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
2000-10-08 11:36:36	ga_ls7e_ard_3-0-0_114078_2000-10-08_final
2000-12-13 11:26:39	ga_ls7e_ard_3-1-0_112084_2000-12-13_final
2002-06-26 11:24:17	ga_ls7e_ard_3-0-0_112083_2002-06-26_final
2005-07-18 11:34:27	ga_ls7e_ard_3-0-0_114075_2005-07-18_final
2005-08-26 11:40:51	ga_ls7e_ard_3-0-0_115076_2005-08-26_final
2005-09-29 11:24:43	ga_ls7e_ard_3-0-0_113067_2005-09-29_final
2005-11-07 11:36:02	ga_ls7e_ard_3-0-0_114079_2005-11-07_final
2005-12-02 11:30:26	ga_ls7e_ard_3-0-0_113080_2005-12-02_final
2006-02-11 11:37:04	ga_ls7e_ard_3-0-0_114080_2006-02-11_final
2006-02-20 11:32:31	ga_ls7e_ard_3-0-0_113084_2006-02-20_final
2006-08-22 11:34:17	ga_ls7e_ard_3-0-0_114074_2006-08-22_final
2007-01-06 11:31:03	ga_ls7e_ard_3-0-0_113080_2007-01-06_final
2007-08-09 11:31:55	ga_ls7e_ard_3-0-0_114067_2007-08-09_final
2007-11-13 11:36:19	ga_ls7e_ard_3-0-0_114078_2007-11-13_final
2008-04-14 11:32:34	ga_ls7e_ard_3-0-0_113084_2008-04-14_final
2008-08-18 11:41:56	ga_ls7e_ard_3-0-0_115079_2008-08-18_final
2009-04-10 11:25:23	ga_ls7e_ard_3-0-0_112081_2009-04-10_final
2009-07-20 11:41:54	ga_ls7e_ard_3-0-0_115076_2009-07-20_final
2010-02-15 11:34:21	ga_ls7e_ard_3-0-0_113084_2010-02-15_final
2010-09-02 11:37:18	ga_ls7e_ard_3-0-0_114075_2010-09-02_final
2011-02-25 11:40:31	ga_ls7e_ard_3-0-0_114080_2011-02-25_final
2012-02-14 11:29:35	ga_ls7e_ard_3-0-0_112082_2012-02-14_final
2012-02-19 11:44:57	ga_ls7e_ard_3-0-0_115074_2012-02-19_final
2012-07-05 11:40:27	ga_ls7e_ard_3-0-0_114077_2012-07-05_final
2012-11-17 11:47:58	ga_ls7e_ard_3-1-0_115077_2012-11-17_final
2012-12-19 11:47:43	ga_ls7e_ard_3-0-0_115076_2012-12-19_final
2012-12-21 11:31:47	ga_ls7e_ard_3-0-0_113067_2012-12-21_final
2013-02-16 11:32:27	ga_ls7e_ard_3-0-0_112084_2013-02-16_final
2013-07-17 11:37:01	ga_ls7e_ard_3-0-0_113082_2013-07-17_final
2013-08-02 11:33:42	ga_ls7e_ard_3-0-0_113074_2013-08-02_final
2013-10-14 11:32:15	ga_ls7e_ard_3-1-0_112084_2013-10-14_final
2013-11-06 11:37:46	ga_ls7e_ard_3-0-0_113082_2013-11-06_final
2014-01-07 11:48:51	ga_ls7e_ard_3-0-0_115078_2014-01-07_final
2014-03-05 11:43:48	ga_ls7e_ard_3-0-0_114080_2014-03-05_final
2014-04-13 11:48:15	ga_ls7e_ard_3-0-0_115075_2014-04-13_final
2015-02-20 11:44:11	ga_ls7e_ard_3-0-0_114076_2015-02-20_final
2015-05-27 11:46:29	ga_ls7e_ard_3-0-0_114080_2015-05-27_final
2015-06-14 11:35:52	ga_ls7e_ard_3-0-0_112084_2015-06-14_final
2015-07-14 11:41:34	ga_ls7e_ard_3-0-0_114067_2015-07-14_final
2015-08-08 11:40:40	ga_ls7e_ard_3-0-0_113080_2015-08-08_final
2015-10-11 11:40:57	ga_ls7e_ard_3-0-0_113080_2015-10-11_final
2015-12-23 11:37:08	ga_ls7e_ard_3-0-0_112083_2015-12-23_final
2016-05-13 11:48:37	ga_ls7e_ard_3-0-0_114078_2016-05-13_final
2016-11-30 11:41:21	ga_ls7e_ard_3-0-0_113075_2016-11-30_final
2016-12-07 11:47:31	ga_ls7e_ard_3-0-0_114075_2016-12-07_final
2017-01-01 11:43:08	ga_ls7e_ard_3-0-0_113080_2017-01-01_final
2017-02-18 11:37:38	ga_ls7e_ard_3-0-0_113067_2017-02-18_final
2017-03-06 11:44:33	ga_ls7e_ard_3-0-0_113084_2017-03-06_final
2017-03-29 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-03-29_final
2017-04-14 11:46:58	ga_ls7e_ard_3-0-0_114074_2017-04-14_final
2017-12-19 11:41:10	ga_ls7e_ard_3-0-0_113075_2017-12-19_final
2018-03-16 11:47:49	ga_ls7e_ard_3-0-0_114079_2018-03-16_final
2018-07-15 11:38:46	ga_ls7e_ard_3-0-0_113077_2018-07-15_final
2018-12-13 11:42:00	ga_ls7e_ard_3-0-0_114078_2018-12-13_final
2019-01-16 11:30:37	ga_ls7e_ard_3-0-0_112083_2019-01-16_final
2019-05-15 11:32:23	ga_ls7e_ard_3-0-0_113082_2019-05-15_final
2019-08-10 11:32:51	ga_ls7e_ard_3-0-0_114076_2019-08-10_final
2019-11-23 11:24:54	ga_ls7e_ard_3-1-0_113083_2019-11-23_final
2019-12-16 11:27:33	ga_ls7e_ard_3-1-0_114077_2019-12-16_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2020-01-08 11:32:08	ga_ls7e_ard_3-1-0_115076_2020-01-08_final
2020-07-04 11:08:59	ga_ls7e_ard_3-1-0_113074_2020-07-04_final
2020-12-05 10:00:18	ga_ls7e_ard_3-1-0_103082_2020-12-05_final
2020-12-08 08:51:42	ga_ls7e_ard_3-1-0_092081_2020-12-07_final
2020-12-09 09:34:53	ga_ls7e_ard_3-1-0_099081_2020-12-09_final
2021-01-02 10:20:59	ga_ls7e_ard_3-1-0_107077_2021-01-02_final
2021-01-09 10:28:40	ga_ls7e_ard_3-1-0_108082_2021-01-09_final
2021-02-10 08:47:04	ga_ls7e_ard_3-2-0_092081_2021-02-09_final
2021-02-26 10:24:20	ga_ls7e_ard_3-2-0_108080_2021-02-26_final
2021-03-05 10:30:22	ga_ls7e_ard_3-2-0_109081_2021-03-05_final
2021-03-11 09:50:49	ga_ls7e_ard_3-2-0_103076_2021-03-11_final
2021-03-24 09:19:17	ga_ls7e_ard_3-2-0_098077_2021-03-23_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-04-29 08:49:58	ga_ls7e_ard_3-2-0_094073_2021-04-28_final
2021-05-08 08:47:26	ga_ls7e_ard_3-2-0_093084_2021-05-07_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-22 08:57:24	ga_ls7e_ard_3-2-0_095081_2021-05-21_final
2021-05-23 09:38:11	ga_ls7e_ard_3-2-0_102075_2021-05-23_final
2021-06-20 08:22:54	ga_ls7e_ard_3-2-0_090078_2021-06-19_final
2021-07-14 09:11:31	ga_ls7e_ard_3-2-0_098081_2021-07-13_final
2021-08-04 09:27:50	ga_ls7e_ard_3-2-0_101080_2021-08-03_final
2021-08-10 08:47:50	ga_ls7e_ard_3-2-0_095074_2021-08-09_final
2021-08-14 10:02:25	ga_ls7e_ard_3-2-0_107076_2021-08-14_final
2021-09-06 08:29:20	ga_ls7e_ard_3-2-0_092080_2021-09-05_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-30 09:26:18	ga_ls7e_ard_3-2-0_102080_2021-10-29_final
2021-11-02 08:21:38	ga_ls7e_ard_3-2-0_091089_2021-11-01_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-07 08:46:24	ga_ls7e_ard_3-2-1_096082_2021-12-06_final
2021-12-11 08:18:30	ga_ls7e_ard_3-2-1_092075_2021-12-10_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-12 09:55:51	ga_ls7e_ard_3-2-1_108079_2022-01-12_final
2022-01-30 08:03:16	ga_ls7e_ard_3-2-1_090080_2022-01-29_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-04 08:19:43	ga_ls7e_ard_3-2-1_093076_2022-02-03_final
2022-02-05 09:06:04	ga_ls7e_ard_3-2-1_100084_2022-02-04_final
2022-02-22 09:43:37	ga_ls7e_ard_3-2-1_107074_2022-02-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years