Search ga_ls7e_ard_3 across 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
2014-10-06 10:07:03	ga_ls7e_ard_3-0-0_099067_2014-10-06_final
2014-10-07 09:15:26	ga_ls7e_ard_3-0-0_090077_2014-10-06_final
2014-10-07 09:15:50	ga_ls7e_ard_3-0-0_090078_2014-10-06_final
2014-10-07 09:16:13	ga_ls7e_ard_3-0-0_090079_2014-10-06_final
2014-10-07 09:16:37	ga_ls7e_ard_3-0-0_090080_2014-10-06_final
2014-10-07 09:17:01	ga_ls7e_ard_3-0-0_090081_2014-10-06_final
2014-10-07 09:17:25	ga_ls7e_ard_3-0-0_090082_2014-10-06_final
2014-10-07 09:17:49	ga_ls7e_ard_3-0-0_090083_2014-10-06_final
2014-10-07 09:18:13	ga_ls7e_ard_3-0-0_090084_2014-10-06_final
2014-10-07 09:18:37	ga_ls7e_ard_3-1-0_090085_2014-10-06_final
2014-10-07 09:19:01	ga_ls7e_ard_3-0-0_090086_2014-10-06_final
2014-10-07 09:19:49	ga_ls7e_ard_3-0-0_090088_2014-10-06_final
2014-10-07 09:20:13	ga_ls7e_ard_3-0-0_090089_2014-10-06_final
2014-10-07 09:20:37	ga_ls7e_ard_3-0-0_090090_2014-10-06_final
2014-10-08 09:55:30	ga_ls7e_ard_3-0-0_097069_2014-10-08_final
2014-10-08 09:55:54	ga_ls7e_ard_3-0-0_097070_2014-10-08_final
2014-10-08 09:56:18	ga_ls7e_ard_3-0-0_097071_2014-10-08_final
2014-10-08 09:56:42	ga_ls7e_ard_3-0-0_097072_2014-10-08_final
2014-10-08 09:57:06	ga_ls7e_ard_3-0-0_097073_2014-10-08_final
2014-10-08 09:57:30	ga_ls7e_ard_3-0-0_097074_2014-10-08_final
2014-10-08 09:57:54	ga_ls7e_ard_3-0-0_097075_2014-10-08_final
2014-10-08 09:58:18	ga_ls7e_ard_3-1-0_097076_2014-10-08_final
2014-10-08 09:58:42	ga_ls7e_ard_3-0-0_097077_2014-10-08_final
2014-10-08 09:59:06	ga_ls7e_ard_3-0-0_097078_2014-10-08_final
2014-10-08 09:59:30	ga_ls7e_ard_3-0-0_097079_2014-10-08_final
2014-10-08 09:59:54	ga_ls7e_ard_3-0-0_097080_2014-10-08_final
2014-10-08 10:00:18	ga_ls7e_ard_3-0-0_097081_2014-10-08_final
2014-10-08 10:00:41	ga_ls7e_ard_3-0-0_097082_2014-10-08_final
2014-10-08 10:01:05	ga_ls7e_ard_3-0-0_097083_2014-10-08_final
2014-10-08 10:01:29	ga_ls7e_ard_3-0-0_097084_2014-10-08_final
2014-10-08 10:01:53	ga_ls7e_ard_3-0-0_097085_2014-10-08_final
2014-12-16 10:15:24	ga_ls7e_ard_3-0-0_100071_2014-12-16_final
2014-12-16 10:15:48	ga_ls7e_ard_3-0-0_100072_2014-12-16_final
2014-12-16 10:16:12	ga_ls7e_ard_3-0-0_100073_2014-12-16_final
2014-12-16 10:16:36	ga_ls7e_ard_3-0-0_100074_2014-12-16_final
2014-12-16 10:17:00	ga_ls7e_ard_3-0-0_100075_2014-12-16_final
2014-12-16 10:17:24	ga_ls7e_ard_3-0-0_100076_2014-12-16_final
2014-12-16 10:17:47	ga_ls7e_ard_3-0-0_100077_2014-12-16_final
2014-12-16 10:18:35	ga_ls7e_ard_3-0-0_100079_2014-12-16_final
2014-12-16 10:18:59	ga_ls7e_ard_3-0-0_100080_2014-12-16_final
2014-12-16 10:19:23	ga_ls7e_ard_3-0-0_100081_2014-12-16_final
2014-12-16 10:19:47	ga_ls7e_ard_3-0-0_100082_2014-12-16_final
2014-12-16 10:20:11	ga_ls7e_ard_3-0-0_100083_2014-12-16_final
2014-12-16 10:20:35	ga_ls7e_ard_3-0-0_100084_2014-12-16_final
2014-12-17 09:21:47	ga_ls7e_ard_3-0-0_091076_2014-12-16_final
2014-12-17 09:22:35	ga_ls7e_ard_3-0-0_091078_2014-12-16_final
2014-12-17 09:22:59	ga_ls7e_ard_3-0-0_091079_2014-12-16_final
2014-12-17 09:23:23	ga_ls7e_ard_3-0-0_091080_2014-12-16_final
2014-12-17 09:23:47	ga_ls7e_ard_3-0-0_091081_2014-12-16_final
2014-12-17 09:24:11	ga_ls7e_ard_3-0-0_091082_2014-12-16_final
2014-12-17 09:24:34	ga_ls7e_ard_3-0-0_091083_2014-12-16_final
2014-12-17 09:24:58	ga_ls7e_ard_3-0-0_091084_2014-12-16_final
2014-12-17 09:25:22	ga_ls7e_ard_3-0-0_091085_2014-12-16_final
2014-12-17 09:25:46	ga_ls7e_ard_3-1-0_091086_2014-12-16_final
2014-12-17 09:26:34	ga_ls7e_ard_3-0-0_091088_2014-12-16_final
2014-12-17 09:26:58	ga_ls7e_ard_3-0-0_091089_2014-12-16_final
2014-12-17 09:27:22	ga_ls7e_ard_3-0-0_091090_2014-12-16_final
2014-12-17 10:58:16	ga_ls7e_ard_3-0-0_107070_2014-12-17_final
2014-12-17 10:58:40	ga_ls7e_ard_3-0-0_107071_2014-12-17_final
2014-12-17 10:59:04	ga_ls7e_ard_3-0-0_107072_2014-12-17_final
2014-12-17 10:59:28	ga_ls7e_ard_3-0-0_107073_2014-12-17_final
2014-12-17 10:59:52	ga_ls7e_ard_3-0-0_107074_2014-12-17_final
2014-12-17 11:00:40	ga_ls7e_ard_3-0-0_107076_2014-12-17_final
2014-12-17 11:01:04	ga_ls7e_ard_3-0-0_107077_2014-12-17_final
2014-12-17 11:01:28	ga_ls7e_ard_3-0-0_107078_2014-12-17_final
2014-12-17 11:01:52	ga_ls7e_ard_3-0-0_107079_2014-12-17_final
2014-12-17 11:02:16	ga_ls7e_ard_3-0-0_107080_2014-12-17_final
2014-12-17 11:02:40	ga_ls7e_ard_3-0-0_107081_2014-12-17_final
2014-12-17 11:03:04	ga_ls7e_ard_3-0-0_107082_2014-12-17_final
2014-12-17 11:03:28	ga_ls7e_ard_3-0-0_107083_2014-12-17_final
2014-12-17 11:03:51	ga_ls7e_ard_3-0-0_107084_2014-12-17_final
2014-12-18 10:01:28	ga_ls7e_ard_3-0-0_098067_2014-12-18_final
2014-12-18 10:01:52	ga_ls7e_ard_3-0-0_098068_2014-12-18_final
2014-12-18 10:02:16	ga_ls7e_ard_3-0-0_098069_2014-12-18_final
2014-12-18 10:02:40	ga_ls7e_ard_3-0-0_098070_2014-12-18_final
2014-12-18 10:03:03	ga_ls7e_ard_3-0-0_098071_2014-12-18_final
2014-12-18 10:03:27	ga_ls7e_ard_3-0-0_098072_2014-12-18_final
2014-12-18 10:03:51	ga_ls7e_ard_3-0-0_098073_2014-12-18_final
2014-12-18 10:04:15	ga_ls7e_ard_3-0-0_098074_2014-12-18_final
2014-12-18 10:06:39	ga_ls7e_ard_3-0-0_098080_2014-12-18_final
2014-12-18 10:07:03	ga_ls7e_ard_3-0-0_098081_2014-12-18_final
2014-12-18 10:07:27	ga_ls7e_ard_3-0-0_098082_2014-12-18_final
2014-12-18 10:07:51	ga_ls7e_ard_3-0-0_098083_2014-12-18_final
2014-12-18 10:08:15	ga_ls7e_ard_3-0-0_098084_2014-12-18_final
2014-12-18 10:08:39	ga_ls7e_ard_3-0-0_098085_2014-12-18_final
2014-12-18 11:43:08	ga_ls7e_ard_3-0-0_114074_2014-12-18_final
2014-12-18 11:43:32	ga_ls7e_ard_3-0-0_114075_2014-12-18_final
2014-12-18 11:43:56	ga_ls7e_ard_3-0-0_114076_2014-12-18_final
2014-12-18 11:44:20	ga_ls7e_ard_3-0-0_114077_2014-12-18_final
2014-12-18 11:44:44	ga_ls7e_ard_3-0-0_114078_2014-12-18_final
2014-12-18 11:45:08	ga_ls7e_ard_3-0-0_114079_2014-12-18_final
2014-12-18 11:45:32	ga_ls7e_ard_3-0-0_114080_2014-12-18_final
2014-12-19 09:10:14	ga_ls7e_ard_3-0-0_089078_2014-12-18_final
2014-12-19 09:10:38	ga_ls7e_ard_3-0-0_089079_2014-12-18_final
2014-12-19 09:11:02	ga_ls7e_ard_3-0-0_089080_2014-12-18_final
2014-12-19 09:11:26	ga_ls7e_ard_3-1-0_089081_2014-12-18_final
2014-12-19 09:11:50	ga_ls7e_ard_3-0-0_089082_2014-12-18_final
2014-12-19 09:12:14	ga_ls7e_ard_3-0-0_089083_2014-12-18_final
2014-12-19 09:12:38	ga_ls7e_ard_3-0-0_089084_2014-12-18_final
2014-12-19 09:13:02	ga_ls7e_ard_3-0-0_089085_2014-12-18_final

Return to ga_ls7e_ard_3 across 2014 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

2014

All months