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
2003-08-27 09:28:00	ga_ls7e_ard_3-1-0_093086_2003-08-26_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-03-12 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-03-12_final
2007-10-09 09:28:08	ga_ls7e_ard_3-1-0_093083_2007-10-08_final
2007-12-25 10:31:34	ga_ls7e_ard_3-1-0_104070_2007-12-25_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2008-03-14 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-14_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-10-01 09:29:03	ga_ls7e_ard_3-1-0_093079_2010-09-30_final
2011-05-29 09:30:02	ga_ls7e_ard_3-1-0_093078_2011-05-29_final
2012-01-24 09:32:25	ga_ls7e_ard_3-1-0_093083_2012-01-24_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-10-06 10:37:07	ga_ls7e_ard_3-1-0_104070_2013-10-06_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2017-12-20 10:43:32	ga_ls7e_ard_3-1-0_104070_2017-12-20_final
2019-09-26 10:49:09	ga_ls7e_ard_3-1-0_107080_2019-09-26_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-12 10:45:42	ga_ls7e_ard_3-1-0_107073_2019-10-12_final
2019-10-20 09:55:55	ga_ls7e_ard_3-1-0_099073_2019-10-20_final
2019-11-13 10:47:29	ga_ls7e_ard_3-1-0_107081_2019-11-13_final
2019-11-24 10:27:38	ga_ls7e_ard_3-1-0_104079_2019-11-24_final
2019-12-15 10:45:32	ga_ls7e_ard_3-1-0_107080_2019-12-15_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2019-12-31 10:45:30	ga_ls7e_ard_3-1-0_107082_2019-12-31_final
2020-02-01 10:44:18	ga_ls7e_ard_3-1-0_107083_2020-02-01_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-03-19 09:57:21	ga_ls7e_ard_3-1-0_100080_2020-03-19_final
2020-03-20 10:38:10	ga_ls7e_ard_3-1-0_107074_2020-03-20_final
2020-04-03 09:10:51	ga_ls7e_ard_3-1-0_093074_2020-04-02_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2020-08-10 09:46:22	ga_ls7e_ard_3-1-0_100074_2020-08-10_final
2020-08-12 09:31:53	ga_ls7e_ard_3-1-0_098069_2020-08-12_final
2020-08-13 08:40:35	ga_ls7e_ard_3-1-0_089080_2020-08-12_final
2020-08-13 10:16:40	ga_ls7e_ard_3-1-0_105073_2020-08-13_final
2020-08-18 10:34:30	ga_ls7e_ard_3-1-0_108072_2020-08-18_final
2020-08-18 10:36:05	ga_ls7e_ard_3-1-0_108076_2020-08-18_final
2020-08-21 11:08:48	ga_ls7e_ard_3-1-0_113081_2020-08-21_final
2020-08-23 09:13:50	ga_ls7e_ard_3-1-0_095072_2020-08-22_final
2020-08-28 11:12:32	ga_ls7e_ard_3-1-0_114076_2020-08-28_final
2020-08-28 11:12:55	ga_ls7e_ard_3-1-0_114077_2020-08-28_final
2020-08-29 08:39:33	ga_ls7e_ard_3-1-0_089080_2020-08-28_final
2020-08-29 10:14:27	ga_ls7e_ard_3-1-0_105070_2020-08-29_final
2020-08-29 10:14:51	ga_ls7e_ard_3-1-0_105071_2020-08-29_final
2020-09-03 10:32:16	ga_ls7e_ard_3-1-0_108069_2020-09-03_final
2020-09-12 08:52:12	ga_ls7e_ard_3-1-0_091083_2020-09-11_final
2020-09-15 09:23:17	ga_ls7e_ard_3-1-0_096084_2020-09-14_final
2020-09-15 11:02:10	ga_ls7e_ard_3-1-0_112084_2020-09-15_final
2020-09-17 09:10:24	ga_ls7e_ard_3-1-0_094083_2020-09-16_final
2020-09-19 10:32:24	ga_ls7e_ard_3-1-0_108072_2020-09-19_final
2020-09-19 10:36:23	ga_ls7e_ard_3-1-0_108082_2020-09-19_final
2020-09-19 10:36:47	ga_ls7e_ard_3-1-0_108083_2020-09-19_final
2020-09-20 09:38:18	ga_ls7e_ard_3-1-0_099076_2020-09-20_final
2020-09-21 08:45:49	ga_ls7e_ard_3-1-0_090084_2020-09-20_final
2020-09-24 09:16:31	ga_ls7e_ard_3-1-0_095084_2020-09-23_final
2020-09-24 10:48:37	ga_ls7e_ard_3-1-0_111067_2020-09-24_final
2020-09-28 08:51:09	ga_ls7e_ard_3-1-0_091083_2020-09-27_final
2020-10-01 09:20:16	ga_ls7e_ard_3-1-0_096079_2020-09-30_final
2020-10-04 09:49:22	ga_ls7e_ard_3-1-0_101075_2020-10-04_final
2020-10-05 08:54:53	ga_ls7e_ard_3-1-0_092078_2020-10-04_final
2020-10-05 10:33:46	ga_ls7e_ard_3-1-0_108078_2020-10-05_final
2020-10-12 09:00:13	ga_ls7e_ard_3-1-0_093077_2020-10-11_final
2020-10-17 09:16:02	ga_ls7e_ard_3-1-0_096071_2020-10-16_final
2020-10-17 09:19:14	ga_ls7e_ard_3-1-0_096079_2020-10-16_final
2021-02-25 09:38:22	ga_ls7e_ard_3-2-0_101073_2021-02-25_final
2021-02-26 08:46:39	ga_ls7e_ard_3-2-0_092083_2021-02-25_final
2021-02-27 09:29:26	ga_ls7e_ard_3-2-0_099082_2021-02-26_final
2021-03-01 09:15:20	ga_ls7e_ard_3-2-0_097078_2021-02-28_final
2021-03-05 08:53:29	ga_ls7e_ard_3-2-0_093086_2021-03-04_final
2021-03-07 08:40:10	ga_ls7e_ard_3-2-0_091084_2021-03-06_final
2021-03-07 10:17:03	ga_ls7e_ard_3-2-0_107079_2021-03-07_final
2021-12-19 09:08:46	ga_ls7e_ard_3-2-1_100079_2021-12-18_final
2021-12-23 10:21:20	ga_ls7e_ard_3-2-1_112076_2021-12-23_final
2021-12-29 08:06:46	ga_ls7e_ard_3-2-1_090081_2021-12-28_final
2021-12-30 08:48:44	ga_ls7e_ard_3-2-1_097078_2021-12-29_final
2022-01-01 10:17:03	ga_ls7e_ard_3-2-1_111083_2022-01-01_final
2022-01-06 08:52:37	ga_ls7e_ard_3-2-1_098074_2022-01-05_final
2022-01-12 08:16:34	ga_ls7e_ard_3-2-1_092078_2022-01-11_final
2022-01-14 08:05:13	ga_ls7e_ard_3-2-1_090081_2022-01-13_final
2022-01-14 09:43:42	ga_ls7e_ard_3-2-1_106080_2022-01-14_final
2022-01-15 08:46:23	ga_ls7e_ard_3-2-1_097076_2022-01-14_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-23 09:36:39	ga_ls7e_ard_3-2-1_105080_2022-01-23_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-09 08:41:20	ga_ls7e_ard_3-2-1_096085_2022-02-08_final
2022-02-11 10:05:39	ga_ls7e_ard_3-2-1_110080_2022-02-11_final
2022-02-12 09:07:32	ga_ls7e_ard_3-2-1_101074_2022-02-11_final
2022-02-18 08:33:02	ga_ls7e_ard_3-2-1_095082_2022-02-17_final
2022-02-22 08:09:08	ga_ls7e_ard_3-2-1_091085_2022-02-21_final
2022-02-26 09:20:55	ga_ls7e_ard_3-2-1_103080_2022-02-25_final
2022-03-01 08:12:39	ga_ls7e_ard_3-2-1_092080_2022-02-28_final
2022-03-10 09:42:04	ga_ls7e_ard_3-2-1_107074_2022-03-10_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years