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
2015-07-06 09:18:47	ga_ls7e_ard_3-0-0_090081_2015-07-05_final
2015-08-07 09:18:54	ga_ls7e_ard_3-0-0_090081_2015-08-06_final
2015-08-23 09:18:56	ga_ls7e_ard_3-0-0_090081_2015-08-22_final
2015-09-24 09:19:03	ga_ls7e_ard_3-0-0_090081_2015-09-23_final
2015-10-26 09:19:28	ga_ls7e_ard_3-0-0_090081_2015-10-25_final
2015-11-27 09:19:58	ga_ls7e_ard_3-0-0_090081_2015-11-26_final
2016-02-15 09:20:58	ga_ls7e_ard_3-0-0_090081_2016-02-14_final
2016-03-02 09:21:03	ga_ls7e_ard_3-0-0_090081_2016-03-01_final
2016-05-05 09:21:29	ga_ls7e_ard_3-0-0_090081_2016-05-04_final
2016-06-06 09:21:37	ga_ls7e_ard_3-0-0_090081_2016-06-05_final
2016-08-09 09:21:43	ga_ls7e_ard_3-0-0_090081_2016-08-08_final
2016-09-10 09:21:48	ga_ls7e_ard_3-0-0_090081_2016-09-09_final
2016-10-28 09:21:47	ga_ls7e_ard_3-0-0_090081_2016-10-27_final
2016-12-15 09:21:32	ga_ls7e_ard_3-0-0_090081_2016-12-14_final
2017-01-16 09:21:14	ga_ls7e_ard_3-0-0_090081_2017-01-15_final
2017-04-06 09:21:21	ga_ls7e_ard_3-0-0_090081_2017-04-05_final
2017-04-22 09:21:29	ga_ls7e_ard_3-0-0_090081_2017-04-21_final
2017-05-24 09:21:36	ga_ls7e_ard_3-0-0_090081_2017-05-23_final
2017-07-11 09:21:45	ga_ls7e_ard_3-0-0_090081_2017-07-10_final
2017-08-12 09:21:42	ga_ls7e_ard_3-0-0_090081_2017-08-11_final
2017-09-29 09:21:41	ga_ls7e_ard_3-0-0_090081_2017-09-28_final
2017-10-31 09:21:44	ga_ls7e_ard_3-0-0_090081_2017-10-30_final
2017-12-18 09:21:26	ga_ls7e_ard_3-0-0_090081_2017-12-17_final
2018-01-19 09:21:00	ga_ls7e_ard_3-0-0_090081_2018-01-18_final
2018-02-04 09:20:44	ga_ls7e_ard_3-0-0_090081_2018-02-03_final
2018-02-20 09:20:34	ga_ls7e_ard_3-0-0_090081_2018-02-19_final
2018-03-08 09:20:23	ga_ls7e_ard_3-0-0_090081_2018-03-07_final
2018-03-24 09:20:11	ga_ls7e_ard_3-0-0_090081_2018-03-23_final
2018-04-09 09:19:56	ga_ls7e_ard_3-0-0_090081_2018-04-08_final
2018-05-11 09:19:22	ga_ls7e_ard_3-0-0_090081_2018-05-10_final
2018-05-27 09:19:08	ga_ls7e_ard_3-0-0_090081_2018-05-26_final
2018-06-28 09:18:33	ga_ls7e_ard_3-0-0_090081_2018-06-27_final
2018-07-14 09:18:14	ga_ls7e_ard_3-0-0_090081_2018-07-13_final
2018-07-30 09:17:58	ga_ls7e_ard_3-0-0_090081_2018-07-29_final
2018-08-15 09:17:40	ga_ls7e_ard_3-0-0_090081_2018-08-14_final
2018-08-31 09:17:21	ga_ls7e_ard_3-0-0_090081_2018-08-30_final
2018-09-16 09:17:00	ga_ls7e_ard_3-0-0_090081_2018-09-15_final
2018-10-02 09:16:37	ga_ls7e_ard_3-0-0_090081_2018-10-01_final
2018-11-03 09:15:53	ga_ls7e_ard_3-0-0_090081_2018-11-02_final
2018-11-19 09:15:31	ga_ls7e_ard_3-0-0_090081_2018-11-18_final
2018-12-05 09:15:06	ga_ls7e_ard_3-0-0_090081_2018-12-04_final
2018-12-21 09:14:39	ga_ls7e_ard_3-0-0_090081_2018-12-20_final
2019-01-06 09:14:10	ga_ls7e_ard_3-0-0_090081_2019-01-05_final
2019-02-07 09:13:10	ga_ls7e_ard_3-0-0_090081_2019-02-06_final
2019-02-23 09:12:41	ga_ls7e_ard_3-1-0_090081_2019-02-22_final
2019-03-11 09:12:11	ga_ls7e_ard_3-1-0_090081_2019-03-10_final
2019-03-27 09:11:39	ga_ls7e_ard_3-1-0_090081_2019-03-26_final
2019-04-12 09:11:05	ga_ls7e_ard_3-0-0_090081_2019-04-11_final
2019-04-28 09:10:30	ga_ls7e_ard_3-0-0_090081_2019-04-27_final
2019-05-30 09:09:17	ga_ls7e_ard_3-0-0_090081_2019-05-29_final
2019-06-15 09:08:43	ga_ls7e_ard_3-0-0_090081_2019-06-14_final
2019-07-01 09:08:07	ga_ls7e_ard_3-0-0_090081_2019-06-30_final
2019-08-02 09:06:51	ga_ls7e_ard_3-0-0_090081_2019-08-01_final
2019-08-18 09:06:11	ga_ls7e_ard_3-0-0_090081_2019-08-17_final
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-19 09:04:48	ga_ls7e_ard_3-1-0_090081_2019-09-18_final
2019-10-05 09:04:08	ga_ls7e_ard_3-1-0_090081_2019-10-04_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-12-08 09:01:13	ga_ls7e_ard_3-1-0_090081_2019-12-07_final
2019-12-24 09:00:25	ga_ls7e_ard_3-1-0_090081_2019-12-23_final
2020-01-09 08:59:35	ga_ls7e_ard_3-1-0_090081_2020-01-08_final
2020-01-25 08:58:48	ga_ls7e_ard_3-1-0_090081_2020-01-24_final
2020-02-10 08:57:59	ga_ls7e_ard_3-1-0_090081_2020-02-09_final
2020-03-13 08:56:17	ga_ls7e_ard_3-1-0_090081_2020-03-12_final
2020-03-29 08:55:23	ga_ls7e_ard_3-1-0_090081_2020-03-28_final
2020-05-16 08:52:33	ga_ls7e_ard_3-1-0_090081_2020-05-15_final
2020-06-01 08:51:35	ga_ls7e_ard_3-1-0_090081_2020-05-31_final
2020-06-17 08:50:39	ga_ls7e_ard_3-1-0_090081_2020-06-16_final
2020-07-03 08:49:42	ga_ls7e_ard_3-1-0_090081_2020-07-02_final
2020-07-19 08:48:44	ga_ls7e_ard_3-1-0_090081_2020-07-18_final
2020-08-04 08:47:44	ga_ls7e_ard_3-1-0_090081_2020-08-03_final
2020-09-05 08:45:41	ga_ls7e_ard_3-1-0_090081_2020-09-04_final
2020-09-21 08:44:37	ga_ls7e_ard_3-1-0_090081_2020-09-20_final
2020-10-07 08:43:36	ga_ls7e_ard_3-1-0_090081_2020-10-06_final
2020-10-23 08:42:33	ga_ls7e_ard_3-1-0_090081_2020-10-22_final
2020-11-08 08:41:29	ga_ls7e_ard_3-1-0_090081_2020-11-07_final
2020-11-24 08:40:22	ga_ls7e_ard_3-1-0_090081_2020-11-23_final
2020-12-10 08:39:11	ga_ls7e_ard_3-1-0_090081_2020-12-09_final
2021-02-28 08:33:20	ga_ls7e_ard_3-2-0_090081_2021-02-27_final
2021-03-16 08:32:05	ga_ls7e_ard_3-2-0_090081_2021-03-15_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-05-03 08:28:06	ga_ls7e_ard_3-2-0_090081_2021-05-02_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-06-20 08:24:06	ga_ls7e_ard_3-2-0_090081_2021-06-19_final
2021-07-06 08:22:46	ga_ls7e_ard_3-2-0_090081_2021-07-05_final
2021-07-22 08:21:24	ga_ls7e_ard_3-2-0_090081_2021-07-21_final
2021-08-07 08:19:59	ga_ls7e_ard_3-2-0_090081_2021-08-06_final
2021-08-23 08:18:35	ga_ls7e_ard_3-2-0_090081_2021-08-22_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-26 08:12:55	ga_ls7e_ard_3-2-0_090081_2021-10-25_final
2021-11-27 08:09:51	ga_ls7e_ard_3-2-1_090081_2021-11-26_final
2021-12-13 08:08:21	ga_ls7e_ard_3-2-1_090081_2021-12-12_final
2021-12-29 08:06:46	ga_ls7e_ard_3-2-1_090081_2021-12-28_final
2022-01-14 08:05:13	ga_ls7e_ard_3-2-1_090081_2022-01-13_final
2022-01-30 08:03:40	ga_ls7e_ard_3-2-1_090081_2022-01-29_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-03-03 08:00:30	ga_ls7e_ard_3-2-1_090081_2022-03-02_final
2022-03-19 07:58:54	ga_ls7e_ard_3-2-1_090081_2022-03-18_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