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
2015-02-19 11:02:55	ga_ls7e_ard_3-0-0_107081_2015-02-19_final
2015-05-26 11:03:37	ga_ls7e_ard_3-0-0_107081_2015-05-26_final
2015-08-14 11:04:00	ga_ls7e_ard_3-0-0_107081_2015-08-14_final
2016-05-28 11:06:38	ga_ls7e_ard_3-0-0_107081_2016-05-28_final
2016-06-13 11:06:42	ga_ls7e_ard_3-0-0_107081_2016-06-13_final
2016-07-15 11:06:43	ga_ls7e_ard_3-0-0_107081_2016-07-15_final
2016-07-31 11:06:46	ga_ls7e_ard_3-0-0_107081_2016-07-31_final
2016-11-20 11:06:41	ga_ls7e_ard_3-0-0_107081_2016-11-20_final
2016-12-06 11:06:39	ga_ls7e_ard_3-0-0_107081_2016-12-06_final
2016-12-22 11:06:33	ga_ls7e_ard_3-0-0_107081_2016-12-22_final
2017-01-07 11:06:23	ga_ls7e_ard_3-0-0_107081_2017-01-07_final
2017-01-23 11:06:12	ga_ls7e_ard_3-0-0_107081_2017-01-23_final
2017-02-24 11:06:12	ga_ls7e_ard_3-0-0_107081_2017-02-24_final
2017-03-12 11:06:19	ga_ls7e_ard_3-0-0_107081_2017-03-12_final
2017-03-28 11:06:23	ga_ls7e_ard_3-0-0_107081_2017-03-28_final
2017-04-13 11:06:29	ga_ls7e_ard_3-0-0_107081_2017-04-13_final
2017-04-29 11:06:35	ga_ls7e_ard_3-0-0_107081_2017-04-29_final
2017-05-15 11:06:39	ga_ls7e_ard_3-0-0_107081_2017-05-15_final
2017-05-31 11:06:42	ga_ls7e_ard_3-0-0_107081_2017-05-31_final
2017-07-02 11:06:49	ga_ls7e_ard_3-0-0_107081_2017-07-02_final
2017-07-18 11:06:49	ga_ls7e_ard_3-0-0_107081_2017-07-18_final
2017-08-03 11:06:47	ga_ls7e_ard_3-0-0_107081_2017-08-03_final
2017-08-19 11:06:46	ga_ls7e_ard_3-0-0_107081_2017-08-19_final
2017-09-20 11:06:44	ga_ls7e_ard_3-0-0_107081_2017-09-20_final
2017-10-22 11:06:48	ga_ls7e_ard_3-0-0_107081_2017-10-22_final
2017-11-07 11:06:47	ga_ls7e_ard_3-0-0_107081_2017-11-07_final
2017-12-09 11:06:35	ga_ls7e_ard_3-0-0_107081_2017-12-09_final
2017-12-25 11:06:25	ga_ls7e_ard_3-0-0_107081_2017-12-25_final
2018-01-10 11:06:12	ga_ls7e_ard_3-0-0_107081_2018-01-10_final
2018-01-26 11:05:57	ga_ls7e_ard_3-0-0_107081_2018-01-26_final
2018-02-11 11:05:43	ga_ls7e_ard_3-0-0_107081_2018-02-11_final
2018-02-27 11:05:33	ga_ls7e_ard_3-0-0_107081_2018-02-27_final
2018-03-15 11:05:22	ga_ls7e_ard_3-0-0_107081_2018-03-15_final
2018-04-16 11:04:53	ga_ls7e_ard_3-0-0_107081_2018-04-16_final
2018-05-18 11:04:20	ga_ls7e_ard_3-0-0_107081_2018-05-18_final
2018-06-03 11:04:05	ga_ls7e_ard_3-0-0_107081_2018-06-03_final
2018-06-19 11:03:47	ga_ls7e_ard_3-0-0_107081_2018-06-19_final
2018-07-05 11:03:28	ga_ls7e_ard_3-0-0_107081_2018-07-05_final
2018-07-21 11:03:11	ga_ls7e_ard_3-0-0_107081_2018-07-21_final
2018-08-06 11:02:54	ga_ls7e_ard_3-0-0_107081_2018-08-06_final
2018-08-22 11:02:35	ga_ls7e_ard_3-0-0_107081_2018-08-22_final
2018-09-07 11:02:15	ga_ls7e_ard_3-0-0_107081_2018-09-07_final
2018-09-23 11:01:54	ga_ls7e_ard_3-0-0_107081_2018-09-23_final
2018-10-09 11:01:30	ga_ls7e_ard_3-0-0_107081_2018-10-09_final
2018-10-25 11:01:08	ga_ls7e_ard_3-0-0_107081_2018-10-25_final
2018-11-10 11:00:47	ga_ls7e_ard_3-0-0_107081_2018-11-10_final
2018-11-26 11:00:24	ga_ls7e_ard_3-0-0_107081_2018-11-26_final
2018-12-12 10:59:58	ga_ls7e_ard_3-0-0_107081_2018-12-12_final
2018-12-28 10:59:30	ga_ls7e_ard_3-0-0_107081_2018-12-28_final
2019-01-13 10:59:01	ga_ls7e_ard_3-0-0_107081_2019-01-13_final
2019-01-29 10:58:29	ga_ls7e_ard_3-0-0_107081_2019-01-29_final
2019-02-14 10:58:01	ga_ls7e_ard_3-0-0_107081_2019-02-14_final
2019-04-03 10:56:28	ga_ls7e_ard_3-0-0_107081_2019-04-03_final
2019-05-21 10:54:40	ga_ls7e_ard_3-0-0_107081_2019-05-21_final
2019-06-06 10:54:06	ga_ls7e_ard_3-0-0_107081_2019-06-06_final
2019-07-08 10:52:55	ga_ls7e_ard_3-0-0_107081_2019-07-08_final
2019-07-24 10:52:17	ga_ls7e_ard_3-0-0_107081_2019-07-24_final
2019-08-09 10:51:38	ga_ls7e_ard_3-0-0_107081_2019-08-09_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-09-10 10:50:16	ga_ls7e_ard_3-1-0_107081_2019-09-10_final
2019-09-26 10:49:33	ga_ls7e_ard_3-1-0_107081_2019-09-26_final
2019-11-13 10:47:29	ga_ls7e_ard_3-1-0_107081_2019-11-13_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-02-01 10:43:30	ga_ls7e_ard_3-1-0_107081_2020-02-01_final
2020-02-17 10:42:41	ga_ls7e_ard_3-1-0_107081_2020-02-17_final
2020-03-04 10:41:50	ga_ls7e_ard_3-1-0_107081_2020-03-04_final
2020-03-20 10:40:57	ga_ls7e_ard_3-1-0_107081_2020-03-20_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-05-07 10:38:10	ga_ls7e_ard_3-1-0_107081_2020-05-07_final
2020-05-23 10:37:11	ga_ls7e_ard_3-1-0_107081_2020-05-23_final
2020-06-08 10:36:14	ga_ls7e_ard_3-1-0_107081_2020-06-08_final
2020-06-24 10:35:18	ga_ls7e_ard_3-1-0_107081_2020-06-24_final
2020-07-10 10:34:20	ga_ls7e_ard_3-1-0_107081_2020-07-10_final
2020-08-11 10:32:21	ga_ls7e_ard_3-1-0_107081_2020-08-11_final
2020-08-27 10:31:20	ga_ls7e_ard_3-1-0_107081_2020-08-27_final
2020-09-28 10:29:14	ga_ls7e_ard_3-1-0_107081_2020-09-28_final
2020-12-01 10:24:55	ga_ls7e_ard_3-1-0_107081_2020-12-01_final
2021-01-18 10:21:27	ga_ls7e_ard_3-1-0_107081_2021-01-18_final
2021-02-19 10:19:05	ga_ls7e_ard_3-2-0_107081_2021-02-19_final
2021-03-07 10:17:51	ga_ls7e_ard_3-2-0_107081_2021-03-07_final
2021-03-23 10:16:35	ga_ls7e_ard_3-2-0_107081_2021-03-23_final
2021-04-24 10:13:55	ga_ls7e_ard_3-2-0_107081_2021-04-24_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-06-11 10:09:54	ga_ls7e_ard_3-2-0_107081_2021-06-11_final
2021-06-27 10:08:35	ga_ls7e_ard_3-2-0_107081_2021-06-27_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-29 10:05:50	ga_ls7e_ard_3-2-0_107081_2021-07-29_final
2021-08-14 10:04:25	ga_ls7e_ard_3-2-0_107081_2021-08-14_final
2021-08-30 10:03:02	ga_ls7e_ard_3-2-0_107081_2021-08-30_final
2021-09-15 10:01:38	ga_ls7e_ard_3-2-0_107081_2021-09-15_final
2021-10-17 09:58:47	ga_ls7e_ard_3-2-0_107081_2021-10-17_final
2021-11-02 09:57:19	ga_ls7e_ard_3-2-0_107081_2021-11-02_final
2021-12-20 09:52:44	ga_ls7e_ard_3-2-1_107081_2021-12-20_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-21 09:49:37	ga_ls7e_ard_3-2-1_107081_2022-01-21_final
2022-02-06 09:48:01	ga_ls7e_ard_3-2-1_107081_2022-02-06_final
2022-02-22 09:46:25	ga_ls7e_ard_3-2-1_107081_2022-02-22_final
2022-03-10 09:44:52	ga_ls7e_ard_3-2-1_107081_2022-03-10_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