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
2010-05-06 11:30:37	ga_ls7e_ard_3-0-0_113074_2010-05-06_final
2010-05-06 11:31:01	ga_ls7e_ard_3-0-0_113075_2010-05-06_final
2010-05-06 11:31:25	ga_ls7e_ard_3-0-0_113076_2010-05-06_final
2010-05-06 11:31:49	ga_ls7e_ard_3-0-0_113077_2010-05-06_final
2010-05-06 11:32:13	ga_ls7e_ard_3-0-0_113078_2010-05-06_final
2010-06-07 11:30:35	ga_ls7e_ard_3-0-0_113074_2010-06-07_final
2010-06-07 11:30:59	ga_ls7e_ard_3-0-0_113075_2010-06-07_final
2010-06-07 11:31:23	ga_ls7e_ard_3-0-0_113076_2010-06-07_final
2010-06-07 11:31:47	ga_ls7e_ard_3-0-0_113077_2010-06-07_final
2010-06-07 11:32:11	ga_ls7e_ard_3-0-0_113078_2010-06-07_final
2010-06-16 11:25:36	ga_ls7e_ard_3-0-0_112077_2010-06-16_final
2010-06-16 11:27:36	ga_ls7e_ard_3-0-0_112082_2010-06-16_final
2010-06-23 11:30:37	ga_ls7e_ard_3-0-0_113074_2010-06-23_final
2010-06-23 11:31:01	ga_ls7e_ard_3-0-0_113075_2010-06-23_final
2010-06-23 11:31:25	ga_ls7e_ard_3-0-0_113076_2010-06-23_final
2010-06-23 11:31:49	ga_ls7e_ard_3-0-0_113077_2010-06-23_final
2010-06-23 11:32:12	ga_ls7e_ard_3-0-0_113078_2010-06-23_final
2010-06-25 11:21:03	ga_ls7e_ard_3-0-0_111081_2010-06-25_final
2010-06-25 11:21:27	ga_ls7e_ard_3-1-0_111082_2010-06-25_final
2010-06-25 11:21:51	ga_ls7e_ard_3-0-0_111083_2010-06-25_final
2010-06-25 11:22:15	ga_ls7e_ard_3-0-0_111084_2010-06-25_final
2010-08-10 11:30:39	ga_ls7e_ard_3-0-0_113074_2010-08-10_final
2010-08-10 11:31:03	ga_ls7e_ard_3-0-0_113075_2010-08-10_final
2010-08-10 11:31:27	ga_ls7e_ard_3-0-0_113076_2010-08-10_final
2010-08-10 11:31:51	ga_ls7e_ard_3-0-0_113077_2010-08-10_final
2010-08-10 11:32:15	ga_ls7e_ard_3-0-0_113078_2010-08-10_final
2010-12-16 11:31:28	ga_ls7e_ard_3-0-0_113074_2010-12-16_final
2011-01-01 11:32:25	ga_ls7e_ard_3-0-0_113076_2011-01-01_final
2011-01-01 11:32:49	ga_ls7e_ard_3-0-0_113077_2011-01-01_final
2011-01-01 11:33:13	ga_ls7e_ard_3-0-0_113078_2011-01-01_final
2011-01-03 11:22:52	ga_ls7e_ard_3-0-0_111083_2011-01-03_final
2011-01-03 11:23:16	ga_ls7e_ard_3-0-0_111084_2011-01-03_final
2011-01-10 11:26:43	ga_ls7e_ard_3-1-0_112077_2011-01-10_final
2011-01-10 11:27:07	ga_ls7e_ard_3-0-0_112078_2011-01-10_final
2011-01-10 11:27:31	ga_ls7e_ard_3-0-0_112079_2011-01-10_final
2011-01-26 11:26:49	ga_ls7e_ard_3-0-0_112077_2011-01-26_final
2011-01-26 11:27:13	ga_ls7e_ard_3-0-0_112078_2011-01-26_final
2011-01-26 11:27:37	ga_ls7e_ard_3-0-0_112079_2011-01-26_final
2011-01-26 11:28:01	ga_ls7e_ard_3-0-0_112080_2011-01-26_final
2011-01-26 11:28:25	ga_ls7e_ard_3-0-0_112081_2011-01-26_final
2011-01-26 11:28:49	ga_ls7e_ard_3-0-0_112082_2011-01-26_final
2017-05-16 11:44:19	ga_ls7e_ard_3-0-0_114067_2017-05-16_final
2017-06-28 11:31:32	ga_ls7e_ard_3-0-0_111081_2017-06-28_final
2017-06-28 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-06-28_final
2017-06-28 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-06-28_final
2017-06-28 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-06-28_final
2017-07-14 11:31:32	ga_ls7e_ard_3-0-0_111081_2017-07-14_final
2017-07-14 11:31:56	ga_ls7e_ard_3-1-0_111082_2017-07-14_final
2017-07-14 11:32:20	ga_ls7e_ard_3-0-0_111083_2017-07-14_final
2017-07-14 11:32:44	ga_ls7e_ard_3-0-0_111084_2017-07-14_final
2017-10-16 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-10-16_final
2017-10-16 11:41:29	ga_ls7e_ard_3-0-0_113075_2017-10-16_final
2017-10-16 11:41:53	ga_ls7e_ard_3-0-0_113076_2017-10-16_final
2017-10-16 11:42:17	ga_ls7e_ard_3-0-0_113077_2017-10-16_final
2017-10-16 11:42:40	ga_ls7e_ard_3-0-0_113078_2017-10-16_final
2017-10-18 11:31:31	ga_ls7e_ard_3-0-0_111081_2017-10-18_final
2017-10-18 11:31:55	ga_ls7e_ard_3-1-0_111082_2017-10-18_final
2017-10-18 11:32:19	ga_ls7e_ard_3-0-0_111083_2017-10-18_final
2017-10-18 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-10-18_final
2018-08-18 11:27:23	ga_ls7e_ard_3-0-0_111081_2018-08-18_final
2018-08-18 11:27:47	ga_ls7e_ard_3-1-0_111082_2018-08-18_final
2018-08-18 11:28:11	ga_ls7e_ard_3-0-0_111083_2018-08-18_final
2018-08-18 11:28:35	ga_ls7e_ard_3-0-0_111084_2018-08-18_final
2018-08-25 11:31:50	ga_ls7e_ard_3-1-0_112077_2018-08-25_final
2018-08-25 11:32:14	ga_ls7e_ard_3-0-0_112078_2018-08-25_final
2018-08-25 11:32:38	ga_ls7e_ard_3-0-0_112079_2018-08-25_final
2018-08-25 11:33:02	ga_ls7e_ard_3-0-0_112080_2018-08-25_final
2018-08-25 11:33:26	ga_ls7e_ard_3-0-0_112081_2018-08-25_final
2018-08-25 11:33:50	ga_ls7e_ard_3-0-0_112082_2018-08-25_final
2018-08-25 11:34:14	ga_ls7e_ard_3-0-0_112083_2018-08-25_final
2018-09-08 11:39:55	ga_ls7e_ard_3-0-0_114067_2018-09-08_final
2018-09-08 11:42:42	ga_ls7e_ard_3-0-0_114074_2018-09-08_final
2019-01-09 11:23:52	ga_ls7e_ard_3-0-0_111081_2019-01-09_final
2019-01-09 11:24:16	ga_ls7e_ard_3-1-0_111082_2019-01-09_final
2019-01-09 11:24:40	ga_ls7e_ard_3-0-0_111083_2019-01-09_final
2019-01-09 11:25:03	ga_ls7e_ard_3-0-0_111084_2019-01-09_final
2019-01-14 11:39:27	ga_ls7e_ard_3-0-0_114074_2019-01-14_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
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-04-04 11:36:54	ga_ls7e_ard_3-0-0_114074_2019-04-04_final
2019-05-22 11:35:05	ga_ls7e_ard_3-0-0_114074_2019-05-22_final
2019-05-24 11:23:52	ga_ls7e_ard_3-0-0_112077_2019-05-24_final
2019-05-24 11:24:16	ga_ls7e_ard_3-0-0_112078_2019-05-24_final
2019-05-24 11:24:39	ga_ls7e_ard_3-0-0_112079_2019-05-24_final
2019-05-24 11:25:03	ga_ls7e_ard_3-0-0_112080_2019-05-24_final
2019-05-24 11:25:27	ga_ls7e_ard_3-0-0_112081_2019-05-24_final
2019-05-24 11:25:51	ga_ls7e_ard_3-0-0_112082_2019-05-24_final
2019-05-24 11:26:15	ga_ls7e_ard_3-0-0_112083_2019-05-24_final
2019-06-07 11:31:44	ga_ls7e_ard_3-0-0_114067_2019-06-07_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