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
2014-07-07 10:29:59	ga_ls7e_ard_3-0-0_102079_2014-07-07_final
2014-07-23 10:30:02	ga_ls7e_ard_3-0-0_102079_2014-07-23_final
2014-08-08 10:30:07	ga_ls7e_ard_3-0-0_102079_2014-08-08_final
2014-08-24 10:30:05	ga_ls7e_ard_3-0-0_102079_2014-08-24_final
2014-09-09 10:30:06	ga_ls7e_ard_3-0-0_102079_2014-09-09_final
2014-09-25 10:30:13	ga_ls7e_ard_3-0-0_102079_2014-09-25_final
2014-10-11 10:30:25	ga_ls7e_ard_3-0-0_102079_2014-10-11_final
2014-10-27 10:30:34	ga_ls7e_ard_3-0-0_102079_2014-10-27_final
2014-11-12 10:30:43	ga_ls7e_ard_3-0-0_102079_2014-11-12_final
2014-11-28 10:30:47	ga_ls7e_ard_3-0-0_102079_2014-11-28_final
2014-12-30 10:30:57	ga_ls7e_ard_3-0-0_102079_2014-12-30_final
2015-01-31 10:31:07	ga_ls7e_ard_3-0-0_102079_2015-01-31_final
2015-02-16 10:31:10	ga_ls7e_ard_3-0-0_102079_2015-02-16_final
2015-03-04 10:31:20	ga_ls7e_ard_3-0-0_102079_2015-03-04_final
2015-03-20 10:31:28	ga_ls7e_ard_3-0-0_102079_2015-03-20_final
2015-04-05 10:31:35	ga_ls7e_ard_3-0-0_102079_2015-04-05_final
2015-04-21 10:31:41	ga_ls7e_ard_3-0-0_102079_2015-04-21_final
2015-05-07 10:31:48	ga_ls7e_ard_3-0-0_102079_2015-05-07_final
2015-06-08 10:32:02	ga_ls7e_ard_3-0-0_102079_2015-06-08_final
2015-07-26 10:32:13	ga_ls7e_ard_3-0-0_102079_2015-07-26_final
2015-08-11 10:32:17	ga_ls7e_ard_3-0-0_102079_2015-08-11_final
2015-08-27 10:32:18	ga_ls7e_ard_3-0-0_102079_2015-08-27_final
2015-10-30 10:32:53	ga_ls7e_ard_3-0-0_102079_2015-10-30_final
2015-11-15 10:33:10	ga_ls7e_ard_3-0-0_102079_2015-11-15_final
2015-12-01 10:33:22	ga_ls7e_ard_3-0-0_102079_2015-12-01_final
2015-12-17 10:33:40	ga_ls7e_ard_3-0-0_102079_2015-12-17_final
2016-01-18 10:34:07	ga_ls7e_ard_3-0-0_102079_2016-01-18_final
2016-02-03 10:34:17	ga_ls7e_ard_3-0-0_102079_2016-02-03_final
2016-03-06 10:34:28	ga_ls7e_ard_3-0-0_102079_2016-03-06_final
2016-03-22 10:34:35	ga_ls7e_ard_3-0-0_102079_2016-03-22_final
2016-04-23 10:34:47	ga_ls7e_ard_3-0-0_102079_2016-04-23_final
2016-05-09 10:34:51	ga_ls7e_ard_3-0-0_102079_2016-05-09_final
2016-05-25 10:34:55	ga_ls7e_ard_3-0-0_102079_2016-05-25_final
2016-06-26 10:35:01	ga_ls7e_ard_3-0-0_102079_2016-06-26_final
2016-07-12 10:35:00	ga_ls7e_ard_3-0-0_102079_2016-07-12_final
2016-07-28 10:35:04	ga_ls7e_ard_3-0-0_102079_2016-07-28_final
2016-08-13 10:35:05	ga_ls7e_ard_3-0-0_102079_2016-08-13_final
2016-09-14 10:35:10	ga_ls7e_ard_3-0-0_102079_2016-09-14_final
2016-09-30 10:35:13	ga_ls7e_ard_3-0-0_102079_2016-09-30_final
2016-10-16 10:35:12	ga_ls7e_ard_3-0-0_102079_2016-10-16_final
2016-11-01 10:35:07	ga_ls7e_ard_3-0-0_102079_2016-11-01_final
2016-11-17 10:34:59	ga_ls7e_ard_3-0-0_102079_2016-11-17_final
2016-12-19 10:34:52	ga_ls7e_ard_3-0-0_102079_2016-12-19_final
2017-01-04 10:34:43	ga_ls7e_ard_3-0-0_102079_2017-01-04_final
2017-02-05 10:34:26	ga_ls7e_ard_3-0-0_102079_2017-02-05_final
2017-02-21 10:34:28	ga_ls7e_ard_3-0-0_102079_2017-02-21_final
2017-03-09 10:34:36	ga_ls7e_ard_3-0-0_102079_2017-03-09_final
2017-03-25 10:34:41	ga_ls7e_ard_3-0-0_102079_2017-03-25_final
2017-04-10 10:34:46	ga_ls7e_ard_3-0-0_102079_2017-04-10_final
2017-04-26 10:34:52	ga_ls7e_ard_3-0-0_102079_2017-04-26_final
2017-05-12 10:34:56	ga_ls7e_ard_3-0-0_102079_2017-05-12_final
2017-05-28 10:34:59	ga_ls7e_ard_3-0-0_102079_2017-05-28_final
2017-06-13 10:35:04	ga_ls7e_ard_3-0-0_102079_2017-06-13_final
2017-06-29 10:35:06	ga_ls7e_ard_3-0-0_102079_2017-06-29_final
2017-07-15 10:35:07	ga_ls7e_ard_3-0-0_102079_2017-07-15_final
2017-07-31 10:35:06	ga_ls7e_ard_3-0-0_102079_2017-07-31_final
2017-08-16 10:35:04	ga_ls7e_ard_3-0-0_102079_2017-08-16_final
2017-09-01 10:35:04	ga_ls7e_ard_3-0-0_102079_2017-09-01_final
2017-09-17 10:35:02	ga_ls7e_ard_3-0-0_102079_2017-09-17_final
2017-10-03 10:35:03	ga_ls7e_ard_3-0-0_102079_2017-10-03_final
2017-10-19 10:35:06	ga_ls7e_ard_3-0-0_102079_2017-10-19_final
2017-11-04 10:35:05	ga_ls7e_ard_3-0-0_102079_2017-11-04_final
2017-11-20 10:35:02	ga_ls7e_ard_3-0-0_102079_2017-11-20_final
2017-12-06 10:34:55	ga_ls7e_ard_3-0-0_102079_2017-12-06_final
2017-12-22 10:34:45	ga_ls7e_ard_3-0-0_102079_2017-12-22_final
2018-01-07 10:34:33	ga_ls7e_ard_3-0-0_102079_2018-01-07_final
2018-01-23 10:34:18	ga_ls7e_ard_3-0-0_102079_2018-01-23_final
2018-02-08 10:34:02	ga_ls7e_ard_3-0-0_102079_2018-02-08_final
2018-02-24 10:33:53	ga_ls7e_ard_3-0-0_102079_2018-02-24_final
2018-03-12 10:33:42	ga_ls7e_ard_3-0-0_102079_2018-03-12_final
2018-03-28 10:33:29	ga_ls7e_ard_3-0-0_102079_2018-03-28_final
2018-04-13 10:33:14	ga_ls7e_ard_3-0-0_102079_2018-04-13_final
2018-04-29 10:32:57	ga_ls7e_ard_3-0-0_102079_2018-04-29_final
2018-05-15 10:32:41	ga_ls7e_ard_3-0-0_102079_2018-05-15_final
2018-05-31 10:32:26	ga_ls7e_ard_3-0-0_102079_2018-05-31_final
2018-06-16 10:32:09	ga_ls7e_ard_3-0-0_102079_2018-06-16_final
2018-07-02 10:31:50	ga_ls7e_ard_3-0-0_102079_2018-07-02_final
2018-07-18 10:31:32	ga_ls7e_ard_3-0-0_102079_2018-07-18_final
2018-08-03 10:31:15	ga_ls7e_ard_3-0-0_102079_2018-08-03_final
2018-08-19 10:30:57	ga_ls7e_ard_3-0-0_102079_2018-08-19_final
2018-09-04 10:30:37	ga_ls7e_ard_3-0-0_102079_2018-09-04_final
2018-09-20 10:30:16	ga_ls7e_ard_3-0-0_102079_2018-09-20_final
2020-01-29 10:11:57	ga_ls7e_ard_3-1-0_102079_2020-01-29_final
2020-04-18 10:07:36	ga_ls7e_ard_3-1-0_102079_2020-04-18_final
2020-05-20 10:05:40	ga_ls7e_ard_3-1-0_102079_2020-05-20_final
2020-07-07 10:02:49	ga_ls7e_ard_3-1-0_102079_2020-07-07_final
2021-03-20 09:45:07	ga_ls7e_ard_3-2-0_102079_2021-03-20_final
2021-07-10 09:35:47	ga_ls7e_ard_3-2-0_102079_2021-07-10_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-09-28 09:28:46	ga_ls7e_ard_3-2-0_102079_2021-09-27_final
2021-10-14 09:27:22	ga_ls7e_ard_3-2-0_102079_2021-10-13_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-11-15 09:24:22	ga_ls7e_ard_3-2-1_102079_2021-11-14_final
2021-12-01 09:22:50	ga_ls7e_ard_3-2-1_102079_2021-11-30_final
2021-12-17 09:21:19	ga_ls7e_ard_3-2-1_102079_2021-12-16_final
2022-01-02 09:19:43	ga_ls7e_ard_3-2-1_102079_2022-01-01_final
2022-02-03 09:16:38	ga_ls7e_ard_3-2-1_102079_2022-02-02_final
2022-02-19 09:15:00	ga_ls7e_ard_3-2-1_102079_2022-02-18_final
2022-03-07 09:13:28	ga_ls7e_ard_3-2-1_102079_2022-03-06_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