Search ga_ls7e_ard_3 across November 2014

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
2014-11-09 09:55:49	ga_ls7e_ard_3-0-0_097069_2014-11-09_final
2014-11-09 09:56:13	ga_ls7e_ard_3-0-0_097070_2014-11-09_final
2014-11-09 09:56:37	ga_ls7e_ard_3-0-0_097071_2014-11-09_final
2014-11-09 09:57:01	ga_ls7e_ard_3-0-0_097072_2014-11-09_final
2014-11-09 09:57:24	ga_ls7e_ard_3-0-0_097073_2014-11-09_final
2014-11-09 09:57:48	ga_ls7e_ard_3-0-0_097074_2014-11-09_final
2014-11-09 09:58:12	ga_ls7e_ard_3-0-0_097075_2014-11-09_final
2014-11-10 09:04:35	ga_ls7e_ard_3-0-0_088080_2014-11-09_final
2014-11-10 09:04:59	ga_ls7e_ard_3-0-0_088081_2014-11-09_final
2014-11-10 09:05:23	ga_ls7e_ard_3-0-0_088082_2014-11-09_final
2014-11-11 09:42:40	ga_ls7e_ard_3-0-0_095067_2014-11-11_final
2014-11-23 10:07:25	ga_ls7e_ard_3-0-0_099067_2014-11-23_final
2014-11-23 10:07:49	ga_ls7e_ard_3-0-0_099068_2014-11-23_final
2014-11-23 10:08:12	ga_ls7e_ard_3-0-0_099069_2014-11-23_final
2014-11-23 10:08:36	ga_ls7e_ard_3-0-0_099070_2014-11-23_final
2014-11-23 10:09:00	ga_ls7e_ard_3-0-0_099071_2014-11-23_final
2014-11-23 10:09:24	ga_ls7e_ard_3-0-0_099072_2014-11-23_final
2014-11-23 10:09:48	ga_ls7e_ard_3-0-0_099073_2014-11-23_final
2014-11-23 10:10:12	ga_ls7e_ard_3-0-0_099074_2014-11-23_final
2014-11-23 10:10:36	ga_ls7e_ard_3-0-0_099075_2014-11-23_final
2014-11-23 10:11:00	ga_ls7e_ard_3-0-0_099076_2014-11-23_final
2014-11-23 10:11:24	ga_ls7e_ard_3-0-0_099077_2014-11-23_final
2014-11-23 10:11:48	ga_ls7e_ard_3-0-0_099078_2014-11-23_final
2014-11-23 10:12:12	ga_ls7e_ard_3-0-0_099079_2014-11-23_final
2014-11-23 10:12:36	ga_ls7e_ard_3-0-0_099080_2014-11-23_final
2014-11-23 10:13:00	ga_ls7e_ard_3-0-0_099081_2014-11-23_final
2014-11-23 10:13:48	ga_ls7e_ard_3-0-0_099083_2014-11-23_final
2014-11-23 10:14:12	ga_ls7e_ard_3-0-0_099084_2014-11-23_final
2014-11-23 11:49:05	ga_ls7e_ard_3-0-0_115074_2014-11-23_final
2014-11-23 11:49:29	ga_ls7e_ard_3-0-0_115075_2014-11-23_final
2014-11-23 11:49:53	ga_ls7e_ard_3-0-0_115076_2014-11-23_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2014-11-23 11:50:41	ga_ls7e_ard_3-0-0_115078_2014-11-23_final
2014-11-23 11:51:05	ga_ls7e_ard_3-0-0_115079_2014-11-23_final
2014-11-24 09:15:47	ga_ls7e_ard_3-0-0_090077_2014-11-23_final
2014-11-24 09:16:11	ga_ls7e_ard_3-0-0_090078_2014-11-23_final
2014-11-24 09:16:35	ga_ls7e_ard_3-0-0_090079_2014-11-23_final
2014-11-24 09:16:59	ga_ls7e_ard_3-0-0_090080_2014-11-23_final
2014-11-24 09:17:23	ga_ls7e_ard_3-0-0_090081_2014-11-23_final
2014-11-24 09:17:47	ga_ls7e_ard_3-0-0_090082_2014-11-23_final
2014-11-24 09:18:11	ga_ls7e_ard_3-0-0_090083_2014-11-23_final
2014-11-24 09:18:35	ga_ls7e_ard_3-0-0_090084_2014-11-23_final
2014-11-24 09:18:59	ga_ls7e_ard_3-1-0_090085_2014-11-23_final
2014-11-24 09:19:23	ga_ls7e_ard_3-0-0_090086_2014-11-23_final
2014-11-24 10:51:05	ga_ls7e_ard_3-0-0_106068_2014-11-24_final
2014-11-24 10:51:29	ga_ls7e_ard_3-0-0_106069_2014-11-24_final
2014-11-24 10:51:53	ga_ls7e_ard_3-0-0_106070_2014-11-24_final
2014-11-24 10:52:16	ga_ls7e_ard_3-0-0_106071_2014-11-24_final
2014-11-24 10:52:40	ga_ls7e_ard_3-0-0_106072_2014-11-24_final
2014-11-24 10:53:28	ga_ls7e_ard_3-0-0_106074_2014-11-24_final
2014-11-24 10:53:52	ga_ls7e_ard_3-1-0_106075_2014-11-24_final
2014-11-24 10:54:16	ga_ls7e_ard_3-0-0_106076_2014-11-24_final
2014-11-24 10:54:40	ga_ls7e_ard_3-0-0_106077_2014-11-24_final
2014-11-24 10:55:04	ga_ls7e_ard_3-0-0_106078_2014-11-24_final
2014-11-24 10:55:28	ga_ls7e_ard_3-0-0_106079_2014-11-24_final
2014-11-24 10:55:52	ga_ls7e_ard_3-0-0_106080_2014-11-24_final
2014-11-24 10:56:16	ga_ls7e_ard_3-0-0_106081_2014-11-24_final
2014-11-24 10:56:40	ga_ls7e_ard_3-0-0_106082_2014-11-24_final
2014-11-24 10:57:04	ga_ls7e_ard_3-0-0_106083_2014-11-24_final
2014-11-25 09:56:16	ga_ls7e_ard_3-0-0_097070_2014-11-25_final
2014-11-25 09:56:40	ga_ls7e_ard_3-0-0_097071_2014-11-25_final
2014-11-25 09:57:03	ga_ls7e_ard_3-0-0_097072_2014-11-25_final
2014-11-25 09:57:27	ga_ls7e_ard_3-0-0_097073_2014-11-25_final
2014-11-25 09:57:51	ga_ls7e_ard_3-0-0_097074_2014-11-25_final
2014-11-25 09:58:15	ga_ls7e_ard_3-0-0_097075_2014-11-25_final
2014-11-25 09:58:39	ga_ls7e_ard_3-1-0_097076_2014-11-25_final
2014-11-25 09:59:03	ga_ls7e_ard_3-0-0_097077_2014-11-25_final
2014-11-25 09:59:27	ga_ls7e_ard_3-0-0_097078_2014-11-25_final
2014-11-25 09:59:51	ga_ls7e_ard_3-0-0_097079_2014-11-25_final
2014-11-25 10:00:15	ga_ls7e_ard_3-0-0_097080_2014-11-25_final
2014-11-25 10:00:39	ga_ls7e_ard_3-0-0_097081_2014-11-25_final
2014-11-25 10:01:03	ga_ls7e_ard_3-0-0_097082_2014-11-25_final
2014-11-25 10:01:27	ga_ls7e_ard_3-0-0_097083_2014-11-25_final
2014-11-25 10:01:51	ga_ls7e_ard_3-0-0_097084_2014-11-25_final
2014-11-25 10:02:15	ga_ls7e_ard_3-0-0_097085_2014-11-25_final
2014-11-25 11:33:57	ga_ls7e_ard_3-0-0_113067_2014-11-25_final
2014-11-25 11:36:44	ga_ls7e_ard_3-0-0_113074_2014-11-25_final
2014-11-25 11:37:08	ga_ls7e_ard_3-0-0_113075_2014-11-25_final
2014-11-25 11:37:32	ga_ls7e_ard_3-0-0_113076_2014-11-25_final
2014-11-25 11:37:56	ga_ls7e_ard_3-0-0_113077_2014-11-25_final
2014-11-25 11:38:20	ga_ls7e_ard_3-0-0_113078_2014-11-25_final
2014-11-25 11:38:44	ga_ls7e_ard_3-0-0_113079_2014-11-25_final
2014-11-25 11:39:08	ga_ls7e_ard_3-0-0_113080_2014-11-25_final
2014-11-25 11:39:32	ga_ls7e_ard_3-0-0_113081_2014-11-25_final
2014-11-25 11:39:56	ga_ls7e_ard_3-0-0_113082_2014-11-25_final
2014-11-25 11:40:20	ga_ls7e_ard_3-0-0_113083_2014-11-25_final
2014-11-25 11:40:44	ga_ls7e_ard_3-0-0_113084_2014-11-25_final
2014-11-26 10:38:44	ga_ls7e_ard_3-0-0_104068_2014-11-26_final
2014-11-26 10:39:08	ga_ls7e_ard_3-0-0_104069_2014-11-26_final
2014-11-26 10:39:32	ga_ls7e_ard_3-1-0_104070_2014-11-26_final
2014-11-26 10:39:56	ga_ls7e_ard_3-0-0_104071_2014-11-26_final
2014-11-26 10:41:07	ga_ls7e_ard_3-0-0_104074_2014-11-26_final
2014-11-26 10:41:31	ga_ls7e_ard_3-0-0_104075_2014-11-26_final
2014-11-26 10:41:55	ga_ls7e_ard_3-0-0_104076_2014-11-26_final
2014-11-26 10:42:19	ga_ls7e_ard_3-0-0_104077_2014-11-26_final
2014-11-26 10:42:43	ga_ls7e_ard_3-0-0_104078_2014-11-26_final
2014-11-26 10:43:07	ga_ls7e_ard_3-0-0_104079_2014-11-26_final
2014-11-26 10:43:31	ga_ls7e_ard_3-0-0_104080_2014-11-26_final
2014-11-26 10:43:55	ga_ls7e_ard_3-0-0_104081_2014-11-26_final
2014-11-26 10:44:19	ga_ls7e_ard_3-0-0_104082_2014-11-26_final

Return to ga_ls7e_ard_3 across November 2014 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

2014

November

All days