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
2014-01-04 09:42:15	ga_ls7e_ard_3-0-0_094086_2014-01-04_final
2014-01-20 09:42:29	ga_ls7e_ard_3-0-0_094086_2014-01-20_final
2014-08-16 09:43:27	ga_ls7e_ard_3-0-0_094086_2014-08-16_final
2015-03-12 09:44:43	ga_ls7e_ard_3-0-0_094086_2015-03-12_final
2015-04-13 09:45:01	ga_ls7e_ard_3-0-0_094086_2015-04-13_final
2015-07-02 09:45:28	ga_ls7e_ard_3-0-0_094086_2015-07-02_final
2015-09-20 09:45:46	ga_ls7e_ard_3-0-0_094086_2015-09-20_final
2016-02-27 09:47:43	ga_ls7e_ard_3-0-0_094086_2016-02-27_final
2016-03-14 09:47:54	ga_ls7e_ard_3-0-0_094086_2016-03-14_final
2016-03-30 09:47:58	ga_ls7e_ard_3-0-0_094086_2016-03-30_final
2016-05-01 09:48:11	ga_ls7e_ard_3-0-0_094086_2016-05-01_final
2016-07-20 09:48:23	ga_ls7e_ard_3-0-0_094086_2016-07-20_final
2016-10-08 09:48:34	ga_ls7e_ard_3-0-0_094086_2016-10-08_final
2016-12-11 09:48:16	ga_ls7e_ard_3-0-0_094086_2016-12-11_final
2017-01-12 09:47:59	ga_ls7e_ard_3-0-0_094086_2017-01-12_final
2017-01-28 09:47:50	ga_ls7e_ard_3-0-0_094086_2017-01-28_final
2017-03-01 09:47:53	ga_ls7e_ard_3-0-0_094086_2017-03-01_final
2017-03-17 09:48:00	ga_ls7e_ard_3-0-0_094086_2017-03-17_final
2017-04-18 09:48:10	ga_ls7e_ard_3-0-0_094086_2017-04-18_final
2017-05-04 09:48:16	ga_ls7e_ard_3-0-0_094086_2017-05-04_final
2017-06-05 09:48:23	ga_ls7e_ard_3-0-0_094086_2017-06-05_final
2017-06-21 09:48:27	ga_ls7e_ard_3-0-0_094086_2017-06-21_final
2017-07-07 09:48:28	ga_ls7e_ard_3-0-0_094086_2017-07-07_final
2017-08-08 09:48:26	ga_ls7e_ard_3-0-0_094086_2017-08-08_final
2017-08-24 09:48:25	ga_ls7e_ard_3-0-0_094086_2017-08-24_final
2017-10-27 09:48:27	ga_ls7e_ard_3-0-0_094086_2017-10-27_final
2017-11-12 09:48:25	ga_ls7e_ard_3-0-0_094086_2017-11-12_final
2017-11-28 09:48:20	ga_ls7e_ard_3-0-0_094086_2017-11-28_final
2017-12-14 09:48:11	ga_ls7e_ard_3-0-0_094086_2017-12-14_final
2018-01-15 09:47:47	ga_ls7e_ard_3-0-0_094086_2018-01-15_final
2018-01-31 09:47:31	ga_ls7e_ard_3-0-0_094086_2018-01-31_final
2018-02-16 09:47:19	ga_ls7e_ard_3-0-0_094086_2018-02-16_final
2018-03-04 09:47:09	ga_ls7e_ard_3-0-0_094086_2018-03-04_final
2018-03-20 09:46:57	ga_ls7e_ard_3-0-0_094086_2018-03-20_final
2018-04-05 09:46:43	ga_ls7e_ard_3-0-0_094086_2018-04-05_final
2018-04-21 09:46:27	ga_ls7e_ard_3-0-0_094086_2018-04-21_final
2018-06-24 09:45:21	ga_ls7e_ard_3-0-0_094086_2018-06-24_final
2018-08-11 09:44:28	ga_ls7e_ard_3-0-0_094086_2018-08-11_final
2018-08-27 09:44:09	ga_ls7e_ard_3-0-0_094086_2018-08-27_final
2018-09-12 09:43:48	ga_ls7e_ard_3-0-0_094086_2018-09-12_final
2018-10-14 09:43:02	ga_ls7e_ard_3-0-0_094086_2018-10-14_final
2018-10-30 09:42:41	ga_ls7e_ard_3-0-0_094086_2018-10-30_final
2018-11-15 09:42:19	ga_ls7e_ard_3-0-0_094086_2018-11-15_final
2018-12-01 09:41:55	ga_ls7e_ard_3-0-0_094086_2018-12-01_final
2018-12-17 09:41:29	ga_ls7e_ard_3-0-0_094086_2018-12-17_final
2019-01-02 09:41:01	ga_ls7e_ard_3-0-0_094086_2019-01-02_final
2019-02-03 09:40:00	ga_ls7e_ard_3-0-0_094086_2019-02-03_final
2019-02-19 09:39:31	ga_ls7e_ard_3-1-0_094086_2019-02-19_final
2019-03-07 09:39:01	ga_ls7e_ard_3-1-0_094086_2019-03-07_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-04-08 09:37:57	ga_ls7e_ard_3-0-0_094086_2019-04-08_final
2019-04-24 09:37:22	ga_ls7e_ard_3-0-0_094086_2019-04-24_final
2019-05-26 09:36:08	ga_ls7e_ard_3-0-0_094086_2019-05-26_final
2019-06-11 09:35:35	ga_ls7e_ard_3-0-0_094086_2019-06-11_final
2019-06-27 09:34:59	ga_ls7e_ard_3-0-0_094086_2019-06-27_final
2019-07-13 09:34:22	ga_ls7e_ard_3-0-0_094086_2019-07-13_final
2019-08-14 09:33:04	ga_ls7e_ard_3-0-0_094086_2019-08-14_final
2019-08-30 09:32:24	ga_ls7e_ard_3-1-0_094086_2019-08-30_final
2019-10-01 09:31:00	ga_ls7e_ard_3-1-0_094086_2019-10-01_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-12-04 09:28:08	ga_ls7e_ard_3-1-0_094086_2019-12-03_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2020-01-21 09:25:42	ga_ls7e_ard_3-1-0_094086_2020-01-20_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-22 09:24:04	ga_ls7e_ard_3-1-0_094086_2020-02-21_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-04-10 09:21:25	ga_ls7e_ard_3-1-0_094086_2020-04-09_final
2020-04-26 09:20:29	ga_ls7e_ard_3-1-0_094086_2020-04-25_final
2020-05-12 09:19:31	ga_ls7e_ard_3-1-0_094086_2020-05-11_final
2020-05-28 09:18:32	ga_ls7e_ard_3-1-0_094086_2020-05-27_final
2020-06-13 09:17:36	ga_ls7e_ard_3-1-0_094086_2020-06-12_final
2020-06-29 09:16:40	ga_ls7e_ard_3-1-0_094086_2020-06-28_final
2020-07-15 09:15:42	ga_ls7e_ard_3-1-0_094086_2020-07-14_final
2020-07-31 09:14:42	ga_ls7e_ard_3-1-0_094086_2020-07-30_final
2020-08-16 09:13:41	ga_ls7e_ard_3-1-0_094086_2020-08-15_final
2020-09-01 09:12:39	ga_ls7e_ard_3-1-0_094086_2020-08-31_final
2020-09-17 09:11:36	ga_ls7e_ard_3-1-0_094086_2020-09-16_final
2020-11-20 09:07:22	ga_ls7e_ard_3-1-0_094086_2020-11-19_final
2020-12-06 09:06:12	ga_ls7e_ard_3-1-0_094086_2020-12-05_final
2021-02-08 09:01:34	ga_ls7e_ard_3-2-0_094086_2021-02-07_final
2021-02-24 09:00:22	ga_ls7e_ard_3-2-0_094086_2021-02-23_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-04-29 08:55:09	ga_ls7e_ard_3-2-0_094086_2021-04-28_final
2021-05-15 08:53:49	ga_ls7e_ard_3-2-0_094086_2021-05-14_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-07-18 08:48:27	ga_ls7e_ard_3-2-0_094086_2021-07-17_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-09-04 08:44:15	ga_ls7e_ard_3-2-0_094086_2021-09-03_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-10-06 08:41:25	ga_ls7e_ard_3-2-0_094086_2021-10-05_final
2021-10-22 08:40:00	ga_ls7e_ard_3-2-0_094086_2021-10-21_final
2021-11-23 08:36:56	ga_ls7e_ard_3-2-1_094086_2021-11-22_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2022-01-10 08:32:19	ga_ls7e_ard_3-2-1_094086_2022-01-09_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-02-11 08:29:10	ga_ls7e_ard_3-2-1_094086_2022-02-10_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-15 08:26:01	ga_ls7e_ard_3-2-1_094086_2022-03-14_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