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
2015-01-12 11:34:13	ga_ls7e_ard_3-0-0_113067_2015-01-12_final
2015-02-13 11:34:18	ga_ls7e_ard_3-0-0_113067_2015-02-13_final
2015-03-17 11:34:38	ga_ls7e_ard_3-0-0_113067_2015-03-17_final
2015-04-02 11:34:44	ga_ls7e_ard_3-0-0_113067_2015-04-02_final
2015-04-18 11:34:53	ga_ls7e_ard_3-0-0_113067_2015-04-18_final
2015-05-04 11:34:59	ga_ls7e_ard_3-0-0_113067_2015-05-04_final
2015-06-05 11:35:13	ga_ls7e_ard_3-0-0_113067_2015-06-05_final
2015-07-07 11:35:21	ga_ls7e_ard_3-0-0_113067_2015-07-07_final
2015-07-23 11:35:24	ga_ls7e_ard_3-0-0_113067_2015-07-23_final
2015-08-08 11:35:28	ga_ls7e_ard_3-0-0_113067_2015-08-08_final
2015-08-24 11:35:30	ga_ls7e_ard_3-0-0_113067_2015-08-24_final
2015-10-27 11:36:03	ga_ls7e_ard_3-0-0_113067_2015-10-27_final
2015-11-12 11:36:19	ga_ls7e_ard_3-0-0_113067_2015-11-12_final
2015-11-28 11:36:32	ga_ls7e_ard_3-0-0_113067_2015-11-28_final
2015-12-14 11:36:49	ga_ls7e_ard_3-0-0_113067_2015-12-14_final
2015-12-30 11:37:01	ga_ls7e_ard_3-0-0_113067_2015-12-30_final
2016-01-15 11:37:17	ga_ls7e_ard_3-0-0_113067_2016-01-15_final
2016-01-31 11:37:27	ga_ls7e_ard_3-0-0_113067_2016-01-31_final
2016-03-19 11:37:46	ga_ls7e_ard_3-0-0_113067_2016-03-19_final
2016-04-04 11:37:49	ga_ls7e_ard_3-0-0_113067_2016-04-04_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-06-23 11:38:13	ga_ls7e_ard_3-0-0_113067_2016-06-23_final
2016-10-13 11:38:24	ga_ls7e_ard_3-0-0_113067_2016-10-13_final
2016-10-29 11:38:20	ga_ls7e_ard_3-0-0_113067_2016-10-29_final
2016-12-16 11:38:05	ga_ls7e_ard_3-0-0_113067_2016-12-16_final
2017-01-01 11:37:57	ga_ls7e_ard_3-0-0_113067_2017-01-01_final
2017-02-18 11:37:38	ga_ls7e_ard_3-0-0_113067_2017-02-18_final
2017-03-06 11:37:46	ga_ls7e_ard_3-0-0_113067_2017-03-06_final
2017-04-07 11:37:56	ga_ls7e_ard_3-0-0_113067_2017-04-07_final
2017-04-23 11:38:03	ga_ls7e_ard_3-0-0_113067_2017-04-23_final
2017-05-09 11:38:07	ga_ls7e_ard_3-0-0_113067_2017-05-09_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-06-10 11:38:15	ga_ls7e_ard_3-0-0_113067_2017-06-10_final
2017-06-26 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-06-26_final
2017-07-12 11:38:19	ga_ls7e_ard_3-0-0_113067_2017-07-12_final
2017-07-28 11:38:18	ga_ls7e_ard_3-0-0_113067_2017-07-28_final
2017-08-13 11:38:15	ga_ls7e_ard_3-0-0_113067_2017-08-13_final
2017-08-29 11:38:16	ga_ls7e_ard_3-0-0_113067_2017-08-29_final
2017-09-14 11:38:14	ga_ls7e_ard_3-0-0_113067_2017-09-14_final
2017-09-30 11:38:15	ga_ls7e_ard_3-0-0_113067_2017-09-30_final
2017-10-16 11:38:17	ga_ls7e_ard_3-0-0_113067_2017-10-16_final
2017-11-01 11:38:17	ga_ls7e_ard_3-0-0_113067_2017-11-01_final
2017-12-03 11:38:08	ga_ls7e_ard_3-0-0_113067_2017-12-03_final
2017-12-19 11:37:59	ga_ls7e_ard_3-0-0_113067_2017-12-19_final
2018-01-04 11:37:47	ga_ls7e_ard_3-0-0_113067_2018-01-04_final
2018-01-20 11:37:33	ga_ls7e_ard_3-0-0_113067_2018-01-20_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-02-21 11:37:07	ga_ls7e_ard_3-0-0_113067_2018-02-21_final
2018-03-09 11:36:56	ga_ls7e_ard_3-0-0_113067_2018-03-09_final
2018-03-25 11:36:43	ga_ls7e_ard_3-0-0_113067_2018-03-25_final
2018-04-10 11:36:29	ga_ls7e_ard_3-0-0_113067_2018-04-10_final
2018-04-26 11:36:12	ga_ls7e_ard_3-0-0_113067_2018-04-26_final
2018-05-12 11:35:55	ga_ls7e_ard_3-0-0_113067_2018-05-12_final
2018-05-28 11:35:40	ga_ls7e_ard_3-0-0_113067_2018-05-28_final
2018-06-13 11:35:24	ga_ls7e_ard_3-0-0_113067_2018-06-13_final
2018-06-29 11:35:06	ga_ls7e_ard_3-0-0_113067_2018-06-29_final
2018-07-15 11:34:47	ga_ls7e_ard_3-0-0_113067_2018-07-15_final
2018-07-31 11:34:30	ga_ls7e_ard_3-0-0_113067_2018-07-31_final
2018-09-01 11:33:53	ga_ls7e_ard_3-0-0_113067_2018-09-01_final
2018-09-17 11:33:32	ga_ls7e_ard_3-0-0_113067_2018-09-17_final
2018-10-03 11:33:09	ga_ls7e_ard_3-0-0_113067_2018-10-03_final
2018-10-19 11:32:46	ga_ls7e_ard_3-0-0_113067_2018-10-19_final
2018-11-04 11:32:25	ga_ls7e_ard_3-0-0_113067_2018-11-04_final
2018-11-20 11:32:03	ga_ls7e_ard_3-0-0_113067_2018-11-20_final
2019-01-07 11:30:42	ga_ls7e_ard_3-0-0_113067_2019-01-07_final
2019-02-08 11:29:42	ga_ls7e_ard_3-0-0_113067_2019-02-08_final
2019-02-24 11:29:13	ga_ls7e_ard_3-1-0_113067_2019-02-24_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-04-13 11:27:36	ga_ls7e_ard_3-0-0_113067_2019-04-13_final
2019-05-15 11:26:24	ga_ls7e_ard_3-0-0_113067_2019-05-15_final
2019-05-31 11:25:48	ga_ls7e_ard_3-0-0_113067_2019-05-31_final
2019-06-16 11:25:14	ga_ls7e_ard_3-0-0_113067_2019-06-16_final
2019-07-18 11:24:01	ga_ls7e_ard_3-0-0_113067_2019-07-18_final
2019-08-03 11:23:22	ga_ls7e_ard_3-0-0_113067_2019-08-03_final
2019-08-19 11:22:42	ga_ls7e_ard_3-0-0_113067_2019-08-19_final
2019-09-04 11:22:01	ga_ls7e_ard_3-1-0_113067_2019-09-04_final
2019-09-20 11:21:19	ga_ls7e_ard_3-1-0_113067_2019-09-20_final
2019-10-06 11:20:38	ga_ls7e_ard_3-1-0_113067_2019-10-06_final
2019-10-22 11:19:58	ga_ls7e_ard_3-1-0_113067_2019-10-22_final
2019-11-07 11:19:15	ga_ls7e_ard_3-1-0_113067_2019-11-07_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_final
2019-12-25 11:16:55	ga_ls7e_ard_3-1-0_113067_2019-12-25_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-26 11:15:18	ga_ls7e_ard_3-1-0_113067_2020-01-26_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-04-15 11:10:58	ga_ls7e_ard_3-1-0_113067_2020-04-15_final
2020-05-01 11:10:01	ga_ls7e_ard_3-1-0_113067_2020-05-01_final
2020-05-17 11:09:03	ga_ls7e_ard_3-1-0_113067_2020-05-17_final
2020-06-02 11:08:05	ga_ls7e_ard_3-1-0_113067_2020-06-02_final
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-07-04 11:06:12	ga_ls7e_ard_3-1-0_113067_2020-07-04_final
2020-07-20 11:05:13	ga_ls7e_ard_3-1-0_113067_2020-07-20_final
2020-08-05 11:04:14	ga_ls7e_ard_3-1-0_113067_2020-08-05_final
2020-08-21 11:03:13	ga_ls7e_ard_3-1-0_113067_2020-08-21_final
2020-09-06 11:02:10	ga_ls7e_ard_3-1-0_113067_2020-09-06_final
2020-09-22 11:01:06	ga_ls7e_ard_3-1-0_113067_2020-09-22_final
2020-10-08 11:00:05	ga_ls7e_ard_3-1-0_113067_2020-10-08_final
2020-10-24 10:59:03	ga_ls7e_ard_3-1-0_113067_2020-10-24_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