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
2006-07-02 09:29:32	ga_ls7e_ard_3-0-0_093086_2006-07-01_final
2006-07-22 09:04:38	ga_ls7e_ard_3-0-0_089086_2006-07-21_final
2006-08-23 09:04:34	ga_ls7e_ard_3-0-0_089086_2006-08-22_final
2006-09-20 09:29:08	ga_ls7e_ard_3-0-0_093086_2006-09-19_final
2006-12-07 09:42:07	ga_ls7e_ard_3-0-0_095086_2006-12-07_final
2006-12-07 09:42:31	ga_ls7e_ard_3-0-0_095087_2006-12-07_final
2006-12-09 09:29:46	ga_ls7e_ard_3-1-0_093086_2006-12-08_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-02-04 09:23:49	ga_ls7e_ard_3-0-0_092086_2007-02-03_final
2007-02-04 09:24:12	ga_ls7e_ard_3-0-0_092087_2007-02-03_final
2007-02-06 09:11:28	ga_ls7e_ard_3-0-0_090086_2007-02-05_final
2010-05-01 09:38:24	ga_ls7e_ard_3-0-0_094087_2010-05-01_final
2010-06-18 09:38:21	ga_ls7e_ard_3-0-0_094087_2010-06-18_final
2010-06-20 09:26:00	ga_ls7e_ard_3-0-0_092087_2010-06-19_final
2010-07-20 09:38:26	ga_ls7e_ard_3-0-0_094087_2010-07-20_final
2010-07-24 09:13:19	ga_ls7e_ard_3-0-0_090086_2010-07-23_final
2010-07-27 09:44:37	ga_ls7e_ard_3-0-0_095087_2010-07-27_final
2010-07-29 09:32:15	ga_ls7e_ard_3-0-0_093087_2010-07-29_final
2010-08-09 09:13:18	ga_ls7e_ard_3-0-0_090086_2010-08-08_final
2010-11-20 09:20:27	ga_ls7e_ard_3-0-0_091087_2010-11-19_final
2010-11-27 09:26:43	ga_ls7e_ard_3-0-0_092087_2010-11-26_final
2010-12-02 09:44:54	ga_ls7e_ard_3-0-0_095086_2010-12-02_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2010-12-18 09:45:26	ga_ls7e_ard_3-0-0_095087_2010-12-18_final
2010-12-22 09:20:44	ga_ls7e_ard_3-0-0_091087_2010-12-21_final
2016-06-02 09:48:19	ga_ls7e_ard_3-0-0_094086_2016-06-02_final
2016-06-02 09:48:43	ga_ls7e_ard_3-0-0_094087_2016-06-02_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
2016-08-05 09:48:26	ga_ls7e_ard_3-0-0_094086_2016-08-05_final
2016-08-05 09:48:50	ga_ls7e_ard_3-0-0_094087_2016-08-05_final
2016-08-07 09:36:04	ga_ls7e_ard_3-0-0_092086_2016-08-07_final
2016-08-07 09:36:28	ga_ls7e_ard_3-0-0_092087_2016-08-07_final
2016-08-12 09:55:01	ga_ls7e_ard_3-0-0_095087_2016-08-12_final
2016-08-14 09:42:15	ga_ls7e_ard_3-0-0_093086_2016-08-14_final
2016-08-14 09:42:39	ga_ls7e_ard_3-1-0_093087_2016-08-14_final
2016-08-16 09:30:17	ga_ls7e_ard_3-0-0_091087_2016-08-16_final
2016-08-18 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-08-17_final
2016-09-17 09:30:23	ga_ls7e_ard_3-0-0_091087_2016-09-17_final
2016-10-21 09:17:38	ga_ls7e_ard_3-0-0_089086_2016-10-20_final
2016-10-22 10:00:53	ga_ls7e_ard_3-1-0_096086_2016-10-22_final
2016-10-24 09:48:31	ga_ls7e_ard_3-0-0_094086_2016-10-24_final
2016-10-24 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-10-24_final
2016-11-04 09:30:19	ga_ls7e_ard_3-0-0_091087_2016-11-04_final
2016-11-06 09:17:32	ga_ls7e_ard_3-0-0_089086_2016-11-05_final
2016-11-09 09:48:48	ga_ls7e_ard_3-0-0_094087_2016-11-09_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
2017-02-15 09:35:24	ga_ls7e_ard_3-0-0_092086_2017-02-15_final
2017-02-15 09:35:48	ga_ls7e_ard_3-0-0_092087_2017-02-15_final
2017-02-17 09:23:04	ga_ls7e_ard_3-0-0_090086_2017-02-16_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-12-07 09:42:04	ga_ls7e_ard_3-0-0_093086_2017-12-07_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2017-12-09 09:29:42	ga_ls7e_ard_3-1-0_091086_2017-12-08_final
2017-12-16 09:35:48	ga_ls7e_ard_3-0-0_092086_2017-12-16_final
2017-12-16 09:36:12	ga_ls7e_ard_3-0-0_092087_2017-12-16_final
2018-01-15 09:47:47	ga_ls7e_ard_3-0-0_094086_2018-01-15_final
2018-01-17 09:35:23	ga_ls7e_ard_3-0-0_092086_2018-01-17_final
2018-01-17 09:35:47	ga_ls7e_ard_3-0-0_092087_2018-01-17_final
2018-01-19 09:23:00	ga_ls7e_ard_3-0-0_090086_2018-01-18_final
2018-01-22 09:53:51	ga_ls7e_ard_3-0-0_095086_2018-01-22_final
2018-01-24 09:41:27	ga_ls7e_ard_3-0-0_093086_2018-01-24_final
2018-01-24 09:41:51	ga_ls7e_ard_3-1-0_093087_2018-01-24_final
2018-01-26 09:29:04	ga_ls7e_ard_3-1-0_091086_2018-01-25_final
2018-01-28 09:16:40	ga_ls7e_ard_3-0-0_089086_2018-01-27_final
2018-02-23 09:53:26	ga_ls7e_ard_3-0-0_095086_2018-02-23_final
2018-02-25 09:41:03	ga_ls7e_ard_3-0-0_093086_2018-02-25_final
2018-03-04 09:47:09	ga_ls7e_ard_3-0-0_094086_2018-03-04_final
2018-03-06 09:35:10	ga_ls7e_ard_3-0-0_092087_2018-03-06_final
2018-03-29 09:40:39	ga_ls7e_ard_3-0-0_093086_2018-03-29_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-03-31 09:28:15	ga_ls7e_ard_3-1-0_091086_2018-03-30_final
2018-03-31 09:28:39	ga_ls7e_ard_3-0-0_091087_2018-03-30_final
2018-05-04 09:15:19	ga_ls7e_ard_3-0-0_089086_2018-05-03_final
2018-05-07 09:46:33	ga_ls7e_ard_3-0-0_094087_2018-05-07_final
2018-05-16 09:39:50	ga_ls7e_ard_3-0-0_093086_2018-05-16_final
2018-05-18 09:27:27	ga_ls7e_ard_3-1-0_091086_2018-05-17_final
2018-06-08 09:46:03	ga_ls7e_ard_3-0-0_094087_2018-06-08_final
2018-06-10 09:33:15	ga_ls7e_ard_3-0-0_092086_2018-06-10_final
2018-06-10 09:33:39	ga_ls7e_ard_3-0-0_092087_2018-06-10_final
2018-06-24 09:45:21	ga_ls7e_ard_3-0-0_094086_2018-06-24_final
2018-06-26 09:32:57	ga_ls7e_ard_3-0-0_092086_2018-06-26_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-07-07 09:14:11	ga_ls7e_ard_3-0-0_089086_2018-07-06_final
2018-07-08 09:57:25	ga_ls7e_ard_3-1-0_096086_2018-07-08_final
2018-07-30 09:19:58	ga_ls7e_ard_3-0-0_090086_2018-07-29_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_final
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-08-27 09:44:09	ga_ls7e_ard_3-0-0_094086_2018-08-27_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2018-09-03 09:50:11	ga_ls7e_ard_3-0-0_095086_2018-09-03_final
2018-09-05 09:37:46	ga_ls7e_ard_3-0-0_093086_2018-09-05_final
2018-09-05 09:38:10	ga_ls7e_ard_3-0-0_093087_2018-09-05_final
2019-07-17 09:09:29	ga_ls7e_ard_3-0-0_090086_2019-07-16_final
2019-09-26 09:12:40	ga_ls7e_ard_3-1-0_091086_2019-09-25_final
2019-09-26 09:13:04	ga_ls7e_ard_3-1-0_091087_2019-09-25_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