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
2000-05-18 09:08:36	ga_ls7e_ard_3-0-0_089090_2000-05-17_final
2000-07-03 09:20:06	ga_ls7e_ard_3-0-0_091089_2000-07-02_final
2000-07-03 09:20:30	ga_ls7e_ard_3-0-0_091090_2000-07-02_final
2000-12-26 09:19:19	ga_ls7e_ard_3-0-0_091090_2000-12-25_final
2001-02-14 09:06:32	ga_ls7e_ard_3-1-0_089089_2001-02-13_final
2001-02-14 09:06:56	ga_ls7e_ard_3-0-0_089090_2001-02-13_final
2001-03-07 09:25:23	ga_ls7e_ard_3-0-0_092090_2001-03-06_final
2001-03-09 09:12:37	ga_ls7e_ard_3-0-0_090089_2001-03-08_final
2001-03-09 09:13:01	ga_ls7e_ard_3-1-0_090090_2001-03-08_final
2001-08-30 09:23:21	ga_ls7e_ard_3-0-0_092089_2001-08-29_final
2001-09-01 09:10:58	ga_ls7e_ard_3-0-0_090089_2001-08-31_final
2001-09-01 09:11:22	ga_ls7e_ard_3-0-0_090090_2001-08-31_final
2001-10-28 09:04:25	ga_ls7e_ard_3-0-0_089089_2001-10-27_final
2001-11-04 09:10:39	ga_ls7e_ard_3-0-0_090089_2001-11-03_final
2001-11-04 09:11:03	ga_ls7e_ard_3-0-0_090090_2001-11-03_final
2001-11-13 09:04:35	ga_ls7e_ard_3-1-0_089089_2001-11-12_final
2001-11-18 09:23:10	ga_ls7e_ard_3-0-0_092089_2001-11-17_final
2001-11-20 09:11:13	ga_ls7e_ard_3-0-0_090090_2001-11-19_final
2001-12-13 09:17:07	ga_ls7e_ard_3-0-0_091089_2001-12-12_final
2001-12-29 09:17:06	ga_ls7e_ard_3-0-0_091089_2001-12-28_final
2001-12-29 09:17:30	ga_ls7e_ard_3-0-0_091090_2001-12-28_final
2001-12-31 09:04:41	ga_ls7e_ard_3-0-0_089089_2001-12-30_final
2001-12-31 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-12-30_final
2002-01-05 09:23:20	ga_ls7e_ard_3-0-0_092089_2002-01-04_final
2002-01-16 09:05:16	ga_ls7e_ard_3-0-0_089090_2002-01-15_final
2002-01-23 09:11:09	ga_ls7e_ard_3-0-0_090089_2002-01-22_final
2002-01-23 09:11:33	ga_ls7e_ard_3-0-0_090090_2002-01-22_final
2002-02-06 09:23:30	ga_ls7e_ard_3-0-0_092089_2002-02-05_final
2002-02-24 09:11:36	ga_ls7e_ard_3-0-0_090090_2002-02-23_final
2002-03-05 09:05:02	ga_ls7e_ard_3-0-0_089089_2002-03-04_final
2002-03-05 09:05:26	ga_ls7e_ard_3-0-0_089090_2002-03-04_final
2002-03-10 09:23:58	ga_ls7e_ard_3-0-0_092090_2002-03-09_final
2002-03-28 09:11:06	ga_ls7e_ard_3-0-0_090089_2002-03-27_final
2002-03-28 09:11:30	ga_ls7e_ard_3-0-0_090090_2002-03-27_final
2002-04-29 09:11:31	ga_ls7e_ard_3-0-0_090090_2002-04-28_final
2002-06-07 09:17:27	ga_ls7e_ard_3-0-0_091090_2002-06-06_final
2002-07-02 09:10:43	ga_ls7e_ard_3-0-0_090089_2002-07-01_final
2002-07-09 09:17:17	ga_ls7e_ard_3-0-0_091090_2002-07-08_final
2002-07-11 09:04:54	ga_ls7e_ard_3-0-0_089090_2002-07-10_final
2002-07-16 09:23:00	ga_ls7e_ard_3-0-0_092089_2002-07-15_final
2002-08-12 09:04:17	ga_ls7e_ard_3-1-0_089089_2002-08-11_final
2002-08-12 09:04:41	ga_ls7e_ard_3-0-0_089090_2002-08-11_final
2002-08-17 09:22:49	ga_ls7e_ard_3-0-0_092089_2002-08-16_final
2002-11-23 09:10:26	ga_ls7e_ard_3-0-0_090089_2002-11-22_final
2002-11-23 09:10:50	ga_ls7e_ard_3-0-0_090090_2002-11-22_final
2002-12-23 09:22:58	ga_ls7e_ard_3-0-0_092089_2002-12-22_final
2003-03-31 09:10:59	ga_ls7e_ard_3-0-0_090089_2003-03-30_final
2003-03-31 09:11:23	ga_ls7e_ard_3-0-0_090090_2003-03-30_final
2003-08-29 09:16:50	ga_ls7e_ard_3-0-0_091089_2003-08-28_final
2003-08-29 09:17:14	ga_ls7e_ard_3-0-0_091090_2003-08-28_final
2003-11-08 09:23:06	ga_ls7e_ard_3-0-0_092089_2003-11-07_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-04-28 09:14:06	ga_ls7e_ard_3-0-0_090090_2019-04-27_final
2019-05-05 09:19:36	ga_ls7e_ard_3-0-0_091089_2019-05-04_final
2019-05-05 09:20:00	ga_ls7e_ard_3-0-0_091090_2019-05-04_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-14 09:13:05	ga_ls7e_ard_3-0-0_090089_2019-05-13_final
2019-05-14 09:13:29	ga_ls7e_ard_3-0-0_090090_2019-05-13_final
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-05-30 09:12:29	ga_ls7e_ard_3-0-0_090089_2019-05-29_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2019-06-06 09:18:25	ga_ls7e_ard_3-0-0_091089_2019-06-05_final
2019-06-15 09:11:54	ga_ls7e_ard_3-0-0_090089_2019-06-14_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-06-22 09:17:50	ga_ls7e_ard_3-0-0_091089_2019-06-21_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2019-07-01 09:11:19	ga_ls7e_ard_3-0-0_090089_2019-06-30_final
2019-07-01 09:11:43	ga_ls7e_ard_3-0-0_090090_2019-06-30_final
2019-07-08 09:17:13	ga_ls7e_ard_3-0-0_091089_2019-07-07_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-07-31 09:22:29	ga_ls7e_ard_3-0-0_092089_2019-07-30_final
2019-08-02 09:10:03	ga_ls7e_ard_3-0-0_090089_2019-08-01_final
2019-08-02 09:10:27	ga_ls7e_ard_3-0-0_090090_2019-08-01_final
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-08-09 09:16:20	ga_ls7e_ard_3-0-0_091090_2019-08-08_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-08-25 09:15:16	ga_ls7e_ard_3-1-0_091089_2019-08-24_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2019-09-17 09:20:27	ga_ls7e_ard_3-1-0_092089_2019-09-16_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_final
2019-10-05 09:07:19	ga_ls7e_ard_3-1-0_090089_2019-10-04_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-12 09:13:12	ga_ls7e_ard_3-1-0_091089_2019-10-11_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2020-07-26 08:57:40	ga_ls7e_ard_3-1-0_091089_2020-07-25_final
2020-07-26 08:58:04	ga_ls7e_ard_3-1-0_091090_2020-07-25_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-08-20 08:50:19	ga_ls7e_ard_3-1-0_090090_2020-08-19_final
2020-09-12 08:54:59	ga_ls7e_ard_3-1-0_091090_2020-09-11_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