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
1999-07-22 09:37:24	ga_ls7e_ard_3-1-0_094083_1999-07-22_final
1999-10-20 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-10-20_final
2000-12-15 09:35:01	ga_ls7e_ard_3-1-0_094083_2000-12-15_final
2001-01-16 09:35:05	ga_ls7e_ard_3-1-0_094083_2001-01-16_final
2001-06-25 09:33:59	ga_ls7e_ard_3-1-0_094083_2001-06-25_final
2001-08-05 09:27:30	ga_ls7e_ard_3-1-0_093083_2001-08-04_final
2001-11-03 10:00:40	ga_ls7e_ard_3-1-0_099075_2001-11-03_final
2002-05-21 10:09:36	ga_ls7e_ard_3-1-0_100081_2002-05-21_final
2002-11-13 10:08:46	ga_ls7e_ard_3-1-0_100081_2002-11-13_final
2003-01-16 10:09:20	ga_ls7e_ard_3-1-0_100081_2003-01-16_final
2003-08-02 09:29:51	ga_ls7e_ard_3-1-0_094075_2003-08-01_final
2005-04-01 09:34:16	ga_ls7e_ard_3-1-0_094083_2005-04-01_final
2006-06-13 10:34:50	ga_ls7e_ard_3-1-0_104079_2006-06-13_final
2006-06-29 10:34:44	ga_ls7e_ard_3-1-0_104079_2006-06-29_final
2007-02-18 09:35:03	ga_ls7e_ard_3-1-0_094083_2007-02-18_final
2007-11-17 09:34:45	ga_ls7e_ard_3-1-0_094083_2007-11-17_final
2008-02-21 09:34:52	ga_ls7e_ard_3-1-0_094083_2008-02-21_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2012-05-28 10:35:45	ga_ls7e_ard_3-1-0_104070_2012-05-28_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-10-22 09:34:14	ga_ls7e_ard_3-1-0_093083_2012-10-22_final
2013-01-27 10:17:06	ga_ls7e_ard_3-1-0_100081_2013-01-27_final
2013-04-13 10:37:14	ga_ls7e_ard_3-1-0_104070_2013-04-13_final
2013-09-07 09:33:59	ga_ls7e_ard_3-1-0_093083_2013-09-07_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-06-29 09:42:06	ga_ls7e_ard_3-1-0_094083_2014-06-29_final
2014-07-31 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-07-31_final
2014-10-03 09:42:30	ga_ls7e_ard_3-1-0_094083_2014-10-03_final
2014-10-19 09:42:39	ga_ls7e_ard_3-1-0_094083_2014-10-19_final
2015-05-15 09:44:03	ga_ls7e_ard_3-1-0_094083_2015-05-15_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2017-06-21 09:47:15	ga_ls7e_ard_3-1-0_094083_2017-06-21_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2017-09-25 09:47:12	ga_ls7e_ard_3-1-0_094083_2017-09-25_final
2018-01-05 10:43:20	ga_ls7e_ard_3-1-0_104070_2018-01-05_final
2018-01-21 10:45:06	ga_ls7e_ard_3-1-0_104075_2018-01-21_final
2019-01-24 10:39:19	ga_ls7e_ard_3-1-0_104079_2019-01-24_final
2019-02-19 09:37:08	ga_ls7e_ard_3-1-0_094080_2019-02-19_final
2019-02-25 10:38:21	ga_ls7e_ard_3-1-0_104079_2019-02-25_final
2019-03-07 09:35:26	ga_ls7e_ard_3-1-0_094077_2019-03-07_final
2019-03-07 09:36:14	ga_ls7e_ard_3-1-0_094079_2019-03-07_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-13 10:36:14	ga_ls7e_ard_3-1-0_104075_2019-03-13_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-03-23 09:35:42	ga_ls7e_ard_3-1-0_094079_2019-03-23_final
2019-03-29 10:36:30	ga_ls7e_ard_3-1-0_104077_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-05-29 10:02:09	ga_ls7e_ard_3-1-0_099074_2019-05-29_final
2019-08-30 09:28:48	ga_ls7e_ard_3-1-0_094077_2019-08-29_final
2019-09-15 09:28:30	ga_ls7e_ard_3-1-0_094078_2019-09-14_final
2019-09-24 09:25:55	ga_ls7e_ard_3-1-0_093088_2019-09-23_final
2019-09-30 10:22:40	ga_ls7e_ard_3-1-0_103076_2019-09-30_final
2019-10-07 10:28:34	ga_ls7e_ard_3-1-0_104076_2019-10-07_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-11 09:21:27	ga_ls7e_ard_3-1-0_093082_2019-11-10_final
2019-11-18 09:25:43	ga_ls7e_ard_3-1-0_094078_2019-11-17_final
2019-11-18 09:26:07	ga_ls7e_ard_3-1-0_094079_2019-11-17_final
2019-12-13 09:19:55	ga_ls7e_ard_3-1-0_093082_2019-12-12_final
2019-12-30 10:00:42	ga_ls7e_ard_3-1-0_100078_2019-12-30_final
2020-01-05 09:23:42	ga_ls7e_ard_3-1-0_094079_2020-01-04_final
2020-01-08 09:52:51	ga_ls7e_ard_3-1-0_099075_2020-01-08_final
2020-01-21 09:22:55	ga_ls7e_ard_3-1-0_094079_2020-01-20_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-02-01 10:42:18	ga_ls7e_ard_3-1-0_107078_2020-02-01_final
2020-02-05 10:16:35	ga_ls7e_ard_3-1-0_103076_2020-02-05_final
2020-02-12 10:22:00	ga_ls7e_ard_3-1-0_104075_2020-02-12_final
2020-02-12 10:24:24	ga_ls7e_ard_3-1-0_104081_2020-02-12_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-03-02 09:15:25	ga_ls7e_ard_3-1-0_093081_2020-03-01_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-03-31 10:17:48	ga_ls7e_ard_3-1-0_104071_2020-03-31_final
2020-03-31 10:18:12	ga_ls7e_ard_3-1-0_104072_2020-03-31_final
2020-04-08 11:09:35	ga_ls7e_ard_3-1-0_112078_2020-04-08_final
2020-04-09 10:12:19	ga_ls7e_ard_3-1-0_103074_2020-04-09_final
2020-04-10 09:17:26	ga_ls7e_ard_3-1-0_094076_2020-04-09_final
2020-04-14 08:54:28	ga_ls7e_ard_3-1-0_090081_2020-04-13_final
2020-04-26 09:16:30	ga_ls7e_ard_3-1-0_094076_2020-04-25_final
2020-04-26 09:17:17	ga_ls7e_ard_3-1-0_094078_2020-04-25_final
2020-04-29 09:46:01	ga_ls7e_ard_3-1-0_099073_2020-04-29_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-15 08:21:37	ga_ls7e_ard_3-2-1_094075_2022-03-14_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-28 09:26:46	ga_ls7e_ard_3-2-1_105071_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years