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
2003-05-26 11:30:32	ga_ls7e_ard_3-0-0_114067_2003-05-26_final
2003-05-28 11:20:58	ga_ls7e_ard_3-0-0_112074_2003-05-28_final
2003-05-28 11:21:22	ga_ls7e_ard_3-0-0_112075_2003-05-28_final
2003-05-28 11:21:46	ga_ls7e_ard_3-0-0_112076_2003-05-28_final
2003-05-28 11:22:10	ga_ls7e_ard_3-0-0_112077_2003-05-28_final
2003-05-28 11:22:34	ga_ls7e_ard_3-0-0_112078_2003-05-28_final
2003-08-30 11:30:11	ga_ls7e_ard_3-0-0_114067_2003-08-30_final
2003-09-01 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-09-01_final
2003-09-01 11:21:00	ga_ls7e_ard_3-0-0_112075_2003-09-01_final
2003-09-01 11:21:24	ga_ls7e_ard_3-0-0_112076_2003-09-01_final
2003-09-01 11:21:48	ga_ls7e_ard_3-0-0_112077_2003-09-01_final
2003-09-01 11:22:12	ga_ls7e_ard_3-0-0_112078_2003-09-01_final
2003-12-06 11:20:58	ga_ls7e_ard_3-0-0_112074_2003-12-06_final
2003-12-06 11:21:22	ga_ls7e_ard_3-0-0_112075_2003-12-06_final
2003-12-06 11:21:46	ga_ls7e_ard_3-0-0_112076_2003-12-06_final
2003-12-06 11:22:10	ga_ls7e_ard_3-0-0_112077_2003-12-06_final
2003-12-06 11:22:33	ga_ls7e_ard_3-0-0_112078_2003-12-06_final
2003-12-08 11:11:25	ga_ls7e_ard_3-0-0_110081_2003-12-08_final
2003-12-08 11:11:49	ga_ls7e_ard_3-0-0_110082_2003-12-08_final
2003-12-08 11:12:13	ga_ls7e_ard_3-0-0_110083_2003-12-08_final
2003-12-08 11:12:37	ga_ls7e_ard_3-0-0_110084_2003-12-08_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2016-05-08 11:29:40	ga_ls7e_ard_3-0-0_111077_2016-05-08_final
2016-05-08 11:30:04	ga_ls7e_ard_3-0-0_111078_2016-05-08_final
2016-05-08 11:30:28	ga_ls7e_ard_3-0-0_111079_2016-05-08_final
2016-05-08 11:30:52	ga_ls7e_ard_3-0-0_111080_2016-05-08_final
2016-05-08 11:31:16	ga_ls7e_ard_3-0-0_111081_2016-05-08_final
2016-05-08 11:31:40	ga_ls7e_ard_3-1-0_111082_2016-05-08_final
2016-07-18 11:34:50	ga_ls7e_ard_3-0-0_112074_2016-07-18_final
2016-07-18 11:35:14	ga_ls7e_ard_3-0-0_112075_2016-07-18_final
2016-07-18 11:35:38	ga_ls7e_ard_3-0-0_112076_2016-07-18_final
2016-07-20 11:25:41	ga_ls7e_ard_3-0-0_110082_2016-07-20_final
2016-07-20 11:26:05	ga_ls7e_ard_3-0-0_110083_2016-07-20_final
2016-07-20 11:26:29	ga_ls7e_ard_3-0-0_110084_2016-07-20_final
2016-09-13 11:29:59	ga_ls7e_ard_3-0-0_111077_2016-09-13_final
2016-09-13 11:30:23	ga_ls7e_ard_3-0-0_111078_2016-09-13_final
2016-09-13 11:30:47	ga_ls7e_ard_3-0-0_111079_2016-09-13_final
2016-09-13 11:31:11	ga_ls7e_ard_3-0-0_111080_2016-09-13_final
2016-09-13 11:31:35	ga_ls7e_ard_3-0-0_111081_2016-09-13_final
2016-09-13 11:31:59	ga_ls7e_ard_3-1-0_111082_2016-09-13_final
2016-10-20 11:44:34	ga_ls7e_ard_3-0-0_114067_2016-10-20_final
2016-12-18 11:29:42	ga_ls7e_ard_3-0-0_111077_2016-12-18_final
2016-12-18 11:30:06	ga_ls7e_ard_3-0-0_111078_2016-12-18_final
2016-12-18 11:30:30	ga_ls7e_ard_3-0-0_111079_2016-12-18_final
2016-12-18 11:30:54	ga_ls7e_ard_3-0-0_111080_2016-12-18_final
2016-12-18 11:31:18	ga_ls7e_ard_3-0-0_111081_2016-12-18_final
2016-12-18 11:31:42	ga_ls7e_ard_3-1-0_111082_2016-12-18_final
2018-04-28 11:27:48	ga_ls7e_ard_3-0-0_111077_2018-04-28_final
2018-04-28 11:28:12	ga_ls7e_ard_3-0-0_111078_2018-04-28_final
2018-04-28 11:28:36	ga_ls7e_ard_3-0-0_111079_2018-04-28_final
2018-04-28 11:29:00	ga_ls7e_ard_3-0-0_111080_2018-04-28_final
2018-04-28 11:29:24	ga_ls7e_ard_3-0-0_111081_2018-04-28_final
2018-04-28 11:29:48	ga_ls7e_ard_3-1-0_111082_2018-04-28_final
2018-05-14 11:27:31	ga_ls7e_ard_3-0-0_111077_2018-05-14_final
2018-05-14 11:27:55	ga_ls7e_ard_3-0-0_111078_2018-05-14_final
2018-05-14 11:28:19	ga_ls7e_ard_3-0-0_111079_2018-05-14_final
2018-05-14 11:28:43	ga_ls7e_ard_3-0-0_111080_2018-05-14_final
2018-05-14 11:29:07	ga_ls7e_ard_3-0-0_111081_2018-05-14_final
2018-05-14 11:29:31	ga_ls7e_ard_3-1-0_111082_2018-05-14_final
2018-06-24 11:22:14	ga_ls7e_ard_3-0-0_110081_2018-06-24_final
2018-06-24 11:22:38	ga_ls7e_ard_3-0-0_110082_2018-06-24_final
2018-06-24 11:23:02	ga_ls7e_ard_3-0-0_110083_2018-06-24_final
2018-06-24 11:23:26	ga_ls7e_ard_3-0-0_110084_2018-06-24_final
2018-06-29 11:37:53	ga_ls7e_ard_3-0-0_113074_2018-06-29_final
2018-07-01 11:26:41	ga_ls7e_ard_3-0-0_111077_2018-07-01_final
2018-07-01 11:27:05	ga_ls7e_ard_3-0-0_111078_2018-07-01_final
2018-07-01 11:27:29	ga_ls7e_ard_3-0-0_111079_2018-07-01_final
2018-07-01 11:27:53	ga_ls7e_ard_3-0-0_111080_2018-07-01_final
2018-07-01 11:28:17	ga_ls7e_ard_3-0-0_111081_2018-07-01_final
2018-07-01 11:28:41	ga_ls7e_ard_3-1-0_111082_2018-07-01_final
2018-07-01 11:29:04	ga_ls7e_ard_3-0-0_111083_2018-07-01_final
2018-07-10 11:21:54	ga_ls7e_ard_3-0-0_110081_2018-07-10_final
2018-07-10 11:22:18	ga_ls7e_ard_3-0-0_110082_2018-07-10_final
2018-07-10 11:22:42	ga_ls7e_ard_3-0-0_110083_2018-07-10_final
2018-07-10 11:23:06	ga_ls7e_ard_3-0-0_110084_2018-07-10_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-09-10 11:30:42	ga_ls7e_ard_3-0-0_112075_2018-09-10_final
2018-09-10 11:31:06	ga_ls7e_ard_3-0-0_112076_2018-09-10_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
2018-09-12 11:20:41	ga_ls7e_ard_3-0-0_110081_2018-09-12_final
2018-09-12 11:21:05	ga_ls7e_ard_3-0-0_110082_2018-09-12_final
2018-09-12 11:21:29	ga_ls7e_ard_3-0-0_110083_2018-09-12_final
2018-09-12 11:21:53	ga_ls7e_ard_3-0-0_110084_2018-09-12_final
2019-06-23 11:31:09	ga_ls7e_ard_3-0-0_114067_2019-06-23_final
2019-06-25 11:21:31	ga_ls7e_ard_3-0-0_112074_2019-06-25_final
2019-06-25 11:21:55	ga_ls7e_ard_3-0-0_112075_2019-06-25_final
2019-06-25 11:22:19	ga_ls7e_ard_3-0-0_112076_2019-06-25_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-06-25 11:23:06	ga_ls7e_ard_3-0-0_112078_2019-06-25_final
2019-06-27 11:11:52	ga_ls7e_ard_3-0-0_110081_2019-06-27_final
2019-06-27 11:12:16	ga_ls7e_ard_3-0-0_110082_2019-06-27_final
2019-06-27 11:12:40	ga_ls7e_ard_3-0-0_110083_2019-06-27_final
2019-06-27 11:13:04	ga_ls7e_ard_3-0-0_110084_2019-06-27_final
2019-09-22 11:12:51	ga_ls7e_ard_3-1-0_111077_2019-09-22_final
2019-09-22 11:13:15	ga_ls7e_ard_3-1-0_111078_2019-09-22_final
2019-09-22 11:13:39	ga_ls7e_ard_3-1-0_111079_2019-09-22_final
2019-09-22 11:14:03	ga_ls7e_ard_3-1-0_111080_2019-09-22_final
2019-09-22 11:14:27	ga_ls7e_ard_3-1-0_111081_2019-09-22_final
2019-09-22 11:14:51	ga_ls7e_ard_3-1-0_111082_2019-09-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years