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
2004-01-16 11:19:01	ga_ls7e_ard_3-0-0_111084_2004-01-16_final
2004-04-03 11:28:54	ga_ls7e_ard_3-0-0_113077_2004-04-03_final
2004-04-03 11:29:18	ga_ls7e_ard_3-0-0_113078_2004-04-03_final
2004-04-03 11:29:42	ga_ls7e_ard_3-0-0_113079_2004-04-03_final
2004-04-03 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-04-03_final
2004-04-03 11:30:30	ga_ls7e_ard_3-0-0_113081_2004-04-03_final
2004-04-05 11:19:19	ga_ls7e_ard_3-0-0_111084_2004-04-05_final
2004-06-13 11:33:40	ga_ls7e_ard_3-0-0_114074_2004-06-13_final
2004-06-13 11:34:04	ga_ls7e_ard_3-0-0_114075_2004-06-13_final
2004-06-13 11:34:28	ga_ls7e_ard_3-0-0_114076_2004-06-13_final
2004-06-13 11:34:52	ga_ls7e_ard_3-0-0_114077_2004-06-13_final
2004-06-13 11:35:16	ga_ls7e_ard_3-0-0_114078_2004-06-13_final
2004-08-25 11:28:25	ga_ls7e_ard_3-0-0_113077_2004-08-25_final
2004-08-25 11:28:49	ga_ls7e_ard_3-0-0_113078_2004-08-25_final
2004-08-25 11:29:13	ga_ls7e_ard_3-0-0_113079_2004-08-25_final
2004-08-25 11:29:37	ga_ls7e_ard_3-0-0_113080_2004-08-25_final
2004-08-25 11:30:01	ga_ls7e_ard_3-0-0_113081_2004-08-25_final
2004-08-25 11:30:25	ga_ls7e_ard_3-0-0_113082_2004-08-25_final
2004-09-01 11:33:22	ga_ls7e_ard_3-0-0_114074_2004-09-01_final
2004-09-01 11:33:46	ga_ls7e_ard_3-0-0_114075_2004-09-01_final
2004-09-01 11:34:10	ga_ls7e_ard_3-0-0_114076_2004-09-01_final
2004-09-01 11:34:34	ga_ls7e_ard_3-0-0_114077_2004-09-01_final
2004-09-01 11:34:58	ga_ls7e_ard_3-0-0_114078_2004-09-01_final
2004-09-10 11:28:19	ga_ls7e_ard_3-0-0_113077_2004-09-10_final
2004-09-10 11:28:43	ga_ls7e_ard_3-0-0_113078_2004-09-10_final
2004-09-10 11:29:07	ga_ls7e_ard_3-0-0_113079_2004-09-10_final
2004-09-10 11:29:31	ga_ls7e_ard_3-0-0_113080_2004-09-10_final
2004-09-10 11:29:55	ga_ls7e_ard_3-0-0_113081_2004-09-10_final
2004-09-10 11:30:19	ga_ls7e_ard_3-0-0_113082_2004-09-10_final
2016-05-22 11:42:05	ga_ls7e_ard_3-0-0_113077_2016-05-22_final
2016-05-22 11:42:29	ga_ls7e_ard_3-0-0_113078_2016-05-22_final
2016-05-22 11:42:52	ga_ls7e_ard_3-0-0_113079_2016-05-22_final
2016-05-22 11:43:16	ga_ls7e_ard_3-0-0_113080_2016-05-22_final
2016-05-22 11:43:40	ga_ls7e_ard_3-0-0_113081_2016-05-22_final
2016-05-22 11:44:04	ga_ls7e_ard_3-0-0_113082_2016-05-22_final
2016-08-26 11:42:18	ga_ls7e_ard_3-0-0_113077_2016-08-26_final
2016-08-26 11:42:42	ga_ls7e_ard_3-0-0_113078_2016-08-26_final
2016-08-26 11:43:06	ga_ls7e_ard_3-0-0_113079_2016-08-26_final
2016-08-26 11:43:30	ga_ls7e_ard_3-0-0_113080_2016-08-26_final
2016-08-26 11:43:54	ga_ls7e_ard_3-0-0_113081_2016-08-26_final
2016-10-13 11:42:00	ga_ls7e_ard_3-0-0_113076_2016-10-13_final
2016-10-13 11:42:24	ga_ls7e_ard_3-0-0_113077_2016-10-13_final
2016-10-13 11:42:48	ga_ls7e_ard_3-0-0_113078_2016-10-13_final
2016-10-13 11:43:12	ga_ls7e_ard_3-0-0_113079_2016-10-13_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2020-01-10 11:20:04	ga_ls7e_ard_3-1-0_113077_2020-01-10_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-10 11:20:52	ga_ls7e_ard_3-1-0_113079_2020-01-10_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-02-18 11:23:30	ga_ls7e_ard_3-1-0_114075_2020-02-18_final
2020-02-18 11:23:54	ga_ls7e_ard_3-1-0_114076_2020-02-18_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-02-18 11:24:41	ga_ls7e_ard_3-1-0_114078_2020-02-18_final
2020-02-25 11:28:54	ga_ls7e_ard_3-1-0_115074_2020-02-25_final
2020-02-27 11:17:38	ga_ls7e_ard_3-1-0_113077_2020-02-27_final
2020-02-27 11:18:02	ga_ls7e_ard_3-1-0_113078_2020-02-27_final
2020-02-27 11:18:26	ga_ls7e_ard_3-1-0_113079_2020-02-27_final
2020-02-27 11:18:50	ga_ls7e_ard_3-1-0_113080_2020-02-27_final
2020-03-05 11:22:15	ga_ls7e_ard_3-1-0_114074_2020-03-05_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-05 11:23:02	ga_ls7e_ard_3-1-0_114076_2020-03-05_final
2020-03-05 11:23:26	ga_ls7e_ard_3-1-0_114077_2020-03-05_final
2020-03-05 11:23:50	ga_ls7e_ard_3-1-0_114078_2020-03-05_final
2020-03-07 11:12:34	ga_ls7e_ard_3-1-0_112081_2020-03-07_final
2020-03-07 11:13:22	ga_ls7e_ard_3-1-0_112083_2020-03-07_final
2020-03-07 11:13:46	ga_ls7e_ard_3-1-0_112084_2020-03-07_final
2020-05-01 11:14:01	ga_ls7e_ard_3-1-0_113077_2020-05-01_final
2020-05-01 11:14:25	ga_ls7e_ard_3-1-0_113078_2020-05-01_final
2020-05-01 11:14:49	ga_ls7e_ard_3-1-0_113079_2020-05-01_final
2020-05-01 11:15:13	ga_ls7e_ard_3-1-0_113080_2020-05-01_final
2020-05-01 11:15:37	ga_ls7e_ard_3-1-0_113081_2020-05-01_final
2020-05-01 11:16:00	ga_ls7e_ard_3-1-0_113082_2020-05-01_final
2020-05-01 11:16:24	ga_ls7e_ard_3-1-0_113083_2020-05-01_final
2020-05-08 11:18:34	ga_ls7e_ard_3-1-0_114074_2020-05-08_final
2020-05-08 11:18:58	ga_ls7e_ard_3-1-0_114075_2020-05-08_final
2020-05-08 11:19:22	ga_ls7e_ard_3-1-0_114076_2020-05-08_final
2020-05-08 11:19:46	ga_ls7e_ard_3-1-0_114077_2020-05-08_final
2020-05-08 11:20:10	ga_ls7e_ard_3-1-0_114078_2020-05-08_final
2020-05-10 11:08:53	ga_ls7e_ard_3-1-0_112081_2020-05-10_final
2020-05-10 11:09:17	ga_ls7e_ard_3-1-0_112082_2020-05-10_final
2020-05-10 11:09:41	ga_ls7e_ard_3-1-0_112083_2020-05-10_final
2020-05-10 11:10:05	ga_ls7e_ard_3-1-0_112084_2020-05-10_final
2020-06-11 11:06:58	ga_ls7e_ard_3-1-0_112081_2020-06-11_final
2020-06-11 11:07:22	ga_ls7e_ard_3-1-0_112082_2020-06-11_final
2020-06-11 11:08:10	ga_ls7e_ard_3-1-0_112084_2020-06-11_final
2020-06-16 11:22:25	ga_ls7e_ard_3-1-0_115074_2020-06-16_final
2020-07-04 11:10:11	ga_ls7e_ard_3-1-0_113077_2020-07-04_final
2020-07-04 11:10:35	ga_ls7e_ard_3-1-0_113078_2020-07-04_final
2020-07-04 11:10:59	ga_ls7e_ard_3-1-0_113079_2020-07-04_final
2020-07-04 11:11:23	ga_ls7e_ard_3-1-0_113080_2020-07-04_final
2020-07-04 11:11:47	ga_ls7e_ard_3-1-0_113081_2020-07-04_final
2020-07-04 11:12:11	ga_ls7e_ard_3-1-0_113082_2020-07-04_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