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
2013-02-23 09:57:43	ga_ls7e_ard_3-0-0_097079_2013-02-23_final
2013-03-11 09:57:42	ga_ls7e_ard_3-0-0_097079_2013-03-11_final
2013-10-21 09:57:36	ga_ls7e_ard_3-0-0_097079_2013-10-21_final
2014-05-17 09:58:53	ga_ls7e_ard_3-0-0_097079_2014-05-17_final
2014-06-02 09:58:57	ga_ls7e_ard_3-0-0_097079_2014-06-02_final
2014-10-24 09:59:39	ga_ls7e_ard_3-0-0_097079_2014-10-24_final
2014-11-25 09:59:51	ga_ls7e_ard_3-0-0_097079_2014-11-25_final
2015-01-12 10:00:08	ga_ls7e_ard_3-0-0_097079_2015-01-12_final
2015-03-01 10:00:25	ga_ls7e_ard_3-0-0_097079_2015-03-01_final
2015-05-04 10:00:53	ga_ls7e_ard_3-0-0_097079_2015-05-04_final
2015-06-05 10:01:07	ga_ls7e_ard_3-0-0_097079_2015-06-05_final
2015-07-07 10:01:15	ga_ls7e_ard_3-0-0_097079_2015-07-07_final
2015-07-23 10:01:18	ga_ls7e_ard_3-0-0_097079_2015-07-23_final
2015-08-08 10:01:22	ga_ls7e_ard_3-0-0_097079_2015-08-08_final
2015-08-24 10:01:24	ga_ls7e_ard_3-0-0_097079_2015-08-24_final
2015-09-25 10:01:31	ga_ls7e_ard_3-0-0_097079_2015-09-25_final
2015-10-11 10:01:40	ga_ls7e_ard_3-0-0_097079_2015-10-11_final
2015-11-12 10:02:13	ga_ls7e_ard_3-0-0_097079_2015-11-12_final
2015-12-30 10:02:55	ga_ls7e_ard_3-0-0_097079_2015-12-30_final
2016-01-15 10:03:11	ga_ls7e_ard_3-0-0_097079_2016-01-15_final
2016-02-16 10:03:26	ga_ls7e_ard_3-0-0_097079_2016-02-16_final
2016-03-03 10:03:32	ga_ls7e_ard_3-0-0_097079_2016-03-03_final
2016-03-19 10:03:40	ga_ls7e_ard_3-0-0_097079_2016-03-19_final
2016-04-04 10:03:44	ga_ls7e_ard_3-0-0_097079_2016-04-04_final
2016-05-22 10:03:59	ga_ls7e_ard_3-0-0_097079_2016-05-22_final
2016-06-07 10:04:05	ga_ls7e_ard_3-0-0_097079_2016-06-07_final
2016-07-09 10:04:07	ga_ls7e_ard_3-0-0_097079_2016-07-09_final
2016-07-25 10:04:09	ga_ls7e_ard_3-0-0_097079_2016-07-25_final
2016-08-10 10:04:11	ga_ls7e_ard_3-0-0_097079_2016-08-10_final
2016-08-26 10:04:13	ga_ls7e_ard_3-0-0_097079_2016-08-26_final
2016-09-27 10:04:18	ga_ls7e_ard_3-0-0_097079_2016-09-27_final
2016-10-13 10:04:18	ga_ls7e_ard_3-0-0_097079_2016-10-13_final
2016-10-29 10:04:14	ga_ls7e_ard_3-0-0_097079_2016-10-29_final
2016-11-30 10:04:04	ga_ls7e_ard_3-0-0_097079_2016-11-30_final
2016-12-16 10:03:59	ga_ls7e_ard_3-0-0_097079_2016-12-16_final
2017-01-17 10:03:41	ga_ls7e_ard_3-0-0_097079_2017-01-17_final
2017-03-06 10:03:40	ga_ls7e_ard_3-0-0_097079_2017-03-06_final
2017-04-23 10:03:57	ga_ls7e_ard_3-0-0_097079_2017-04-23_final
2017-05-09 10:04:02	ga_ls7e_ard_3-0-0_097079_2017-05-09_final
2017-05-25 10:04:04	ga_ls7e_ard_3-0-0_097079_2017-05-25_final
2017-06-10 10:04:09	ga_ls7e_ard_3-0-0_097079_2017-06-10_final
2017-06-26 10:04:12	ga_ls7e_ard_3-0-0_097079_2017-06-26_final
2017-07-12 10:04:13	ga_ls7e_ard_3-0-0_097079_2017-07-12_final
2017-07-28 10:04:12	ga_ls7e_ard_3-0-0_097079_2017-07-28_final
2017-08-13 10:04:10	ga_ls7e_ard_3-0-0_097079_2017-08-13_final
2018-03-25 10:02:38	ga_ls7e_ard_3-0-0_097079_2018-03-25_final
2018-10-03 09:59:03	ga_ls7e_ard_3-0-0_097079_2018-10-03_final
2018-12-06 09:57:32	ga_ls7e_ard_3-0-0_097079_2018-12-06_final
2019-06-16 09:51:08	ga_ls7e_ard_3-0-0_097079_2019-06-16_final
2019-10-06 09:46:33	ga_ls7e_ard_3-1-0_097079_2019-10-06_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-11-07 09:45:10	ga_ls7e_ard_3-1-0_097079_2019-11-07_final
2019-11-23 09:44:25	ga_ls7e_ard_3-1-0_097079_2019-11-23_final
2019-12-09 09:43:38	ga_ls7e_ard_3-1-0_097079_2019-12-09_final
2019-12-25 09:42:49	ga_ls7e_ard_3-1-0_097079_2019-12-25_final
2020-01-10 09:41:59	ga_ls7e_ard_3-1-0_097079_2020-01-10_final
2020-01-26 09:41:12	ga_ls7e_ard_3-1-0_097079_2020-01-26_final
2020-02-11 09:40:24	ga_ls7e_ard_3-1-0_097079_2020-02-11_final
2020-02-27 09:39:33	ga_ls7e_ard_3-1-0_097079_2020-02-27_final
2020-03-14 09:38:41	ga_ls7e_ard_3-1-0_097079_2020-03-14_final
2020-03-30 09:37:48	ga_ls7e_ard_3-1-0_097079_2020-03-30_final
2020-04-15 09:36:53	ga_ls7e_ard_3-1-0_097079_2020-04-15_final
2020-05-01 09:35:56	ga_ls7e_ard_3-1-0_097079_2020-05-01_final
2020-05-17 09:34:57	ga_ls7e_ard_3-1-0_097079_2020-05-17_final
2020-06-02 09:33:59	ga_ls7e_ard_3-1-0_097079_2020-06-02_final
2020-06-18 09:33:04	ga_ls7e_ard_3-1-0_097079_2020-06-18_final
2020-07-04 09:32:06	ga_ls7e_ard_3-1-0_097079_2020-07-04_final
2020-07-20 09:31:08	ga_ls7e_ard_3-1-0_097079_2020-07-20_final
2020-08-05 09:30:08	ga_ls7e_ard_3-1-0_097079_2020-08-05_final
2020-08-21 09:29:07	ga_ls7e_ard_3-1-0_097079_2020-08-20_final
2020-09-06 09:28:04	ga_ls7e_ard_3-1-0_097079_2020-09-05_final
2020-09-22 09:27:00	ga_ls7e_ard_3-1-0_097079_2020-09-21_final
2020-10-08 09:26:00	ga_ls7e_ard_3-1-0_097079_2020-10-07_final
2020-10-24 09:24:57	ga_ls7e_ard_3-1-0_097079_2020-10-23_final
2020-11-09 09:23:53	ga_ls7e_ard_3-1-0_097079_2020-11-08_final
2020-11-25 09:22:45	ga_ls7e_ard_3-1-0_097079_2020-11-24_final
2020-12-11 09:21:34	ga_ls7e_ard_3-1-0_097079_2020-12-10_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-17 09:14:28	ga_ls7e_ard_3-2-0_097079_2021-03-16_final
2021-04-02 09:13:10	ga_ls7e_ard_3-2-0_097079_2021-04-01_final
2021-04-18 09:11:50	ga_ls7e_ard_3-2-0_097079_2021-04-17_final
2021-05-04 09:10:29	ga_ls7e_ard_3-2-0_097079_2021-05-03_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-06-05 09:07:47	ga_ls7e_ard_3-2-0_097079_2021-06-04_final
2021-06-21 09:06:29	ga_ls7e_ard_3-2-0_097079_2021-06-20_final
2021-07-07 09:05:08	ga_ls7e_ard_3-2-0_097079_2021-07-06_final
2021-07-23 09:03:46	ga_ls7e_ard_3-2-0_097079_2021-07-22_final
2021-08-08 09:02:22	ga_ls7e_ard_3-2-0_097079_2021-08-07_final
2021-08-24 09:00:57	ga_ls7e_ard_3-2-0_097079_2021-08-23_final
2021-09-09 08:59:34	ga_ls7e_ard_3-2-0_097079_2021-09-08_final
2021-09-25 08:58:08	ga_ls7e_ard_3-2-0_097079_2021-09-24_final
2021-10-27 08:55:17	ga_ls7e_ard_3-2-0_097079_2021-10-26_final
2021-11-28 08:52:13	ga_ls7e_ard_3-2-1_097079_2021-11-27_final
2021-12-14 08:50:43	ga_ls7e_ard_3-2-1_097079_2021-12-13_final
2021-12-30 08:49:08	ga_ls7e_ard_3-2-1_097079_2021-12-29_final
2022-01-15 08:47:35	ga_ls7e_ard_3-2-1_097079_2022-01-14_final
2022-01-31 08:46:02	ga_ls7e_ard_3-2-1_097079_2022-01-30_final
2022-02-16 08:44:23	ga_ls7e_ard_3-2-1_097079_2022-02-15_final
2022-03-04 08:42:51	ga_ls7e_ard_3-2-1_097079_2022-03-03_final
2022-03-20 08:41:16	ga_ls7e_ard_3-2-1_097079_2022-03-19_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