Search ga_ls8c_ard_3 across March 2017

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
2017-03-18 09:31:44	ga_ls8c_ard_3-0-0_093067_2017-03-18_final
2017-03-18 09:32:08	ga_ls8c_ard_3-0-0_093068_2017-03-18_final
2017-03-18 09:33:20	ga_ls8c_ard_3-0-0_093071_2017-03-18_final
2017-03-18 09:33:44	ga_ls8c_ard_3-0-0_093072_2017-03-18_final
2017-03-20 09:19:45	ga_ls8c_ard_3-0-0_091068_2017-03-19_final
2017-03-20 09:21:21	ga_ls8c_ard_3-0-0_091072_2017-03-19_final
2017-03-20 09:21:45	ga_ls8c_ard_3-0-0_091073_2017-03-19_final
2017-03-20 09:22:09	ga_ls8c_ard_3-0-0_091074_2017-03-19_final
2017-03-20 09:22:33	ga_ls8c_ard_3-0-0_091075_2017-03-19_final
2017-03-20 09:22:57	ga_ls8c_ard_3-0-0_091076_2017-03-19_final
2017-03-20 09:23:21	ga_ls8c_ard_3-0-0_091077_2017-03-19_final
2017-03-20 09:23:45	ga_ls8c_ard_3-0-0_091078_2017-03-19_final
2017-03-20 09:24:09	ga_ls8c_ard_3-0-0_091079_2017-03-19_final
2017-03-20 09:24:33	ga_ls8c_ard_3-0-0_091080_2017-03-19_final
2017-03-20 09:24:57	ga_ls8c_ard_3-0-0_091081_2017-03-19_final
2017-03-20 09:25:20	ga_ls8c_ard_3-0-0_091082_2017-03-19_final
2017-03-20 09:25:44	ga_ls8c_ard_3-0-0_091083_2017-03-19_final
2017-03-20 09:26:08	ga_ls8c_ard_3-0-0_091084_2017-03-19_final
2017-03-20 09:26:32	ga_ls8c_ard_3-0-0_091085_2017-03-19_final
2017-03-20 09:26:56	ga_ls8c_ard_3-0-0_091086_2017-03-19_final
2017-03-20 09:27:20	ga_ls8c_ard_3-0-0_091087_2017-03-19_final
2017-03-20 09:27:44	ga_ls8c_ard_3-0-0_091088_2017-03-19_final
2017-03-20 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-03-19_final
2017-03-20 09:28:32	ga_ls8c_ard_3-0-0_091090_2017-03-19_final
2017-03-20 09:28:56	ga_ls8c_ard_3-0-0_091091_2017-03-19_final
2017-03-20 10:58:14	ga_ls8c_ard_3-0-0_107067_2017-03-20_final
2017-03-20 10:58:38	ga_ls8c_ard_3-0-0_107068_2017-03-20_final
2017-03-20 10:59:02	ga_ls8c_ard_3-0-0_107069_2017-03-20_final
2017-03-20 10:59:26	ga_ls8c_ard_3-0-0_107070_2017-03-20_final
2017-03-20 10:59:50	ga_ls8c_ard_3-0-0_107071_2017-03-20_final
2017-03-20 11:00:14	ga_ls8c_ard_3-0-0_107072_2017-03-20_final
2017-03-20 11:00:38	ga_ls8c_ard_3-0-0_107073_2017-03-20_final
2017-03-20 11:01:02	ga_ls8c_ard_3-0-0_107074_2017-03-20_final
2017-03-20 11:01:26	ga_ls8c_ard_3-0-0_107075_2017-03-20_final
2017-03-20 11:01:50	ga_ls8c_ard_3-0-0_107076_2017-03-20_final
2017-03-20 11:02:14	ga_ls8c_ard_3-0-0_107077_2017-03-20_final
2017-03-20 11:02:38	ga_ls8c_ard_3-0-0_107078_2017-03-20_final
2017-03-20 11:03:02	ga_ls8c_ard_3-0-0_107079_2017-03-20_final
2017-03-20 11:03:26	ga_ls8c_ard_3-0-0_107080_2017-03-20_final
2017-03-20 11:03:49	ga_ls8c_ard_3-0-0_107081_2017-03-20_final
2017-03-20 11:04:13	ga_ls8c_ard_3-1-0_107082_2017-03-20_final
2017-03-20 11:04:37	ga_ls8c_ard_3-0-0_107083_2017-03-20_final
2017-03-20 11:05:01	ga_ls8c_ard_3-0-0_107084_2017-03-20_final
2017-03-20 11:05:25	ga_ls8c_ard_3-0-0_107085_2017-03-20_final
2017-03-30 09:56:22	ga_ls8c_ard_3-0-0_097067_2017-03-30_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-03-30 09:57:09	ga_ls8c_ard_3-0-0_097069_2017-03-30_final
2017-03-30 09:57:33	ga_ls8c_ard_3-0-0_097070_2017-03-30_final
2017-03-30 09:57:57	ga_ls8c_ard_3-0-0_097071_2017-03-30_final
2017-03-30 09:58:21	ga_ls8c_ard_3-0-0_097072_2017-03-30_final
2017-03-30 09:58:45	ga_ls8c_ard_3-0-0_097073_2017-03-30_final
2017-03-30 09:59:09	ga_ls8c_ard_3-0-0_097074_2017-03-30_final
2017-03-30 09:59:33	ga_ls8c_ard_3-0-0_097075_2017-03-30_final
2017-03-30 09:59:57	ga_ls8c_ard_3-0-0_097076_2017-03-30_final
2017-03-30 10:00:21	ga_ls8c_ard_3-0-0_097077_2017-03-30_final
2017-03-30 10:00:45	ga_ls8c_ard_3-0-0_097078_2017-03-30_final
2017-03-30 10:01:09	ga_ls8c_ard_3-0-0_097079_2017-03-30_final
2017-03-30 10:01:33	ga_ls8c_ard_3-0-0_097080_2017-03-30_final
2017-03-30 10:01:57	ga_ls8c_ard_3-0-0_097081_2017-03-30_final
2017-03-30 10:02:21	ga_ls8c_ard_3-0-0_097082_2017-03-30_final
2017-03-30 10:02:45	ga_ls8c_ard_3-0-0_097083_2017-03-30_final
2017-03-30 10:03:08	ga_ls8c_ard_3-0-0_097084_2017-03-30_final
2017-03-30 10:03:32	ga_ls8c_ard_3-0-0_097085_2017-03-30_final
2017-03-30 10:03:56	ga_ls8c_ard_3-0-0_097086_2017-03-30_final
2017-03-30 11:35:15	ga_ls8c_ard_3-0-0_113067_2017-03-30_final
2017-03-30 11:37:14	ga_ls8c_ard_3-0-0_113072_2017-03-30_final
2017-03-30 11:37:38	ga_ls8c_ard_3-0-0_113073_2017-03-30_final
2017-03-30 11:38:02	ga_ls8c_ard_3-0-0_113074_2017-03-30_final
2017-03-30 11:38:26	ga_ls8c_ard_3-0-0_113075_2017-03-30_final
2017-03-30 11:38:50	ga_ls8c_ard_3-0-0_113076_2017-03-30_final
2017-03-30 11:39:14	ga_ls8c_ard_3-0-0_113077_2017-03-30_final
2017-03-30 11:39:38	ga_ls8c_ard_3-0-0_113078_2017-03-30_final
2017-03-30 11:40:02	ga_ls8c_ard_3-0-0_113079_2017-03-30_final
2017-03-30 11:40:26	ga_ls8c_ard_3-0-0_113080_2017-03-30_final
2017-03-30 11:40:50	ga_ls8c_ard_3-0-0_113081_2017-03-30_final
2017-03-30 11:41:14	ga_ls8c_ard_3-0-0_113082_2017-03-30_final
2017-03-30 11:41:38	ga_ls8c_ard_3-0-0_113083_2017-03-30_final
2017-03-30 11:42:02	ga_ls8c_ard_3-0-0_113084_2017-03-30_final
2017-03-31 09:05:31	ga_ls8c_ard_3-0-0_088079_2017-03-30_final
2017-03-31 09:05:55	ga_ls8c_ard_3-0-0_088080_2017-03-30_final
2017-03-31 09:06:19	ga_ls8c_ard_3-1-0_088081_2017-03-30_final
2017-03-31 09:06:43	ga_ls8c_ard_3-0-0_088082_2017-03-30_final
2017-03-31 09:07:07	ga_ls8c_ard_3-0-0_088083_2017-03-30_final
2017-03-31 09:07:31	ga_ls8c_ard_3-0-0_088084_2017-03-30_final
2017-03-31 10:39:37	ga_ls8c_ard_3-0-0_104067_2017-03-31_final
2017-03-31 10:40:01	ga_ls8c_ard_3-0-0_104068_2017-03-31_final
2017-03-31 10:40:25	ga_ls8c_ard_3-0-0_104069_2017-03-31_final
2017-03-31 10:40:49	ga_ls8c_ard_3-0-0_104070_2017-03-31_final
2017-03-31 10:41:13	ga_ls8c_ard_3-0-0_104071_2017-03-31_final
2017-03-31 10:41:36	ga_ls8c_ard_3-0-0_104072_2017-03-31_final
2017-03-31 10:42:00	ga_ls8c_ard_3-0-0_104073_2017-03-31_final
2017-03-31 10:42:24	ga_ls8c_ard_3-0-0_104074_2017-03-31_final
2017-03-31 10:42:48	ga_ls8c_ard_3-0-0_104075_2017-03-31_final
2017-03-31 10:43:12	ga_ls8c_ard_3-0-0_104076_2017-03-31_final
2017-03-31 10:43:36	ga_ls8c_ard_3-1-0_104077_2017-03-31_final
2017-03-31 10:44:00	ga_ls8c_ard_3-0-0_104078_2017-03-31_final
2017-03-31 10:44:24	ga_ls8c_ard_3-0-0_104079_2017-03-31_final
2017-03-31 10:44:48	ga_ls8c_ard_3-0-0_104080_2017-03-31_final
2017-03-31 10:45:12	ga_ls8c_ard_3-0-0_104081_2017-03-31_final
2017-03-31 10:45:36	ga_ls8c_ard_3-0-0_104082_2017-03-31_final

Return to ga_ls8c_ard_3 across March 2017 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2017

March

All days