Search ga_ls7e_ard_3 across November 2013

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
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2013-11-01 09:36:41	ga_ls7e_ard_3-0-0_094073_2013-11-01_final
2013-11-01 09:37:29	ga_ls7e_ard_3-0-0_094075_2013-11-01_final
2013-11-01 09:37:53	ga_ls7e_ard_3-0-0_094076_2013-11-01_final
2013-11-01 09:38:17	ga_ls7e_ard_3-0-0_094077_2013-11-01_final
2013-11-01 09:38:41	ga_ls7e_ard_3-0-0_094078_2013-11-01_final
2013-11-01 09:39:05	ga_ls7e_ard_3-0-0_094079_2013-11-01_final
2013-11-01 09:39:29	ga_ls7e_ard_3-0-0_094080_2013-11-01_final
2013-11-01 09:39:53	ga_ls7e_ard_3-0-0_094081_2013-11-01_final
2013-11-01 09:40:17	ga_ls7e_ard_3-0-0_094082_2013-11-01_final
2013-11-01 09:40:41	ga_ls7e_ard_3-1-0_094083_2013-11-01_final
2013-11-01 09:41:05	ga_ls7e_ard_3-0-0_094084_2013-11-01_final
2013-11-01 09:41:29	ga_ls7e_ard_3-0-0_094085_2013-11-01_final
2013-11-01 09:41:53	ga_ls7e_ard_3-0-0_094086_2013-11-01_final
2013-11-01 09:42:17	ga_ls7e_ard_3-0-0_094087_2013-11-01_final
2013-11-01 11:13:11	ga_ls7e_ard_3-0-0_110067_2013-11-01_final
2013-11-01 11:14:23	ga_ls7e_ard_3-0-0_110070_2013-11-01_final
2013-11-01 11:14:47	ga_ls7e_ard_3-0-0_110071_2013-11-01_final
2013-11-01 11:15:10	ga_ls7e_ard_3-1-0_110072_2013-11-01_final
2013-11-01 11:15:34	ga_ls7e_ard_3-0-0_110073_2013-11-01_final
2013-11-01 11:15:58	ga_ls7e_ard_3-0-0_110074_2013-11-01_final
2013-11-01 11:16:22	ga_ls7e_ard_3-0-0_110075_2013-11-01_final
2013-11-01 11:16:46	ga_ls7e_ard_3-0-0_110076_2013-11-01_final
2013-11-01 11:17:10	ga_ls7e_ard_3-0-0_110077_2013-11-01_final
2013-11-01 11:17:34	ga_ls7e_ard_3-0-0_110078_2013-11-01_final
2013-11-01 11:17:58	ga_ls7e_ard_3-0-0_110079_2013-11-01_final
2013-11-01 11:18:22	ga_ls7e_ard_3-0-0_110080_2013-11-01_final
2013-11-01 11:18:46	ga_ls7e_ard_3-0-0_110081_2013-11-01_final
2013-11-01 11:19:10	ga_ls7e_ard_3-0-0_110082_2013-11-01_final
2013-11-01 11:19:34	ga_ls7e_ard_3-0-0_110083_2013-11-01_final
2013-11-01 11:19:58	ga_ls7e_ard_3-0-0_110084_2013-11-01_final
2013-11-11 10:13:05	ga_ls7e_ard_3-0-0_100071_2013-11-11_final
2013-11-11 10:13:29	ga_ls7e_ard_3-0-0_100072_2013-11-11_final
2013-11-11 10:13:52	ga_ls7e_ard_3-0-0_100073_2013-11-11_final
2013-11-11 10:14:16	ga_ls7e_ard_3-0-0_100074_2013-11-11_final
2013-11-11 10:14:40	ga_ls7e_ard_3-0-0_100075_2013-11-11_final
2013-11-11 10:15:04	ga_ls7e_ard_3-0-0_100076_2013-11-11_final
2013-11-11 10:15:28	ga_ls7e_ard_3-0-0_100077_2013-11-11_final
2013-11-11 10:15:52	ga_ls7e_ard_3-0-0_100078_2013-11-11_final
2013-11-11 10:16:16	ga_ls7e_ard_3-0-0_100079_2013-11-11_final
2013-11-11 10:16:40	ga_ls7e_ard_3-0-0_100080_2013-11-11_final
2013-11-11 10:17:04	ga_ls7e_ard_3-1-0_100081_2013-11-11_final
2013-11-11 10:17:28	ga_ls7e_ard_3-0-0_100082_2013-11-11_final
2013-11-11 10:17:52	ga_ls7e_ard_3-0-0_100083_2013-11-11_final
2013-11-11 10:18:16	ga_ls7e_ard_3-0-0_100084_2013-11-11_final
2013-11-12 09:19:27	ga_ls7e_ard_3-0-0_091076_2013-11-11_final
2013-11-12 09:19:51	ga_ls7e_ard_3-0-0_091077_2013-11-11_final
2013-11-12 09:20:15	ga_ls7e_ard_3-0-0_091078_2013-11-11_final
2013-11-12 09:20:39	ga_ls7e_ard_3-0-0_091079_2013-11-11_final
2013-11-12 09:21:03	ga_ls7e_ard_3-0-0_091080_2013-11-11_final
2013-11-12 09:21:27	ga_ls7e_ard_3-0-0_091081_2013-11-11_final
2013-11-12 09:21:51	ga_ls7e_ard_3-0-0_091082_2013-11-11_final
2013-11-12 09:22:15	ga_ls7e_ard_3-0-0_091083_2013-11-11_final
2013-11-12 09:22:39	ga_ls7e_ard_3-0-0_091084_2013-11-11_final
2013-11-12 09:24:15	ga_ls7e_ard_3-0-0_091088_2013-11-11_final
2013-11-12 09:25:03	ga_ls7e_ard_3-0-0_091090_2013-11-11_final
2013-11-12 10:55:57	ga_ls7e_ard_3-0-0_107070_2013-11-12_final
2013-11-12 10:56:21	ga_ls7e_ard_3-0-0_107071_2013-11-12_final
2013-11-12 10:56:44	ga_ls7e_ard_3-0-0_107072_2013-11-12_final
2013-11-12 10:57:08	ga_ls7e_ard_3-0-0_107073_2013-11-12_final
2013-11-12 10:57:32	ga_ls7e_ard_3-0-0_107074_2013-11-12_final
2013-11-12 10:57:56	ga_ls7e_ard_3-0-0_107075_2013-11-12_final
2013-11-12 10:58:20	ga_ls7e_ard_3-0-0_107076_2013-11-12_final
2013-11-12 10:58:44	ga_ls7e_ard_3-0-0_107077_2013-11-12_final
2013-11-13 09:59:32	ga_ls7e_ard_3-0-0_098068_2013-11-13_final
2013-11-13 10:00:19	ga_ls7e_ard_3-0-0_098070_2013-11-13_final
2013-11-13 10:00:43	ga_ls7e_ard_3-0-0_098071_2013-11-13_final
2013-11-13 10:01:07	ga_ls7e_ard_3-0-0_098072_2013-11-13_final
2013-11-13 10:01:31	ga_ls7e_ard_3-0-0_098073_2013-11-13_final
2013-11-13 10:01:55	ga_ls7e_ard_3-0-0_098074_2013-11-13_final
2013-11-13 10:02:19	ga_ls7e_ard_3-0-0_098075_2013-11-13_final
2013-11-13 10:02:43	ga_ls7e_ard_3-0-0_098076_2013-11-13_final
2013-11-13 10:03:07	ga_ls7e_ard_3-0-0_098077_2013-11-13_final
2013-11-13 10:03:31	ga_ls7e_ard_3-0-0_098078_2013-11-13_final
2013-11-13 10:03:55	ga_ls7e_ard_3-0-0_098079_2013-11-13_final
2013-11-13 10:04:19	ga_ls7e_ard_3-0-0_098080_2013-11-13_final
2013-11-13 10:04:43	ga_ls7e_ard_3-0-0_098081_2013-11-13_final
2013-11-13 10:05:07	ga_ls7e_ard_3-0-0_098082_2013-11-13_final
2013-11-13 10:05:31	ga_ls7e_ard_3-0-0_098083_2013-11-13_final
2013-11-13 10:05:55	ga_ls7e_ard_3-0-0_098084_2013-11-13_final
2013-11-13 10:06:19	ga_ls7e_ard_3-0-0_098085_2013-11-13_final
2013-11-14 09:07:54	ga_ls7e_ard_3-0-0_089078_2013-11-13_final
2013-11-14 09:08:42	ga_ls7e_ard_3-0-0_089080_2013-11-13_final
2013-11-14 09:09:06	ga_ls7e_ard_3-1-0_089081_2013-11-13_final
2013-11-14 09:09:30	ga_ls7e_ard_3-0-0_089082_2013-11-13_final
2013-11-14 09:09:54	ga_ls7e_ard_3-0-0_089083_2013-11-13_final
2013-11-14 09:10:17	ga_ls7e_ard_3-0-0_089084_2013-11-13_final
2013-11-14 09:10:41	ga_ls7e_ard_3-0-0_089085_2013-11-13_final
2013-11-14 09:11:05	ga_ls7e_ard_3-0-0_089086_2013-11-13_final
2013-11-14 10:42:47	ga_ls7e_ard_3-0-0_105068_2013-11-14_final
2013-11-14 10:43:11	ga_ls7e_ard_3-0-0_105069_2013-11-14_final
2013-11-14 10:43:35	ga_ls7e_ard_3-0-0_105070_2013-11-14_final
2013-11-14 10:43:59	ga_ls7e_ard_3-0-0_105071_2013-11-14_final
2013-11-14 10:44:23	ga_ls7e_ard_3-0-0_105072_2013-11-14_final
2013-11-14 10:45:35	ga_ls7e_ard_3-0-0_105075_2013-11-14_final
2013-11-14 10:45:59	ga_ls7e_ard_3-0-0_105076_2013-11-14_final
2013-11-14 10:46:23	ga_ls7e_ard_3-0-0_105077_2013-11-14_final
2013-11-14 10:46:47	ga_ls7e_ard_3-0-0_105078_2013-11-14_final
2013-11-14 10:47:11	ga_ls7e_ard_3-0-0_105079_2013-11-14_final
2013-11-14 10:47:35	ga_ls7e_ard_3-1-0_105080_2013-11-14_final

Return to ga_ls7e_ard_3 across November 2013 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

2013

November

All days