09:15:28	ga_ls7e_ard_3-1-0_093079_2020-02-14_final
2020-02-22 09:20:53	ga_ls7e_ard_3-1-0_094078_2020-02-21_final
2020-02-28 10:22:46	ga_ls7e_ard_3-1-0_104079_2020-02-28_final
2020-03-08 10:14:54	ga_ls7e_ard_3-1-0_103076_2020-03-08_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-15 10:21:06	ga_ls7e_ard_3-1-0_104077_2020-03-15_final
2020-04-04 09:56:51	ga_ls7e_ard_3-1-0_100081_2020-04-04_final
2020-04-13 09:48:09	ga_ls7e_ard_3-1-0_099076_2020-04-13_final
2020-04-21 10:38:20	ga_ls7e_ard_3-1-0_107079_2020-04-21_final
2020-04-25 10:09:23	ga_ls7e_ard_3-1-0_103069_2020-04-25_final
2020-04-25 10:09:47	ga_ls7e_ard_3-1-0_103070_2020-04-25_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-21 09:24:02	ga_ls7e_ard_3-2-1_104078_2022-03-20_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-29 08:31:27	ga_ls7e_ard_3-2-1_096072_2022-03-28_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-31 08:21:41	ga_ls7e_ard_3-2-1_094079_2022-03-30_final
2022-04-01 09:02:51	ga_ls7e_ard_3-2-1_101074_2022-03-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years