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
2015-08-28 11:16:46	ga_ls7e_ard_3-0-0_109082_2015-08-28_final
2016-05-10 11:19:19	ga_ls7e_ard_3-0-0_109082_2016-05-10_final
2016-05-26 11:19:23	ga_ls7e_ard_3-0-0_109082_2016-05-26_final
2016-06-11 11:19:27	ga_ls7e_ard_3-0-0_109082_2016-06-11_final
2016-06-27 11:19:29	ga_ls7e_ard_3-0-0_109082_2016-06-27_final
2016-07-13 11:19:28	ga_ls7e_ard_3-0-0_109082_2016-07-13_final
2016-08-14 11:19:32	ga_ls7e_ard_3-0-0_109082_2016-08-14_final
2016-08-30 11:19:36	ga_ls7e_ard_3-0-0_109082_2016-08-30_final
2016-09-15 11:19:37	ga_ls7e_ard_3-0-0_109082_2016-09-15_final
2016-10-01 11:19:40	ga_ls7e_ard_3-0-0_109082_2016-10-01_final
2016-10-17 11:19:39	ga_ls7e_ard_3-0-0_109082_2016-10-17_final
2016-11-02 11:19:34	ga_ls7e_ard_3-0-0_109082_2016-11-02_final
2016-11-18 11:19:27	ga_ls7e_ard_3-0-0_109082_2016-11-18_final
2016-12-04 11:19:25	ga_ls7e_ard_3-0-0_109082_2016-12-04_final
2016-12-20 11:19:19	ga_ls7e_ard_3-0-0_109082_2016-12-20_final
2017-01-05 11:19:10	ga_ls7e_ard_3-0-0_109082_2017-01-05_final
2017-02-06 11:18:54	ga_ls7e_ard_3-0-0_109082_2017-02-06_final
2017-02-22 11:18:56	ga_ls7e_ard_3-0-0_109082_2017-02-22_final
2017-03-10 11:19:04	ga_ls7e_ard_3-0-0_109082_2017-03-10_final
2017-03-26 11:19:08	ga_ls7e_ard_3-0-0_109082_2017-03-26_final
2017-04-11 11:19:14	ga_ls7e_ard_3-0-0_109082_2017-04-11_final
2017-04-27 11:19:20	ga_ls7e_ard_3-0-0_109082_2017-04-27_final
2017-05-13 11:19:24	ga_ls7e_ard_3-0-0_109082_2017-05-13_final
2017-05-29 11:19:27	ga_ls7e_ard_3-0-0_109082_2017-05-29_final
2017-06-30 11:19:34	ga_ls7e_ard_3-0-0_109082_2017-06-30_final
2017-07-16 11:19:35	ga_ls7e_ard_3-0-0_109082_2017-07-16_final
2017-08-01 11:19:33	ga_ls7e_ard_3-0-0_109082_2017-08-01_final
2017-08-17 11:19:31	ga_ls7e_ard_3-0-0_109082_2017-08-17_final
2017-09-02 11:19:32	ga_ls7e_ard_3-0-0_109082_2017-09-02_final
2017-09-18 11:19:29	ga_ls7e_ard_3-0-0_109082_2017-09-18_final
2017-10-04 11:19:31	ga_ls7e_ard_3-0-0_109082_2017-10-04_final
2017-10-20 11:19:33	ga_ls7e_ard_3-0-0_109082_2017-10-20_final
2017-11-05 11:19:33	ga_ls7e_ard_3-0-0_109082_2017-11-05_final
2017-11-21 11:19:29	ga_ls7e_ard_3-0-0_109082_2017-11-21_final
2017-12-07 11:19:22	ga_ls7e_ard_3-0-0_109082_2017-12-07_final
2017-12-23 11:19:12	ga_ls7e_ard_3-0-0_109082_2017-12-23_final
2018-01-08 11:18:59	ga_ls7e_ard_3-0-0_109082_2018-01-08_final
2018-02-09 11:18:29	ga_ls7e_ard_3-0-0_109082_2018-02-09_final
2018-02-25 11:18:20	ga_ls7e_ard_3-0-0_109082_2018-02-25_final
2018-03-13 11:18:09	ga_ls7e_ard_3-0-0_109082_2018-03-13_final
2018-03-29 11:17:56	ga_ls7e_ard_3-0-0_109082_2018-03-29_final
2018-04-14 11:17:41	ga_ls7e_ard_3-0-0_109082_2018-04-14_final
2018-04-30 11:17:24	ga_ls7e_ard_3-0-0_109082_2018-04-30_final
2018-05-16 11:17:07	ga_ls7e_ard_3-0-0_109082_2018-05-16_final
2018-06-01 11:16:52	ga_ls7e_ard_3-0-0_109082_2018-06-01_final
2018-06-17 11:16:35	ga_ls7e_ard_3-0-0_109082_2018-06-17_final
2018-07-19 11:15:59	ga_ls7e_ard_3-0-0_109082_2018-07-19_final
2018-08-04 11:15:42	ga_ls7e_ard_3-0-0_109082_2018-08-04_final
2018-08-20 11:15:23	ga_ls7e_ard_3-0-0_109082_2018-08-20_final
2018-09-05 11:15:04	ga_ls7e_ard_3-0-0_109082_2018-09-05_final
2018-09-21 11:14:42	ga_ls7e_ard_3-0-0_109082_2018-09-21_final
2018-10-07 11:14:19	ga_ls7e_ard_3-0-0_109082_2018-10-07_final
2018-10-23 11:13:56	ga_ls7e_ard_3-0-0_109082_2018-10-23_final
2018-11-08 11:13:36	ga_ls7e_ard_3-0-0_109082_2018-11-08_final
2018-11-24 11:13:12	ga_ls7e_ard_3-0-0_109082_2018-11-24_final
2018-12-10 11:12:47	ga_ls7e_ard_3-0-0_109082_2018-12-10_final
2018-12-26 11:12:20	ga_ls7e_ard_3-0-0_109082_2018-12-26_final
2019-01-11 11:11:50	ga_ls7e_ard_3-0-0_109082_2019-01-11_final
2019-01-27 11:11:19	ga_ls7e_ard_3-0-0_109082_2019-01-27_final
2019-02-12 11:10:50	ga_ls7e_ard_3-0-0_109082_2019-02-12_final
2019-02-28 11:10:21	ga_ls7e_ard_3-1-0_109082_2019-02-28_final
2019-03-16 11:09:50	ga_ls7e_ard_3-1-0_109082_2019-03-16_final
2019-04-01 11:09:18	ga_ls7e_ard_3-0-0_109082_2019-04-01_final
2019-04-17 11:08:44	ga_ls7e_ard_3-0-0_109082_2019-04-17_final
2019-05-03 11:08:08	ga_ls7e_ard_3-0-0_109082_2019-05-03_final
2019-05-19 11:07:30	ga_ls7e_ard_3-0-0_109082_2019-05-19_final
2019-06-04 11:06:56	ga_ls7e_ard_3-0-0_109082_2019-06-04_final
2019-06-20 11:06:21	ga_ls7e_ard_3-0-0_109082_2019-06-20_final
2019-07-06 11:05:45	ga_ls7e_ard_3-0-0_109082_2019-07-06_final
2019-07-22 11:05:07	ga_ls7e_ard_3-0-0_109082_2019-07-22_final
2019-08-07 11:04:28	ga_ls7e_ard_3-0-0_109082_2019-08-07_final
2019-09-08 11:03:07	ga_ls7e_ard_3-1-0_109082_2019-09-08_final
2019-09-24 11:02:24	ga_ls7e_ard_3-1-0_109082_2019-09-24_final
2019-10-10 11:01:44	ga_ls7e_ard_3-1-0_109082_2019-10-10_final
2019-10-26 11:01:03	ga_ls7e_ard_3-1-0_109082_2019-10-26_final
2019-11-11 11:00:20	ga_ls7e_ard_3-1-0_109082_2019-11-11_final
2019-11-27 10:59:35	ga_ls7e_ard_3-1-0_109082_2019-11-27_final
2019-12-13 10:58:48	ga_ls7e_ard_3-1-0_109082_2019-12-13_final
2019-12-29 10:57:58	ga_ls7e_ard_3-1-0_109082_2019-12-29_final
2020-01-14 10:57:09	ga_ls7e_ard_3-1-0_109082_2020-01-14_final
2020-01-30 10:56:22	ga_ls7e_ard_3-1-0_109082_2020-01-30_final
2020-02-15 10:55:33	ga_ls7e_ard_3-1-0_109082_2020-02-15_final
2020-03-02 10:54:42	ga_ls7e_ard_3-1-0_109082_2020-03-02_final
2020-03-18 10:53:49	ga_ls7e_ard_3-1-0_109082_2020-03-18_final
2020-04-03 10:52:56	ga_ls7e_ard_3-1-0_109082_2020-04-03_final
2020-05-05 10:51:03	ga_ls7e_ard_3-1-0_109082_2020-05-05_final
2020-05-21 10:50:04	ga_ls7e_ard_3-1-0_109082_2020-05-21_final
2020-06-06 10:49:07	ga_ls7e_ard_3-1-0_109082_2020-06-06_final
2020-06-22 10:48:11	ga_ls7e_ard_3-1-0_109082_2020-06-22_final
2020-07-08 10:47:13	ga_ls7e_ard_3-1-0_109082_2020-07-08_final
2020-07-24 10:46:14	ga_ls7e_ard_3-1-0_109082_2020-07-24_final
2020-08-09 10:45:14	ga_ls7e_ard_3-1-0_109082_2020-08-09_final
2020-08-25 10:44:13	ga_ls7e_ard_3-1-0_109082_2020-08-25_final
2020-09-26 10:42:07	ga_ls7e_ard_3-1-0_109082_2020-09-26_final
2020-10-12 10:41:06	ga_ls7e_ard_3-1-0_109082_2020-10-12_final
2020-10-28 10:40:03	ga_ls7e_ard_3-1-0_109082_2020-10-28_final
2020-11-13 10:38:57	ga_ls7e_ard_3-1-0_109082_2020-11-13_final
2020-11-29 10:37:49	ga_ls7e_ard_3-1-0_109082_2020-11-29_final
2020-12-15 10:36:38	ga_ls7e_ard_3-1-0_109082_2020-12-15_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_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