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
2012-12-23 11:25:01	ga_ls7e_ard_3-0-0_111081_2012-12-23_final
2012-12-23 11:25:25	ga_ls7e_ard_3-1-0_111082_2012-12-23_final
2012-12-23 11:25:49	ga_ls7e_ard_3-0-0_111083_2012-12-23_final
2013-01-31 11:29:40	ga_ls7e_ard_3-0-0_112077_2013-01-31_final
2013-01-31 11:30:04	ga_ls7e_ard_3-0-0_112078_2013-01-31_final
2013-01-31 11:30:28	ga_ls7e_ard_3-0-0_112079_2013-01-31_final
2013-01-31 11:30:52	ga_ls7e_ard_3-0-0_112080_2013-01-31_final
2013-01-31 11:31:16	ga_ls7e_ard_3-0-0_112081_2013-01-31_final
2013-01-31 11:31:40	ga_ls7e_ard_3-0-0_112082_2013-01-31_final
2013-02-23 11:34:36	ga_ls7e_ard_3-0-0_113074_2013-02-23_final
2013-02-23 11:35:00	ga_ls7e_ard_3-0-0_113075_2013-02-23_final
2013-02-23 11:35:24	ga_ls7e_ard_3-0-0_113076_2013-02-23_final
2013-02-23 11:35:48	ga_ls7e_ard_3-0-0_113077_2013-02-23_final
2013-02-23 11:36:12	ga_ls7e_ard_3-0-0_113078_2013-02-23_final
2013-02-25 11:25:01	ga_ls7e_ard_3-0-0_111081_2013-02-25_final
2013-02-25 11:25:25	ga_ls7e_ard_3-1-0_111082_2013-02-25_final
2013-02-25 11:25:49	ga_ls7e_ard_3-0-0_111083_2013-02-25_final
2013-02-25 11:26:13	ga_ls7e_ard_3-0-0_111084_2013-02-25_final
2013-06-24 11:31:04	ga_ls7e_ard_3-0-0_112082_2013-06-24_final
2013-06-26 11:19:29	ga_ls7e_ard_3-0-0_110084_2013-06-26_final
2013-08-02 11:33:42	ga_ls7e_ard_3-0-0_113074_2013-08-02_final
2013-08-02 11:34:06	ga_ls7e_ard_3-0-0_113075_2013-08-02_final
2013-08-02 11:34:30	ga_ls7e_ard_3-0-0_113076_2013-08-02_final
2013-08-02 11:34:54	ga_ls7e_ard_3-0-0_113077_2013-08-02_final
2013-08-02 11:35:18	ga_ls7e_ard_3-0-0_113078_2013-08-02_final
2013-08-04 11:24:08	ga_ls7e_ard_3-0-0_111081_2013-08-04_final
2013-08-04 11:24:32	ga_ls7e_ard_3-1-0_111082_2013-08-04_final
2013-08-04 11:24:56	ga_ls7e_ard_3-0-0_111083_2013-08-04_final
2013-08-04 11:25:20	ga_ls7e_ard_3-0-0_111084_2013-08-04_final
2015-09-09 11:38:20	ga_ls7e_ard_3-0-0_113074_2015-09-09_final
2015-09-09 11:38:44	ga_ls7e_ard_3-0-0_113075_2015-09-09_final
2015-09-09 11:39:08	ga_ls7e_ard_3-0-0_113076_2015-09-09_final
2015-09-09 11:39:32	ga_ls7e_ard_3-0-0_113077_2015-09-09_final
2015-09-09 11:39:56	ga_ls7e_ard_3-0-0_113078_2015-09-09_final
2015-12-23 11:34:21	ga_ls7e_ard_3-0-0_112076_2015-12-23_final
2015-12-23 11:34:45	ga_ls7e_ard_3-0-0_112077_2015-12-23_final
2015-12-23 11:35:09	ga_ls7e_ard_3-0-0_112078_2015-12-23_final
2015-12-23 11:35:33	ga_ls7e_ard_3-1-0_112079_2015-12-23_final
2015-12-23 11:35:57	ga_ls7e_ard_3-0-0_112080_2015-12-23_final
2015-12-23 11:36:21	ga_ls7e_ard_3-0-0_112081_2015-12-23_final
2015-12-23 11:36:44	ga_ls7e_ard_3-0-0_112082_2015-12-23_final
2015-12-25 11:25:12	ga_ls7e_ard_3-0-0_110084_2015-12-25_final
2016-03-14 11:25:59	ga_ls7e_ard_3-0-0_110084_2016-03-14_final
2016-04-29 11:35:49	ga_ls7e_ard_3-0-0_112077_2016-04-29_final
2016-04-29 11:36:13	ga_ls7e_ard_3-0-0_112078_2016-04-29_final
2016-04-29 11:36:37	ga_ls7e_ard_3-0-0_112079_2016-04-29_final
2016-04-29 11:37:01	ga_ls7e_ard_3-0-0_112080_2016-04-29_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_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
2018-01-31 11:25:36	ga_ls7e_ard_3-0-0_110084_2018-01-31_final
2018-02-23 11:30:19	ga_ls7e_ard_3-0-0_111081_2018-02-23_final
2018-02-23 11:30:43	ga_ls7e_ard_3-1-0_111082_2018-02-23_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
2018-06-24 11:23:26	ga_ls7e_ard_3-0-0_110084_2018-06-24_final
2018-08-02 11:27:42	ga_ls7e_ard_3-0-0_111081_2018-08-02_final
2018-08-02 11:28:05	ga_ls7e_ard_3-1-0_111082_2018-08-02_final
2018-08-02 11:28:29	ga_ls7e_ard_3-0-0_111083_2018-08-02_final
2018-08-02 11:28:53	ga_ls7e_ard_3-0-0_111084_2018-08-02_final
2018-08-16 11:37:00	ga_ls7e_ard_3-0-0_113074_2018-08-16_final
2018-08-16 11:37:24	ga_ls7e_ard_3-0-0_113075_2018-08-16_final
2018-08-16 11:37:48	ga_ls7e_ard_3-0-0_113076_2018-08-16_final
2018-08-16 11:38:12	ga_ls7e_ard_3-0-0_113077_2018-08-16_final
2018-08-16 11:38:36	ga_ls7e_ard_3-0-0_113078_2018-08-16_final
2018-09-03 11:27:04	ga_ls7e_ard_3-0-0_111081_2018-09-03_final
2018-09-03 11:27:28	ga_ls7e_ard_3-1-0_111082_2018-09-03_final
2018-09-03 11:27:52	ga_ls7e_ard_3-0-0_111083_2018-09-03_final
2018-09-03 11:28:16	ga_ls7e_ard_3-0-0_111084_2018-09-03_final
2018-09-10 11:31:30	ga_ls7e_ard_3-1-0_112077_2018-09-10_final
2018-09-10 11:31:54	ga_ls7e_ard_3-0-0_112078_2018-09-10_final
2018-09-10 11:32:18	ga_ls7e_ard_3-0-0_112079_2018-09-10_final
2018-09-10 11:32:42	ga_ls7e_ard_3-0-0_112080_2018-09-10_final
2018-09-10 11:33:06	ga_ls7e_ard_3-0-0_112081_2018-09-10_final
2018-09-10 11:33:29	ga_ls7e_ard_3-0-0_112082_2018-09-10_final
2018-11-04 11:35:13	ga_ls7e_ard_3-0-0_113074_2018-11-04_final
2018-11-04 11:35:37	ga_ls7e_ard_3-0-0_113075_2018-11-04_final
2018-11-04 11:36:01	ga_ls7e_ard_3-0-0_113076_2018-11-04_final
2018-11-04 11:36:25	ga_ls7e_ard_3-0-0_113077_2018-11-04_final
2018-11-04 11:36:48	ga_ls7e_ard_3-0-0_113078_2018-11-04_final
2018-11-06 11:25:36	ga_ls7e_ard_3-0-0_111081_2018-11-06_final
2018-11-06 11:26:48	ga_ls7e_ard_3-0-0_111084_2018-11-06_final
2018-11-22 11:25:13	ga_ls7e_ard_3-0-0_111081_2018-11-22_final
2018-11-22 11:26:25	ga_ls7e_ard_3-0-0_111084_2018-11-22_final
2019-01-16 11:28:37	ga_ls7e_ard_3-0-0_112078_2019-01-16_final
2019-01-16 11:29:01	ga_ls7e_ard_3-0-0_112079_2019-01-16_final
2019-01-16 11:29:25	ga_ls7e_ard_3-0-0_112080_2019-01-16_final
2019-01-16 11:29:49	ga_ls7e_ard_3-0-0_112081_2019-01-16_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