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
2024-03-12 11:19:21	ga_ls8c_ard_3-2-1_110073_2024-03-12_final
2024-03-12 11:19:45	ga_ls8c_ard_3-2-1_110074_2024-03-12_final
2024-03-12 11:22:09	ga_ls8c_ard_3-2-1_110080_2024-03-12_final
2024-03-14 11:07:47	ga_ls8c_ard_3-2-1_108075_2024-03-14_final
2024-03-19 11:25:04	ga_ls8c_ard_3-2-1_111072_2024-03-19_final
2024-03-21 11:14:40	ga_ls8c_ard_3-2-1_109077_2024-03-21_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_final
2024-03-28 11:19:54	ga_ls8c_ard_3-2-1_110075_2024-03-28_final
2024-03-30 11:07:09	ga_ls8c_ard_3-2-1_108074_2024-03-30_final
2024-03-30 11:09:32	ga_ls8c_ard_3-2-1_108080_2024-03-30_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-04-04 11:26:54	ga_ls8c_ard_3-2-1_111077_2024-04-04_final
2024-04-06 11:13:20	ga_ls8c_ard_3-2-1_109074_2024-04-06_final
2024-04-06 11:14:08	ga_ls8c_ard_3-2-1_109076_2024-04-06_final
2024-04-06 11:15:44	ga_ls8c_ard_3-2-1_109080_2024-04-06_final
2024-04-06 11:16:08	ga_ls8c_ard_3-2-1_109081_2024-04-06_final
2024-04-08 11:02:34	ga_ls8c_ard_3-2-1_107078_2024-04-08_final
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_final
2024-04-08 11:03:21	ga_ls8c_ard_3-2-1_107080_2024-04-08_final
2024-04-08 11:03:45	ga_ls8c_ard_3-2-1_107081_2024-04-08_final
2024-04-08 11:04:09	ga_ls8c_ard_3-2-1_107082_2024-04-08_final
2024-04-08 11:04:33	ga_ls8c_ard_3-2-1_107083_2024-04-08_final
2024-04-08 11:04:57	ga_ls8c_ard_3-2-1_107084_2024-04-08_final
2024-04-11 11:31:03	ga_ls8c_ard_3-2-1_112072_2024-04-11_final
2024-04-13 11:17:28	ga_ls8c_ard_3-2-1_110069_2024-04-13_final
2024-04-13 11:17:52	ga_ls8c_ard_3-2-1_110070_2024-04-13_final
2024-04-13 11:18:16	ga_ls8c_ard_3-2-1_110071_2024-04-13_final
2024-04-13 11:18:40	ga_ls8c_ard_3-2-1_110072_2024-04-13_final
2024-04-13 11:19:04	ga_ls8c_ard_3-2-1_110073_2024-04-13_final
2024-04-13 11:19:28	ga_ls8c_ard_3-2-1_110074_2024-04-13_final
2024-04-13 11:19:52	ga_ls8c_ard_3-2-1_110075_2024-04-13_final
2024-04-13 11:20:16	ga_ls8c_ard_3-2-1_110076_2024-04-13_final
2024-04-13 11:20:40	ga_ls8c_ard_3-2-1_110077_2024-04-13_final
2024-04-13 11:21:04	ga_ls8c_ard_3-2-1_110078_2024-04-13_final
2024-04-13 11:21:28	ga_ls8c_ard_3-2-1_110079_2024-04-13_final
2024-04-13 11:21:52	ga_ls8c_ard_3-2-1_110080_2024-04-13_final
2024-04-15 11:07:05	ga_ls8c_ard_3-2-1_108074_2024-04-15_final
2024-04-15 11:07:29	ga_ls8c_ard_3-2-1_108075_2024-04-15_final
2024-04-15 11:07:53	ga_ls8c_ard_3-2-1_108076_2024-04-15_final
2024-04-15 11:08:17	ga_ls8c_ard_3-2-1_108077_2024-04-15_final
2024-04-15 11:08:41	ga_ls8c_ard_3-2-1_108078_2024-04-15_final
2024-04-15 11:09:04	ga_ls8c_ard_3-2-1_108079_2024-04-15_final
2024-04-15 11:09:28	ga_ls8c_ard_3-2-1_108080_2024-04-15_final
2024-04-15 11:09:52	ga_ls8c_ard_3-2-1_108081_2024-04-15_final
2024-04-15 11:10:16	ga_ls8c_ard_3-2-1_108082_2024-04-15_final
2024-04-15 11:10:40	ga_ls8c_ard_3-2-1_108083_2024-04-15_final
2024-04-15 11:11:04	ga_ls8c_ard_3-2-1_108084_2024-04-15_final
2024-04-17 10:57:53	ga_ls8c_ard_3-2-1_106082_2024-04-17_final
2024-04-17 10:58:17	ga_ls8c_ard_3-2-1_106083_2024-04-17_final
2024-04-20 11:23:09	ga_ls8c_ard_3-2-1_111068_2024-04-20_final
2024-04-20 11:23:33	ga_ls8c_ard_3-2-1_111069_2024-04-20_final
2024-04-20 11:23:57	ga_ls8c_ard_3-2-1_111070_2024-04-20_final
2024-04-20 11:24:21	ga_ls8c_ard_3-2-1_111071_2024-04-20_final
2024-04-20 11:24:45	ga_ls8c_ard_3-2-1_111072_2024-04-20_final
2024-04-20 11:25:09	ga_ls8c_ard_3-2-1_111073_2024-04-20_final
2024-04-20 11:25:33	ga_ls8c_ard_3-2-1_111074_2024-04-20_final
2024-04-20 11:25:57	ga_ls8c_ard_3-2-1_111075_2024-04-20_final
2024-04-20 11:26:21	ga_ls8c_ard_3-2-1_111076_2024-04-20_final
2024-04-22 11:11:12	ga_ls8c_ard_3-2-1_109069_2024-04-22_final
2024-04-22 11:11:36	ga_ls8c_ard_3-2-1_109070_2024-04-22_final
2024-04-22 11:15:35	ga_ls8c_ard_3-2-1_109080_2024-04-22_final
2024-04-22 11:15:59	ga_ls8c_ard_3-2-1_109081_2024-04-22_final
2024-04-22 11:16:23	ga_ls8c_ard_3-2-1_109082_2024-04-22_final
2024-04-22 11:16:47	ga_ls8c_ard_3-2-1_109083_2024-04-22_final
2024-04-22 11:17:11	ga_ls8c_ard_3-2-1_109084_2024-04-22_final
2024-04-29 11:17:18	ga_ls8c_ard_3-2-1_110069_2024-04-29_final
2024-04-29 11:17:42	ga_ls8c_ard_3-2-1_110070_2024-04-29_final
2024-04-29 11:18:06	ga_ls8c_ard_3-2-1_110071_2024-04-29_final
2024-04-29 11:18:29	ga_ls8c_ard_3-2-1_110072_2024-04-29_final
2024-04-29 11:18:53	ga_ls8c_ard_3-2-1_110073_2024-04-29_final
2024-04-29 11:19:17	ga_ls8c_ard_3-2-1_110074_2024-04-29_final
2024-04-29 11:19:41	ga_ls8c_ard_3-2-1_110075_2024-04-29_final
2024-04-29 11:20:05	ga_ls8c_ard_3-2-1_110076_2024-04-29_final
2024-04-29 11:20:29	ga_ls8c_ard_3-2-1_110077_2024-04-29_final
2024-04-29 11:20:53	ga_ls8c_ard_3-2-1_110078_2024-04-29_final
2024-04-29 11:21:17	ga_ls8c_ard_3-2-1_110079_2024-04-29_final
2024-04-29 11:21:41	ga_ls8c_ard_3-2-1_110080_2024-04-29_final
2024-04-29 11:22:05	ga_ls8c_ard_3-2-1_110081_2024-04-29_final
2024-05-01 11:06:53	ga_ls8c_ard_3-2-1_108074_2024-05-01_final
2024-05-01 11:07:17	ga_ls8c_ard_3-2-1_108075_2024-05-01_final
2024-05-01 11:07:41	ga_ls8c_ard_3-2-1_108076_2024-05-01_final
2024-05-01 11:08:05	ga_ls8c_ard_3-2-1_108077_2024-05-01_final
2024-05-01 11:08:29	ga_ls8c_ard_3-2-1_108078_2024-05-01_final
2024-05-01 11:08:53	ga_ls8c_ard_3-2-1_108079_2024-05-01_final
2024-05-01 11:09:17	ga_ls8c_ard_3-2-1_108080_2024-05-01_final
2024-05-01 11:09:41	ga_ls8c_ard_3-2-1_108081_2024-05-01_final
2024-05-01 11:10:05	ga_ls8c_ard_3-2-1_108082_2024-05-01_final
2024-05-01 11:10:29	ga_ls8c_ard_3-2-1_108083_2024-05-01_final
2024-05-01 11:10:53	ga_ls8c_ard_3-2-1_108084_2024-05-01_final
2024-05-03 10:57:42	ga_ls8c_ard_3-2-1_106082_2024-05-03_final
2024-05-03 10:58:06	ga_ls8c_ard_3-2-1_106083_2024-05-03_final
2024-05-06 11:23:00	ga_ls8c_ard_3-2-1_111068_2024-05-06_final
2024-05-06 11:23:24	ga_ls8c_ard_3-2-1_111069_2024-05-06_final
2024-05-06 11:23:48	ga_ls8c_ard_3-2-1_111070_2024-05-06_final
2024-05-06 11:24:12	ga_ls8c_ard_3-2-1_111071_2024-05-06_final
2024-05-06 11:24:36	ga_ls8c_ard_3-2-1_111072_2024-05-06_final
2024-05-06 11:25:00	ga_ls8c_ard_3-2-1_111073_2024-05-06_final
2024-05-06 11:25:24	ga_ls8c_ard_3-2-1_111074_2024-05-06_final
2024-05-06 11:25:47	ga_ls8c_ard_3-2-1_111075_2024-05-06_final
2024-05-06 11:26:11	ga_ls8c_ard_3-2-1_111076_2024-05-06_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