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
2000-04-16 09:06:48	ga_ls7e_ard_3-0-0_089085_2000-04-15_final
2000-04-16 09:07:12	ga_ls7e_ard_3-0-0_089086_2000-04-15_final
2000-08-06 09:04:01	ga_ls7e_ard_3-1-0_089081_2000-08-05_final
2000-08-06 09:04:25	ga_ls7e_ard_3-0-0_089082_2000-08-05_final
2000-08-06 09:04:49	ga_ls7e_ard_3-0-0_089083_2000-08-05_final
2000-08-06 09:05:13	ga_ls7e_ard_3-0-0_089084_2000-08-05_final
2000-08-06 09:05:37	ga_ls7e_ard_3-0-0_089085_2000-08-05_final
2000-08-06 09:06:01	ga_ls7e_ard_3-0-0_089086_2000-08-05_final
2000-08-29 09:08:25	ga_ls7e_ard_3-0-0_090077_2000-08-28_final
2000-08-29 09:08:49	ga_ls7e_ard_3-0-0_090078_2000-08-28_final
2000-08-29 09:09:13	ga_ls7e_ard_3-0-0_090079_2000-08-28_final
2000-08-29 09:09:37	ga_ls7e_ard_3-0-0_090080_2000-08-28_final
2000-08-29 09:10:01	ga_ls7e_ard_3-0-0_090081_2000-08-28_final
2000-08-29 09:10:25	ga_ls7e_ard_3-0-0_090082_2000-08-28_final
2000-09-14 09:08:07	ga_ls7e_ard_3-0-0_090077_2000-09-13_final
2000-09-14 09:08:31	ga_ls7e_ard_3-0-0_090078_2000-09-13_final
2000-09-14 09:08:55	ga_ls7e_ard_3-0-0_090079_2000-09-13_final
2000-09-14 09:09:19	ga_ls7e_ard_3-0-0_090080_2000-09-13_final
2000-09-14 09:09:43	ga_ls7e_ard_3-0-0_090081_2000-09-13_final
2000-09-14 09:10:07	ga_ls7e_ard_3-0-0_090082_2000-09-13_final
2000-09-21 09:13:44	ga_ls7e_ard_3-0-0_091076_2000-09-20_final
2000-09-21 09:14:08	ga_ls7e_ard_3-0-0_091077_2000-09-20_final
2000-09-21 09:14:32	ga_ls7e_ard_3-0-0_091078_2000-09-20_final
2000-09-23 09:03:22	ga_ls7e_ard_3-1-0_089081_2000-09-22_final
2000-09-23 09:03:46	ga_ls7e_ard_3-0-0_089082_2000-09-22_final
2000-09-23 09:04:10	ga_ls7e_ard_3-0-0_089083_2000-09-22_final
2000-09-23 09:04:34	ga_ls7e_ard_3-0-0_089084_2000-09-22_final
2000-09-23 09:04:58	ga_ls7e_ard_3-0-0_089085_2000-09-22_final
2000-09-23 09:05:22	ga_ls7e_ard_3-0-0_089086_2000-09-22_final
2008-06-23 09:12:56	ga_ls7e_ard_3-0-0_091076_2008-06-22_final
2008-06-23 09:13:20	ga_ls7e_ard_3-0-0_091077_2008-06-22_final
2008-06-23 09:13:44	ga_ls7e_ard_3-0-0_091078_2008-06-22_final
2008-06-25 09:02:09	ga_ls7e_ard_3-0-0_089080_2008-06-24_final
2008-06-25 09:02:33	ga_ls7e_ard_3-1-0_089081_2008-06-24_final
2008-06-25 09:02:57	ga_ls7e_ard_3-0-0_089082_2008-06-24_final
2008-06-25 09:03:21	ga_ls7e_ard_3-0-0_089083_2008-06-24_final
2008-06-25 09:03:45	ga_ls7e_ard_3-0-0_089084_2008-06-24_final
2008-06-25 09:04:09	ga_ls7e_ard_3-0-0_089085_2008-06-24_final
2008-06-25 09:04:33	ga_ls7e_ard_3-0-0_089086_2008-06-24_final
2017-03-05 09:19:36	ga_ls7e_ard_3-0-0_090077_2017-03-04_final
2017-03-05 09:20:00	ga_ls7e_ard_3-0-0_090078_2017-03-04_final
2017-03-05 09:20:24	ga_ls7e_ard_3-0-0_090079_2017-03-04_final
2017-03-05 09:20:48	ga_ls7e_ard_3-0-0_090080_2017-03-04_final
2017-03-28 09:26:18	ga_ls7e_ard_3-0-0_091078_2017-03-27_final
2017-04-29 09:25:43	ga_ls7e_ard_3-0-0_091076_2017-04-28_final
2017-04-29 09:26:06	ga_ls7e_ard_3-0-0_091077_2017-04-28_final
2017-04-29 09:26:30	ga_ls7e_ard_3-0-0_091078_2017-04-28_final
2017-05-01 09:14:57	ga_ls7e_ard_3-0-0_089080_2017-04-30_final
2017-05-01 09:15:21	ga_ls7e_ard_3-1-0_089081_2017-04-30_final
2017-05-01 09:15:45	ga_ls7e_ard_3-0-0_089082_2017-04-30_final
2017-05-01 09:16:09	ga_ls7e_ard_3-0-0_089083_2017-04-30_final
2017-05-01 09:16:33	ga_ls7e_ard_3-0-0_089084_2017-04-30_final
2017-05-01 09:16:57	ga_ls7e_ard_3-0-0_089085_2017-04-30_final
2017-05-01 09:17:21	ga_ls7e_ard_3-0-0_089086_2017-04-30_final
2017-05-08 09:19:58	ga_ls7e_ard_3-0-0_090077_2017-05-07_final
2017-05-08 09:20:22	ga_ls7e_ard_3-0-0_090078_2017-05-07_final
2017-05-08 09:20:46	ga_ls7e_ard_3-0-0_090079_2017-05-07_final
2017-05-08 09:21:10	ga_ls7e_ard_3-0-0_090080_2017-05-07_final
2017-05-08 09:21:34	ga_ls7e_ard_3-0-0_090081_2017-05-07_final
2017-05-08 09:21:58	ga_ls7e_ard_3-0-0_090082_2017-05-07_final
2017-06-09 09:20:05	ga_ls7e_ard_3-0-0_090077_2017-06-08_final
2017-06-09 09:20:29	ga_ls7e_ard_3-0-0_090078_2017-06-08_final
2017-06-09 09:20:53	ga_ls7e_ard_3-0-0_090079_2017-06-08_final
2017-06-09 09:21:17	ga_ls7e_ard_3-0-0_090080_2017-06-08_final
2017-06-09 09:21:41	ga_ls7e_ard_3-0-0_090081_2017-06-08_final
2017-06-09 09:22:05	ga_ls7e_ard_3-0-0_090082_2017-06-08_final
2017-08-28 09:20:07	ga_ls7e_ard_3-0-0_090077_2017-08-27_final
2017-08-28 09:20:31	ga_ls7e_ard_3-0-0_090078_2017-08-27_final
2017-08-28 09:20:54	ga_ls7e_ard_3-0-0_090079_2017-08-27_final
2017-08-28 09:21:18	ga_ls7e_ard_3-0-0_090080_2017-08-27_final
2017-08-28 09:21:42	ga_ls7e_ard_3-0-0_090081_2017-08-27_final
2017-08-28 09:22:06	ga_ls7e_ard_3-0-0_090082_2017-08-27_final
2017-09-29 09:20:05	ga_ls7e_ard_3-0-0_090077_2017-09-28_final
2017-09-29 09:20:29	ga_ls7e_ard_3-0-0_090078_2017-09-28_final
2017-09-29 09:20:53	ga_ls7e_ard_3-0-0_090079_2017-09-28_final
2017-09-29 09:21:17	ga_ls7e_ard_3-0-0_090080_2017-09-28_final
2017-09-29 09:21:41	ga_ls7e_ard_3-0-0_090081_2017-09-28_final
2017-09-29 09:22:05	ga_ls7e_ard_3-0-0_090082_2017-09-28_final
2017-10-24 09:15:09	ga_ls7e_ard_3-0-0_089080_2017-10-23_final
2017-10-24 09:15:33	ga_ls7e_ard_3-1-0_089081_2017-10-23_final
2017-10-24 09:15:57	ga_ls7e_ard_3-0-0_089082_2017-10-23_final
2017-10-24 09:16:21	ga_ls7e_ard_3-0-0_089083_2017-10-23_final
2017-10-24 09:16:45	ga_ls7e_ard_3-0-0_089084_2017-10-23_final
2017-10-24 09:17:09	ga_ls7e_ard_3-0-0_089085_2017-10-23_final
2017-10-24 09:17:33	ga_ls7e_ard_3-0-0_089086_2017-10-23_final
2017-10-31 09:20:08	ga_ls7e_ard_3-0-0_090077_2017-10-30_final
2017-10-31 09:20:32	ga_ls7e_ard_3-0-0_090078_2017-10-30_final
2017-10-31 09:20:56	ga_ls7e_ard_3-0-0_090079_2017-10-30_final
2017-10-31 09:21:20	ga_ls7e_ard_3-0-0_090080_2017-10-30_final
2017-10-31 09:21:44	ga_ls7e_ard_3-0-0_090081_2017-10-30_final
2017-10-31 09:22:08	ga_ls7e_ard_3-0-0_090082_2017-10-30_final
2017-11-09 09:15:08	ga_ls7e_ard_3-0-0_089080_2017-11-08_final
2017-11-09 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-11-08_final
2017-11-09 09:15:56	ga_ls7e_ard_3-0-0_089082_2017-11-08_final
2017-11-09 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-11-08_final
2017-11-09 09:16:44	ga_ls7e_ard_3-0-0_089084_2017-11-08_final
2017-11-09 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-11-08_final
2017-11-09 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-11-08_final
2017-11-16 09:20:05	ga_ls7e_ard_3-0-0_090077_2017-11-15_final
2017-11-16 09:20:29	ga_ls7e_ard_3-0-0_090078_2017-11-15_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