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:

Add field

First 100 results (query limit)

Time (local)	Label
2005-06-24 09:11:42	ga_ls7e_ard_3-0-0_090089_2005-06-23_final
2005-06-24 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-06-23_final
2005-07-03 09:05:31	ga_ls7e_ard_3-0-0_089089_2005-07-02_final
2005-07-03 09:05:55	ga_ls7e_ard_3-0-0_089090_2005-07-02_final
2005-07-08 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-07-07_final
2005-07-17 09:17:53	ga_ls7e_ard_3-0-0_091089_2005-07-16_final
2005-07-17 09:18:17	ga_ls7e_ard_3-0-0_091090_2005-07-16_final
2005-07-19 09:05:32	ga_ls7e_ard_3-0-0_089089_2005-07-18_final
2005-07-19 09:05:56	ga_ls7e_ard_3-0-0_089090_2005-07-18_final
2005-11-06 09:17:52	ga_ls7e_ard_3-0-0_091089_2005-11-05_final
2005-11-06 09:18:16	ga_ls7e_ard_3-0-0_091090_2005-11-05_final
2005-12-15 09:24:16	ga_ls7e_ard_3-0-0_092089_2005-12-14_final
2005-12-15 09:24:40	ga_ls7e_ard_3-1-0_092090_2005-12-14_final
2007-12-14 09:18:46	ga_ls7e_ard_3-0-0_091089_2007-12-13_final
2008-04-04 09:18:37	ga_ls7e_ard_3-0-0_091089_2008-04-03_final
2008-04-20 09:18:59	ga_ls7e_ard_3-0-0_091090_2008-04-19_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-04-29 09:12:46	ga_ls7e_ard_3-0-0_090090_2008-04-28_final
2008-05-15 09:12:17	ga_ls7e_ard_3-0-0_090089_2008-05-14_final
2008-05-15 09:12:41	ga_ls7e_ard_3-0-0_090090_2008-05-14_final
2020-12-08 08:54:54	ga_ls7e_ard_3-1-0_092089_2020-12-07_final
2021-01-02 08:46:53	ga_ls7e_ard_3-1-0_091089_2021-01-01_final
2021-01-02 08:47:17	ga_ls7e_ard_3-1-0_091090_2021-01-01_final
2021-01-09 08:52:35	ga_ls7e_ard_3-1-0_092089_2021-01-08_final
2021-01-18 08:45:46	ga_ls7e_ard_3-1-0_091089_2021-01-17_final
2021-01-27 08:38:56	ga_ls7e_ard_3-2-0_090089_2021-01-26_final
2021-02-03 08:44:36	ga_ls7e_ard_3-2-0_091089_2021-02-02_final
2021-02-03 08:45:00	ga_ls7e_ard_3-2-0_091090_2021-02-02_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-02-19 08:43:24	ga_ls7e_ard_3-2-0_091089_2021-02-18_final
2021-02-19 08:43:48	ga_ls7e_ard_3-2-0_091090_2021-02-18_final
2021-02-26 08:49:03	ga_ls7e_ard_3-2-0_092089_2021-02-25_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-02-28 08:36:56	ga_ls7e_ard_3-2-0_090090_2021-02-27_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-14 08:47:48	ga_ls7e_ard_3-2-0_092089_2021-03-13_final
2021-03-16 08:35:17	ga_ls7e_ard_3-2-0_090089_2021-03-15_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-30 08:46:30	ga_ls7e_ard_3-2-0_092089_2021-03-29_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-08 08:39:59	ga_ls7e_ard_3-2-0_091090_2021-04-07_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-06-27 08:32:54	ga_ls7e_ard_3-2-0_091089_2021-06-26_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-07-06 08:25:57	ga_ls7e_ard_3-2-0_090089_2021-07-05_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_final
2021-07-13 08:31:56	ga_ls7e_ard_3-2-0_091090_2021-07-12_final
2021-07-22 08:24:35	ga_ls7e_ard_3-2-0_090089_2021-07-21_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-07-29 08:30:33	ga_ls7e_ard_3-2-0_091090_2021-07-28_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-24 08:28:39	ga_ls7e_ard_3-2-0_092089_2021-10-23_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-11-02 08:21:38	ga_ls7e_ard_3-2-0_091089_2021-11-01_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-09 08:27:09	ga_ls7e_ard_3-2-0_092089_2021-11-08_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-25 08:25:35	ga_ls7e_ard_3-2-1_092089_2021-11-24_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-01-28 08:19:25	ga_ls7e_ard_3-2-1_092089_2022-01-27_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_final
2022-03-17 08:14:38	ga_ls7e_ard_3-2-1_092089_2022-03-16_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 08:00:34	ga_ls7e_ard_3-2-1_090089_2022-04-03_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