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
2000-08-13 09:12:58	ga_ls7e_ard_3-0-0_090088_2000-08-12_final
2000-10-16 09:12:01	ga_ls7e_ard_3-0-0_090088_2000-10-15_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2001-02-21 09:12:17	ga_ls7e_ard_3-0-0_090088_2001-02-20_final
2005-01-20 09:29:26	ga_ls7e_ard_3-0-0_093087_2005-01-19_final
2006-04-15 09:17:41	ga_ls7e_ard_3-0-0_091087_2006-04-14_final
2006-04-15 09:18:05	ga_ls7e_ard_3-0-0_091088_2006-04-14_final
2006-05-17 09:17:44	ga_ls7e_ard_3-0-0_091087_2006-05-16_final
2006-05-17 09:18:08	ga_ls7e_ard_3-0-0_091088_2006-05-16_final
2006-09-06 09:17:16	ga_ls7e_ard_3-0-0_091087_2006-09-05_final
2006-09-06 09:17:40	ga_ls7e_ard_3-0-0_091088_2006-09-05_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
2006-11-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2006-11-08_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-02-20 09:24:18	ga_ls7e_ard_3-0-0_092087_2007-02-19_final
2007-02-20 09:24:42	ga_ls7e_ard_3-0-0_092088_2007-02-19_final
2007-02-22 09:12:21	ga_ls7e_ard_3-0-0_090088_2007-02-21_final
2007-03-13 09:42:55	ga_ls7e_ard_3-0-0_095087_2007-03-13_final
2007-03-15 09:30:33	ga_ls7e_ard_3-1-0_093087_2007-03-15_final
2007-03-15 09:30:57	ga_ls7e_ard_3-0-0_093088_2007-03-15_final
2007-03-17 09:18:12	ga_ls7e_ard_3-0-0_091087_2007-03-16_final
2007-03-17 09:18:36	ga_ls7e_ard_3-0-0_091088_2007-03-16_final
2007-04-25 09:24:44	ga_ls7e_ard_3-0-0_092088_2007-04-24_final
2007-04-27 09:12:22	ga_ls7e_ard_3-0-0_090088_2007-04-26_final
2007-06-03 09:30:17	ga_ls7e_ard_3-0-0_093087_2007-06-03_final
2007-06-03 09:30:41	ga_ls7e_ard_3-1-0_093088_2007-06-03_final
2007-06-05 09:17:56	ga_ls7e_ard_3-0-0_091087_2007-06-04_final
2007-06-05 09:18:20	ga_ls7e_ard_3-0-0_091088_2007-06-04_final
2007-07-16 09:12:05	ga_ls7e_ard_3-0-0_090088_2007-07-15_final
2007-08-08 09:18:09	ga_ls7e_ard_3-0-0_091088_2007-08-07_final
2007-09-02 09:11:48	ga_ls7e_ard_3-0-0_090088_2007-09-01_final
2010-12-15 09:14:54	ga_ls7e_ard_3-0-0_090088_2010-12-14_final
2011-03-03 09:27:47	ga_ls7e_ard_3-0-0_092088_2011-03-02_final
2011-03-05 09:15:26	ga_ls7e_ard_3-0-0_090088_2011-03-04_final
2014-12-17 09:26:34	ga_ls7e_ard_3-0-0_091088_2014-12-16_final
2015-02-10 09:32:32	ga_ls7e_ard_3-0-0_092087_2015-02-10_final
2015-02-10 09:32:56	ga_ls7e_ard_3-0-0_092088_2015-02-10_final
2015-02-12 09:20:33	ga_ls7e_ard_3-0-0_090088_2015-02-11_final
2015-02-28 09:20:44	ga_ls7e_ard_3-0-0_090088_2015-02-27_final
2015-03-14 09:32:47	ga_ls7e_ard_3-0-0_092087_2015-03-14_final
2015-03-14 09:33:11	ga_ls7e_ard_3-0-0_092088_2015-03-14_final
2015-03-16 09:20:51	ga_ls7e_ard_3-0-0_090088_2015-03-15_final
2015-04-06 09:39:34	ga_ls7e_ard_3-0-0_093088_2015-04-06_final
2015-04-08 09:26:50	ga_ls7e_ard_3-0-0_091087_2015-04-07_final
2015-04-08 09:27:14	ga_ls7e_ard_3-0-0_091088_2015-04-07_final
2015-04-29 09:45:30	ga_ls7e_ard_3-0-0_094087_2015-04-29_final
2015-05-01 09:33:33	ga_ls7e_ard_3-0-0_092088_2015-05-01_final
2015-05-10 09:27:27	ga_ls7e_ard_3-0-0_091088_2015-05-09_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-01-16 09:24:01	ga_ls7e_ard_3-0-0_090088_2017-01-15_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
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_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
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-03-10 09:42:10	ga_ls7e_ard_3-0-0_093087_2017-03-10_final
2017-03-10 09:42:34	ga_ls7e_ard_3-0-0_093088_2017-03-10_final
2017-04-18 09:48:34	ga_ls7e_ard_3-0-0_094087_2017-04-18_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-04-27 09:42:51	ga_ls7e_ard_3-0-0_093088_2017-04-27_final
2017-04-29 09:30:06	ga_ls7e_ard_3-1-0_091087_2017-04-29_final
2017-04-29 09:30:30	ga_ls7e_ard_3-1-0_091088_2017-04-29_final
2017-05-13 09:42:31	ga_ls7e_ard_3-0-0_093087_2017-05-13_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
2017-05-20 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
2017-05-22 09:36:45	ga_ls7e_ard_3-0-0_092088_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
2017-05-29 09:42:58	ga_ls7e_ard_3-0-0_093088_2017-05-29_final
2017-05-31 09:30:13	ga_ls7e_ard_3-0-0_091087_2017-05-31_final
2017-05-31 09:30:37	ga_ls7e_ard_3-0-0_091088_2017-05-31_final
2017-06-07 09:36:50	ga_ls7e_ard_3-0-0_092088_2017-06-07_final
2017-06-09 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-06-08_final
2017-06-23 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-06-23_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2017-06-30 09:42:41	ga_ls7e_ard_3-0-0_093087_2017-06-30_final
2017-06-30 09:43:05	ga_ls7e_ard_3-0-0_093088_2017-06-30_final
2017-07-02 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-07-02_final
2017-07-02 09:30:43	ga_ls7e_ard_3-0-0_091088_2017-07-02_final
2017-07-07 09:48:52	ga_ls7e_ard_3-0-0_094087_2017-07-07_final
2017-07-25 09:36:30	ga_ls7e_ard_3-0-0_092087_2017-07-25_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-08-01 09:43:04	ga_ls7e_ard_3-0-0_093088_2017-08-01_final
2017-08-28 09:24:30	ga_ls7e_ard_3-0-0_090088_2017-08-27_final
2017-08-31 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-08-31_final
2017-09-02 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-09-02_final
2017-09-09 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-09-09_final
2017-09-13 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-12_final
2017-09-16 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-09-16_final
2017-09-18 09:42:36	ga_ls7e_ard_3-1-0_093087_2017-09-18_final
2017-09-25 09:48:48	ga_ls7e_ard_3-0-0_094087_2017-09-25_final
2017-09-29 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-09-28_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-10-04 09:43:02	ga_ls7e_ard_3-0-0_093088_2017-10-04_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