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
2005-03-21 11:29:20	ga_ls7e_ard_3-0-0_113077_2005-03-21_final
2005-03-21 11:29:44	ga_ls7e_ard_3-0-0_113078_2005-03-21_final
2005-03-21 11:30:08	ga_ls7e_ard_3-0-0_113079_2005-03-21_final
2005-03-21 11:30:32	ga_ls7e_ard_3-0-0_113080_2005-03-21_final
2005-03-21 11:30:56	ga_ls7e_ard_3-0-0_113081_2005-03-21_final
2005-03-21 11:31:20	ga_ls7e_ard_3-0-0_113082_2005-03-21_final
2005-05-24 11:29:14	ga_ls7e_ard_3-0-0_113077_2005-05-24_final
2005-05-24 11:29:38	ga_ls7e_ard_3-0-0_113078_2005-05-24_final
2005-05-24 11:30:02	ga_ls7e_ard_3-0-0_113079_2005-05-24_final
2005-05-24 11:30:26	ga_ls7e_ard_3-0-0_113080_2005-05-24_final
2005-05-24 11:30:50	ga_ls7e_ard_3-0-0_113081_2005-05-24_final
2005-05-24 11:31:14	ga_ls7e_ard_3-0-0_113082_2005-05-24_final
2005-07-27 11:29:03	ga_ls7e_ard_3-0-0_113077_2005-07-27_final
2005-07-27 11:29:27	ga_ls7e_ard_3-0-0_113078_2005-07-27_final
2005-07-27 11:29:51	ga_ls7e_ard_3-0-0_113079_2005-07-27_final
2005-07-27 11:30:15	ga_ls7e_ard_3-0-0_113080_2005-07-27_final
2005-07-27 11:30:39	ga_ls7e_ard_3-0-0_113081_2005-07-27_final
2005-07-27 11:31:03	ga_ls7e_ard_3-0-0_113082_2005-07-27_final
2017-12-26 11:46:52	ga_ls7e_ard_3-0-0_114074_2017-12-26_final
2017-12-26 11:47:16	ga_ls7e_ard_3-0-0_114075_2017-12-26_final
2017-12-26 11:47:40	ga_ls7e_ard_3-0-0_114076_2017-12-26_final
2017-12-26 11:48:04	ga_ls7e_ard_3-0-0_114077_2017-12-26_final
2017-12-26 11:48:28	ga_ls7e_ard_3-0-0_114078_2017-12-26_final
2017-12-28 11:37:17	ga_ls7e_ard_3-0-0_112081_2017-12-28_final
2017-12-28 11:37:41	ga_ls7e_ard_3-0-0_112082_2017-12-28_final
2017-12-28 11:38:04	ga_ls7e_ard_3-0-0_112083_2017-12-28_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-01-04 11:41:22	ga_ls7e_ard_3-0-0_113076_2018-01-04_final
2018-01-04 11:41:46	ga_ls7e_ard_3-0-0_113077_2018-01-04_final
2018-01-04 11:42:10	ga_ls7e_ard_3-0-0_113078_2018-01-04_final
2018-01-04 11:42:34	ga_ls7e_ard_3-0-0_113079_2018-01-04_final
2018-01-04 11:42:58	ga_ls7e_ard_3-0-0_113080_2018-01-04_final
2018-01-04 11:43:22	ga_ls7e_ard_3-0-0_113081_2018-01-04_final
2018-01-04 11:43:46	ga_ls7e_ard_3-0-0_113082_2018-01-04_final
2018-01-11 11:46:39	ga_ls7e_ard_3-0-0_114074_2018-01-11_final
2018-01-11 11:47:03	ga_ls7e_ard_3-0-0_114075_2018-01-11_final
2018-01-11 11:47:27	ga_ls7e_ard_3-0-0_114076_2018-01-11_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-01-11 11:48:15	ga_ls7e_ard_3-0-0_114078_2018-01-11_final
2018-01-13 11:37:03	ga_ls7e_ard_3-0-0_112081_2018-01-13_final
2018-01-13 11:37:27	ga_ls7e_ard_3-0-0_112082_2018-01-13_final
2018-01-13 11:37:51	ga_ls7e_ard_3-0-0_112083_2018-01-13_final
2018-01-13 11:38:15	ga_ls7e_ard_3-0-0_112084_2018-01-13_final
2018-01-20 11:41:32	ga_ls7e_ard_3-0-0_113077_2018-01-20_final
2018-01-20 11:41:56	ga_ls7e_ard_3-0-0_113078_2018-01-20_final
2018-01-20 11:42:20	ga_ls7e_ard_3-0-0_113079_2018-01-20_final
2018-01-20 11:42:44	ga_ls7e_ard_3-0-0_113080_2018-01-20_final
2018-01-20 11:43:08	ga_ls7e_ard_3-0-0_113081_2018-01-20_final
2018-01-22 11:31:56	ga_ls7e_ard_3-0-0_111084_2018-01-22_final
2018-03-16 11:45:49	ga_ls7e_ard_3-0-0_114074_2018-03-16_final
2018-03-16 11:46:13	ga_ls7e_ard_3-0-0_114075_2018-03-16_final
2018-03-16 11:46:37	ga_ls7e_ard_3-0-0_114076_2018-03-16_final
2018-03-16 11:47:01	ga_ls7e_ard_3-0-0_114077_2018-03-16_final
2018-03-16 11:47:25	ga_ls7e_ard_3-0-0_114078_2018-03-16_final
2018-03-18 11:36:14	ga_ls7e_ard_3-0-0_112081_2018-03-18_final
2018-03-18 11:36:37	ga_ls7e_ard_3-0-0_112082_2018-03-18_final
2018-03-18 11:37:01	ga_ls7e_ard_3-0-0_112083_2018-03-18_final
2018-03-18 11:37:25	ga_ls7e_ard_3-0-0_112084_2018-03-18_final
2018-04-26 11:40:12	ga_ls7e_ard_3-0-0_113077_2018-04-26_final
2018-04-26 11:40:36	ga_ls7e_ard_3-0-0_113078_2018-04-26_final
2018-04-26 11:41:00	ga_ls7e_ard_3-0-0_113079_2018-04-26_final
2018-04-26 11:41:24	ga_ls7e_ard_3-1-0_113080_2018-04-26_final
2018-04-26 11:41:47	ga_ls7e_ard_3-0-0_113081_2018-04-26_final
2018-04-26 11:42:11	ga_ls7e_ard_3-0-0_113082_2018-04-26_final
2018-05-19 11:44:47	ga_ls7e_ard_3-0-0_114074_2018-05-19_final
2018-05-19 11:45:11	ga_ls7e_ard_3-0-0_114075_2018-05-19_final
2018-05-19 11:45:35	ga_ls7e_ard_3-0-0_114076_2018-05-19_final
2018-05-19 11:45:59	ga_ls7e_ard_3-0-0_114077_2018-05-19_final
2018-05-19 11:46:23	ga_ls7e_ard_3-0-0_114078_2018-05-19_final
2018-05-21 11:35:11	ga_ls7e_ard_3-0-0_112081_2018-05-21_final
2018-05-21 11:35:35	ga_ls7e_ard_3-0-0_112082_2018-05-21_final
2018-05-21 11:35:59	ga_ls7e_ard_3-0-0_112083_2018-05-21_final
2018-05-21 11:36:23	ga_ls7e_ard_3-0-0_112084_2018-05-21_final
2018-06-04 11:44:32	ga_ls7e_ard_3-0-0_114074_2018-06-04_final
2018-06-04 11:44:56	ga_ls7e_ard_3-0-0_114075_2018-06-04_final
2018-06-04 11:45:20	ga_ls7e_ard_3-0-0_114076_2018-06-04_final
2018-06-04 11:45:44	ga_ls7e_ard_3-0-0_114077_2018-06-04_final
2018-06-06 11:34:56	ga_ls7e_ard_3-0-0_112081_2018-06-06_final
2018-06-06 11:35:20	ga_ls7e_ard_3-0-0_112082_2018-06-06_final
2018-06-06 11:35:44	ga_ls7e_ard_3-0-0_112083_2018-06-06_final
2018-06-06 11:36:08	ga_ls7e_ard_3-1-0_112084_2018-06-06_final
2018-07-06 11:43:55	ga_ls7e_ard_3-0-0_114074_2018-07-06_final
2018-07-06 11:44:19	ga_ls7e_ard_3-0-0_114075_2018-07-06_final
2018-07-06 11:44:43	ga_ls7e_ard_3-0-0_114076_2018-07-06_final
2018-07-06 11:45:07	ga_ls7e_ard_3-0-0_114077_2018-07-06_final
2018-07-06 11:45:31	ga_ls7e_ard_3-0-0_114078_2018-07-06_final
2018-07-08 11:34:19	ga_ls7e_ard_3-0-0_112081_2018-07-08_final
2018-07-08 11:34:43	ga_ls7e_ard_3-0-0_112082_2018-07-08_final
2018-07-08 11:35:07	ga_ls7e_ard_3-0-0_112083_2018-07-08_final
2018-07-08 11:35:30	ga_ls7e_ard_3-0-0_112084_2018-07-08_final
2018-07-22 11:43:38	ga_ls7e_ard_3-0-0_114074_2018-07-22_final
2018-07-22 11:44:02	ga_ls7e_ard_3-0-0_114075_2018-07-22_final
2018-07-22 11:44:26	ga_ls7e_ard_3-0-0_114076_2018-07-22_final
2018-07-22 11:44:50	ga_ls7e_ard_3-0-0_114077_2018-07-22_final
2018-07-22 11:45:14	ga_ls7e_ard_3-0-0_114078_2018-07-22_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

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