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
2014-12-19 09:10:38	ga_ls7e_ard_3-0-0_089079_2014-12-18_final
2015-04-26 09:11:23	ga_ls7e_ard_3-0-0_089079_2015-04-25_final
2015-05-12 09:11:32	ga_ls7e_ard_3-0-0_089079_2015-05-11_final
2015-05-28 09:11:35	ga_ls7e_ard_3-0-0_089079_2015-05-27_final
2015-06-29 09:11:45	ga_ls7e_ard_3-0-0_089079_2015-06-28_final
2015-08-16 09:11:57	ga_ls7e_ard_3-0-0_089079_2015-08-15_final
2015-10-03 09:12:03	ga_ls7e_ard_3-0-0_089079_2015-10-02_final
2015-10-19 09:12:23	ga_ls7e_ard_3-0-0_089079_2015-10-18_final
2015-11-04 09:12:36	ga_ls7e_ard_3-0-0_089079_2015-11-03_final
2015-12-22 09:13:23	ga_ls7e_ard_3-0-0_089079_2015-12-21_final
2016-01-07 09:13:37	ga_ls7e_ard_3-0-0_089079_2016-01-06_final
2016-02-08 09:13:58	ga_ls7e_ard_3-0-0_089079_2016-02-07_final
2016-03-11 09:14:11	ga_ls7e_ard_3-0-0_089079_2016-03-10_final
2016-05-14 09:14:31	ga_ls7e_ard_3-0-0_089079_2016-05-13_final
2016-05-30 09:14:36	ga_ls7e_ard_3-0-0_089079_2016-05-29_final
2016-07-17 09:14:41	ga_ls7e_ard_3-0-0_089079_2016-07-16_final
2016-08-02 09:14:44	ga_ls7e_ard_3-0-0_089079_2016-08-01_final
2016-10-21 09:14:50	ga_ls7e_ard_3-0-0_089079_2016-10-20_final
2017-02-10 09:14:01	ga_ls7e_ard_3-0-0_089079_2017-02-09_final
2017-04-15 09:14:27	ga_ls7e_ard_3-0-0_089079_2017-04-14_final
2017-06-02 09:14:40	ga_ls7e_ard_3-0-0_089079_2017-06-01_final
2017-06-18 09:14:44	ga_ls7e_ard_3-0-0_089079_2017-06-17_final
2017-07-04 09:14:46	ga_ls7e_ard_3-0-0_089079_2017-07-03_final
2017-07-20 09:14:46	ga_ls7e_ard_3-0-0_089079_2017-07-19_final
2017-08-05 09:14:45	ga_ls7e_ard_3-0-0_089079_2017-08-04_final
2017-08-21 09:14:43	ga_ls7e_ard_3-0-0_089079_2017-08-20_final
2017-09-06 09:14:43	ga_ls7e_ard_3-0-0_089079_2017-09-05_final
2017-09-22 09:14:42	ga_ls7e_ard_3-0-0_089079_2017-09-21_final
2017-10-08 09:14:44	ga_ls7e_ard_3-0-0_089079_2017-10-07_final
2017-10-24 09:14:45	ga_ls7e_ard_3-0-0_089079_2017-10-23_final
2017-11-09 09:14:44	ga_ls7e_ard_3-0-0_089079_2017-11-08_final
2017-11-25 09:14:39	ga_ls7e_ard_3-0-0_089079_2017-11-24_final
2017-12-11 09:14:31	ga_ls7e_ard_3-0-0_089079_2017-12-10_final
2017-12-27 09:14:21	ga_ls7e_ard_3-0-0_089079_2017-12-26_final
2018-01-12 09:14:08	ga_ls7e_ard_3-0-0_089079_2018-01-11_final
2018-01-28 09:13:53	ga_ls7e_ard_3-0-0_089079_2018-01-27_final
2018-02-13 09:13:39	ga_ls7e_ard_3-0-0_089079_2018-02-12_final
2018-03-01 09:13:29	ga_ls7e_ard_3-0-0_089079_2018-02-28_final
2018-03-17 09:13:18	ga_ls7e_ard_3-0-0_089079_2018-03-16_final
2018-04-02 09:13:04	ga_ls7e_ard_3-0-0_089079_2018-04-01_final
2018-05-04 09:12:31	ga_ls7e_ard_3-0-0_089079_2018-05-03_final
2018-05-20 09:12:16	ga_ls7e_ard_3-0-0_089079_2018-05-19_final
2018-06-05 09:12:00	ga_ls7e_ard_3-0-0_089079_2018-06-04_final
2018-06-21 09:11:43	ga_ls7e_ard_3-0-0_089079_2018-06-20_final
2018-07-23 09:11:06	ga_ls7e_ard_3-0-0_089079_2018-07-22_final
2018-08-08 09:10:49	ga_ls7e_ard_3-0-0_089079_2018-08-07_final
2018-08-24 09:10:31	ga_ls7e_ard_3-0-0_089079_2018-08-23_final
2018-09-09 09:10:10	ga_ls7e_ard_3-0-0_089079_2018-09-08_final
2018-10-11 09:09:25	ga_ls7e_ard_3-0-0_089079_2018-10-10_final
2018-10-27 09:09:03	ga_ls7e_ard_3-0-0_089079_2018-10-26_final
2018-11-12 09:08:42	ga_ls7e_ard_3-0-0_089079_2018-11-11_final
2018-11-28 09:08:18	ga_ls7e_ard_3-0-0_089079_2018-11-27_final
2018-12-30 09:07:24	ga_ls7e_ard_3-0-0_089079_2018-12-29_final
2019-01-15 09:06:55	ga_ls7e_ard_3-0-0_089079_2019-01-14_final
2019-01-31 09:06:23	ga_ls7e_ard_3-0-0_089079_2019-01-30_final
2019-02-16 09:05:55	ga_ls7e_ard_3-1-0_089079_2019-02-15_final
2019-03-04 09:05:26	ga_ls7e_ard_3-1-0_089079_2019-03-03_final
2019-03-20 09:04:54	ga_ls7e_ard_3-1-0_089079_2019-03-19_final
2019-04-05 09:04:21	ga_ls7e_ard_3-0-0_089079_2019-04-04_final
2019-04-21 09:03:47	ga_ls7e_ard_3-0-0_089079_2019-04-20_final
2019-05-07 09:03:11	ga_ls7e_ard_3-0-0_089079_2019-05-06_final
2019-05-23 09:02:33	ga_ls7e_ard_3-0-0_089079_2019-05-22_final
2019-06-08 09:01:59	ga_ls7e_ard_3-0-0_089079_2019-06-07_final
2019-06-24 09:01:24	ga_ls7e_ard_3-0-0_089079_2019-06-23_final
2019-07-10 09:00:48	ga_ls7e_ard_3-0-0_089079_2019-07-09_final
2019-07-26 09:00:10	ga_ls7e_ard_3-0-0_089079_2019-07-25_final
2019-08-11 08:59:30	ga_ls7e_ard_3-0-0_089079_2019-08-10_final
2019-09-12 08:58:08	ga_ls7e_ard_3-1-0_089079_2019-09-11_final
2019-09-28 08:57:26	ga_ls7e_ard_3-1-0_089079_2019-09-27_final
2019-10-30 08:56:05	ga_ls7e_ard_3-1-0_089079_2019-10-29_final
2019-11-15 08:55:21	ga_ls7e_ard_3-1-0_089079_2019-11-14_final
2019-12-01 08:54:35	ga_ls7e_ard_3-1-0_089079_2019-11-30_final
2019-12-17 08:53:48	ga_ls7e_ard_3-1-0_089079_2019-12-16_final
2020-01-02 08:52:58	ga_ls7e_ard_3-1-0_089079_2020-01-01_final
2020-02-03 08:51:22	ga_ls7e_ard_3-1-0_089079_2020-02-02_final
2020-02-19 08:50:32	ga_ls7e_ard_3-1-0_089079_2020-02-18_final
2020-03-22 08:48:48	ga_ls7e_ard_3-1-0_089079_2020-03-21_final
2020-04-07 08:47:54	ga_ls7e_ard_3-1-0_089079_2020-04-06_final
2020-04-23 08:46:58	ga_ls7e_ard_3-1-0_089079_2020-04-22_final
2020-05-09 08:46:00	ga_ls7e_ard_3-1-0_089079_2020-05-08_final
2020-05-25 08:45:01	ga_ls7e_ard_3-1-0_089079_2020-05-24_final
2020-06-10 08:44:05	ga_ls7e_ard_3-1-0_089079_2020-06-09_final
2020-06-26 08:43:09	ga_ls7e_ard_3-1-0_089079_2020-06-25_final
2020-07-12 08:42:11	ga_ls7e_ard_3-1-0_089079_2020-07-11_final
2020-07-28 08:41:12	ga_ls7e_ard_3-1-0_089079_2020-07-27_final
2020-08-13 08:40:11	ga_ls7e_ard_3-1-0_089079_2020-08-12_final
2020-08-29 08:39:09	ga_ls7e_ard_3-1-0_089079_2020-08-28_final
2020-09-14 08:38:06	ga_ls7e_ard_3-1-0_089079_2020-09-13_final
2020-09-30 08:37:04	ga_ls7e_ard_3-1-0_089079_2020-09-29_final
2020-10-16 08:36:02	ga_ls7e_ard_3-1-0_089079_2020-10-15_final
2020-11-01 08:34:59	ga_ls7e_ard_3-1-0_089079_2020-10-31_final
2020-11-17 08:33:53	ga_ls7e_ard_3-1-0_089079_2020-11-16_final
2021-02-21 08:26:54	ga_ls7e_ard_3-2-0_089079_2021-02-20_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-04-10 08:23:04	ga_ls7e_ard_3-2-0_089079_2021-04-09_final
2021-11-20 08:03:33	ga_ls7e_ard_3-2-1_089079_2021-11-19_final
2021-12-06 08:02:02	ga_ls7e_ard_3-2-1_089079_2021-12-05_final
2021-12-22 08:00:30	ga_ls7e_ard_3-2-1_089079_2021-12-21_final
2022-01-23 07:57:23	ga_ls7e_ard_3-2-1_089079_2022-01-22_final
2022-02-08 07:55:47	ga_ls7e_ard_3-2-1_089079_2022-02-07_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