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
2013-11-19 09:28:25	ga_ls7e_ard_3-0-0_092083_2013-11-18_final
2014-01-22 09:28:58	ga_ls7e_ard_3-0-0_092083_2014-01-21_final
2014-02-07 09:29:08	ga_ls7e_ard_3-0-0_092083_2014-02-06_final
2014-03-11 09:29:04	ga_ls7e_ard_3-0-0_092083_2014-03-10_final
2014-04-12 09:29:17	ga_ls7e_ard_3-0-0_092083_2014-04-11_final
2014-04-28 09:29:28	ga_ls7e_ard_3-0-0_092083_2014-04-27_final
2014-05-14 09:29:34	ga_ls7e_ard_3-0-0_092083_2014-05-13_final
2014-07-17 09:29:46	ga_ls7e_ard_3-1-0_092083_2014-07-16_final
2014-08-02 09:29:54	ga_ls7e_ard_3-1-0_092083_2014-08-01_final
2014-08-18 09:29:54	ga_ls7e_ard_3-1-0_092083_2014-08-17_final
2014-09-19 09:29:57	ga_ls7e_ard_3-1-0_092083_2014-09-18_final
2014-12-08 09:30:39	ga_ls7e_ard_3-0-0_092083_2014-12-08_final
2015-01-25 09:30:51	ga_ls7e_ard_3-0-0_092083_2015-01-25_final
2015-02-10 09:30:56	ga_ls7e_ard_3-0-0_092083_2015-02-10_final
2015-03-14 09:31:11	ga_ls7e_ard_3-0-0_092083_2015-03-14_final
2015-04-15 09:31:28	ga_ls7e_ard_3-0-0_092083_2015-04-15_final
2015-05-17 09:31:42	ga_ls7e_ard_3-0-0_092083_2015-05-17_final
2015-06-02 09:31:47	ga_ls7e_ard_3-0-0_092083_2015-06-02_final
2015-07-04 09:31:55	ga_ls7e_ard_3-0-0_092083_2015-07-04_final
2015-09-22 09:32:13	ga_ls7e_ard_3-1-0_092083_2015-09-22_final
2015-11-09 09:32:51	ga_ls7e_ard_3-0-0_092083_2015-11-09_final
2015-11-25 09:33:06	ga_ls7e_ard_3-0-0_092083_2015-11-25_final
2016-03-16 09:34:21	ga_ls7e_ard_3-0-0_092083_2016-03-16_final
2016-04-01 09:34:25	ga_ls7e_ard_3-0-0_092083_2016-04-01_final
2016-04-17 09:34:32	ga_ls7e_ard_3-0-0_092083_2016-04-17_final
2016-05-03 09:34:38	ga_ls7e_ard_3-1-0_092083_2016-05-03_final
2016-05-19 09:34:40	ga_ls7e_ard_3-1-0_092083_2016-05-19_final
2016-08-07 09:34:52	ga_ls7e_ard_3-0-0_092083_2016-08-07_final
2016-09-08 09:34:57	ga_ls7e_ard_3-0-0_092083_2016-09-08_final
2016-09-24 09:34:59	ga_ls7e_ard_3-1-0_092083_2016-09-24_final
2016-10-10 09:35:00	ga_ls7e_ard_3-0-0_092083_2016-10-10_final
2016-10-26 09:34:57	ga_ls7e_ard_3-0-0_092083_2016-10-26_final
2016-11-11 09:34:50	ga_ls7e_ard_3-0-0_092083_2016-11-11_final
2016-11-27 09:34:46	ga_ls7e_ard_3-0-0_092083_2016-11-27_final
2016-12-13 09:34:42	ga_ls7e_ard_3-0-0_092083_2016-12-13_final
2016-12-29 09:34:35	ga_ls7e_ard_3-0-0_092083_2016-12-29_final
2017-01-14 09:34:25	ga_ls7e_ard_3-0-0_092083_2017-01-14_final
2017-01-30 09:34:16	ga_ls7e_ard_3-0-0_092083_2017-01-30_final
2017-02-15 09:34:12	ga_ls7e_ard_3-0-0_092083_2017-02-15_final
2017-03-03 09:34:21	ga_ls7e_ard_3-0-0_092083_2017-03-03_final
2017-04-04 09:34:30	ga_ls7e_ard_3-0-0_092083_2017-04-04_final
2017-04-20 09:34:38	ga_ls7e_ard_3-0-0_092083_2017-04-20_final
2017-05-06 09:34:43	ga_ls7e_ard_3-0-0_092083_2017-05-06_final
2017-05-22 09:34:45	ga_ls7e_ard_3-0-0_092083_2017-05-22_final
2017-06-07 09:34:50	ga_ls7e_ard_3-0-0_092083_2017-06-07_final
2017-06-23 09:34:53	ga_ls7e_ard_3-0-0_092083_2017-06-23_final
2017-07-09 09:34:55	ga_ls7e_ard_3-0-0_092083_2017-07-09_final
2017-07-25 09:34:54	ga_ls7e_ard_3-0-0_092083_2017-07-25_final
2017-08-10 09:34:52	ga_ls7e_ard_3-0-0_092083_2017-08-10_final
2017-08-26 09:34:52	ga_ls7e_ard_3-0-0_092083_2017-08-26_final
2017-09-11 09:34:51	ga_ls7e_ard_3-0-0_092083_2017-09-11_final
2017-09-27 09:34:51	ga_ls7e_ard_3-0-0_092083_2017-09-27_final
2017-10-13 09:34:53	ga_ls7e_ard_3-1-0_092083_2017-10-13_final
2017-10-29 09:34:53	ga_ls7e_ard_3-0-0_092083_2017-10-29_final
2017-11-14 09:34:51	ga_ls7e_ard_3-1-0_092083_2017-11-14_final
2017-11-30 09:34:45	ga_ls7e_ard_3-0-0_092083_2017-11-30_final
2017-12-16 09:34:37	ga_ls7e_ard_3-0-0_092083_2017-12-16_final
2018-01-17 09:34:11	ga_ls7e_ard_3-0-0_092083_2018-01-17_final
2018-02-18 09:33:44	ga_ls7e_ard_3-0-0_092083_2018-02-18_final
2018-03-06 09:33:34	ga_ls7e_ard_3-0-0_092083_2018-03-06_final
2018-03-22 09:33:22	ga_ls7e_ard_3-0-0_092083_2018-03-22_final
2018-04-07 09:33:08	ga_ls7e_ard_3-0-0_092083_2018-04-07_final
2018-04-23 09:32:52	ga_ls7e_ard_3-0-0_092083_2018-04-23_final
2018-05-09 09:32:34	ga_ls7e_ard_3-0-0_092083_2018-05-09_final
2018-05-25 09:32:19	ga_ls7e_ard_3-0-0_092083_2018-05-25_final
2018-06-10 09:32:03	ga_ls7e_ard_3-0-0_092083_2018-06-10_final
2018-06-26 09:31:45	ga_ls7e_ard_3-0-0_092083_2018-06-26_final
2018-07-12 09:31:26	ga_ls7e_ard_3-0-0_092083_2018-07-12_final
2018-07-28 09:31:09	ga_ls7e_ard_3-0-0_092083_2018-07-28_final
2018-08-29 09:30:33	ga_ls7e_ard_3-0-0_092083_2018-08-29_final
2018-11-01 09:29:05	ga_ls7e_ard_3-0-0_092083_2018-10-31_final
2018-11-17 09:28:43	ga_ls7e_ard_3-0-0_092083_2018-11-16_final
2018-12-19 09:27:52	ga_ls7e_ard_3-0-0_092083_2018-12-18_final
2019-12-06 09:14:29	ga_ls7e_ard_3-1-0_092083_2019-12-05_final
2020-01-23 09:12:03	ga_ls7e_ard_3-1-0_092083_2020-01-22_final
2020-03-11 09:09:33	ga_ls7e_ard_3-1-0_092083_2020-03-10_final
2020-03-27 09:08:40	ga_ls7e_ard_3-1-0_092083_2020-03-26_final
2020-09-19 08:57:54	ga_ls7e_ard_3-1-0_092083_2020-09-18_final
2020-10-05 08:56:53	ga_ls7e_ard_3-1-0_092083_2020-10-04_final
2020-11-06 08:54:47	ga_ls7e_ard_3-1-0_092083_2020-11-05_final
2021-02-10 08:47:52	ga_ls7e_ard_3-2-0_092083_2021-02-09_final
2021-02-26 08:46:39	ga_ls7e_ard_3-2-0_092083_2021-02-25_final
2021-03-30 08:44:07	ga_ls7e_ard_3-2-0_092083_2021-03-29_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-05-01 08:41:26	ga_ls7e_ard_3-2-0_092083_2021-04-30_final
2021-05-17 08:40:06	ga_ls7e_ard_3-2-0_092083_2021-05-16_final
2021-07-04 08:36:05	ga_ls7e_ard_3-2-0_092083_2021-07-03_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-08-21 08:31:54	ga_ls7e_ard_3-2-0_092083_2021-08-20_final
2021-09-06 08:30:32	ga_ls7e_ard_3-2-0_092083_2021-09-05_final
2021-09-22 08:29:06	ga_ls7e_ard_3-2-0_092083_2021-09-21_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-11-09 08:24:45	ga_ls7e_ard_3-2-0_092083_2021-11-08_final
2021-12-11 08:21:42	ga_ls7e_ard_3-2-1_092083_2021-12-10_final
2021-12-27 08:20:08	ga_ls7e_ard_3-2-1_092083_2021-12-26_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-03-01 08:13:51	ga_ls7e_ard_3-2-1_092083_2022-02-28_final
2022-03-17 08:12:15	ga_ls7e_ard_3-2-1_092083_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years