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

80 results

Time (local)	Label
2020-06-21 09:39:55	ga_ls8c_ard_3-1-0_094072_2020-06-21_final
2020-06-22 10:21:12	ga_ls8c_ard_3-1-0_101067_2020-06-22_final
2020-06-22 10:21:36	ga_ls8c_ard_3-1-0_101068_2020-06-22_final
2020-06-22 10:22:00	ga_ls8c_ard_3-1-0_101069_2020-06-22_final
2020-06-22 10:22:24	ga_ls8c_ard_3-1-0_101070_2020-06-22_final
2020-06-22 10:26:23	ga_ls8c_ard_3-1-0_101080_2020-06-22_final
2020-06-22 10:27:59	ga_ls8c_ard_3-1-0_101084_2020-06-22_final
2020-06-23 09:31:58	ga_ls8c_ard_3-1-0_092083_2020-06-23_final
2020-06-23 09:32:22	ga_ls8c_ard_3-1-0_092084_2020-06-23_final
2020-06-23 09:32:46	ga_ls8c_ard_3-1-0_092085_2020-06-23_final
2020-06-26 09:56:31	ga_ls8c_ard_3-1-0_097067_2020-06-26_final
2020-06-26 09:56:55	ga_ls8c_ard_3-1-0_097068_2020-06-26_final
2020-06-26 09:57:18	ga_ls8c_ard_3-1-0_097069_2020-06-26_final
2020-06-26 10:04:05	ga_ls8c_ard_3-1-0_097086_2020-06-26_final
2020-06-28 09:45:22	ga_ls8c_ard_3-1-0_095070_2020-06-28_final
2020-06-28 09:45:46	ga_ls8c_ard_3-1-0_095071_2020-06-28_final
2020-06-28 09:52:33	ga_ls8c_ard_3-1-0_095088_2020-06-28_final
2020-06-30 09:34:13	ga_ls8c_ard_3-1-0_093073_2020-06-30_final
2020-07-01 10:15:05	ga_ls8c_ard_3-1-0_100067_2020-07-01_final
2020-07-01 10:15:29	ga_ls8c_ard_3-1-0_100068_2020-07-01_final
2020-07-01 10:15:53	ga_ls8c_ard_3-1-0_100069_2020-07-01_final
2020-07-01 10:16:17	ga_ls8c_ard_3-1-0_100070_2020-07-01_final
2020-07-01 10:22:16	ga_ls8c_ard_3-1-0_100085_2020-07-01_final
2020-07-03 10:10:19	ga_ls8c_ard_3-1-0_098086_2020-07-03_final
2020-07-05 09:50:48	ga_ls8c_ard_3-1-0_096068_2020-07-05_final
2020-07-05 09:51:12	ga_ls8c_ard_3-1-0_096069_2020-07-05_final
2020-07-05 09:56:23	ga_ls8c_ard_3-1-0_096082_2020-07-05_final
2020-07-05 09:56:47	ga_ls8c_ard_3-1-0_096083_2020-07-05_final
2020-07-05 09:57:59	ga_ls8c_ard_3-1-0_096086_2020-07-05_final
2020-07-05 09:58:23	ga_ls8c_ard_3-1-0_096087_2020-07-05_final
2020-07-06 10:33:40	ga_ls8c_ard_3-1-0_103067_2020-07-06_final
2020-07-06 10:40:03	ga_ls8c_ard_3-1-0_103083_2020-07-06_final
2020-07-07 09:40:03	ga_ls8c_ard_3-1-0_094072_2020-07-07_final
2020-07-07 11:17:20	ga_ls8c_ard_3-1-0_110068_2020-07-07_final
2020-07-07 11:17:44	ga_ls8c_ard_3-1-0_110069_2020-07-07_final
2020-07-07 11:24:07	ga_ls8c_ard_3-1-0_110085_2020-07-07_final
2020-07-08 10:21:19	ga_ls8c_ard_3-1-0_101067_2020-07-08_final
2020-07-08 10:21:43	ga_ls8c_ard_3-1-0_101068_2020-07-08_final
2020-07-08 10:22:07	ga_ls8c_ard_3-1-0_101069_2020-07-08_final
2020-07-08 10:22:31	ga_ls8c_ard_3-1-0_101070_2020-07-08_final
2020-07-08 10:28:06	ga_ls8c_ard_3-1-0_101084_2020-07-08_final
2020-07-09 09:34:53	ga_ls8c_ard_3-1-0_092090_2020-07-09_final
2020-07-09 11:11:46	ga_ls8c_ard_3-1-0_108085_2020-07-09_final
2020-07-10 10:09:22	ga_ls8c_ard_3-1-0_099068_2020-07-10_final
2020-07-10 10:09:46	ga_ls8c_ard_3-1-0_099069_2020-07-10_final
2020-07-10 10:16:09	ga_ls8c_ard_3-1-0_099085_2020-07-10_final
2020-07-10 11:50:15	ga_ls8c_ard_3-1-0_115073_2020-07-10_final
2020-07-11 09:16:33	ga_ls8c_ard_3-1-0_090075_2020-07-10_final
2020-07-11 10:52:14	ga_ls8c_ard_3-1-0_106067_2020-07-11_final
2020-07-11 10:59:01	ga_ls8c_ard_3-1-0_106084_2020-07-11_final
2020-07-12 09:57:01	ga_ls8c_ard_3-1-0_097068_2020-07-12_final
2020-07-12 10:04:12	ga_ls8c_ard_3-1-0_097086_2020-07-12_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-07-12 11:37:54	ga_ls8c_ard_3-1-0_113073_2020-07-12_final
2020-07-14 09:45:28	ga_ls8c_ard_3-1-0_095070_2020-07-14_final
2020-07-14 09:45:52	ga_ls8c_ard_3-1-0_095071_2020-07-14_final
2020-07-14 09:52:39	ga_ls8c_ard_3-1-0_095088_2020-07-14_final
2020-07-14 11:23:57	ga_ls8c_ard_3-1-0_111069_2020-07-14_final
2020-07-14 11:24:21	ga_ls8c_ard_3-1-0_111070_2020-07-14_final
2020-07-15 10:27:32	ga_ls8c_ard_3-1-0_102067_2020-07-15_final
2020-07-15 10:33:55	ga_ls8c_ard_3-1-0_102083_2020-07-15_final
2020-07-16 09:34:19	ga_ls8c_ard_3-1-0_093073_2020-07-16_final
2020-07-16 11:10:48	ga_ls8c_ard_3-1-0_109067_2020-07-16_final
2020-07-16 11:11:12	ga_ls8c_ard_3-1-0_109068_2020-07-16_final
2020-07-16 11:17:59	ga_ls8c_ard_3-1-0_109085_2020-07-16_final
2020-07-17 10:15:11	ga_ls8c_ard_3-1-0_100067_2020-07-17_final
2020-07-17 10:15:35	ga_ls8c_ard_3-1-0_100068_2020-07-17_final
2020-07-17 10:15:59	ga_ls8c_ard_3-1-0_100069_2020-07-17_final
2020-07-17 10:16:23	ga_ls8c_ard_3-1-0_100070_2020-07-17_final
2020-07-17 10:22:22	ga_ls8c_ard_3-1-0_100085_2020-07-17_final
2020-07-17 11:56:52	ga_ls8c_ard_3-1-0_116074_2020-07-17_final
2020-07-17 11:57:16	ga_ls8c_ard_3-1-0_116075_2020-07-17_final
2020-07-17 11:57:40	ga_ls8c_ard_3-1-0_116076_2020-07-17_final
2020-07-17 11:58:04	ga_ls8c_ard_3-1-0_116077_2020-07-17_final
2020-07-17 11:58:28	ga_ls8c_ard_3-1-0_116078_2020-07-17_final
2020-07-18 10:58:27	ga_ls8c_ard_3-1-0_107067_2020-07-18_final
2020-07-18 10:58:51	ga_ls8c_ard_3-1-0_107068_2020-07-18_final
2020-07-18 10:59:15	ga_ls8c_ard_3-1-0_107069_2020-07-18_final
2020-07-18 11:05:38	ga_ls8c_ard_3-1-0_107085_2020-07-18_final
2020-07-19 10:10:25	ga_ls8c_ard_3-1-0_098086_2020-07-19_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