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
2005-03-18 09:24:21	ga_ls7e_ard_3-0-0_092089_2005-03-17_final
2005-04-12 09:18:03	ga_ls7e_ard_3-0-0_091089_2005-04-11_final
2005-04-12 09:18:27	ga_ls7e_ard_3-0-0_091090_2005-04-11_final
2005-04-19 09:24:10	ga_ls7e_ard_3-0-0_092089_2005-04-18_final
2005-04-21 09:11:49	ga_ls7e_ard_3-0-0_090089_2005-04-20_final
2005-04-21 09:12:13	ga_ls7e_ard_3-0-0_090090_2005-04-20_final
2005-04-30 09:05:41	ga_ls7e_ard_3-0-0_089089_2005-04-29_final
2005-04-30 09:06:05	ga_ls7e_ard_3-0-0_089090_2005-04-29_final
2005-05-05 09:24:15	ga_ls7e_ard_3-0-0_092089_2005-05-04_final
2005-05-07 09:11:54	ga_ls7e_ard_3-0-0_090089_2005-05-06_final
2005-05-07 09:12:18	ga_ls7e_ard_3-0-0_090090_2005-05-06_final
2005-05-14 09:18:05	ga_ls7e_ard_3-0-0_091089_2005-05-13_final
2005-05-16 09:05:43	ga_ls7e_ard_3-0-0_089089_2005-05-15_final
2005-05-16 09:06:07	ga_ls7e_ard_3-0-0_089090_2005-05-15_final
2005-05-23 09:11:53	ga_ls7e_ard_3-0-0_090089_2005-05-22_final
2005-05-23 09:12:17	ga_ls7e_ard_3-0-0_090090_2005-05-22_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-06-17 09:05:33	ga_ls7e_ard_3-0-0_089089_2005-06-16_final
2005-06-17 09:05:57	ga_ls7e_ard_3-0-0_089090_2005-06-16_final
2005-06-22 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-06-21_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
2005-07-10 09:11:43	ga_ls7e_ard_3-0-0_090089_2005-07-09_final
2005-07-10 09:12:07	ga_ls7e_ard_3-0-0_090090_2005-07-09_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
2005-07-26 09:11:42	ga_ls7e_ard_3-0-0_090089_2005-07-25_final
2005-07-26 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-07-25_final
2005-08-02 09:17:52	ga_ls7e_ard_3-0-0_091089_2005-08-01_final
2005-08-02 09:18:16	ga_ls7e_ard_3-0-0_091090_2005-08-01_final
2005-08-04 09:05:30	ga_ls7e_ard_3-1-0_089089_2005-08-03_final
2005-08-04 09:05:54	ga_ls7e_ard_3-0-0_089090_2005-08-03_final
2005-08-11 09:11:38	ga_ls7e_ard_3-0-0_090089_2005-08-10_final
2005-08-11 09:12:02	ga_ls7e_ard_3-0-0_090090_2005-08-10_final
2005-09-03 09:17:39	ga_ls7e_ard_3-0-0_091089_2005-09-02_final
2005-09-03 09:18:03	ga_ls7e_ard_3-0-0_091090_2005-09-02_final
2005-09-05 09:05:16	ga_ls7e_ard_3-1-0_089089_2005-09-04_final
2005-09-05 09:05:40	ga_ls7e_ard_3-0-0_089090_2005-09-04_final
2005-09-10 09:23:45	ga_ls7e_ard_3-0-0_092089_2005-09-09_final
2005-09-12 09:11:22	ga_ls7e_ard_3-0-0_090089_2005-09-11_final
2005-09-12 09:11:46	ga_ls7e_ard_3-0-0_090090_2005-09-11_final
2005-09-19 09:17:56	ga_ls7e_ard_3-0-0_091090_2005-09-18_final
2005-09-21 09:05:11	ga_ls7e_ard_3-0-0_089089_2005-09-20_final
2005-09-21 09:05:35	ga_ls7e_ard_3-0-0_089090_2005-09-20_final
2005-09-26 09:23:43	ga_ls7e_ard_3-0-0_092089_2005-09-25_final
2005-09-28 09:11:21	ga_ls7e_ard_3-0-0_090089_2005-09-27_final
2005-09-28 09:11:45	ga_ls7e_ard_3-0-0_090090_2005-09-27_final
2005-10-23 09:05:20	ga_ls7e_ard_3-1-0_089089_2005-10-22_final
2005-10-23 09:05:44	ga_ls7e_ard_3-0-0_089090_2005-10-22_final
2005-10-28 09:23:57	ga_ls7e_ard_3-0-0_092089_2005-10-27_final
2005-10-30 09:11:36	ga_ls7e_ard_3-0-0_090089_2005-10-29_final
2017-11-23 09:31:01	ga_ls7e_ard_3-0-0_091089_2017-11-23_final
2017-11-23 09:31:25	ga_ls7e_ard_3-0-0_091090_2017-11-23_final
2017-12-18 09:24:37	ga_ls7e_ard_3-0-0_090089_2017-12-17_final
2017-12-18 09:25:01	ga_ls7e_ard_3-0-0_090090_2017-12-17_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-17 09:36:35	ga_ls7e_ard_3-0-0_092089_2018-01-17_final
2018-01-19 09:24:12	ga_ls7e_ard_3-0-0_090089_2018-01-18_final
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-01-26 09:30:16	ga_ls7e_ard_3-0-0_091089_2018-01-26_final
2018-01-26 09:30:40	ga_ls7e_ard_3-0-0_091090_2018-01-26_final
2018-02-11 09:30:01	ga_ls7e_ard_3-1-0_091089_2018-02-11_final
2018-02-27 09:29:52	ga_ls7e_ard_3-1-0_091089_2018-02-26_final
2018-02-27 09:30:16	ga_ls7e_ard_3-0-0_091090_2018-02-27_final
2018-03-06 09:35:58	ga_ls7e_ard_3-0-0_092089_2018-03-06_final
2018-03-08 09:23:35	ga_ls7e_ard_3-0-0_090089_2018-03-07_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_final
2018-03-22 09:35:46	ga_ls7e_ard_3-0-0_092089_2018-03-22_final
2018-03-24 09:23:22	ga_ls7e_ard_3-0-0_090089_2018-03-23_final
2018-04-23 09:35:15	ga_ls7e_ard_3-0-0_092089_2018-04-23_final
2018-04-25 09:22:52	ga_ls7e_ard_3-0-0_090089_2018-04-24_final
2018-04-25 09:23:16	ga_ls7e_ard_3-0-0_090090_2018-04-24_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-26 09:34:09	ga_ls7e_ard_3-0-0_092089_2018-06-26_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2018-07-12 09:33:49	ga_ls7e_ard_3-0-0_092089_2018-07-12_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-07-14 09:21:50	ga_ls7e_ard_3-0-0_090090_2018-07-13_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-07-30 09:21:09	ga_ls7e_ard_3-0-0_090089_2018-07-29_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years