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
1999-09-20 11:34:44	ga_ls7e_ard_3-0-0_114067_1999-09-20_final
2000-03-14 11:39:35	ga_ls7e_ard_3-0-0_114080_2000-03-14_final
2000-04-10 09:41:58	ga_ls7e_ard_3-0-0_095080_2000-04-10_final
2000-04-22 11:43:54	ga_ls7e_ard_3-0-0_115076_2000-04-22_final
2000-09-01 09:35:17	ga_ls7e_ard_3-0-0_095067_2000-09-01_final
2001-01-22 08:58:03	ga_ls7e_ard_3-0-0_088083_2001-01-21_final
2001-12-30 11:35:14	ga_ls7e_ard_3-0-0_114079_2001-12-30_final
2002-03-27 11:40:25	ga_ls7e_ard_3-0-0_115076_2002-03-27_final
2002-07-05 09:38:25	ga_ls7e_ard_3-0-0_095081_2002-07-05_final
2003-01-13 09:38:24	ga_ls7e_ard_3-0-0_095081_2003-01-13_final
2003-01-13 09:39:36	ga_ls7e_ard_3-0-0_095084_2003-01-13_final
2003-01-29 09:38:30	ga_ls7e_ard_3-0-0_095081_2003-01-29_final
2003-10-17 11:30:03	ga_ls7e_ard_3-0-0_114067_2003-10-17_final
2004-09-24 11:39:49	ga_ls7e_ard_3-0-0_115075_2004-09-24_final
2004-10-30 09:40:50	ga_ls7e_ard_3-0-0_095086_2004-10-30_final
2004-11-15 09:39:44	ga_ls7e_ard_3-0-0_095083_2004-11-15_final
2005-04-13 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-13_final
2005-05-06 11:40:49	ga_ls7e_ard_3-0-0_115075_2005-05-06_final
2005-11-18 09:39:54	ga_ls7e_ard_3-0-0_095082_2005-11-18_final
2005-12-20 09:40:25	ga_ls7e_ard_3-0-0_095083_2005-12-20_final
2006-06-29 08:56:39	ga_ls7e_ard_3-0-0_088081_2006-06-28_final
2007-03-18 11:35:57	ga_ls7e_ard_3-0-0_114076_2007-03-18_final
2007-05-21 11:35:21	ga_ls7e_ard_3-0-0_114075_2007-05-21_final
2007-07-15 11:41:48	ga_ls7e_ard_3-0-0_115076_2007-07-15_final
2008-07-26 11:34:18	ga_ls7e_ard_3-0-0_114075_2008-07-26_final
2008-08-04 11:31:40	ga_ls7e_ard_3-0-0_113084_2008-08-04_final
2009-03-02 09:41:38	ga_ls7e_ard_3-0-0_095085_2009-03-02_final
2009-04-19 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-04-19_final
2009-05-17 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-05-17_final
2009-06-18 11:43:13	ga_ls7e_ard_3-0-0_115079_2009-06-18_final
2009-07-20 11:43:06	ga_ls7e_ard_3-0-0_115079_2009-07-20_final
2009-08-09 09:36:59	ga_ls7e_ard_3-1-0_095073_2009-08-09_final
2009-09-10 09:37:46	ga_ls7e_ard_3-0-0_095075_2009-09-10_final
2009-10-17 11:35:12	ga_ls7e_ard_3-0-0_114075_2009-10-17_final
2009-12-27 11:42:01	ga_ls7e_ard_3-0-0_115074_2009-12-27_final
2010-03-21 09:42:33	ga_ls7e_ard_3-0-0_095082_2010-03-21_final
2010-12-30 11:43:58	ga_ls7e_ard_3-0-0_115074_2010-12-30_final
2011-02-09 11:40:26	ga_ls7e_ard_3-0-0_114080_2011-02-09_final
2011-11-08 11:38:06	ga_ls7e_ard_3-0-0_114074_2011-11-08_final
2012-01-06 09:44:49	ga_ls7e_ard_3-0-0_095083_2012-01-06_final
2012-08-17 09:45:33	ga_ls7e_ard_3-0-0_095082_2012-08-17_final
2013-01-13 11:41:58	ga_ls7e_ard_3-0-0_114077_2013-01-13_final
2013-01-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-20_final
2013-01-29 11:40:50	ga_ls7e_ard_3-0-0_114074_2013-01-29_final
2013-08-20 09:46:56	ga_ls7e_ard_3-0-0_095085_2013-08-20_final
2013-10-23 09:42:52	ga_ls7e_ard_3-1-0_095073_2013-10-23_final
2013-12-15 11:43:21	ga_ls7e_ard_3-0-0_114080_2013-12-15_final
2014-03-05 11:38:37	ga_ls7e_ard_3-0-0_114067_2014-03-05_final
2014-05-24 11:43:59	ga_ls7e_ard_3-0-0_114079_2014-05-24_final
2015-12-21 11:47:29	ga_ls7e_ard_3-0-0_114078_2015-12-21_final
2016-02-07 11:46:52	ga_ls7e_ard_3-0-0_114075_2016-02-07_final
2016-02-18 09:52:40	ga_ls7e_ard_3-0-0_095083_2016-02-18_final
2017-01-19 09:50:06	ga_ls7e_ard_3-0-0_095076_2017-01-19_final
2017-03-24 09:54:36	ga_ls7e_ard_3-0-0_095087_2017-03-24_final
2018-02-12 11:46:10	ga_ls7e_ard_3-0-0_114074_2018-02-12_final
2018-04-28 09:51:19	ga_ls7e_ard_3-0-0_095083_2018-04-28_final
2018-12-13 11:40:49	ga_ls7e_ard_3-0-0_114075_2018-12-13_final
2019-02-15 11:38:28	ga_ls7e_ard_3-0-0_114074_2019-02-15_final
2019-07-25 11:29:55	ga_ls7e_ard_3-0-0_114067_2019-07-25_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-10-04 11:36:40	ga_ls7e_ard_3-1-0_115076_2019-10-04_final
2020-09-13 11:07:53	ga_ls7e_ard_3-1-0_114067_2020-09-13_final
2020-09-24 09:17:43	ga_ls7e_ard_3-1-0_095087_2020-09-23_final
2021-03-20 09:43:08	ga_ls7e_ard_3-2-0_102074_2021-03-20_final
2021-03-22 09:34:36	ga_ls7e_ard_3-2-0_100084_2021-03-22_final
2021-03-30 08:42:55	ga_ls7e_ard_3-2-0_092080_2021-03-29_final
2021-04-14 09:36:06	ga_ls7e_ard_3-2-0_101077_2021-04-14_final
2021-04-27 09:07:17	ga_ls7e_ard_3-2-0_096085_2021-04-26_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-16 09:31:00	ga_ls7e_ard_3-2-0_101071_2021-05-16_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-05-30 09:40:58	ga_ls7e_ard_3-2-0_103068_2021-05-30_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-07-04 10:12:10	ga_ls7e_ard_3-2-0_108076_2021-07-04_final
2021-07-06 09:58:51	ga_ls7e_ard_3-2-0_106074_2021-07-06_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-08-28 10:11:35	ga_ls7e_ard_3-2-0_109071_2021-08-28_final
2021-09-04 10:16:45	ga_ls7e_ard_3-2-0_110070_2021-09-04_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-11-19 10:38:32	ga_ls7e_ard_3-2-1_114080_2021-11-19_final
2021-11-26 09:03:34	ga_ls7e_ard_3-2-1_099076_2021-11-25_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2021-12-10 09:13:01	ga_ls7e_ard_3-2-1_101072_2021-12-09_final
2021-12-12 10:40:33	ga_ls7e_ard_3-2-1_115075_2021-12-12_final
2021-12-14 10:28:00	ga_ls7e_ard_3-2-1_113075_2021-12-14_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-15 08:47:11	ga_ls7e_ard_3-2-1_097078_2022-01-14_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-19 09:11:49	ga_ls7e_ard_3-2-1_102071_2022-02-18_final
2022-03-04 08:39:16	ga_ls7e_ard_3-2-1_097070_2022-03-03_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-29 10:12:43	ga_ls7e_ard_3-2-1_112078_2022-03-29_final
2022-04-04 07:58:58	ga_ls7e_ard_3-2-1_090085_2022-04-03_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