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
2006-06-18 09:17:15	ga_ls7e_ard_3-1-0_091086_2006-06-17_final
2006-06-18 09:17:39	ga_ls7e_ard_3-0-0_091087_2006-06-17_final
2006-06-20 09:04:53	ga_ls7e_ard_3-0-0_089086_2006-06-19_final
2006-07-25 09:35:30	ga_ls7e_ard_3-0-0_094086_2006-07-25_final
2006-07-25 09:35:54	ga_ls7e_ard_3-0-0_094087_2006-07-25_final
2006-08-07 09:04:36	ga_ls7e_ard_3-0-0_089086_2006-08-06_final
2006-08-08 09:47:51	ga_ls7e_ard_3-1-0_096086_2006-08-08_final
2006-09-06 09:16:52	ga_ls7e_ard_3-1-0_091086_2006-09-05_final
2006-09-06 09:17:16	ga_ls7e_ard_3-0-0_091087_2006-09-05_final
2006-11-18 09:11:03	ga_ls7e_ard_3-0-0_090086_2006-11-17_final
2006-12-07 09:42:31	ga_ls7e_ard_3-0-0_095087_2006-12-07_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-01-14 09:05:07	ga_ls7e_ard_3-0-0_089086_2007-01-13_final
2007-01-15 09:48:23	ga_ls7e_ard_3-1-0_096086_2007-01-15_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-02-02 09:36:09	ga_ls7e_ard_3-0-0_094086_2007-02-02_final
2007-02-02 09:36:33	ga_ls7e_ard_3-0-0_094087_2007-02-02_final
2007-02-04 09:23:49	ga_ls7e_ard_3-0-0_092086_2007-02-03_final
2007-02-04 09:24:12	ga_ls7e_ard_3-0-0_092087_2007-02-03_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2012-06-25 09:28:20	ga_ls7e_ard_3-0-0_092087_2012-06-24_final
2012-08-12 09:28:57	ga_ls7e_ard_3-0-0_092087_2012-08-11_final
2012-08-21 09:22:52	ga_ls7e_ard_3-0-0_091087_2012-08-20_final
2012-08-28 09:29:06	ga_ls7e_ard_3-0-0_092087_2012-08-27_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2012-10-24 09:23:29	ga_ls7e_ard_3-0-0_091087_2012-10-23_final
2012-11-14 09:42:09	ga_ls7e_ard_3-0-0_094087_2012-11-14_final
2012-11-21 09:48:22	ga_ls7e_ard_3-0-0_095087_2012-11-21_final
2012-11-25 09:23:40	ga_ls7e_ard_3-0-0_091087_2012-11-24_final
2012-12-09 09:36:03	ga_ls7e_ard_3-0-0_093087_2012-12-09_final
2012-12-11 09:23:43	ga_ls7e_ard_3-0-0_091087_2012-12-10_final
2013-08-06 09:35:17	ga_ls7e_ard_3-0-0_093087_2013-08-06_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2013-09-09 09:23:15	ga_ls7e_ard_3-0-0_091087_2013-09-08_final
2013-09-23 09:35:44	ga_ls7e_ard_3-1-0_093087_2013-09-23_final
2013-09-25 09:23:24	ga_ls7e_ard_3-0-0_091087_2013-09-24_final
2013-10-09 09:35:58	ga_ls7e_ard_3-1-0_093087_2013-10-09_final
2013-10-11 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-10-10_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-08-27 09:25:16	ga_ls7e_ard_3-0-0_091087_2014-08-26_final
2016-06-11 09:42:34	ga_ls7e_ard_3-0-0_093087_2016-06-11_final
2016-06-13 09:30:13	ga_ls7e_ard_3-0-0_091087_2016-06-13_final
2016-06-18 09:48:46	ga_ls7e_ard_3-0-0_094087_2016-06-18_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2016-06-29 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-06-29_final
2016-08-05 09:48:50	ga_ls7e_ard_3-0-0_094087_2016-08-05_final
2016-08-07 09:36:28	ga_ls7e_ard_3-0-0_092087_2016-08-07_final
2016-08-28 09:55:04	ga_ls7e_ard_3-0-0_095087_2016-08-28_final
2016-09-06 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-09-06_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-07 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-01-06_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-02-04 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-04_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2018-10-12 09:55:27	ga_ls7e_ard_3-1-0_096086_2018-10-12_final
2018-10-23 09:37:03	ga_ls7e_ard_3-0-0_093087_2018-10-23_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-10-28 09:55:05	ga_ls7e_ard_3-1-0_096086_2018-10-28_final
2018-10-30 09:42:41	ga_ls7e_ard_3-0-0_094086_2018-10-30_final
2018-10-30 09:43:05	ga_ls7e_ard_3-0-0_094087_2018-10-30_final
2018-11-08 09:36:42	ga_ls7e_ard_3-1-0_093087_2018-11-08_final
2018-12-10 09:35:30	ga_ls7e_ard_3-0-0_093086_2018-12-10_final
2018-12-10 09:35:54	ga_ls7e_ard_3-1-0_093087_2018-12-10_final
2018-12-12 09:23:05	ga_ls7e_ard_3-1-0_091086_2018-12-11_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-17 09:41:29	ga_ls7e_ard_3-0-0_094086_2018-12-17_final
2018-12-26 09:35:03	ga_ls7e_ard_3-0-0_093086_2018-12-26_final
2018-12-26 09:35:26	ga_ls7e_ard_3-0-0_093087_2018-12-26_final
2019-01-13 09:22:32	ga_ls7e_ard_3-0-0_091087_2019-01-12_final
2019-01-22 09:15:39	ga_ls7e_ard_3-0-0_090086_2019-01-21_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
2019-01-31 09:09:11	ga_ls7e_ard_3-0-0_089086_2019-01-30_final
2019-02-01 09:52:25	ga_ls7e_ard_3-1-0_096086_2019-02-01_final
2019-02-03 09:40:00	ga_ls7e_ard_3-0-0_094086_2019-02-03_final
2019-02-03 09:40:24	ga_ls7e_ard_3-0-0_094087_2019-02-03_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-02-23 09:14:41	ga_ls7e_ard_3-1-0_090086_2019-02-22_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-16 09:32:33	ga_ls7e_ard_3-1-0_093086_2019-03-16_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-18 09:20:31	ga_ls7e_ard_3-1-0_091087_2019-03-17_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-04-03 09:19:59	ga_ls7e_ard_3-0-0_091087_2019-04-02_final
2019-04-05 09:07:09	ga_ls7e_ard_3-0-0_089086_2019-04-04_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-04-08 09:38:21	ga_ls7e_ard_3-0-0_094087_2019-04-08_final
2019-04-10 09:25:55	ga_ls7e_ard_3-0-0_092087_2019-04-09_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2019-05-01 09:43:41	ga_ls7e_ard_3-0-0_095087_2019-05-01_final
2019-05-03 09:31:15	ga_ls7e_ard_3-0-0_093087_2019-05-03_final
2019-05-05 09:18:25	ga_ls7e_ard_3-1-0_091086_2019-05-04_final
2019-05-05 09:18:48	ga_ls7e_ard_3-0-0_091087_2019-05-04_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_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