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
2016-01-23 09:16:14	ga_ls7e_ard_3-0-0_089085_2016-01-22_final
2016-02-24 09:16:23	ga_ls7e_ard_3-0-0_089085_2016-02-23_final
2016-04-12 09:16:45	ga_ls7e_ard_3-0-0_089085_2016-04-11_final
2016-04-28 09:16:52	ga_ls7e_ard_3-0-0_089085_2016-04-27_final
2016-05-14 09:16:55	ga_ls7e_ard_3-0-0_089085_2016-05-13_final
2016-05-30 09:17:00	ga_ls7e_ard_3-0-0_089085_2016-05-29_final
2016-07-01 09:17:04	ga_ls7e_ard_3-0-0_089085_2016-06-30_final
2016-07-17 09:17:05	ga_ls7e_ard_3-0-0_089085_2016-07-16_final
2016-08-18 09:17:08	ga_ls7e_ard_3-0-0_089085_2016-08-17_final
2016-09-19 09:17:14	ga_ls7e_ard_3-0-0_089085_2016-09-18_final
2016-10-05 09:17:16	ga_ls7e_ard_3-0-0_089085_2016-10-04_final
2016-10-21 09:17:14	ga_ls7e_ard_3-0-0_089085_2016-10-20_final
2016-11-06 09:17:08	ga_ls7e_ard_3-0-0_089085_2016-11-05_final
2016-11-22 09:17:02	ga_ls7e_ard_3-0-0_089085_2016-11-21_final
2016-12-08 09:16:59	ga_ls7e_ard_3-0-0_089085_2016-12-07_final
2016-12-24 09:16:53	ga_ls7e_ard_3-0-0_089085_2016-12-23_final
2017-02-10 09:16:24	ga_ls7e_ard_3-0-0_089085_2017-02-09_final
2017-03-14 09:16:41	ga_ls7e_ard_3-0-0_089085_2017-03-13_final
2017-03-30 09:16:45	ga_ls7e_ard_3-0-0_089085_2017-03-29_final
2017-04-15 09:16:51	ga_ls7e_ard_3-0-0_089085_2017-04-14_final
2017-05-01 09:16:57	ga_ls7e_ard_3-0-0_089085_2017-04-30_final
2017-05-17 09:17:00	ga_ls7e_ard_3-0-0_089085_2017-05-16_final
2017-06-02 09:17:04	ga_ls7e_ard_3-0-0_089085_2017-06-01_final
2017-06-18 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-06-17_final
2017-07-04 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-03_final
2017-07-20 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-19_final
2017-08-05 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-08-04_final
2017-08-21 09:17:07	ga_ls7e_ard_3-0-0_089085_2017-08-20_final
2017-09-06 09:17:07	ga_ls7e_ard_3-0-0_089085_2017-09-05_final
2017-09-22 09:17:05	ga_ls7e_ard_3-0-0_089085_2017-09-21_final
2017-10-24 09:17:09	ga_ls7e_ard_3-0-0_089085_2017-10-23_final
2017-11-09 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-11-08_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2017-12-27 09:16:44	ga_ls7e_ard_3-0-0_089085_2017-12-26_final
2018-03-01 09:15:53	ga_ls7e_ard_3-0-0_089085_2018-02-28_final
2018-03-17 09:15:41	ga_ls7e_ard_3-0-0_089085_2018-03-16_final
2018-04-02 09:15:28	ga_ls7e_ard_3-0-0_089085_2018-04-01_final
2018-05-04 09:14:55	ga_ls7e_ard_3-0-0_089085_2018-05-03_final
2018-05-20 09:14:40	ga_ls7e_ard_3-0-0_089085_2018-05-19_final
2018-06-05 09:14:24	ga_ls7e_ard_3-0-0_089085_2018-06-04_final
2018-06-21 09:14:06	ga_ls7e_ard_3-0-0_089085_2018-06-20_final
2018-07-07 09:13:47	ga_ls7e_ard_3-0-0_089085_2018-07-06_final
2018-07-23 09:13:30	ga_ls7e_ard_3-0-0_089085_2018-07-22_final
2018-08-08 09:13:13	ga_ls7e_ard_3-0-0_089085_2018-08-07_final
2018-08-24 09:12:54	ga_ls7e_ard_3-0-0_089085_2018-08-23_final
2018-09-09 09:12:34	ga_ls7e_ard_3-0-0_089085_2018-09-08_final
2018-09-25 09:12:12	ga_ls7e_ard_3-0-0_089085_2018-09-24_final
2018-10-27 09:11:27	ga_ls7e_ard_3-0-0_089085_2018-10-26_final
2018-11-12 09:11:06	ga_ls7e_ard_3-0-0_089085_2018-11-11_final
2018-12-14 09:10:16	ga_ls7e_ard_3-0-0_089085_2018-12-13_final
2018-12-30 09:09:48	ga_ls7e_ard_3-0-0_089085_2018-12-29_final
2019-01-15 09:09:18	ga_ls7e_ard_3-0-0_089085_2019-01-14_final
2019-01-31 09:08:47	ga_ls7e_ard_3-0-0_089085_2019-01-30_final
2019-02-16 09:08:19	ga_ls7e_ard_3-1-0_089085_2019-02-15_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-20 09:07:18	ga_ls7e_ard_3-1-0_089085_2019-03-19_final
2019-04-05 09:06:45	ga_ls7e_ard_3-0-0_089085_2019-04-04_final
2019-04-21 09:06:11	ga_ls7e_ard_3-0-0_089085_2019-04-20_final
2019-05-07 09:05:34	ga_ls7e_ard_3-0-0_089085_2019-05-06_final
2019-05-23 09:04:57	ga_ls7e_ard_3-0-0_089085_2019-05-22_final
2019-06-08 09:04:23	ga_ls7e_ard_3-0-0_089085_2019-06-07_final
2019-07-10 09:03:11	ga_ls7e_ard_3-0-0_089085_2019-07-09_final
2019-07-26 09:02:33	ga_ls7e_ard_3-0-0_089085_2019-07-25_final
2019-08-11 09:01:54	ga_ls7e_ard_3-0-0_089085_2019-08-10_final
2019-08-27 09:01:14	ga_ls7e_ard_3-1-0_089085_2019-08-26_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-10-30 08:58:29	ga_ls7e_ard_3-1-0_089085_2019-10-29_final
2019-11-15 08:57:45	ga_ls7e_ard_3-1-0_089085_2019-11-14_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-17 08:56:11	ga_ls7e_ard_3-1-0_089085_2019-12-16_final
2020-01-02 08:55:21	ga_ls7e_ard_3-1-0_089085_2020-01-01_final
2020-02-03 08:53:45	ga_ls7e_ard_3-1-0_089085_2020-02-02_final
2020-02-19 08:52:56	ga_ls7e_ard_3-1-0_089085_2020-02-18_final
2020-03-22 08:51:12	ga_ls7e_ard_3-1-0_089085_2020-03-21_final
2020-04-07 08:50:18	ga_ls7e_ard_3-1-0_089085_2020-04-06_final
2020-04-23 08:49:22	ga_ls7e_ard_3-1-0_089085_2020-04-22_final
2020-05-09 08:48:24	ga_ls7e_ard_3-1-0_089085_2020-05-08_final
2020-05-25 08:47:25	ga_ls7e_ard_3-1-0_089085_2020-05-24_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-06-26 08:45:32	ga_ls7e_ard_3-1-0_089085_2020-06-25_final
2020-08-13 08:42:35	ga_ls7e_ard_3-1-0_089085_2020-08-12_final
2020-08-29 08:41:33	ga_ls7e_ard_3-1-0_089085_2020-08-28_final
2020-09-14 08:40:30	ga_ls7e_ard_3-1-0_089085_2020-09-13_final
2020-09-30 08:39:27	ga_ls7e_ard_3-1-0_089085_2020-09-29_final
2020-11-01 08:37:23	ga_ls7e_ard_3-1-0_089085_2020-10-31_final
2020-11-17 08:36:17	ga_ls7e_ard_3-1-0_089085_2020-11-16_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2021-01-04 08:32:48	ga_ls7e_ard_3-1-0_089085_2021-01-03_final
2021-01-20 08:31:40	ga_ls7e_ard_3-2-0_089085_2021-01-19_final
2021-02-05 08:30:30	ga_ls7e_ard_3-2-0_089085_2021-02-04_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-04-26 08:24:06	ga_ls7e_ard_3-2-0_089085_2021-04-25_final
2021-05-12 08:22:46	ga_ls7e_ard_3-2-0_089085_2021-05-11_final
2021-05-28 08:21:25	ga_ls7e_ard_3-2-0_089085_2021-05-27_final
2021-06-13 08:20:05	ga_ls7e_ard_3-2-0_089085_2021-06-12_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2022-02-08 07:58:11	ga_ls7e_ard_3-2-1_089085_2022-02-07_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