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
2014-05-10 09:55:02	ga_ls7e_ard_3-0-0_096085_2014-05-10_final
2014-07-29 09:55:23	ga_ls7e_ard_3-0-0_096085_2014-07-29_final
2014-10-01 09:55:38	ga_ls7e_ard_3-0-0_096085_2014-10-01_final
2014-11-02 09:55:57	ga_ls7e_ard_3-0-0_096085_2014-11-02_final
2014-11-18 09:56:00	ga_ls7e_ard_3-0-0_096085_2014-11-18_final
2014-12-20 09:56:18	ga_ls7e_ard_3-0-0_096085_2014-12-20_final
2015-06-14 09:57:23	ga_ls7e_ard_3-0-0_096085_2015-06-14_final
2015-07-16 09:57:31	ga_ls7e_ard_3-0-0_096085_2015-07-16_final
2015-08-17 09:57:37	ga_ls7e_ard_3-0-0_096085_2015-08-17_final
2015-10-04 09:57:44	ga_ls7e_ard_3-0-0_096085_2015-10-04_final
2015-12-23 09:59:03	ga_ls7e_ard_3-0-0_096085_2015-12-23_final
2016-01-08 09:59:18	ga_ls7e_ard_3-0-0_096085_2016-01-08_final
2016-02-09 09:59:38	ga_ls7e_ard_3-0-0_096085_2016-02-09_final
2016-02-25 09:59:39	ga_ls7e_ard_3-0-0_096085_2016-02-25_final
2016-03-12 09:59:50	ga_ls7e_ard_3-0-0_096085_2016-03-12_final
2016-04-13 10:00:01	ga_ls7e_ard_3-0-0_096085_2016-04-13_final
2016-07-18 10:00:21	ga_ls7e_ard_3-0-0_096085_2016-07-18_final
2016-08-03 10:00:23	ga_ls7e_ard_3-0-0_096085_2016-08-03_final
2016-08-19 10:00:24	ga_ls7e_ard_3-0-0_096085_2016-08-19_final
2016-09-04 10:00:28	ga_ls7e_ard_3-0-0_096085_2016-09-04_final
2016-11-07 10:00:23	ga_ls7e_ard_3-0-0_096085_2016-11-07_final
2016-11-23 10:00:18	ga_ls7e_ard_3-0-0_096085_2016-11-23_final
2016-12-09 10:00:15	ga_ls7e_ard_3-0-0_096085_2016-12-09_final
2016-12-25 10:00:08	ga_ls7e_ard_3-0-0_096085_2016-12-25_final
2017-01-10 09:59:58	ga_ls7e_ard_3-0-0_096085_2017-01-10_final
2017-01-26 09:59:48	ga_ls7e_ard_3-0-0_096085_2017-01-26_final
2017-02-11 09:59:41	ga_ls7e_ard_3-0-0_096085_2017-02-11_final
2017-02-27 09:59:50	ga_ls7e_ard_3-0-0_096085_2017-02-27_final
2017-03-15 09:59:57	ga_ls7e_ard_3-0-0_096085_2017-03-15_final
2017-04-16 10:00:07	ga_ls7e_ard_3-0-0_096085_2017-04-16_final
2017-05-02 10:00:13	ga_ls7e_ard_3-0-0_096085_2017-05-02_final
2017-05-18 10:00:16	ga_ls7e_ard_3-0-0_096085_2017-05-18_final
2017-06-03 10:00:20	ga_ls7e_ard_3-0-0_096085_2017-06-03_final
2017-06-19 10:00:24	ga_ls7e_ard_3-0-0_096085_2017-06-19_final
2017-07-05 10:00:26	ga_ls7e_ard_3-0-0_096085_2017-07-05_final
2017-07-21 10:00:26	ga_ls7e_ard_3-0-0_096085_2017-07-21_final
2017-08-06 10:00:24	ga_ls7e_ard_3-0-0_096085_2017-08-06_final
2017-09-07 10:00:23	ga_ls7e_ard_3-0-0_096085_2017-09-07_final
2017-09-23 10:00:21	ga_ls7e_ard_3-0-0_096085_2017-09-23_final
2017-10-09 10:00:23	ga_ls7e_ard_3-0-0_096085_2017-10-09_final
2017-10-25 10:00:25	ga_ls7e_ard_3-0-0_096085_2017-10-25_final
2017-11-10 10:00:23	ga_ls7e_ard_3-0-0_096085_2017-11-10_final
2017-12-12 10:00:10	ga_ls7e_ard_3-0-0_096085_2017-12-12_final
2018-01-29 09:59:31	ga_ls7e_ard_3-0-0_096085_2018-01-29_final
2018-02-14 09:59:18	ga_ls7e_ard_3-0-0_096085_2018-02-14_final
2018-03-18 09:58:56	ga_ls7e_ard_3-0-0_096085_2018-03-18_final
2018-04-03 09:58:43	ga_ls7e_ard_3-0-0_096085_2018-04-03_final
2018-04-19 09:58:27	ga_ls7e_ard_3-0-0_096085_2018-04-19_final
2018-05-05 09:58:09	ga_ls7e_ard_3-0-0_096085_2018-05-05_final
2018-06-06 09:57:39	ga_ls7e_ard_3-0-0_096085_2018-06-06_final
2018-06-22 09:57:21	ga_ls7e_ard_3-0-0_096085_2018-06-22_final
2018-07-08 09:57:01	ga_ls7e_ard_3-0-0_096085_2018-07-08_final
2018-07-24 09:56:45	ga_ls7e_ard_3-0-0_096085_2018-07-24_final
2018-08-09 09:56:27	ga_ls7e_ard_3-0-0_096085_2018-08-09_final
2018-08-25 09:56:09	ga_ls7e_ard_3-0-0_096085_2018-08-25_final
2018-09-10 09:55:48	ga_ls7e_ard_3-0-0_096085_2018-09-10_final
2018-09-26 09:55:26	ga_ls7e_ard_3-0-0_096085_2018-09-26_final
2018-10-12 09:55:03	ga_ls7e_ard_3-0-0_096085_2018-10-12_final
2018-10-28 09:54:41	ga_ls7e_ard_3-0-0_096085_2018-10-28_final
2018-11-29 09:53:56	ga_ls7e_ard_3-0-0_096085_2018-11-29_final
2018-12-15 09:53:30	ga_ls7e_ard_3-0-0_096085_2018-12-15_final
2018-12-31 09:53:02	ga_ls7e_ard_3-0-0_096085_2018-12-31_final
2019-01-16 09:52:32	ga_ls7e_ard_3-0-0_096085_2019-01-16_final
2019-02-01 09:52:01	ga_ls7e_ard_3-0-0_096085_2019-02-01_final
2019-02-17 09:51:33	ga_ls7e_ard_3-1-0_096085_2019-02-17_final
2019-03-05 09:51:03	ga_ls7e_ard_3-1-0_096085_2019-03-05_final
2019-03-21 09:50:32	ga_ls7e_ard_3-1-0_096085_2019-03-21_final
2019-04-22 09:49:24	ga_ls7e_ard_3-0-0_096085_2019-04-22_final
2019-05-08 09:48:48	ga_ls7e_ard_3-0-0_096085_2019-05-08_final
2019-05-24 09:48:10	ga_ls7e_ard_3-0-0_096085_2019-05-24_final
2019-06-25 09:47:01	ga_ls7e_ard_3-0-0_096085_2019-06-25_final
2019-07-11 09:46:24	ga_ls7e_ard_3-0-0_096085_2019-07-11_final
2019-07-27 09:45:46	ga_ls7e_ard_3-0-0_096085_2019-07-27_final
2019-10-31 09:41:42	ga_ls7e_ard_3-1-0_096085_2019-10-31_final
2019-11-16 09:40:58	ga_ls7e_ard_3-1-0_096085_2019-11-16_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2020-01-03 09:38:34	ga_ls7e_ard_3-1-0_096085_2020-01-03_final
2020-03-07 09:35:17	ga_ls7e_ard_3-1-0_096085_2020-03-07_final
2020-04-08 09:33:30	ga_ls7e_ard_3-1-0_096085_2020-04-08_final
2020-05-10 09:31:36	ga_ls7e_ard_3-1-0_096085_2020-05-10_final
2020-05-26 09:30:36	ga_ls7e_ard_3-1-0_096085_2020-05-26_final
2020-06-11 09:29:41	ga_ls7e_ard_3-1-0_096085_2020-06-10_final
2020-07-13 09:27:47	ga_ls7e_ard_3-1-0_096085_2020-07-12_final
2020-07-29 09:26:47	ga_ls7e_ard_3-1-0_096085_2020-07-28_final
2020-08-14 09:25:47	ga_ls7e_ard_3-1-0_096085_2020-08-13_final
2020-09-15 09:23:41	ga_ls7e_ard_3-1-0_096085_2020-09-14_final
2020-10-01 09:22:39	ga_ls7e_ard_3-1-0_096085_2020-09-30_final
2020-11-02 09:20:34	ga_ls7e_ard_3-1-0_096085_2020-11-01_final
2020-11-18 09:19:28	ga_ls7e_ard_3-1-0_096085_2020-11-17_final
2020-12-04 09:18:19	ga_ls7e_ard_3-1-0_096085_2020-12-03_final
2021-09-18 08:54:59	ga_ls7e_ard_3-2-0_096085_2021-09-17_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-11-05 08:50:39	ga_ls7e_ard_3-2-0_096085_2021-11-04_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-12-07 08:47:36	ga_ls7e_ard_3-2-1_096085_2021-12-06_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2022-01-24 08:42:56	ga_ls7e_ard_3-2-1_096085_2022-01-23_final
2022-02-09 08:41:20	ga_ls7e_ard_3-2-1_096085_2022-02-08_final
2022-02-25 08:39:45	ga_ls7e_ard_3-2-1_096085_2022-02-24_final
2022-03-13 08:38:10	ga_ls7e_ard_3-2-1_096085_2022-03-12_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