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:

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First 100 results (query limit)

Time (local)	Label
2004-10-11 09:10:25	ga_ls7e_ard_3-0-0_090088_2004-10-10_final
2004-11-28 09:10:58	ga_ls7e_ard_3-0-0_090088_2004-11-27_final
2005-03-11 09:17:46	ga_ls7e_ard_3-0-0_091088_2005-03-10_final
2005-04-21 09:11:25	ga_ls7e_ard_3-0-0_090088_2005-04-20_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2006-06-02 09:17:43	ga_ls7e_ard_3-0-0_091087_2006-06-01_final
2006-06-02 09:18:07	ga_ls7e_ard_3-0-0_091088_2006-06-01_final
2006-06-11 09:11:54	ga_ls7e_ard_3-0-0_090088_2006-06-10_final
2006-08-28 09:23:29	ga_ls7e_ard_3-0-0_092087_2006-08-27_final
2006-09-29 09:23:41	ga_ls7e_ard_3-0-0_092088_2006-09-28_final
2006-10-15 09:23:43	ga_ls7e_ard_3-0-0_092088_2006-10-14_final
2006-11-16 09:24:11	ga_ls7e_ard_3-0-0_092088_2006-11-15_final
2006-12-04 09:12:00	ga_ls7e_ard_3-0-0_090088_2006-12-03_final
2006-12-18 09:24:26	ga_ls7e_ard_3-1-0_092088_2006-12-17_final
2007-01-05 09:12:06	ga_ls7e_ard_3-0-0_090088_2007-01-04_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-01-12 09:18:17	ga_ls7e_ard_3-0-0_091088_2007-01-11_final
2007-02-04 09:24:12	ga_ls7e_ard_3-0-0_092087_2007-02-03_final
2007-02-04 09:24:36	ga_ls7e_ard_3-0-0_092088_2007-02-03_final
2007-02-27 09:30:31	ga_ls7e_ard_3-1-0_093087_2007-02-27_final
2007-03-01 09:18:33	ga_ls7e_ard_3-0-0_091088_2007-02-28_final
2007-03-22 09:36:45	ga_ls7e_ard_3-0-0_094087_2007-03-22_final
2007-05-27 09:24:31	ga_ls7e_ard_3-0-0_092088_2007-05-26_final
2007-06-30 09:12:08	ga_ls7e_ard_3-0-0_090088_2007-06-29_final
2007-07-21 09:30:36	ga_ls7e_ard_3-1-0_093088_2007-07-21_final
2007-07-23 09:18:14	ga_ls7e_ard_3-0-0_091088_2007-07-22_final
2007-08-24 09:18:03	ga_ls7e_ard_3-0-0_091088_2007-08-23_final
2008-08-03 09:11:08	ga_ls7e_ard_3-0-0_090088_2008-08-02_final
2008-10-20 09:23:00	ga_ls7e_ard_3-0-0_092088_2008-10-19_final
2009-01-17 09:17:47	ga_ls7e_ard_3-0-0_091088_2009-01-16_final
2009-01-26 09:11:38	ga_ls7e_ard_3-0-0_090088_2009-01-25_final
2009-03-06 09:18:09	ga_ls7e_ard_3-0-0_091088_2009-03-05_final
2017-01-16 09:24:01	ga_ls7e_ard_3-0-0_090088_2017-01-15_final
2017-01-23 09:30:07	ga_ls7e_ard_3-1-0_091088_2017-01-23_final
2017-02-15 09:36:12	ga_ls7e_ard_3-0-0_092088_2017-02-15_final
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-02-22 09:42:27	ga_ls7e_ard_3-0-0_093088_2017-02-22_final
2017-03-05 09:24:00	ga_ls7e_ard_3-0-0_090088_2017-03-04_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-04-06 09:24:09	ga_ls7e_ard_3-0-0_090088_2017-04-05_final
2017-04-11 09:42:44	ga_ls7e_ard_3-0-0_093088_2017-04-11_final
2017-04-13 09:30:24	ga_ls7e_ard_3-0-0_091088_2017-04-13_final
2017-04-27 09:42:51	ga_ls7e_ard_3-0-0_093088_2017-04-27_final
2017-04-29 09:30:30	ga_ls7e_ard_3-1-0_091088_2017-04-29_final
2017-05-08 09:24:21	ga_ls7e_ard_3-0-0_090088_2017-05-07_final
2017-05-13 09:42:55	ga_ls7e_ard_3-0-0_093088_2017-05-13_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_final
2017-05-24 09:24:24	ga_ls7e_ard_3-0-0_090088_2017-05-23_final
2017-05-29 09:42:58	ga_ls7e_ard_3-0-0_093088_2017-05-29_final
2017-06-07 09:36:50	ga_ls7e_ard_3-0-0_092088_2017-06-07_final
2017-06-14 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-06-14_final
2017-06-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-06-16_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2017-07-27 09:24:32	ga_ls7e_ard_3-0-0_090088_2017-07-26_final
2017-08-01 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-08-01_final
2017-08-03 09:30:42	ga_ls7e_ard_3-0-0_091088_2017-08-03_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-09-29 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-28_final
2017-10-04 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-10-04_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-11-04 09:17:35	ga_ls7e_ard_3-1-0_092087_2019-11-03_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-22 09:04:48	ga_ls7e_ard_3-1-0_090088_2019-11-21_final
2019-12-06 09:16:29	ga_ls7e_ard_3-1-0_092088_2019-12-05_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2019-12-29 09:21:29	ga_ls7e_ard_3-1-0_093088_2019-12-28_final
2019-12-31 09:09:01	ga_ls7e_ard_3-1-0_091088_2019-12-30_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-16 09:08:13	ga_ls7e_ard_3-1-0_091088_2020-01-15_final
2020-03-11 09:11:09	ga_ls7e_ard_3-1-0_092087_2020-03-10_final
2020-03-11 09:11:33	ga_ls7e_ard_3-1-0_092088_2020-03-10_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-03 09:16:03	ga_ls7e_ard_3-1-0_093087_2020-04-02_final
2020-04-03 09:16:26	ga_ls7e_ard_3-1-0_093088_2020-04-02_final
2020-04-05 09:03:58	ga_ls7e_ard_3-1-0_091088_2020-04-04_final
2020-04-14 08:57:16	ga_ls7e_ard_3-1-0_090088_2020-04-13_final
2020-04-17 09:27:36	ga_ls7e_ard_3-1-0_095087_2020-04-16_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2020-04-28 09:08:24	ga_ls7e_ard_3-1-0_092087_2020-04-27_final
2020-04-28 09:08:48	ga_ls7e_ard_3-1-0_092088_2020-04-27_final
2020-05-05 09:14:10	ga_ls7e_ard_3-1-0_093087_2020-05-04_final
2020-05-07 09:02:05	ga_ls7e_ard_3-1-0_091088_2020-05-06_final
2020-05-14 09:07:50	ga_ls7e_ard_3-1-0_092088_2020-05-13_final
2020-05-16 08:55:21	ga_ls7e_ard_3-1-0_090088_2020-05-15_final
2020-05-21 09:13:35	ga_ls7e_ard_3-1-0_093088_2020-05-20_final
2020-05-23 09:01:06	ga_ls7e_ard_3-1-0_091088_2020-05-22_final
2020-05-28 09:18:56	ga_ls7e_ard_3-1-0_094087_2020-05-27_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2020-06-06 09:12:14	ga_ls7e_ard_3-1-0_093087_2020-06-05_final
2020-06-06 09:12:38	ga_ls7e_ard_3-1-0_093088_2020-06-05_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2020-06-08 09:00:09	ga_ls7e_ard_3-1-0_091088_2020-06-07_final
2020-06-17 08:53:27	ga_ls7e_ard_3-1-0_090088_2020-06-16_final
2020-06-20 09:23:46	ga_ls7e_ard_3-1-0_095087_2020-06-19_final
2020-06-24 08:58:49	ga_ls7e_ard_3-1-0_091087_2020-06-23_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