Search ga_ls8c_ard_3 across November 2020

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
2020-11-15 10:11:00	ga_ls8c_ard_3-1-0_099071_2020-11-15_final
2020-11-15 10:11:24	ga_ls8c_ard_3-1-0_099072_2020-11-15_final
2020-11-15 10:11:48	ga_ls8c_ard_3-1-0_099073_2020-11-15_final
2020-11-15 10:12:12	ga_ls8c_ard_3-1-0_099074_2020-11-15_final
2020-11-15 10:12:36	ga_ls8c_ard_3-1-0_099075_2020-11-15_final
2020-11-15 10:13:00	ga_ls8c_ard_3-1-0_099076_2020-11-15_final
2020-11-15 10:13:24	ga_ls8c_ard_3-1-0_099077_2020-11-15_final
2020-11-15 10:13:48	ga_ls8c_ard_3-1-0_099078_2020-11-15_final
2020-11-15 10:14:12	ga_ls8c_ard_3-1-0_099079_2020-11-15_final
2020-11-15 10:14:36	ga_ls8c_ard_3-1-0_099080_2020-11-15_final
2020-11-15 10:15:00	ga_ls8c_ard_3-1-0_099081_2020-11-15_final
2020-11-15 10:15:24	ga_ls8c_ard_3-1-0_099082_2020-11-15_final
2020-11-15 10:15:48	ga_ls8c_ard_3-1-0_099083_2020-11-15_final
2020-11-15 10:16:12	ga_ls8c_ard_3-1-0_099084_2020-11-15_final
2020-11-15 10:16:36	ga_ls8c_ard_3-1-0_099085_2020-11-15_final
2020-11-15 11:50:41	ga_ls8c_ard_3-1-0_115073_2020-11-15_final
2020-11-15 11:51:05	ga_ls8c_ard_3-1-0_115074_2020-11-15_final
2020-11-15 11:51:29	ga_ls8c_ard_3-1-0_115075_2020-11-15_final
2020-11-15 11:51:53	ga_ls8c_ard_3-1-0_115076_2020-11-15_final
2020-11-15 11:52:17	ga_ls8c_ard_3-1-0_115077_2020-11-15_final
2020-11-15 11:52:41	ga_ls8c_ard_3-1-0_115078_2020-11-15_final
2020-11-15 11:53:05	ga_ls8c_ard_3-1-0_115079_2020-11-15_final
2020-11-15 11:53:29	ga_ls8c_ard_3-1-0_115080_2020-11-15_final
2020-11-16 09:16:35	ga_ls8c_ard_3-1-0_090074_2020-11-15_final
2020-11-16 09:16:59	ga_ls8c_ard_3-1-0_090075_2020-11-15_final
2020-11-16 09:17:23	ga_ls8c_ard_3-1-0_090076_2020-11-15_final
2020-11-16 09:17:47	ga_ls8c_ard_3-1-0_090077_2020-11-15_final
2020-11-16 09:18:11	ga_ls8c_ard_3-1-0_090078_2020-11-15_final
2020-11-16 09:18:35	ga_ls8c_ard_3-1-0_090079_2020-11-15_final
2020-11-16 09:18:59	ga_ls8c_ard_3-1-0_090080_2020-11-15_final
2020-11-16 09:19:23	ga_ls8c_ard_3-1-0_090081_2020-11-15_final
2020-11-16 09:19:47	ga_ls8c_ard_3-1-0_090082_2020-11-15_final
2020-11-16 09:20:11	ga_ls8c_ard_3-1-0_090083_2020-11-15_final
2020-11-16 09:20:35	ga_ls8c_ard_3-1-0_090084_2020-11-15_final
2020-11-16 09:20:59	ga_ls8c_ard_3-1-0_090085_2020-11-15_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-16 09:21:47	ga_ls8c_ard_3-1-0_090087_2020-11-15_final
2020-11-16 09:22:11	ga_ls8c_ard_3-1-0_090088_2020-11-15_final
2020-11-16 09:22:35	ga_ls8c_ard_3-1-0_090089_2020-11-15_final
2020-11-16 09:22:59	ga_ls8c_ard_3-1-0_090090_2020-11-15_final
2020-11-16 09:23:22	ga_ls8c_ard_3-1-0_090091_2020-11-15_final
2020-11-16 10:52:41	ga_ls8c_ard_3-1-0_106067_2020-11-16_final
2020-11-16 10:53:05	ga_ls8c_ard_3-1-0_106068_2020-11-16_final
2020-11-16 10:53:29	ga_ls8c_ard_3-1-0_106069_2020-11-16_final
2020-11-16 10:53:53	ga_ls8c_ard_3-1-0_106070_2020-11-16_final
2020-11-16 10:54:17	ga_ls8c_ard_3-1-0_106071_2020-11-16_final
2020-11-16 10:54:40	ga_ls8c_ard_3-1-0_106072_2020-11-16_final
2020-11-16 10:55:04	ga_ls8c_ard_3-1-0_106073_2020-11-16_final
2020-11-16 10:55:28	ga_ls8c_ard_3-1-0_106074_2020-11-16_final
2020-11-16 10:55:52	ga_ls8c_ard_3-1-0_106075_2020-11-16_final
2020-11-16 10:56:16	ga_ls8c_ard_3-1-0_106076_2020-11-16_final
2020-11-16 10:56:40	ga_ls8c_ard_3-1-0_106077_2020-11-16_final
2020-11-16 10:57:04	ga_ls8c_ard_3-1-0_106078_2020-11-16_final
2020-11-16 10:57:28	ga_ls8c_ard_3-1-0_106079_2020-11-16_final
2020-11-16 10:57:52	ga_ls8c_ard_3-1-0_106080_2020-11-16_final
2020-11-16 10:58:16	ga_ls8c_ard_3-1-0_106081_2020-11-16_final
2020-11-16 10:58:40	ga_ls8c_ard_3-1-0_106082_2020-11-16_final
2020-11-16 10:59:04	ga_ls8c_ard_3-1-0_106083_2020-11-16_final
2020-11-16 10:59:28	ga_ls8c_ard_3-1-0_106084_2020-11-16_final
2020-11-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2020-11-16_final
2020-11-17 09:57:04	ga_ls8c_ard_3-1-0_097067_2020-11-17_final
2020-11-17 09:57:28	ga_ls8c_ard_3-1-0_097068_2020-11-17_final
2020-11-17 09:57:52	ga_ls8c_ard_3-1-0_097069_2020-11-17_final
2020-11-17 09:58:16	ga_ls8c_ard_3-1-0_097070_2020-11-17_final
2020-11-17 09:58:40	ga_ls8c_ard_3-1-0_097071_2020-11-17_final
2020-11-17 09:59:03	ga_ls8c_ard_3-1-0_097072_2020-11-17_final
2020-11-17 09:59:27	ga_ls8c_ard_3-1-0_097073_2020-11-17_final
2020-11-17 09:59:51	ga_ls8c_ard_3-1-0_097074_2020-11-17_final
2020-11-17 10:00:15	ga_ls8c_ard_3-1-0_097075_2020-11-17_final
2020-11-17 10:00:39	ga_ls8c_ard_3-1-0_097076_2020-11-17_final
2020-11-17 10:01:03	ga_ls8c_ard_3-1-0_097077_2020-11-17_final
2020-11-17 10:01:27	ga_ls8c_ard_3-1-0_097078_2020-11-17_final
2020-11-17 10:01:51	ga_ls8c_ard_3-1-0_097079_2020-11-17_final
2020-11-17 10:02:15	ga_ls8c_ard_3-1-0_097080_2020-11-17_final
2020-11-17 10:02:39	ga_ls8c_ard_3-1-0_097081_2020-11-17_final
2020-11-17 10:03:03	ga_ls8c_ard_3-1-0_097082_2020-11-17_final
2020-11-17 10:03:27	ga_ls8c_ard_3-1-0_097083_2020-11-17_final
2020-11-17 10:03:51	ga_ls8c_ard_3-1-0_097084_2020-11-17_final
2020-11-17 10:04:15	ga_ls8c_ard_3-1-0_097085_2020-11-17_final
2020-11-17 10:04:39	ga_ls8c_ard_3-1-0_097086_2020-11-17_final
2020-11-17 11:35:57	ga_ls8c_ard_3-1-0_113067_2020-11-17_final
2020-11-22 10:16:02	ga_ls8c_ard_3-1-0_100068_2020-11-22_final
2020-11-22 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-11-22_final
2020-11-22 10:16:50	ga_ls8c_ard_3-1-0_100070_2020-11-22_final
2020-11-22 10:17:13	ga_ls8c_ard_3-1-0_100071_2020-11-22_final
2020-11-22 10:17:37	ga_ls8c_ard_3-1-0_100072_2020-11-22_final
2020-11-22 10:18:01	ga_ls8c_ard_3-1-0_100073_2020-11-22_final
2020-11-22 10:18:25	ga_ls8c_ard_3-1-0_100074_2020-11-22_final
2020-11-22 10:18:49	ga_ls8c_ard_3-1-0_100075_2020-11-22_final
2020-11-22 10:19:13	ga_ls8c_ard_3-1-0_100076_2020-11-22_final
2020-11-22 10:19:37	ga_ls8c_ard_3-1-0_100077_2020-11-22_final
2020-11-22 10:20:01	ga_ls8c_ard_3-1-0_100078_2020-11-22_final
2020-11-22 10:20:25	ga_ls8c_ard_3-1-0_100079_2020-11-22_final
2020-11-22 10:20:49	ga_ls8c_ard_3-1-0_100080_2020-11-22_final
2020-11-22 10:21:37	ga_ls8c_ard_3-1-0_100082_2020-11-22_final
2020-11-22 10:22:01	ga_ls8c_ard_3-1-0_100083_2020-11-22_final
2020-11-22 10:22:25	ga_ls8c_ard_3-1-0_100084_2020-11-22_final
2020-11-22 10:22:49	ga_ls8c_ard_3-1-0_100085_2020-11-22_final
2020-11-22 11:57:18	ga_ls8c_ard_3-1-0_116074_2020-11-22_final
2020-11-22 11:58:30	ga_ls8c_ard_3-1-0_116077_2020-11-22_final

Return to ga_ls8c_ard_3 across November 2020 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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2020

November

All days