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
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2008-03-15 09:42:31	ga_ls7e_ard_3-0-0_095087_2008-03-15_final
2008-03-17 09:30:10	ga_ls7e_ard_3-1-0_093087_2008-03-17_final
2008-04-20 09:17:47	ga_ls7e_ard_3-0-0_091087_2008-04-19_final
2011-10-04 09:33:18	ga_ls7e_ard_3-1-0_093087_2011-10-04_final
2011-10-13 09:27:05	ga_ls7e_ard_3-0-0_092087_2011-10-12_final
2011-10-18 09:45:41	ga_ls7e_ard_3-0-0_095087_2011-10-18_final
2011-10-20 09:33:21	ga_ls7e_ard_3-1-0_093087_2011-10-20_final
2011-10-22 09:21:00	ga_ls7e_ard_3-0-0_091087_2011-10-21_final
2011-11-21 09:33:41	ga_ls7e_ard_3-1-0_093087_2011-11-21_final
2011-12-05 09:46:09	ga_ls7e_ard_3-0-0_095087_2011-12-05_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2011-12-09 09:21:27	ga_ls7e_ard_3-0-0_091087_2011-12-08_final
2011-12-30 09:40:12	ga_ls7e_ard_3-0-0_094087_2011-12-30_final
2012-01-06 09:46:25	ga_ls7e_ard_3-0-0_095087_2012-01-06_final
2012-01-22 09:46:23	ga_ls7e_ard_3-0-0_095087_2012-01-22_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-01-26 09:21:40	ga_ls7e_ard_3-0-0_091087_2012-01-25_final
2012-02-18 09:27:59	ga_ls7e_ard_3-0-0_092087_2012-02-17_final
2012-02-23 09:46:32	ga_ls7e_ard_3-0-0_095087_2012-02-23_final
2012-03-14 09:21:47	ga_ls7e_ard_3-0-0_091087_2012-03-13_final
2012-03-19 09:40:20	ga_ls7e_ard_3-0-0_094087_2012-03-19_final
2012-04-15 09:21:43	ga_ls7e_ard_3-0-0_091087_2012-04-14_final
2012-04-20 09:40:21	ga_ls7e_ard_3-0-0_094087_2012-04-20_final
2012-04-29 09:34:26	ga_ls7e_ard_3-1-0_093087_2012-04-29_final
2012-05-01 09:22:07	ga_ls7e_ard_3-0-0_091087_2012-04-30_final
2012-05-15 09:34:46	ga_ls7e_ard_3-0-0_093087_2012-05-15_final
2012-05-17 09:22:24	ga_ls7e_ard_3-0-0_091087_2012-05-16_final
2015-06-23 09:52:00	ga_ls7e_ard_3-0-0_095087_2015-06-23_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-07-27 09:39:47	ga_ls7e_ard_3-1-0_093087_2015-07-27_final
2015-07-29 09:27:25	ga_ls7e_ard_3-0-0_091087_2015-07-28_final
2015-09-11 09:52:18	ga_ls7e_ard_3-0-0_095087_2015-09-11_final
2015-09-13 09:39:57	ga_ls7e_ard_3-1-0_093087_2015-09-13_final
2015-09-27 09:52:22	ga_ls7e_ard_3-0-0_095087_2015-09-27_final
2015-10-15 09:40:14	ga_ls7e_ard_3-1-0_093087_2015-10-15_final
2015-10-17 09:27:54	ga_ls7e_ard_3-0-0_091087_2015-10-16_final
2015-10-24 09:34:12	ga_ls7e_ard_3-0-0_092087_2015-10-24_final
2015-12-16 09:53:35	ga_ls7e_ard_3-0-0_095087_2015-12-16_final
2015-12-18 09:41:15	ga_ls7e_ard_3-0-0_093087_2015-12-18_final
2015-12-20 09:28:55	ga_ls7e_ard_3-0-0_091087_2015-12-19_final
2016-02-22 09:29:32	ga_ls7e_ard_3-0-0_091087_2016-02-21_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-04-01 09:36:01	ga_ls7e_ard_3-0-0_092087_2016-04-01_final
2016-05-10 09:42:25	ga_ls7e_ard_3-1-0_093087_2016-05-10_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-11 09:44:51	ga_ls7e_ard_3-0-0_094087_2018-08-11_final
2019-06-22 09:16:38	ga_ls7e_ard_3-1-0_091086_2019-06-21_final
2019-06-22 09:17:02	ga_ls7e_ard_3-0-0_091087_2019-06-21_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-07-06 09:28:28	ga_ls7e_ard_3-0-0_093086_2019-07-05_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-07-13 09:34:46	ga_ls7e_ard_3-0-0_094087_2019-07-13_final
2019-07-26 09:02:57	ga_ls7e_ard_3-0-0_089086_2019-07-25_final
2019-07-29 09:34:08	ga_ls7e_ard_3-0-0_094087_2019-07-29_final
2019-07-31 09:21:17	ga_ls7e_ard_3-0-0_092086_2019-07-30_final
2019-07-31 09:21:41	ga_ls7e_ard_3-0-0_092087_2019-07-30_final
2019-08-05 09:39:38	ga_ls7e_ard_3-0-0_095086_2019-08-05_final
2019-08-05 09:40:02	ga_ls7e_ard_3-0-0_095087_2019-08-05_final
2019-08-07 09:27:11	ga_ls7e_ard_3-0-0_093086_2019-08-06_final
2019-08-09 09:15:08	ga_ls7e_ard_3-0-0_091087_2019-08-08_final
2019-08-11 09:02:18	ga_ls7e_ard_3-0-0_089086_2019-08-10_final
2019-08-12 09:45:31	ga_ls7e_ard_3-1-0_096086_2019-08-12_final
2019-08-14 09:33:28	ga_ls7e_ard_3-0-0_094087_2019-08-14_final
2019-08-16 09:21:02	ga_ls7e_ard_3-0-0_092087_2019-08-15_final
2019-09-17 09:19:15	ga_ls7e_ard_3-1-0_092086_2019-09-16_final
2019-09-17 09:19:39	ga_ls7e_ard_3-1-0_092087_2019-09-16_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-10-01 09:31:24	ga_ls7e_ard_3-1-0_094087_2019-10-01_final
2019-10-03 09:18:34	ga_ls7e_ard_3-1-0_092086_2019-10-02_final
2019-10-03 09:18:58	ga_ls7e_ard_3-1-0_092087_2019-10-02_final
2019-10-08 09:36:54	ga_ls7e_ard_3-1-0_095086_2019-10-08_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2019-10-12 09:12:25	ga_ls7e_ard_3-1-0_091087_2019-10-11_final
2019-10-19 09:18:18	ga_ls7e_ard_3-1-0_092087_2019-10-18_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_final
2019-10-28 09:11:19	ga_ls7e_ard_3-1-0_091086_2019-10-27_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-10-31 09:42:05	ga_ls7e_ard_3-1-0_096086_2019-10-31_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-29 09:09:51	ga_ls7e_ard_3-1-0_091086_2019-11-28_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
2019-12-11 09:33:58	ga_ls7e_ard_3-1-0_095086_2019-12-11_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-15 09:09:03	ga_ls7e_ard_3-1-0_091086_2019-12-14_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 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-20 09:27:44	ga_ls7e_ard_3-1-0_094087_2019-12-19_final
2019-12-22 09:14:52	ga_ls7e_ard_3-1-0_092086_2019-12-21_final
2019-12-22 09:15:16	ga_ls7e_ard_3-1-0_092087_2019-12-21_final
2019-12-29 09:20:41	ga_ls7e_ard_3-1-0_093086_2019-12-28_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_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