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
1999-08-19 11:39:51	ga_ls7e_ard_3-0-0_114080_1999-08-19_final
1999-11-16 11:34:55	ga_ls7e_ard_3-0-0_113083_1999-11-16_final
2000-07-29 11:33:14	ga_ls7e_ard_3-0-0_113083_2000-07-29_final
2001-04-02 11:35:32	ga_ls7e_ard_3-0-0_114076_2001-04-02_final
2001-05-13 11:31:10	ga_ls7e_ard_3-0-0_113081_2001-05-13_final
2001-08-24 11:30:37	ga_ls7e_ard_3-0-0_114067_2001-08-24_final
2001-09-18 11:29:42	ga_ls7e_ard_3-0-0_113081_2001-09-18_final
2002-08-27 11:34:12	ga_ls7e_ard_3-0-0_114078_2002-08-27_final
2002-10-14 11:34:18	ga_ls7e_ard_3-0-0_114079_2002-10-14_final
2004-06-06 11:28:44	ga_ls7e_ard_3-0-0_113077_2004-06-06_final
2004-07-31 11:34:40	ga_ls7e_ard_3-0-0_114077_2004-07-31_final
2005-10-15 11:31:33	ga_ls7e_ard_3-0-0_113084_2005-10-15_final
2006-07-28 11:42:30	ga_ls7e_ard_3-0-0_115079_2006-07-28_final
2006-11-19 11:30:25	ga_ls7e_ard_3-0-0_113079_2006-11-19_final
2009-11-27 11:30:24	ga_ls7e_ard_3-0-0_113077_2009-11-27_final
2009-11-27 11:30:48	ga_ls7e_ard_3-0-0_113078_2009-11-27_final
2010-01-14 11:31:08	ga_ls7e_ard_3-0-0_113077_2010-01-14_final
2010-05-06 11:31:49	ga_ls7e_ard_3-0-0_113077_2010-05-06_final
2010-10-13 11:33:36	ga_ls7e_ard_3-0-0_113081_2010-10-13_final
2011-03-06 11:33:35	ga_ls7e_ard_3-0-0_113078_2011-03-06_final
2011-08-13 11:35:03	ga_ls7e_ard_3-0-0_113082_2011-08-13_final
2012-05-11 11:35:31	ga_ls7e_ard_3-0-0_113080_2012-05-11_final
2012-05-18 11:39:44	ga_ls7e_ard_3-0-0_114075_2012-05-18_final
2012-10-02 11:38:03	ga_ls7e_ard_3-0-0_113084_2012-10-02_final
2012-10-16 11:47:45	ga_ls7e_ard_3-1-0_115077_2012-10-16_final
2013-04-19 11:40:59	ga_ls7e_ard_3-0-0_114075_2013-04-19_final
2014-04-22 11:42:12	ga_ls7e_ard_3-0-0_114075_2014-04-22_final
2014-10-08 11:37:11	ga_ls7e_ard_3-0-0_113076_2014-10-08_final
2014-10-15 11:44:12	ga_ls7e_ard_3-0-0_114078_2014-10-15_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-06-28 11:46:15	ga_ls7e_ard_3-0-0_114079_2015-06-28_final
2015-11-12 11:41:06	ga_ls7e_ard_3-0-0_113079_2015-11-12_final
2015-12-14 11:40:24	ga_ls7e_ard_3-0-0_113076_2015-12-14_final
2016-07-16 11:47:59	ga_ls7e_ard_3-0-0_114076_2016-07-16_final
2016-11-30 11:42:57	ga_ls7e_ard_3-0-0_113079_2016-11-30_final
2018-03-16 11:46:13	ga_ls7e_ard_3-0-0_114075_2018-03-16_final
2018-04-17 11:46:56	ga_ls7e_ard_3-0-0_114078_2018-04-17_final
2018-07-31 11:40:05	ga_ls7e_ard_3-0-0_113081_2018-07-31_final
2018-10-19 11:37:33	ga_ls7e_ard_3-0-0_113079_2018-10-19_final
2019-03-12 11:32:42	ga_ls7e_ard_3-1-0_113077_2019-03-12_final
2019-05-15 11:30:47	ga_ls7e_ard_3-0-0_113078_2019-05-15_final
2019-08-10 11:32:27	ga_ls7e_ard_3-0-0_114075_2019-08-10_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2020-03-05 11:23:02	ga_ls7e_ard_3-1-0_114076_2020-03-05_final
2020-05-08 11:20:58	ga_ls7e_ard_3-1-0_114080_2020-05-08_final
2020-11-27 09:10:15	ga_ls7e_ard_3-1-0_095079_2020-11-26_final
2020-12-08 10:31:46	ga_ls7e_ard_3-1-0_108084_2020-12-08_final
2020-12-27 10:58:52	ga_ls7e_ard_3-1-0_113078_2020-12-27_final
2021-01-21 09:10:28	ga_ls7e_ard_3-2-0_096074_2021-01-20_final
2021-01-26 09:29:26	ga_ls7e_ard_3-2-0_099076_2021-01-25_final
2021-02-04 09:21:24	ga_ls7e_ard_3-2-0_098073_2021-02-03_final
2021-02-17 10:30:00	ga_ls7e_ard_3-2-0_109077_2021-02-17_final
2021-03-13 09:36:43	ga_ls7e_ard_3-2-0_101072_2021-03-13_final
2021-03-19 10:39:38	ga_ls7e_ard_3-2-0_111076_2021-03-19_final
2021-04-15 08:40:23	ga_ls7e_ard_3-2-0_092077_2021-04-14_final
2021-04-26 10:00:59	ga_ls7e_ard_3-2-0_105080_2021-04-26_final
2021-04-27 09:06:05	ga_ls7e_ard_3-2-0_096082_2021-04-26_final
2021-05-20 10:46:49	ga_ls7e_ard_3-2-0_113076_2021-05-20_final
2021-05-26 08:32:45	ga_ls7e_ard_3-2-0_091082_2021-05-25_final
2021-06-02 10:12:48	ga_ls7e_ard_3-2-0_108071_2021-06-02_final
2021-06-14 08:59:40	ga_ls7e_ard_3-2-0_096076_2021-06-13_final
2021-06-17 09:29:08	ga_ls7e_ard_3-2-0_101073_2021-06-16_final
2021-06-17 09:31:08	ga_ls7e_ard_3-2-0_101078_2021-06-17_final
2021-06-18 10:14:42	ga_ls7e_ard_3-2-0_108079_2021-06-18_final
2021-06-22 09:46:04	ga_ls7e_ard_3-2-0_104070_2021-06-22_final
2021-06-23 10:31:14	ga_ls7e_ard_3-2-0_111075_2021-06-23_final
2021-06-29 09:52:51	ga_ls7e_ard_3-2-0_105073_2021-06-29_final
2021-07-09 10:30:41	ga_ls7e_ard_3-2-0_111077_2021-07-09_final
2021-07-12 09:20:52	ga_ls7e_ard_3-2-0_100073_2021-07-11_final
2021-07-14 09:11:55	ga_ls7e_ard_3-2-0_098082_2021-07-13_final
2021-07-22 08:21:00	ga_ls7e_ard_3-2-0_090080_2021-07-21_final
2021-08-05 10:07:49	ga_ls7e_ard_3-2-0_108072_2021-08-05_final
2021-08-07 09:58:04	ga_ls7e_ard_3-2-0_106079_2021-08-07_final
2021-08-14 08:25:33	ga_ls7e_ard_3-2-0_091081_2021-08-13_final
2021-08-14 10:00:50	ga_ls7e_ard_3-2-0_107072_2021-08-14_final
2021-08-21 10:07:59	ga_ls7e_ard_3-2-0_108076_2021-08-21_final
2021-08-28 10:15:58	ga_ls7e_ard_3-2-0_109082_2021-08-28_final
2021-08-29 09:17:52	ga_ls7e_ard_3-2-0_100076_2021-08-28_final
2021-08-30 09:59:51	ga_ls7e_ard_3-2-0_107073_2021-08-30_final
2021-09-02 08:56:24	ga_ls7e_ard_3-2-0_096085_2021-09-01_final
2021-09-17 09:45:54	ga_ls7e_ard_3-2-0_105073_2021-09-17_final
2021-09-26 09:37:43	ga_ls7e_ard_3-2-0_104070_2021-09-26_final
2021-09-28 09:28:22	ga_ls7e_ard_3-2-0_102078_2021-09-27_final
2021-10-06 08:39:26	ga_ls7e_ard_3-2-0_094081_2021-10-05_final
2021-10-17 09:55:12	ga_ls7e_ard_3-2-0_107072_2021-10-17_final
2021-10-18 09:02:17	ga_ls7e_ard_3-2-0_098079_2021-10-17_final
2021-10-19 08:08:10	ga_ls7e_ard_3-2-0_089083_2021-10-18_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-10-26 09:50:36	ga_ls7e_ard_3-2-0_106078_2021-10-26_final
2021-11-07 10:14:59	ga_ls7e_ard_3-2-0_110080_2021-11-07_final
2021-12-11 08:20:30	ga_ls7e_ard_3-2-1_092080_2021-12-10_final
2022-01-17 10:14:19	ga_ls7e_ard_3-2-1_111080_2022-01-17_final
2022-02-07 10:29:59	ga_ls7e_ard_3-2-1_114078_2022-02-07_final
2022-02-18 10:10:19	ga_ls7e_ard_3-2-1_111078_2022-02-18_final
2022-02-25 08:35:22	ga_ls7e_ard_3-2-1_096074_2022-02-24_final
2022-02-25 08:37:45	ga_ls7e_ard_3-2-1_096080_2022-02-24_final
2022-02-28 09:06:46	ga_ls7e_ard_3-2-1_101076_2022-02-27_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_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