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
2015-01-20 10:49:56	ga_ls7e_ard_3-1-0_105080_2015-01-20_final
2015-02-05 10:50:05	ga_ls7e_ard_3-1-0_105080_2015-02-05_final
2015-02-21 10:50:11	ga_ls7e_ard_3-1-0_105080_2015-02-21_final
2015-03-09 10:50:17	ga_ls7e_ard_3-1-0_105080_2015-03-09_final
2015-03-25 10:50:27	ga_ls7e_ard_3-1-0_105080_2015-03-25_final
2015-05-12 10:50:49	ga_ls7e_ard_3-1-0_105080_2015-05-12_final
2015-06-13 10:51:00	ga_ls7e_ard_3-1-0_105080_2015-06-13_final
2015-06-29 10:51:02	ga_ls7e_ard_3-1-0_105080_2015-06-29_final
2015-07-31 10:51:10	ga_ls7e_ard_3-1-0_105080_2015-07-31_final
2015-08-16 10:51:14	ga_ls7e_ard_3-1-0_105080_2015-08-16_final
2015-09-01 10:51:14	ga_ls7e_ard_3-1-0_105080_2015-09-01_final
2015-09-17 10:51:20	ga_ls7e_ard_3-1-0_105080_2015-09-17_final
2015-10-03 10:51:20	ga_ls7e_ard_3-1-0_105080_2015-10-03_final
2015-10-19 10:51:40	ga_ls7e_ard_3-1-0_105080_2015-10-19_final
2015-12-06 10:52:24	ga_ls7e_ard_3-1-0_105080_2015-12-06_final
2015-12-22 10:52:40	ga_ls7e_ard_3-1-0_105080_2015-12-22_final
2016-01-07 10:52:54	ga_ls7e_ard_3-1-0_105080_2016-01-07_final
2016-01-23 10:53:07	ga_ls7e_ard_3-1-0_105080_2016-01-23_final
2016-02-08 10:53:15	ga_ls7e_ard_3-1-0_105080_2016-02-08_final
2016-04-12 10:53:38	ga_ls7e_ard_3-1-0_105080_2016-04-12_final
2016-04-28 10:53:45	ga_ls7e_ard_3-1-0_105080_2016-04-28_final
2016-05-30 10:53:53	ga_ls7e_ard_3-1-0_105080_2016-05-30_final
2016-06-15 10:53:57	ga_ls7e_ard_3-1-0_105080_2016-06-15_final
2016-07-01 10:53:58	ga_ls7e_ard_3-1-0_105080_2016-07-01_final
2016-07-17 10:53:58	ga_ls7e_ard_3-1-0_105080_2016-07-17_final
2016-08-02 10:54:01	ga_ls7e_ard_3-1-0_105080_2016-08-02_final
2016-08-18 10:54:01	ga_ls7e_ard_3-1-0_105080_2016-08-18_final
2016-09-03 10:54:05	ga_ls7e_ard_3-1-0_105080_2016-09-03_final
2016-10-05 10:54:09	ga_ls7e_ard_3-1-0_105080_2016-10-05_final
2016-10-21 10:54:07	ga_ls7e_ard_3-1-0_105080_2016-10-21_final
2016-11-06 10:54:01	ga_ls7e_ard_3-1-0_105080_2016-11-06_final
2016-11-22 10:53:56	ga_ls7e_ard_3-1-0_105080_2016-11-22_final
2016-12-24 10:53:46	ga_ls7e_ard_3-1-0_105080_2016-12-24_final
2017-01-25 10:53:26	ga_ls7e_ard_3-1-0_105080_2017-01-25_final
2017-02-26 10:53:27	ga_ls7e_ard_3-1-0_105080_2017-02-26_final
2017-03-14 10:53:34	ga_ls7e_ard_3-1-0_105080_2017-03-14_final
2017-04-15 10:53:44	ga_ls7e_ard_3-1-0_105080_2017-04-15_final
2017-05-01 10:53:50	ga_ls7e_ard_3-1-0_105080_2017-05-01_final
2017-05-17 10:53:53	ga_ls7e_ard_3-1-0_105080_2017-05-17_final
2017-06-02 10:53:57	ga_ls7e_ard_3-1-0_105080_2017-06-02_final
2017-06-18 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-06-18_final
2017-07-04 10:54:03	ga_ls7e_ard_3-1-0_105080_2017-07-04_final
2017-07-20 10:54:03	ga_ls7e_ard_3-1-0_105080_2017-07-20_final
2017-08-05 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-08-05_final
2017-09-06 10:54:00	ga_ls7e_ard_3-1-0_105080_2017-09-06_final
2017-09-22 10:53:59	ga_ls7e_ard_3-1-0_105080_2017-09-22_final
2017-10-08 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-10-08_final
2017-10-24 10:54:02	ga_ls7e_ard_3-1-0_105080_2017-10-24_final
2017-11-25 10:53:56	ga_ls7e_ard_3-1-0_105080_2017-11-25_final
2017-12-11 10:53:48	ga_ls7e_ard_3-1-0_105080_2017-12-11_final
2018-01-28 10:53:09	ga_ls7e_ard_3-1-0_105080_2018-01-28_final
2018-02-13 10:52:56	ga_ls7e_ard_3-1-0_105080_2018-02-13_final
2018-03-01 10:52:46	ga_ls7e_ard_3-1-0_105080_2018-03-01_final
2018-03-17 10:52:35	ga_ls7e_ard_3-1-0_105080_2018-03-17_final
2018-04-02 10:52:21	ga_ls7e_ard_3-1-0_105080_2018-04-02_final
2018-04-18 10:52:06	ga_ls7e_ard_3-1-0_105080_2018-04-18_final
2018-05-04 10:51:48	ga_ls7e_ard_3-1-0_105080_2018-05-04_final
2018-05-20 10:51:33	ga_ls7e_ard_3-1-0_105080_2018-05-20_final
2018-06-05 10:51:17	ga_ls7e_ard_3-1-0_105080_2018-06-05_final
2018-06-21 10:51:00	ga_ls7e_ard_3-1-0_105080_2018-06-21_final
2018-07-07 10:50:40	ga_ls7e_ard_3-1-0_105080_2018-07-07_final
2018-07-23 10:50:23	ga_ls7e_ard_3-1-0_105080_2018-07-23_final
2018-08-08 10:50:06	ga_ls7e_ard_3-1-0_105080_2018-08-08_final
2018-09-09 10:49:27	ga_ls7e_ard_3-1-0_105080_2018-09-09_final
2018-09-25 10:49:05	ga_ls7e_ard_3-1-0_105080_2018-09-25_final
2018-10-11 10:48:42	ga_ls7e_ard_3-1-0_105080_2018-10-11_final
2018-10-27 10:48:20	ga_ls7e_ard_3-1-0_105080_2018-10-27_final
2018-11-12 10:47:59	ga_ls7e_ard_3-1-0_105080_2018-11-12_final
2018-11-28 10:47:35	ga_ls7e_ard_3-1-0_105080_2018-11-28_final
2018-12-14 10:47:09	ga_ls7e_ard_3-1-0_105080_2018-12-14_final
2018-12-30 10:46:41	ga_ls7e_ard_3-1-0_105080_2018-12-30_final
2019-01-15 10:46:11	ga_ls7e_ard_3-1-0_105080_2019-01-15_final
2019-01-31 10:45:40	ga_ls7e_ard_3-1-0_105080_2019-01-31_final
2019-02-16 10:45:12	ga_ls7e_ard_3-1-0_105080_2019-02-16_final
2019-03-04 10:44:42	ga_ls7e_ard_3-1-0_105080_2019-03-04_final
2019-03-20 10:44:11	ga_ls7e_ard_3-1-0_105080_2019-03-20_final
2019-04-05 10:43:38	ga_ls7e_ard_3-1-0_105080_2019-04-05_final
2019-04-21 10:43:04	ga_ls7e_ard_3-1-0_105080_2019-04-21_final
2019-05-07 10:42:27	ga_ls7e_ard_3-1-0_105080_2019-05-07_final
2019-05-23 10:41:50	ga_ls7e_ard_3-1-0_105080_2019-05-23_final
2019-06-24 10:40:41	ga_ls7e_ard_3-1-0_105080_2019-06-24_final
2019-07-10 10:40:04	ga_ls7e_ard_3-1-0_105080_2019-07-10_final
2019-07-26 10:39:26	ga_ls7e_ard_3-1-0_105080_2019-07-26_final
2019-08-11 10:38:47	ga_ls7e_ard_3-1-0_105080_2019-08-11_final
2019-08-27 10:38:07	ga_ls7e_ard_3-1-0_105080_2019-08-27_final
2019-09-12 10:37:25	ga_ls7e_ard_3-1-0_105080_2019-09-12_final
2019-09-28 10:36:43	ga_ls7e_ard_3-1-0_105080_2019-09-28_final
2019-10-30 10:35:22	ga_ls7e_ard_3-1-0_105080_2019-10-30_final
2019-11-15 10:34:38	ga_ls7e_ard_3-1-0_105080_2019-11-15_final
2019-12-17 10:33:04	ga_ls7e_ard_3-1-0_105080_2019-12-17_final
2020-01-02 10:32:15	ga_ls7e_ard_3-1-0_105080_2020-01-02_final
2020-03-06 10:28:58	ga_ls7e_ard_3-1-0_105080_2020-03-06_final
2020-04-23 10:26:15	ga_ls7e_ard_3-1-0_105080_2020-04-23_final
2020-05-09 10:25:17	ga_ls7e_ard_3-1-0_105080_2020-05-09_final
2020-06-10 10:23:22	ga_ls7e_ard_3-1-0_105080_2020-06-10_final
2020-06-26 10:22:25	ga_ls7e_ard_3-1-0_105080_2020-06-26_final
2020-09-14 10:17:23	ga_ls7e_ard_3-1-0_105080_2020-09-14_final
2020-09-30 10:16:20	ga_ls7e_ard_3-1-0_105080_2020-09-30_final
2020-11-01 10:14:15	ga_ls7e_ard_3-1-0_105080_2020-11-01_final
2020-11-17 10:13:10	ga_ls7e_ard_3-1-0_105080_2020-11-17_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