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
2013-05-11 09:27:19	ga_ls7e_ard_3-0-0_092081_2013-05-10_final
2013-05-27 09:27:15	ga_ls7e_ard_3-0-0_092081_2013-05-26_final
2013-06-12 09:27:08	ga_ls7e_ard_3-0-0_092081_2013-06-11_final
2013-10-02 09:27:16	ga_ls7e_ard_3-0-0_092081_2013-10-01_final
2013-11-19 09:27:37	ga_ls7e_ard_3-0-0_092081_2013-11-18_final
2013-12-05 09:27:47	ga_ls7e_ard_3-0-0_092081_2013-12-04_final
2014-01-06 09:27:54	ga_ls7e_ard_3-0-0_092081_2014-01-05_final
2014-02-23 09:28:10	ga_ls7e_ard_3-0-0_092081_2014-02-22_final
2014-04-28 09:28:40	ga_ls7e_ard_3-0-0_092081_2014-04-27_final
2014-05-14 09:28:46	ga_ls7e_ard_3-0-0_092081_2014-05-13_final
2014-06-15 09:28:51	ga_ls7e_ard_3-0-0_092081_2014-06-14_final
2014-07-17 09:28:59	ga_ls7e_ard_3-0-0_092081_2014-07-16_final
2014-08-18 09:29:06	ga_ls7e_ard_3-0-0_092081_2014-08-17_final
2014-09-03 09:29:06	ga_ls7e_ard_3-0-0_092081_2014-09-02_final
2014-10-05 09:29:22	ga_ls7e_ard_3-0-0_092081_2014-10-04_final
2014-10-21 09:29:31	ga_ls7e_ard_3-0-0_092081_2014-10-20_final
2014-11-22 09:29:43	ga_ls7e_ard_3-0-0_092081_2014-11-21_final
2015-01-09 09:30:01	ga_ls7e_ard_3-1-0_092081_2015-01-09_final
2015-01-25 09:30:03	ga_ls7e_ard_3-1-0_092081_2015-01-25_final
2015-02-26 09:30:17	ga_ls7e_ard_3-0-0_092081_2015-02-26_final
2015-03-14 09:30:23	ga_ls7e_ard_3-0-0_092081_2015-03-14_final
2015-04-15 09:30:40	ga_ls7e_ard_3-0-0_092081_2015-04-15_final
2015-05-17 09:30:54	ga_ls7e_ard_3-0-0_092081_2015-05-17_final
2015-07-04 09:31:07	ga_ls7e_ard_3-0-0_092081_2015-07-04_final
2015-07-20 09:31:12	ga_ls7e_ard_3-0-0_092081_2015-07-20_final
2015-08-05 09:31:15	ga_ls7e_ard_3-0-0_092081_2015-08-05_final
2015-08-21 09:31:18	ga_ls7e_ard_3-0-0_092081_2015-08-21_final
2015-09-06 09:31:19	ga_ls7e_ard_3-0-0_092081_2015-09-06_final
2015-09-22 09:31:25	ga_ls7e_ard_3-0-0_092081_2015-09-22_final
2015-10-08 09:31:30	ga_ls7e_ard_3-0-0_092081_2015-10-08_final
2015-10-24 09:31:48	ga_ls7e_ard_3-0-0_092081_2015-10-24_final
2015-11-09 09:32:03	ga_ls7e_ard_3-0-0_092081_2015-11-09_final
2015-11-25 09:32:18	ga_ls7e_ard_3-0-0_092081_2015-11-25_final
2015-12-11 09:32:33	ga_ls7e_ard_3-0-0_092081_2015-12-11_final
2015-12-27 09:32:47	ga_ls7e_ard_3-0-0_092081_2015-12-27_final
2016-02-13 09:33:19	ga_ls7e_ard_3-0-0_092081_2016-02-13_final
2016-02-29 09:33:24	ga_ls7e_ard_3-0-0_092081_2016-02-29_final
2016-03-16 09:33:33	ga_ls7e_ard_3-0-0_092081_2016-03-16_final
2016-04-01 09:33:37	ga_ls7e_ard_3-0-0_092081_2016-04-01_final
2016-04-17 09:33:44	ga_ls7e_ard_3-0-0_092081_2016-04-17_final
2016-05-03 09:33:50	ga_ls7e_ard_3-0-0_092081_2016-05-03_final
2016-05-19 09:33:52	ga_ls7e_ard_3-0-0_092081_2016-05-19_final
2016-07-06 09:34:01	ga_ls7e_ard_3-0-0_092081_2016-07-06_final
2016-07-22 09:34:02	ga_ls7e_ard_3-0-0_092081_2016-07-22_final
2016-08-07 09:34:04	ga_ls7e_ard_3-0-0_092081_2016-08-07_final
2016-09-08 09:34:09	ga_ls7e_ard_3-0-0_092081_2016-09-08_final
2016-09-24 09:34:12	ga_ls7e_ard_3-0-0_092081_2016-09-24_final
2016-10-10 09:34:13	ga_ls7e_ard_3-0-0_092081_2016-10-10_final
2016-10-26 09:34:09	ga_ls7e_ard_3-0-0_092081_2016-10-26_final
2016-11-11 09:34:02	ga_ls7e_ard_3-0-0_092081_2016-11-11_final
2016-11-27 09:33:58	ga_ls7e_ard_3-0-0_092081_2016-11-27_final
2016-12-13 09:33:54	ga_ls7e_ard_3-0-0_092081_2016-12-13_final
2016-12-29 09:33:47	ga_ls7e_ard_3-0-0_092081_2016-12-29_final
2017-01-14 09:33:37	ga_ls7e_ard_3-0-0_092081_2017-01-14_final
2017-01-30 09:33:28	ga_ls7e_ard_3-0-0_092081_2017-01-30_final
2017-02-15 09:33:24	ga_ls7e_ard_3-0-0_092081_2017-02-15_final
2017-03-03 09:33:33	ga_ls7e_ard_3-0-0_092081_2017-03-03_final
2017-03-19 09:33:39	ga_ls7e_ard_3-0-0_092081_2017-03-19_final
2017-04-04 09:33:42	ga_ls7e_ard_3-0-0_092081_2017-04-04_final
2017-04-20 09:33:50	ga_ls7e_ard_3-0-0_092081_2017-04-20_final
2017-05-06 09:33:55	ga_ls7e_ard_3-0-0_092081_2017-05-06_final
2017-05-22 09:33:57	ga_ls7e_ard_3-0-0_092081_2017-05-22_final
2017-06-07 09:34:02	ga_ls7e_ard_3-0-0_092081_2017-06-07_final
2017-06-23 09:34:05	ga_ls7e_ard_3-0-0_092081_2017-06-23_final
2017-07-09 09:34:07	ga_ls7e_ard_3-0-0_092081_2017-07-09_final
2017-07-25 09:34:06	ga_ls7e_ard_3-0-0_092081_2017-07-25_final
2017-08-10 09:34:04	ga_ls7e_ard_3-0-0_092081_2017-08-10_final
2017-08-26 09:34:04	ga_ls7e_ard_3-0-0_092081_2017-08-26_final
2017-10-29 09:34:06	ga_ls7e_ard_3-0-0_092081_2017-10-29_final
2019-02-21 09:25:06	ga_ls7e_ard_3-1-0_092081_2019-02-20_final
2019-07-15 09:19:56	ga_ls7e_ard_3-0-0_092081_2019-07-14_final
2019-09-01 09:17:57	ga_ls7e_ard_3-1-0_092081_2019-08-31_final
2019-11-20 09:14:27	ga_ls7e_ard_3-1-0_092081_2019-11-19_final
2020-12-08 08:51:42	ga_ls7e_ard_3-1-0_092081_2020-12-07_final
2020-12-24 08:50:29	ga_ls7e_ard_3-1-0_092081_2020-12-23_final
2021-01-09 08:49:23	ga_ls7e_ard_3-1-0_092081_2021-01-08_final
2021-01-25 08:48:15	ga_ls7e_ard_3-2-0_092081_2021-01-24_final
2021-02-10 08:47:04	ga_ls7e_ard_3-2-0_092081_2021-02-09_final
2021-02-26 08:45:51	ga_ls7e_ard_3-2-0_092081_2021-02-25_final
2021-03-30 08:43:19	ga_ls7e_ard_3-2-0_092081_2021-03-29_final
2021-04-15 08:41:59	ga_ls7e_ard_3-2-0_092081_2021-04-14_final
2021-05-01 08:40:38	ga_ls7e_ard_3-2-0_092081_2021-04-30_final
2021-05-17 08:39:18	ga_ls7e_ard_3-2-0_092081_2021-05-16_final
2021-06-02 08:37:55	ga_ls7e_ard_3-2-0_092081_2021-06-01_final
2021-06-18 08:36:37	ga_ls7e_ard_3-2-0_092081_2021-06-17_final
2021-07-04 08:35:17	ga_ls7e_ard_3-2-0_092081_2021-07-03_final
2021-07-20 08:33:55	ga_ls7e_ard_3-2-0_092081_2021-07-19_final
2021-08-05 08:32:31	ga_ls7e_ard_3-2-0_092081_2021-08-04_final
2021-08-21 08:31:07	ga_ls7e_ard_3-2-0_092081_2021-08-20_final
2021-09-06 08:29:44	ga_ls7e_ard_3-2-0_092081_2021-09-05_final
2021-09-22 08:28:18	ga_ls7e_ard_3-2-0_092081_2021-09-21_final
2021-10-08 08:26:53	ga_ls7e_ard_3-2-0_092081_2021-10-07_final
2021-10-24 08:25:27	ga_ls7e_ard_3-2-0_092081_2021-10-23_final
2021-11-09 08:23:57	ga_ls7e_ard_3-2-0_092081_2021-11-08_final
2021-12-11 08:20:54	ga_ls7e_ard_3-2-1_092081_2021-12-10_final
2021-12-27 08:19:20	ga_ls7e_ard_3-2-1_092081_2021-12-26_final
2022-01-12 08:17:46	ga_ls7e_ard_3-2-1_092081_2022-01-11_final
2022-01-28 08:16:14	ga_ls7e_ard_3-2-1_092081_2022-01-27_final
2022-03-01 08:13:03	ga_ls7e_ard_3-2-1_092081_2022-02-28_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years