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
2017-11-26 11:35:36	ga_ls7e_ard_3-0-0_112076_2017-11-26_final
2017-11-26 11:36:00	ga_ls7e_ard_3-0-0_112077_2017-11-26_final
2017-11-26 11:36:24	ga_ls7e_ard_3-0-0_112078_2017-11-26_final
2017-11-26 11:36:47	ga_ls7e_ard_3-0-0_112079_2017-11-26_final
2017-11-26 11:37:11	ga_ls7e_ard_3-0-0_112080_2017-11-26_final
2017-11-26 11:37:35	ga_ls7e_ard_3-0-0_112081_2017-11-26_final
2017-11-26 11:37:59	ga_ls7e_ard_3-0-0_112082_2017-11-26_final
2017-11-28 11:26:25	ga_ls7e_ard_3-0-0_110084_2017-11-28_final
2017-12-19 11:40:46	ga_ls7e_ard_3-0-0_113074_2017-12-19_final
2017-12-19 11:41:10	ga_ls7e_ard_3-0-0_113075_2017-12-19_final
2017-12-19 11:41:34	ga_ls7e_ard_3-0-0_113076_2017-12-19_final
2017-12-19 11:41:58	ga_ls7e_ard_3-0-0_113077_2017-12-19_final
2017-12-19 11:42:22	ga_ls7e_ard_3-0-0_113078_2017-12-19_final
2017-12-21 11:30:47	ga_ls7e_ard_3-0-0_111080_2017-12-21_final
2017-12-21 11:31:11	ga_ls7e_ard_3-0-0_111081_2017-12-21_final
2017-12-21 11:31:35	ga_ls7e_ard_3-1-0_111082_2017-12-21_final
2017-12-21 11:31:59	ga_ls7e_ard_3-0-0_111083_2017-12-21_final
2017-12-21 11:32:23	ga_ls7e_ard_3-0-0_111084_2017-12-21_final
2018-02-28 11:43:13	ga_ls7e_ard_3-0-0_114067_2018-02-28_final
2018-03-02 11:34:26	ga_ls7e_ard_3-0-0_112076_2018-03-02_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
2018-03-25 11:39:31	ga_ls7e_ard_3-0-0_113074_2018-03-25_final
2018-03-25 11:39:55	ga_ls7e_ard_3-0-0_113075_2018-03-25_final
2018-03-25 11:40:19	ga_ls7e_ard_3-0-0_113076_2018-03-25_final
2018-03-25 11:40:43	ga_ls7e_ard_3-0-0_113077_2018-03-25_final
2018-03-25 11:41:07	ga_ls7e_ard_3-0-0_113078_2018-03-25_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
2018-05-12 11:38:43	ga_ls7e_ard_3-0-0_113074_2018-05-12_final
2018-05-12 11:39:07	ga_ls7e_ard_3-0-0_113075_2018-05-12_final
2018-05-12 11:39:30	ga_ls7e_ard_3-0-0_113076_2018-05-12_final
2018-05-12 11:39:54	ga_ls7e_ard_3-0-0_113077_2018-05-12_final
2018-05-12 11:40:18	ga_ls7e_ard_3-0-0_113078_2018-05-12_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2018-08-07 11:40:33	ga_ls7e_ard_3-0-0_114067_2018-08-07_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2018-10-19 11:35:57	ga_ls7e_ard_3-0-0_113075_2018-10-19_final
2018-10-19 11:36:21	ga_ls7e_ard_3-0-0_113076_2018-10-19_final
2018-10-19 11:36:45	ga_ls7e_ard_3-0-0_113077_2018-10-19_final
2018-10-19 11:37:09	ga_ls7e_ard_3-0-0_113078_2018-10-19_final
2019-02-24 11:32:00	ga_ls7e_ard_3-1-0_113074_2019-02-24_final
2019-02-24 11:32:24	ga_ls7e_ard_3-1-0_113075_2019-02-24_final
2019-02-24 11:32:48	ga_ls7e_ard_3-1-0_113076_2019-02-24_final
2019-02-24 11:33:12	ga_ls7e_ard_3-1-0_113077_2019-02-24_final
2019-02-24 11:33:36	ga_ls7e_ard_3-1-0_113078_2019-02-24_final
2019-02-26 11:22:22	ga_ls7e_ard_3-1-0_111081_2019-02-26_final
2019-02-26 11:22:46	ga_ls7e_ard_3-1-0_111082_2019-02-26_final
2019-02-26 11:23:34	ga_ls7e_ard_3-1-0_111084_2019-02-26_final
2019-03-30 11:21:20	ga_ls7e_ard_3-0-0_111081_2019-03-30_final
2019-03-30 11:21:43	ga_ls7e_ard_3-1-0_111082_2019-03-30_final
2019-03-30 11:22:07	ga_ls7e_ard_3-0-0_111083_2019-03-30_final
2019-03-30 11:22:31	ga_ls7e_ard_3-0-0_111084_2019-03-30_final
2019-05-06 11:32:56	ga_ls7e_ard_3-0-0_114067_2019-05-06_final
2019-05-08 11:24:05	ga_ls7e_ard_3-0-0_112076_2019-05-08_final
2019-05-08 11:24:29	ga_ls7e_ard_3-0-0_112077_2019-05-08_final
2019-05-08 11:24:53	ga_ls7e_ard_3-0-0_112078_2019-05-08_final
2019-05-08 11:25:17	ga_ls7e_ard_3-1-0_112079_2019-05-08_final
2019-05-08 11:25:41	ga_ls7e_ard_3-0-0_112080_2019-05-08_final
2019-05-08 11:26:05	ga_ls7e_ard_3-0-0_112081_2019-05-08_final
2019-05-08 11:26:29	ga_ls7e_ard_3-0-0_112082_2019-05-08_final
2019-08-14 11:11:09	ga_ls7e_ard_3-0-0_110084_2019-08-14_final
2019-09-20 11:24:06	ga_ls7e_ard_3-1-0_113074_2019-09-20_final
2019-09-20 11:24:30	ga_ls7e_ard_3-1-0_113075_2019-09-20_final
2019-09-20 11:24:54	ga_ls7e_ard_3-1-0_113076_2019-09-20_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
2019-10-08 11:13:47	ga_ls7e_ard_3-1-0_111081_2019-10-08_final
2019-10-08 11:14:11	ga_ls7e_ard_3-1-0_111082_2019-10-08_final
2019-10-08 11:14:35	ga_ls7e_ard_3-1-0_111083_2019-10-08_final
2019-10-08 11:14:59	ga_ls7e_ard_3-1-0_111084_2019-10-08_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-10-22 11:23:33	ga_ls7e_ard_3-1-0_113076_2019-10-22_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
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_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
2019-11-02 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
2020-01-21 11:03:47	ga_ls7e_ard_3-1-0_110084_2020-01-21_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-01-26 11:18:29	ga_ls7e_ard_3-1-0_113075_2020-01-26_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_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

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