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
2013-08-26 09:09:07	ga_ls7e_ard_3-0-0_089083_2013-08-25_final
2014-10-16 09:11:42	ga_ls7e_ard_3-0-0_089083_2014-10-15_final
2014-11-17 09:11:57	ga_ls7e_ard_3-0-0_089083_2014-11-16_final
2015-08-16 09:13:33	ga_ls7e_ard_3-0-0_089083_2015-08-15_final
2015-10-19 09:13:59	ga_ls7e_ard_3-0-0_089083_2015-10-18_final
2015-11-20 09:14:30	ga_ls7e_ard_3-0-0_089083_2015-11-19_final
2015-12-06 09:14:43	ga_ls7e_ard_3-0-0_089083_2015-12-05_final
2016-01-07 09:15:13	ga_ls7e_ard_3-0-0_089083_2016-01-06_final
2016-01-23 09:15:26	ga_ls7e_ard_3-0-0_089083_2016-01-22_final
2016-02-08 09:15:34	ga_ls7e_ard_3-0-0_089083_2016-02-07_final
2016-02-24 09:15:35	ga_ls7e_ard_3-0-0_089083_2016-02-23_final
2016-03-11 09:15:46	ga_ls7e_ard_3-0-0_089083_2016-03-10_final
2016-03-27 09:15:52	ga_ls7e_ard_3-0-0_089083_2016-03-26_final
2016-04-12 09:15:57	ga_ls7e_ard_3-0-0_089083_2016-04-11_final
2016-04-28 09:16:04	ga_ls7e_ard_3-0-0_089083_2016-04-27_final
2016-05-14 09:16:07	ga_ls7e_ard_3-0-0_089083_2016-05-13_final
2016-05-30 09:16:12	ga_ls7e_ard_3-0-0_089083_2016-05-29_final
2016-07-01 09:16:17	ga_ls7e_ard_3-0-0_089083_2016-06-30_final
2016-07-17 09:16:17	ga_ls7e_ard_3-0-0_089083_2016-07-16_final
2016-08-18 09:16:20	ga_ls7e_ard_3-0-0_089083_2016-08-17_final
2016-09-03 09:16:24	ga_ls7e_ard_3-0-0_089083_2016-09-02_final
2016-09-19 09:16:26	ga_ls7e_ard_3-0-0_089083_2016-09-18_final
2016-10-05 09:16:28	ga_ls7e_ard_3-0-0_089083_2016-10-04_final
2016-10-21 09:16:26	ga_ls7e_ard_3-0-0_089083_2016-10-20_final
2016-11-06 09:16:20	ga_ls7e_ard_3-0-0_089083_2016-11-05_final
2016-11-22 09:16:14	ga_ls7e_ard_3-0-0_089083_2016-11-21_final
2016-12-08 09:16:11	ga_ls7e_ard_3-0-0_089083_2016-12-07_final
2016-12-24 09:16:05	ga_ls7e_ard_3-0-0_089083_2016-12-23_final
2017-02-10 09:15:37	ga_ls7e_ard_3-0-0_089083_2017-02-09_final
2017-02-26 09:15:46	ga_ls7e_ard_3-0-0_089083_2017-02-25_final
2017-03-14 09:15:53	ga_ls7e_ard_3-0-0_089083_2017-03-13_final
2017-04-15 09:16:03	ga_ls7e_ard_3-0-0_089083_2017-04-14_final
2017-05-01 09:16:09	ga_ls7e_ard_3-0-0_089083_2017-04-30_final
2017-05-17 09:16:12	ga_ls7e_ard_3-0-0_089083_2017-05-16_final
2017-06-02 09:16:16	ga_ls7e_ard_3-0-0_089083_2017-06-01_final
2017-06-18 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-06-17_final
2017-07-04 09:16:22	ga_ls7e_ard_3-0-0_089083_2017-07-03_final
2017-07-20 09:16:22	ga_ls7e_ard_3-0-0_089083_2017-07-19_final
2017-08-05 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-08-04_final
2017-09-06 09:16:19	ga_ls7e_ard_3-0-0_089083_2017-09-05_final
2017-09-22 09:16:17	ga_ls7e_ard_3-0-0_089083_2017-09-21_final
2017-10-08 09:16:19	ga_ls7e_ard_3-0-0_089083_2017-10-07_final
2017-10-24 09:16:21	ga_ls7e_ard_3-0-0_089083_2017-10-23_final
2017-11-09 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-11-08_final
2017-11-25 09:16:15	ga_ls7e_ard_3-0-0_089083_2017-11-24_final
2017-12-11 09:16:07	ga_ls7e_ard_3-0-0_089083_2017-12-10_final
2017-12-27 09:15:57	ga_ls7e_ard_3-0-0_089083_2017-12-26_final
2018-01-12 09:15:44	ga_ls7e_ard_3-0-0_089083_2018-01-11_final
2018-01-28 09:15:28	ga_ls7e_ard_3-0-0_089083_2018-01-27_final
2018-02-13 09:15:15	ga_ls7e_ard_3-0-0_089083_2018-02-12_final
2018-03-01 09:15:05	ga_ls7e_ard_3-0-0_089083_2018-02-28_final
2018-03-17 09:14:54	ga_ls7e_ard_3-0-0_089083_2018-03-16_final
2018-04-02 09:14:40	ga_ls7e_ard_3-0-0_089083_2018-04-01_final
2018-05-04 09:14:07	ga_ls7e_ard_3-0-0_089083_2018-05-03_final
2018-05-20 09:13:52	ga_ls7e_ard_3-0-0_089083_2018-05-19_final
2018-07-07 09:12:59	ga_ls7e_ard_3-0-0_089083_2018-07-06_final
2018-07-23 09:12:42	ga_ls7e_ard_3-0-0_089083_2018-07-22_final
2018-08-08 09:12:25	ga_ls7e_ard_3-0-0_089083_2018-08-07_final
2018-08-24 09:12:06	ga_ls7e_ard_3-0-0_089083_2018-08-23_final
2018-09-09 09:11:46	ga_ls7e_ard_3-0-0_089083_2018-09-08_final
2018-09-25 09:11:24	ga_ls7e_ard_3-0-0_089083_2018-09-24_final
2018-10-27 09:10:39	ga_ls7e_ard_3-0-0_089083_2018-10-26_final
2018-11-12 09:10:18	ga_ls7e_ard_3-0-0_089083_2018-11-11_final
2018-12-30 09:09:00	ga_ls7e_ard_3-0-0_089083_2018-12-29_final
2019-01-15 09:08:30	ga_ls7e_ard_3-0-0_089083_2019-01-14_final
2019-01-31 09:07:59	ga_ls7e_ard_3-0-0_089083_2019-01-30_final
2019-02-16 09:07:31	ga_ls7e_ard_3-1-0_089083_2019-02-15_final
2019-03-04 09:07:01	ga_ls7e_ard_3-1-0_089083_2019-03-03_final
2019-03-20 09:06:30	ga_ls7e_ard_3-1-0_089083_2019-03-19_final
2019-04-21 09:05:23	ga_ls7e_ard_3-0-0_089083_2019-04-20_final
2019-05-07 09:04:46	ga_ls7e_ard_3-0-0_089083_2019-05-06_final
2019-05-23 09:04:09	ga_ls7e_ard_3-0-0_089083_2019-05-22_final
2019-07-10 09:02:23	ga_ls7e_ard_3-0-0_089083_2019-07-09_final
2019-07-26 09:01:45	ga_ls7e_ard_3-0-0_089083_2019-07-25_final
2019-08-11 09:01:06	ga_ls7e_ard_3-0-0_089083_2019-08-10_final
2019-08-27 09:00:26	ga_ls7e_ard_3-1-0_089083_2019-08-26_final
2019-09-12 08:59:44	ga_ls7e_ard_3-1-0_089083_2019-09-11_final
2019-09-28 08:59:02	ga_ls7e_ard_3-1-0_089083_2019-09-27_final
2019-10-30 08:57:41	ga_ls7e_ard_3-1-0_089083_2019-10-29_final
2019-11-15 08:56:57	ga_ls7e_ard_3-1-0_089083_2019-11-14_final
2019-12-17 08:55:23	ga_ls7e_ard_3-1-0_089083_2019-12-16_final
2020-02-19 08:52:08	ga_ls7e_ard_3-1-0_089083_2020-02-18_final
2020-03-06 08:51:17	ga_ls7e_ard_3-1-0_089083_2020-03-05_final
2020-03-22 08:50:24	ga_ls7e_ard_3-1-0_089083_2020-03-21_final
2020-04-23 08:48:34	ga_ls7e_ard_3-1-0_089083_2020-04-22_final
2020-05-09 08:47:36	ga_ls7e_ard_3-1-0_089083_2020-05-08_final
2020-06-26 08:44:45	ga_ls7e_ard_3-1-0_089083_2020-06-25_final
2020-07-12 08:43:47	ga_ls7e_ard_3-1-0_089083_2020-07-11_final
2020-08-13 08:41:47	ga_ls7e_ard_3-1-0_089083_2020-08-12_final
2020-08-29 08:40:45	ga_ls7e_ard_3-1-0_089083_2020-08-28_final
2020-09-14 08:39:42	ga_ls7e_ard_3-1-0_089083_2020-09-13_final
2020-09-30 08:38:40	ga_ls7e_ard_3-1-0_089083_2020-09-29_final
2020-11-01 08:36:35	ga_ls7e_ard_3-1-0_089083_2020-10-31_final
2020-11-17 08:35:29	ga_ls7e_ard_3-1-0_089083_2020-11-16_final
2021-01-04 08:32:00	ga_ls7e_ard_3-1-0_089083_2021-01-03_final
2021-02-05 08:29:42	ga_ls7e_ard_3-2-0_089083_2021-02-04_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-03-09 08:27:15	ga_ls7e_ard_3-2-0_089083_2021-03-08_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-04-10 08:24:40	ga_ls7e_ard_3-2-0_089083_2021-04-09_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