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
2020-06-07 09:25:50	ga_ls8c_ard_3-1-0_092068_2020-06-06_final
2020-06-07 09:29:25	ga_ls8c_ard_3-1-0_092077_2020-06-06_final
2020-06-07 09:31:25	ga_ls8c_ard_3-1-0_092082_2020-06-07_final
2020-06-07 09:33:01	ga_ls8c_ard_3-1-0_092086_2020-06-07_final
2020-06-07 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-06-07_final
2020-06-08 10:09:30	ga_ls8c_ard_3-1-0_099069_2020-06-08_final
2020-06-08 10:10:18	ga_ls8c_ard_3-1-0_099071_2020-06-08_final
2020-06-08 10:10:42	ga_ls8c_ard_3-1-0_099072_2020-06-08_final
2020-06-08 10:11:06	ga_ls8c_ard_3-1-0_099073_2020-06-08_final
2020-06-08 10:11:30	ga_ls8c_ard_3-1-0_099074_2020-06-08_final
2020-06-08 10:12:18	ga_ls8c_ard_3-1-0_099076_2020-06-08_final
2020-06-08 10:14:17	ga_ls8c_ard_3-1-0_099081_2020-06-08_final
2020-06-08 10:15:05	ga_ls8c_ard_3-1-0_099083_2020-06-08_final
2020-06-08 10:15:29	ga_ls8c_ard_3-1-0_099084_2020-06-08_final
2020-06-09 09:17:29	ga_ls8c_ard_3-1-0_090078_2020-06-08_final
2020-06-09 09:18:41	ga_ls8c_ard_3-1-0_090081_2020-06-08_final
2020-06-09 09:20:40	ga_ls8c_ard_3-1-0_090086_2020-06-08_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2020-06-09 10:51:59	ga_ls8c_ard_3-1-0_106067_2020-06-09_final
2020-06-09 10:52:23	ga_ls8c_ard_3-1-0_106068_2020-06-09_final
2020-06-09 10:53:34	ga_ls8c_ard_3-1-0_106071_2020-06-09_final
2020-06-10 09:59:33	ga_ls8c_ard_3-1-0_097075_2020-06-10_final
2020-06-11 09:05:32	ga_ls8c_ard_3-1-0_088079_2020-06-10_final
2020-06-11 09:05:56	ga_ls8c_ard_3-1-0_088080_2020-06-10_final
2020-06-11 09:06:20	ga_ls8c_ard_3-1-0_088081_2020-06-10_final
2020-06-11 10:40:26	ga_ls8c_ard_3-1-0_104069_2020-06-11_final
2020-06-11 10:40:50	ga_ls8c_ard_3-1-0_104070_2020-06-11_final
2020-06-11 10:42:26	ga_ls8c_ard_3-1-0_104074_2020-06-11_final
2020-06-11 10:42:50	ga_ls8c_ard_3-1-0_104075_2020-06-11_final
2020-06-11 10:43:14	ga_ls8c_ard_3-1-0_104076_2020-06-11_final
2020-06-11 10:43:38	ga_ls8c_ard_3-1-0_104077_2020-06-11_final
2020-06-11 10:44:01	ga_ls8c_ard_3-1-0_104078_2020-06-11_final
2020-06-11 10:44:49	ga_ls8c_ard_3-1-0_104080_2020-06-11_final
2020-06-11 10:45:37	ga_ls8c_ard_3-1-0_104082_2020-06-11_final
2020-06-11 10:46:01	ga_ls8c_ard_3-1-0_104083_2020-06-11_final
2020-06-12 09:46:01	ga_ls8c_ard_3-1-0_095072_2020-06-12_final
2020-06-12 09:47:13	ga_ls8c_ard_3-1-0_095075_2020-06-12_final
2020-06-12 09:48:01	ga_ls8c_ard_3-1-0_095077_2020-06-12_final
2020-06-12 09:48:25	ga_ls8c_ard_3-1-0_095078_2020-06-12_final
2020-06-12 09:49:13	ga_ls8c_ard_3-1-0_095080_2020-06-12_final
2020-06-12 09:50:01	ga_ls8c_ard_3-1-0_095082_2020-06-12_final
2020-06-12 09:51:12	ga_ls8c_ard_3-1-0_095085_2020-06-12_final
2020-06-12 09:51:36	ga_ls8c_ard_3-1-0_095086_2020-06-12_final
2020-06-12 09:52:24	ga_ls8c_ard_3-1-0_095088_2020-06-12_final
2020-06-13 10:29:41	ga_ls8c_ard_3-1-0_102073_2020-06-13_final
2020-06-13 10:30:05	ga_ls8c_ard_3-1-0_102074_2020-06-13_final
2020-06-13 10:30:29	ga_ls8c_ard_3-1-0_102075_2020-06-13_final
2020-06-13 10:30:53	ga_ls8c_ard_3-1-0_102076_2020-06-13_final
2020-06-13 10:32:29	ga_ls8c_ard_3-1-0_102080_2020-06-13_final
2020-06-13 10:32:53	ga_ls8c_ard_3-1-0_102081_2020-06-13_final
2020-06-14 09:31:41	ga_ls8c_ard_3-1-0_093067_2020-06-14_final
2020-06-14 09:32:05	ga_ls8c_ard_3-1-0_093068_2020-06-14_final
2020-06-14 09:33:17	ga_ls8c_ard_3-1-0_093071_2020-06-14_final
2020-06-14 09:34:05	ga_ls8c_ard_3-1-0_093073_2020-06-14_final
2020-06-14 09:34:28	ga_ls8c_ard_3-1-0_093074_2020-06-14_final
2020-06-14 09:39:16	ga_ls8c_ard_3-1-0_093086_2020-06-14_final
2020-06-15 10:16:09	ga_ls8c_ard_3-1-0_100070_2020-06-15_final
2020-06-15 10:16:57	ga_ls8c_ard_3-1-0_100072_2020-06-15_final
2020-06-15 10:17:45	ga_ls8c_ard_3-1-0_100074_2020-06-15_final
2020-06-15 10:18:09	ga_ls8c_ard_3-1-0_100075_2020-06-15_final
2020-06-15 10:19:21	ga_ls8c_ard_3-1-0_100078_2020-06-15_final
2020-06-15 10:20:08	ga_ls8c_ard_3-1-0_100080_2020-06-15_final
2020-06-15 10:20:32	ga_ls8c_ard_3-1-0_100081_2020-06-15_final
2020-06-15 10:20:56	ga_ls8c_ard_3-1-0_100082_2020-06-15_final
2020-06-15 10:22:08	ga_ls8c_ard_3-1-0_100085_2020-06-15_final
2020-06-16 09:21:20	ga_ls8c_ard_3-1-0_091072_2020-06-15_final
2020-06-16 09:21:44	ga_ls8c_ard_3-1-0_091073_2020-06-15_final
2020-06-16 09:23:20	ga_ls8c_ard_3-1-0_091077_2020-06-15_final
2020-06-16 09:26:07	ga_ls8c_ard_3-1-0_091084_2020-06-15_final
2020-06-16 09:26:31	ga_ls8c_ard_3-1-0_091085_2020-06-15_final
2020-06-16 09:26:55	ga_ls8c_ard_3-1-0_091086_2020-06-15_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-06-17 10:08:12	ga_ls8c_ard_3-1-0_098081_2020-06-17_final
2020-06-18 09:10:11	ga_ls8c_ard_3-1-0_089075_2020-06-17_final
2020-06-18 09:12:11	ga_ls8c_ard_3-1-0_089080_2020-06-17_final
2020-06-18 09:12:35	ga_ls8c_ard_3-1-0_089081_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-19 09:50:40	ga_ls8c_ard_3-1-0_096068_2020-06-19_final
2020-06-19 09:51:52	ga_ls8c_ard_3-1-0_096071_2020-06-19_final
2020-06-19 09:52:16	ga_ls8c_ard_3-1-0_096072_2020-06-19_final
2020-06-19 09:52:40	ga_ls8c_ard_3-1-0_096073_2020-06-19_final
2020-06-19 09:53:28	ga_ls8c_ard_3-1-0_096075_2020-06-19_final
2020-06-19 09:53:52	ga_ls8c_ard_3-1-0_096076_2020-06-19_final
2020-06-19 09:54:39	ga_ls8c_ard_3-1-0_096078_2020-06-19_final
2020-06-19 09:55:03	ga_ls8c_ard_3-1-0_096079_2020-06-19_final
2020-06-19 09:55:27	ga_ls8c_ard_3-1-0_096080_2020-06-19_final
2020-06-19 09:55:51	ga_ls8c_ard_3-1-0_096081_2020-06-19_final
2020-06-19 09:56:15	ga_ls8c_ard_3-1-0_096082_2020-06-19_final
2020-06-19 09:57:03	ga_ls8c_ard_3-1-0_096084_2020-06-19_final
2020-06-20 10:34:20	ga_ls8c_ard_3-1-0_103069_2020-06-20_final
2020-06-20 10:34:44	ga_ls8c_ard_3-1-0_103070_2020-06-20_final
2020-06-20 10:35:56	ga_ls8c_ard_3-1-0_103073_2020-06-20_final
2020-06-20 10:36:20	ga_ls8c_ard_3-1-0_103074_2020-06-20_final
2020-06-20 10:36:44	ga_ls8c_ard_3-1-0_103075_2020-06-20_final
2020-06-20 10:37:08	ga_ls8c_ard_3-1-0_103076_2020-06-20_final
2020-06-20 10:37:56	ga_ls8c_ard_3-1-0_103078_2020-06-20_final
2020-06-20 10:38:44	ga_ls8c_ard_3-1-0_103080_2020-06-20_final
2020-06-20 10:39:08	ga_ls8c_ard_3-1-0_103081_2020-06-20_final
2020-06-20 10:39:32	ga_ls8c_ard_3-1-0_103082_2020-06-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years