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
2015-06-19 10:09:56	ga_ls7e_ard_3-0-0_099070_2015-06-19_final
2015-07-05 10:10:00	ga_ls7e_ard_3-0-0_099070_2015-07-05_final
2015-08-22 10:10:10	ga_ls7e_ard_3-0-0_099070_2015-08-22_final
2015-09-07 10:10:12	ga_ls7e_ard_3-0-0_099070_2015-09-07_final
2015-09-23 10:10:17	ga_ls7e_ard_3-0-0_099070_2015-09-23_final
2015-10-09 10:10:24	ga_ls7e_ard_3-0-0_099070_2015-10-09_final
2015-10-25 10:10:42	ga_ls7e_ard_3-0-0_099070_2015-10-25_final
2015-11-10 10:10:57	ga_ls7e_ard_3-0-0_099070_2015-11-10_final
2015-11-26 10:11:11	ga_ls7e_ard_3-0-0_099070_2015-11-26_final
2016-01-13 10:11:56	ga_ls7e_ard_3-0-0_099070_2016-01-13_final
2016-02-14 10:12:12	ga_ls7e_ard_3-0-0_099070_2016-02-14_final
2016-04-02 10:12:30	ga_ls7e_ard_3-0-0_099070_2016-04-02_final
2016-04-18 10:12:37	ga_ls7e_ard_3-0-0_099070_2016-04-18_final
2016-05-04 10:12:42	ga_ls7e_ard_3-0-0_099070_2016-05-04_final
2016-06-21 10:12:53	ga_ls7e_ard_3-0-0_099070_2016-06-21_final
2016-07-07 10:12:53	ga_ls7e_ard_3-0-0_099070_2016-07-07_final
2016-07-23 10:12:55	ga_ls7e_ard_3-0-0_099070_2016-07-23_final
2016-08-08 10:12:57	ga_ls7e_ard_3-0-0_099070_2016-08-08_final
2016-08-24 10:12:59	ga_ls7e_ard_3-0-0_099070_2016-08-24_final
2016-09-25 10:13:04	ga_ls7e_ard_3-0-0_099070_2016-09-25_final
2016-10-11 10:13:05	ga_ls7e_ard_3-0-0_099070_2016-10-11_final
2016-10-27 10:13:01	ga_ls7e_ard_3-0-0_099070_2016-10-27_final
2016-11-28 10:12:51	ga_ls7e_ard_3-0-0_099070_2016-11-28_final
2017-01-15 10:12:28	ga_ls7e_ard_3-0-0_099070_2017-01-15_final
2017-01-31 10:12:20	ga_ls7e_ard_3-0-0_099070_2017-01-31_final
2017-03-04 10:12:26	ga_ls7e_ard_3-0-0_099070_2017-03-04_final
2017-07-10 10:12:59	ga_ls7e_ard_3-0-0_099070_2017-07-10_final
2017-07-26 10:12:59	ga_ls7e_ard_3-0-0_099070_2017-07-26_final
2017-08-11 10:12:56	ga_ls7e_ard_3-0-0_099070_2017-08-11_final
2017-08-27 10:12:56	ga_ls7e_ard_3-0-0_099070_2017-08-27_final
2017-09-28 10:12:55	ga_ls7e_ard_3-0-0_099070_2017-09-28_final
2017-10-14 10:12:57	ga_ls7e_ard_3-0-0_099070_2017-10-14_final
2017-10-30 10:12:58	ga_ls7e_ard_3-0-0_099070_2017-10-30_final
2017-12-01 10:12:49	ga_ls7e_ard_3-0-0_099070_2017-12-01_final
2017-12-17 10:12:40	ga_ls7e_ard_3-0-0_099070_2017-12-17_final
2018-01-02 10:12:29	ga_ls7e_ard_3-0-0_099070_2018-01-02_final
2018-01-18 10:12:15	ga_ls7e_ard_3-0-0_099070_2018-01-18_final
2018-02-03 10:11:59	ga_ls7e_ard_3-0-0_099070_2018-02-03_final
2018-02-19 10:11:48	ga_ls7e_ard_3-0-0_099070_2018-02-19_final
2018-04-08 10:11:11	ga_ls7e_ard_3-0-0_099070_2018-04-08_final
2018-04-24 10:10:55	ga_ls7e_ard_3-0-0_099070_2018-04-24_final
2018-05-10 10:10:37	ga_ls7e_ard_3-0-0_099070_2018-05-10_final
2018-05-26 10:10:23	ga_ls7e_ard_3-0-0_099070_2018-05-26_final
2018-06-11 10:10:07	ga_ls7e_ard_3-0-0_099070_2018-06-11_final
2018-07-13 10:09:29	ga_ls7e_ard_3-0-0_099070_2018-07-13_final
2018-07-29 10:09:13	ga_ls7e_ard_3-0-0_099070_2018-07-29_final
2018-09-15 10:08:15	ga_ls7e_ard_3-0-0_099070_2018-09-15_final
2018-10-01 10:07:52	ga_ls7e_ard_3-0-0_099070_2018-10-01_final
2018-10-17 10:07:28	ga_ls7e_ard_3-0-0_099070_2018-10-17_final
2018-11-02 10:07:08	ga_ls7e_ard_3-0-0_099070_2018-11-02_final
2018-11-18 10:06:46	ga_ls7e_ard_3-0-0_099070_2018-11-18_final
2018-12-20 10:05:55	ga_ls7e_ard_3-0-0_099070_2018-12-20_final
2019-01-21 10:04:55	ga_ls7e_ard_3-0-0_099070_2019-01-21_final
2019-02-22 10:03:57	ga_ls7e_ard_3-1-0_099070_2019-02-22_final
2019-03-26 10:02:55	ga_ls7e_ard_3-1-0_099070_2019-03-26_final
2019-04-11 10:02:21	ga_ls7e_ard_3-0-0_099070_2019-04-11_final
2019-04-27 10:01:46	ga_ls7e_ard_3-0-0_099070_2019-04-27_final
2019-05-13 10:01:09	ga_ls7e_ard_3-0-0_099070_2019-05-13_final
2019-05-29 10:00:33	ga_ls7e_ard_3-0-0_099070_2019-05-29_final
2019-06-14 09:59:59	ga_ls7e_ard_3-0-0_099070_2019-06-14_final
2019-06-30 09:59:23	ga_ls7e_ard_3-0-0_099070_2019-06-30_final
2019-07-16 09:58:46	ga_ls7e_ard_3-0-0_099070_2019-07-16_final
2019-08-01 09:58:08	ga_ls7e_ard_3-0-0_099070_2019-08-01_final
2019-08-17 09:57:28	ga_ls7e_ard_3-0-0_099070_2019-08-17_final
2019-09-02 09:56:47	ga_ls7e_ard_3-1-0_099070_2019-09-02_final
2019-09-18 09:56:05	ga_ls7e_ard_3-1-0_099070_2019-09-18_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-20 09:54:44	ga_ls7e_ard_3-1-0_099070_2019-10-20_final
2019-12-07 09:52:30	ga_ls7e_ard_3-1-0_099070_2019-12-07_final
2020-01-24 09:50:04	ga_ls7e_ard_3-1-0_099070_2020-01-24_final
2020-03-12 09:47:34	ga_ls7e_ard_3-1-0_099070_2020-03-12_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-04-29 09:44:49	ga_ls7e_ard_3-1-0_099070_2020-04-29_final
2020-05-31 09:42:52	ga_ls7e_ard_3-1-0_099070_2020-05-31_final
2020-06-16 09:41:57	ga_ls7e_ard_3-1-0_099070_2020-06-16_final
2020-09-04 09:36:58	ga_ls7e_ard_3-1-0_099070_2020-09-04_final
2020-10-22 09:33:51	ga_ls7e_ard_3-1-0_099070_2020-10-22_final
2020-11-07 09:32:47	ga_ls7e_ard_3-1-0_099070_2020-11-07_final
2021-02-11 09:25:52	ga_ls7e_ard_3-2-0_099070_2021-02-10_final
2021-02-27 09:24:39	ga_ls7e_ard_3-2-0_099070_2021-02-26_final
2021-03-15 09:23:24	ga_ls7e_ard_3-2-0_099070_2021-03-14_final
2021-03-31 09:22:06	ga_ls7e_ard_3-2-0_099070_2021-03-30_final
2021-04-16 09:20:46	ga_ls7e_ard_3-2-0_099070_2021-04-15_final
2021-05-02 09:19:25	ga_ls7e_ard_3-2-0_099070_2021-05-01_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-06-03 09:16:43	ga_ls7e_ard_3-2-0_099070_2021-06-02_final
2021-06-19 09:15:25	ga_ls7e_ard_3-2-0_099070_2021-06-18_final
2021-07-05 09:14:05	ga_ls7e_ard_3-2-0_099070_2021-07-04_final
2021-07-21 09:12:43	ga_ls7e_ard_3-2-0_099070_2021-07-20_final
2021-08-22 09:09:54	ga_ls7e_ard_3-2-0_099070_2021-08-21_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-10-09 09:05:40	ga_ls7e_ard_3-2-0_099070_2021-10-08_final
2021-10-25 09:04:14	ga_ls7e_ard_3-2-0_099070_2021-10-24_final
2021-11-10 09:02:44	ga_ls7e_ard_3-2-0_099070_2021-11-09_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-12-12 08:59:40	ga_ls7e_ard_3-2-1_099070_2021-12-11_final
2022-01-13 08:56:33	ga_ls7e_ard_3-2-1_099070_2022-01-12_final
2022-02-14 08:53:22	ga_ls7e_ard_3-2-1_099070_2022-02-13_final
2022-03-02 08:51:49	ga_ls7e_ard_3-2-1_099070_2022-03-01_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