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
2014-03-07 11:29:04	ga_ls7e_ard_3-0-0_112074_2014-03-07_final
2014-04-24 11:29:27	ga_ls7e_ard_3-0-0_112074_2014-04-24_final
2014-05-10 11:29:32	ga_ls7e_ard_3-0-0_112074_2014-05-10_final
2014-06-27 11:29:44	ga_ls7e_ard_3-0-0_112074_2014-06-27_final
2014-07-29 11:29:53	ga_ls7e_ard_3-0-0_112074_2014-07-29_final
2014-08-14 11:29:55	ga_ls7e_ard_3-0-0_112074_2014-08-14_final
2014-10-01 11:30:07	ga_ls7e_ard_3-0-0_112074_2014-10-01_final
2014-12-04 11:30:39	ga_ls7e_ard_3-1-0_112074_2014-12-04_final
2014-12-20 11:30:48	ga_ls7e_ard_3-0-0_112074_2014-12-20_final
2015-01-05 11:30:49	ga_ls7e_ard_3-0-0_112074_2015-01-05_final
2015-02-22 11:31:04	ga_ls7e_ard_3-0-0_112074_2015-02-22_final
2015-03-10 11:31:09	ga_ls7e_ard_3-0-0_112074_2015-03-10_final
2015-04-11 11:31:27	ga_ls7e_ard_3-0-0_112074_2015-04-11_final
2015-05-29 11:31:45	ga_ls7e_ard_3-1-0_112074_2015-05-29_final
2015-06-30 11:31:55	ga_ls7e_ard_3-0-0_112074_2015-06-30_final
2015-08-17 11:32:07	ga_ls7e_ard_3-0-0_112074_2015-08-17_final
2015-09-02 11:32:06	ga_ls7e_ard_3-0-0_112074_2015-09-02_final
2015-09-18 11:32:13	ga_ls7e_ard_3-0-0_112074_2015-09-18_final
2015-10-20 11:32:33	ga_ls7e_ard_3-0-0_112074_2015-10-20_final
2015-11-05 11:32:46	ga_ls7e_ard_3-0-0_112074_2015-11-05_final
2015-11-21 11:33:04	ga_ls7e_ard_3-0-0_112074_2015-11-21_final
2015-12-07 11:33:18	ga_ls7e_ard_3-0-0_112074_2015-12-07_final
2016-01-24 11:34:00	ga_ls7e_ard_3-0-0_112074_2016-01-24_final
2016-02-25 11:34:09	ga_ls7e_ard_3-0-0_112074_2016-02-25_final
2016-04-13 11:34:31	ga_ls7e_ard_3-0-0_112074_2016-04-13_final
2016-04-29 11:34:37	ga_ls7e_ard_3-1-0_112074_2016-04-29_final
2016-05-15 11:34:40	ga_ls7e_ard_3-0-0_112074_2016-05-15_final
2016-05-31 11:34:45	ga_ls7e_ard_3-0-0_112074_2016-05-31_final
2016-07-18 11:34:50	ga_ls7e_ard_3-0-0_112074_2016-07-18_final
2016-08-03 11:34:53	ga_ls7e_ard_3-0-0_112074_2016-08-03_final
2016-08-19 11:34:54	ga_ls7e_ard_3-0-0_112074_2016-08-19_final
2016-09-04 11:34:58	ga_ls7e_ard_3-0-0_112074_2016-09-04_final
2016-09-20 11:35:00	ga_ls7e_ard_3-0-0_112074_2016-09-20_final
2016-10-06 11:35:01	ga_ls7e_ard_3-0-0_112074_2016-10-06_final
2016-10-22 11:34:59	ga_ls7e_ard_3-0-0_112074_2016-10-22_final
2016-11-07 11:34:53	ga_ls7e_ard_3-0-0_112074_2016-11-07_final
2016-11-23 11:34:48	ga_ls7e_ard_3-0-0_112074_2016-11-23_final
2016-12-25 11:34:38	ga_ls7e_ard_3-0-0_112074_2016-12-25_final
2017-01-10 11:34:28	ga_ls7e_ard_3-0-0_112074_2017-01-10_final
2017-01-26 11:34:17	ga_ls7e_ard_3-0-0_112074_2017-01-26_final
2017-02-11 11:34:10	ga_ls7e_ard_3-0-0_112074_2017-02-11_final
2017-02-27 11:34:20	ga_ls7e_ard_3-0-0_112074_2017-02-27_final
2017-03-15 11:34:26	ga_ls7e_ard_3-0-0_112074_2017-03-15_final
2017-03-31 11:34:30	ga_ls7e_ard_3-0-0_112074_2017-03-31_final
2017-04-16 11:34:37	ga_ls7e_ard_3-0-0_112074_2017-04-16_final
2017-05-02 11:34:43	ga_ls7e_ard_3-0-0_112074_2017-05-02_final
2017-05-18 11:34:46	ga_ls7e_ard_3-0-0_112074_2017-05-18_final
2017-06-03 11:34:50	ga_ls7e_ard_3-0-0_112074_2017-06-03_final
2017-06-19 11:34:54	ga_ls7e_ard_3-0-0_112074_2017-06-19_final
2017-07-05 11:34:55	ga_ls7e_ard_3-0-0_112074_2017-07-05_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-08-06 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-06_final
2017-08-22 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-08-22_final
2017-09-23 11:34:51	ga_ls7e_ard_3-1-0_112074_2017-09-23_final
2017-10-09 11:34:53	ga_ls7e_ard_3-1-0_112074_2017-10-09_final
2017-10-25 11:34:54	ga_ls7e_ard_3-0-0_112074_2017-10-25_final
2017-11-10 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-11-10_final
2017-11-26 11:34:48	ga_ls7e_ard_3-1-0_112074_2017-11-26_final
2017-12-12 11:34:40	ga_ls7e_ard_3-0-0_112074_2017-12-12_final
2017-12-28 11:34:29	ga_ls7e_ard_3-0-0_112074_2017-12-28_final
2018-02-14 11:33:48	ga_ls7e_ard_3-0-0_112074_2018-02-14_final
2018-03-02 11:33:38	ga_ls7e_ard_3-1-0_112074_2018-03-02_final
2018-03-18 11:33:26	ga_ls7e_ard_3-0-0_112074_2018-03-18_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-04-19 11:32:57	ga_ls7e_ard_3-0-0_112074_2018-04-19_final
2018-05-05 11:32:39	ga_ls7e_ard_3-0-0_112074_2018-05-05_final
2018-05-21 11:32:24	ga_ls7e_ard_3-0-0_112074_2018-05-21_final
2018-06-22 11:31:51	ga_ls7e_ard_3-0-0_112074_2018-06-22_final
2018-07-08 11:31:31	ga_ls7e_ard_3-0-0_112074_2018-07-08_final
2018-07-24 11:31:14	ga_ls7e_ard_3-0-0_112074_2018-07-24_final
2018-08-09 11:30:57	ga_ls7e_ard_3-0-0_112074_2018-08-09_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-12-31 11:27:31	ga_ls7e_ard_3-0-0_112074_2018-12-31_final
2019-02-01 11:26:30	ga_ls7e_ard_3-0-0_112074_2019-02-01_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-05-24 11:22:40	ga_ls7e_ard_3-0-0_112074_2019-05-24_final
2019-06-25 11:21:31	ga_ls7e_ard_3-0-0_112074_2019-06-25_final
2019-07-11 11:20:54	ga_ls7e_ard_3-0-0_112074_2019-07-11_final
2019-07-27 11:20:16	ga_ls7e_ard_3-0-0_112074_2019-07-27_final
2019-08-12 11:19:37	ga_ls7e_ard_3-0-0_112074_2019-08-12_final
2019-12-18 11:13:53	ga_ls7e_ard_3-1-0_112074_2019-12-18_final
2020-03-07 11:09:46	ga_ls7e_ard_3-1-0_112074_2020-03-07_final
2020-03-23 11:08:54	ga_ls7e_ard_3-1-0_112074_2020-03-23_final
2020-07-29 11:01:17	ga_ls7e_ard_3-1-0_112074_2020-07-29_final
2020-08-14 11:00:16	ga_ls7e_ard_3-1-0_112074_2020-08-14_final
2020-08-30 10:59:14	ga_ls7e_ard_3-1-0_112074_2020-08-30_final
2020-09-15 10:58:11	ga_ls7e_ard_3-1-0_112074_2020-09-15_final
2021-09-02 10:30:53	ga_ls7e_ard_3-2-0_112074_2021-09-02_final
2021-09-18 10:29:28	ga_ls7e_ard_3-2-0_112074_2021-09-18_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-20 10:26:37	ga_ls7e_ard_3-2-0_112074_2021-10-20_final
2021-11-05 10:25:09	ga_ls7e_ard_3-2-0_112074_2021-11-05_final
2021-11-21 10:23:35	ga_ls7e_ard_3-2-1_112074_2021-11-21_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-23 10:20:32	ga_ls7e_ard_3-2-1_112074_2021-12-23_final
2022-01-08 10:18:57	ga_ls7e_ard_3-2-1_112074_2022-01-08_final
2022-01-24 10:17:26	ga_ls7e_ard_3-2-1_112074_2022-01-24_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-25 10:14:14	ga_ls7e_ard_3-2-1_112074_2022-02-25_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_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