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
2014-01-04 11:15:09	ga_ls7e_ard_3-0-0_110071_2014-01-04_final
2014-03-25 11:15:37	ga_ls7e_ard_3-0-0_110071_2014-03-25_final
2014-06-13 11:16:07	ga_ls7e_ard_3-0-0_110071_2014-06-13_final
2014-06-29 11:16:12	ga_ls7e_ard_3-0-0_110071_2014-06-29_final
2014-07-15 11:16:13	ga_ls7e_ard_3-0-0_110071_2014-07-15_final
2015-01-23 11:17:17	ga_ls7e_ard_3-0-0_110071_2015-01-23_final
2015-03-12 11:17:37	ga_ls7e_ard_3-0-0_110071_2015-03-12_final
2015-06-16 11:18:19	ga_ls7e_ard_3-0-0_110071_2015-06-16_final
2015-10-06 11:18:43	ga_ls7e_ard_3-0-0_110071_2015-10-06_final
2015-10-22 11:19:02	ga_ls7e_ard_3-0-0_110071_2015-10-22_final
2015-11-07 11:19:16	ga_ls7e_ard_3-0-0_110071_2015-11-07_final
2015-12-09 11:19:47	ga_ls7e_ard_3-0-0_110071_2015-12-09_final
2016-01-10 11:20:16	ga_ls7e_ard_3-0-0_110071_2016-01-10_final
2016-02-11 11:20:34	ga_ls7e_ard_3-0-0_110071_2016-02-11_final
2016-03-30 11:20:52	ga_ls7e_ard_3-0-0_110071_2016-03-30_final
2016-04-15 11:20:58	ga_ls7e_ard_3-0-0_110071_2016-04-15_final
2016-05-01 11:21:05	ga_ls7e_ard_3-0-0_110071_2016-05-01_final
2016-05-17 11:21:06	ga_ls7e_ard_3-0-0_110071_2016-05-17_final
2016-06-02 11:21:13	ga_ls7e_ard_3-0-0_110071_2016-06-02_final
2016-06-18 11:21:16	ga_ls7e_ard_3-0-0_110071_2016-06-18_final
2016-07-04 11:21:16	ga_ls7e_ard_3-0-0_110071_2016-07-04_final
2016-07-20 11:21:17	ga_ls7e_ard_3-0-0_110071_2016-07-20_final
2016-08-05 11:21:20	ga_ls7e_ard_3-0-0_110071_2016-08-05_final
2016-08-21 11:21:21	ga_ls7e_ard_3-0-0_110071_2016-08-21_final
2016-09-06 11:21:24	ga_ls7e_ard_3-0-0_110071_2016-09-06_final
2016-09-22 11:21:26	ga_ls7e_ard_3-0-0_110071_2016-09-22_final
2016-10-08 11:21:28	ga_ls7e_ard_3-0-0_110071_2016-10-08_final
2016-10-24 11:21:25	ga_ls7e_ard_3-0-0_110071_2016-10-24_final
2016-11-09 11:21:18	ga_ls7e_ard_3-0-0_110071_2016-11-09_final
2016-11-25 11:21:14	ga_ls7e_ard_3-0-0_110071_2016-11-25_final
2016-12-11 11:21:10	ga_ls7e_ard_3-0-0_110071_2016-12-11_final
2017-01-12 11:20:53	ga_ls7e_ard_3-0-0_110071_2017-01-12_final
2017-01-28 11:20:44	ga_ls7e_ard_3-0-0_110071_2017-01-28_final
2017-03-01 11:20:47	ga_ls7e_ard_3-0-0_110071_2017-03-01_final
2017-03-17 11:20:53	ga_ls7e_ard_3-0-0_110071_2017-03-17_final
2017-04-02 11:20:57	ga_ls7e_ard_3-0-0_110071_2017-04-02_final
2017-04-18 11:21:04	ga_ls7e_ard_3-0-0_110071_2017-04-18_final
2017-05-04 11:21:10	ga_ls7e_ard_3-0-0_110071_2017-05-04_final
2017-05-20 11:21:12	ga_ls7e_ard_3-0-0_110071_2017-05-20_final
2017-06-05 11:21:17	ga_ls7e_ard_3-0-0_110071_2017-06-05_final
2017-06-21 11:21:20	ga_ls7e_ard_3-0-0_110071_2017-06-21_final
2017-07-07 11:21:22	ga_ls7e_ard_3-0-0_110071_2017-07-07_final
2017-07-23 11:21:22	ga_ls7e_ard_3-0-0_110071_2017-07-23_final
2017-08-08 11:21:20	ga_ls7e_ard_3-0-0_110071_2017-08-08_final
2017-08-24 11:21:19	ga_ls7e_ard_3-0-0_110071_2017-08-24_final
2017-09-09 11:21:19	ga_ls7e_ard_3-0-0_110071_2017-09-09_final
2017-09-25 11:21:18	ga_ls7e_ard_3-0-0_110071_2017-09-25_final
2017-10-11 11:21:20	ga_ls7e_ard_3-0-0_110071_2017-10-11_final
2017-10-27 11:21:21	ga_ls7e_ard_3-0-0_110071_2017-10-27_final
2017-11-12 11:21:19	ga_ls7e_ard_3-0-0_110071_2017-11-12_final
2017-11-28 11:21:13	ga_ls7e_ard_3-0-0_110071_2017-11-28_final
2017-12-14 11:21:05	ga_ls7e_ard_3-0-0_110071_2017-12-14_final
2017-12-30 11:20:54	ga_ls7e_ard_3-0-0_110071_2017-12-30_final
2018-01-15 11:20:41	ga_ls7e_ard_3-0-0_110071_2018-01-15_final
2018-03-04 11:20:03	ga_ls7e_ard_3-0-0_110071_2018-03-04_final
2018-03-20 11:19:51	ga_ls7e_ard_3-0-0_110071_2018-03-20_final
2018-04-05 11:19:37	ga_ls7e_ard_3-0-0_110071_2018-04-05_final
2018-04-21 11:19:21	ga_ls7e_ard_3-0-0_110071_2018-04-21_final
2018-05-07 11:19:03	ga_ls7e_ard_3-0-0_110071_2018-05-07_final
2018-05-23 11:18:48	ga_ls7e_ard_3-0-0_110071_2018-05-23_final
2018-06-08 11:18:33	ga_ls7e_ard_3-0-0_110071_2018-06-08_final
2018-07-10 11:17:55	ga_ls7e_ard_3-0-0_110071_2018-07-10_final
2018-08-11 11:17:21	ga_ls7e_ard_3-0-0_110071_2018-08-11_final
2018-08-27 11:17:02	ga_ls7e_ard_3-0-0_110071_2018-08-27_final
2018-12-17 11:14:23	ga_ls7e_ard_3-0-0_110071_2018-12-17_final
2019-01-18 11:13:24	ga_ls7e_ard_3-0-0_110071_2019-01-18_final
2019-02-19 11:12:25	ga_ls7e_ard_3-1-0_110071_2019-02-19_final
2019-05-10 11:09:39	ga_ls7e_ard_3-0-0_110071_2019-05-10_final
2019-06-27 11:07:53	ga_ls7e_ard_3-0-0_110071_2019-06-27_final
2019-07-13 11:07:16	ga_ls7e_ard_3-0-0_110071_2019-07-13_final
2019-08-14 11:05:58	ga_ls7e_ard_3-0-0_110071_2019-08-14_final
2019-09-15 11:04:35	ga_ls7e_ard_3-1-0_110071_2019-09-15_final
2019-10-01 11:03:54	ga_ls7e_ard_3-1-0_110071_2019-10-01_final
2019-11-02 11:02:32	ga_ls7e_ard_3-1-0_110071_2019-11-02_final
2019-12-20 11:00:14	ga_ls7e_ard_3-1-0_110071_2019-12-20_final
2020-02-22 10:56:58	ga_ls7e_ard_3-1-0_110071_2020-02-22_final
2020-05-28 10:51:25	ga_ls7e_ard_3-1-0_110071_2020-05-28_final
2020-07-15 10:48:35	ga_ls7e_ard_3-1-0_110071_2020-07-15_final
2021-03-28 10:30:43	ga_ls7e_ard_3-2-0_110071_2021-03-28_final
2021-04-13 10:29:24	ga_ls7e_ard_3-2-0_110071_2021-04-13_final
2021-04-29 10:28:03	ga_ls7e_ard_3-2-0_110071_2021-04-29_final
2021-05-15 10:26:43	ga_ls7e_ard_3-2-0_110071_2021-05-15_final
2021-05-31 10:25:20	ga_ls7e_ard_3-2-0_110071_2021-05-31_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-07-02 10:22:42	ga_ls7e_ard_3-2-0_110071_2021-07-02_final
2021-07-18 10:21:21	ga_ls7e_ard_3-2-0_110071_2021-07-18_final
2021-08-03 10:19:57	ga_ls7e_ard_3-2-0_110071_2021-08-03_final
2021-08-19 10:18:32	ga_ls7e_ard_3-2-0_110071_2021-08-19_final
2021-09-04 10:17:09	ga_ls7e_ard_3-2-0_110071_2021-09-04_final
2021-09-20 10:15:44	ga_ls7e_ard_3-2-0_110071_2021-09-20_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-22 10:12:53	ga_ls7e_ard_3-2-0_110071_2021-10-22_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-23 10:09:50	ga_ls7e_ard_3-2-1_110071_2021-11-23_final
2021-12-09 10:08:20	ga_ls7e_ard_3-2-1_110071_2021-12-09_final
2021-12-25 10:06:47	ga_ls7e_ard_3-2-1_110071_2021-12-25_final
2022-01-10 10:05:12	ga_ls7e_ard_3-2-1_110071_2022-01-10_final
2022-01-26 10:03:40	ga_ls7e_ard_3-2-1_110071_2022-01-26_final
2022-02-11 10:02:03	ga_ls7e_ard_3-2-1_110071_2022-02-11_final
2022-03-15 09:58:54	ga_ls7e_ard_3-2-1_110071_2022-03-15_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