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
2003-12-29 11:27:21	ga_ls7e_ard_3-0-0_113074_2003-12-29_final
2003-12-29 11:27:45	ga_ls7e_ard_3-0-0_113075_2003-12-29_final
2003-12-29 11:28:08	ga_ls7e_ard_3-0-0_113076_2003-12-29_final
2003-12-29 11:28:32	ga_ls7e_ard_3-0-0_113077_2003-12-29_final
2003-12-29 11:28:56	ga_ls7e_ard_3-0-0_113078_2003-12-29_final
2003-12-31 11:17:47	ga_ls7e_ard_3-0-0_111081_2003-12-31_final
2003-12-31 11:18:11	ga_ls7e_ard_3-1-0_111082_2003-12-31_final
2003-12-31 11:18:35	ga_ls7e_ard_3-0-0_111083_2003-12-31_final
2003-12-31 11:18:59	ga_ls7e_ard_3-0-0_111084_2003-12-31_final
2004-02-08 11:22:34	ga_ls7e_ard_3-0-0_112077_2004-02-08_final
2004-02-08 11:22:58	ga_ls7e_ard_3-0-0_112078_2004-02-08_final
2004-02-08 11:23:22	ga_ls7e_ard_3-1-0_112079_2004-02-08_final
2004-02-08 11:23:46	ga_ls7e_ard_3-0-0_112080_2004-02-08_final
2004-03-18 11:27:43	ga_ls7e_ard_3-0-0_113074_2004-03-18_final
2004-03-18 11:28:07	ga_ls7e_ard_3-0-0_113075_2004-03-18_final
2004-03-18 11:28:31	ga_ls7e_ard_3-0-0_113076_2004-03-18_final
2004-03-18 11:28:55	ga_ls7e_ard_3-0-0_113077_2004-03-18_final
2004-03-18 11:29:18	ga_ls7e_ard_3-0-0_113078_2004-03-18_final
2004-03-20 11:18:09	ga_ls7e_ard_3-0-0_111081_2004-03-20_final
2004-03-20 11:18:33	ga_ls7e_ard_3-1-0_111082_2004-03-20_final
2004-03-20 11:18:57	ga_ls7e_ard_3-0-0_111083_2004-03-20_final
2004-03-27 11:22:45	ga_ls7e_ard_3-0-0_112077_2004-03-27_final
2004-03-27 11:23:08	ga_ls7e_ard_3-0-0_112078_2004-03-27_final
2004-03-27 11:23:32	ga_ls7e_ard_3-0-0_112079_2004-03-27_final
2004-03-27 11:23:56	ga_ls7e_ard_3-0-0_112080_2004-03-27_final
2004-03-27 11:24:20	ga_ls7e_ard_3-0-0_112081_2004-03-27_final
2004-03-27 11:24:44	ga_ls7e_ard_3-0-0_112082_2004-03-27_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2017-12-12 11:36:39	ga_ls7e_ard_3-0-0_112079_2017-12-12_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2018-01-13 11:36:15	ga_ls7e_ard_3-0-0_112079_2018-01-13_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_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
2018-02-28 11:46:01	ga_ls7e_ard_3-0-0_114074_2018-02-28_final
2018-03-02 11:34:49	ga_ls7e_ard_3-0-0_112077_2018-03-02_final
2018-03-02 11:35:13	ga_ls7e_ard_3-0-0_112078_2018-03-02_final
2018-03-02 11:35:37	ga_ls7e_ard_3-0-0_112079_2018-03-02_final
2018-03-02 11:36:01	ga_ls7e_ard_3-0-0_112080_2018-03-02_final
2018-03-02 11:36:25	ga_ls7e_ard_3-0-0_112081_2018-03-02_final
2018-03-02 11:36:49	ga_ls7e_ard_3-0-0_112082_2018-03-02_final
2018-03-02 11:37:13	ga_ls7e_ard_3-0-0_112083_2018-03-02_final
2018-03-09 11:39:44	ga_ls7e_ard_3-0-0_113074_2018-03-09_final
2018-03-09 11:40:07	ga_ls7e_ard_3-0-0_113075_2018-03-09_final
2018-03-09 11:40:31	ga_ls7e_ard_3-0-0_113076_2018-03-09_final
2018-03-09 11:40:55	ga_ls7e_ard_3-0-0_113077_2018-03-09_final
2018-03-09 11:41:19	ga_ls7e_ard_3-0-0_113078_2018-03-09_final
2018-04-26 11:39:00	ga_ls7e_ard_3-0-0_113074_2018-04-26_final
2018-04-26 11:39:24	ga_ls7e_ard_3-0-0_113075_2018-04-26_final
2018-04-26 11:39:48	ga_ls7e_ard_3-0-0_113076_2018-04-26_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
2018-06-22 11:33:02	ga_ls7e_ard_3-0-0_112077_2018-06-22_final
2018-06-22 11:33:26	ga_ls7e_ard_3-0-0_112078_2018-06-22_final
2018-06-22 11:33:50	ga_ls7e_ard_3-0-0_112079_2018-06-22_final
2018-06-22 11:34:14	ga_ls7e_ard_3-0-0_112080_2018-06-22_final
2018-06-22 11:34:38	ga_ls7e_ard_3-0-0_112081_2018-06-22_final
2018-06-22 11:35:02	ga_ls7e_ard_3-0-0_112082_2018-06-22_final
2018-06-22 11:35:26	ga_ls7e_ard_3-0-0_112083_2018-06-22_final
2018-08-07 11:43:21	ga_ls7e_ard_3-0-0_114074_2018-08-07_final
2018-08-09 11:32:09	ga_ls7e_ard_3-0-0_112077_2018-08-09_final
2018-08-09 11:32:33	ga_ls7e_ard_3-0-0_112078_2018-08-09_final
2018-08-09 11:32:57	ga_ls7e_ard_3-1-0_112079_2018-08-09_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2018-08-09 11:33:45	ga_ls7e_ard_3-0-0_112081_2018-08-09_final
2018-08-09 11:34:09	ga_ls7e_ard_3-0-0_112082_2018-08-09_final
2018-08-09 11:34:33	ga_ls7e_ard_3-0-0_112083_2018-08-09_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-14 11:15:58	ga_ls7e_ard_3-1-0_113075_2020-03-14_final
2020-03-14 11:16:22	ga_ls7e_ard_3-1-0_113076_2020-03-14_final
2020-03-14 11:16:46	ga_ls7e_ard_3-1-0_113077_2020-03-14_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-04-22 11:19:32	ga_ls7e_ard_3-1-0_114074_2020-04-22_final
2020-04-24 11:08:15	ga_ls7e_ard_3-1-0_112077_2020-04-24_final
2020-04-24 11:08:39	ga_ls7e_ard_3-1-0_112078_2020-04-24_final
2020-04-24 11:09:03	ga_ls7e_ard_3-1-0_112079_2020-04-24_final
2020-04-24 11:09:27	ga_ls7e_ard_3-1-0_112080_2020-04-24_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2020-04-24 11:10:15	ga_ls7e_ard_3-1-0_112082_2020-04-24_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2020-05-03 11:03:08	ga_ls7e_ard_3-1-0_111081_2020-05-03_final
2020-05-03 11:03:32	ga_ls7e_ard_3-1-0_111082_2020-05-03_final
2020-05-03 11:03:56	ga_ls7e_ard_3-1-0_111083_2020-05-03_final
2020-05-03 11:04:20	ga_ls7e_ard_3-1-0_111084_2020-05-03_final
2020-05-08 11:18:34	ga_ls7e_ard_3-1-0_114074_2020-05-08_final
2020-06-09 11:16:39	ga_ls7e_ard_3-1-0_114074_2020-06-09_final
2020-06-11 11:05:22	ga_ls7e_ard_3-1-0_112077_2020-06-11_final
2020-06-11 11:05:46	ga_ls7e_ard_3-1-0_112078_2020-06-11_final
2020-06-11 11:06:10	ga_ls7e_ard_3-1-0_112079_2020-06-11_final
2020-06-11 11:06:34	ga_ls7e_ard_3-1-0_112080_2020-06-11_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
2020-07-04 11:08:59	ga_ls7e_ard_3-1-0_113074_2020-07-04_final
2020-07-04 11:09:23	ga_ls7e_ard_3-1-0_113075_2020-07-04_final
2020-07-04 11:09:47	ga_ls7e_ard_3-1-0_113076_2020-07-04_final
2020-07-04 11:10:11	ga_ls7e_ard_3-1-0_113077_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years