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
2013-11-12 09:21:03	ga_ls7e_ard_3-0-0_091080_2013-11-11_final
2013-11-28 09:21:09	ga_ls7e_ard_3-0-0_091080_2013-11-27_final
2014-01-15 09:21:26	ga_ls7e_ard_3-0-0_091080_2014-01-14_final
2014-01-31 09:21:44	ga_ls7e_ard_3-0-0_091080_2014-01-30_final
2014-04-21 09:22:02	ga_ls7e_ard_3-0-0_091080_2014-04-20_final
2014-05-23 09:22:14	ga_ls7e_ard_3-0-0_091080_2014-05-22_final
2014-07-10 09:22:24	ga_ls7e_ard_3-0-0_091080_2014-07-09_final
2014-08-11 09:22:32	ga_ls7e_ard_3-0-0_091080_2014-08-10_final
2014-10-30 09:23:00	ga_ls7e_ard_3-0-0_091080_2014-10-29_final
2015-02-19 09:23:37	ga_ls7e_ard_3-0-0_091080_2015-02-18_final
2015-04-08 09:24:02	ga_ls7e_ard_3-0-0_091080_2015-04-07_final
2015-04-24 09:24:07	ga_ls7e_ard_3-0-0_091080_2015-04-23_final
2015-07-13 09:24:36	ga_ls7e_ard_3-0-0_091080_2015-07-12_final
2015-07-29 09:24:38	ga_ls7e_ard_3-0-0_091080_2015-07-28_final
2015-11-18 09:25:38	ga_ls7e_ard_3-0-0_091080_2015-11-17_final
2016-02-22 09:26:45	ga_ls7e_ard_3-0-0_091080_2016-02-21_final
2016-03-09 09:26:55	ga_ls7e_ard_3-0-0_091080_2016-03-08_final
2016-03-25 09:27:01	ga_ls7e_ard_3-0-0_091080_2016-03-24_final
2016-04-10 09:27:05	ga_ls7e_ard_3-0-0_091080_2016-04-09_final
2016-05-12 09:27:16	ga_ls7e_ard_3-0-0_091080_2016-05-11_final
2016-05-28 09:27:21	ga_ls7e_ard_3-0-0_091080_2016-05-27_final
2016-06-13 09:27:25	ga_ls7e_ard_3-0-0_091080_2016-06-12_final
2016-06-29 09:27:26	ga_ls7e_ard_3-0-0_091080_2016-06-28_final
2016-07-15 09:27:26	ga_ls7e_ard_3-0-0_091080_2016-07-14_final
2016-07-31 09:27:29	ga_ls7e_ard_3-0-0_091080_2016-07-30_final
2016-08-16 09:27:30	ga_ls7e_ard_3-0-0_091080_2016-08-15_final
2016-09-01 09:27:34	ga_ls7e_ard_3-0-0_091080_2016-08-31_final
2016-09-17 09:27:35	ga_ls7e_ard_3-0-0_091080_2016-09-16_final
2016-10-19 09:27:36	ga_ls7e_ard_3-0-0_091080_2016-10-18_final
2016-11-04 09:27:31	ga_ls7e_ard_3-0-0_091080_2016-11-03_final
2016-11-20 09:27:24	ga_ls7e_ard_3-0-0_091080_2016-11-19_final
2016-12-06 09:27:22	ga_ls7e_ard_3-0-0_091080_2016-12-05_final
2017-01-07 09:27:06	ga_ls7e_ard_3-0-0_091080_2017-01-06_final
2017-01-23 09:26:56	ga_ls7e_ard_3-0-0_091080_2017-01-22_final
2017-02-24 09:26:55	ga_ls7e_ard_3-0-0_091080_2017-02-23_final
2017-03-12 09:27:02	ga_ls7e_ard_3-0-0_091080_2017-03-11_final
2017-03-28 09:27:06	ga_ls7e_ard_3-0-0_091080_2017-03-27_final
2017-04-13 09:27:12	ga_ls7e_ard_3-0-0_091080_2017-04-12_final
2017-04-29 09:27:18	ga_ls7e_ard_3-0-0_091080_2017-04-28_final
2017-05-15 09:27:22	ga_ls7e_ard_3-0-0_091080_2017-05-14_final
2017-05-31 09:27:25	ga_ls7e_ard_3-0-0_091080_2017-05-30_final
2017-06-16 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-06-15_final
2017-07-02 09:27:32	ga_ls7e_ard_3-0-0_091080_2017-07-01_final
2017-07-18 09:27:32	ga_ls7e_ard_3-0-0_091080_2017-07-17_final
2017-08-03 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-08-02_final
2017-08-19 09:27:29	ga_ls7e_ard_3-0-0_091080_2017-08-18_final
2017-09-04 09:27:29	ga_ls7e_ard_3-0-0_091080_2017-09-03_final
2017-09-20 09:27:27	ga_ls7e_ard_3-0-0_091080_2017-09-19_final
2017-10-06 09:27:29	ga_ls7e_ard_3-0-0_091080_2017-10-05_final
2017-10-22 09:27:31	ga_ls7e_ard_3-0-0_091080_2017-10-21_final
2017-11-07 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-11-06_final
2017-11-23 09:27:25	ga_ls7e_ard_3-0-0_091080_2017-11-22_final
2017-12-09 09:27:18	ga_ls7e_ard_3-0-0_091080_2017-12-08_final
2018-01-10 09:26:55	ga_ls7e_ard_3-0-0_091080_2018-01-09_final
2018-01-26 09:26:40	ga_ls7e_ard_3-0-0_091080_2018-01-25_final
2018-02-11 09:26:26	ga_ls7e_ard_3-0-0_091080_2018-02-10_final
2018-02-27 09:26:16	ga_ls7e_ard_3-0-0_091080_2018-02-26_final
2018-03-15 09:26:05	ga_ls7e_ard_3-0-0_091080_2018-03-14_final
2018-03-31 09:25:51	ga_ls7e_ard_3-0-0_091080_2018-03-30_final
2018-04-16 09:25:36	ga_ls7e_ard_3-0-0_091080_2018-04-15_final
2018-05-02 09:25:19	ga_ls7e_ard_3-0-0_091080_2018-05-01_final
2018-05-18 09:25:03	ga_ls7e_ard_3-0-0_091080_2018-05-17_final
2018-06-03 09:24:48	ga_ls7e_ard_3-0-0_091080_2018-06-02_final
2018-10-09 09:22:14	ga_ls7e_ard_3-0-0_091080_2018-10-08_final
2018-12-12 09:20:41	ga_ls7e_ard_3-0-0_091080_2018-12-11_final
2019-03-18 09:17:44	ga_ls7e_ard_3-1-0_091080_2019-03-17_final
2019-04-03 09:17:11	ga_ls7e_ard_3-0-0_091080_2019-04-02_final
2019-05-21 09:15:23	ga_ls7e_ard_3-0-0_091080_2019-05-20_final
2019-06-06 09:14:49	ga_ls7e_ard_3-0-0_091080_2019-06-05_final
2019-09-26 09:10:16	ga_ls7e_ard_3-1-0_091080_2019-09-25_final
2019-11-13 09:08:12	ga_ls7e_ard_3-1-0_091080_2019-11-12_final
2019-11-29 09:07:27	ga_ls7e_ard_3-1-0_091080_2019-11-28_final
2020-03-20 09:01:40	ga_ls7e_ard_3-1-0_091080_2020-03-19_final
2020-04-05 09:00:46	ga_ls7e_ard_3-1-0_091080_2020-04-04_final
2020-04-21 08:59:51	ga_ls7e_ard_3-1-0_091080_2020-04-20_final
2020-12-17 08:44:26	ga_ls7e_ard_3-1-0_091080_2020-12-16_final
2021-01-02 08:43:18	ga_ls7e_ard_3-1-0_091080_2021-01-01_final
2021-02-03 08:41:01	ga_ls7e_ard_3-2-0_091080_2021-02-02_final
2021-02-19 08:39:49	ga_ls7e_ard_3-2-0_091080_2021-02-18_final
2021-03-07 08:38:35	ga_ls7e_ard_3-2-0_091080_2021-03-06_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-06-11 08:30:37	ga_ls7e_ard_3-2-0_091080_2021-06-10_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-08-14 08:25:09	ga_ls7e_ard_3-2-0_091080_2021-08-13_final
2021-08-30 08:23:45	ga_ls7e_ard_3-2-0_091080_2021-08-29_final
2021-09-15 08:22:21	ga_ls7e_ard_3-2-0_091080_2021-09-14_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-11-02 08:18:03	ga_ls7e_ard_3-2-0_091080_2021-11-01_final
2021-12-04 08:14:59	ga_ls7e_ard_3-2-1_091080_2021-12-03_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2022-01-05 08:11:50	ga_ls7e_ard_3-2-1_091080_2022-01-04_final
2022-01-21 08:10:20	ga_ls7e_ard_3-2-1_091080_2022-01-20_final
2022-02-06 08:08:45	ga_ls7e_ard_3-2-1_091080_2022-02-05_final
2022-02-22 08:07:08	ga_ls7e_ard_3-2-1_091080_2022-02-21_final
2022-03-10 08:05:35	ga_ls7e_ard_3-2-1_091080_2022-03-09_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years