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
2013-10-02 11:01:22	ga_ls7e_ard_3-0-0_108069_2013-10-02_final
2013-10-18 11:01:35	ga_ls7e_ard_3-0-0_108069_2013-10-18_final
2013-11-03 11:01:39	ga_ls7e_ard_3-0-0_108069_2013-11-03_final
2014-02-23 11:02:16	ga_ls7e_ard_3-0-0_108069_2014-02-23_final
2014-09-03 11:03:11	ga_ls7e_ard_3-0-0_108069_2014-09-03_final
2014-09-19 11:03:15	ga_ls7e_ard_3-0-0_108069_2014-09-19_final
2015-03-30 11:04:36	ga_ls7e_ard_3-0-0_108069_2015-03-30_final
2015-05-01 11:04:51	ga_ls7e_ard_3-0-0_108069_2015-05-01_final
2015-11-25 11:06:24	ga_ls7e_ard_3-0-0_108069_2015-11-25_final
2015-12-11 11:06:39	ga_ls7e_ard_3-0-0_108069_2015-12-11_final
2016-01-12 11:07:08	ga_ls7e_ard_3-0-0_108069_2016-01-12_final
2016-01-28 11:07:19	ga_ls7e_ard_3-0-0_108069_2016-01-28_final
2016-02-13 11:07:25	ga_ls7e_ard_3-0-0_108069_2016-02-13_final
2016-03-16 11:07:39	ga_ls7e_ard_3-0-0_108069_2016-03-16_final
2016-06-04 11:08:04	ga_ls7e_ard_3-0-0_108069_2016-06-04_final
2016-08-07 11:08:10	ga_ls7e_ard_3-0-0_108069_2016-08-07_final
2016-08-23 11:08:12	ga_ls7e_ard_3-0-0_108069_2016-08-23_final
2016-09-08 11:08:15	ga_ls7e_ard_3-0-0_108069_2016-09-08_final
2016-09-24 11:08:17	ga_ls7e_ard_3-0-0_108069_2016-09-24_final
2016-10-26 11:08:15	ga_ls7e_ard_3-0-0_108069_2016-10-26_final
2016-11-11 11:08:08	ga_ls7e_ard_3-0-0_108069_2016-11-11_final
2016-11-27 11:08:04	ga_ls7e_ard_3-0-0_108069_2016-11-27_final
2016-12-13 11:08:00	ga_ls7e_ard_3-0-0_108069_2016-12-13_final
2017-03-03 11:07:39	ga_ls7e_ard_3-0-0_108069_2017-03-03_final
2017-04-04 11:07:48	ga_ls7e_ard_3-0-0_108069_2017-04-04_final
2017-04-20 11:07:56	ga_ls7e_ard_3-0-0_108069_2017-04-20_final
2017-05-06 11:08:01	ga_ls7e_ard_3-0-0_108069_2017-05-06_final
2017-05-22 11:08:03	ga_ls7e_ard_3-0-0_108069_2017-05-22_final
2017-06-07 11:08:08	ga_ls7e_ard_3-0-0_108069_2017-06-07_final
2017-07-09 11:08:13	ga_ls7e_ard_3-0-0_108069_2017-07-09_final
2017-07-25 11:08:12	ga_ls7e_ard_3-0-0_108069_2017-07-25_final
2017-08-10 11:08:10	ga_ls7e_ard_3-0-0_108069_2017-08-10_final
2017-08-26 11:08:10	ga_ls7e_ard_3-0-0_108069_2017-08-26_final
2017-09-11 11:08:09	ga_ls7e_ard_3-0-0_108069_2017-09-11_final
2017-09-27 11:08:08	ga_ls7e_ard_3-0-0_108069_2017-09-27_final
2017-10-29 11:08:11	ga_ls7e_ard_3-0-0_108069_2017-10-29_final
2017-11-14 11:08:09	ga_ls7e_ard_3-0-0_108069_2017-11-14_final
2017-12-16 11:07:54	ga_ls7e_ard_3-0-0_108069_2017-12-16_final
2018-01-01 11:07:43	ga_ls7e_ard_3-0-0_108069_2018-01-01_final
2018-03-22 11:06:40	ga_ls7e_ard_3-0-0_108069_2018-03-22_final
2018-04-23 11:06:09	ga_ls7e_ard_3-0-0_108069_2018-04-23_final
2018-05-09 11:05:51	ga_ls7e_ard_3-0-0_108069_2018-05-09_final
2018-05-25 11:05:37	ga_ls7e_ard_3-0-0_108069_2018-05-25_final
2018-06-10 11:05:21	ga_ls7e_ard_3-0-0_108069_2018-06-10_final
2018-06-26 11:05:03	ga_ls7e_ard_3-0-0_108069_2018-06-26_final
2018-07-12 11:04:43	ga_ls7e_ard_3-0-0_108069_2018-07-12_final
2018-07-28 11:04:27	ga_ls7e_ard_3-0-0_108069_2018-07-28_final
2018-08-29 11:03:50	ga_ls7e_ard_3-0-0_108069_2018-08-29_final
2018-09-14 11:03:30	ga_ls7e_ard_3-0-0_108069_2018-09-14_final
2018-09-30 11:03:07	ga_ls7e_ard_3-0-0_108069_2018-09-30_final
2018-10-16 11:02:43	ga_ls7e_ard_3-0-0_108069_2018-10-16_final
2018-11-01 11:02:23	ga_ls7e_ard_3-0-0_108069_2018-11-01_final
2019-01-04 11:00:41	ga_ls7e_ard_3-0-0_108069_2019-01-04_final
2019-01-20 11:00:11	ga_ls7e_ard_3-0-0_108069_2019-01-20_final
2019-03-09 10:58:42	ga_ls7e_ard_3-1-0_108069_2019-03-09_final
2019-04-26 10:57:02	ga_ls7e_ard_3-0-0_108069_2019-04-26_final
2019-05-28 10:55:49	ga_ls7e_ard_3-0-0_108069_2019-05-28_final
2019-06-13 10:55:14	ga_ls7e_ard_3-0-0_108069_2019-06-13_final
2019-06-29 10:54:39	ga_ls7e_ard_3-0-0_108069_2019-06-29_final
2019-07-15 10:54:02	ga_ls7e_ard_3-0-0_108069_2019-07-15_final
2019-07-31 10:53:23	ga_ls7e_ard_3-0-0_108069_2019-07-31_final
2019-08-16 10:52:44	ga_ls7e_ard_3-0-0_108069_2019-08-16_final
2019-09-01 10:52:03	ga_ls7e_ard_3-1-0_108069_2019-09-01_final
2019-09-17 10:51:21	ga_ls7e_ard_3-1-0_108069_2019-09-17_final
2019-10-03 10:50:40	ga_ls7e_ard_3-1-0_108069_2019-10-03_final
2019-10-19 10:49:59	ga_ls7e_ard_3-1-0_108069_2019-10-19_final
2019-11-04 10:49:17	ga_ls7e_ard_3-1-0_108069_2019-11-04_final
2019-11-20 10:48:33	ga_ls7e_ard_3-1-0_108069_2019-11-20_final
2019-12-06 10:47:47	ga_ls7e_ard_3-1-0_108069_2019-12-06_final
2019-12-22 10:46:58	ga_ls7e_ard_3-1-0_108069_2019-12-22_final
2020-03-11 10:42:50	ga_ls7e_ard_3-1-0_108069_2020-03-11_final
2020-03-27 10:41:57	ga_ls7e_ard_3-1-0_108069_2020-03-27_final
2020-04-28 10:40:06	ga_ls7e_ard_3-1-0_108069_2020-04-28_final
2020-05-14 10:39:08	ga_ls7e_ard_3-1-0_108069_2020-05-14_final
2020-05-30 10:38:09	ga_ls7e_ard_3-1-0_108069_2020-05-30_final
2020-06-15 10:37:14	ga_ls7e_ard_3-1-0_108069_2020-06-15_final
2020-07-01 10:36:17	ga_ls7e_ard_3-1-0_108069_2020-07-01_final
2020-07-17 10:35:18	ga_ls7e_ard_3-1-0_108069_2020-07-17_final
2020-08-02 10:34:19	ga_ls7e_ard_3-1-0_108069_2020-08-02_final
2020-09-03 10:32:16	ga_ls7e_ard_3-1-0_108069_2020-09-03_final
2020-09-19 10:31:12	ga_ls7e_ard_3-1-0_108069_2020-09-19_final
2020-10-05 10:30:11	ga_ls7e_ard_3-1-0_108069_2020-10-05_final
2020-10-21 10:29:08	ga_ls7e_ard_3-1-0_108069_2020-10-21_final
2020-11-06 10:28:04	ga_ls7e_ard_3-1-0_108069_2020-11-06_final
2021-02-26 10:19:57	ga_ls7e_ard_3-2-0_108069_2021-02-26_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-05-01 10:14:43	ga_ls7e_ard_3-2-0_108069_2021-05-01_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-09-06 10:03:49	ga_ls7e_ard_3-2-0_108069_2021-09-06_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-10-24 09:59:33	ga_ls7e_ard_3-2-0_108069_2021-10-24_final
2021-11-09 09:58:03	ga_ls7e_ard_3-2-0_108069_2021-11-09_final
2021-11-25 09:56:29	ga_ls7e_ard_3-2-1_108069_2021-11-25_final
2022-01-12 09:51:52	ga_ls7e_ard_3-2-1_108069_2022-01-12_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