Search ga_ls7e_ard_3 across July 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
2013-07-06 10:12:22	ga_ls7e_ard_3-0-0_100071_2013-07-06_final
2013-07-06 10:12:46	ga_ls7e_ard_3-0-0_100072_2013-07-06_final
2013-07-06 10:13:10	ga_ls7e_ard_3-0-0_100073_2013-07-06_final
2013-07-06 10:13:34	ga_ls7e_ard_3-0-0_100074_2013-07-06_final
2013-07-06 10:13:58	ga_ls7e_ard_3-0-0_100075_2013-07-06_final
2013-07-06 10:14:22	ga_ls7e_ard_3-0-0_100076_2013-07-06_final
2013-07-06 10:14:46	ga_ls7e_ard_3-0-0_100077_2013-07-06_final
2013-07-06 10:15:10	ga_ls7e_ard_3-0-0_100078_2013-07-06_final
2013-07-06 10:15:34	ga_ls7e_ard_3-0-0_100079_2013-07-06_final
2013-07-06 10:15:57	ga_ls7e_ard_3-0-0_100080_2013-07-06_final
2013-07-06 10:16:21	ga_ls7e_ard_3-0-0_100081_2013-07-06_final
2013-07-06 10:16:45	ga_ls7e_ard_3-0-0_100082_2013-07-06_final
2013-07-06 10:17:09	ga_ls7e_ard_3-0-0_100083_2013-07-06_final
2013-07-06 10:17:33	ga_ls7e_ard_3-0-0_100084_2013-07-06_final
2013-07-07 09:18:44	ga_ls7e_ard_3-0-0_091076_2013-07-06_final
2013-07-07 09:19:08	ga_ls7e_ard_3-0-0_091077_2013-07-06_final
2013-07-07 09:19:31	ga_ls7e_ard_3-0-0_091078_2013-07-06_final
2013-07-07 09:19:55	ga_ls7e_ard_3-0-0_091079_2013-07-06_final
2013-07-07 09:20:19	ga_ls7e_ard_3-0-0_091080_2013-07-06_final
2013-07-07 09:20:43	ga_ls7e_ard_3-0-0_091081_2013-07-06_final
2013-07-07 09:21:07	ga_ls7e_ard_3-0-0_091082_2013-07-06_final
2013-07-07 09:21:31	ga_ls7e_ard_3-0-0_091083_2013-07-06_final
2013-07-07 09:21:55	ga_ls7e_ard_3-0-0_091084_2013-07-06_final
2013-07-07 09:22:19	ga_ls7e_ard_3-0-0_091085_2013-07-06_final
2013-07-07 09:22:43	ga_ls7e_ard_3-1-0_091086_2013-07-06_final
2013-07-07 09:23:07	ga_ls7e_ard_3-0-0_091087_2013-07-06_final
2013-07-07 09:23:31	ga_ls7e_ard_3-0-0_091088_2013-07-06_final
2013-07-07 09:23:55	ga_ls7e_ard_3-0-0_091089_2013-07-06_final
2013-07-07 09:24:19	ga_ls7e_ard_3-0-0_091090_2013-07-06_final
2013-07-07 10:55:13	ga_ls7e_ard_3-0-0_107070_2013-07-07_final
2013-07-07 10:55:37	ga_ls7e_ard_3-0-0_107071_2013-07-07_final
2013-07-07 10:56:01	ga_ls7e_ard_3-0-0_107072_2013-07-07_final
2013-07-07 10:56:25	ga_ls7e_ard_3-0-0_107073_2013-07-07_final
2013-07-07 10:56:49	ga_ls7e_ard_3-0-0_107074_2013-07-07_final
2013-07-07 10:57:13	ga_ls7e_ard_3-0-0_107075_2013-07-07_final
2013-07-07 10:57:37	ga_ls7e_ard_3-0-0_107076_2013-07-07_final
2013-07-07 10:58:00	ga_ls7e_ard_3-0-0_107077_2013-07-07_final
2013-07-07 10:58:24	ga_ls7e_ard_3-0-0_107078_2013-07-07_final
2013-07-07 10:58:48	ga_ls7e_ard_3-0-0_107079_2013-07-07_final
2013-07-07 10:59:12	ga_ls7e_ard_3-0-0_107080_2013-07-07_final
2013-07-07 10:59:36	ga_ls7e_ard_3-0-0_107081_2013-07-07_final
2013-07-07 11:00:00	ga_ls7e_ard_3-0-0_107082_2013-07-07_final
2013-07-07 11:00:24	ga_ls7e_ard_3-0-0_107083_2013-07-07_final
2013-07-07 11:00:48	ga_ls7e_ard_3-0-0_107084_2013-07-07_final
2013-07-08 09:58:23	ga_ls7e_ard_3-0-0_098067_2013-07-08_final
2013-07-08 09:59:11	ga_ls7e_ard_3-0-0_098069_2013-07-08_final
2013-07-08 09:59:35	ga_ls7e_ard_3-0-0_098070_2013-07-08_final
2013-07-08 09:59:59	ga_ls7e_ard_3-0-0_098071_2013-07-08_final
2013-07-08 10:00:23	ga_ls7e_ard_3-0-0_098072_2013-07-08_final
2013-07-08 10:00:46	ga_ls7e_ard_3-0-0_098073_2013-07-08_final
2013-07-08 10:01:10	ga_ls7e_ard_3-0-0_098074_2013-07-08_final
2013-07-08 10:01:34	ga_ls7e_ard_3-0-0_098075_2013-07-08_final
2013-07-08 10:01:58	ga_ls7e_ard_3-0-0_098076_2013-07-08_final
2013-07-08 10:02:22	ga_ls7e_ard_3-0-0_098077_2013-07-08_final
2013-07-08 10:02:46	ga_ls7e_ard_3-0-0_098078_2013-07-08_final
2013-07-08 10:03:10	ga_ls7e_ard_3-0-0_098079_2013-07-08_final
2013-07-08 10:03:34	ga_ls7e_ard_3-0-0_098080_2013-07-08_final
2013-07-08 10:03:58	ga_ls7e_ard_3-0-0_098081_2013-07-08_final
2013-07-08 10:04:22	ga_ls7e_ard_3-0-0_098082_2013-07-08_final
2013-07-08 10:04:46	ga_ls7e_ard_3-0-0_098083_2013-07-08_final
2013-07-08 10:05:10	ga_ls7e_ard_3-0-0_098084_2013-07-08_final
2013-07-08 10:05:34	ga_ls7e_ard_3-0-0_098085_2013-07-08_final
2013-07-08 11:37:16	ga_ls7e_ard_3-0-0_114067_2013-07-08_final
2013-07-08 11:40:03	ga_ls7e_ard_3-0-0_114074_2013-07-08_final
2013-07-08 11:40:27	ga_ls7e_ard_3-0-0_114075_2013-07-08_final
2013-07-08 11:40:51	ga_ls7e_ard_3-0-0_114076_2013-07-08_final
2013-07-08 11:41:15	ga_ls7e_ard_3-0-0_114077_2013-07-08_final
2013-07-08 11:41:39	ga_ls7e_ard_3-0-0_114078_2013-07-08_final
2013-07-08 11:42:03	ga_ls7e_ard_3-0-0_114079_2013-07-08_final
2013-07-08 11:42:27	ga_ls7e_ard_3-0-0_114080_2013-07-08_final
2013-07-08 11:42:51	ga_ls7e_ard_3-0-0_114081_2013-07-08_final
2013-07-09 09:07:08	ga_ls7e_ard_3-0-0_089078_2013-07-08_final
2013-07-09 09:07:32	ga_ls7e_ard_3-0-0_089079_2013-07-08_final
2013-07-09 09:07:56	ga_ls7e_ard_3-0-0_089080_2013-07-08_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2013-07-09 09:08:44	ga_ls7e_ard_3-0-0_089082_2013-07-08_final
2013-07-09 09:09:08	ga_ls7e_ard_3-0-0_089083_2013-07-08_final
2013-07-09 09:09:32	ga_ls7e_ard_3-0-0_089084_2013-07-08_final
2013-07-09 09:09:56	ga_ls7e_ard_3-0-0_089085_2013-07-08_final
2013-07-09 09:10:20	ga_ls7e_ard_3-0-0_089086_2013-07-08_final
2013-07-09 09:11:32	ga_ls7e_ard_3-0-0_089089_2013-07-08_final
2013-07-09 09:11:55	ga_ls7e_ard_3-0-0_089090_2013-07-08_final
2013-07-10 09:46:00	ga_ls7e_ard_3-0-0_096067_2013-07-10_final
2013-07-10 09:47:11	ga_ls7e_ard_3-0-0_096070_2013-07-10_final
2013-07-10 09:47:35	ga_ls7e_ard_3-0-0_096071_2013-07-10_final
2013-07-10 09:47:59	ga_ls7e_ard_3-0-0_096072_2013-07-10_final
2013-07-12 09:33:38	ga_ls7e_ard_3-0-0_094067_2013-07-12_final
2013-07-12 09:36:25	ga_ls7e_ard_3-0-0_094074_2013-07-12_final
2013-07-12 09:36:49	ga_ls7e_ard_3-0-0_094075_2013-07-12_final
2013-07-12 09:37:13	ga_ls7e_ard_3-0-0_094076_2013-07-12_final
2013-07-12 09:37:37	ga_ls7e_ard_3-0-0_094077_2013-07-12_final
2013-07-12 09:38:01	ga_ls7e_ard_3-0-0_094078_2013-07-12_final
2013-07-12 09:38:25	ga_ls7e_ard_3-0-0_094079_2013-07-12_final
2013-07-12 09:38:49	ga_ls7e_ard_3-0-0_094080_2013-07-12_final
2013-07-12 09:39:13	ga_ls7e_ard_3-0-0_094081_2013-07-12_final
2013-07-12 09:39:37	ga_ls7e_ard_3-0-0_094082_2013-07-12_final
2013-07-12 09:40:01	ga_ls7e_ard_3-0-0_094083_2013-07-12_final
2013-07-12 09:40:25	ga_ls7e_ard_3-0-0_094084_2013-07-12_final
2013-07-12 09:40:49	ga_ls7e_ard_3-0-0_094085_2013-07-12_final
2013-07-12 09:41:13	ga_ls7e_ard_3-0-0_094086_2013-07-12_final

Return to ga_ls7e_ard_3 across July 2013 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

2013

July

All days