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
2002-03-08 09:35:08	ga_ls7e_ard_3-0-0_094087_2002-03-08_final
2002-03-10 09:22:46	ga_ls7e_ard_3-0-0_092087_2002-03-09_final
2002-03-24 09:35:01	ga_ls7e_ard_3-0-0_094087_2002-03-24_final
2002-04-18 09:28:48	ga_ls7e_ard_3-1-0_093087_2002-04-17_final
2002-06-07 09:16:15	ga_ls7e_ard_3-0-0_091087_2002-06-06_final
2002-07-14 09:34:35	ga_ls7e_ard_3-0-0_094087_2002-07-14_final
2002-07-16 09:22:12	ga_ls7e_ard_3-0-0_092087_2002-07-15_final
2002-07-23 09:28:17	ga_ls7e_ard_3-0-0_093087_2002-07-22_final
2002-07-25 09:15:55	ga_ls7e_ard_3-0-0_091087_2002-07-24_final
2006-04-24 09:11:06	ga_ls7e_ard_3-0-0_090086_2006-04-23_final
2006-05-15 09:29:42	ga_ls7e_ard_3-0-0_093086_2006-05-14_final
2006-05-17 09:17:44	ga_ls7e_ard_3-0-0_091087_2006-05-16_final
2006-05-31 09:29:41	ga_ls7e_ard_3-0-0_093086_2006-05-30_final
2006-05-31 09:30:05	ga_ls7e_ard_3-1-0_093087_2006-05-31_final
2006-09-22 09:16:46	ga_ls7e_ard_3-1-0_091086_2006-09-21_final
2006-09-22 09:17:10	ga_ls7e_ard_3-0-0_091087_2006-09-21_final
2006-11-09 09:17:31	ga_ls7e_ard_3-0-0_091087_2006-11-08_final
2007-10-02 09:23:35	ga_ls7e_ard_3-0-0_092087_2007-10-01_final
2007-10-09 09:29:44	ga_ls7e_ard_3-0-0_093087_2007-10-08_final
2007-10-11 09:17:24	ga_ls7e_ard_3-0-0_091087_2007-10-10_final
2007-10-16 09:36:00	ga_ls7e_ard_3-0-0_094087_2007-10-16_final
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2007-12-21 09:24:10	ga_ls7e_ard_3-0-0_092087_2007-12-20_final
2008-02-12 09:42:41	ga_ls7e_ard_3-0-0_095087_2008-02-12_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-03-08 09:36:22	ga_ls7e_ard_3-0-0_094087_2008-03-08_final
2008-03-24 09:36:21	ga_ls7e_ard_3-0-0_094087_2008-03-24_final
2008-03-26 09:24:00	ga_ls7e_ard_3-0-0_092087_2008-03-25_final
2008-04-18 09:30:09	ga_ls7e_ard_3-1-0_093087_2008-04-18_final
2008-05-18 09:42:22	ga_ls7e_ard_3-0-0_095087_2008-05-18_final
2008-05-22 09:17:37	ga_ls7e_ard_3-0-0_091087_2008-05-21_final
2008-05-27 09:36:07	ga_ls7e_ard_3-0-0_094087_2008-05-27_final
2008-06-21 09:29:42	ga_ls7e_ard_3-1-0_093087_2008-06-20_final
2008-10-20 09:22:36	ga_ls7e_ard_3-0-0_092087_2008-10-19_final
2008-10-29 09:16:34	ga_ls7e_ard_3-0-0_091087_2008-10-28_final
2009-01-06 09:35:51	ga_ls7e_ard_3-0-0_094087_2009-01-06_final
2009-01-08 09:23:30	ga_ls7e_ard_3-0-0_092087_2009-01-07_final
2009-01-24 09:23:35	ga_ls7e_ard_3-0-0_092087_2009-01-23_final
2009-02-14 09:42:17	ga_ls7e_ard_3-0-0_095087_2009-02-14_final
2009-02-16 09:29:57	ga_ls7e_ard_3-1-0_093087_2009-02-15_final
2009-02-18 09:17:36	ga_ls7e_ard_3-0-0_091087_2009-02-17_final
2009-03-11 09:36:20	ga_ls7e_ard_3-0-0_094087_2009-03-11_final
2009-03-13 09:23:59	ga_ls7e_ard_3-0-0_092087_2009-03-12_final
2009-03-29 09:24:06	ga_ls7e_ard_3-0-0_092087_2009-03-28_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-03-10 09:42:10	ga_ls7e_ard_3-0-0_093087_2017-03-10_final
2017-04-20 09:36:14	ga_ls7e_ard_3-0-0_092087_2017-04-20_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-04-29 09:30:06	ga_ls7e_ard_3-1-0_091087_2017-04-29_final
2017-05-13 09:42:31	ga_ls7e_ard_3-0-0_093087_2017-05-13_final
2017-05-20 09:48:43	ga_ls7e_ard_3-0-0_094087_2017-05-20_final
2017-05-22 09:36:21	ga_ls7e_ard_3-0-0_092087_2017-05-22_final
2017-05-27 09:54:55	ga_ls7e_ard_3-0-0_095087_2017-05-27_final
2017-05-29 09:42:34	ga_ls7e_ard_3-1-0_093087_2017-05-29_final
2017-05-31 09:30:13	ga_ls7e_ard_3-0-0_091087_2017-05-31_final
2017-06-07 09:36:26	ga_ls7e_ard_3-0-0_092087_2017-06-07_final
2017-06-30 09:42:41	ga_ls7e_ard_3-0-0_093087_2017-06-30_final
2017-07-02 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-07-02_final
2017-07-07 09:48:52	ga_ls7e_ard_3-0-0_094087_2017-07-07_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-09-20 09:30:14	ga_ls7e_ard_3-0-0_091087_2017-09-20_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-05-09 09:34:09	ga_ls7e_ard_3-0-0_092087_2018-05-09_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-10 09:33:39	ga_ls7e_ard_3-0-0_092087_2018-06-10_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_final
2018-07-12 09:33:01	ga_ls7e_ard_3-0-0_092087_2018-07-12_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-09-05 09:38:10	ga_ls7e_ard_3-0-0_093087_2018-09-05_final
2018-09-12 09:44:12	ga_ls7e_ard_3-0-0_094087_2018-09-12_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-19 09:50:13	ga_ls7e_ard_3-0-0_095087_2018-09-19_final
2018-09-21 09:37:49	ga_ls7e_ard_3-1-0_093087_2018-09-21_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-01-29 09:21:36	ga_ls7e_ard_3-1-0_091086_2019-01-28_final
2019-01-29 09:22:00	ga_ls7e_ard_3-0-0_091087_2019-01-28_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-10-28 09:11:19	ga_ls7e_ard_3-1-0_091086_2019-10-27_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-11-29 09:10:15	ga_ls7e_ard_3-1-0_091087_2019-11-28_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2019-12-04 09:28:08	ga_ls7e_ard_3-1-0_094086_2019-12-03_final
2019-12-06 09:15:41	ga_ls7e_ard_3-1-0_092086_2019-12-05_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2019-12-20 09:27:44	ga_ls7e_ard_3-1-0_094087_2019-12-19_final
2019-12-22 09:15:16	ga_ls7e_ard_3-1-0_092087_2019-12-21_final
2019-12-24 09:02:24	ga_ls7e_ard_3-1-0_090086_2019-12-23_final
2020-01-07 09:14:02	ga_ls7e_ard_3-1-0_092086_2020-01-06_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_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