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
2012-08-15 11:33:35	ga_ls7e_ard_3-0-0_113074_2012-08-15_final
2012-08-15 11:33:59	ga_ls7e_ard_3-0-0_113075_2012-08-15_final
2012-08-15 11:34:23	ga_ls7e_ard_3-0-0_113076_2012-08-15_final
2012-08-15 11:34:47	ga_ls7e_ard_3-0-0_113077_2012-08-15_final
2012-08-15 11:35:11	ga_ls7e_ard_3-0-0_113078_2012-08-15_final
2012-08-17 11:24:02	ga_ls7e_ard_3-0-0_111081_2012-08-17_final
2012-08-17 11:24:26	ga_ls7e_ard_3-1-0_111082_2012-08-17_final
2012-08-17 11:24:50	ga_ls7e_ard_3-0-0_111083_2012-08-17_final
2012-08-17 11:25:14	ga_ls7e_ard_3-0-0_111084_2012-08-17_final
2012-10-20 11:24:40	ga_ls7e_ard_3-0-0_111081_2012-10-20_final
2012-10-20 11:25:04	ga_ls7e_ard_3-1-0_111082_2012-10-20_final
2012-10-20 11:25:28	ga_ls7e_ard_3-0-0_111083_2012-10-20_final
2012-10-20 11:25:52	ga_ls7e_ard_3-0-0_111084_2012-10-20_final
2012-11-12 11:29:22	ga_ls7e_ard_3-0-0_112077_2012-11-12_final
2012-11-12 11:29:46	ga_ls7e_ard_3-0-0_112078_2012-11-12_final
2012-11-12 11:30:10	ga_ls7e_ard_3-0-0_112079_2012-11-12_final
2012-11-12 11:30:34	ga_ls7e_ard_3-0-0_112080_2012-11-12_final
2012-11-12 11:30:58	ga_ls7e_ard_3-0-0_112081_2012-11-12_final
2012-11-12 11:31:22	ga_ls7e_ard_3-0-0_112082_2012-11-12_final
2012-11-14 11:19:50	ga_ls7e_ard_3-0-0_110084_2012-11-14_final
2014-05-12 11:21:11	ga_ls7e_ard_3-0-0_110084_2014-05-12_final
2014-06-29 11:21:23	ga_ls7e_ard_3-0-0_110084_2014-06-29_final
2015-09-02 11:33:18	ga_ls7e_ard_3-0-0_112077_2015-09-02_final
2015-09-02 11:33:42	ga_ls7e_ard_3-0-0_112078_2015-09-02_final
2015-09-02 11:34:06	ga_ls7e_ard_3-0-0_112079_2015-09-02_final
2015-09-02 11:34:30	ga_ls7e_ard_3-0-0_112080_2015-09-02_final
2015-09-02 11:34:54	ga_ls7e_ard_3-0-0_112081_2015-09-02_final
2015-09-02 11:35:17	ga_ls7e_ard_3-0-0_112082_2015-09-02_final
2015-09-25 11:38:25	ga_ls7e_ard_3-0-0_113074_2015-09-25_final
2015-09-25 11:38:49	ga_ls7e_ard_3-0-0_113075_2015-09-25_final
2015-09-25 11:39:13	ga_ls7e_ard_3-0-0_113076_2015-09-25_final
2015-09-25 11:39:37	ga_ls7e_ard_3-0-0_113077_2015-09-25_final
2015-09-25 11:40:00	ga_ls7e_ard_3-0-0_113078_2015-09-25_final
2015-09-27 11:28:51	ga_ls7e_ard_3-0-0_111081_2015-09-27_final
2015-09-27 11:29:15	ga_ls7e_ard_3-1-0_111082_2015-09-27_final
2015-09-27 11:30:03	ga_ls7e_ard_3-0-0_111084_2015-09-27_final
2015-10-20 11:33:45	ga_ls7e_ard_3-0-0_112077_2015-10-20_final
2015-10-20 11:34:09	ga_ls7e_ard_3-0-0_112078_2015-10-20_final
2015-10-20 11:34:33	ga_ls7e_ard_3-0-0_112079_2015-10-20_final
2015-10-20 11:34:57	ga_ls7e_ard_3-0-0_112080_2015-10-20_final
2015-10-20 11:35:21	ga_ls7e_ard_3-0-0_112081_2015-10-20_final
2015-10-20 11:35:45	ga_ls7e_ard_3-0-0_112082_2015-10-20_final
2015-10-22 11:24:13	ga_ls7e_ard_3-0-0_110084_2015-10-22_final
2015-12-16 11:30:04	ga_ls7e_ard_3-0-0_111081_2015-12-16_final
2015-12-16 11:30:28	ga_ls7e_ard_3-1-0_111082_2015-12-16_final
2015-12-16 11:30:52	ga_ls7e_ard_3-0-0_111083_2015-12-16_final
2015-12-16 11:31:16	ga_ls7e_ard_3-0-0_111084_2015-12-16_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
2015-12-30 11:39:49	ga_ls7e_ard_3-0-0_113074_2015-12-30_final
2015-12-30 11:40:13	ga_ls7e_ard_3-0-0_113075_2015-12-30_final
2015-12-30 11:40:37	ga_ls7e_ard_3-0-0_113076_2015-12-30_final
2015-12-30 11:41:00	ga_ls7e_ard_3-0-0_113077_2015-12-30_final
2015-12-30 11:41:24	ga_ls7e_ard_3-0-0_113078_2015-12-30_final
2016-03-14 11:25:59	ga_ls7e_ard_3-0-0_110084_2016-03-14_final
2016-03-28 11:35:37	ga_ls7e_ard_3-0-0_112077_2016-03-28_final
2016-03-28 11:36:01	ga_ls7e_ard_3-0-0_112078_2016-03-28_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2018-01-20 11:40:20	ga_ls7e_ard_3-0-0_113074_2018-01-20_final
2018-01-20 11:40:44	ga_ls7e_ard_3-0-0_113075_2018-01-20_final
2018-01-20 11:41:08	ga_ls7e_ard_3-0-0_113076_2018-01-20_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
2018-02-12 11:43:23	ga_ls7e_ard_3-0-0_114067_2018-02-12_final
2018-02-14 11:34:59	ga_ls7e_ard_3-0-0_112077_2018-02-14_final
2018-02-14 11:35:23	ga_ls7e_ard_3-0-0_112078_2018-02-14_final
2018-02-14 11:35:47	ga_ls7e_ard_3-0-0_112079_2018-02-14_final
2018-02-14 11:36:11	ga_ls7e_ard_3-0-0_112080_2018-02-14_final
2018-02-14 11:36:35	ga_ls7e_ard_3-0-0_112081_2018-02-14_final
2018-02-14 11:36:59	ga_ls7e_ard_3-0-0_112082_2018-02-14_final
2018-07-22 11:40:51	ga_ls7e_ard_3-0-0_114067_2018-07-22_final
2018-07-24 11:32:26	ga_ls7e_ard_3-1-0_112077_2018-07-24_final
2018-07-24 11:32:50	ga_ls7e_ard_3-0-0_112078_2018-07-24_final
2018-07-24 11:33:14	ga_ls7e_ard_3-0-0_112079_2018-07-24_final
2018-07-24 11:33:38	ga_ls7e_ard_3-0-0_112080_2018-07-24_final
2018-07-24 11:34:02	ga_ls7e_ard_3-0-0_112081_2018-07-24_final
2018-07-24 11:34:26	ga_ls7e_ard_3-0-0_112082_2018-07-24_final
2018-07-31 11:37:18	ga_ls7e_ard_3-0-0_113074_2018-07-31_final
2018-07-31 11:37:42	ga_ls7e_ard_3-0-0_113075_2018-07-31_final
2018-07-31 11:38:06	ga_ls7e_ard_3-0-0_113076_2018-07-31_final
2018-07-31 11:38:30	ga_ls7e_ard_3-0-0_113077_2018-07-31_final
2018-07-31 11:38:54	ga_ls7e_ard_3-0-0_113078_2018-07-31_final
2019-09-04 11:24:49	ga_ls7e_ard_3-1-0_113074_2019-09-04_final
2019-09-04 11:25:13	ga_ls7e_ard_3-1-0_113075_2019-09-04_final
2019-09-04 11:25:37	ga_ls7e_ard_3-1-0_113076_2019-09-04_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-04 11:26:24	ga_ls7e_ard_3-1-0_113078_2019-09-04_final
2019-11-16 11:16:39	ga_ls7e_ard_3-1-0_112077_2019-11-16_final
2019-11-16 11:17:03	ga_ls7e_ard_3-1-0_112078_2019-11-16_final
2019-11-16 11:17:27	ga_ls7e_ard_3-1-0_112079_2019-11-16_final
2019-11-16 11:17:51	ga_ls7e_ard_3-1-0_112080_2019-11-16_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

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