Search ga_ls7e_ard_3 across December 2015

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
2015-12-03 10:17:51	ga_ls7e_ard_3-0-0_100071_2015-12-03_final
2015-12-03 10:18:15	ga_ls7e_ard_3-0-0_100072_2015-12-03_final
2015-12-03 10:18:39	ga_ls7e_ard_3-0-0_100073_2015-12-03_final
2015-12-03 10:19:03	ga_ls7e_ard_3-0-0_100074_2015-12-03_final
2015-12-03 10:19:27	ga_ls7e_ard_3-0-0_100075_2015-12-03_final
2015-12-03 10:19:51	ga_ls7e_ard_3-0-0_100076_2015-12-03_final
2015-12-03 10:20:15	ga_ls7e_ard_3-0-0_100077_2015-12-03_final
2015-12-03 10:20:39	ga_ls7e_ard_3-0-0_100078_2015-12-03_final
2015-12-03 10:21:02	ga_ls7e_ard_3-0-0_100079_2015-12-03_final
2015-12-03 10:21:26	ga_ls7e_ard_3-0-0_100080_2015-12-03_final
2015-12-03 10:21:50	ga_ls7e_ard_3-1-0_100081_2015-12-03_final
2015-12-03 10:22:14	ga_ls7e_ard_3-0-0_100082_2015-12-03_final
2015-12-03 10:22:38	ga_ls7e_ard_3-0-0_100083_2015-12-03_final
2015-12-03 10:23:02	ga_ls7e_ard_3-0-0_100084_2015-12-03_final
2015-12-04 09:24:15	ga_ls7e_ard_3-0-0_091076_2015-12-03_final
2015-12-04 09:24:39	ga_ls7e_ard_3-0-0_091077_2015-12-03_final
2015-12-04 09:25:02	ga_ls7e_ard_3-0-0_091078_2015-12-03_final
2015-12-04 09:25:26	ga_ls7e_ard_3-0-0_091079_2015-12-03_final
2015-12-04 09:25:50	ga_ls7e_ard_3-0-0_091080_2015-12-03_final
2015-12-04 09:26:14	ga_ls7e_ard_3-0-0_091081_2015-12-03_final
2015-12-04 09:26:38	ga_ls7e_ard_3-0-0_091082_2015-12-03_final
2015-12-04 09:27:02	ga_ls7e_ard_3-0-0_091083_2015-12-03_final
2015-12-04 09:27:26	ga_ls7e_ard_3-0-0_091084_2015-12-03_final
2015-12-04 09:27:50	ga_ls7e_ard_3-0-0_091085_2015-12-03_final
2015-12-04 09:28:14	ga_ls7e_ard_3-1-0_091086_2015-12-03_final
2015-12-04 09:28:38	ga_ls7e_ard_3-0-0_091087_2015-12-03_final
2015-12-04 09:29:02	ga_ls7e_ard_3-0-0_091088_2015-12-03_final
2015-12-04 09:29:26	ga_ls7e_ard_3-0-0_091089_2015-12-03_final
2015-12-04 11:00:44	ga_ls7e_ard_3-0-0_107070_2015-12-04_final
2015-12-04 11:01:08	ga_ls7e_ard_3-1-0_107071_2015-12-04_final
2015-12-04 11:01:32	ga_ls7e_ard_3-0-0_107072_2015-12-04_final
2015-12-04 11:02:20	ga_ls7e_ard_3-0-0_107074_2015-12-04_final
2015-12-04 11:02:44	ga_ls7e_ard_3-0-0_107075_2015-12-04_final
2015-12-04 11:03:08	ga_ls7e_ard_3-0-0_107076_2015-12-04_final
2015-12-04 11:03:32	ga_ls7e_ard_3-0-0_107077_2015-12-04_final
2015-12-04 11:03:56	ga_ls7e_ard_3-0-0_107078_2015-12-04_final
2015-12-04 11:04:20	ga_ls7e_ard_3-0-0_107079_2015-12-04_final
2015-12-04 11:04:43	ga_ls7e_ard_3-0-0_107080_2015-12-04_final
2015-12-04 11:05:07	ga_ls7e_ard_3-0-0_107081_2015-12-04_final
2015-12-04 11:05:31	ga_ls7e_ard_3-0-0_107082_2015-12-04_final
2015-12-04 11:05:55	ga_ls7e_ard_3-0-0_107083_2015-12-04_final
2015-12-05 10:03:56	ga_ls7e_ard_3-0-0_098067_2015-12-05_final
2015-12-05 10:04:20	ga_ls7e_ard_3-0-0_098068_2015-12-05_final
2015-12-05 10:04:44	ga_ls7e_ard_3-0-0_098069_2015-12-05_final
2015-12-05 10:05:08	ga_ls7e_ard_3-0-0_098070_2015-12-05_final
2015-12-05 10:05:32	ga_ls7e_ard_3-0-0_098071_2015-12-05_final
2015-12-05 10:05:56	ga_ls7e_ard_3-0-0_098072_2015-12-05_final
2015-12-05 10:06:20	ga_ls7e_ard_3-0-0_098073_2015-12-05_final
2015-12-05 10:06:44	ga_ls7e_ard_3-0-0_098074_2015-12-05_final
2015-12-05 10:07:08	ga_ls7e_ard_3-0-0_098075_2015-12-05_final
2015-12-05 10:07:32	ga_ls7e_ard_3-0-0_098076_2015-12-05_final
2015-12-05 10:07:56	ga_ls7e_ard_3-0-0_098077_2015-12-05_final
2015-12-05 10:08:19	ga_ls7e_ard_3-0-0_098078_2015-12-05_final
2015-12-05 10:08:43	ga_ls7e_ard_3-0-0_098079_2015-12-05_final
2015-12-05 10:09:07	ga_ls7e_ard_3-1-0_098080_2015-12-05_final
2015-12-05 10:09:31	ga_ls7e_ard_3-0-0_098081_2015-12-05_final
2015-12-05 10:09:55	ga_ls7e_ard_3-0-0_098082_2015-12-05_final
2015-12-05 10:10:19	ga_ls7e_ard_3-0-0_098083_2015-12-05_final
2015-12-05 10:10:43	ga_ls7e_ard_3-0-0_098084_2015-12-05_final
2015-12-05 10:11:07	ga_ls7e_ard_3-0-0_098085_2015-12-05_final
2015-12-05 11:45:37	ga_ls7e_ard_3-0-0_114074_2015-12-05_final
2015-12-05 11:46:01	ga_ls7e_ard_3-0-0_114075_2015-12-05_final
2015-12-05 11:46:25	ga_ls7e_ard_3-0-0_114076_2015-12-05_final
2015-12-05 11:46:49	ga_ls7e_ard_3-0-0_114077_2015-12-05_final
2015-12-05 11:47:13	ga_ls7e_ard_3-0-0_114078_2015-12-05_final
2015-12-05 11:47:37	ga_ls7e_ard_3-0-0_114079_2015-12-05_final
2015-12-05 11:48:01	ga_ls7e_ard_3-0-0_114080_2015-12-05_final
2015-12-09 09:41:41	ga_ls7e_ard_3-0-0_094073_2015-12-09_final
2015-12-09 09:42:05	ga_ls7e_ard_3-0-0_094074_2015-12-09_final
2015-12-09 09:42:29	ga_ls7e_ard_3-0-0_094075_2015-12-09_final
2015-12-09 09:42:53	ga_ls7e_ard_3-0-0_094076_2015-12-09_final
2015-12-09 09:43:17	ga_ls7e_ard_3-0-0_094077_2015-12-09_final
2015-12-09 09:43:41	ga_ls7e_ard_3-0-0_094078_2015-12-09_final
2015-12-09 09:44:05	ga_ls7e_ard_3-0-0_094079_2015-12-09_final
2015-12-09 09:44:29	ga_ls7e_ard_3-0-0_094080_2015-12-09_final
2015-12-09 09:44:53	ga_ls7e_ard_3-0-0_094081_2015-12-09_final
2015-12-09 09:45:17	ga_ls7e_ard_3-0-0_094082_2015-12-09_final
2015-12-09 09:45:41	ga_ls7e_ard_3-1-0_094083_2015-12-09_final
2015-12-09 09:46:05	ga_ls7e_ard_3-0-0_094084_2015-12-09_final
2015-12-09 09:46:29	ga_ls7e_ard_3-0-0_094085_2015-12-09_final
2015-12-09 09:46:53	ga_ls7e_ard_3-0-0_094086_2015-12-09_final
2015-12-10 10:24:10	ga_ls7e_ard_3-0-0_101071_2015-12-10_final
2015-12-10 10:24:34	ga_ls7e_ard_3-0-0_101072_2015-12-10_final
2015-12-11 09:30:10	ga_ls7e_ard_3-1-0_092075_2015-12-11_final
2015-12-11 09:30:34	ga_ls7e_ard_3-0-0_092076_2015-12-11_final
2015-12-11 09:30:58	ga_ls7e_ard_3-0-0_092077_2015-12-11_final
2015-12-11 09:31:22	ga_ls7e_ard_3-0-0_092078_2015-12-11_final
2015-12-11 09:31:46	ga_ls7e_ard_3-0-0_092079_2015-12-11_final
2015-12-11 09:32:10	ga_ls7e_ard_3-0-0_092080_2015-12-11_final
2015-12-11 09:32:33	ga_ls7e_ard_3-0-0_092081_2015-12-11_final
2015-12-11 09:32:57	ga_ls7e_ard_3-0-0_092082_2015-12-11_final
2015-12-11 09:33:21	ga_ls7e_ard_3-0-0_092083_2015-12-11_final
2015-12-11 09:33:45	ga_ls7e_ard_3-0-0_092084_2015-12-11_final
2015-12-11 09:34:09	ga_ls7e_ard_3-0-0_092085_2015-12-11_final
2015-12-11 09:34:33	ga_ls7e_ard_3-0-0_092086_2015-12-11_final
2015-12-11 09:35:21	ga_ls7e_ard_3-0-0_092088_2015-12-11_final
2015-12-11 09:35:45	ga_ls7e_ard_3-0-0_092089_2015-12-11_final
2015-12-12 10:10:15	ga_ls7e_ard_3-0-0_099067_2015-12-12_final
2015-12-12 10:10:39	ga_ls7e_ard_3-0-0_099068_2015-12-12_final
2015-12-12 10:11:03	ga_ls7e_ard_3-0-0_099069_2015-12-12_final

Return to ga_ls7e_ard_3 across December 2015 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

2015

December

All days