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
2014-04-12 11:04:58	ga_ls7e_ard_3-1-0_108075_2014-04-12_final
2014-07-17 11:05:28	ga_ls7e_ard_3-1-0_108075_2014-07-17_final
2015-05-01 11:07:15	ga_ls7e_ard_3-1-0_108075_2015-05-01_final
2015-06-18 11:07:33	ga_ls7e_ard_3-1-0_108075_2015-06-18_final
2015-07-04 11:07:37	ga_ls7e_ard_3-0-0_108075_2015-07-04_final
2015-07-20 11:07:41	ga_ls7e_ard_3-1-0_108075_2015-07-20_final
2015-08-05 11:07:45	ga_ls7e_ard_3-0-0_108075_2015-08-05_final
2015-08-21 11:07:47	ga_ls7e_ard_3-1-0_108075_2015-08-21_final
2015-09-06 11:07:49	ga_ls7e_ard_3-1-0_108075_2015-09-06_final
2015-09-22 11:07:54	ga_ls7e_ard_3-1-0_108075_2015-09-22_final
2015-10-08 11:08:00	ga_ls7e_ard_3-1-0_108075_2015-10-08_final
2015-10-24 11:08:18	ga_ls7e_ard_3-1-0_108075_2015-10-24_final
2015-11-09 11:08:32	ga_ls7e_ard_3-0-0_108075_2015-11-09_final
2015-12-11 11:09:03	ga_ls7e_ard_3-0-0_108075_2015-12-11_final
2015-12-27 11:09:16	ga_ls7e_ard_3-0-0_108075_2015-12-27_final
2016-01-12 11:09:32	ga_ls7e_ard_3-0-0_108075_2016-01-12_final
2016-02-13 11:09:49	ga_ls7e_ard_3-1-0_108075_2016-02-13_final
2016-03-16 11:10:02	ga_ls7e_ard_3-1-0_108075_2016-03-16_final
2016-04-01 11:10:06	ga_ls7e_ard_3-1-0_108075_2016-04-01_final
2016-04-17 11:10:13	ga_ls7e_ard_3-1-0_108075_2016-04-17_final
2016-06-04 11:10:27	ga_ls7e_ard_3-0-0_108075_2016-06-04_final
2016-06-20 11:10:30	ga_ls7e_ard_3-1-0_108075_2016-06-20_final
2016-07-06 11:10:30	ga_ls7e_ard_3-1-0_108075_2016-07-06_final
2016-07-22 11:10:32	ga_ls7e_ard_3-1-0_108075_2016-07-22_final
2016-08-07 11:10:34	ga_ls7e_ard_3-0-0_108075_2016-08-07_final
2016-08-23 11:10:36	ga_ls7e_ard_3-0-0_108075_2016-08-23_final
2016-09-08 11:10:39	ga_ls7e_ard_3-1-0_108075_2016-09-08_final
2016-09-24 11:10:41	ga_ls7e_ard_3-1-0_108075_2016-09-24_final
2016-10-10 11:10:42	ga_ls7e_ard_3-1-0_108075_2016-10-10_final
2016-10-26 11:10:39	ga_ls7e_ard_3-1-0_108075_2016-10-26_final
2016-11-11 11:10:31	ga_ls7e_ard_3-1-0_108075_2016-11-11_final
2016-11-27 11:10:28	ga_ls7e_ard_3-1-0_108075_2016-11-27_final
2016-12-13 11:10:24	ga_ls7e_ard_3-0-0_108075_2016-12-13_final
2016-12-29 11:10:17	ga_ls7e_ard_3-1-0_108075_2016-12-29_final
2017-01-30 11:09:57	ga_ls7e_ard_3-1-0_108075_2017-01-30_final
2017-02-15 11:09:54	ga_ls7e_ard_3-1-0_108075_2017-02-15_final
2017-03-03 11:10:02	ga_ls7e_ard_3-0-0_108075_2017-03-03_final
2017-03-19 11:10:08	ga_ls7e_ard_3-1-0_108075_2017-03-19_final
2017-04-04 11:10:12	ga_ls7e_ard_3-0-0_108075_2017-04-04_final
2017-04-20 11:10:19	ga_ls7e_ard_3-0-0_108075_2017-04-20_final
2017-05-06 11:10:24	ga_ls7e_ard_3-1-0_108075_2017-05-06_final
2017-05-22 11:10:27	ga_ls7e_ard_3-1-0_108075_2017-05-22_final
2017-06-07 11:10:32	ga_ls7e_ard_3-1-0_108075_2017-06-07_final
2017-06-23 11:10:35	ga_ls7e_ard_3-0-0_108075_2017-06-23_final
2017-07-09 11:10:36	ga_ls7e_ard_3-1-0_108075_2017-07-09_final
2017-07-25 11:10:36	ga_ls7e_ard_3-1-0_108075_2017-07-25_final
2017-08-10 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-10_final
2017-08-26 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-26_final
2017-09-11 11:10:32	ga_ls7e_ard_3-0-0_108075_2017-09-11_final
2017-10-13 11:10:34	ga_ls7e_ard_3-1-0_108075_2017-10-13_final
2017-11-30 11:10:27	ga_ls7e_ard_3-1-0_108075_2017-11-30_final
2017-12-16 11:10:18	ga_ls7e_ard_3-1-0_108075_2017-12-16_final
2018-01-01 11:10:07	ga_ls7e_ard_3-1-0_108075_2018-01-01_final
2018-01-17 11:09:53	ga_ls7e_ard_3-1-0_108075_2018-01-17_final
2018-03-06 11:09:16	ga_ls7e_ard_3-1-0_108075_2018-03-06_final
2018-04-23 11:08:33	ga_ls7e_ard_3-1-0_108075_2018-04-23_final
2018-05-09 11:08:15	ga_ls7e_ard_3-1-0_108075_2018-05-09_final
2018-05-25 11:08:01	ga_ls7e_ard_3-1-0_108075_2018-05-25_final
2018-06-10 11:07:45	ga_ls7e_ard_3-1-0_108075_2018-06-10_final
2018-07-12 11:07:07	ga_ls7e_ard_3-1-0_108075_2018-07-12_final
2018-07-28 11:06:51	ga_ls7e_ard_3-1-0_108075_2018-07-28_final
2018-08-29 11:06:14	ga_ls7e_ard_3-1-0_108075_2018-08-29_final
2018-09-14 11:05:53	ga_ls7e_ard_3-0-0_108075_2018-09-14_final
2018-09-30 11:05:31	ga_ls7e_ard_3-0-0_108075_2018-09-30_final
2018-11-01 11:04:47	ga_ls7e_ard_3-0-0_108075_2018-11-01_final
2018-11-17 11:04:24	ga_ls7e_ard_3-1-0_108075_2018-11-17_final
2018-12-19 11:03:33	ga_ls7e_ard_3-1-0_108075_2018-12-19_final
2019-01-04 11:03:05	ga_ls7e_ard_3-0-0_108075_2019-01-04_final
2019-01-20 11:02:34	ga_ls7e_ard_3-1-0_108075_2019-01-20_final
2019-02-05 11:02:04	ga_ls7e_ard_3-1-0_108075_2019-02-05_final
2019-03-25 11:00:34	ga_ls7e_ard_3-1-0_108075_2019-03-25_final
2019-04-10 11:00:00	ga_ls7e_ard_3-0-0_108075_2019-04-10_final
2019-04-26 10:59:25	ga_ls7e_ard_3-1-0_108075_2019-04-26_final
2019-06-13 10:57:38	ga_ls7e_ard_3-1-0_108075_2019-06-13_final
2019-06-29 10:57:02	ga_ls7e_ard_3-1-0_108075_2019-06-29_final
2019-08-16 10:55:07	ga_ls7e_ard_3-1-0_108075_2019-08-16_final
2019-09-17 10:53:44	ga_ls7e_ard_3-1-0_108075_2019-09-17_final
2019-10-19 10:52:23	ga_ls7e_ard_3-1-0_108075_2019-10-19_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-03-30 10:19:48	ga_ls7e_ard_3-2-0_108075_2021-03-30_final
2021-04-15 10:18:28	ga_ls7e_ard_3-2-0_108075_2021-04-15_final
2021-05-01 10:17:07	ga_ls7e_ard_3-2-0_108075_2021-05-01_final
2021-05-17 10:15:47	ga_ls7e_ard_3-2-0_108075_2021-05-17_final
2021-06-02 10:14:24	ga_ls7e_ard_3-2-0_108075_2021-06-02_final
2021-07-04 10:11:46	ga_ls7e_ard_3-2-0_108075_2021-07-04_final
2021-07-20 10:10:24	ga_ls7e_ard_3-2-0_108075_2021-07-20_final
2021-08-05 10:09:00	ga_ls7e_ard_3-2-0_108075_2021-08-05_final
2021-08-21 10:07:36	ga_ls7e_ard_3-2-0_108075_2021-08-21_final
2021-09-06 10:06:13	ga_ls7e_ard_3-2-0_108075_2021-09-06_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-10-08 10:03:22	ga_ls7e_ard_3-2-0_108075_2021-10-08_final
2021-10-24 10:01:56	ga_ls7e_ard_3-2-0_108075_2021-10-24_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-25 09:58:53	ga_ls7e_ard_3-2-1_108075_2021-11-25_final
2021-12-11 09:57:23	ga_ls7e_ard_3-2-1_108075_2021-12-11_final
2021-12-27 09:55:49	ga_ls7e_ard_3-2-1_108075_2021-12-27_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-02-13 09:51:05	ga_ls7e_ard_3-2-1_108075_2022-02-13_final
2022-03-01 09:49:32	ga_ls7e_ard_3-2-1_108075_2022-03-01_final
2022-03-17 09:47:56	ga_ls7e_ard_3-2-1_108075_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