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
2013-11-29 10:05:37	ga_ls7e_ard_3-0-0_098083_2013-11-29_final
2013-12-15 10:05:40	ga_ls7e_ard_3-0-0_098083_2013-12-15_final
2013-12-31 10:05:46	ga_ls7e_ard_3-0-0_098083_2013-12-31_final
2014-01-16 10:05:55	ga_ls7e_ard_3-0-0_098083_2014-01-16_final
2014-02-01 10:06:12	ga_ls7e_ard_3-0-0_098083_2014-02-01_final
2014-03-05 10:06:07	ga_ls7e_ard_3-0-0_098083_2014-03-05_final
2014-03-21 10:06:15	ga_ls7e_ard_3-0-0_098083_2014-03-21_final
2014-04-06 10:06:19	ga_ls7e_ard_3-0-0_098083_2014-04-06_final
2014-04-22 10:06:30	ga_ls7e_ard_3-0-0_098083_2014-04-22_final
2014-05-08 10:06:34	ga_ls7e_ard_3-0-0_098083_2014-05-08_final
2014-05-24 10:06:42	ga_ls7e_ard_3-0-0_098083_2014-05-24_final
2014-06-09 10:06:44	ga_ls7e_ard_3-0-0_098083_2014-06-09_final
2014-06-25 10:06:47	ga_ls7e_ard_3-0-0_098083_2014-06-25_final
2014-07-27 10:06:56	ga_ls7e_ard_3-0-0_098083_2014-07-27_final
2014-08-12 10:06:59	ga_ls7e_ard_3-0-0_098083_2014-08-12_final
2014-08-28 10:06:57	ga_ls7e_ard_3-0-0_098083_2014-08-28_final
2014-09-13 10:06:58	ga_ls7e_ard_3-0-0_098083_2014-09-13_final
2014-10-15 10:07:18	ga_ls7e_ard_3-0-0_098083_2014-10-15_final
2014-10-31 10:07:29	ga_ls7e_ard_3-0-0_098083_2014-10-31_final
2014-11-16 10:07:35	ga_ls7e_ard_3-0-0_098083_2014-11-16_final
2014-12-02 10:07:42	ga_ls7e_ard_3-0-0_098083_2014-12-02_final
2015-01-03 10:07:51	ga_ls7e_ard_3-0-0_098083_2015-01-03_final
2015-01-19 10:07:53	ga_ls7e_ard_3-0-0_098083_2015-01-19_final
2015-02-04 10:08:01	ga_ls7e_ard_3-0-0_098083_2015-02-04_final
2015-02-20 10:08:06	ga_ls7e_ard_3-0-0_098083_2015-02-20_final
2015-04-09 10:08:30	ga_ls7e_ard_3-0-0_098083_2015-04-09_final
2015-05-27 10:08:48	ga_ls7e_ard_3-0-0_098083_2015-05-27_final
2015-06-12 10:08:56	ga_ls7e_ard_3-0-0_098083_2015-06-12_final
2015-06-28 10:08:57	ga_ls7e_ard_3-0-0_098083_2015-06-28_final
2015-07-14 10:09:04	ga_ls7e_ard_3-0-0_098083_2015-07-14_final
2015-07-30 10:09:06	ga_ls7e_ard_3-0-0_098083_2015-07-30_final
2015-08-15 10:09:10	ga_ls7e_ard_3-0-0_098083_2015-08-15_final
2015-08-31 10:09:10	ga_ls7e_ard_3-0-0_098083_2015-08-31_final
2015-09-16 10:09:16	ga_ls7e_ard_3-0-0_098083_2015-09-16_final
2015-10-02 10:09:15	ga_ls7e_ard_3-0-0_098083_2015-10-02_final
2015-10-18 10:09:35	ga_ls7e_ard_3-0-0_098083_2015-10-18_final
2015-12-05 10:10:19	ga_ls7e_ard_3-0-0_098083_2015-12-05_final
2016-01-06 10:10:49	ga_ls7e_ard_3-0-0_098083_2016-01-06_final
2016-01-22 10:11:03	ga_ls7e_ard_3-0-0_098083_2016-01-22_final
2016-02-07 10:11:11	ga_ls7e_ard_3-0-0_098083_2016-02-07_final
2016-07-16 10:11:54	ga_ls7e_ard_3-0-0_098083_2016-07-16_final
2017-08-20 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-08-20_final
2017-12-10 10:11:45	ga_ls7e_ard_3-0-0_098083_2017-12-10_final
2018-03-16 10:10:32	ga_ls7e_ard_3-0-0_098083_2018-03-16_final
2018-07-06 10:08:38	ga_ls7e_ard_3-0-0_098083_2018-07-06_final
2018-08-07 10:08:03	ga_ls7e_ard_3-0-0_098083_2018-08-07_final
2018-08-23 10:07:45	ga_ls7e_ard_3-0-0_098083_2018-08-23_final
2018-09-08 10:07:25	ga_ls7e_ard_3-0-0_098083_2018-09-08_final
2018-09-24 10:07:03	ga_ls7e_ard_3-0-0_098083_2018-09-24_final
2018-10-26 10:06:18	ga_ls7e_ard_3-0-0_098083_2018-10-26_final
2018-12-13 10:05:07	ga_ls7e_ard_3-0-0_098083_2018-12-13_final
2019-01-14 10:04:09	ga_ls7e_ard_3-0-0_098083_2019-01-14_final
2019-02-15 10:03:10	ga_ls7e_ard_3-0-0_098083_2019-02-15_final
2019-03-03 10:02:40	ga_ls7e_ard_3-1-0_098083_2019-03-03_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-05-06 10:00:26	ga_ls7e_ard_3-0-0_098083_2019-05-06_final
2019-05-22 09:59:48	ga_ls7e_ard_3-0-0_098083_2019-05-22_final
2019-06-23 09:58:39	ga_ls7e_ard_3-0-0_098083_2019-06-23_final
2019-07-09 09:58:03	ga_ls7e_ard_3-0-0_098083_2019-07-09_final
2019-08-10 09:56:46	ga_ls7e_ard_3-0-0_098083_2019-08-10_final
2019-09-11 09:55:24	ga_ls7e_ard_3-1-0_098083_2019-09-11_final
2019-10-29 09:53:21	ga_ls7e_ard_3-1-0_098083_2019-10-29_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-30 09:51:51	ga_ls7e_ard_3-1-0_098083_2019-11-30_final
2019-12-16 09:51:04	ga_ls7e_ard_3-1-0_098083_2019-12-16_final
2020-01-01 09:50:14	ga_ls7e_ard_3-1-0_098083_2020-01-01_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-02-18 09:47:48	ga_ls7e_ard_3-1-0_098083_2020-02-18_final
2020-03-05 09:46:57	ga_ls7e_ard_3-1-0_098083_2020-03-05_final
2020-03-21 09:46:05	ga_ls7e_ard_3-1-0_098083_2020-03-21_final
2020-04-06 09:45:10	ga_ls7e_ard_3-1-0_098083_2020-04-06_final
2020-05-08 09:43:17	ga_ls7e_ard_3-1-0_098083_2020-05-08_final
2020-06-09 09:41:22	ga_ls7e_ard_3-1-0_098083_2020-06-09_final
2020-07-27 09:38:28	ga_ls7e_ard_3-1-0_098083_2020-07-27_final
2020-08-28 09:36:26	ga_ls7e_ard_3-1-0_098083_2020-08-28_final
2020-11-16 09:31:10	ga_ls7e_ard_3-1-0_098083_2020-11-16_final
2020-12-18 09:28:49	ga_ls7e_ard_3-1-0_098083_2020-12-17_final
2021-01-03 09:27:41	ga_ls7e_ard_3-1-0_098083_2021-01-02_final
2021-01-19 09:26:33	ga_ls7e_ard_3-1-0_098083_2021-01-18_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-03-24 09:21:41	ga_ls7e_ard_3-2-0_098083_2021-03-23_final
2021-04-09 09:20:22	ga_ls7e_ard_3-2-0_098083_2021-04-08_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-05-11 09:17:41	ga_ls7e_ard_3-2-0_098083_2021-05-10_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-06-12 09:14:59	ga_ls7e_ard_3-2-0_098083_2021-06-11_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-08-15 09:09:31	ga_ls7e_ard_3-2-0_098083_2021-08-14_final
2021-08-31 09:08:08	ga_ls7e_ard_3-2-0_098083_2021-08-30_final
2021-09-16 09:06:43	ga_ls7e_ard_3-2-0_098083_2021-09-15_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-18 09:03:53	ga_ls7e_ard_3-2-0_098083_2021-10-17_final
2021-12-05 08:59:21	ga_ls7e_ard_3-2-1_098083_2021-12-04_final
2021-12-21 08:57:49	ga_ls7e_ard_3-2-1_098083_2021-12-20_final
2022-02-07 08:53:06	ga_ls7e_ard_3-2-1_098083_2022-02-06_final
2022-02-23 08:51:30	ga_ls7e_ard_3-2-1_098083_2022-02-22_final
2022-03-11 08:49:56	ga_ls7e_ard_3-2-1_098083_2022-03-10_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