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
2004-02-12 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-02-11_final
2004-02-12 09:22:58	ga_ls7e_ard_3-0-0_092087_2004-02-11_final
2004-02-14 09:10:12	ga_ls7e_ard_3-0-0_090086_2004-02-13_final
2004-02-17 09:41:30	ga_ls7e_ard_3-0-0_095087_2004-02-17_final
2004-04-25 09:16:24	ga_ls7e_ard_3-1-0_091086_2004-04-24_final
2004-04-27 09:04:03	ga_ls7e_ard_3-0-0_089086_2004-04-26_final
2004-06-03 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-06-02_final
2004-06-03 09:22:58	ga_ls7e_ard_3-0-0_092087_2004-06-02_final
2004-06-05 09:10:12	ga_ls7e_ard_3-0-0_090086_2004-06-04_final
2004-06-19 09:22:28	ga_ls7e_ard_3-0-0_092086_2004-06-18_final
2004-06-19 09:22:52	ga_ls7e_ard_3-0-0_092087_2004-06-18_final
2004-09-09 09:09:46	ga_ls7e_ard_3-0-0_090086_2004-09-08_final
2004-09-12 09:40:39	ga_ls7e_ard_3-0-0_095086_2004-09-12_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-09-16 09:15:54	ga_ls7e_ard_3-1-0_091086_2004-09-15_final
2004-09-18 09:03:32	ga_ls7e_ard_3-0-0_089086_2004-09-17_final
2004-09-19 09:46:48	ga_ls7e_ard_3-1-0_096086_2004-09-19_final
2004-09-21 09:34:26	ga_ls7e_ard_3-0-0_094086_2004-09-21_final
2004-09-21 09:34:50	ga_ls7e_ard_3-0-0_094087_2004-09-21_final
2004-10-04 09:03:28	ga_ls7e_ard_3-0-0_089086_2004-10-03_final
2004-10-05 09:46:43	ga_ls7e_ard_3-1-0_096086_2004-10-05_final
2004-11-01 09:28:53	ga_ls7e_ard_3-1-0_093087_2004-10-31_final
2004-11-03 09:16:09	ga_ls7e_ard_3-1-0_091086_2004-11-02_final
2005-02-26 09:47:50	ga_ls7e_ard_3-1-0_096086_2005-02-26_final
2012-12-25 09:36:11	ga_ls7e_ard_3-1-0_093087_2012-12-25_final
2013-01-24 09:48:11	ga_ls7e_ard_3-0-0_095086_2013-01-24_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-01-26 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-01-26_final
2013-01-28 09:23:28	ga_ls7e_ard_3-1-0_091086_2013-01-27_final
2013-02-09 09:48:36	ga_ls7e_ard_3-0-0_095087_2013-02-09_final
2013-02-11 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-02-11_final
2013-02-18 09:42:24	ga_ls7e_ard_3-0-0_094087_2013-02-18_final
2013-02-20 09:30:02	ga_ls7e_ard_3-1-0_092087_2013-02-20_final
2013-02-25 09:48:32	ga_ls7e_ard_3-0-0_095087_2013-02-25_final
2013-05-07 09:54:03	ga_ls7e_ard_3-1-0_096086_2013-05-07_final
2013-05-09 09:41:41	ga_ls7e_ard_3-0-0_094086_2013-05-09_final
2013-05-09 09:42:05	ga_ls7e_ard_3-0-0_094087_2013-05-09_final
2013-05-11 09:29:43	ga_ls7e_ard_3-0-0_092087_2013-05-10_final
2013-06-17 09:48:02	ga_ls7e_ard_3-0-0_095087_2013-06-17_final
2013-06-19 09:35:40	ga_ls7e_ard_3-1-0_093087_2013-06-19_final
2013-06-21 09:22:54	ga_ls7e_ard_3-1-0_091086_2013-06-20_final
2013-06-21 09:23:18	ga_ls7e_ard_3-0-0_091087_2013-06-20_final
2013-07-19 09:47:45	ga_ls7e_ard_3-0-0_095087_2013-07-19_final
2013-07-21 09:35:23	ga_ls7e_ard_3-1-0_093087_2013-07-21_final
2014-04-05 09:24:39	ga_ls7e_ard_3-0-0_091087_2014-04-04_final
2014-04-21 09:24:50	ga_ls7e_ard_3-0-0_091087_2014-04-20_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2014-06-22 09:37:28	ga_ls7e_ard_3-1-0_093087_2014-06-22_final
2014-07-01 09:31:21	ga_ls7e_ard_3-0-0_092087_2014-07-01_final
2014-07-17 09:31:22	ga_ls7e_ard_3-0-0_092087_2014-07-17_final
2014-08-29 09:12:32	ga_ls7e_ard_3-0-0_089086_2014-08-28_final
2014-08-30 09:55:48	ga_ls7e_ard_3-1-0_096086_2014-08-30_final
2014-09-26 09:37:24	ga_ls7e_ard_3-0-0_093086_2014-09-26_final
2014-09-26 09:37:48	ga_ls7e_ard_3-0-0_093087_2014-09-26_final
2014-10-14 09:25:38	ga_ls7e_ard_3-0-0_091087_2014-10-13_final
2014-10-30 09:25:48	ga_ls7e_ard_3-0-0_091087_2014-10-29_final
2015-04-08 09:26:50	ga_ls7e_ard_3-0-0_091087_2015-04-07_final
2015-05-17 09:33:18	ga_ls7e_ard_3-0-0_092087_2015-05-17_final
2017-12-18 09:23:26	ga_ls7e_ard_3-0-0_090086_2017-12-17_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-01-10 09:29:43	ga_ls7e_ard_3-0-0_091087_2018-01-09_final
2018-04-07 09:34:44	ga_ls7e_ard_3-0-0_092087_2018-04-07_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_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 09:33:45	ga_ls7e_ard_3-0-0_092086_2018-05-09_final
2018-05-09 09:34:09	ga_ls7e_ard_3-0-0_092087_2018-05-09_final
2018-05-11 09:21:22	ga_ls7e_ard_3-0-0_090086_2018-05-10_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-07-03 09:38:59	ga_ls7e_ard_3-0-0_093086_2018-07-03_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-08-20 09:38:06	ga_ls7e_ard_3-0-0_093086_2018-08-20_final
2018-08-20 09:38:30	ga_ls7e_ard_3-1-0_093087_2018-08-20_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_final
2018-08-29 09:32:08	ga_ls7e_ard_3-0-0_092087_2018-08-29_final
2019-05-07 09:05:58	ga_ls7e_ard_3-0-0_089086_2019-05-06_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-03 08:43:48	ga_ls7e_ard_3-2-0_091087_2021-02-02_final
2021-02-05 08:30:54	ga_ls7e_ard_3-2-0_089086_2021-02-04_final
2021-02-06 09:14:05	ga_ls7e_ard_3-2-0_096086_2021-02-05_final
2021-02-08 09:01:34	ga_ls7e_ard_3-2-0_094086_2021-02-07_final
2021-02-10 08:49:04	ga_ls7e_ard_3-2-0_092086_2021-02-09_final
2021-02-10 08:49:28	ga_ls7e_ard_3-2-0_092087_2021-02-09_final
2021-02-24 09:00:22	ga_ls7e_ard_3-2-0_094086_2021-02-23_final
2021-02-26 08:47:51	ga_ls7e_ard_3-2-0_092086_2021-02-25_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_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