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
2014-12-19 10:47:31	ga_ls7e_ard_3-0-0_105074_2014-12-19_final
2015-02-05 10:47:42	ga_ls7e_ard_3-0-0_105074_2015-02-05_final
2015-06-29 10:48:38	ga_ls7e_ard_3-0-0_105074_2015-06-29_final
2015-09-17 10:48:56	ga_ls7e_ard_3-0-0_105074_2015-09-17_final
2015-12-22 10:50:17	ga_ls7e_ard_3-0-0_105074_2015-12-22_final
2016-01-23 10:50:44	ga_ls7e_ard_3-0-0_105074_2016-01-23_final
2016-05-30 10:51:29	ga_ls7e_ard_3-0-0_105074_2016-05-30_final
2016-07-01 10:51:34	ga_ls7e_ard_3-0-0_105074_2016-07-01_final
2016-07-17 10:51:34	ga_ls7e_ard_3-0-0_105074_2016-07-17_final
2016-08-02 10:51:37	ga_ls7e_ard_3-0-0_105074_2016-08-02_final
2016-08-18 10:51:38	ga_ls7e_ard_3-0-0_105074_2016-08-18_final
2016-09-03 10:51:42	ga_ls7e_ard_3-0-0_105074_2016-09-03_final
2016-10-05 10:51:46	ga_ls7e_ard_3-0-0_105074_2016-10-05_final
2016-11-06 10:51:38	ga_ls7e_ard_3-0-0_105074_2016-11-06_final
2016-12-08 10:51:29	ga_ls7e_ard_3-0-0_105074_2016-12-08_final
2017-01-09 10:51:13	ga_ls7e_ard_3-0-0_105074_2017-01-09_final
2017-02-10 10:50:54	ga_ls7e_ard_3-0-0_105074_2017-02-10_final
2017-03-14 10:51:10	ga_ls7e_ard_3-0-0_105074_2017-03-14_final
2017-03-30 10:51:15	ga_ls7e_ard_3-0-0_105074_2017-03-30_final
2017-04-15 10:51:21	ga_ls7e_ard_3-0-0_105074_2017-04-15_final
2017-05-17 10:51:30	ga_ls7e_ard_3-0-0_105074_2017-05-17_final
2017-06-02 10:51:34	ga_ls7e_ard_3-0-0_105074_2017-06-02_final
2017-06-18 10:51:38	ga_ls7e_ard_3-0-0_105074_2017-06-18_final
2017-07-20 10:51:40	ga_ls7e_ard_3-0-0_105074_2017-07-20_final
2017-08-21 10:51:37	ga_ls7e_ard_3-0-0_105074_2017-08-21_final
2017-09-22 10:51:35	ga_ls7e_ard_3-0-0_105074_2017-09-22_final
2017-10-08 10:51:37	ga_ls7e_ard_3-0-0_105074_2017-10-08_final
2017-11-09 10:51:37	ga_ls7e_ard_3-0-0_105074_2017-11-09_final
2017-12-11 10:51:25	ga_ls7e_ard_3-0-0_105074_2017-12-11_final
2018-01-12 10:51:01	ga_ls7e_ard_3-0-0_105074_2018-01-12_final
2018-02-13 10:50:32	ga_ls7e_ard_3-0-0_105074_2018-02-13_final
2018-04-18 10:49:42	ga_ls7e_ard_3-0-0_105074_2018-04-18_final
2018-05-04 10:49:24	ga_ls7e_ard_3-0-0_105074_2018-05-04_final
2018-05-20 10:49:09	ga_ls7e_ard_3-0-0_105074_2018-05-20_final
2018-06-05 10:48:53	ga_ls7e_ard_3-0-0_105074_2018-06-05_final
2018-06-21 10:48:36	ga_ls7e_ard_3-0-0_105074_2018-06-21_final
2018-08-08 10:47:42	ga_ls7e_ard_3-0-0_105074_2018-08-08_final
2018-09-09 10:47:04	ga_ls7e_ard_3-0-0_105074_2018-09-09_final
2018-09-25 10:46:42	ga_ls7e_ard_3-0-0_105074_2018-09-25_final
2018-11-12 10:45:35	ga_ls7e_ard_3-0-0_105074_2018-11-12_final
2018-11-28 10:45:11	ga_ls7e_ard_3-0-0_105074_2018-11-28_final
2018-12-30 10:44:18	ga_ls7e_ard_3-0-0_105074_2018-12-30_final
2019-01-15 10:43:48	ga_ls7e_ard_3-0-0_105074_2019-01-15_final
2019-01-31 10:43:16	ga_ls7e_ard_3-0-0_105074_2019-01-31_final
2019-02-16 10:42:48	ga_ls7e_ard_3-1-0_105074_2019-02-16_final
2019-03-04 10:42:19	ga_ls7e_ard_3-1-0_105074_2019-03-04_final
2019-03-20 10:41:47	ga_ls7e_ard_3-1-0_105074_2019-03-20_final
2019-04-05 10:41:15	ga_ls7e_ard_3-0-0_105074_2019-04-05_final
2019-05-07 10:40:04	ga_ls7e_ard_3-0-0_105074_2019-05-07_final
2019-06-08 10:38:53	ga_ls7e_ard_3-0-0_105074_2019-06-08_final
2019-07-10 10:37:41	ga_ls7e_ard_3-0-0_105074_2019-07-10_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2019-08-27 10:35:43	ga_ls7e_ard_3-1-0_105074_2019-08-27_final
2019-09-12 10:35:01	ga_ls7e_ard_3-1-0_105074_2019-09-12_final
2019-09-28 10:34:19	ga_ls7e_ard_3-1-0_105074_2019-09-28_final
2019-10-14 10:33:39	ga_ls7e_ard_3-1-0_105074_2019-10-14_final
2019-10-30 10:32:58	ga_ls7e_ard_3-1-0_105074_2019-10-30_final
2019-12-01 10:31:29	ga_ls7e_ard_3-1-0_105074_2019-12-01_final
2020-01-18 10:29:03	ga_ls7e_ard_3-1-0_105074_2020-01-18_final
2020-02-19 10:27:25	ga_ls7e_ard_3-1-0_105074_2020-02-19_final
2020-03-06 10:26:34	ga_ls7e_ard_3-1-0_105074_2020-03-06_final
2020-04-23 10:23:51	ga_ls7e_ard_3-1-0_105074_2020-04-23_final
2020-05-09 10:22:53	ga_ls7e_ard_3-1-0_105074_2020-05-09_final
2020-05-25 10:21:54	ga_ls7e_ard_3-1-0_105074_2020-05-25_final
2020-06-10 10:20:58	ga_ls7e_ard_3-1-0_105074_2020-06-10_final
2020-07-12 10:19:04	ga_ls7e_ard_3-1-0_105074_2020-07-12_final
2020-07-28 10:18:05	ga_ls7e_ard_3-1-0_105074_2020-07-28_final
2020-08-13 10:17:04	ga_ls7e_ard_3-1-0_105074_2020-08-13_final
2020-08-29 10:16:02	ga_ls7e_ard_3-1-0_105074_2020-08-29_final
2020-09-14 10:14:59	ga_ls7e_ard_3-1-0_105074_2020-09-14_final
2020-09-30 10:13:57	ga_ls7e_ard_3-1-0_105074_2020-09-30_final
2020-11-01 10:11:52	ga_ls7e_ard_3-1-0_105074_2020-11-01_final
2020-12-03 10:09:37	ga_ls7e_ard_3-1-0_105074_2020-12-03_final
2020-12-19 10:08:25	ga_ls7e_ard_3-1-0_105074_2020-12-19_final
2021-01-04 10:07:17	ga_ls7e_ard_3-1-0_105074_2021-01-04_final
2021-01-20 10:06:09	ga_ls7e_ard_3-2-0_105074_2021-01-20_final
2021-02-05 10:04:59	ga_ls7e_ard_3-2-0_105074_2021-02-05_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-03-09 10:02:33	ga_ls7e_ard_3-2-0_105074_2021-03-09_final
2021-03-25 10:01:16	ga_ls7e_ard_3-2-0_105074_2021-03-25_final
2021-04-10 09:59:57	ga_ls7e_ard_3-2-0_105074_2021-04-10_final
2021-04-26 09:58:36	ga_ls7e_ard_3-2-0_105074_2021-04-26_final
2021-05-12 09:57:16	ga_ls7e_ard_3-2-0_105074_2021-05-12_final
2021-05-28 09:55:54	ga_ls7e_ard_3-2-0_105074_2021-05-28_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-07-15 09:51:54	ga_ls7e_ard_3-2-0_105074_2021-07-15_final
2021-07-31 09:50:31	ga_ls7e_ard_3-2-0_105074_2021-07-31_final
2021-08-16 09:49:05	ga_ls7e_ard_3-2-0_105074_2021-08-16_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-11-04 09:41:59	ga_ls7e_ard_3-2-0_105074_2021-11-04_final
2021-11-20 09:40:25	ga_ls7e_ard_3-2-1_105074_2021-11-20_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-22 09:37:23	ga_ls7e_ard_3-2-1_105074_2021-12-22_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-12 09:29:30	ga_ls7e_ard_3-2-1_105074_2022-03-11_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