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
2014-02-28 11:22:00	ga_ls7e_ard_3-0-0_111072_2014-02-28_final
2014-04-17 11:22:23	ga_ls7e_ard_3-0-0_111072_2014-04-17_final
2014-05-03 11:22:30	ga_ls7e_ard_3-0-0_111072_2014-05-03_final
2014-06-20 11:22:42	ga_ls7e_ard_3-0-0_111072_2014-06-20_final
2014-07-06 11:22:49	ga_ls7e_ard_3-0-0_111072_2014-07-06_final
2014-08-07 11:22:57	ga_ls7e_ard_3-0-0_111072_2014-08-07_final
2014-08-23 11:22:55	ga_ls7e_ard_3-0-0_111072_2014-08-23_final
2014-09-08 11:22:56	ga_ls7e_ard_3-0-0_111072_2014-09-08_final
2014-10-10 11:23:14	ga_ls7e_ard_3-0-0_111072_2014-10-10_final
2015-01-30 11:23:57	ga_ls7e_ard_3-0-0_111072_2015-01-30_final
2015-04-04 11:24:24	ga_ls7e_ard_3-0-0_111072_2015-04-04_final
2015-05-22 11:24:45	ga_ls7e_ard_3-0-0_111072_2015-05-22_final
2015-06-07 11:24:52	ga_ls7e_ard_3-0-0_111072_2015-06-07_final
2015-06-23 11:24:54	ga_ls7e_ard_3-0-0_111072_2015-06-23_final
2015-07-25 11:25:02	ga_ls7e_ard_3-0-0_111072_2015-07-25_final
2015-10-13 11:25:27	ga_ls7e_ard_3-0-0_111072_2015-10-13_final
2015-10-29 11:25:42	ga_ls7e_ard_3-0-0_111072_2015-10-29_final
2015-11-14 11:25:59	ga_ls7e_ard_3-0-0_111072_2015-11-14_final
2016-01-01 11:26:41	ga_ls7e_ard_3-0-0_111072_2016-01-01_final
2016-02-18 11:27:10	ga_ls7e_ard_3-0-0_111072_2016-02-18_final
2016-05-24 11:27:44	ga_ls7e_ard_3-0-0_111072_2016-05-24_final
2016-06-09 11:27:49	ga_ls7e_ard_3-0-0_111072_2016-06-09_final
2016-06-25 11:27:51	ga_ls7e_ard_3-0-0_111072_2016-06-25_final
2016-07-11 11:27:50	ga_ls7e_ard_3-0-0_111072_2016-07-11_final
2016-07-27 11:27:53	ga_ls7e_ard_3-0-0_111072_2016-07-27_final
2016-08-12 11:27:55	ga_ls7e_ard_3-0-0_111072_2016-08-12_final
2016-08-28 11:27:58	ga_ls7e_ard_3-0-0_111072_2016-08-28_final
2016-09-13 11:28:00	ga_ls7e_ard_3-0-0_111072_2016-09-13_final
2016-09-29 11:28:02	ga_ls7e_ard_3-0-0_111072_2016-09-29_final
2016-10-15 11:28:02	ga_ls7e_ard_3-0-0_111072_2016-10-15_final
2016-11-16 11:27:49	ga_ls7e_ard_3-0-0_111072_2016-11-16_final
2016-12-02 11:27:47	ga_ls7e_ard_3-0-0_111072_2016-12-02_final
2016-12-18 11:27:42	ga_ls7e_ard_3-0-0_111072_2016-12-18_final
2017-02-04 11:27:16	ga_ls7e_ard_3-0-0_111072_2017-02-04_final
2017-02-20 11:27:17	ga_ls7e_ard_3-0-0_111072_2017-02-20_final
2017-04-09 11:27:35	ga_ls7e_ard_3-0-0_111072_2017-04-09_final
2017-04-25 11:27:42	ga_ls7e_ard_3-0-0_111072_2017-04-25_final
2017-05-11 11:27:46	ga_ls7e_ard_3-0-0_111072_2017-05-11_final
2017-05-27 11:27:49	ga_ls7e_ard_3-0-0_111072_2017-05-27_final
2017-06-12 11:27:53	ga_ls7e_ard_3-0-0_111072_2017-06-12_final
2017-06-28 11:27:56	ga_ls7e_ard_3-0-0_111072_2017-06-28_final
2017-07-14 11:27:57	ga_ls7e_ard_3-0-0_111072_2017-07-14_final
2017-07-30 11:27:56	ga_ls7e_ard_3-0-0_111072_2017-07-30_final
2017-08-15 11:27:53	ga_ls7e_ard_3-0-0_111072_2017-08-15_final
2017-08-31 11:27:54	ga_ls7e_ard_3-0-0_111072_2017-08-31_final
2017-09-16 11:27:52	ga_ls7e_ard_3-0-0_111072_2017-09-16_final
2017-10-02 11:27:53	ga_ls7e_ard_3-0-0_111072_2017-10-02_final
2017-10-18 11:27:55	ga_ls7e_ard_3-0-0_111072_2017-10-18_final
2017-11-03 11:27:55	ga_ls7e_ard_3-0-0_111072_2017-11-03_final
2017-11-19 11:27:52	ga_ls7e_ard_3-0-0_111072_2017-11-19_final
2017-12-05 11:27:45	ga_ls7e_ard_3-0-0_111072_2017-12-05_final
2017-12-21 11:27:35	ga_ls7e_ard_3-0-0_111072_2017-12-21_final
2018-01-06 11:27:23	ga_ls7e_ard_3-0-0_111072_2018-01-06_final
2018-01-22 11:27:09	ga_ls7e_ard_3-0-0_111072_2018-01-22_final
2018-02-07 11:26:53	ga_ls7e_ard_3-0-0_111072_2018-02-07_final
2018-02-23 11:26:43	ga_ls7e_ard_3-0-0_111072_2018-02-23_final
2018-03-11 11:26:33	ga_ls7e_ard_3-0-0_111072_2018-03-11_final
2018-03-27 11:26:20	ga_ls7e_ard_3-0-0_111072_2018-03-27_final
2018-04-12 11:26:05	ga_ls7e_ard_3-0-0_111072_2018-04-12_final
2018-04-28 11:25:48	ga_ls7e_ard_3-0-0_111072_2018-04-28_final
2018-05-14 11:25:31	ga_ls7e_ard_3-0-0_111072_2018-05-14_final
2018-05-30 11:25:17	ga_ls7e_ard_3-0-0_111072_2018-05-30_final
2018-06-15 11:25:00	ga_ls7e_ard_3-0-0_111072_2018-06-15_final
2018-07-01 11:24:41	ga_ls7e_ard_3-0-0_111072_2018-07-01_final
2018-07-17 11:24:23	ga_ls7e_ard_3-0-0_111072_2018-07-17_final
2018-08-02 11:24:06	ga_ls7e_ard_3-0-0_111072_2018-08-02_final
2018-08-18 11:23:48	ga_ls7e_ard_3-0-0_111072_2018-08-18_final
2018-09-19 11:23:07	ga_ls7e_ard_3-0-0_111072_2018-09-19_final
2018-10-21 11:22:21	ga_ls7e_ard_3-0-0_111072_2018-10-21_final
2018-11-22 11:21:38	ga_ls7e_ard_3-0-0_111072_2018-11-22_final
2018-12-08 11:21:13	ga_ls7e_ard_3-0-0_111072_2018-12-08_final
2018-12-24 11:20:45	ga_ls7e_ard_3-0-0_111072_2018-12-24_final
2019-02-10 11:19:16	ga_ls7e_ard_3-0-0_111072_2019-02-10_final
2019-03-14 11:18:16	ga_ls7e_ard_3-1-0_111072_2019-03-14_final
2019-03-30 11:17:44	ga_ls7e_ard_3-0-0_111072_2019-03-30_final
2019-04-15 11:17:10	ga_ls7e_ard_3-0-0_111072_2019-04-15_final
2019-05-01 11:16:35	ga_ls7e_ard_3-0-0_111072_2019-05-01_final
2019-05-17 11:15:57	ga_ls7e_ard_3-0-0_111072_2019-05-17_final
2019-06-02 11:15:22	ga_ls7e_ard_3-0-0_111072_2019-06-02_final
2019-06-18 11:14:48	ga_ls7e_ard_3-0-0_111072_2019-06-18_final
2019-08-05 11:12:55	ga_ls7e_ard_3-0-0_111072_2019-08-05_final
2019-08-21 11:12:15	ga_ls7e_ard_3-0-0_111072_2019-08-21_final
2019-09-06 11:11:34	ga_ls7e_ard_3-1-0_111072_2019-09-06_final
2019-09-22 11:10:51	ga_ls7e_ard_3-1-0_111072_2019-09-22_final
2019-10-08 11:10:11	ga_ls7e_ard_3-1-0_111072_2019-10-08_final
2019-10-24 11:09:31	ga_ls7e_ard_3-1-0_111072_2019-10-24_final
2019-11-25 11:08:03	ga_ls7e_ard_3-1-0_111072_2019-11-25_final
2019-12-11 11:07:16	ga_ls7e_ard_3-1-0_111072_2019-12-11_final
2019-12-27 11:06:27	ga_ls7e_ard_3-1-0_111072_2019-12-27_final
2020-01-28 11:04:50	ga_ls7e_ard_3-1-0_111072_2020-01-28_final
2020-04-01 11:01:25	ga_ls7e_ard_3-1-0_111072_2020-04-01_final
2020-04-17 11:00:29	ga_ls7e_ard_3-1-0_111072_2020-04-17_final
2020-05-03 10:59:32	ga_ls7e_ard_3-1-0_111072_2020-05-03_final
2020-05-19 10:58:33	ga_ls7e_ard_3-1-0_111072_2020-05-19_final
2020-06-04 10:57:36	ga_ls7e_ard_3-1-0_111072_2020-06-04_final
2020-06-20 10:56:40	ga_ls7e_ard_3-1-0_111072_2020-06-20_final
2020-07-22 10:54:44	ga_ls7e_ard_3-1-0_111072_2020-07-22_final
2020-08-07 10:53:44	ga_ls7e_ard_3-1-0_111072_2020-08-07_final
2020-09-08 10:51:40	ga_ls7e_ard_3-1-0_111072_2020-09-08_final
2020-10-10 10:49:36	ga_ls7e_ard_3-1-0_111072_2020-10-10_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