Search ga_ls8c_ard_3 across June 2014

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
2014-06-23 09:27:35	ga_ls8c_ard_3-0-0_092072_2014-06-22_final
2014-06-23 09:27:58	ga_ls8c_ard_3-0-0_092073_2014-06-22_final
2014-06-23 09:28:22	ga_ls8c_ard_3-1-0_092074_2014-06-22_final
2014-06-23 09:28:46	ga_ls8c_ard_3-0-0_092075_2014-06-22_final
2014-06-23 09:29:10	ga_ls8c_ard_3-0-0_092076_2014-06-22_final
2014-06-23 09:29:34	ga_ls8c_ard_3-0-0_092077_2014-06-22_final
2014-06-23 09:29:58	ga_ls8c_ard_3-0-0_092078_2014-06-22_final
2014-06-23 09:30:22	ga_ls8c_ard_3-0-0_092079_2014-06-23_final
2014-06-23 09:30:46	ga_ls8c_ard_3-0-0_092080_2014-06-23_final
2014-06-23 09:31:10	ga_ls8c_ard_3-0-0_092081_2014-06-23_final
2014-06-23 09:31:34	ga_ls8c_ard_3-0-0_092082_2014-06-23_final
2014-06-23 09:31:58	ga_ls8c_ard_3-0-0_092083_2014-06-23_final
2014-06-23 09:32:22	ga_ls8c_ard_3-0-0_092084_2014-06-23_final
2014-06-23 09:32:46	ga_ls8c_ard_3-0-0_092085_2014-06-23_final
2014-06-23 09:33:10	ga_ls8c_ard_3-0-0_092086_2014-06-23_final
2014-06-23 09:33:34	ga_ls8c_ard_3-0-0_092087_2014-06-23_final
2014-06-23 09:33:58	ga_ls8c_ard_3-0-0_092088_2014-06-23_final
2014-06-23 09:34:22	ga_ls8c_ard_3-0-0_092089_2014-06-23_final
2014-06-24 10:08:51	ga_ls8c_ard_3-0-0_099067_2014-06-24_final
2014-06-24 10:09:14	ga_ls8c_ard_3-0-0_099068_2014-06-24_final
2014-06-24 10:09:38	ga_ls8c_ard_3-0-0_099069_2014-06-24_final
2014-06-24 10:10:02	ga_ls8c_ard_3-0-0_099070_2014-06-24_final
2014-06-24 10:10:26	ga_ls8c_ard_3-0-0_099071_2014-06-24_final
2014-06-24 10:10:50	ga_ls8c_ard_3-0-0_099072_2014-06-24_final
2014-06-24 10:11:14	ga_ls8c_ard_3-0-0_099073_2014-06-24_final
2014-06-24 10:11:38	ga_ls8c_ard_3-0-0_099074_2014-06-24_final
2014-06-24 10:12:50	ga_ls8c_ard_3-0-0_099077_2014-06-24_final
2014-06-24 10:13:14	ga_ls8c_ard_3-0-0_099078_2014-06-24_final
2014-06-24 10:13:38	ga_ls8c_ard_3-0-0_099079_2014-06-24_final
2014-06-24 10:14:02	ga_ls8c_ard_3-0-0_099080_2014-06-24_final
2014-06-24 10:14:26	ga_ls8c_ard_3-0-0_099081_2014-06-24_final
2014-06-24 10:14:50	ga_ls8c_ard_3-0-0_099082_2014-06-24_final
2014-06-24 10:15:14	ga_ls8c_ard_3-0-0_099083_2014-06-24_final
2014-06-24 10:15:38	ga_ls8c_ard_3-0-0_099084_2014-06-24_final
2014-06-25 09:16:25	ga_ls8c_ard_3-0-0_090075_2014-06-24_final
2014-06-25 09:16:49	ga_ls8c_ard_3-0-0_090076_2014-06-24_final
2014-06-25 09:17:12	ga_ls8c_ard_3-0-0_090077_2014-06-24_final
2014-06-25 09:17:36	ga_ls8c_ard_3-0-0_090078_2014-06-24_final
2014-06-25 09:18:00	ga_ls8c_ard_3-0-0_090079_2014-06-24_final
2014-06-25 09:18:24	ga_ls8c_ard_3-0-0_090080_2014-06-24_final
2014-06-25 09:18:48	ga_ls8c_ard_3-0-0_090081_2014-06-24_final
2014-06-25 09:19:12	ga_ls8c_ard_3-0-0_090082_2014-06-24_final
2014-06-25 09:19:36	ga_ls8c_ard_3-0-0_090083_2014-06-24_final
2014-06-25 09:20:00	ga_ls8c_ard_3-0-0_090084_2014-06-24_final
2014-06-25 09:20:24	ga_ls8c_ard_3-0-0_090085_2014-06-24_final
2014-06-25 09:20:48	ga_ls8c_ard_3-0-0_090086_2014-06-24_final
2014-06-25 09:21:12	ga_ls8c_ard_3-0-0_090087_2014-06-24_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2014-06-25 09:22:00	ga_ls8c_ard_3-0-0_090089_2014-06-24_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2014-06-25 10:52:06	ga_ls8c_ard_3-0-0_106067_2014-06-25_final
2014-06-25 10:52:30	ga_ls8c_ard_3-0-0_106068_2014-06-25_final
2014-06-25 10:52:54	ga_ls8c_ard_3-0-0_106069_2014-06-25_final
2014-06-25 10:53:18	ga_ls8c_ard_3-0-0_106070_2014-06-25_final
2014-06-25 10:53:42	ga_ls8c_ard_3-0-0_106071_2014-06-25_final
2014-06-25 10:54:06	ga_ls8c_ard_3-0-0_106072_2014-06-25_final
2014-06-25 10:54:30	ga_ls8c_ard_3-0-0_106073_2014-06-25_final
2014-06-25 10:54:54	ga_ls8c_ard_3-0-0_106074_2014-06-25_final
2014-06-25 10:55:18	ga_ls8c_ard_3-0-0_106075_2014-06-25_final
2014-06-25 10:55:42	ga_ls8c_ard_3-0-0_106076_2014-06-25_final
2014-06-25 10:56:05	ga_ls8c_ard_3-0-0_106077_2014-06-25_final
2014-06-25 10:56:29	ga_ls8c_ard_3-0-0_106078_2014-06-25_final
2014-06-25 10:56:53	ga_ls8c_ard_3-0-0_106079_2014-06-25_final
2014-06-25 10:57:17	ga_ls8c_ard_3-0-0_106080_2014-06-25_final
2014-06-25 10:57:41	ga_ls8c_ard_3-0-0_106081_2014-06-25_final
2014-06-30 09:33:24	ga_ls8c_ard_3-0-0_093071_2014-06-30_final
2014-06-30 09:33:48	ga_ls8c_ard_3-0-0_093072_2014-06-30_final
2014-06-30 09:34:12	ga_ls8c_ard_3-0-0_093073_2014-06-30_final
2014-06-30 09:34:36	ga_ls8c_ard_3-0-0_093074_2014-06-30_final
2014-06-30 09:34:59	ga_ls8c_ard_3-0-0_093075_2014-06-30_final
2014-06-30 09:35:23	ga_ls8c_ard_3-0-0_093076_2014-06-30_final
2014-06-30 09:35:47	ga_ls8c_ard_3-0-0_093077_2014-06-30_final
2014-06-30 09:36:11	ga_ls8c_ard_3-0-0_093078_2014-06-30_final
2014-06-30 09:36:35	ga_ls8c_ard_3-0-0_093079_2014-06-30_final
2014-06-30 09:36:59	ga_ls8c_ard_3-0-0_093080_2014-06-30_final
2014-06-30 09:37:23	ga_ls8c_ard_3-0-0_093081_2014-06-30_final
2014-06-30 09:37:47	ga_ls8c_ard_3-0-0_093082_2014-06-30_final
2014-06-30 09:38:11	ga_ls8c_ard_3-0-0_093083_2014-06-30_final
2014-06-30 09:38:35	ga_ls8c_ard_3-0-0_093084_2014-06-30_final
2014-06-30 09:38:59	ga_ls8c_ard_3-0-0_093085_2014-06-30_final
2014-06-30 09:39:23	ga_ls8c_ard_3-0-0_093086_2014-06-30_final
2014-06-30 09:39:47	ga_ls8c_ard_3-0-0_093087_2014-06-30_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-06-30 11:10:41	ga_ls8c_ard_3-0-0_109067_2014-06-30_final
2014-06-30 11:11:05	ga_ls8c_ard_3-0-0_109068_2014-06-30_final
2014-06-30 11:11:29	ga_ls8c_ard_3-0-0_109069_2014-06-30_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-06-30 11:12:17	ga_ls8c_ard_3-0-0_109071_2014-06-30_final
2014-06-30 11:12:41	ga_ls8c_ard_3-0-0_109072_2014-06-30_final
2014-06-30 11:13:05	ga_ls8c_ard_3-0-0_109073_2014-06-30_final
2014-06-30 11:13:29	ga_ls8c_ard_3-0-0_109074_2014-06-30_final
2014-06-30 11:13:53	ga_ls8c_ard_3-0-0_109075_2014-06-30_final
2014-06-30 11:14:16	ga_ls8c_ard_3-0-0_109076_2014-06-30_final
2014-06-30 11:14:40	ga_ls8c_ard_3-0-0_109077_2014-06-30_final
2014-06-30 11:15:04	ga_ls8c_ard_3-0-0_109078_2014-06-30_final
2014-06-30 11:15:28	ga_ls8c_ard_3-0-0_109079_2014-06-30_final
2014-06-30 11:15:52	ga_ls8c_ard_3-0-0_109080_2014-06-30_final
2014-06-30 11:16:16	ga_ls8c_ard_3-0-0_109081_2014-06-30_final
2014-06-30 11:16:40	ga_ls8c_ard_3-0-0_109082_2014-06-30_final
2014-06-30 11:17:04	ga_ls8c_ard_3-0-0_109083_2014-06-30_final

Return to ga_ls8c_ard_3 across June 2014 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

2014

June

All days