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
1999-07-31 09:32:55	ga_ls7e_ard_3-1-0_093087_1999-07-31_final
1999-12-06 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-12-06_final
2000-08-25 09:29:12	ga_ls7e_ard_3-1-0_094067_2000-08-24_final
2000-11-29 09:28:36	ga_ls7e_ard_3-1-0_094067_2000-11-28_final
2002-02-04 09:27:04	ga_ls7e_ard_3-1-0_094067_2002-02-03_final
2003-09-25 10:29:49	ga_ls7e_ard_3-1-0_104071_2003-09-25_final
2004-07-03 09:27:14	ga_ls7e_ard_3-1-0_094067_2004-07-02_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2005-05-12 09:29:39	ga_ls7e_ard_3-1-0_093087_2005-05-11_final
2005-06-20 09:27:39	ga_ls7e_ard_3-1-0_094067_2005-06-19_final
2005-11-20 09:29:33	ga_ls7e_ard_3-1-0_093087_2005-11-19_final
2005-11-27 09:30:11	ga_ls7e_ard_3-1-0_094073_2005-11-27_final
2005-12-06 09:28:02	ga_ls7e_ard_3-1-0_093083_2005-12-05_final
2006-01-07 09:30:14	ga_ls7e_ard_3-1-0_093088_2006-01-07_final
2006-01-23 09:29:58	ga_ls7e_ard_3-1-0_093087_2006-01-22_final
2006-03-25 10:31:19	ga_ls7e_ard_3-1-0_104070_2006-03-25_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2006-11-23 09:30:02	ga_ls7e_ard_3-1-0_093087_2006-11-23_final
2007-11-23 10:31:24	ga_ls7e_ard_3-1-0_104070_2007-11-23_final
2007-12-09 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-12-09_final
2008-07-14 09:30:02	ga_ls7e_ard_3-1-0_094073_2008-07-14_final
2008-08-31 09:30:04	ga_ls7e_ard_3-1-0_094074_2008-08-31_final
2008-11-03 09:27:13	ga_ls7e_ard_3-1-0_094067_2008-11-02_final
2009-01-12 10:30:55	ga_ls7e_ard_3-1-0_104070_2009-01-12_final
2009-05-23 09:30:28	ga_ls7e_ard_3-1-0_093087_2009-05-23_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2009-10-27 10:31:34	ga_ls7e_ard_3-1-0_104070_2009-10-27_final
2009-11-12 10:31:48	ga_ls7e_ard_3-1-0_104070_2009-11-12_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-12-04 09:32:58	ga_ls7e_ard_3-1-0_093087_2010-12-04_final
2012-04-04 09:32:19	ga_ls7e_ard_3-1-0_094067_2012-04-04_final
2012-07-25 09:33:07	ga_ls7e_ard_3-1-0_094067_2012-07-25_final
2012-11-30 09:34:13	ga_ls7e_ard_3-1-0_094067_2012-11-30_final
2013-07-21 09:35:23	ga_ls7e_ard_3-1-0_093087_2013-07-21_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-09-20 10:14:02	ga_ls7e_ard_3-1-0_099085_2014-09-20_final
2014-12-06 09:36:37	ga_ls7e_ard_3-1-0_094067_2014-12-06_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2019-03-01 10:13:06	ga_ls7e_ard_3-1-0_100078_2019-03-01_final
2019-03-01 10:15:06	ga_ls7e_ard_3-1-0_100083_2019-03-01_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-10 10:03:27	ga_ls7e_ard_3-1-0_099070_2019-03-10_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-22 10:28:34	ga_ls7e_ard_3-1-0_103072_2019-03-22_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-08-24 10:03:45	ga_ls7e_ard_3-1-0_100071_2019-08-24_final
2019-08-30 09:32:48	ga_ls7e_ard_3-1-0_094087_2019-08-30_final
2019-09-09 10:03:03	ga_ls7e_ard_3-1-0_100071_2019-09-09_final
2019-09-18 09:56:52	ga_ls7e_ard_3-1-0_099072_2019-09-18_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-09-30 10:24:16	ga_ls7e_ard_3-1-0_103080_2019-09-30_final
2019-10-01 09:29:01	ga_ls7e_ard_3-1-0_094081_2019-09-30_final
2019-10-04 09:54:12	ga_ls7e_ard_3-1-0_099067_2019-10-04_final
2019-10-07 10:30:34	ga_ls7e_ard_3-1-0_104081_2019-10-07_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-28 10:49:00	ga_ls7e_ard_3-1-0_107083_2019-10-28_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-12 10:02:17	ga_ls7e_ard_3-1-0_100076_2019-11-12_final
2019-11-13 10:43:06	ga_ls7e_ard_3-1-0_107070_2019-11-13_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-11-21 09:57:16	ga_ls7e_ard_3-1-0_099080_2019-11-21_final
2019-11-28 10:03:31	ga_ls7e_ard_3-1-0_100081_2019-11-28_final
2019-11-29 10:42:44	ga_ls7e_ard_3-1-0_107071_2019-11-29_final
2019-11-29 10:44:20	ga_ls7e_ard_3-1-0_107075_2019-11-29_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-07 09:58:05	ga_ls7e_ard_3-1-0_099084_2019-12-07_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-23 09:52:06	ga_ls7e_ard_3-1-0_099071_2019-12-23_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2019-12-31 10:40:43	ga_ls7e_ard_3-1-0_107070_2019-12-31_final
2019-12-31 10:43:07	ga_ls7e_ard_3-1-0_107076_2019-12-31_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-08 09:53:39	ga_ls7e_ard_3-1-0_099077_2020-01-08_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-09 09:53:39	ga_ls7e_ard_3-1-0_099081_2020-02-09_final
2020-02-16 10:00:40	ga_ls7e_ard_3-1-0_100084_2020-02-16_final
2020-02-17 10:38:17	ga_ls7e_ard_3-1-0_107070_2020-02-17_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-04 10:42:38	ga_ls7e_ard_3-1-0_107083_2020-03-04_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-03-28 09:50:16	ga_ls7e_ard_3-1-0_099079_2020-03-28_final
2020-04-20 09:56:19	ga_ls7e_ard_3-1-0_100082_2020-04-20_final
2020-04-21 10:37:32	ga_ls7e_ard_3-1-0_107077_2020-04-21_final
2020-04-29 09:43:37	ga_ls7e_ard_3-1-0_099067_2020-04-29_final
2020-04-29 09:44:25	ga_ls7e_ard_3-1-0_099069_2020-04-29_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-23 09:09:29	ga_ls7e_ard_3-2-1_102073_2022-03-22_final
2022-03-26 09:41:18	ga_ls7e_ard_3-2-1_107076_2022-03-26_final
2022-03-28 09:25:34	ga_ls7e_ard_3-2-1_105068_2022-03-27_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_final
2022-04-01 09:04:27	ga_ls7e_ard_3-2-1_101078_2022-03-31_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_final
2022-04-05 08:42:07	ga_ls7e_ard_3-2-1_097085_2022-04-04_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