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
2014-11-04 11:22:06	ga_ls7e_ard_3-0-0_110084_2014-11-04_final
2014-11-18 11:31:18	ga_ls7e_ard_3-0-0_112076_2014-11-18_final
2014-11-18 11:31:42	ga_ls7e_ard_3-0-0_112077_2014-11-18_final
2014-11-18 11:32:06	ga_ls7e_ard_3-0-0_112078_2014-11-18_final
2014-11-18 11:32:30	ga_ls7e_ard_3-0-0_112079_2014-11-18_final
2014-11-18 11:32:54	ga_ls7e_ard_3-0-0_112080_2014-11-18_final
2014-11-18 11:33:18	ga_ls7e_ard_3-0-0_112081_2014-11-18_final
2014-11-18 11:33:42	ga_ls7e_ard_3-0-0_112082_2014-11-18_final
2014-11-20 11:22:09	ga_ls7e_ard_3-0-0_110084_2014-11-20_final
2014-11-25 11:36:44	ga_ls7e_ard_3-0-0_113074_2014-11-25_final
2014-11-25 11:37:08	ga_ls7e_ard_3-0-0_113075_2014-11-25_final
2014-11-25 11:37:32	ga_ls7e_ard_3-0-0_113076_2014-11-25_final
2014-11-25 11:37:56	ga_ls7e_ard_3-0-0_113077_2014-11-25_final
2014-11-25 11:38:20	ga_ls7e_ard_3-0-0_113078_2014-11-25_final
2014-12-06 11:22:17	ga_ls7e_ard_3-0-0_110084_2014-12-06_final
2014-12-11 11:36:52	ga_ls7e_ard_3-0-0_113074_2014-12-11_final
2014-12-11 11:37:16	ga_ls7e_ard_3-0-0_113075_2014-12-11_final
2014-12-11 11:37:39	ga_ls7e_ard_3-0-0_113076_2014-12-11_final
2014-12-11 11:38:03	ga_ls7e_ard_3-0-0_113077_2014-12-11_final
2014-12-11 11:38:27	ga_ls7e_ard_3-0-0_113078_2014-12-11_final
2015-02-22 11:31:51	ga_ls7e_ard_3-0-0_112076_2015-02-22_final
2015-02-22 11:32:15	ga_ls7e_ard_3-0-0_112077_2015-02-22_final
2015-02-22 11:32:39	ga_ls7e_ard_3-0-0_112078_2015-02-22_final
2015-02-22 11:33:03	ga_ls7e_ard_3-0-0_112079_2015-02-22_final
2015-02-22 11:33:27	ga_ls7e_ard_3-0-0_112080_2015-02-22_final
2015-02-22 11:33:51	ga_ls7e_ard_3-0-0_112081_2015-02-22_final
2015-02-22 11:34:15	ga_ls7e_ard_3-0-0_112082_2015-02-22_final
2015-03-17 11:37:26	ga_ls7e_ard_3-0-0_113074_2015-03-17_final
2015-03-17 11:37:50	ga_ls7e_ard_3-0-0_113075_2015-03-17_final
2015-03-17 11:38:13	ga_ls7e_ard_3-0-0_113076_2015-03-17_final
2015-03-17 11:38:37	ga_ls7e_ard_3-0-0_113077_2015-03-17_final
2015-03-17 11:39:01	ga_ls7e_ard_3-0-0_113078_2015-03-17_final
2015-07-14 11:41:34	ga_ls7e_ard_3-0-0_114067_2015-07-14_final
2015-08-08 11:38:16	ga_ls7e_ard_3-0-0_113074_2015-08-08_final
2015-08-08 11:38:40	ga_ls7e_ard_3-0-0_113075_2015-08-08_final
2015-08-08 11:39:04	ga_ls7e_ard_3-0-0_113076_2015-08-08_final
2015-08-08 11:39:28	ga_ls7e_ard_3-0-0_113077_2015-08-08_final
2015-08-08 11:39:52	ga_ls7e_ard_3-0-0_113078_2015-08-08_final
2015-08-10 11:28:42	ga_ls7e_ard_3-0-0_111081_2015-08-10_final
2015-08-10 11:29:06	ga_ls7e_ard_3-1-0_111082_2015-08-10_final
2015-08-10 11:29:30	ga_ls7e_ard_3-0-0_111083_2015-08-10_final
2015-08-10 11:29:54	ga_ls7e_ard_3-0-0_111084_2015-08-10_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-04-03 11:34:00	ga_ls7e_ard_3-0-0_112076_2018-04-03_final
2018-04-03 11:34:24	ga_ls7e_ard_3-0-0_112077_2018-04-03_final
2018-04-03 11:34:48	ga_ls7e_ard_3-0-0_112078_2018-04-03_final
2018-04-03 11:35:12	ga_ls7e_ard_3-0-0_112079_2018-04-03_final
2018-04-03 11:35:36	ga_ls7e_ard_3-0-0_112080_2018-04-03_final
2018-04-03 11:36:00	ga_ls7e_ard_3-0-0_112081_2018-04-03_final
2018-04-03 11:36:24	ga_ls7e_ard_3-0-0_112082_2018-04-03_final
2018-04-19 11:33:44	ga_ls7e_ard_3-0-0_112076_2018-04-19_final
2018-04-19 11:34:08	ga_ls7e_ard_3-0-0_112077_2018-04-19_final
2018-04-19 11:34:32	ga_ls7e_ard_3-0-0_112078_2018-04-19_final
2018-04-19 11:34:56	ga_ls7e_ard_3-1-0_112079_2018-04-19_final
2018-04-19 11:35:20	ga_ls7e_ard_3-0-0_112080_2018-04-19_final
2018-04-19 11:35:44	ga_ls7e_ard_3-0-0_112081_2018-04-19_final
2018-04-21 11:24:32	ga_ls7e_ard_3-0-0_110084_2018-04-21_final
2018-06-15 11:28:35	ga_ls7e_ard_3-0-0_111081_2018-06-15_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2018-06-15 11:29:23	ga_ls7e_ard_3-0-0_111083_2018-06-15_final
2018-06-15 11:29:47	ga_ls7e_ard_3-0-0_111084_2018-06-15_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2018-09-01 11:36:40	ga_ls7e_ard_3-0-0_113074_2018-09-01_final
2018-09-01 11:37:04	ga_ls7e_ard_3-0-0_113075_2018-09-01_final
2018-09-01 11:37:28	ga_ls7e_ard_3-0-0_113076_2018-09-01_final
2018-09-01 11:37:52	ga_ls7e_ard_3-0-0_113077_2018-09-01_final
2018-09-01 11:38:16	ga_ls7e_ard_3-0-0_113078_2018-09-01_final
2018-09-24 11:39:33	ga_ls7e_ard_3-0-0_114067_2018-09-24_final
2019-02-10 11:22:52	ga_ls7e_ard_3-0-0_111081_2019-02-10_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-07-11 11:22:30	ga_ls7e_ard_3-0-0_112078_2019-07-11_final
2019-07-11 11:22:54	ga_ls7e_ard_3-1-0_112079_2019-07-11_final
2019-07-11 11:23:18	ga_ls7e_ard_3-0-0_112080_2019-07-11_final
2019-07-11 11:23:42	ga_ls7e_ard_3-0-0_112081_2019-07-11_final
2019-07-11 11:24:06	ga_ls7e_ard_3-0-0_112082_2019-07-11_final
2019-08-14 11:11:09	ga_ls7e_ard_3-0-0_110084_2019-08-14_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-15 11:18:04	ga_ls7e_ard_3-1-0_112077_2019-10-15_final
2019-10-15 11:18:28	ga_ls7e_ard_3-1-0_112078_2019-10-15_final
2019-10-15 11:18:52	ga_ls7e_ard_3-1-0_112079_2019-10-15_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_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
2019-10-31 11:17:23	ga_ls7e_ard_3-1-0_112077_2019-10-31_final
2019-10-31 11:17:47	ga_ls7e_ard_3-1-0_112078_2019-10-31_final
2019-10-31 11:18:11	ga_ls7e_ard_3-1-0_112079_2019-10-31_final
2019-10-31 11:18:35	ga_ls7e_ard_3-1-0_112080_2019-10-31_final
2019-10-31 11:18:59	ga_ls7e_ard_3-1-0_112081_2019-10-31_final
2019-10-31 11:19:23	ga_ls7e_ard_3-1-0_112082_2019-10-31_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-12-09 11:20:31	ga_ls7e_ard_3-1-0_113074_2019-12-09_final
2019-12-09 11:20:55	ga_ls7e_ard_3-1-0_113075_2019-12-09_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_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
2019-12-18 11:15:05	ga_ls7e_ard_3-1-0_112077_2019-12-18_final
2019-12-18 11:15:29	ga_ls7e_ard_3-1-0_112078_2019-12-18_final
2019-12-18 11:15:53	ga_ls7e_ard_3-1-0_112079_2019-12-18_final
2019-12-18 11:16:17	ga_ls7e_ard_3-1-0_112080_2019-12-18_final
2019-12-18 11:16:41	ga_ls7e_ard_3-1-0_112081_2019-12-18_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