Search ga_ls7e_ard_3 across May 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
2014-05-08 10:00:35	ga_ls7e_ard_3-0-0_098068_2014-05-08_final
2014-05-08 10:00:59	ga_ls7e_ard_3-0-0_098069_2014-05-08_final
2014-05-08 10:01:23	ga_ls7e_ard_3-0-0_098070_2014-05-08_final
2014-05-08 10:01:47	ga_ls7e_ard_3-0-0_098071_2014-05-08_final
2014-05-08 10:02:11	ga_ls7e_ard_3-0-0_098072_2014-05-08_final
2014-05-08 10:02:35	ga_ls7e_ard_3-0-0_098073_2014-05-08_final
2014-05-08 10:02:59	ga_ls7e_ard_3-0-0_098074_2014-05-08_final
2014-05-08 10:03:23	ga_ls7e_ard_3-0-0_098075_2014-05-08_final
2014-05-08 10:03:47	ga_ls7e_ard_3-0-0_098076_2014-05-08_final
2014-05-08 10:04:10	ga_ls7e_ard_3-0-0_098077_2014-05-08_final
2014-05-08 10:04:34	ga_ls7e_ard_3-0-0_098078_2014-05-08_final
2014-05-08 10:04:58	ga_ls7e_ard_3-0-0_098079_2014-05-08_final
2014-05-08 10:05:22	ga_ls7e_ard_3-0-0_098080_2014-05-08_final
2014-05-08 10:05:46	ga_ls7e_ard_3-0-0_098081_2014-05-08_final
2014-05-08 10:06:10	ga_ls7e_ard_3-0-0_098082_2014-05-08_final
2014-05-08 10:06:34	ga_ls7e_ard_3-0-0_098083_2014-05-08_final
2014-05-08 10:06:58	ga_ls7e_ard_3-0-0_098084_2014-05-08_final
2014-05-08 10:07:22	ga_ls7e_ard_3-0-0_098085_2014-05-08_final
2014-05-08 11:39:04	ga_ls7e_ard_3-0-0_114067_2014-05-08_final
2014-05-08 11:41:52	ga_ls7e_ard_3-0-0_114074_2014-05-08_final
2014-05-08 11:43:04	ga_ls7e_ard_3-0-0_114077_2014-05-08_final
2014-05-08 11:43:28	ga_ls7e_ard_3-0-0_114078_2014-05-08_final
2014-05-08 11:43:51	ga_ls7e_ard_3-0-0_114079_2014-05-08_final
2014-05-08 11:44:15	ga_ls7e_ard_3-0-0_114080_2014-05-08_final
2014-05-09 09:08:58	ga_ls7e_ard_3-0-0_089078_2014-05-08_final
2014-05-09 09:09:22	ga_ls7e_ard_3-0-0_089079_2014-05-08_final
2014-05-09 09:09:46	ga_ls7e_ard_3-0-0_089080_2014-05-08_final
2014-05-09 09:10:10	ga_ls7e_ard_3-1-0_089081_2014-05-08_final
2014-05-09 09:10:34	ga_ls7e_ard_3-0-0_089082_2014-05-08_final
2014-05-09 09:10:58	ga_ls7e_ard_3-0-0_089083_2014-05-08_final
2014-05-09 09:11:22	ga_ls7e_ard_3-0-0_089084_2014-05-08_final
2014-05-09 09:11:46	ga_ls7e_ard_3-0-0_089085_2014-05-08_final
2014-05-09 09:12:10	ga_ls7e_ard_3-0-0_089086_2014-05-08_final
2014-05-09 09:13:21	ga_ls7e_ard_3-0-0_089089_2014-05-08_final
2014-05-09 09:13:45	ga_ls7e_ard_3-0-0_089090_2014-05-08_final
2014-05-09 10:43:52	ga_ls7e_ard_3-0-0_105068_2014-05-09_final
2014-05-09 10:44:16	ga_ls7e_ard_3-0-0_105069_2014-05-09_final
2014-05-09 10:44:39	ga_ls7e_ard_3-0-0_105070_2014-05-09_final
2014-05-09 10:45:03	ga_ls7e_ard_3-0-0_105071_2014-05-09_final
2014-05-09 10:45:27	ga_ls7e_ard_3-0-0_105072_2014-05-09_final
2014-05-09 10:45:51	ga_ls7e_ard_3-0-0_105073_2014-05-09_final
2014-05-09 10:46:15	ga_ls7e_ard_3-0-0_105074_2014-05-09_final
2014-05-09 10:46:39	ga_ls7e_ard_3-0-0_105075_2014-05-09_final
2014-05-09 10:47:27	ga_ls7e_ard_3-0-0_105077_2014-05-09_final
2014-05-09 10:48:15	ga_ls7e_ard_3-0-0_105079_2014-05-09_final
2014-05-09 10:48:39	ga_ls7e_ard_3-1-0_105080_2014-05-09_final
2014-05-09 10:49:03	ga_ls7e_ard_3-0-0_105081_2014-05-09_final
2014-05-09 10:49:27	ga_ls7e_ard_3-0-0_105082_2014-05-09_final
2014-05-10 09:47:51	ga_ls7e_ard_3-0-0_096067_2014-05-10_final
2014-05-10 09:49:03	ga_ls7e_ard_3-0-0_096070_2014-05-10_final
2014-05-10 09:49:27	ga_ls7e_ard_3-0-0_096071_2014-05-10_final
2014-05-10 09:49:51	ga_ls7e_ard_3-0-0_096072_2014-05-10_final
2014-05-10 09:50:15	ga_ls7e_ard_3-0-0_096073_2014-05-10_final
2014-05-10 09:50:39	ga_ls7e_ard_3-0-0_096074_2014-05-10_final
2014-05-10 09:51:03	ga_ls7e_ard_3-0-0_096075_2014-05-10_final
2014-05-10 09:51:27	ga_ls7e_ard_3-0-0_096076_2014-05-10_final
2014-05-10 09:51:51	ga_ls7e_ard_3-0-0_096077_2014-05-10_final
2014-05-10 09:52:14	ga_ls7e_ard_3-0-0_096078_2014-05-10_final
2014-05-10 09:52:38	ga_ls7e_ard_3-0-0_096079_2014-05-10_final
2014-05-10 09:53:02	ga_ls7e_ard_3-0-0_096080_2014-05-10_final
2014-05-10 09:53:26	ga_ls7e_ard_3-0-0_096081_2014-05-10_final
2014-05-10 09:53:50	ga_ls7e_ard_3-0-0_096082_2014-05-10_final
2014-05-10 09:54:14	ga_ls7e_ard_3-0-0_096083_2014-05-10_final
2014-05-10 09:54:38	ga_ls7e_ard_3-0-0_096084_2014-05-10_final
2014-05-10 09:55:02	ga_ls7e_ard_3-0-0_096085_2014-05-10_final
2014-05-10 09:55:26	ga_ls7e_ard_3-1-0_096086_2014-05-10_final
2014-05-10 11:26:44	ga_ls7e_ard_3-0-0_112067_2014-05-10_final
2014-05-10 11:29:32	ga_ls7e_ard_3-0-0_112074_2014-05-10_final
2014-05-10 11:29:56	ga_ls7e_ard_3-0-0_112075_2014-05-10_final
2014-05-10 11:30:20	ga_ls7e_ard_3-0-0_112076_2014-05-10_final
2014-05-10 11:30:44	ga_ls7e_ard_3-0-0_112077_2014-05-10_final
2014-05-10 11:31:08	ga_ls7e_ard_3-0-0_112078_2014-05-10_final
2014-05-10 11:31:32	ga_ls7e_ard_3-0-0_112079_2014-05-10_final
2014-05-10 11:31:55	ga_ls7e_ard_3-0-0_112080_2014-05-10_final
2014-05-10 11:32:19	ga_ls7e_ard_3-0-0_112081_2014-05-10_final
2014-05-10 11:32:43	ga_ls7e_ard_3-0-0_112082_2014-05-10_final
2014-05-10 11:33:07	ga_ls7e_ard_3-0-0_112083_2014-05-10_final
2014-05-10 11:33:31	ga_ls7e_ard_3-0-0_112084_2014-05-10_final
2014-05-23 09:20:38	ga_ls7e_ard_3-0-0_091076_2014-05-22_final
2014-05-23 09:21:02	ga_ls7e_ard_3-0-0_091077_2014-05-22_final
2014-05-23 09:22:14	ga_ls7e_ard_3-0-0_091080_2014-05-22_final
2014-05-23 09:22:38	ga_ls7e_ard_3-1-0_091081_2014-05-22_final
2014-05-23 09:23:02	ga_ls7e_ard_3-0-0_091082_2014-05-22_final
2014-05-23 09:23:26	ga_ls7e_ard_3-0-0_091083_2014-05-22_final
2014-05-23 09:23:50	ga_ls7e_ard_3-0-0_091084_2014-05-22_final
2014-05-23 09:24:14	ga_ls7e_ard_3-0-0_091085_2014-05-22_final
2014-05-23 09:24:38	ga_ls7e_ard_3-1-0_091086_2014-05-22_final
2014-05-23 09:25:26	ga_ls7e_ard_3-0-0_091088_2014-05-22_final
2014-05-23 09:25:50	ga_ls7e_ard_3-0-0_091089_2014-05-22_final
2014-05-24 10:00:19	ga_ls7e_ard_3-0-0_098067_2014-05-24_final
2014-05-24 10:00:43	ga_ls7e_ard_3-0-0_098068_2014-05-24_final
2014-05-24 10:01:07	ga_ls7e_ard_3-0-0_098069_2014-05-24_final
2014-05-24 10:01:31	ga_ls7e_ard_3-0-0_098070_2014-05-24_final
2014-05-24 10:01:54	ga_ls7e_ard_3-0-0_098071_2014-05-24_final
2014-05-24 10:02:18	ga_ls7e_ard_3-0-0_098072_2014-05-24_final
2014-05-25 09:08:41	ga_ls7e_ard_3-0-0_089077_2014-05-24_final
2014-05-25 09:09:05	ga_ls7e_ard_3-0-0_089078_2014-05-24_final
2014-05-25 09:09:29	ga_ls7e_ard_3-0-0_089079_2014-05-24_final
2014-05-25 09:09:53	ga_ls7e_ard_3-0-0_089080_2014-05-24_final
2014-05-25 09:10:17	ga_ls7e_ard_3-1-0_089081_2014-05-24_final

Return to ga_ls7e_ard_3 across May 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

May

All days