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
1999-12-06 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-12-06_final
2000-01-14 09:37:26	ga_ls7e_ard_3-1-0_094083_2000-01-14_final
2000-03-02 09:37:15	ga_ls7e_ard_3-1-0_094083_2000-03-02_final
2000-09-10 09:35:19	ga_ls7e_ard_3-1-0_094083_2000-09-10_final
2001-01-06 10:31:39	ga_ls7e_ard_3-1-0_104070_2001-01-06_final
2001-04-12 10:31:20	ga_ls7e_ard_3-1-0_104070_2001-04-12_final
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2002-03-02 10:09:51	ga_ls7e_ard_3-1-0_100081_2002-03-02_final
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2005-02-02 10:30:42	ga_ls7e_ard_3-1-0_104070_2005-02-02_final
2005-02-12 09:34:11	ga_ls7e_ard_3-1-0_094083_2005-02-12_final
2005-11-27 09:30:11	ga_ls7e_ard_3-1-0_094073_2005-11-27_final
2005-12-19 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-12-19_final
2006-09-27 09:35:16	ga_ls7e_ard_3-1-0_094086_2006-09-27_final
2007-01-11 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-01-11_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2007-12-25 10:31:34	ga_ls7e_ard_3-1-0_104070_2007-12-25_final
2008-06-18 10:30:56	ga_ls7e_ard_3-1-0_104070_2008-06-18_final
2010-03-14 09:36:44	ga_ls7e_ard_3-1-0_094083_2010-03-14_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-09-15 09:29:55	ga_ls7e_ard_3-1-0_093081_2010-09-14_final
2010-12-01 10:34:08	ga_ls7e_ard_3-1-0_104070_2010-12-01_final
2011-04-02 09:38:14	ga_ls7e_ard_3-1-0_094083_2011-04-02_final
2012-01-31 09:38:39	ga_ls7e_ard_3-1-0_094083_2012-01-31_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-11-14 09:40:33	ga_ls7e_ard_3-1-0_094083_2012-11-14_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-11-07 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-11-07_final
2015-08-28 09:38:17	ga_ls7e_ard_3-1-0_093083_2015-08-28_final
2016-01-26 09:46:22	ga_ls7e_ard_3-1-0_094083_2016-01-26_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2018-12-23 10:36:44	ga_ls7e_ard_3-1-0_104070_2018-12-23_final
2019-02-19 09:39:31	ga_ls7e_ard_3-1-0_094086_2019-02-19_final
2019-02-25 10:35:09	ga_ls7e_ard_3-1-0_104071_2019-02-25_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-03-06 10:32:41	ga_ls7e_ard_3-1-0_103081_2019-03-06_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-03-17 10:10:35	ga_ls7e_ard_3-1-0_100073_2019-03-17_final
2019-03-22 10:28:34	ga_ls7e_ard_3-1-0_103072_2019-03-22_final
2019-08-24 10:04:33	ga_ls7e_ard_3-1-0_100073_2019-08-24_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-09-02 09:57:35	ga_ls7e_ard_3-1-0_099072_2019-09-02_final
2019-09-18 09:56:52	ga_ls7e_ard_3-1-0_099072_2019-09-18_final
2019-09-24 09:22:19	ga_ls7e_ard_3-1-0_093079_2019-09-23_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-10-01 09:27:25	ga_ls7e_ard_3-1-0_094077_2019-09-30_final
2019-10-01 09:28:37	ga_ls7e_ard_3-1-0_094080_2019-09-30_final
2019-10-16 10:21:37	ga_ls7e_ard_3-1-0_103075_2019-10-16_final
2019-10-17 09:25:57	ga_ls7e_ard_3-1-0_094075_2019-10-16_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-11-01 10:18:55	ga_ls7e_ard_3-1-0_103070_2019-11-01_final
2019-11-02 09:24:51	ga_ls7e_ard_3-1-0_094074_2019-11-01_final
2019-11-11 09:20:16	ga_ls7e_ard_3-1-0_093079_2019-11-10_final
2019-11-13 10:44:18	ga_ls7e_ard_3-1-0_107073_2019-11-13_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-04 09:23:21	ga_ls7e_ard_3-1-0_094074_2019-12-03_final
2019-12-13 09:17:55	ga_ls7e_ard_3-1-0_093077_2019-12-12_final
2019-12-14 10:03:07	ga_ls7e_ard_3-1-0_100082_2019-12-14_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-20 09:22:33	ga_ls7e_ard_3-1-0_094074_2019-12-19_final
2019-12-20 09:24:32	ga_ls7e_ard_3-1-0_094079_2019-12-19_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-15 09:57:30	ga_ls7e_ard_3-1-0_100072_2020-01-15_final
2020-01-30 09:17:29	ga_ls7e_ard_3-1-0_093082_2020-01-29_final
2020-02-01 10:42:42	ga_ls7e_ard_3-1-0_107079_2020-02-01_final
2020-02-06 09:19:43	ga_ls7e_ard_3-1-0_094073_2020-02-05_final
2020-02-15 09:13:52	ga_ls7e_ard_3-1-0_093075_2020-02-14_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-08 10:16:30	ga_ls7e_ard_3-1-0_103080_2020-03-08_final
2020-03-18 09:15:21	ga_ls7e_ard_3-1-0_093083_2020-03-17_final
2020-03-24 10:10:49	ga_ls7e_ard_3-1-0_103068_2020-03-24_final
2020-03-25 09:18:20	ga_ls7e_ard_3-1-0_094076_2020-03-24_final
2020-03-25 09:21:08	ga_ls7e_ard_3-1-0_094083_2020-03-24_final
2020-03-28 09:48:40	ga_ls7e_ard_3-1-0_099075_2020-03-28_final
2020-04-03 09:11:39	ga_ls7e_ard_3-1-0_093076_2020-04-02_final
2020-04-03 09:12:27	ga_ls7e_ard_3-1-0_093078_2020-04-02_final
2020-04-10 09:17:26	ga_ls7e_ard_3-1-0_094076_2020-04-09_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-04-19 09:13:07	ga_ls7e_ard_3-1-0_093082_2020-04-18_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-24 11:07:51	ga_ls7e_ard_3-1-0_112076_2020-04-24_final
2020-04-26 09:15:18	ga_ls7e_ard_3-1-0_094073_2020-04-25_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-31 08:22:53	ga_ls7e_ard_3-2-1_094082_2022-03-30_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_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