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
2014-07-17 11:08:39	ga_ls7e_ard_3-0-0_108083_2014-07-17_final
2014-08-02 11:08:47	ga_ls7e_ard_3-0-0_108083_2014-08-02_final
2014-08-18 11:08:47	ga_ls7e_ard_3-0-0_108083_2014-08-18_final
2014-09-03 11:08:47	ga_ls7e_ard_3-0-0_108083_2014-09-03_final
2014-10-05 11:09:03	ga_ls7e_ard_3-0-0_108083_2014-10-05_final
2014-10-21 11:09:12	ga_ls7e_ard_3-0-0_108083_2014-10-21_final
2014-11-06 11:09:22	ga_ls7e_ard_3-0-0_108083_2014-11-06_final
2014-11-22 11:09:24	ga_ls7e_ard_3-0-0_108083_2014-11-22_final
2014-12-08 11:09:32	ga_ls7e_ard_3-0-0_108083_2014-12-08_final
2014-12-24 11:09:40	ga_ls7e_ard_3-0-0_108083_2014-12-24_final
2015-01-25 11:09:44	ga_ls7e_ard_3-0-0_108083_2015-01-25_final
2015-02-10 11:09:49	ga_ls7e_ard_3-0-0_108083_2015-02-10_final
2015-02-26 11:09:58	ga_ls7e_ard_3-0-0_108083_2015-02-26_final
2015-03-14 11:10:04	ga_ls7e_ard_3-0-0_108083_2015-03-14_final
2015-03-30 11:10:12	ga_ls7e_ard_3-0-0_108083_2015-03-30_final
2015-05-01 11:10:27	ga_ls7e_ard_3-0-0_108083_2015-05-01_final
2015-05-17 11:10:35	ga_ls7e_ard_3-0-0_108083_2015-05-17_final
2015-06-02 11:10:40	ga_ls7e_ard_3-0-0_108083_2015-06-02_final
2015-07-04 11:10:48	ga_ls7e_ard_3-0-0_108083_2015-07-04_final
2015-08-21 11:10:59	ga_ls7e_ard_3-0-0_108083_2015-08-21_final
2015-09-06 11:11:00	ga_ls7e_ard_3-0-0_108083_2015-09-06_final
2015-09-22 11:11:06	ga_ls7e_ard_3-0-0_108083_2015-09-22_final
2015-10-08 11:11:11	ga_ls7e_ard_3-0-0_108083_2015-10-08_final
2015-10-24 11:11:29	ga_ls7e_ard_3-0-0_108083_2015-10-24_final
2015-12-11 11:12:14	ga_ls7e_ard_3-0-0_108083_2015-12-11_final
2015-12-27 11:12:27	ga_ls7e_ard_3-0-0_108083_2015-12-27_final
2016-01-12 11:12:43	ga_ls7e_ard_3-0-0_108083_2016-01-12_final
2016-01-28 11:12:54	ga_ls7e_ard_3-0-0_108083_2016-01-28_final
2016-02-13 11:13:00	ga_ls7e_ard_3-0-0_108083_2016-02-13_final
2016-04-17 11:13:25	ga_ls7e_ard_3-0-0_108083_2016-04-17_final
2016-06-20 11:13:42	ga_ls7e_ard_3-0-0_108083_2016-06-20_final
2016-07-22 11:13:43	ga_ls7e_ard_3-0-0_108083_2016-07-22_final
2016-08-07 11:13:45	ga_ls7e_ard_3-0-0_108083_2016-08-07_final
2016-09-24 11:13:53	ga_ls7e_ard_3-0-0_108083_2016-09-24_final
2016-10-26 11:13:50	ga_ls7e_ard_3-0-0_108083_2016-10-26_final
2016-11-11 11:13:43	ga_ls7e_ard_3-0-0_108083_2016-11-11_final
2016-11-27 11:13:39	ga_ls7e_ard_3-0-0_108083_2016-11-27_final
2017-01-14 11:13:18	ga_ls7e_ard_3-0-0_108083_2017-01-14_final
2017-03-03 11:13:14	ga_ls7e_ard_3-0-0_108083_2017-03-03_final
2017-04-04 11:13:23	ga_ls7e_ard_3-0-0_108083_2017-04-04_final
2017-04-20 11:13:31	ga_ls7e_ard_3-0-0_108083_2017-04-20_final
2017-05-22 11:13:38	ga_ls7e_ard_3-0-0_108083_2017-05-22_final
2017-06-07 11:13:43	ga_ls7e_ard_3-0-0_108083_2017-06-07_final
2017-06-23 11:13:46	ga_ls7e_ard_3-0-0_108083_2017-06-23_final
2017-07-09 11:13:48	ga_ls7e_ard_3-0-0_108083_2017-07-09_final
2017-07-25 11:13:47	ga_ls7e_ard_3-0-0_108083_2017-07-25_final
2017-08-10 11:13:45	ga_ls7e_ard_3-0-0_108083_2017-08-10_final
2017-08-26 11:13:45	ga_ls7e_ard_3-0-0_108083_2017-08-26_final
2017-09-11 11:13:44	ga_ls7e_ard_3-0-0_108083_2017-09-11_final
2017-09-27 11:13:44	ga_ls7e_ard_3-0-0_108083_2017-09-27_final
2017-10-13 11:13:46	ga_ls7e_ard_3-0-0_108083_2017-10-13_final
2017-10-29 11:13:46	ga_ls7e_ard_3-0-0_108083_2017-10-29_final
2017-11-30 11:13:38	ga_ls7e_ard_3-0-0_108083_2017-11-30_final
2017-12-16 11:13:29	ga_ls7e_ard_3-0-0_108083_2017-12-16_final
2018-01-01 11:13:18	ga_ls7e_ard_3-0-0_108083_2018-01-01_final
2018-01-17 11:13:04	ga_ls7e_ard_3-0-0_108083_2018-01-17_final
2018-02-02 11:12:49	ga_ls7e_ard_3-0-0_108083_2018-02-02_final
2018-02-18 11:12:37	ga_ls7e_ard_3-0-0_108083_2018-02-18_final
2018-03-06 11:12:27	ga_ls7e_ard_3-0-0_108083_2018-03-06_final
2018-03-22 11:12:15	ga_ls7e_ard_3-0-0_108083_2018-03-22_final
2018-04-23 11:11:45	ga_ls7e_ard_3-0-0_108083_2018-04-23_final
2018-05-09 11:11:26	ga_ls7e_ard_3-0-0_108083_2018-05-09_final
2018-06-26 11:10:38	ga_ls7e_ard_3-0-0_108083_2018-06-26_final
2018-07-12 11:10:19	ga_ls7e_ard_3-0-0_108083_2018-07-12_final
2018-07-28 11:10:02	ga_ls7e_ard_3-0-0_108083_2018-07-28_final
2018-08-13 11:09:45	ga_ls7e_ard_3-0-0_108083_2018-08-13_final
2018-08-29 11:09:26	ga_ls7e_ard_3-0-0_108083_2018-08-29_final
2018-09-14 11:09:05	ga_ls7e_ard_3-0-0_108083_2018-09-14_final
2018-10-16 11:08:18	ga_ls7e_ard_3-0-0_108083_2018-10-16_final
2018-11-01 11:07:58	ga_ls7e_ard_3-0-0_108083_2018-11-01_final
2018-12-03 11:07:12	ga_ls7e_ard_3-0-0_108083_2018-12-03_final
2019-01-04 11:06:16	ga_ls7e_ard_3-0-0_108083_2019-01-04_final
2019-02-05 11:05:16	ga_ls7e_ard_3-0-0_108083_2019-02-05_final
2019-02-21 11:04:47	ga_ls7e_ard_3-1-0_108083_2019-02-21_final
2019-03-25 11:03:45	ga_ls7e_ard_3-1-0_108083_2019-03-25_final
2019-04-10 11:03:12	ga_ls7e_ard_3-0-0_108083_2019-04-10_final
2019-04-26 11:02:37	ga_ls7e_ard_3-0-0_108083_2019-04-26_final
2019-05-12 11:02:00	ga_ls7e_ard_3-0-0_108083_2019-05-12_final
2019-05-28 11:01:24	ga_ls7e_ard_3-0-0_108083_2019-05-28_final
2019-06-13 11:00:50	ga_ls7e_ard_3-0-0_108083_2019-06-13_final
2021-03-14 10:24:17	ga_ls7e_ard_3-2-0_108083_2021-03-14_final
2021-03-30 10:22:59	ga_ls7e_ard_3-2-0_108083_2021-03-30_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-05-01 10:20:18	ga_ls7e_ard_3-2-0_108083_2021-05-01_final
2021-05-17 10:18:58	ga_ls7e_ard_3-2-0_108083_2021-05-17_final
2021-06-02 10:17:36	ga_ls7e_ard_3-2-0_108083_2021-06-02_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-21 10:10:47	ga_ls7e_ard_3-2-0_108083_2021-08-21_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-22 10:07:59	ga_ls7e_ard_3-2-0_108083_2021-09-22_final
2021-10-24 10:05:08	ga_ls7e_ard_3-2-0_108083_2021-10-24_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-12-11 10:00:34	ga_ls7e_ard_3-2-1_108083_2021-12-11_final
2021-12-27 09:59:01	ga_ls7e_ard_3-2-1_108083_2021-12-27_final
2022-01-12 09:57:27	ga_ls7e_ard_3-2-1_108083_2022-01-12_final
2022-01-28 09:55:54	ga_ls7e_ard_3-2-1_108083_2022-01-28_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-17 09:51:07	ga_ls7e_ard_3-2-1_108083_2022-03-17_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