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
2006-07-18 09:29:24	ga_ls7e_ard_3-0-0_093086_2006-07-17_final
2006-07-18 09:29:48	ga_ls7e_ard_3-1-0_093087_2006-07-17_final
2006-08-10 09:35:29	ga_ls7e_ard_3-0-0_094086_2006-08-10_final
2006-08-10 09:35:53	ga_ls7e_ard_3-0-0_094087_2006-08-10_final
2006-08-12 09:23:08	ga_ls7e_ard_3-0-0_092086_2006-08-11_final
2006-08-26 09:35:27	ga_ls7e_ard_3-0-0_094086_2006-08-26_final
2006-08-26 09:35:51	ga_ls7e_ard_3-0-0_094087_2006-08-26_final
2006-08-28 09:23:05	ga_ls7e_ard_3-0-0_092086_2006-08-27_final
2006-08-28 09:23:29	ga_ls7e_ard_3-0-0_092087_2006-08-27_final
2006-11-27 09:04:57	ga_ls7e_ard_3-0-0_089086_2006-11-26_final
2006-11-28 09:48:14	ga_ls7e_ard_3-1-0_096086_2006-11-28_final
2006-11-30 09:35:53	ga_ls7e_ard_3-0-0_094086_2006-11-30_final
2006-12-20 09:11:17	ga_ls7e_ard_3-0-0_090086_2006-12-19_final
2009-03-18 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-03-18_final
2009-03-18 09:42:34	ga_ls7e_ard_3-0-0_095087_2009-03-18_final
2009-03-20 09:29:49	ga_ls7e_ard_3-1-0_093086_2009-03-19_final
2009-03-20 09:30:13	ga_ls7e_ard_3-0-0_093087_2009-03-20_final
2013-01-26 09:35:50	ga_ls7e_ard_3-0-0_093086_2013-01-26_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 09:29:40	ga_ls7e_ard_3-0-0_092086_2013-02-03_final
2013-02-04 09:30:04	ga_ls7e_ard_3-1-0_092087_2013-02-04_final
2013-03-13 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-03-13_final
2013-03-17 09:23:47	ga_ls7e_ard_3-0-0_091087_2013-03-16_final
2013-03-19 09:11:01	ga_ls7e_ard_3-0-0_089086_2013-03-18_final
2013-04-04 09:10:57	ga_ls7e_ard_3-0-0_089086_2013-04-03_final
2013-04-05 09:54:13	ga_ls7e_ard_3-1-0_096086_2013-04-05_final
2013-04-07 09:42:15	ga_ls7e_ard_3-0-0_094087_2013-04-07_final
2013-04-09 09:29:29	ga_ls7e_ard_3-0-0_092086_2013-04-08_final
2013-04-11 09:17:07	ga_ls7e_ard_3-0-0_090086_2013-04-10_final
2013-06-17 09:47:39	ga_ls7e_ard_3-0-0_095086_2013-06-17_final
2013-06-17 09:48:02	ga_ls7e_ard_3-0-0_095087_2013-06-17_final
2013-06-19 09:35:16	ga_ls7e_ard_3-0-0_093086_2013-06-19_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
2013-06-24 09:53:46	ga_ls7e_ard_3-1-0_096086_2013-06-24_final
2013-06-26 09:41:24	ga_ls7e_ard_3-0-0_094086_2013-06-26_final
2013-06-26 09:41:48	ga_ls7e_ard_3-0-0_094087_2013-06-26_final
2013-06-28 09:29:01	ga_ls7e_ard_3-0-0_092086_2013-06-27_final
2013-06-28 09:29:25	ga_ls7e_ard_3-0-0_092087_2013-06-27_final
2013-07-03 09:47:54	ga_ls7e_ard_3-0-0_095087_2013-07-03_final
2013-07-05 09:35:06	ga_ls7e_ard_3-0-0_093086_2013-07-05_final
2013-07-05 09:35:30	ga_ls7e_ard_3-0-0_093087_2013-07-05_final
2014-04-24 09:55:21	ga_ls7e_ard_3-1-0_096086_2014-04-24_final
2014-05-09 09:12:10	ga_ls7e_ard_3-0-0_089086_2014-05-08_final
2014-05-10 09:55:26	ga_ls7e_ard_3-1-0_096086_2014-05-10_final
2014-05-23 09:24:38	ga_ls7e_ard_3-1-0_091086_2014-05-22_final
2014-06-26 09:12:22	ga_ls7e_ard_3-0-0_089086_2014-06-25_final
2014-06-27 09:55:39	ga_ls7e_ard_3-1-0_096086_2014-06-27_final
2014-07-28 09:12:31	ga_ls7e_ard_3-0-0_089086_2014-07-27_final
2014-08-20 09:18:43	ga_ls7e_ard_3-0-0_090086_2014-08-19_final
2014-08-27 09:24:52	ga_ls7e_ard_3-1-0_091086_2014-08-26_final
2014-08-27 09:25:16	ga_ls7e_ard_3-0-0_091087_2014-08-26_final
2016-06-25 09:54:33	ga_ls7e_ard_3-0-0_095086_2016-06-25_final
2016-06-27 09:42:12	ga_ls7e_ard_3-0-0_093086_2016-06-27_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2016-07-13 09:42:11	ga_ls7e_ard_3-0-0_093086_2016-07-13_final
2016-07-13 09:42:35	ga_ls7e_ard_3-1-0_093087_2016-07-13_final
2016-07-15 09:29:50	ga_ls7e_ard_3-1-0_091086_2016-07-14_final
2016-07-15 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-07-15_final
2016-09-08 09:36:09	ga_ls7e_ard_3-0-0_092086_2016-09-08_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2016-11-11 09:36:02	ga_ls7e_ard_3-0-0_092086_2016-11-11_final
2016-11-11 09:36:26	ga_ls7e_ard_3-0-0_092087_2016-11-11_final
2016-11-13 09:23:39	ga_ls7e_ard_3-0-0_090086_2016-11-12_final
2017-01-14 09:35:36	ga_ls7e_ard_3-0-0_092086_2017-01-14_final
2017-01-16 09:23:13	ga_ls7e_ard_3-0-0_090086_2017-01-15_final
2018-09-23 09:25:01	ga_ls7e_ard_3-1-0_091086_2018-09-22_final
2018-09-23 09:25:25	ga_ls7e_ard_3-0-0_091087_2018-09-22_final
2019-01-06 09:16:10	ga_ls7e_ard_3-0-0_090086_2019-01-05_final
2019-01-27 09:34:02	ga_ls7e_ard_3-0-0_093086_2019-01-27_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
2019-02-07 09:15:10	ga_ls7e_ard_3-0-0_090086_2019-02-06_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
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-02 09:20:39	ga_ls7e_ard_3-1-0_091086_2019-03-01_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-04-05 09:07:09	ga_ls7e_ard_3-0-0_089086_2019-04-04_final
2019-04-06 09:50:23	ga_ls7e_ard_3-1-0_096086_2019-04-06_final
2019-05-03 09:30:51	ga_ls7e_ard_3-0-0_093086_2019-05-03_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
2019-05-12 09:24:19	ga_ls7e_ard_3-0-0_092086_2019-05-11_final
2019-05-24 09:48:34	ga_ls7e_ard_3-1-0_096086_2019-05-24_final
2019-05-26 09:36:08	ga_ls7e_ard_3-0-0_094086_2019-05-26_final
2019-05-26 09:36:32	ga_ls7e_ard_3-0-0_094087_2019-05-26_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