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
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-09-21 09:34:50	ga_ls7e_ard_3-0-0_094087_2004-09-21_final
2004-11-01 09:28:53	ga_ls7e_ard_3-1-0_093087_2004-10-31_final
2004-11-01 09:29:17	ga_ls7e_ard_3-0-0_093088_2004-10-31_final
2004-11-03 09:16:57	ga_ls7e_ard_3-0-0_091088_2004-11-02_final
2004-11-19 09:16:38	ga_ls7e_ard_3-0-0_091087_2004-11-18_final
2004-11-19 09:17:02	ga_ls7e_ard_3-0-0_091088_2004-11-18_final
2004-11-26 09:22:55	ga_ls7e_ard_3-0-0_092087_2004-11-25_final
2004-11-26 09:23:19	ga_ls7e_ard_3-0-0_092088_2004-11-25_final
2004-12-10 09:35:23	ga_ls7e_ard_3-0-0_094087_2004-12-10_final
2004-12-12 09:23:02	ga_ls7e_ard_3-0-0_092087_2004-12-11_final
2005-01-20 09:29:26	ga_ls7e_ard_3-0-0_093087_2005-01-19_final
2005-01-22 09:17:04	ga_ls7e_ard_3-0-0_091087_2005-01-21_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-01-27 09:35:37	ga_ls7e_ard_3-0-0_094087_2005-01-27_final
2005-01-31 09:11:20	ga_ls7e_ard_3-0-0_090088_2005-01-30_final
2005-02-05 09:29:32	ga_ls7e_ard_3-1-0_093087_2005-02-04_final
2012-05-26 09:16:27	ga_ls7e_ard_3-0-0_090088_2012-05-25_final
2012-06-09 09:28:36	ga_ls7e_ard_3-0-0_092088_2012-06-08_final
2012-06-11 09:16:16	ga_ls7e_ard_3-0-0_090088_2012-06-10_final
2012-06-27 09:16:23	ga_ls7e_ard_3-1-0_090088_2012-06-26_final
2012-10-01 09:17:29	ga_ls7e_ard_3-0-0_090088_2012-09-30_final
2012-10-15 09:29:58	ga_ls7e_ard_3-1-0_092088_2012-10-14_final
2012-10-17 09:17:38	ga_ls7e_ard_3-0-0_090088_2012-10-16_final
2012-11-02 09:17:44	ga_ls7e_ard_3-0-0_090088_2012-11-01_final
2012-12-02 09:30:13	ga_ls7e_ard_3-0-0_092088_2012-12-02_final
2012-12-20 09:18:01	ga_ls7e_ard_3-0-0_090088_2012-12-19_final
2014-04-14 09:18:57	ga_ls7e_ard_3-0-0_090088_2014-04-13_final
2014-04-19 09:37:34	ga_ls7e_ard_3-0-0_093088_2014-04-19_final
2014-04-21 09:25:14	ga_ls7e_ard_3-0-0_091088_2014-04-20_final
2014-04-28 09:31:27	ga_ls7e_ard_3-0-0_092088_2014-04-28_final
2014-04-30 09:19:06	ga_ls7e_ard_3-0-0_090088_2014-04-29_final
2014-05-07 09:25:17	ga_ls7e_ard_3-0-0_091088_2014-05-06_final
2014-06-01 09:19:17	ga_ls7e_ard_3-0-0_090088_2014-05-31_final
2014-06-08 09:25:29	ga_ls7e_ard_3-0-0_091088_2014-06-07_final
2014-07-03 09:19:24	ga_ls7e_ard_3-0-0_090088_2014-07-02_final
2014-07-17 09:31:46	ga_ls7e_ard_3-0-0_092088_2014-07-17_final
2014-07-19 09:19:26	ga_ls7e_ard_3-0-0_090088_2014-07-18_final
2014-07-22 09:49:57	ga_ls7e_ard_3-0-0_095087_2014-07-22_final
2014-07-26 09:25:40	ga_ls7e_ard_3-0-0_091088_2014-07-25_final
2014-08-20 09:19:31	ga_ls7e_ard_3-0-0_090088_2014-08-19_final
2014-10-07 09:19:49	ga_ls7e_ard_3-0-0_090088_2014-10-06_final
2014-10-14 09:25:38	ga_ls7e_ard_3-0-0_091087_2014-10-13_final
2014-10-14 09:26:02	ga_ls7e_ard_3-0-0_091088_2014-10-13_final
2014-10-28 09:38:32	ga_ls7e_ard_3-0-0_093088_2014-10-28_final
2015-06-25 09:40:02	ga_ls7e_ard_3-0-0_093088_2015-06-25_final
2015-06-27 09:27:17	ga_ls7e_ard_3-0-0_091087_2015-06-26_final
2015-06-27 09:27:41	ga_ls7e_ard_3-0-0_091088_2015-06-26_final
2015-07-27 09:39:47	ga_ls7e_ard_3-1-0_093087_2015-07-27_final
2015-07-27 09:40:11	ga_ls7e_ard_3-0-0_093088_2015-07-27_final
2015-07-29 09:27:49	ga_ls7e_ard_3-0-0_091088_2015-07-28_final
2017-03-19 09:36:02	ga_ls7e_ard_3-0-0_092087_2017-03-19_final
2017-03-19 09:36:26	ga_ls7e_ard_3-0-0_092088_2017-03-19_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-03-28 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-03-28_final
2017-04-04 09:36:06	ga_ls7e_ard_3-0-0_092087_2017-04-04_final
2017-04-04 09:36:30	ga_ls7e_ard_3-0-0_092088_2017-04-04_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
2017-05-06 09:36:19	ga_ls7e_ard_3-0-0_092087_2017-05-06_final
2017-05-08 09:24:21	ga_ls7e_ard_3-0-0_090088_2017-05-07_final
2017-05-13 09:42:31	ga_ls7e_ard_3-0-0_093087_2017-05-13_final
2017-05-15 09:30:33	ga_ls7e_ard_3-0-0_091088_2017-05-15_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
2017-08-19 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-08-19_final
2017-10-15 09:24:31	ga_ls7e_ard_3-0-0_090088_2017-10-14_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-10-27 09:48:51	ga_ls7e_ard_3-0-0_094087_2017-10-27_final
2017-11-07 09:30:41	ga_ls7e_ard_3-0-0_091088_2017-11-07_final
2017-11-16 09:24:29	ga_ls7e_ard_3-0-0_090088_2017-11-15_final
2017-12-07 09:42:52	ga_ls7e_ard_3-0-0_093088_2017-12-07_final
2018-03-31 09:29:03	ga_ls7e_ard_3-0-0_091088_2018-03-30_final
2018-11-15 09:42:43	ga_ls7e_ard_3-0-0_094087_2018-11-15_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-01-27 09:34:50	ga_ls7e_ard_3-0-0_093088_2019-01-27_final
2019-01-29 09:22:00	ga_ls7e_ard_3-0-0_091087_2019-01-28_final
2019-01-29 09:22:24	ga_ls7e_ard_3-0-0_091088_2019-01-28_final
2019-02-12 09:34:21	ga_ls7e_ard_3-0-0_093088_2019-02-12_final
2019-02-14 09:21:32	ga_ls7e_ard_3-0-0_091087_2019-02-13_final
2019-02-14 09:21:56	ga_ls7e_ard_3-0-0_091088_2019-02-13_final
2019-02-21 09:27:54	ga_ls7e_ard_3-1-0_092088_2019-02-20_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-03-25 09:26:28	ga_ls7e_ard_3-1-0_092087_2019-03-24_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-04-24 09:37:46	ga_ls7e_ard_3-0-0_094087_2019-04-24_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-04-28 09:13:18	ga_ls7e_ard_3-0-0_090088_2019-04-27_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-05-12 09:25:07	ga_ls7e_ard_3-0-0_092088_2019-05-11_final
2019-05-14 09:12:41	ga_ls7e_ard_3-0-0_090088_2019-05-13_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