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
2016-05-24 09:52:50	ga_ls7e_ard_3-0-0_095082_2016-05-24_final
2016-06-09 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-06-09_final
2016-06-25 09:52:57	ga_ls7e_ard_3-0-0_095082_2016-06-25_final
2016-07-11 09:52:57	ga_ls7e_ard_3-0-0_095082_2016-07-11_final
2016-07-27 09:53:00	ga_ls7e_ard_3-0-0_095082_2016-07-27_final
2016-09-29 09:53:09	ga_ls7e_ard_3-0-0_095082_2016-09-29_final
2016-12-02 09:52:54	ga_ls7e_ard_3-0-0_095082_2016-12-02_final
2017-02-04 09:52:23	ga_ls7e_ard_3-0-0_095082_2017-02-04_final
2017-02-20 09:52:24	ga_ls7e_ard_3-0-0_095082_2017-02-20_final
2017-03-08 09:52:31	ga_ls7e_ard_3-0-0_095082_2017-03-08_final
2017-03-24 09:52:37	ga_ls7e_ard_3-0-0_095082_2017-03-24_final
2017-04-09 09:52:41	ga_ls7e_ard_3-0-0_095082_2017-04-09_final
2017-05-27 09:52:55	ga_ls7e_ard_3-0-0_095082_2017-05-27_final
2017-07-14 09:53:03	ga_ls7e_ard_3-0-0_095082_2017-07-14_final
2017-08-15 09:53:00	ga_ls7e_ard_3-0-0_095082_2017-08-15_final
2017-10-02 09:52:59	ga_ls7e_ard_3-0-0_095082_2017-10-02_final
2017-10-18 09:53:02	ga_ls7e_ard_3-0-0_095082_2017-10-18_final
2017-11-19 09:52:58	ga_ls7e_ard_3-0-0_095082_2017-11-19_final
2017-12-21 09:52:42	ga_ls7e_ard_3-0-0_095082_2017-12-21_final
2018-01-06 09:52:30	ga_ls7e_ard_3-0-0_095082_2018-01-06_final
2018-04-12 09:51:11	ga_ls7e_ard_3-0-0_095082_2018-04-12_final
2018-04-28 09:50:55	ga_ls7e_ard_3-0-0_095082_2018-04-28_final
2018-05-14 09:50:38	ga_ls7e_ard_3-0-0_095082_2018-05-14_final
2018-05-30 09:50:23	ga_ls7e_ard_3-0-0_095082_2018-05-30_final
2018-07-01 09:49:48	ga_ls7e_ard_3-0-0_095082_2018-07-01_final
2018-07-17 09:49:29	ga_ls7e_ard_3-0-0_095082_2018-07-17_final
2018-08-02 09:49:13	ga_ls7e_ard_3-0-0_095082_2018-08-02_final
2018-08-18 09:48:54	ga_ls7e_ard_3-0-0_095082_2018-08-18_final
2018-09-03 09:48:35	ga_ls7e_ard_3-0-0_095082_2018-09-03_final
2018-09-19 09:48:14	ga_ls7e_ard_3-0-0_095082_2018-09-19_final
2018-10-05 09:47:51	ga_ls7e_ard_3-0-0_095082_2018-10-05_final
2018-10-21 09:47:28	ga_ls7e_ard_3-0-0_095082_2018-10-21_final
2018-11-06 09:47:07	ga_ls7e_ard_3-0-0_095082_2018-11-06_final
2018-11-22 09:46:44	ga_ls7e_ard_3-0-0_095082_2018-11-22_final
2018-12-08 09:46:19	ga_ls7e_ard_3-0-0_095082_2018-12-08_final
2018-12-24 09:45:52	ga_ls7e_ard_3-0-0_095082_2018-12-24_final
2019-01-09 09:45:23	ga_ls7e_ard_3-0-0_095082_2019-01-09_final
2019-01-25 09:44:52	ga_ls7e_ard_3-0-0_095082_2019-01-25_final
2019-02-10 09:44:23	ga_ls7e_ard_3-0-0_095082_2019-02-10_final
2019-02-26 09:43:53	ga_ls7e_ard_3-1-0_095082_2019-02-26_final
2019-03-14 09:43:23	ga_ls7e_ard_3-1-0_095082_2019-03-14_final
2019-03-30 09:42:51	ga_ls7e_ard_3-0-0_095082_2019-03-30_final
2019-04-15 09:42:17	ga_ls7e_ard_3-0-0_095082_2019-04-15_final
2019-05-01 09:41:41	ga_ls7e_ard_3-0-0_095082_2019-05-01_final
2019-05-17 09:41:04	ga_ls7e_ard_3-0-0_095082_2019-05-17_final
2019-06-02 09:40:29	ga_ls7e_ard_3-0-0_095082_2019-06-02_final
2019-06-18 09:39:54	ga_ls7e_ard_3-0-0_095082_2019-06-18_final
2019-07-04 09:39:18	ga_ls7e_ard_3-0-0_095082_2019-07-04_final
2019-07-20 09:38:41	ga_ls7e_ard_3-0-0_095082_2019-07-20_final
2019-08-05 09:38:02	ga_ls7e_ard_3-0-0_095082_2019-08-05_final
2019-08-21 09:37:22	ga_ls7e_ard_3-0-0_095082_2019-08-21_final
2019-09-06 09:36:41	ga_ls7e_ard_3-1-0_095082_2019-09-06_final
2019-09-22 09:35:58	ga_ls7e_ard_3-1-0_095082_2019-09-22_final
2019-10-08 09:35:18	ga_ls7e_ard_3-1-0_095082_2019-10-08_final
2019-10-24 09:34:37	ga_ls7e_ard_3-1-0_095082_2019-10-24_final
2019-11-09 09:33:54	ga_ls7e_ard_3-1-0_095082_2019-11-09_final
2019-11-25 09:33:10	ga_ls7e_ard_3-1-0_095082_2019-11-25_final
2019-12-11 09:32:22	ga_ls7e_ard_3-1-0_095082_2019-12-11_final
2019-12-27 09:31:33	ga_ls7e_ard_3-1-0_095082_2019-12-27_final
2020-01-12 09:30:44	ga_ls7e_ard_3-1-0_095082_2020-01-12_final
2020-02-13 09:29:08	ga_ls7e_ard_3-1-0_095082_2020-02-12_final
2020-02-29 09:28:17	ga_ls7e_ard_3-1-0_095082_2020-02-28_final
2020-03-16 09:27:25	ga_ls7e_ard_3-1-0_095082_2020-03-15_final
2020-04-17 09:25:36	ga_ls7e_ard_3-1-0_095082_2020-04-16_final
2020-05-03 09:24:39	ga_ls7e_ard_3-1-0_095082_2020-05-02_final
2020-05-19 09:23:40	ga_ls7e_ard_3-1-0_095082_2020-05-18_final
2020-06-04 09:22:43	ga_ls7e_ard_3-1-0_095082_2020-06-03_final
2020-06-20 09:21:47	ga_ls7e_ard_3-1-0_095082_2020-06-19_final
2020-07-22 09:19:51	ga_ls7e_ard_3-1-0_095082_2020-07-21_final
2020-08-23 09:17:49	ga_ls7e_ard_3-1-0_095082_2020-08-22_final
2020-09-08 09:16:47	ga_ls7e_ard_3-1-0_095082_2020-09-07_final
2020-09-24 09:15:43	ga_ls7e_ard_3-1-0_095082_2020-09-23_final
2020-10-10 09:14:42	ga_ls7e_ard_3-1-0_095082_2020-10-09_final
2020-11-11 09:12:34	ga_ls7e_ard_3-1-0_095082_2020-11-10_final
2020-11-27 09:11:27	ga_ls7e_ard_3-1-0_095082_2020-11-26_final
2020-12-13 09:10:16	ga_ls7e_ard_3-1-0_095082_2020-12-12_final
2021-01-30 09:06:49	ga_ls7e_ard_3-2-0_095082_2021-01-29_final
2021-02-15 09:05:38	ga_ls7e_ard_3-2-0_095082_2021-02-14_final
2021-03-03 09:04:24	ga_ls7e_ard_3-2-0_095082_2021-03-02_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-04-04 09:01:50	ga_ls7e_ard_3-2-0_095082_2021-04-03_final
2021-04-20 09:00:30	ga_ls7e_ard_3-2-0_095082_2021-04-19_final
2021-05-06 08:59:09	ga_ls7e_ard_3-2-0_095082_2021-05-05_final
2021-05-22 08:57:48	ga_ls7e_ard_3-2-0_095082_2021-05-21_final
2021-06-07 08:56:27	ga_ls7e_ard_3-2-0_095082_2021-06-06_final
2021-07-09 08:53:48	ga_ls7e_ard_3-2-0_095082_2021-07-08_final
2021-07-25 08:52:26	ga_ls7e_ard_3-2-0_095082_2021-07-24_final
2021-08-10 08:51:01	ga_ls7e_ard_3-2-0_095082_2021-08-09_final
2021-09-11 08:48:14	ga_ls7e_ard_3-2-0_095082_2021-09-10_final
2021-09-27 08:46:47	ga_ls7e_ard_3-2-0_095082_2021-09-26_final
2021-10-13 08:45:23	ga_ls7e_ard_3-2-0_095082_2021-10-12_final
2021-10-29 08:43:56	ga_ls7e_ard_3-2-0_095082_2021-10-28_final
2021-11-14 08:42:24	ga_ls7e_ard_3-2-1_095082_2021-11-13_final
2021-11-30 08:40:52	ga_ls7e_ard_3-2-1_095082_2021-11-29_final
2021-12-16 08:39:21	ga_ls7e_ard_3-2-1_095082_2021-12-15_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-01-17 08:36:14	ga_ls7e_ard_3-2-1_095082_2022-01-16_final
2022-02-02 08:34:40	ga_ls7e_ard_3-2-1_095082_2022-02-01_final
2022-02-18 08:33:02	ga_ls7e_ard_3-2-1_095082_2022-02-17_final
2022-03-06 08:31:30	ga_ls7e_ard_3-2-1_095082_2022-03-05_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