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
1999-11-23 11:39:48	ga_ls7e_ard_3-0-0_114080_1999-11-23_final
2000-06-18 11:38:04	ga_ls7e_ard_3-0-0_114078_2000-06-18_final
2000-08-05 11:37:21	ga_ls7e_ard_3-0-0_114078_2000-08-05_final
2000-11-09 11:32:09	ga_ls7e_ard_3-0-0_114067_2000-11-09_final
2001-12-14 11:30:30	ga_ls7e_ard_3-0-0_114067_2001-12-14_final
2002-01-31 11:35:25	ga_ls7e_ard_3-0-0_114079_2002-01-31_final
2002-02-07 11:39:41	ga_ls7e_ard_3-0-0_115074_2002-02-07_final
2002-03-20 11:34:35	ga_ls7e_ard_3-0-0_114077_2002-03-20_final
2002-09-28 11:33:34	ga_ls7e_ard_3-0-0_114077_2002-09-28_final
2004-01-21 11:34:50	ga_ls7e_ard_3-0-0_114077_2004-01-21_final
2004-12-22 11:34:42	ga_ls7e_ard_3-0-0_114076_2004-12-22_final
2005-08-03 11:35:13	ga_ls7e_ard_3-0-0_114077_2005-08-03_final
2005-11-16 11:31:56	ga_ls7e_ard_3-0-0_113084_2005-11-16_final
2008-11-15 11:35:46	ga_ls7e_ard_3-0-0_114079_2008-11-15_final
2008-11-15 11:36:34	ga_ls7e_ard_3-0-0_114081_2008-11-15_final
2008-12-01 11:35:34	ga_ls7e_ard_3-0-0_114078_2008-12-01_final
2010-02-15 11:34:21	ga_ls7e_ard_3-0-0_113084_2010-02-15_final
2010-08-08 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-08-08_final
2011-08-04 11:38:52	ga_ls7e_ard_3-0-0_114076_2011-08-04_final
2012-06-03 11:40:12	ga_ls7e_ard_3-0-0_114077_2012-06-03_final
2012-09-14 11:47:26	ga_ls7e_ard_3-1-0_115077_2012-09-14_final
2013-08-02 11:36:53	ga_ls7e_ard_3-0-0_113082_2013-08-02_final
2014-02-01 11:41:54	ga_ls7e_ard_3-0-0_114075_2014-02-01_final
2014-07-27 11:44:14	ga_ls7e_ard_3-0-0_114079_2014-07-27_final
2015-09-09 11:41:32	ga_ls7e_ard_3-0-0_113082_2015-09-09_final
2015-11-10 11:52:37	ga_ls7e_ard_3-1-0_115077_2015-11-10_final
2016-03-10 11:48:40	ga_ls7e_ard_3-0-0_114079_2016-03-10_final
2016-03-26 11:48:22	ga_ls7e_ard_3-0-0_114078_2016-03-26_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2017-05-16 11:47:55	ga_ls7e_ard_3-0-0_114076_2017-05-16_final
2017-08-13 11:45:02	ga_ls7e_ard_3-0-0_113084_2017-08-13_final
2017-09-21 11:48:48	ga_ls7e_ard_3-0-0_114078_2017-09-21_final
2018-01-27 11:48:24	ga_ls7e_ard_3-0-0_114079_2018-01-27_final
2019-10-06 11:27:25	ga_ls7e_ard_3-1-0_113084_2019-10-06_final
2020-03-21 11:22:10	ga_ls7e_ard_3-1-0_114076_2020-03-21_final
2020-07-11 11:16:21	ga_ls7e_ard_3-1-0_114078_2020-07-11_final
2020-10-06 09:37:17	ga_ls7e_ard_3-2-0_099076_2020-10-06_final
2020-11-22 08:52:04	ga_ls7e_ard_3-1-0_092079_2020-11-21_final
2020-12-06 09:02:13	ga_ls7e_ard_3-1-0_094076_2020-12-05_final
2020-12-20 09:12:19	ga_ls7e_ard_3-1-0_096073_2020-12-19_final
2020-12-20 10:52:47	ga_ls7e_ard_3-1-0_112077_2020-12-20_final
2020-12-23 09:45:23	ga_ls7e_ard_3-1-0_101079_2020-12-23_final
2020-12-27 09:21:35	ga_ls7e_ard_3-1-0_097082_2020-12-26_final
2021-01-31 09:46:49	ga_ls7e_ard_3-2-0_102074_2021-01-31_final
2021-02-20 11:00:41	ga_ls7e_ard_3-2-0_114077_2021-02-20_final
2021-02-26 10:22:44	ga_ls7e_ard_3-2-0_108076_2021-02-26_final
2021-03-01 09:14:56	ga_ls7e_ard_3-2-0_097077_2021-02-28_final
2021-03-05 10:29:10	ga_ls7e_ard_3-2-0_109078_2021-03-05_final
2021-03-10 09:08:26	ga_ls7e_ard_3-2-0_096078_2021-03-09_final
2021-03-24 09:22:29	ga_ls7e_ard_3-2-0_098085_2021-03-23_final
2021-04-24 10:12:43	ga_ls7e_ard_3-2-0_107078_2021-04-24_final
2021-04-26 10:00:35	ga_ls7e_ard_3-2-0_105079_2021-04-26_final
2021-05-06 08:56:22	ga_ls7e_ard_3-2-0_095075_2021-05-05_final
2021-05-08 08:45:02	ga_ls7e_ard_3-2-0_093078_2021-05-07_final
2021-05-08 10:24:43	ga_ls7e_ard_3-2-0_109080_2021-05-08_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-05-19 08:27:34	ga_ls7e_ard_3-2-0_090083_2021-05-18_final
2021-05-31 08:50:03	ga_ls7e_ard_3-2-0_094080_2021-05-30_final
2021-06-05 09:04:35	ga_ls7e_ard_3-2-0_097071_2021-06-04_final
2021-06-09 10:20:49	ga_ls7e_ard_3-2-0_109077_2021-06-09_final
2021-06-10 09:24:19	ga_ls7e_ard_3-2-0_100075_2021-06-09_final
2021-06-25 08:42:13	ga_ls7e_ard_3-2-0_093081_2021-06-24_final
2021-06-27 08:30:06	ga_ls7e_ard_3-2-0_091082_2021-06-26_final
2021-06-28 09:12:28	ga_ls7e_ard_3-2-0_098080_2021-06-27_final
2021-07-25 08:49:14	ga_ls7e_ard_3-2-0_095074_2021-07-24_final
2021-07-25 08:52:50	ga_ls7e_ard_3-2-0_095083_2021-07-24_final
2021-08-01 10:34:29	ga_ls7e_ard_3-2-0_112076_2021-08-01_final
2021-08-06 09:12:30	ga_ls7e_ard_3-2-0_099073_2021-08-05_final
2021-08-12 10:16:58	ga_ls7e_ard_3-2-0_109081_2021-08-12_final
2021-08-19 10:20:55	ga_ls7e_ard_3-2-0_110077_2021-08-19_final
2021-08-24 10:39:26	ga_ls7e_ard_3-2-0_113078_2021-08-24_final
2021-09-01 09:46:55	ga_ls7e_ard_3-2-0_105072_2021-09-01_final
2021-09-02 10:32:29	ga_ls7e_ard_3-2-0_112078_2021-09-02_final
2021-09-19 09:33:22	ga_ls7e_ard_3-2-0_103073_2021-09-19_final
2021-09-23 09:08:41	ga_ls7e_ard_3-2-0_099074_2021-09-22_final
2021-09-27 08:44:00	ga_ls7e_ard_3-2-0_095075_2021-09-26_final
2021-10-01 09:59:00	ga_ls7e_ard_3-2-0_107078_2021-10-01_final
2021-10-04 10:28:27	ga_ls7e_ard_3-2-0_112075_2021-10-04_final
2021-10-13 10:22:40	ga_ls7e_ard_3-2-0_111078_2021-10-13_final
2021-10-15 08:31:39	ga_ls7e_ard_3-2-0_093079_2021-10-14_final
2021-10-19 08:08:34	ga_ls7e_ard_3-2-0_089084_2021-10-18_final
2021-10-20 10:28:37	ga_ls7e_ard_3-2-0_112079_2021-10-20_final
2021-10-22 08:36:48	ga_ls7e_ard_3-2-0_094078_2021-10-21_final
2021-11-05 08:49:51	ga_ls7e_ard_3-2-0_096083_2021-11-04_final
2021-11-29 09:34:59	ga_ls7e_ard_3-2-1_104078_2021-11-29_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-09 08:33:27	ga_ls7e_ard_3-2-1_094081_2021-12-08_final
2021-12-17 09:20:55	ga_ls7e_ard_3-2-1_102078_2021-12-16_final
2021-12-23 10:21:44	ga_ls7e_ard_3-2-1_112077_2021-12-23_final
2021-12-25 08:31:30	ga_ls7e_ard_3-2-1_094080_2021-12-24_final
2022-01-02 09:18:56	ga_ls7e_ard_3-2-1_102077_2022-01-01_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-08 08:42:04	ga_ls7e_ard_3-2-1_096079_2022-01-07_final
2022-02-24 09:33:28	ga_ls7e_ard_3-2-1_105080_2022-02-24_final
2022-03-02 08:53:25	ga_ls7e_ard_3-2-1_099074_2022-03-01_final
2022-03-03 08:00:30	ga_ls7e_ard_3-2-1_090081_2022-03-02_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-29 08:31:27	ga_ls7e_ard_3-2-1_096072_2022-03-28_final
2022-04-03 08:50:41	ga_ls7e_ard_3-2-1_099075_2022-04-02_final
2022-04-04 07:58:10	ga_ls7e_ard_3-2-1_090083_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years