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
2012-12-25 09:36:11	ga_ls7e_ard_3-1-0_093087_2012-12-25_final
2013-01-08 09:48:33	ga_ls7e_ard_3-0-0_095087_2013-01-08_final
2013-01-10 09:36:11	ga_ls7e_ard_3-0-0_093087_2013-01-10_final
2013-01-12 09:23:49	ga_ls7e_ard_3-0-0_091087_2013-01-11_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
2013-02-04 09:30:04	ga_ls7e_ard_3-1-0_092087_2013-02-04_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
2013-02-13 09:23:52	ga_ls7e_ard_3-0-0_091087_2013-02-12_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
2013-03-24 09:29:55	ga_ls7e_ard_3-1-0_092087_2013-03-23_final
2013-03-29 09:48:26	ga_ls7e_ard_3-0-0_095087_2013-03-29_final
2013-03-31 09:36:05	ga_ls7e_ard_3-0-0_093087_2013-03-31_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
2013-05-25 09:41:38	ga_ls7e_ard_3-0-0_094086_2013-05-25_final
2013-05-25 09:42:02	ga_ls7e_ard_3-0-0_094087_2013-05-25_final
2013-06-05 09:23:21	ga_ls7e_ard_3-0-0_091087_2013-06-04_final
2013-06-10 09:41:53	ga_ls7e_ard_3-0-0_094087_2013-06-10_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
2013-07-05 09:35:06	ga_ls7e_ard_3-0-0_093086_2013-07-05_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
2013-07-23 09:23:00	ga_ls7e_ard_3-0-0_091087_2013-07-22_final
2013-07-25 09:10:13	ga_ls7e_ard_3-0-0_089086_2013-07-24_final
2013-07-30 09:29:06	ga_ls7e_ard_3-0-0_092087_2013-07-29_final
2014-11-11 09:50:39	ga_ls7e_ard_3-0-0_095087_2014-11-11_final
2014-11-13 09:38:17	ga_ls7e_ard_3-1-0_093087_2014-11-13_final
2014-11-15 09:25:55	ga_ls7e_ard_3-0-0_091087_2014-11-14_final
2014-12-24 09:32:23	ga_ls7e_ard_3-0-0_092087_2014-12-24_final
2014-12-29 09:50:30	ga_ls7e_ard_3-0-0_095086_2014-12-29_final
2014-12-31 09:38:31	ga_ls7e_ard_3-1-0_093087_2014-12-31_final
2015-01-02 09:26:11	ga_ls7e_ard_3-0-0_091087_2015-01-01_final
2015-01-23 09:44:47	ga_ls7e_ard_3-0-0_094087_2015-01-23_final
2015-01-25 09:32:27	ga_ls7e_ard_3-0-0_092087_2015-01-25_final
2015-02-03 09:26:21	ga_ls7e_ard_3-0-0_091087_2015-02-02_final
2015-02-06 09:56:52	ga_ls7e_ard_3-1-0_096086_2015-02-06_final
2015-02-08 09:44:30	ga_ls7e_ard_3-0-0_094086_2015-02-08_final
2015-02-10 09:32:32	ga_ls7e_ard_3-0-0_092087_2015-02-10_final
2015-03-03 09:51:16	ga_ls7e_ard_3-0-0_095087_2015-03-03_final
2015-03-05 09:38:55	ga_ls7e_ard_3-1-0_093087_2015-03-05_final
2015-03-07 09:26:33	ga_ls7e_ard_3-0-0_091087_2015-03-06_final
2015-04-08 09:26:50	ga_ls7e_ard_3-0-0_091087_2015-04-07_final
2015-04-13 09:45:25	ga_ls7e_ard_3-0-0_094087_2015-04-13_final
2015-04-15 09:33:04	ga_ls7e_ard_3-0-0_092087_2015-04-15_final
2015-04-20 09:51:37	ga_ls7e_ard_3-0-0_095087_2015-04-20_final
2015-04-22 09:39:15	ga_ls7e_ard_3-1-0_093087_2015-04-22_final
2015-05-08 09:39:00	ga_ls7e_ard_3-0-0_093086_2015-05-08_final
2015-05-08 09:39:24	ga_ls7e_ard_3-1-0_093087_2015-05-08_final
2015-05-17 09:33:18	ga_ls7e_ard_3-0-0_092087_2015-05-17_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-05-26 09:26:44	ga_ls7e_ard_3-1-0_091086_2015-05-25_final
2015-05-26 09:27:07	ga_ls7e_ard_3-0-0_091087_2015-05-25_final
2015-05-31 09:45:43	ga_ls7e_ard_3-0-0_094087_2015-05-31_final
2015-06-02 09:32:59	ga_ls7e_ard_3-0-0_092086_2015-06-02_final
2015-06-27 09:26:53	ga_ls7e_ard_3-1-0_091086_2015-06-26_final
2015-06-27 09:27:17	ga_ls7e_ard_3-0-0_091087_2015-06-26_final
2015-07-16 09:57:55	ga_ls7e_ard_3-1-0_096086_2015-07-16_final
2015-07-18 09:45:57	ga_ls7e_ard_3-0-0_094087_2015-07-18_final
2015-07-20 09:33:36	ga_ls7e_ard_3-0-0_092087_2015-07-20_final
2015-07-25 09:52:09	ga_ls7e_ard_3-0-0_095087_2015-07-25_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
2015-08-03 09:46:00	ga_ls7e_ard_3-0-0_094087_2015-08-03_final
2015-08-12 09:39:52	ga_ls7e_ard_3-0-0_093087_2015-08-12_final
2017-04-20 09:36:14	ga_ls7e_ard_3-0-0_092087_2017-04-20_final
2017-05-24 09:23:36	ga_ls7e_ard_3-0-0_090086_2017-05-23_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-06-14 09:42:38	ga_ls7e_ard_3-0-0_093087_2017-06-14_final
2017-06-16 09:29:53	ga_ls7e_ard_3-1-0_091086_2017-06-15_final
2017-06-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-06-16_final
2017-06-18 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-06-17_final
2017-07-02 09:29:55	ga_ls7e_ard_3-1-0_091086_2017-07-01_final
2017-07-02 09:30:19	ga_ls7e_ard_3-0-0_091087_2017-07-02_final
2017-07-09 09:36:31	ga_ls7e_ard_3-0-0_092087_2017-07-09_final
2017-07-14 09:55:03	ga_ls7e_ard_3-0-0_095087_2017-07-14_final
2017-08-24 09:48:49	ga_ls7e_ard_3-0-0_094087_2017-08-24_final
2017-08-26 09:36:28	ga_ls7e_ard_3-0-0_092087_2017-08-26_final
2017-09-02 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-09-02_final
2017-09-04 09:30:17	ga_ls7e_ard_3-0-0_091087_2017-09-04_final
2017-09-13 09:23:41	ga_ls7e_ard_3-0-0_090086_2017-09-12_final
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2018-01-19 09:23:00	ga_ls7e_ard_3-0-0_090086_2018-01-18_final
2018-02-09 09:41:36	ga_ls7e_ard_3-0-0_093087_2018-02-09_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-03-20 09:46:57	ga_ls7e_ard_3-0-0_094086_2018-03-20_final
2018-03-22 09:34:58	ga_ls7e_ard_3-0-0_092087_2018-03-22_final
2018-05-20 09:15:03	ga_ls7e_ard_3-0-0_089086_2018-05-19_final
2018-05-25 09:33:31	ga_ls7e_ard_3-0-0_092086_2018-05-25_final
2018-05-25 09:33:55	ga_ls7e_ard_3-0-0_092087_2018-05-25_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-07-26 09:45:09	ga_ls7e_ard_3-0-0_094087_2018-07-26_final
2018-07-28 09:32:45	ga_ls7e_ard_3-0-0_092087_2018-07-28_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