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
2013-04-30 09:44:19	ga_ls7e_ard_3-0-0_095077_2013-04-30_final
2013-10-23 09:44:27	ga_ls7e_ard_3-0-0_095077_2013-10-23_final
2013-12-10 09:44:45	ga_ls7e_ard_3-0-0_095077_2013-12-10_final
2014-03-16 09:45:16	ga_ls7e_ard_3-0-0_095077_2014-03-16_final
2014-04-01 09:45:22	ga_ls7e_ard_3-0-0_095077_2014-04-01_final
2014-06-04 09:45:48	ga_ls7e_ard_3-0-0_095077_2014-06-04_final
2014-07-22 09:45:58	ga_ls7e_ard_3-0-0_095077_2014-07-22_final
2014-12-29 09:46:54	ga_ls7e_ard_3-0-0_095077_2014-12-29_final
2015-01-14 09:46:58	ga_ls7e_ard_3-0-0_095077_2015-01-14_final
2015-03-03 09:47:16	ga_ls7e_ard_3-0-0_095077_2015-03-03_final
2015-04-04 09:47:30	ga_ls7e_ard_3-0-0_095077_2015-04-04_final
2015-04-20 09:47:37	ga_ls7e_ard_3-0-0_095077_2015-04-20_final
2015-06-07 09:47:58	ga_ls7e_ard_3-0-0_095077_2015-06-07_final
2015-06-23 09:48:00	ga_ls7e_ard_3-0-0_095077_2015-06-23_final
2015-07-09 09:48:06	ga_ls7e_ard_3-0-0_095077_2015-07-09_final
2015-07-25 09:48:09	ga_ls7e_ard_3-0-0_095077_2015-07-25_final
2015-08-10 09:48:13	ga_ls7e_ard_3-0-0_095077_2015-08-10_final
2015-08-26 09:48:15	ga_ls7e_ard_3-0-0_095077_2015-08-26_final
2015-09-11 09:48:18	ga_ls7e_ard_3-0-0_095077_2015-09-11_final
2015-09-27 09:48:22	ga_ls7e_ard_3-0-0_095077_2015-09-27_final
2015-10-13 09:48:33	ga_ls7e_ard_3-0-0_095077_2015-10-13_final
2015-10-29 09:48:49	ga_ls7e_ard_3-0-0_095077_2015-10-29_final
2015-11-14 09:49:05	ga_ls7e_ard_3-0-0_095077_2015-11-14_final
2015-11-30 09:49:18	ga_ls7e_ard_3-0-0_095077_2015-11-30_final
2015-12-16 09:49:35	ga_ls7e_ard_3-0-0_095077_2015-12-16_final
2016-01-01 09:49:48	ga_ls7e_ard_3-0-0_095077_2016-01-01_final
2016-01-17 09:50:03	ga_ls7e_ard_3-0-0_095077_2016-01-17_final
2016-02-18 09:50:16	ga_ls7e_ard_3-0-0_095077_2016-02-18_final
2016-03-05 09:50:24	ga_ls7e_ard_3-0-0_095077_2016-03-05_final
2016-03-21 09:50:31	ga_ls7e_ard_3-0-0_095077_2016-03-21_final
2016-04-06 09:50:34	ga_ls7e_ard_3-0-0_095077_2016-04-06_final
2016-04-22 09:50:43	ga_ls7e_ard_3-0-0_095077_2016-04-22_final
2016-05-24 09:50:51	ga_ls7e_ard_3-0-0_095077_2016-05-24_final
2016-06-09 09:50:56	ga_ls7e_ard_3-0-0_095077_2016-06-09_final
2016-06-25 09:50:58	ga_ls7e_ard_3-0-0_095077_2016-06-25_final
2016-07-11 09:50:57	ga_ls7e_ard_3-0-0_095077_2016-07-11_final
2016-07-27 09:51:00	ga_ls7e_ard_3-0-0_095077_2016-07-27_final
2016-08-12 09:51:01	ga_ls7e_ard_3-0-0_095077_2016-08-12_final
2016-08-28 09:51:04	ga_ls7e_ard_3-0-0_095077_2016-08-28_final
2016-09-13 09:51:06	ga_ls7e_ard_3-0-0_095077_2016-09-13_final
2016-09-29 09:51:09	ga_ls7e_ard_3-0-0_095077_2016-09-29_final
2016-10-15 09:51:09	ga_ls7e_ard_3-0-0_095077_2016-10-15_final
2016-10-31 09:51:04	ga_ls7e_ard_3-0-0_095077_2016-10-31_final
2016-11-16 09:50:56	ga_ls7e_ard_3-0-0_095077_2016-11-16_final
2016-12-02 09:50:54	ga_ls7e_ard_3-0-0_095077_2016-12-02_final
2016-12-18 09:50:49	ga_ls7e_ard_3-0-0_095077_2016-12-18_final
2017-01-03 09:50:40	ga_ls7e_ard_3-0-0_095077_2017-01-03_final
2017-01-19 09:50:30	ga_ls7e_ard_3-0-0_095077_2017-01-19_final
2017-02-04 09:50:23	ga_ls7e_ard_3-0-0_095077_2017-02-04_final
2017-02-20 09:50:24	ga_ls7e_ard_3-0-0_095077_2017-02-20_final
2017-03-24 09:50:37	ga_ls7e_ard_3-0-0_095077_2017-03-24_final
2017-04-09 09:50:41	ga_ls7e_ard_3-0-0_095077_2017-04-09_final
2017-04-25 09:50:48	ga_ls7e_ard_3-0-0_095077_2017-04-25_final
2017-05-11 09:50:52	ga_ls7e_ard_3-0-0_095077_2017-05-11_final
2017-05-27 09:50:55	ga_ls7e_ard_3-0-0_095077_2017-05-27_final
2017-06-12 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-06-12_final
2017-06-28 09:51:03	ga_ls7e_ard_3-0-0_095077_2017-06-28_final
2017-07-14 09:51:04	ga_ls7e_ard_3-0-0_095077_2017-07-14_final
2017-08-31 09:51:01	ga_ls7e_ard_3-0-0_095077_2017-08-31_final
2017-09-16 09:50:59	ga_ls7e_ard_3-0-0_095077_2017-09-16_final
2017-10-02 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-10-02_final
2017-10-18 09:51:02	ga_ls7e_ard_3-0-0_095077_2017-10-18_final
2017-11-19 09:50:58	ga_ls7e_ard_3-0-0_095077_2017-11-19_final
2018-01-06 09:50:30	ga_ls7e_ard_3-0-0_095077_2018-01-06_final
2018-05-30 09:48:23	ga_ls7e_ard_3-0-0_095077_2018-05-30_final
2018-06-15 09:48:06	ga_ls7e_ard_3-0-0_095077_2018-06-15_final
2018-08-02 09:47:13	ga_ls7e_ard_3-0-0_095077_2018-08-02_final
2019-01-09 09:43:23	ga_ls7e_ard_3-0-0_095077_2019-01-09_final
2019-08-05 09:36:02	ga_ls7e_ard_3-0-0_095077_2019-08-05_final
2019-09-22 09:33:58	ga_ls7e_ard_3-1-0_095077_2019-09-22_final
2019-11-09 09:31:55	ga_ls7e_ard_3-1-0_095077_2019-11-09_final
2020-01-28 09:27:57	ga_ls7e_ard_3-1-0_095077_2020-01-27_final
2020-10-10 09:12:42	ga_ls7e_ard_3-1-0_095077_2020-10-09_final
2020-11-27 09:09:27	ga_ls7e_ard_3-1-0_095077_2020-11-26_final
2020-12-13 09:08:16	ga_ls7e_ard_3-1-0_095077_2020-12-12_final
2021-01-14 09:05:59	ga_ls7e_ard_3-1-0_095077_2021-01-13_final
2021-01-30 09:04:50	ga_ls7e_ard_3-2-0_095077_2021-01-29_final
2021-02-15 09:03:38	ga_ls7e_ard_3-2-0_095077_2021-02-14_final
2021-03-03 09:02:25	ga_ls7e_ard_3-2-0_095077_2021-03-02_final
2021-03-19 09:01:09	ga_ls7e_ard_3-2-0_095077_2021-03-18_final
2021-04-04 08:59:51	ga_ls7e_ard_3-2-0_095077_2021-04-03_final
2021-04-20 08:58:30	ga_ls7e_ard_3-2-0_095077_2021-04-19_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-05-22 08:55:49	ga_ls7e_ard_3-2-0_095077_2021-05-21_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-23 08:53:09	ga_ls7e_ard_3-2-0_095077_2021-06-22_final
2021-07-09 08:51:49	ga_ls7e_ard_3-2-0_095077_2021-07-08_final
2021-07-25 08:50:26	ga_ls7e_ard_3-2-0_095077_2021-07-24_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-11 08:46:14	ga_ls7e_ard_3-2-0_095077_2021-09-10_final
2021-09-27 08:44:48	ga_ls7e_ard_3-2-0_095077_2021-09-26_final
2021-10-13 08:43:23	ga_ls7e_ard_3-2-0_095077_2021-10-12_final
2021-11-14 08:40:25	ga_ls7e_ard_3-2-1_095077_2021-11-13_final
2021-12-16 08:37:22	ga_ls7e_ard_3-2-1_095077_2021-12-15_final
2022-01-01 08:35:46	ga_ls7e_ard_3-2-1_095077_2021-12-31_final
2022-01-17 08:34:14	ga_ls7e_ard_3-2-1_095077_2022-01-16_final
2022-02-02 08:32:40	ga_ls7e_ard_3-2-1_095077_2022-02-01_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years