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:

Add field

First 100 results (query limit)

Time (local)	Label
2014-03-08 10:36:38	ga_ls7e_ard_3-0-0_103082_2014-03-08_final
2014-06-12 10:37:15	ga_ls7e_ard_3-0-0_103082_2014-06-12_final
2014-10-18 10:37:51	ga_ls7e_ard_3-0-0_103082_2014-10-18_final
2015-01-22 10:38:24	ga_ls7e_ard_3-0-0_103082_2015-01-22_final
2015-05-14 10:39:16	ga_ls7e_ard_3-0-0_103082_2015-05-14_final
2015-09-19 10:39:47	ga_ls7e_ard_3-0-0_103082_2015-09-19_final
2016-04-30 10:42:12	ga_ls7e_ard_3-0-0_103082_2016-04-30_final
2016-06-17 10:42:23	ga_ls7e_ard_3-0-0_103082_2016-06-17_final
2016-07-03 10:42:24	ga_ls7e_ard_3-0-0_103082_2016-07-03_final
2016-08-04 10:42:27	ga_ls7e_ard_3-0-0_103082_2016-08-04_final
2016-08-20 10:42:28	ga_ls7e_ard_3-0-0_103082_2016-08-20_final
2016-09-05 10:42:32	ga_ls7e_ard_3-0-0_103082_2016-09-05_final
2016-09-21 10:42:34	ga_ls7e_ard_3-0-0_103082_2016-09-21_final
2016-10-07 10:42:36	ga_ls7e_ard_3-0-0_103082_2016-10-07_final
2016-10-23 10:42:33	ga_ls7e_ard_3-0-0_103082_2016-10-23_final
2016-11-24 10:42:22	ga_ls7e_ard_3-0-0_103082_2016-11-24_final
2016-12-10 10:42:18	ga_ls7e_ard_3-0-0_103082_2016-12-10_final
2017-01-27 10:41:51	ga_ls7e_ard_3-0-0_103082_2017-01-27_final
2017-02-12 10:41:45	ga_ls7e_ard_3-0-0_103082_2017-02-12_final
2017-02-28 10:41:54	ga_ls7e_ard_3-0-0_103082_2017-02-28_final
2017-03-16 10:42:01	ga_ls7e_ard_3-0-0_103082_2017-03-16_final
2017-04-17 10:42:12	ga_ls7e_ard_3-0-0_103082_2017-04-17_final
2017-05-03 10:42:17	ga_ls7e_ard_3-0-0_103082_2017-05-03_final
2017-05-19 10:42:20	ga_ls7e_ard_3-0-0_103082_2017-05-19_final
2017-06-04 10:42:24	ga_ls7e_ard_3-0-0_103082_2017-06-04_final
2017-06-20 10:42:28	ga_ls7e_ard_3-0-0_103082_2017-06-20_final
2017-07-06 10:42:30	ga_ls7e_ard_3-0-0_103082_2017-07-06_final
2017-07-22 10:42:29	ga_ls7e_ard_3-0-0_103082_2017-07-22_final
2017-08-07 10:42:27	ga_ls7e_ard_3-0-0_103082_2017-08-07_final
2017-08-23 10:42:27	ga_ls7e_ard_3-0-0_103082_2017-08-23_final
2017-09-08 10:42:26	ga_ls7e_ard_3-1-0_103082_2017-09-08_final
2017-09-24 10:42:25	ga_ls7e_ard_3-0-0_103082_2017-09-24_final
2017-10-26 10:42:29	ga_ls7e_ard_3-0-0_103082_2017-10-26_final
2017-11-27 10:42:22	ga_ls7e_ard_3-0-0_103082_2017-11-27_final
2017-12-13 10:42:13	ga_ls7e_ard_3-0-0_103082_2017-12-13_final
2018-01-14 10:41:49	ga_ls7e_ard_3-0-0_103082_2018-01-14_final
2018-02-15 10:41:21	ga_ls7e_ard_3-0-0_103082_2018-02-15_final
2018-03-03 10:41:11	ga_ls7e_ard_3-0-0_103082_2018-03-03_final
2018-04-04 10:40:45	ga_ls7e_ard_3-0-0_103082_2018-04-04_final
2018-04-20 10:40:30	ga_ls7e_ard_3-0-0_103082_2018-04-20_final
2018-05-06 10:40:12	ga_ls7e_ard_3-0-0_103082_2018-05-06_final
2018-05-22 10:39:57	ga_ls7e_ard_3-0-0_103082_2018-05-22_final
2018-07-09 10:39:04	ga_ls7e_ard_3-0-0_103082_2018-07-09_final
2018-07-25 10:38:48	ga_ls7e_ard_3-0-0_103082_2018-07-25_final
2018-08-10 10:38:30	ga_ls7e_ard_3-0-0_103082_2018-08-10_final
2018-08-26 10:38:11	ga_ls7e_ard_3-0-0_103082_2018-08-26_final
2018-09-11 10:37:51	ga_ls7e_ard_3-0-0_103082_2018-09-11_final
2018-09-27 10:37:29	ga_ls7e_ard_3-0-0_103082_2018-09-27_final
2018-10-29 10:36:44	ga_ls7e_ard_3-0-0_103082_2018-10-29_final
2018-11-30 10:35:58	ga_ls7e_ard_3-0-0_103082_2018-11-30_final
2018-12-16 10:35:32	ga_ls7e_ard_3-0-0_103082_2018-12-16_final
2019-01-01 10:35:04	ga_ls7e_ard_3-0-0_103082_2019-01-01_final
2019-02-02 10:34:03	ga_ls7e_ard_3-0-0_103082_2019-02-02_final
2019-03-06 10:33:05	ga_ls7e_ard_3-1-0_103082_2019-03-06_final
2019-04-23 10:31:26	ga_ls7e_ard_3-0-0_103082_2019-04-23_final
2019-05-09 10:30:49	ga_ls7e_ard_3-0-0_103082_2019-05-09_final
2019-05-25 10:30:12	ga_ls7e_ard_3-0-0_103082_2019-05-25_final
2019-06-10 10:29:38	ga_ls7e_ard_3-0-0_103082_2019-06-10_final
2019-06-26 10:29:03	ga_ls7e_ard_3-0-0_103082_2019-06-26_final
2019-07-12 10:28:26	ga_ls7e_ard_3-0-0_103082_2019-07-12_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-09-14 10:25:46	ga_ls7e_ard_3-1-0_103082_2019-09-14_final
2019-11-17 10:22:59	ga_ls7e_ard_3-1-0_103082_2019-11-17_final
2019-12-03 10:22:13	ga_ls7e_ard_3-1-0_103082_2019-12-03_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2020-01-20 10:19:47	ga_ls7e_ard_3-1-0_103082_2020-01-20_final
2020-02-05 10:18:59	ga_ls7e_ard_3-1-0_103082_2020-02-05_final
2020-02-21 10:18:09	ga_ls7e_ard_3-1-0_103082_2020-02-21_final
2020-03-08 10:17:17	ga_ls7e_ard_3-1-0_103082_2020-03-08_final
2020-03-24 10:16:25	ga_ls7e_ard_3-1-0_103082_2020-03-24_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-05-27 10:12:36	ga_ls7e_ard_3-1-0_103082_2020-05-27_final
2020-06-12 10:11:41	ga_ls7e_ard_3-1-0_103082_2020-06-12_final
2020-06-28 10:10:45	ga_ls7e_ard_3-1-0_103082_2020-06-28_final
2020-07-14 10:09:47	ga_ls7e_ard_3-1-0_103082_2020-07-14_final
2020-07-30 10:08:47	ga_ls7e_ard_3-1-0_103082_2020-07-30_final
2020-08-15 10:07:47	ga_ls7e_ard_3-1-0_103082_2020-08-15_final
2020-08-31 10:06:45	ga_ls7e_ard_3-1-0_103082_2020-08-31_final
2020-10-02 10:04:39	ga_ls7e_ard_3-1-0_103082_2020-10-02_final
2020-10-18 10:03:37	ga_ls7e_ard_3-1-0_103082_2020-10-18_final
2020-11-03 10:02:34	ga_ls7e_ard_3-1-0_103082_2020-11-03_final
2020-11-19 10:01:27	ga_ls7e_ard_3-1-0_103082_2020-11-19_final
2021-03-11 09:53:13	ga_ls7e_ard_3-2-0_103082_2021-03-11_final
2021-03-27 09:51:56	ga_ls7e_ard_3-2-0_103082_2021-03-27_final
2021-04-12 09:50:37	ga_ls7e_ard_3-2-0_103082_2021-04-12_final
2021-04-28 09:49:15	ga_ls7e_ard_3-2-0_103082_2021-04-28_final
2021-05-30 09:46:33	ga_ls7e_ard_3-2-0_103082_2021-05-30_final
2021-06-15 09:45:15	ga_ls7e_ard_3-2-0_103082_2021-06-15_final
2021-07-01 09:43:55	ga_ls7e_ard_3-2-0_103082_2021-07-01_final
2021-07-17 09:42:34	ga_ls7e_ard_3-2-0_103082_2021-07-17_final
2021-08-02 09:41:10	ga_ls7e_ard_3-2-0_103082_2021-08-02_final
2021-08-18 09:39:44	ga_ls7e_ard_3-2-0_103082_2021-08-18_final
2021-09-03 09:38:22	ga_ls7e_ard_3-2-0_103082_2021-09-03_final
2021-09-19 09:36:57	ga_ls7e_ard_3-2-0_103082_2021-09-19_final
2021-10-05 09:35:32	ga_ls7e_ard_3-2-0_103082_2021-10-05_final
2021-10-21 09:34:06	ga_ls7e_ard_3-2-0_103082_2021-10-21_final
2021-12-08 09:29:34	ga_ls7e_ard_3-2-1_103082_2021-12-07_final
2021-12-24 09:28:01	ga_ls7e_ard_3-2-1_103082_2021-12-23_final
2022-01-09 09:26:26	ga_ls7e_ard_3-2-1_103082_2022-01-08_final
2022-02-10 09:23:17	ga_ls7e_ard_3-2-1_103082_2022-02-09_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