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
1999-12-04 09:44:50	ga_ls7e_ard_3-0-0_095086_1999-12-04_final
2000-12-18 11:42:49	ga_ls7e_ard_3-0-0_115078_2000-12-18_final
2001-03-28 09:40:33	ga_ls7e_ard_3-0-0_095082_2001-03-28_final
2001-12-25 09:35:30	ga_ls7e_ard_3-1-0_095073_2001-12-25_final
2003-01-13 09:35:36	ga_ls7e_ard_3-0-0_095074_2003-01-13_final
2003-03-18 09:39:06	ga_ls7e_ard_3-0-0_095082_2003-03-18_final
2003-09-22 11:39:48	ga_ls7e_ard_3-0-0_115076_2003-09-22_final
2004-02-17 09:41:30	ga_ls7e_ard_3-0-0_095087_2004-02-17_final
2004-04-05 09:40:50	ga_ls7e_ard_3-0-0_095085_2004-04-05_final
2004-05-03 11:40:23	ga_ls7e_ard_3-0-0_115075_2004-05-03_final
2005-03-07 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-07_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-07-09 11:42:13	ga_ls7e_ard_3-0-0_115079_2005-07-09_final
2005-12-04 09:36:48	ga_ls7e_ard_3-1-0_095074_2005-12-04_final
2006-01-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-01-01_final
2006-02-22 09:40:04	ga_ls7e_ard_3-0-0_095081_2006-02-22_final
2006-03-10 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-10_final
2007-03-13 09:34:56	ga_ls7e_ard_3-0-0_095067_2007-03-13_final
2007-04-30 09:42:27	ga_ls7e_ard_3-0-0_095086_2007-04-30_final
2007-06-17 09:40:15	ga_ls7e_ard_3-0-0_095081_2007-06-17_final
2008-02-28 09:41:00	ga_ls7e_ard_3-0-0_095083_2008-02-28_final
2008-03-31 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-31_final
2008-04-16 09:40:55	ga_ls7e_ard_3-0-0_095083_2008-04-16_final
2008-06-19 09:40:06	ga_ls7e_ard_3-0-0_095082_2008-06-19_final
2008-10-21 11:40:23	ga_ls7e_ard_3-0-0_115076_2008-10-21_final
2008-11-26 09:33:42	ga_ls7e_ard_3-0-0_095067_2008-11-26_final
2009-04-15 11:43:09	ga_ls7e_ard_3-0-0_115079_2009-04-15_final
2009-05-21 09:42:26	ga_ls7e_ard_3-0-0_095086_2009-05-21_final
2009-08-25 09:40:10	ga_ls7e_ard_3-0-0_095081_2009-08-25_final
2010-04-22 09:42:12	ga_ls7e_ard_3-0-0_095081_2010-04-22_final
2010-07-23 11:44:37	ga_ls7e_ard_3-0-0_115078_2010-07-23_final
2011-04-05 11:44:50	ga_ls7e_ard_3-0-0_115075_2011-04-05_final
2011-11-15 11:44:46	ga_ls7e_ard_3-0-0_115075_2011-11-15_final
2012-03-26 09:44:55	ga_ls7e_ard_3-0-0_095083_2012-03-26_final
2012-04-27 09:44:20	ga_ls7e_ard_3-0-0_095081_2012-04-27_final
2012-07-15 09:01:31	ga_ls7e_ard_3-0-0_088081_2012-07-14_final
2012-07-28 11:47:19	ga_ls7e_ard_3-0-0_115078_2012-07-28_final
2013-02-21 11:47:23	ga_ls7e_ard_3-0-0_115075_2013-02-21_final
2013-06-13 11:48:04	ga_ls7e_ard_3-0-0_115078_2013-06-13_final
2013-09-05 09:39:56	ga_ls7e_ard_3-0-0_095067_2013-09-05_final
2015-01-30 09:49:03	ga_ls7e_ard_3-0-0_095082_2015-01-30_final
2015-04-20 09:49:37	ga_ls7e_ard_3-0-0_095082_2015-04-20_final
2015-08-26 09:49:03	ga_ls7e_ard_3-1-0_095079_2015-08-26_final
2016-05-24 09:50:03	ga_ls7e_ard_3-0-0_095075_2016-05-24_final
2016-06-09 09:46:57	ga_ls7e_ard_3-0-0_095067_2016-06-09_final
2017-09-16 09:52:58	ga_ls7e_ard_3-0-0_095082_2017-09-16_final
2017-10-02 09:53:47	ga_ls7e_ard_3-0-0_095084_2017-10-02_final
2018-02-03 11:53:40	ga_ls7e_ard_3-1-0_115077_2018-02-03_final
2018-06-15 09:50:54	ga_ls7e_ard_3-0-0_095084_2018-06-15_final
2018-12-20 11:46:47	ga_ls7e_ard_3-0-0_115075_2018-12-20_final
2019-02-10 09:45:34	ga_ls7e_ard_3-0-0_095085_2019-02-10_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-11-27 09:12:39	ga_ls7e_ard_3-1-0_095085_2020-11-26_final
2020-12-09 11:12:10	ga_ls7e_ard_3-1-0_115077_2020-12-09_final
2021-01-21 09:12:27	ga_ls7e_ard_3-2-0_096079_2021-01-20_final
2021-02-20 11:01:05	ga_ls7e_ard_3-2-0_114078_2021-02-20_final
2021-03-09 08:26:04	ga_ls7e_ard_3-2-0_089080_2021-03-08_final
2021-03-11 09:50:49	ga_ls7e_ard_3-2-0_103076_2021-03-11_final
2021-03-22 09:34:12	ga_ls7e_ard_3-2-0_100083_2021-03-22_final
2021-04-15 08:43:35	ga_ls7e_ard_3-2-0_092085_2021-04-14_final
2021-04-16 09:26:22	ga_ls7e_ard_3-2-0_099084_2021-04-15_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-05-12 08:21:11	ga_ls7e_ard_3-2-0_089081_2021-05-11_final
2021-05-27 09:13:55	ga_ls7e_ard_3-2-0_098077_2021-05-26_final
2021-06-11 10:09:54	ga_ls7e_ard_3-2-0_107081_2021-06-11_final
2021-07-07 10:44:01	ga_ls7e_ard_3-2-0_113079_2021-07-07_final
2021-08-06 09:12:06	ga_ls7e_ard_3-2-0_099072_2021-08-05_final
2021-08-14 08:24:21	ga_ls7e_ard_3-2-0_091078_2021-08-13_final
2021-08-24 10:41:50	ga_ls7e_ard_3-2-0_113084_2021-08-24_final
2021-09-07 09:14:06	ga_ls7e_ard_3-2-0_099084_2021-09-06_final
2021-09-07 10:49:47	ga_ls7e_ard_3-2-0_115076_2021-09-07_final
2021-09-09 09:00:22	ga_ls7e_ard_3-2-0_097081_2021-09-08_final
2021-09-18 10:33:04	ga_ls7e_ard_3-2-0_112083_2021-09-18_final
2021-09-19 09:31:46	ga_ls7e_ard_3-2-0_103069_2021-09-19_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-09-27 08:46:24	ga_ls7e_ard_3-2-0_095081_2021-09-26_final
2021-09-29 10:13:32	ga_ls7e_ard_3-2-0_109083_2021-09-29_final
2021-10-09 09:10:52	ga_ls7e_ard_3-2-0_099083_2021-10-08_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-17 09:57:11	ga_ls7e_ard_3-2-0_107077_2021-10-17_final
2021-10-17 09:59:59	ga_ls7e_ard_3-2-0_107084_2021-10-17_final
2021-11-03 08:56:25	ga_ls7e_ard_3-2-0_098068_2021-11-02_final
2021-11-07 10:15:47	ga_ls7e_ard_3-2-0_110082_2021-11-07_final
2021-11-16 10:08:20	ga_ls7e_ard_3-2-1_109081_2021-11-16_final
2021-11-19 08:56:52	ga_ls7e_ard_3-2-1_098073_2021-11-18_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-23 08:42:04	ga_ls7e_ard_3-2-1_096075_2021-12-22_final
2021-12-25 10:07:35	ga_ls7e_ard_3-2-1_110073_2021-12-25_final
2021-12-29 09:42:27	ga_ls7e_ard_3-2-1_106073_2021-12-29_final
2021-12-30 10:28:25	ga_ls7e_ard_3-2-1_113080_2021-12-30_final
2022-01-05 08:10:39	ga_ls7e_ard_3-2-1_091077_2022-01-04_final
2022-01-09 09:25:38	ga_ls7e_ard_3-2-1_103080_2022-01-08_final
2022-02-10 09:20:06	ga_ls7e_ard_3-2-1_103074_2022-02-09_final
2022-02-14 08:54:09	ga_ls7e_ard_3-2-1_099072_2022-02-13_final
2022-03-04 10:22:08	ga_ls7e_ard_3-2-1_113080_2022-03-04_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-03-29 08:36:14	ga_ls7e_ard_3-2-1_096084_2022-03-28_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_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