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
2003-03-27 09:29:16	ga_ls7e_ard_3-1-0_094073_2003-03-26_final
2003-11-15 09:28:36	ga_ls7e_ard_3-1-0_093087_2003-11-14_final
2004-01-06 09:01:50	ga_ls7e_ard_3-1-0_089081_2004-01-05_final
2004-02-27 10:13:48	ga_ls7e_ard_3-1-0_101075_2004-02-27_final
2004-07-23 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-07-22_final
2004-08-05 10:14:41	ga_ls7e_ard_3-1-0_101078_2004-08-05_final
2005-02-25 09:02:34	ga_ls7e_ard_3-1-0_089081_2005-02-24_final
2005-04-14 09:02:29	ga_ls7e_ard_3-1-0_089081_2005-04-13_final
2005-06-04 09:30:09	ga_ls7e_ard_3-1-0_094073_2005-06-04_final
2006-01-14 11:12:34	ga_ls7e_ard_3-1-0_110081_2006-01-14_final
2006-01-28 11:23:26	ga_ls7e_ard_3-1-0_112077_2006-01-28_final
2006-04-08 09:10:44	ga_ls7e_ard_3-1-0_090085_2006-04-07_final
2006-04-16 09:58:08	ga_ls7e_ard_3-1-0_098080_2006-04-16_final
2007-06-10 09:28:29	ga_ls7e_ard_3-1-0_094067_2007-06-09_final
2007-08-17 09:10:43	ga_ls7e_ard_3-1-0_090085_2007-08-16_final
2007-08-24 10:50:09	ga_ls7e_ard_3-1-0_107071_2007-08-24_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2009-05-30 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-29_final
2009-06-15 09:28:39	ga_ls7e_ard_3-1-0_094067_2009-06-14_final
2012-01-10 09:21:18	ga_ls7e_ard_3-1-0_091086_2012-01-09_final
2012-01-19 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-19_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2012-04-08 10:49:39	ga_ls7e_ard_3-1-0_106075_2012-04-08_final
2012-07-20 09:22:06	ga_ls7e_ard_3-1-0_091086_2012-07-19_final
2013-06-30 10:51:07	ga_ls7e_ard_3-1-0_106075_2013-06-30_final
2013-10-17 10:20:42	ga_ls7e_ard_3-1-0_101075_2013-10-17_final
2014-01-04 09:34:40	ga_ls7e_ard_3-1-0_094067_2014-01-04_final
2014-12-19 09:11:26	ga_ls7e_ard_3-1-0_089081_2014-12-18_final
2015-01-11 10:54:09	ga_ls7e_ard_3-1-0_106075_2015-01-11_final
2015-03-25 09:11:57	ga_ls7e_ard_3-1-0_089081_2015-03-24_final
2015-05-06 09:46:08	ga_ls7e_ard_3-1-0_095073_2015-05-06_final
2015-06-27 09:26:53	ga_ls7e_ard_3-1-0_091086_2015-06-26_final
2015-08-26 09:46:39	ga_ls7e_ard_3-1-0_095073_2015-08-26_final
2016-10-03 09:30:02	ga_ls7e_ard_3-1-0_091086_2016-10-03_final
2017-07-23 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-23_final
2019-03-09 09:26:12	ga_ls7e_ard_3-1-0_092085_2019-03-08_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-19 09:59:46	ga_ls7e_ard_3-1-0_098077_2019-03-19_final
2019-03-23 11:11:24	ga_ls7e_ard_3-1-0_110071_2019-03-23_final
2019-03-27 10:48:32	ga_ls7e_ard_3-1-0_106076_2019-03-27_final
2019-04-15 11:21:10	ga_ls7e_ard_3-1-0_111082_2019-04-15_final
2019-08-27 08:59:38	ga_ls7e_ard_3-1-0_089081_2019-08-26_final
2019-09-03 09:03:55	ga_ls7e_ard_3-1-0_090077_2019-09-02_final
2019-09-17 10:52:08	ga_ls7e_ard_3-1-0_108071_2019-09-17_final
2019-09-27 09:52:18	ga_ls7e_ard_3-1-0_098077_2019-09-27_final
2019-09-27 09:55:29	ga_ls7e_ard_3-1-0_098085_2019-09-27_final
2019-10-04 11:36:40	ga_ls7e_ard_3-1-0_115076_2019-10-04_final
2019-10-19 10:52:47	ga_ls7e_ard_3-1-0_108076_2019-10-19_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2019-11-25 11:09:15	ga_ls7e_ard_3-1-0_111075_2019-11-25_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2020-01-02 10:28:15	ga_ls7e_ard_3-1-0_105070_2020-01-02_final
2020-01-05 11:03:23	ga_ls7e_ard_3-1-0_110081_2020-01-05_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-17 09:48:14	ga_ls7e_ard_3-1-0_098080_2020-01-17_final
2020-02-08 09:09:39	ga_ls7e_ard_3-1-0_092079_2020-02-07_final
2020-02-08 10:45:44	ga_ls7e_ard_3-1-0_108072_2020-02-08_final
2020-02-11 09:38:24	ga_ls7e_ard_3-1-0_097074_2020-02-11_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-02-17 09:05:00	ga_ls7e_ard_3-1-0_091084_2020-02-16_final
2020-03-05 09:40:58	ga_ls7e_ard_3-1-0_098068_2020-03-05_final
2020-03-09 11:00:30	ga_ls7e_ard_3-1-0_110082_2020-03-09_final
2020-03-13 08:58:17	ga_ls7e_ard_3-1-0_090086_2020-03-12_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-03-18 10:50:14	ga_ls7e_ard_3-1-0_109073_2020-03-18_final
2020-03-21 11:23:22	ga_ls7e_ard_3-1-0_114079_2020-03-21_final
2020-03-25 09:20:44	ga_ls7e_ard_3-1-0_094082_2020-03-24_final
2020-04-08 09:31:30	ga_ls7e_ard_3-1-0_096080_2020-04-08_final
2021-03-31 11:02:35	ga_ls7e_ard_3-2-0_115074_2021-03-31_final
2021-04-25 10:55:30	ga_ls7e_ard_3-2-0_114077_2021-04-25_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-03 10:23:56	ga_ls7e_ard_3-2-0_110081_2021-08-03_final
2021-08-06 09:12:06	ga_ls7e_ard_3-2-0_099072_2021-08-05_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-01 08:11:37	ga_ls7e_ard_3-2-0_089081_2021-08-31_final
2021-09-03 09:37:34	ga_ls7e_ard_3-2-0_103080_2021-09-03_final
2021-09-22 10:05:11	ga_ls7e_ard_3-2-0_108076_2021-09-22_final
2021-09-28 09:27:34	ga_ls7e_ard_3-2-0_102076_2021-09-27_final
2021-10-11 08:53:56	ga_ls7e_ard_3-2-0_097072_2021-10-10_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-19 09:42:15	ga_ls7e_ard_3-2-0_105071_2021-10-19_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-12 10:32:39	ga_ls7e_ard_3-2-1_113079_2021-11-12_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-28 10:31:30	ga_ls7e_ard_3-2-1_113080_2021-11-28_final
2021-12-05 08:54:57	ga_ls7e_ard_3-2-1_098072_2021-12-04_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-21 08:53:25	ga_ls7e_ard_3-2-1_098072_2021-12-20_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_final
2022-03-27 08:45:59	ga_ls7e_ard_3-2-1_098077_2022-03-26_final
2022-03-31 09:58:10	ga_ls7e_ard_3-2-1_110073_2022-03-31_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