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
2004-11-17 09:28:34	ga_ls7e_ard_3-0-0_093086_2004-11-16_final
2004-11-17 09:28:58	ga_ls7e_ard_3-1-0_093087_2004-11-16_final
2004-11-19 09:16:14	ga_ls7e_ard_3-1-0_091086_2004-11-18_final
2004-11-19 09:16:38	ga_ls7e_ard_3-0-0_091087_2004-11-18_final
2005-01-08 09:04:18	ga_ls7e_ard_3-0-0_089086_2005-01-07_final
2005-01-11 09:35:12	ga_ls7e_ard_3-0-0_094086_2005-01-11_final
2005-05-19 09:35:25	ga_ls7e_ard_3-0-0_094086_2005-05-19_final
2005-05-19 09:35:49	ga_ls7e_ard_3-0-0_094087_2005-05-19_final
2005-06-04 09:35:21	ga_ls7e_ard_3-0-0_094086_2005-06-04_final
2005-06-04 09:35:45	ga_ls7e_ard_3-0-0_094087_2005-06-04_final
2005-06-06 09:22:58	ga_ls7e_ard_3-0-0_092086_2005-06-05_final
2005-06-06 09:23:22	ga_ls7e_ard_3-0-0_092087_2005-06-05_final
2005-06-08 09:10:36	ga_ls7e_ard_3-0-0_090086_2005-06-07_final
2005-06-11 09:41:28	ga_ls7e_ard_3-0-0_095086_2005-06-11_final
2005-06-11 09:41:52	ga_ls7e_ard_3-0-0_095087_2005-06-11_final
2005-06-13 09:29:05	ga_ls7e_ard_3-0-0_093086_2005-06-12_final
2005-06-13 09:29:29	ga_ls7e_ard_3-0-0_093087_2005-06-12_final
2005-06-15 09:16:43	ga_ls7e_ard_3-1-0_091086_2005-06-14_final
2005-06-15 09:17:07	ga_ls7e_ard_3-0-0_091087_2005-06-14_final
2005-06-17 09:04:21	ga_ls7e_ard_3-0-0_089086_2005-06-16_final
2006-06-02 09:17:19	ga_ls7e_ard_3-1-0_091086_2006-06-01_final
2006-06-02 09:17:43	ga_ls7e_ard_3-0-0_091087_2006-06-01_final
2006-06-04 09:04:57	ga_ls7e_ard_3-0-0_089086_2006-06-03_final
2006-06-05 09:48:13	ga_ls7e_ard_3-1-0_096086_2006-06-05_final
2006-06-07 09:35:51	ga_ls7e_ard_3-0-0_094086_2006-06-07_final
2006-06-07 09:36:15	ga_ls7e_ard_3-0-0_094087_2006-06-07_final
2006-06-09 09:23:28	ga_ls7e_ard_3-0-0_092086_2006-06-08_final
2006-06-09 09:23:52	ga_ls7e_ard_3-0-0_092087_2006-06-08_final
2006-08-23 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-08-22_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
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-04-09 09:24:22	ga_ls7e_ard_3-0-0_092087_2007-04-08_final
2007-04-25 09:24:20	ga_ls7e_ard_3-0-0_092087_2007-04-24_final
2007-06-10 09:36:28	ga_ls7e_ard_3-0-0_094087_2007-06-10_final
2007-07-12 09:36:25	ga_ls7e_ard_3-0-0_094087_2007-07-12_final
2007-07-30 09:23:59	ga_ls7e_ard_3-0-0_092087_2007-07-29_final
2017-01-10 10:00:22	ga_ls7e_ard_3-1-0_096086_2017-01-10_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-02-04 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-04_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-02-27 10:00:14	ga_ls7e_ard_3-1-0_096086_2017-02-27_final
2017-03-01 09:48:17	ga_ls7e_ard_3-0-0_094087_2017-03-01_final
2017-03-10 09:42:10	ga_ls7e_ard_3-0-0_093087_2017-03-10_final
2017-04-15 09:17:15	ga_ls7e_ard_3-0-0_089086_2017-04-14_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
2017-04-29 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-04-28_final
2017-04-29 09:30:06	ga_ls7e_ard_3-1-0_091087_2017-04-29_final
2017-05-17 09:17:24	ga_ls7e_ard_3-0-0_089086_2017-05-16_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
2017-06-05 09:48:23	ga_ls7e_ard_3-0-0_094086_2017-06-05_final
2017-06-07 09:36:02	ga_ls7e_ard_3-0-0_092086_2017-06-07_final
2017-06-07 09:36:26	ga_ls7e_ard_3-0-0_092087_2017-06-07_final
2017-06-23 09:36:29	ga_ls7e_ard_3-0-0_092087_2017-06-23_final
2017-07-07 09:48:28	ga_ls7e_ard_3-0-0_094086_2017-07-07_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
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-08-26 09:36:28	ga_ls7e_ard_3-0-0_092087_2017-08-26_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
2017-10-15 09:23:43	ga_ls7e_ard_3-0-0_090086_2017-10-14_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-07-01 09:51:47	ga_ls7e_ard_3-0-0_095087_2018-07-01_final
2018-07-03 09:38:59	ga_ls7e_ard_3-0-0_093086_2018-07-03_final
2018-08-04 09:38:48	ga_ls7e_ard_3-0-0_093087_2018-08-04_final
2018-08-06 09:26:01	ga_ls7e_ard_3-1-0_091086_2018-08-05_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-02 09:18:37	ga_ls7e_ard_3-0-0_090086_2018-10-01_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2018-10-07 09:37:02	ga_ls7e_ard_3-0-0_093086_2018-10-07_final
2018-10-07 09:37:26	ga_ls7e_ard_3-1-0_093087_2018-10-07_final
2018-10-12 09:55:27	ga_ls7e_ard_3-1-0_096086_2018-10-12_final
2018-10-25 09:24:15	ga_ls7e_ard_3-1-0_091086_2018-10-24_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-10 09:24:18	ga_ls7e_ard_3-0-0_091087_2018-11-09_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_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
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-04-06 09:50:23	ga_ls7e_ard_3-1-0_096086_2019-04-06_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_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