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
2014-03-11 09:27:04	ga_ls7e_ard_3-0-0_092078_2014-03-10_final
2014-06-15 09:27:39	ga_ls7e_ard_3-0-0_092078_2014-06-14_final
2014-07-01 09:27:45	ga_ls7e_ard_3-0-0_092078_2014-06-30_final
2014-07-17 09:27:47	ga_ls7e_ard_3-0-0_092078_2014-07-16_final
2014-08-18 09:27:54	ga_ls7e_ard_3-0-0_092078_2014-08-17_final
2014-10-05 09:28:10	ga_ls7e_ard_3-0-0_092078_2014-10-04_final
2014-10-21 09:28:19	ga_ls7e_ard_3-0-0_092078_2014-10-20_final
2015-01-09 09:28:49	ga_ls7e_ard_3-0-0_092078_2015-01-08_final
2015-02-26 09:29:06	ga_ls7e_ard_3-0-0_092078_2015-02-25_final
2015-03-14 09:29:12	ga_ls7e_ard_3-0-0_092078_2015-03-13_final
2015-03-30 09:29:19	ga_ls7e_ard_3-0-0_092078_2015-03-29_final
2015-06-18 09:29:52	ga_ls7e_ard_3-1-0_092078_2015-06-17_final
2015-07-04 09:29:55	ga_ls7e_ard_3-1-0_092078_2015-07-03_final
2015-07-20 09:30:00	ga_ls7e_ard_3-1-0_092078_2015-07-20_final
2015-08-05 09:30:04	ga_ls7e_ard_3-1-0_092078_2015-08-05_final
2015-10-24 09:30:36	ga_ls7e_ard_3-0-0_092078_2015-10-24_final
2016-02-13 09:32:08	ga_ls7e_ard_3-0-0_092078_2016-02-13_final
2016-02-29 09:32:12	ga_ls7e_ard_3-0-0_092078_2016-02-29_final
2016-04-01 09:32:25	ga_ls7e_ard_3-0-0_092078_2016-04-01_final
2016-04-17 09:32:32	ga_ls7e_ard_3-0-0_092078_2016-04-17_final
2016-05-03 09:32:38	ga_ls7e_ard_3-0-0_092078_2016-05-03_final
2016-05-19 09:32:40	ga_ls7e_ard_3-0-0_092078_2016-05-19_final
2016-06-20 09:32:49	ga_ls7e_ard_3-0-0_092078_2016-06-20_final
2016-07-22 09:32:51	ga_ls7e_ard_3-0-0_092078_2016-07-22_final
2016-08-07 09:32:53	ga_ls7e_ard_3-0-0_092078_2016-08-07_final
2016-09-08 09:32:58	ga_ls7e_ard_3-0-0_092078_2016-09-08_final
2016-09-24 09:33:00	ga_ls7e_ard_3-0-0_092078_2016-09-24_final
2016-10-10 09:33:01	ga_ls7e_ard_3-0-0_092078_2016-10-10_final
2016-11-11 09:32:50	ga_ls7e_ard_3-0-0_092078_2016-11-11_final
2016-11-27 09:32:47	ga_ls7e_ard_3-0-0_092078_2016-11-27_final
2016-12-13 09:32:42	ga_ls7e_ard_3-0-0_092078_2016-12-13_final
2017-01-14 09:32:25	ga_ls7e_ard_3-0-0_092078_2017-01-14_final
2017-01-30 09:32:16	ga_ls7e_ard_3-0-0_092078_2017-01-30_final
2017-02-15 09:32:12	ga_ls7e_ard_3-0-0_092078_2017-02-15_final
2017-03-03 09:32:21	ga_ls7e_ard_3-0-0_092078_2017-03-03_final
2017-03-19 09:32:27	ga_ls7e_ard_3-0-0_092078_2017-03-19_final
2017-04-04 09:32:30	ga_ls7e_ard_3-0-0_092078_2017-04-04_final
2017-04-20 09:32:38	ga_ls7e_ard_3-0-0_092078_2017-04-20_final
2017-05-06 09:32:43	ga_ls7e_ard_3-0-0_092078_2017-05-06_final
2017-06-07 09:32:50	ga_ls7e_ard_3-0-0_092078_2017-06-07_final
2017-06-23 09:32:54	ga_ls7e_ard_3-0-0_092078_2017-06-23_final
2017-07-25 09:32:54	ga_ls7e_ard_3-0-0_092078_2017-07-25_final
2017-08-10 09:32:52	ga_ls7e_ard_3-0-0_092078_2017-08-10_final
2017-09-11 09:32:51	ga_ls7e_ard_3-0-0_092078_2017-09-11_final
2017-09-27 09:32:51	ga_ls7e_ard_3-0-0_092078_2017-09-27_final
2017-10-29 09:32:54	ga_ls7e_ard_3-0-0_092078_2017-10-29_final
2017-12-16 09:32:37	ga_ls7e_ard_3-0-0_092078_2017-12-16_final
2018-01-17 09:32:12	ga_ls7e_ard_3-0-0_092078_2018-01-17_final
2018-02-18 09:31:45	ga_ls7e_ard_3-0-0_092078_2018-02-18_final
2018-04-07 09:31:08	ga_ls7e_ard_3-0-0_092078_2018-04-07_final
2018-04-23 09:30:52	ga_ls7e_ard_3-0-0_092078_2018-04-23_final
2018-05-09 09:30:34	ga_ls7e_ard_3-0-0_092078_2018-05-09_final
2018-05-25 09:30:20	ga_ls7e_ard_3-0-0_092078_2018-05-25_final
2018-06-10 09:30:03	ga_ls7e_ard_3-1-0_092078_2018-06-10_final
2018-07-12 09:29:26	ga_ls7e_ard_3-0-0_092078_2018-07-11_final
2018-08-29 09:28:33	ga_ls7e_ard_3-0-0_092078_2018-08-28_final
2019-01-20 09:24:53	ga_ls7e_ard_3-0-0_092078_2019-01-19_final
2019-02-05 09:24:23	ga_ls7e_ard_3-0-0_092078_2019-02-04_final
2019-03-25 09:22:53	ga_ls7e_ard_3-1-0_092078_2019-03-24_final
2019-04-10 09:22:19	ga_ls7e_ard_3-0-0_092078_2019-04-09_final
2019-05-12 09:21:07	ga_ls7e_ard_3-0-0_092078_2019-05-11_final
2019-06-13 09:19:57	ga_ls7e_ard_3-0-0_092078_2019-06-12_final
2019-09-17 09:16:03	ga_ls7e_ard_3-1-0_092078_2019-09-16_final
2019-10-19 09:14:42	ga_ls7e_ard_3-1-0_092078_2019-10-18_final
2019-12-06 09:12:29	ga_ls7e_ard_3-1-0_092078_2019-12-05_final
2020-03-11 09:07:33	ga_ls7e_ard_3-1-0_092078_2020-03-10_final
2020-04-12 09:05:45	ga_ls7e_ard_3-1-0_092078_2020-04-11_final
2020-04-28 09:04:49	ga_ls7e_ard_3-1-0_092078_2020-04-27_final
2020-06-15 09:01:56	ga_ls7e_ard_3-1-0_092078_2020-06-14_final
2020-07-01 09:00:59	ga_ls7e_ard_3-1-0_092078_2020-06-30_final
2020-07-17 09:00:01	ga_ls7e_ard_3-1-0_092078_2020-07-16_final
2020-08-02 08:59:01	ga_ls7e_ard_3-1-0_092078_2020-08-01_final
2020-09-03 08:56:58	ga_ls7e_ard_3-1-0_092078_2020-09-02_final
2020-10-21 08:53:51	ga_ls7e_ard_3-1-0_092078_2020-10-20_final
2020-11-06 08:52:47	ga_ls7e_ard_3-1-0_092078_2020-11-05_final
2020-11-22 08:51:40	ga_ls7e_ard_3-1-0_092078_2020-11-21_final
2020-12-24 08:49:18	ga_ls7e_ard_3-1-0_092078_2020-12-23_final
2021-01-25 08:47:03	ga_ls7e_ard_3-2-0_092078_2021-01-24_final
2021-02-10 08:45:52	ga_ls7e_ard_3-2-0_092078_2021-02-09_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-14 08:43:24	ga_ls7e_ard_3-2-0_092078_2021-03-13_final
2021-03-30 08:42:07	ga_ls7e_ard_3-2-0_092078_2021-03-29_final
2021-04-15 08:40:47	ga_ls7e_ard_3-2-0_092078_2021-04-14_final
2021-05-01 08:39:26	ga_ls7e_ard_3-2-0_092078_2021-04-30_final
2021-05-17 08:38:06	ga_ls7e_ard_3-2-0_092078_2021-05-16_final
2021-06-02 08:36:43	ga_ls7e_ard_3-2-0_092078_2021-06-01_final
2021-06-18 08:35:26	ga_ls7e_ard_3-2-0_092078_2021-06-17_final
2021-07-04 08:34:06	ga_ls7e_ard_3-2-0_092078_2021-07-03_final
2021-07-20 08:32:44	ga_ls7e_ard_3-2-0_092078_2021-07-19_final
2021-08-05 08:31:20	ga_ls7e_ard_3-2-0_092078_2021-08-04_final
2021-08-21 08:29:55	ga_ls7e_ard_3-2-0_092078_2021-08-20_final
2021-09-06 08:28:32	ga_ls7e_ard_3-2-0_092078_2021-09-05_final
2021-09-22 08:27:07	ga_ls7e_ard_3-2-0_092078_2021-09-21_final
2021-10-08 08:25:42	ga_ls7e_ard_3-2-0_092078_2021-10-07_final
2021-10-24 08:24:15	ga_ls7e_ard_3-2-0_092078_2021-10-23_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2022-01-12 08:16:34	ga_ls7e_ard_3-2-1_092078_2022-01-11_final
2022-01-28 08:15:02	ga_ls7e_ard_3-2-1_092078_2022-01-27_final
2022-03-01 08:11:51	ga_ls7e_ard_3-2-1_092078_2022-02-28_final
2022-03-17 08:10:15	ga_ls7e_ard_3-2-1_092078_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