Search ga_ls8c_ard_3 whole collection

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
2021-12-05 10:56:45	ga_ls8c_ard_3-2-1_106077_2021-12-05_final
2021-12-05 10:57:56	ga_ls8c_ard_3-2-1_106080_2021-12-05_final
2021-12-05 10:59:08	ga_ls8c_ard_3-2-1_106083_2021-12-05_final
2021-12-06 09:59:55	ga_ls8c_ard_3-2-1_097074_2021-12-06_final
2021-12-06 11:38:01	ga_ls8c_ard_3-2-1_113072_2021-12-06_final
2021-12-06 11:38:25	ga_ls8c_ard_3-2-1_113073_2021-12-06_final
2021-12-06 11:38:48	ga_ls8c_ard_3-2-1_113074_2021-12-06_final
2021-12-06 11:40:00	ga_ls8c_ard_3-2-1_113077_2021-12-06_final
2021-12-06 11:40:24	ga_ls8c_ard_3-2-1_113078_2021-12-06_final
2021-12-06 11:40:48	ga_ls8c_ard_3-2-1_113079_2021-12-06_final
2021-12-06 11:41:12	ga_ls8c_ard_3-2-1_113080_2021-12-06_final
2021-12-06 11:41:36	ga_ls8c_ard_3-2-1_113081_2021-12-06_final
2021-12-06 11:42:00	ga_ls8c_ard_3-2-1_113082_2021-12-06_final
2021-12-06 11:42:24	ga_ls8c_ard_3-2-1_113083_2021-12-06_final
2021-12-07 09:06:42	ga_ls8c_ard_3-2-1_088080_2021-12-06_final
2021-12-07 09:07:06	ga_ls8c_ard_3-2-1_088081_2021-12-06_final
2021-12-07 09:07:30	ga_ls8c_ard_3-2-1_088082_2021-12-06_final
2021-12-07 09:07:54	ga_ls8c_ard_3-2-1_088083_2021-12-06_final
2021-12-07 10:40:47	ga_ls8c_ard_3-2-1_104068_2021-12-07_final
2021-12-07 10:41:11	ga_ls8c_ard_3-2-1_104069_2021-12-07_final
2021-12-07 10:42:47	ga_ls8c_ard_3-2-1_104073_2021-12-07_final
2021-12-07 10:43:35	ga_ls8c_ard_3-2-1_104075_2021-12-07_final
2021-12-07 10:43:59	ga_ls8c_ard_3-2-1_104076_2021-12-07_final
2021-12-07 10:45:59	ga_ls8c_ard_3-2-1_104081_2021-12-07_final
2021-12-08 09:46:22	ga_ls8c_ard_3-2-1_095071_2021-12-08_final
2021-12-08 09:46:46	ga_ls8c_ard_3-2-1_095072_2021-12-08_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-08 09:47:34	ga_ls8c_ard_3-2-1_095074_2021-12-08_final
2021-12-08 09:47:58	ga_ls8c_ard_3-2-1_095075_2021-12-08_final
2021-12-08 09:48:22	ga_ls8c_ard_3-2-1_095076_2021-12-08_final
2021-12-08 09:48:45	ga_ls8c_ard_3-2-1_095077_2021-12-08_final
2021-12-08 09:49:09	ga_ls8c_ard_3-2-1_095078_2021-12-08_final
2021-12-08 09:49:33	ga_ls8c_ard_3-2-1_095079_2021-12-08_final
2021-12-08 09:49:57	ga_ls8c_ard_3-2-1_095080_2021-12-08_final
2021-12-08 09:50:21	ga_ls8c_ard_3-2-1_095081_2021-12-08_final
2021-12-08 09:50:45	ga_ls8c_ard_3-2-1_095082_2021-12-08_final
2021-12-08 09:51:09	ga_ls8c_ard_3-2-1_095083_2021-12-08_final
2021-12-08 09:51:33	ga_ls8c_ard_3-2-1_095084_2021-12-08_final
2021-12-08 09:51:57	ga_ls8c_ard_3-2-1_095085_2021-12-08_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-08 11:24:27	ga_ls8c_ard_3-2-1_111069_2021-12-08_final
2021-12-08 11:24:51	ga_ls8c_ard_3-2-1_111070_2021-12-08_final
2021-12-08 11:25:15	ga_ls8c_ard_3-2-1_111071_2021-12-08_final
2021-12-08 11:25:39	ga_ls8c_ard_3-2-1_111072_2021-12-08_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2021-12-08 11:26:27	ga_ls8c_ard_3-2-1_111074_2021-12-08_final
2021-12-08 11:26:51	ga_ls8c_ard_3-2-1_111075_2021-12-08_final
2021-12-08 11:27:15	ga_ls8c_ard_3-2-1_111076_2021-12-08_final
2021-12-08 11:27:39	ga_ls8c_ard_3-2-1_111077_2021-12-08_final
2021-12-08 11:28:02	ga_ls8c_ard_3-2-1_111078_2021-12-08_final
2021-12-08 11:28:26	ga_ls8c_ard_3-2-1_111079_2021-12-08_final
2021-12-08 11:28:50	ga_ls8c_ard_3-2-1_111080_2021-12-08_final
2021-12-08 11:29:14	ga_ls8c_ard_3-2-1_111081_2021-12-08_final
2021-12-08 11:29:38	ga_ls8c_ard_3-2-1_111082_2021-12-08_final
2021-12-08 11:30:02	ga_ls8c_ard_3-2-1_111083_2021-12-08_final
2021-12-08 11:30:26	ga_ls8c_ard_3-2-1_111084_2021-12-08_final
2021-12-09 10:29:37	ga_ls8c_ard_3-2-1_102071_2021-12-09_final
2021-12-09 10:30:49	ga_ls8c_ard_3-2-1_102074_2021-12-09_final
2021-12-09 10:32:25	ga_ls8c_ard_3-2-1_102078_2021-12-09_final
2021-12-09 10:32:49	ga_ls8c_ard_3-2-1_102079_2021-12-09_final
2021-12-10 09:34:00	ga_ls8c_ard_3-2-1_093071_2021-12-10_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2021-12-10 09:35:12	ga_ls8c_ard_3-2-1_093074_2021-12-10_final
2021-12-10 09:35:36	ga_ls8c_ard_3-2-1_093075_2021-12-10_final
2021-12-10 09:36:00	ga_ls8c_ard_3-2-1_093076_2021-12-10_final
2021-12-10 09:36:24	ga_ls8c_ard_3-2-1_093077_2021-12-10_final
2021-12-10 09:36:48	ga_ls8c_ard_3-2-1_093078_2021-12-10_final
2021-12-10 09:37:12	ga_ls8c_ard_3-2-1_093079_2021-12-10_final
2021-12-10 09:37:35	ga_ls8c_ard_3-2-1_093080_2021-12-10_final
2021-12-10 09:37:59	ga_ls8c_ard_3-2-1_093081_2021-12-10_final
2021-12-10 09:38:23	ga_ls8c_ard_3-2-1_093082_2021-12-10_final
2021-12-10 09:38:47	ga_ls8c_ard_3-2-1_093083_2021-12-10_final
2021-12-10 09:39:11	ga_ls8c_ard_3-2-1_093084_2021-12-10_final
2021-12-10 09:39:35	ga_ls8c_ard_3-2-1_093085_2021-12-10_final
2021-12-10 09:39:59	ga_ls8c_ard_3-2-1_093086_2021-12-10_final
2021-12-10 09:40:23	ga_ls8c_ard_3-2-1_093087_2021-12-10_final
2021-12-10 09:40:47	ga_ls8c_ard_3-2-1_093088_2021-12-10_final
2021-12-10 11:12:29	ga_ls8c_ard_3-2-1_109070_2021-12-10_final
2021-12-10 11:12:53	ga_ls8c_ard_3-2-1_109071_2021-12-10_final
2021-12-10 11:13:41	ga_ls8c_ard_3-2-1_109073_2021-12-10_final
2021-12-10 11:14:29	ga_ls8c_ard_3-2-1_109075_2021-12-10_final
2021-12-10 11:14:53	ga_ls8c_ard_3-2-1_109076_2021-12-10_final
2021-12-10 11:15:17	ga_ls8c_ard_3-2-1_109077_2021-12-10_final
2021-12-10 11:15:41	ga_ls8c_ard_3-2-1_109078_2021-12-10_final
2021-12-10 11:16:05	ga_ls8c_ard_3-2-1_109079_2021-12-10_final
2021-12-10 11:16:29	ga_ls8c_ard_3-2-1_109080_2021-12-10_final
2021-12-10 11:16:52	ga_ls8c_ard_3-2-1_109081_2021-12-10_final
2021-12-10 11:17:16	ga_ls8c_ard_3-2-1_109082_2021-12-10_final
2021-12-10 11:17:40	ga_ls8c_ard_3-2-1_109083_2021-12-10_final
2021-12-10 11:18:04	ga_ls8c_ard_3-2-1_109084_2021-12-10_final
2021-12-11 10:17:16	ga_ls8c_ard_3-2-1_100071_2021-12-11_final
2021-12-11 10:17:40	ga_ls8c_ard_3-2-1_100072_2021-12-11_final
2021-12-11 10:18:03	ga_ls8c_ard_3-2-1_100073_2021-12-11_final
2021-12-11 10:20:03	ga_ls8c_ard_3-2-1_100078_2021-12-11_final
2021-12-11 10:20:51	ga_ls8c_ard_3-2-1_100080_2021-12-11_final
2021-12-11 10:21:39	ga_ls8c_ard_3-2-1_100082_2021-12-11_final
2021-12-11 10:22:03	ga_ls8c_ard_3-2-1_100083_2021-12-11_final
2021-12-11 11:58:08	ga_ls8c_ard_3-2-1_116076_2021-12-11_final
2021-12-11 11:58:32	ga_ls8c_ard_3-2-1_116077_2021-12-11_final

Return to ga_ls8c_ard_3 whole collection 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

All years