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:

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First 100 results (query limit)

Time (local)	Label
2014-06-03 10:42:37	ga_ls7e_ard_3-0-0_104080_2014-06-03_final
2014-06-19 10:42:37	ga_ls7e_ard_3-0-0_104080_2014-06-19_final
2014-07-05 10:42:44	ga_ls7e_ard_3-0-0_104080_2014-07-05_final
2014-07-21 10:42:46	ga_ls7e_ard_3-0-0_104080_2014-07-21_final
2014-08-06 10:42:52	ga_ls7e_ard_3-0-0_104080_2014-08-06_final
2014-10-09 10:43:10	ga_ls7e_ard_3-0-0_104080_2014-10-09_final
2014-12-12 10:43:39	ga_ls7e_ard_3-0-0_104080_2014-12-12_final
2015-01-13 10:43:47	ga_ls7e_ard_3-0-0_104080_2015-01-13_final
2015-02-14 10:43:53	ga_ls7e_ard_3-0-0_104080_2015-02-14_final
2015-03-02 10:44:05	ga_ls7e_ard_3-0-0_104080_2015-03-02_final
2015-05-21 10:44:41	ga_ls7e_ard_3-0-0_104080_2015-05-21_final
2015-06-06 10:44:47	ga_ls7e_ard_3-0-0_104080_2015-06-06_final
2015-06-22 10:44:50	ga_ls7e_ard_3-0-0_104080_2015-06-22_final
2015-08-25 10:45:04	ga_ls7e_ard_3-0-0_104080_2015-08-25_final
2015-10-12 10:45:21	ga_ls7e_ard_3-0-0_104080_2015-10-12_final
2015-11-29 10:46:07	ga_ls7e_ard_3-0-0_104080_2015-11-29_final
2015-12-15 10:46:23	ga_ls7e_ard_3-0-0_104080_2015-12-15_final
2015-12-31 10:46:36	ga_ls7e_ard_3-0-0_104080_2015-12-31_final
2016-02-01 10:47:01	ga_ls7e_ard_3-0-0_104080_2016-02-01_final
2016-02-17 10:47:06	ga_ls7e_ard_3-0-0_104080_2016-02-17_final
2016-07-10 10:47:46	ga_ls7e_ard_3-0-0_104080_2016-07-10_final
2016-07-26 10:47:49	ga_ls7e_ard_3-0-0_104080_2016-07-26_final
2016-08-27 10:47:53	ga_ls7e_ard_3-0-0_104080_2016-08-27_final
2016-09-28 10:47:58	ga_ls7e_ard_3-0-0_104080_2016-09-28_final
2016-10-14 10:47:58	ga_ls7e_ard_3-0-0_104080_2016-10-14_final
2016-10-30 10:47:54	ga_ls7e_ard_3-0-0_104080_2016-10-30_final
2016-11-15 10:47:45	ga_ls7e_ard_3-0-0_104080_2016-11-15_final
2016-12-01 10:47:43	ga_ls7e_ard_3-0-0_104080_2016-12-01_final
2016-12-17 10:47:39	ga_ls7e_ard_3-0-0_104080_2016-12-17_final
2017-01-02 10:47:30	ga_ls7e_ard_3-0-0_104080_2017-01-02_final
2017-01-18 10:47:20	ga_ls7e_ard_3-0-0_104080_2017-01-18_final
2017-02-19 10:47:12	ga_ls7e_ard_3-0-0_104080_2017-02-19_final
2017-03-07 10:47:20	ga_ls7e_ard_3-0-0_104080_2017-03-07_final
2017-03-23 10:47:26	ga_ls7e_ard_3-0-0_104080_2017-03-23_final
2017-04-08 10:47:30	ga_ls7e_ard_3-0-0_104080_2017-04-08_final
2017-05-26 10:47:44	ga_ls7e_ard_3-0-0_104080_2017-05-26_final
2017-06-11 10:47:49	ga_ls7e_ard_3-0-0_104080_2017-06-11_final
2017-07-13 10:47:53	ga_ls7e_ard_3-0-0_104080_2017-07-13_final
2017-07-29 10:47:52	ga_ls7e_ard_3-0-0_104080_2017-07-29_final
2017-08-14 10:47:49	ga_ls7e_ard_3-0-0_104080_2017-08-14_final
2017-08-30 10:47:50	ga_ls7e_ard_3-0-0_104080_2017-08-30_final
2017-09-15 10:47:48	ga_ls7e_ard_3-0-0_104080_2017-09-15_final
2017-10-01 10:47:49	ga_ls7e_ard_3-0-0_104080_2017-10-01_final
2017-10-17 10:47:51	ga_ls7e_ard_3-0-0_104080_2017-10-17_final
2017-11-02 10:47:51	ga_ls7e_ard_3-0-0_104080_2017-11-02_final
2017-11-18 10:47:48	ga_ls7e_ard_3-0-0_104080_2017-11-18_final
2017-12-04 10:47:41	ga_ls7e_ard_3-0-0_104080_2017-12-04_final
2017-12-20 10:47:32	ga_ls7e_ard_3-0-0_104080_2017-12-20_final
2018-01-05 10:47:20	ga_ls7e_ard_3-0-0_104080_2018-01-05_final
2018-01-21 10:47:06	ga_ls7e_ard_3-0-0_104080_2018-01-21_final
2018-02-06 10:46:49	ga_ls7e_ard_3-0-0_104080_2018-02-06_final
2018-03-26 10:46:16	ga_ls7e_ard_3-0-0_104080_2018-03-26_final
2018-04-11 10:46:02	ga_ls7e_ard_3-0-0_104080_2018-04-11_final
2018-04-27 10:45:45	ga_ls7e_ard_3-0-0_104080_2018-04-27_final
2018-05-13 10:45:28	ga_ls7e_ard_3-0-0_104080_2018-05-13_final
2018-05-29 10:45:13	ga_ls7e_ard_3-0-0_104080_2018-05-29_final
2018-06-14 10:44:57	ga_ls7e_ard_3-0-0_104080_2018-06-14_final
2018-06-30 10:44:38	ga_ls7e_ard_3-0-0_104080_2018-06-30_final
2018-07-16 10:44:20	ga_ls7e_ard_3-0-0_104080_2018-07-16_final
2018-08-01 10:44:03	ga_ls7e_ard_3-0-0_104080_2018-08-01_final
2018-08-17 10:43:45	ga_ls7e_ard_3-0-0_104080_2018-08-17_final
2018-09-02 10:43:25	ga_ls7e_ard_3-0-0_104080_2018-09-02_final
2018-09-18 10:43:04	ga_ls7e_ard_3-0-0_104080_2018-09-18_final
2018-10-04 10:42:42	ga_ls7e_ard_3-0-0_104080_2018-10-04_final
2018-10-20 10:42:18	ga_ls7e_ard_3-0-0_104080_2018-10-20_final
2018-11-05 10:41:58	ga_ls7e_ard_3-0-0_104080_2018-11-05_final
2018-11-21 10:41:35	ga_ls7e_ard_3-0-0_104080_2018-11-21_final
2018-12-07 10:41:10	ga_ls7e_ard_3-0-0_104080_2018-12-07_final
2018-12-23 10:40:43	ga_ls7e_ard_3-0-0_104080_2018-12-23_final
2019-02-09 10:39:14	ga_ls7e_ard_3-0-0_104080_2019-02-09_final
2019-02-25 10:38:45	ga_ls7e_ard_3-1-0_104080_2019-02-25_final
2019-03-13 10:38:14	ga_ls7e_ard_3-1-0_104080_2019-03-13_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-04-14 10:37:08	ga_ls7e_ard_3-0-0_104080_2019-04-14_final
2019-05-16 10:35:55	ga_ls7e_ard_3-0-0_104080_2019-05-16_final
2019-06-01 10:35:20	ga_ls7e_ard_3-0-0_104080_2019-06-01_final
2019-07-03 10:34:10	ga_ls7e_ard_3-0-0_104080_2019-07-03_final
2019-09-05 10:31:32	ga_ls7e_ard_3-1-0_104080_2019-09-05_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-24 10:28:02	ga_ls7e_ard_3-1-0_104080_2019-11-24_final
2019-12-10 10:27:15	ga_ls7e_ard_3-1-0_104080_2019-12-10_final
2019-12-26 10:26:26	ga_ls7e_ard_3-1-0_104080_2019-12-26_final
2020-01-11 10:25:36	ga_ls7e_ard_3-1-0_104080_2020-01-11_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-03-31 10:21:24	ga_ls7e_ard_3-1-0_104080_2020-03-31_final
2020-05-02 10:19:32	ga_ls7e_ard_3-1-0_104080_2020-05-02_final
2020-06-03 10:17:35	ga_ls7e_ard_3-1-0_104080_2020-06-03_final
2020-07-05 10:15:42	ga_ls7e_ard_3-1-0_104080_2020-07-05_final
2020-08-22 10:12:43	ga_ls7e_ard_3-1-0_104080_2020-08-22_final
2020-10-09 10:09:35	ga_ls7e_ard_3-1-0_104080_2020-10-09_final
2020-10-25 10:08:33	ga_ls7e_ard_3-1-0_104080_2020-10-25_final
2020-11-26 10:06:20	ga_ls7e_ard_3-1-0_104080_2020-11-26_final
2021-10-28 09:38:51	ga_ls7e_ard_3-2-0_104080_2021-10-28_final
2021-11-13 09:37:19	ga_ls7e_ard_3-2-1_104080_2021-11-13_final
2021-11-29 09:35:47	ga_ls7e_ard_3-2-1_104080_2021-11-29_final
2022-02-01 09:29:35	ga_ls7e_ard_3-2-1_104080_2022-01-31_final
2022-02-17 09:27:57	ga_ls7e_ard_3-2-1_104080_2022-02-16_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_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