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
2014-06-10 09:09:07	ga_ls7e_ard_3-0-0_089078_2014-06-09_final
2015-05-12 09:11:08	ga_ls7e_ard_3-0-0_089078_2015-05-11_final
2015-06-29 09:11:21	ga_ls7e_ard_3-0-0_089078_2015-06-28_final
2015-08-16 09:11:34	ga_ls7e_ard_3-0-0_089078_2015-08-15_final
2015-09-01 09:11:33	ga_ls7e_ard_3-0-0_089078_2015-08-31_final
2015-10-03 09:11:39	ga_ls7e_ard_3-0-0_089078_2015-10-02_final
2015-10-19 09:11:59	ga_ls7e_ard_3-0-0_089078_2015-10-18_final
2015-11-20 09:12:30	ga_ls7e_ard_3-0-0_089078_2015-11-19_final
2016-01-07 09:13:13	ga_ls7e_ard_3-0-0_089078_2016-01-06_final
2016-02-08 09:13:34	ga_ls7e_ard_3-0-0_089078_2016-02-07_final
2016-04-12 09:13:57	ga_ls7e_ard_3-0-0_089078_2016-04-11_final
2016-05-30 09:14:12	ga_ls7e_ard_3-0-0_089078_2016-05-29_final
2016-08-18 09:14:20	ga_ls7e_ard_3-0-0_089078_2016-08-17_final
2016-10-05 09:14:28	ga_ls7e_ard_3-0-0_089078_2016-10-04_final
2016-10-21 09:14:26	ga_ls7e_ard_3-0-0_089078_2016-10-20_final
2016-11-06 09:14:20	ga_ls7e_ard_3-0-0_089078_2016-11-05_final
2016-11-22 09:14:15	ga_ls7e_ard_3-0-0_089078_2016-11-21_final
2016-12-24 09:14:06	ga_ls7e_ard_3-0-0_089078_2016-12-23_final
2017-02-26 09:13:46	ga_ls7e_ard_3-0-0_089078_2017-02-25_final
2017-03-14 09:13:53	ga_ls7e_ard_3-0-0_089078_2017-03-13_final
2017-05-01 09:14:09	ga_ls7e_ard_3-0-0_089078_2017-04-30_final
2017-05-17 09:14:13	ga_ls7e_ard_3-0-0_089078_2017-05-16_final
2017-06-02 09:14:16	ga_ls7e_ard_3-0-0_089078_2017-06-01_final
2017-07-04 09:14:22	ga_ls7e_ard_3-0-0_089078_2017-07-03_final
2017-07-20 09:14:22	ga_ls7e_ard_3-0-0_089078_2017-07-19_final
2017-08-21 09:14:20	ga_ls7e_ard_3-0-0_089078_2017-08-20_final
2017-09-06 09:14:19	ga_ls7e_ard_3-0-0_089078_2017-09-05_final
2017-09-22 09:14:18	ga_ls7e_ard_3-0-0_089078_2017-09-21_final
2017-10-24 09:14:21	ga_ls7e_ard_3-0-0_089078_2017-10-23_final
2017-11-09 09:14:20	ga_ls7e_ard_3-0-0_089078_2017-11-08_final
2017-11-25 09:14:15	ga_ls7e_ard_3-0-0_089078_2017-11-24_final
2017-12-11 09:14:07	ga_ls7e_ard_3-0-0_089078_2017-12-10_final
2017-12-27 09:13:57	ga_ls7e_ard_3-0-0_089078_2017-12-26_final
2018-01-12 09:13:44	ga_ls7e_ard_3-0-0_089078_2018-01-11_final
2018-01-28 09:13:29	ga_ls7e_ard_3-0-0_089078_2018-01-27_final
2018-02-13 09:13:15	ga_ls7e_ard_3-0-0_089078_2018-02-12_final
2018-03-01 09:13:05	ga_ls7e_ard_3-0-0_089078_2018-02-28_final
2018-03-17 09:12:54	ga_ls7e_ard_3-0-0_089078_2018-03-16_final
2018-04-02 09:12:40	ga_ls7e_ard_3-0-0_089078_2018-04-01_final
2018-04-18 09:12:25	ga_ls7e_ard_3-0-0_089078_2018-04-17_final
2018-05-04 09:12:07	ga_ls7e_ard_3-0-0_089078_2018-05-03_final
2018-05-20 09:11:52	ga_ls7e_ard_3-0-0_089078_2018-05-19_final
2018-06-05 09:11:36	ga_ls7e_ard_3-0-0_089078_2018-06-04_final
2018-06-21 09:11:19	ga_ls7e_ard_3-0-0_089078_2018-06-20_final
2018-07-23 09:10:43	ga_ls7e_ard_3-0-0_089078_2018-07-22_final
2018-08-08 09:10:25	ga_ls7e_ard_3-0-0_089078_2018-08-07_final
2018-08-24 09:10:07	ga_ls7e_ard_3-0-0_089078_2018-08-23_final
2018-09-09 09:09:46	ga_ls7e_ard_3-0-0_089078_2018-09-08_final
2018-09-25 09:09:25	ga_ls7e_ard_3-0-0_089078_2018-09-24_final
2018-10-27 09:08:39	ga_ls7e_ard_3-0-0_089078_2018-10-26_final
2018-11-12 09:08:18	ga_ls7e_ard_3-0-0_089078_2018-11-11_final
2018-11-28 09:07:54	ga_ls7e_ard_3-0-0_089078_2018-11-27_final
2018-12-30 09:07:00	ga_ls7e_ard_3-0-0_089078_2018-12-29_final
2019-01-15 09:06:31	ga_ls7e_ard_3-0-0_089078_2019-01-14_final
2019-01-31 09:05:59	ga_ls7e_ard_3-0-0_089078_2019-01-30_final
2019-02-16 09:05:31	ga_ls7e_ard_3-1-0_089078_2019-02-15_final
2019-03-20 09:04:30	ga_ls7e_ard_3-1-0_089078_2019-03-19_final
2019-04-05 09:03:57	ga_ls7e_ard_3-0-0_089078_2019-04-04_final
2019-04-21 09:03:23	ga_ls7e_ard_3-0-0_089078_2019-04-20_final
2019-05-07 09:02:47	ga_ls7e_ard_3-0-0_089078_2019-05-06_final
2019-05-23 09:02:09	ga_ls7e_ard_3-0-0_089078_2019-05-22_final
2019-06-24 09:01:00	ga_ls7e_ard_3-0-0_089078_2019-06-23_final
2019-07-10 09:00:24	ga_ls7e_ard_3-0-0_089078_2019-07-09_final
2019-07-26 08:59:46	ga_ls7e_ard_3-0-0_089078_2019-07-25_final
2019-08-11 08:59:06	ga_ls7e_ard_3-0-0_089078_2019-08-10_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-09-12 08:57:44	ga_ls7e_ard_3-1-0_089078_2019-09-11_final
2019-09-28 08:57:02	ga_ls7e_ard_3-1-0_089078_2019-09-27_final
2019-11-15 08:54:57	ga_ls7e_ard_3-1-0_089078_2019-11-14_final
2019-12-01 08:54:12	ga_ls7e_ard_3-1-0_089078_2019-11-30_final
2019-12-17 08:53:24	ga_ls7e_ard_3-1-0_089078_2019-12-16_final
2020-01-02 08:52:34	ga_ls7e_ard_3-1-0_089078_2020-01-01_final
2020-01-18 08:51:46	ga_ls7e_ard_3-1-0_089078_2020-01-17_final
2020-02-03 08:50:58	ga_ls7e_ard_3-1-0_089078_2020-02-02_final
2020-02-19 08:50:08	ga_ls7e_ard_3-1-0_089078_2020-02-18_final
2020-03-22 08:48:24	ga_ls7e_ard_3-1-0_089078_2020-03-21_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-23 08:46:34	ga_ls7e_ard_3-1-0_089078_2020-04-22_final
2020-05-09 08:45:36	ga_ls7e_ard_3-1-0_089078_2020-05-08_final
2020-05-25 08:44:37	ga_ls7e_ard_3-1-0_089078_2020-05-24_final
2020-06-10 08:43:41	ga_ls7e_ard_3-1-0_089078_2020-06-09_final
2020-06-26 08:42:45	ga_ls7e_ard_3-1-0_089078_2020-06-25_final
2020-07-12 08:41:47	ga_ls7e_ard_3-1-0_089078_2020-07-11_final
2020-07-28 08:40:48	ga_ls7e_ard_3-1-0_089078_2020-07-27_final
2020-08-13 08:39:47	ga_ls7e_ard_3-1-0_089078_2020-08-12_final
2020-08-29 08:38:46	ga_ls7e_ard_3-1-0_089078_2020-08-28_final
2020-09-14 08:37:42	ga_ls7e_ard_3-1-0_089078_2020-09-13_final
2020-09-30 08:36:40	ga_ls7e_ard_3-1-0_089078_2020-09-29_final
2020-10-16 08:35:38	ga_ls7e_ard_3-1-0_089078_2020-10-15_final
2020-11-01 08:34:35	ga_ls7e_ard_3-1-0_089078_2020-10-31_final
2020-11-17 08:33:29	ga_ls7e_ard_3-1-0_089078_2020-11-16_final
2020-12-03 08:32:20	ga_ls7e_ard_3-1-0_089078_2020-12-02_final
2020-12-19 08:31:08	ga_ls7e_ard_3-1-0_089078_2020-12-18_final
2021-01-04 08:30:00	ga_ls7e_ard_3-1-0_089078_2021-01-03_final
2021-02-05 08:27:42	ga_ls7e_ard_3-2-0_089078_2021-02-04_final
2021-02-21 08:26:30	ga_ls7e_ard_3-2-0_089078_2021-02-20_final
2021-03-09 08:25:16	ga_ls7e_ard_3-2-0_089078_2021-03-08_final
2021-04-10 08:22:40	ga_ls7e_ard_3-2-0_089078_2021-04-09_final
2021-04-26 08:21:19	ga_ls7e_ard_3-2-0_089078_2021-04-25_final
2021-05-12 08:19:59	ga_ls7e_ard_3-2-0_089078_2021-05-11_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