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

92 results

Time (local)	Label
2020-06-07 09:29:01	ga_ls8c_ard_3-1-0_092076_2020-06-06_final
2020-06-07 09:31:01	ga_ls8c_ard_3-1-0_092081_2020-06-07_final
2020-06-07 11:05:07	ga_ls8c_ard_3-1-0_108069_2020-06-07_final
2020-06-07 11:05:31	ga_ls8c_ard_3-1-0_108070_2020-06-07_final
2020-06-08 10:13:53	ga_ls8c_ard_3-1-0_099080_2020-06-08_final
2020-06-08 11:49:59	ga_ls8c_ard_3-1-0_115073_2020-06-08_final
2020-06-08 11:50:23	ga_ls8c_ard_3-1-0_115074_2020-06-08_final
2020-06-08 11:51:11	ga_ls8c_ard_3-1-0_115076_2020-06-08_final
2020-06-08 11:51:35	ga_ls8c_ard_3-1-0_115077_2020-06-08_final
2020-06-08 11:52:23	ga_ls8c_ard_3-1-0_115079_2020-06-08_final
2020-06-08 11:52:47	ga_ls8c_ard_3-1-0_115080_2020-06-08_final
2020-06-09 09:17:05	ga_ls8c_ard_3-1-0_090077_2020-06-08_final
2020-06-09 10:52:46	ga_ls8c_ard_3-1-0_106069_2020-06-09_final
2020-06-10 10:00:21	ga_ls8c_ard_3-1-0_097077_2020-06-10_final
2020-06-10 11:35:15	ga_ls8c_ard_3-1-0_113067_2020-06-10_final
2020-06-10 11:39:14	ga_ls8c_ard_3-1-0_113077_2020-06-10_final
2020-06-10 11:39:38	ga_ls8c_ard_3-1-0_113078_2020-06-10_final
2020-06-10 11:40:02	ga_ls8c_ard_3-1-0_113079_2020-06-10_final
2020-06-10 11:40:26	ga_ls8c_ard_3-1-0_113080_2020-06-10_final
2020-06-10 11:40:50	ga_ls8c_ard_3-1-0_113081_2020-06-10_final
2020-06-10 11:41:14	ga_ls8c_ard_3-1-0_113082_2020-06-10_final
2020-06-10 11:41:38	ga_ls8c_ard_3-1-0_113083_2020-06-10_final
2020-06-10 11:42:02	ga_ls8c_ard_3-1-0_113084_2020-06-10_final
2020-06-11 10:41:14	ga_ls8c_ard_3-1-0_104071_2020-06-11_final
2020-06-12 09:49:37	ga_ls8c_ard_3-1-0_095081_2020-06-12_final
2020-06-12 11:22:55	ga_ls8c_ard_3-1-0_111067_2020-06-12_final
2020-06-13 10:29:17	ga_ls8c_ard_3-1-0_102072_2020-06-13_final
2020-06-13 10:31:41	ga_ls8c_ard_3-1-0_102078_2020-06-13_final
2020-06-14 09:37:40	ga_ls8c_ard_3-1-0_093082_2020-06-14_final
2020-06-14 09:40:04	ga_ls8c_ard_3-1-0_093088_2020-06-14_final
2020-06-14 11:12:58	ga_ls8c_ard_3-1-0_109073_2020-06-14_final
2020-06-14 11:15:21	ga_ls8c_ard_3-1-0_109079_2020-06-14_final
2020-06-14 11:17:21	ga_ls8c_ard_3-1-0_109084_2020-06-14_final
2020-06-15 10:17:21	ga_ls8c_ard_3-1-0_100073_2020-06-15_final
2020-06-15 10:19:44	ga_ls8c_ard_3-1-0_100079_2020-06-15_final
2020-06-15 10:21:44	ga_ls8c_ard_3-1-0_100084_2020-06-15_final
2020-06-15 11:56:38	ga_ls8c_ard_3-1-0_116074_2020-06-15_final
2020-06-15 11:57:02	ga_ls8c_ard_3-1-0_116075_2020-06-15_final
2020-06-15 11:57:50	ga_ls8c_ard_3-1-0_116077_2020-06-15_final
2020-06-16 09:22:08	ga_ls8c_ard_3-1-0_091074_2020-06-15_final
2020-06-16 09:25:44	ga_ls8c_ard_3-1-0_091083_2020-06-15_final
2020-06-16 09:28:07	ga_ls8c_ard_3-1-0_091089_2020-06-15_final
2020-06-16 09:28:31	ga_ls8c_ard_3-1-0_091090_2020-06-15_final
2020-06-16 11:05:01	ga_ls8c_ard_3-1-0_107084_2020-06-16_final
2020-06-17 10:02:37	ga_ls8c_ard_3-1-0_098067_2020-06-17_final
2020-06-17 10:05:24	ga_ls8c_ard_3-1-0_098074_2020-06-17_final
2020-06-17 10:09:00	ga_ls8c_ard_3-1-0_098083_2020-06-17_final
2020-06-17 11:45:05	ga_ls8c_ard_3-1-0_114076_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-06-17 11:46:17	ga_ls8c_ard_3-1-0_114079_2020-06-17_final
2020-06-17 11:47:05	ga_ls8c_ard_3-1-0_114081_2020-06-17_final
2020-06-18 09:11:47	ga_ls8c_ard_3-1-0_089079_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 10:47:53	ga_ls8c_ard_3-1-0_105072_2020-06-18_final
2020-06-18 10:50:16	ga_ls8c_ard_3-1-0_105078_2020-06-18_final
2020-06-19 09:50:16	ga_ls8c_ard_3-1-0_096067_2020-06-19_final
2020-06-19 09:53:04	ga_ls8c_ard_3-1-0_096074_2020-06-19_final
2020-06-19 09:56:39	ga_ls8c_ard_3-1-0_096083_2020-06-19_final
2020-06-19 11:32:45	ga_ls8c_ard_3-1-0_112076_2020-06-19_final
2020-06-19 11:34:44	ga_ls8c_ard_3-1-0_112081_2020-06-19_final
2020-06-19 11:36:20	ga_ls8c_ard_3-1-0_112085_2020-06-19_final
2020-06-20 10:33:56	ga_ls8c_ard_3-1-0_103068_2020-06-20_final
2020-06-20 10:35:08	ga_ls8c_ard_3-1-0_103071_2020-06-20_final
2020-06-24 11:50:08	ga_ls8c_ard_3-1-0_115073_2020-06-24_final
2020-06-24 11:52:08	ga_ls8c_ard_3-1-0_115078_2020-06-24_final
2020-06-24 11:52:32	ga_ls8c_ard_3-1-0_115079_2020-06-24_final
2020-06-26 11:38:59	ga_ls8c_ard_3-1-0_113076_2020-06-26_final
2020-06-26 11:39:23	ga_ls8c_ard_3-1-0_113077_2020-06-26_final
2020-06-26 11:40:11	ga_ls8c_ard_3-1-0_113079_2020-06-26_final
2020-06-26 11:40:35	ga_ls8c_ard_3-1-0_113080_2020-06-26_final
2020-06-26 11:40:59	ga_ls8c_ard_3-1-0_113081_2020-06-26_final
2020-06-26 11:41:23	ga_ls8c_ard_3-1-0_113082_2020-06-26_final
2020-06-26 11:42:11	ga_ls8c_ard_3-1-0_113084_2020-06-26_final
2020-06-27 09:06:29	ga_ls8c_ard_3-1-0_088081_2020-06-26_final
2020-06-27 10:39:47	ga_ls8c_ard_3-1-0_104067_2020-06-27_final
2020-06-27 10:40:59	ga_ls8c_ard_3-1-0_104070_2020-06-27_final
2020-06-27 10:41:22	ga_ls8c_ard_3-1-0_104071_2020-06-27_final
2020-06-27 10:44:34	ga_ls8c_ard_3-1-0_104079_2020-06-27_final
2020-06-27 10:45:22	ga_ls8c_ard_3-1-0_104081_2020-06-27_final
2020-06-27 10:46:10	ga_ls8c_ard_3-1-0_104083_2020-06-27_final
2020-06-29 10:27:50	ga_ls8c_ard_3-1-0_102068_2020-06-29_final
2020-06-29 10:28:38	ga_ls8c_ard_3-1-0_102070_2020-06-29_final
2020-06-29 10:29:02	ga_ls8c_ard_3-1-0_102071_2020-06-29_final
2020-06-29 10:29:50	ga_ls8c_ard_3-1-0_102073_2020-06-29_final
2020-06-29 10:30:14	ga_ls8c_ard_3-1-0_102074_2020-06-29_final
2020-06-29 10:30:38	ga_ls8c_ard_3-1-0_102075_2020-06-29_final
2020-06-29 10:31:01	ga_ls8c_ard_3-1-0_102076_2020-06-29_final
2020-06-29 10:31:25	ga_ls8c_ard_3-1-0_102077_2020-06-29_final
2020-06-29 10:31:49	ga_ls8c_ard_3-1-0_102078_2020-06-29_final
2020-06-29 10:32:37	ga_ls8c_ard_3-1-0_102080_2020-06-29_final
2020-06-29 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-06-29_final
2020-06-29 10:33:49	ga_ls8c_ard_3-1-0_102083_2020-06-29_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