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
2000-09-17 09:37:21	ga_ls7e_ard_3-1-0_095073_2000-09-17_final
2001-04-29 09:37:17	ga_ls7e_ard_3-0-0_095074_2001-04-29_final
2002-09-23 09:38:10	ga_ls7e_ard_3-0-0_095082_2002-09-23_final
2003-03-02 09:39:06	ga_ls7e_ard_3-0-0_095082_2003-03-02_final
2003-08-09 09:35:36	ga_ls7e_ard_3-0-0_095074_2003-08-09_final
2003-10-24 11:41:09	ga_ls7e_ard_3-0-0_115079_2003-10-24_final
2004-10-26 11:39:35	ga_ls7e_ard_3-0-0_115074_2004-10-26_final
2004-11-27 11:39:53	ga_ls7e_ard_3-0-0_115074_2004-11-27_final
2004-12-01 09:38:42	ga_ls7e_ard_3-0-0_095080_2004-12-01_final
2005-02-24 11:34:41	ga_ls7e_ard_3-0-0_114075_2005-02-24_final
2005-03-12 11:34:20	ga_ls7e_ard_3-0-0_114074_2005-03-12_final
2005-04-20 11:40:44	ga_ls7e_ard_3-0-0_115075_2005-04-20_final
2005-08-10 11:40:58	ga_ls7e_ard_3-0-0_115076_2005-08-10_final
2005-10-01 09:41:27	ga_ls7e_ard_3-0-0_095087_2005-10-01_final
2006-02-21 08:56:49	ga_ls7e_ard_3-0-0_088081_2006-02-20_final
2006-03-15 11:36:43	ga_ls7e_ard_3-0-0_114079_2006-03-15_final
2007-01-13 11:35:14	ga_ls7e_ard_3-0-0_114075_2007-01-13_final
2007-01-29 11:35:44	ga_ls7e_ard_3-0-0_114076_2007-01-29_final
2007-03-18 11:35:33	ga_ls7e_ard_3-0-0_114075_2007-03-18_final
2007-09-17 11:41:01	ga_ls7e_ard_3-0-0_115075_2007-09-17_final
2007-11-20 11:40:58	ga_ls7e_ard_3-0-0_115074_2007-11-20_final
2008-06-19 09:41:17	ga_ls7e_ard_3-0-0_095085_2008-06-19_final
2008-09-19 11:39:41	ga_ls7e_ard_3-0-0_115074_2008-09-19_final
2009-10-28 09:40:45	ga_ls7e_ard_3-0-0_095082_2009-10-28_final
2010-04-18 11:44:37	ga_ls7e_ard_3-0-0_115078_2010-04-18_final
2010-05-13 11:38:45	ga_ls7e_ard_3-0-0_114079_2010-05-13_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2011-12-17 11:45:02	ga_ls7e_ard_3-0-0_115075_2011-12-17_final
2012-03-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2012-03-06_final
2012-05-02 11:41:30	ga_ls7e_ard_3-0-0_114080_2012-05-02_final
2012-11-01 11:47:51	ga_ls7e_ard_3-0-0_115077_2012-11-01_final
2012-12-03 11:47:35	ga_ls7e_ard_3-0-0_115076_2012-12-03_final
2013-04-29 09:03:03	ga_ls7e_ard_3-0-0_088082_2013-04-28_final
2013-11-20 11:47:23	ga_ls7e_ard_3-0-0_115075_2013-11-20_final
2014-12-02 11:44:12	ga_ls7e_ard_3-0-0_114077_2014-12-02_final
2015-03-31 11:49:52	ga_ls7e_ard_3-0-0_115074_2015-03-31_final
2015-06-07 09:51:10	ga_ls7e_ard_3-0-0_095085_2015-06-07_final
2015-06-12 11:46:13	ga_ls7e_ard_3-0-0_114079_2015-06-12_final
2016-03-17 11:53:43	ga_ls7e_ard_3-0-0_115076_2016-03-17_final
2016-10-31 09:49:28	ga_ls7e_ard_3-1-0_095073_2016-10-31_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-01-19 09:49:42	ga_ls7e_ard_3-0-0_095075_2017-01-19_final
2017-10-23 11:49:16	ga_ls7e_ard_3-0-0_114079_2017-10-23_final
2018-05-14 09:50:38	ga_ls7e_ard_3-0-0_095082_2018-05-14_final
2018-07-17 09:49:29	ga_ls7e_ard_3-0-0_095082_2018-07-17_final
2018-08-07 11:44:33	ga_ls7e_ard_3-0-0_114077_2018-08-07_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-03-14 09:39:23	ga_ls7e_ard_3-1-0_095072_2019-03-14_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-04-17 09:26:48	ga_ls7e_ard_3-1-0_095085_2020-04-16_final
2020-09-08 09:18:23	ga_ls7e_ard_3-1-0_095086_2020-09-07_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-26 10:21:32	ga_ls7e_ard_3-2-0_108073_2021-02-26_final
2021-03-05 08:48:42	ga_ls7e_ard_3-2-0_093074_2021-03-04_final
2021-03-14 10:24:41	ga_ls7e_ard_3-2-0_108084_2021-03-14_final
2021-04-09 09:15:35	ga_ls7e_ard_3-2-0_098071_2021-04-08_final
2021-04-29 10:32:02	ga_ls7e_ard_3-2-0_110081_2021-04-29_final
2021-05-03 10:03:48	ga_ls7e_ard_3-2-0_106073_2021-05-03_final
2021-05-22 10:34:17	ga_ls7e_ard_3-2-0_111076_2021-05-22_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-07 10:29:21	ga_ls7e_ard_3-2-0_111067_2021-06-07_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-11 08:40:53	ga_ls7e_ard_3-2-0_093081_2021-07-10_final
2021-07-11 10:20:33	ga_ls7e_ard_3-2-0_109083_2021-07-11_final
2021-07-22 09:59:52	ga_ls7e_ard_3-2-0_106080_2021-07-22_final
2021-07-30 10:46:37	ga_ls7e_ard_3-2-0_114075_2021-07-30_final
2021-08-12 08:35:17	ga_ls7e_ard_3-2-0_093074_2021-08-11_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-08-23 08:16:59	ga_ls7e_ard_3-2-0_090077_2021-08-22_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-09-24 09:49:51	ga_ls7e_ard_3-2-0_106069_2021-09-24_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-11-07 10:15:23	ga_ls7e_ard_3-2-0_110081_2021-11-07_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-14 08:47:31	ga_ls7e_ard_3-2-1_097071_2021-12-13_final
2021-12-20 08:11:51	ga_ls7e_ard_3-2-1_091076_2021-12-19_final
2021-12-27 08:20:56	ga_ls7e_ard_3-2-1_092085_2021-12-26_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-09 09:26:26	ga_ls7e_ard_3-2-1_103082_2022-01-08_final
2022-01-10 10:04:24	ga_ls7e_ard_3-2-1_110069_2022-01-10_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-22 08:48:43	ga_ls7e_ard_3-2-1_098068_2022-01-21_final
2022-01-31 08:47:14	ga_ls7e_ard_3-2-1_097082_2022-01-30_final
2022-02-04 10:01:23	ga_ls7e_ard_3-2-1_109083_2022-02-04_final
2022-02-13 09:50:17	ga_ls7e_ard_3-2-1_108073_2022-02-13_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-23 10:27:59	ga_ls7e_ard_3-2-1_114077_2022-02-23_final
2022-03-02 08:57:24	ga_ls7e_ard_3-2-1_099084_2022-03-01_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_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