Search ga_ls7e_ard_3 across October 2015

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
2015-10-09 10:15:11	ga_ls7e_ard_3-0-0_099082_2015-10-09_final
2015-10-09 10:15:35	ga_ls7e_ard_3-0-0_099083_2015-10-09_final
2015-10-09 10:15:59	ga_ls7e_ard_3-0-0_099084_2015-10-09_final
2015-10-09 11:50:53	ga_ls7e_ard_3-0-0_115074_2015-10-09_final
2015-10-09 11:51:17	ga_ls7e_ard_3-0-0_115075_2015-10-09_final
2015-10-09 11:51:41	ga_ls7e_ard_3-0-0_115076_2015-10-09_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2015-10-09 11:52:29	ga_ls7e_ard_3-0-0_115078_2015-10-09_final
2015-10-10 09:17:35	ga_ls7e_ard_3-0-0_090077_2015-10-09_final
2015-10-10 09:17:59	ga_ls7e_ard_3-0-0_090078_2015-10-09_final
2015-10-10 09:18:23	ga_ls7e_ard_3-0-0_090079_2015-10-09_final
2015-10-10 09:18:47	ga_ls7e_ard_3-0-0_090080_2015-10-09_final
2015-10-10 09:19:11	ga_ls7e_ard_3-0-0_090081_2015-10-09_final
2015-10-10 09:19:35	ga_ls7e_ard_3-0-0_090082_2015-10-09_final
2015-10-10 09:19:59	ga_ls7e_ard_3-0-0_090083_2015-10-09_final
2015-10-10 09:20:23	ga_ls7e_ard_3-0-0_090084_2015-10-09_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2015-10-10 09:21:11	ga_ls7e_ard_3-0-0_090086_2015-10-09_final
2015-10-10 09:21:59	ga_ls7e_ard_3-0-0_090088_2015-10-09_final
2015-10-10 09:22:23	ga_ls7e_ard_3-0-0_090089_2015-10-09_final
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_final
2015-10-10 10:52:53	ga_ls7e_ard_3-0-0_106068_2015-10-10_final
2015-10-10 10:53:17	ga_ls7e_ard_3-0-0_106069_2015-10-10_final
2015-10-10 10:53:41	ga_ls7e_ard_3-0-0_106070_2015-10-10_final
2015-10-10 10:54:05	ga_ls7e_ard_3-0-0_106071_2015-10-10_final
2015-10-10 10:54:29	ga_ls7e_ard_3-0-0_106072_2015-10-10_final
2015-10-10 10:54:53	ga_ls7e_ard_3-0-0_106073_2015-10-10_final
2015-10-10 10:55:17	ga_ls7e_ard_3-0-0_106074_2015-10-10_final
2015-10-10 10:55:41	ga_ls7e_ard_3-1-0_106075_2015-10-10_final
2015-10-10 10:56:05	ga_ls7e_ard_3-0-0_106076_2015-10-10_final
2015-10-10 10:56:29	ga_ls7e_ard_3-0-0_106077_2015-10-10_final
2015-10-10 10:56:52	ga_ls7e_ard_3-0-0_106078_2015-10-10_final
2015-10-10 10:57:16	ga_ls7e_ard_3-0-0_106079_2015-10-10_final
2015-10-10 10:57:40	ga_ls7e_ard_3-0-0_106080_2015-10-10_final
2015-10-10 10:58:04	ga_ls7e_ard_3-0-0_106081_2015-10-10_final
2015-10-10 10:58:28	ga_ls7e_ard_3-0-0_106082_2015-10-10_final
2015-10-10 10:58:52	ga_ls7e_ard_3-0-0_106083_2015-10-10_final
2015-10-11 09:57:41	ga_ls7e_ard_3-0-0_097069_2015-10-11_final
2015-10-11 09:58:05	ga_ls7e_ard_3-0-0_097070_2015-10-11_final
2015-10-11 09:58:29	ga_ls7e_ard_3-0-0_097071_2015-10-11_final
2015-10-11 09:58:53	ga_ls7e_ard_3-0-0_097072_2015-10-11_final
2015-10-11 09:59:17	ga_ls7e_ard_3-0-0_097073_2015-10-11_final
2015-10-11 09:59:41	ga_ls7e_ard_3-0-0_097074_2015-10-11_final
2015-10-11 10:00:05	ga_ls7e_ard_3-0-0_097075_2015-10-11_final
2015-10-11 10:00:29	ga_ls7e_ard_3-1-0_097076_2015-10-11_final
2015-10-11 10:00:52	ga_ls7e_ard_3-0-0_097077_2015-10-11_final
2015-10-11 10:01:16	ga_ls7e_ard_3-0-0_097078_2015-10-11_final
2015-10-11 10:01:40	ga_ls7e_ard_3-0-0_097079_2015-10-11_final
2015-10-11 10:02:04	ga_ls7e_ard_3-0-0_097080_2015-10-11_final
2015-10-11 10:02:28	ga_ls7e_ard_3-0-0_097081_2015-10-11_final
2015-10-11 10:02:52	ga_ls7e_ard_3-0-0_097082_2015-10-11_final
2015-10-11 10:03:16	ga_ls7e_ard_3-0-0_097083_2015-10-11_final
2015-10-11 10:03:40	ga_ls7e_ard_3-0-0_097084_2015-10-11_final
2015-10-11 11:35:46	ga_ls7e_ard_3-0-0_113067_2015-10-11_final
2015-10-11 11:38:34	ga_ls7e_ard_3-0-0_113074_2015-10-11_final
2015-10-11 11:38:58	ga_ls7e_ard_3-0-0_113075_2015-10-11_final
2015-10-11 11:39:22	ga_ls7e_ard_3-0-0_113076_2015-10-11_final
2015-10-11 11:39:46	ga_ls7e_ard_3-0-0_113077_2015-10-11_final
2015-10-11 11:40:10	ga_ls7e_ard_3-0-0_113078_2015-10-11_final
2015-10-11 11:40:33	ga_ls7e_ard_3-0-0_113079_2015-10-11_final
2015-10-11 11:40:57	ga_ls7e_ard_3-0-0_113080_2015-10-11_final
2015-10-11 11:41:21	ga_ls7e_ard_3-0-0_113081_2015-10-11_final
2015-10-11 11:41:45	ga_ls7e_ard_3-0-0_113082_2015-10-11_final
2015-10-11 11:42:09	ga_ls7e_ard_3-0-0_113083_2015-10-11_final
2015-10-11 11:42:33	ga_ls7e_ard_3-0-0_113084_2015-10-11_final
2015-10-27 09:58:21	ga_ls7e_ard_3-0-0_097070_2015-10-27_final
2015-10-27 09:58:45	ga_ls7e_ard_3-0-0_097071_2015-10-27_final
2015-10-27 09:59:09	ga_ls7e_ard_3-0-0_097072_2015-10-27_final
2015-10-27 09:59:33	ga_ls7e_ard_3-0-0_097073_2015-10-27_final
2015-10-27 09:59:57	ga_ls7e_ard_3-0-0_097074_2015-10-27_final
2015-10-27 10:00:21	ga_ls7e_ard_3-0-0_097075_2015-10-27_final
2015-10-27 10:00:45	ga_ls7e_ard_3-1-0_097076_2015-10-27_final
2015-10-27 10:01:09	ga_ls7e_ard_3-0-0_097077_2015-10-27_final
2015-10-27 10:01:33	ga_ls7e_ard_3-0-0_097078_2015-10-27_final
2015-10-27 10:01:57	ga_ls7e_ard_3-0-0_097079_2015-10-27_final
2015-10-27 10:02:21	ga_ls7e_ard_3-0-0_097080_2015-10-27_final
2015-10-27 10:02:45	ga_ls7e_ard_3-0-0_097081_2015-10-27_final
2015-10-27 10:03:09	ga_ls7e_ard_3-0-0_097082_2015-10-27_final
2015-10-27 10:03:33	ga_ls7e_ard_3-0-0_097083_2015-10-27_final
2015-10-27 10:03:57	ga_ls7e_ard_3-0-0_097084_2015-10-27_final
2015-10-27 10:04:21	ga_ls7e_ard_3-0-0_097085_2015-10-27_final
2015-10-27 11:36:03	ga_ls7e_ard_3-0-0_113067_2015-10-27_final
2015-10-27 11:38:50	ga_ls7e_ard_3-0-0_113074_2015-10-27_final
2015-10-27 11:39:14	ga_ls7e_ard_3-0-0_113075_2015-10-27_final
2015-10-27 11:39:38	ga_ls7e_ard_3-0-0_113076_2015-10-27_final
2015-10-27 11:40:02	ga_ls7e_ard_3-0-0_113077_2015-10-27_final
2015-10-27 11:40:26	ga_ls7e_ard_3-0-0_113078_2015-10-27_final
2015-10-27 11:40:50	ga_ls7e_ard_3-0-0_113079_2015-10-27_final
2015-10-27 11:41:14	ga_ls7e_ard_3-0-0_113080_2015-10-27_final
2015-10-27 11:41:38	ga_ls7e_ard_3-0-0_113081_2015-10-27_final
2015-10-27 11:42:02	ga_ls7e_ard_3-0-0_113082_2015-10-27_final
2015-10-27 11:42:26	ga_ls7e_ard_3-0-0_113083_2015-10-27_final
2015-10-27 11:42:50	ga_ls7e_ard_3-0-0_113084_2015-10-27_final
2015-10-28 10:41:14	ga_ls7e_ard_3-0-0_104069_2015-10-28_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2015-10-28 10:43:38	ga_ls7e_ard_3-0-0_104075_2015-10-28_final
2015-10-28 10:44:26	ga_ls7e_ard_3-0-0_104077_2015-10-28_final
2015-10-28 10:44:49	ga_ls7e_ard_3-0-0_104078_2015-10-28_final
2015-10-28 10:45:13	ga_ls7e_ard_3-0-0_104079_2015-10-28_final
2015-10-28 10:45:37	ga_ls7e_ard_3-0-0_104080_2015-10-28_final

Return to ga_ls7e_ard_3 across October 2015 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2015

October

All days