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
2010-01-07 11:26:03	ga_ls7e_ard_3-0-0_112080_2010-01-07_final
2010-01-07 11:26:27	ga_ls7e_ard_3-0-0_112081_2010-01-07_final
2010-01-07 11:26:51	ga_ls7e_ard_3-0-0_112082_2010-01-07_final
2010-01-07 11:27:15	ga_ls7e_ard_3-0-0_112083_2010-01-07_final
2010-03-03 11:31:18	ga_ls7e_ard_3-0-0_113076_2010-03-03_final
2010-03-03 11:31:42	ga_ls7e_ard_3-0-0_113077_2010-03-03_final
2010-03-03 11:32:06	ga_ls7e_ard_3-0-0_113078_2010-03-03_final
2010-03-03 11:32:30	ga_ls7e_ard_3-0-0_113079_2010-03-03_final
2010-03-03 11:32:53	ga_ls7e_ard_3-0-0_113080_2010-03-03_final
2010-03-03 11:33:17	ga_ls7e_ard_3-0-0_113081_2010-03-03_final
2010-03-03 11:33:41	ga_ls7e_ard_3-0-0_113082_2010-03-03_final
2010-05-06 11:31:25	ga_ls7e_ard_3-0-0_113076_2010-05-06_final
2010-05-06 11:31:49	ga_ls7e_ard_3-0-0_113077_2010-05-06_final
2010-05-06 11:32:13	ga_ls7e_ard_3-0-0_113078_2010-05-06_final
2010-05-06 11:32:36	ga_ls7e_ard_3-0-0_113079_2010-05-06_final
2010-05-06 11:33:00	ga_ls7e_ard_3-1-0_113080_2010-05-06_final
2010-05-06 11:33:24	ga_ls7e_ard_3-0-0_113081_2010-05-06_final
2010-05-06 11:33:48	ga_ls7e_ard_3-0-0_113082_2010-05-06_final
2016-09-27 11:41:59	ga_ls7e_ard_3-0-0_113076_2016-09-27_final
2016-09-27 11:42:23	ga_ls7e_ard_3-0-0_113077_2016-09-27_final
2016-09-27 11:42:47	ga_ls7e_ard_3-0-0_113078_2016-09-27_final
2016-09-27 11:43:11	ga_ls7e_ard_3-0-0_113079_2016-09-27_final
2016-09-27 11:43:35	ga_ls7e_ard_3-0-0_113080_2016-09-27_final
2016-09-27 11:43:59	ga_ls7e_ard_3-0-0_113081_2016-09-27_final
2016-09-27 11:44:23	ga_ls7e_ard_3-0-0_113082_2016-09-27_final
2016-12-23 11:47:01	ga_ls7e_ard_3-0-0_114074_2016-12-23_final
2016-12-23 11:47:25	ga_ls7e_ard_3-0-0_114075_2016-12-23_final
2016-12-23 11:47:48	ga_ls7e_ard_3-0-0_114076_2016-12-23_final
2016-12-23 11:48:12	ga_ls7e_ard_3-0-0_114077_2016-12-23_final
2016-12-23 11:48:36	ga_ls7e_ard_3-0-0_114078_2016-12-23_final
2016-12-25 11:37:26	ga_ls7e_ard_3-0-0_112081_2016-12-25_final
2016-12-25 11:37:50	ga_ls7e_ard_3-0-0_112082_2016-12-25_final
2016-12-25 11:38:14	ga_ls7e_ard_3-0-0_112083_2016-12-25_final
2016-12-25 11:38:37	ga_ls7e_ard_3-1-0_112084_2016-12-25_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-03-03 11:38:46	ga_ls7e_ard_3-1-0_114076_2019-03-03_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-12 11:32:42	ga_ls7e_ard_3-1-0_113077_2019-03-12_final
2019-03-12 11:33:05	ga_ls7e_ard_3-1-0_113078_2019-03-12_final
2019-03-12 11:33:29	ga_ls7e_ard_3-1-0_113079_2019-03-12_final
2019-03-12 11:33:53	ga_ls7e_ard_3-1-0_113080_2019-03-12_final
2019-03-12 11:34:17	ga_ls7e_ard_3-1-0_113081_2019-03-12_final
2019-03-12 11:34:41	ga_ls7e_ard_3-1-0_113082_2019-03-12_final
2019-03-21 11:28:13	ga_ls7e_ard_3-1-0_112082_2019-03-21_final
2019-03-21 11:28:37	ga_ls7e_ard_3-1-0_112083_2019-03-21_final
2019-03-21 11:29:01	ga_ls7e_ard_3-1-0_112084_2019-03-21_final
2019-03-28 11:32:09	ga_ls7e_ard_3-1-0_113077_2019-03-28_final
2019-03-28 11:32:33	ga_ls7e_ard_3-1-0_113078_2019-03-28_final
2019-03-28 11:32:57	ga_ls7e_ard_3-1-0_113079_2019-03-28_final
2019-03-28 11:33:21	ga_ls7e_ard_3-1-0_113080_2019-03-28_final
2019-03-28 11:33:45	ga_ls7e_ard_3-1-0_113081_2019-03-28_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2019-04-04 11:36:54	ga_ls7e_ard_3-0-0_114074_2019-04-04_final
2019-04-04 11:37:18	ga_ls7e_ard_3-0-0_114075_2019-04-04_final
2019-04-04 11:37:42	ga_ls7e_ard_3-0-0_114076_2019-04-04_final
2019-04-04 11:38:06	ga_ls7e_ard_3-0-0_114077_2019-04-04_final
2019-04-04 11:38:30	ga_ls7e_ard_3-0-0_114078_2019-04-04_final
2019-07-02 11:28:37	ga_ls7e_ard_3-0-0_113077_2019-07-02_final
2019-07-02 11:29:01	ga_ls7e_ard_3-0-0_113078_2019-07-02_final
2019-07-02 11:29:25	ga_ls7e_ard_3-0-0_113079_2019-07-02_final
2019-07-02 11:29:49	ga_ls7e_ard_3-0-0_113080_2019-07-02_final
2019-07-02 11:30:13	ga_ls7e_ard_3-0-0_113081_2019-07-02_final
2019-07-02 11:30:37	ga_ls7e_ard_3-0-0_113082_2019-07-02_final
2019-09-20 11:25:18	ga_ls7e_ard_3-1-0_113077_2019-09-20_final
2019-09-20 11:25:42	ga_ls7e_ard_3-1-0_113078_2019-09-20_final
2019-09-20 11:26:06	ga_ls7e_ard_3-1-0_113079_2019-09-20_final
2019-09-20 11:26:30	ga_ls7e_ard_3-1-0_113080_2019-09-20_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-20 11:27:18	ga_ls7e_ard_3-1-0_113082_2019-09-20_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-10-22 11:24:21	ga_ls7e_ard_3-1-0_113078_2019-10-22_final
2019-10-22 11:24:45	ga_ls7e_ard_3-1-0_113079_2019-10-22_final
2019-10-22 11:25:09	ga_ls7e_ard_3-1-0_113080_2019-10-22_final
2019-10-22 11:25:33	ga_ls7e_ard_3-1-0_113081_2019-10-22_final
2019-10-22 11:25:57	ga_ls7e_ard_3-1-0_113082_2019-10-22_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-09 11:22:07	ga_ls7e_ard_3-1-0_113078_2019-12-09_final
2019-12-09 11:22:31	ga_ls7e_ard_3-1-0_113079_2019-12-09_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-18 11:17:29	ga_ls7e_ard_3-1-0_112083_2019-12-18_final
2019-12-18 11:17:53	ga_ls7e_ard_3-1-0_112084_2019-12-18_final
2020-01-26 11:19:17	ga_ls7e_ard_3-1-0_113077_2020-01-26_final
2020-01-26 11:19:41	ga_ls7e_ard_3-1-0_113078_2020-01-26_final
2020-01-26 11:20:05	ga_ls7e_ard_3-1-0_113079_2020-01-26_final
2020-01-26 11:20:29	ga_ls7e_ard_3-1-0_113080_2020-01-26_final
2020-01-26 11:20:53	ga_ls7e_ard_3-1-0_113081_2020-01-26_final
2020-01-26 11:21:17	ga_ls7e_ard_3-1-0_113082_2020-01-26_final
2020-02-11 11:18:29	ga_ls7e_ard_3-1-0_113077_2020-02-11_final
2020-02-11 11:18:52	ga_ls7e_ard_3-1-0_113078_2020-02-11_final
2020-02-11 11:19:16	ga_ls7e_ard_3-1-0_113079_2020-02-11_final
2020-02-11 11:19:40	ga_ls7e_ard_3-1-0_113080_2020-02-11_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years