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
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-19 10:11:20	ga_ls8c_ard_3-0-0_099073_2015-02-19_final
2015-02-19 10:11:44	ga_ls8c_ard_3-0-0_099074_2015-02-19_final
2015-02-19 10:12:08	ga_ls8c_ard_3-0-0_099075_2015-02-19_final
2015-02-19 10:12:32	ga_ls8c_ard_3-0-0_099076_2015-02-19_final
2015-02-19 10:12:56	ga_ls8c_ard_3-0-0_099077_2015-02-19_final
2015-02-19 10:13:20	ga_ls8c_ard_3-0-0_099078_2015-02-19_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-28 10:07:07	ga_ls8c_ard_3-0-0_098078_2015-02-28_final
2015-02-28 10:07:31	ga_ls8c_ard_3-0-0_098079_2015-02-28_final
2015-02-28 10:07:55	ga_ls8c_ard_3-0-0_098080_2015-02-28_final
2015-02-28 10:08:19	ga_ls8c_ard_3-0-0_098081_2015-02-28_final
2015-02-28 10:08:43	ga_ls8c_ard_3-0-0_098082_2015-02-28_final
2015-02-28 10:09:07	ga_ls8c_ard_3-0-0_098083_2015-02-28_final
2017-03-21 10:07:00	ga_ls8c_ard_3-0-0_098078_2017-03-21_final
2017-03-21 10:07:24	ga_ls8c_ard_3-0-0_098079_2017-03-21_final
2017-03-21 10:07:48	ga_ls8c_ard_3-0-0_098080_2017-03-21_final
2017-03-21 10:08:11	ga_ls8c_ard_3-0-0_098081_2017-03-21_final
2017-03-21 10:08:35	ga_ls8c_ard_3-0-0_098082_2017-03-21_final
2017-03-21 10:08:59	ga_ls8c_ard_3-0-0_098083_2017-03-21_final
2017-03-23 09:57:48	ga_ls8c_ard_3-0-0_096086_2017-03-23_final
2017-03-23 09:58:12	ga_ls8c_ard_3-0-0_096087_2017-03-23_final
2017-04-15 10:02:13	ga_ls8c_ard_3-0-0_097082_2017-04-15_final
2017-04-15 10:02:37	ga_ls8c_ard_3-0-0_097083_2017-04-15_final
2017-04-15 10:03:01	ga_ls8c_ard_3-0-0_097084_2017-04-15_final
2017-04-15 10:03:25	ga_ls8c_ard_3-0-0_097085_2017-04-15_final
2017-04-15 10:03:48	ga_ls8c_ard_3-0-0_097086_2017-04-15_final
2017-04-27 10:20:49	ga_ls8c_ard_3-0-0_101067_2017-04-27_final
2017-04-27 10:21:13	ga_ls8c_ard_3-0-0_101068_2017-04-27_final
2017-04-27 10:21:36	ga_ls8c_ard_3-0-0_101069_2017-04-27_final
2017-04-27 10:22:00	ga_ls8c_ard_3-0-0_101070_2017-04-27_final
2017-07-18 10:11:22	ga_ls8c_ard_3-1-0_099073_2017-07-18_final
2017-07-18 10:11:46	ga_ls8c_ard_3-0-0_099074_2017-07-18_final
2017-07-18 10:12:10	ga_ls8c_ard_3-0-0_099075_2017-07-18_final
2017-07-18 10:12:34	ga_ls8c_ard_3-0-0_099076_2017-07-18_final
2017-07-18 10:12:58	ga_ls8c_ard_3-0-0_099077_2017-07-18_final
2017-07-18 10:13:22	ga_ls8c_ard_3-0-0_099078_2017-07-18_final
2017-07-18 10:13:46	ga_ls8c_ard_3-0-0_099079_2017-07-18_final
2017-07-29 09:58:07	ga_ls8c_ard_3-0-0_096086_2017-07-29_final
2017-07-29 09:58:31	ga_ls8c_ard_3-0-0_096087_2017-07-29_final
2017-08-10 10:16:08	ga_ls8c_ard_3-0-0_100069_2017-08-10_final
2017-08-10 10:16:32	ga_ls8c_ard_3-0-0_100070_2017-08-10_final
2017-08-10 10:16:56	ga_ls8c_ard_3-0-0_100071_2017-08-10_final
2017-08-10 10:17:19	ga_ls8c_ard_3-0-0_100072_2017-08-10_final
2017-08-10 10:17:43	ga_ls8c_ard_3-0-0_100073_2017-08-10_final
2017-08-10 10:18:07	ga_ls8c_ard_3-0-0_100074_2017-08-10_final
2017-08-17 10:21:33	ga_ls8c_ard_3-0-0_101067_2017-08-17_final
2017-08-17 10:21:57	ga_ls8c_ard_3-0-0_101068_2017-08-17_final
2017-08-17 10:22:21	ga_ls8c_ard_3-0-0_101069_2017-08-17_final
2017-08-17 10:22:45	ga_ls8c_ard_3-0-0_101070_2017-08-17_final
2017-08-26 10:16:12	ga_ls8c_ard_3-0-0_100069_2017-08-26_final
2017-08-26 10:16:36	ga_ls8c_ard_3-0-0_100070_2017-08-26_final
2017-08-26 10:17:00	ga_ls8c_ard_3-0-0_100071_2017-08-26_final
2017-08-26 10:17:24	ga_ls8c_ard_3-0-0_100072_2017-08-26_final
2017-08-26 10:17:48	ga_ls8c_ard_3-0-0_100073_2017-08-26_final
2017-08-26 10:18:12	ga_ls8c_ard_3-0-0_100074_2017-08-26_final
2023-03-11 10:22:16	ga_ls8c_ard_3-2-1_101069_2023-03-11_final
2023-03-11 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-03-11_final
2023-03-13 10:11:30	ga_ls8c_ard_3-2-1_099073_2023-03-13_final
2023-03-13 10:11:54	ga_ls8c_ard_3-2-1_099074_2023-03-13_final
2023-03-13 10:12:18	ga_ls8c_ard_3-2-1_099075_2023-03-13_final
2023-03-13 10:12:42	ga_ls8c_ard_3-2-1_099076_2023-03-13_final
2023-03-13 10:13:06	ga_ls8c_ard_3-2-1_099077_2023-03-13_final
2023-03-13 10:13:30	ga_ls8c_ard_3-2-1_099078_2023-03-13_final
2023-03-13 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-03-13_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-03-27 10:22:07	ga_ls8c_ard_3-2-1_101069_2023-03-27_final
2023-03-27 10:22:31	ga_ls8c_ard_3-2-1_101070_2023-03-27_final
2023-03-29 10:11:20	ga_ls8c_ard_3-2-1_099073_2023-03-29_final
2023-03-29 10:11:44	ga_ls8c_ard_3-2-1_099074_2023-03-29_final
2023-03-29 10:12:08	ga_ls8c_ard_3-2-1_099075_2023-03-29_final
2023-03-29 10:12:32	ga_ls8c_ard_3-2-1_099076_2023-03-29_final
2023-03-29 10:12:56	ga_ls8c_ard_3-2-1_099077_2023-03-29_final
2023-03-29 10:13:20	ga_ls8c_ard_3-2-1_099078_2023-03-29_final
2023-03-29 10:13:44	ga_ls8c_ard_3-2-1_099079_2023-03-29_final
2023-03-31 10:02:33	ga_ls8c_ard_3-2-1_097082_2023-03-31_final
2023-03-31 10:02:57	ga_ls8c_ard_3-2-1_097083_2023-03-31_final
2023-03-31 10:03:20	ga_ls8c_ard_3-2-1_097084_2023-03-31_final
2023-03-31 10:03:44	ga_ls8c_ard_3-2-1_097085_2023-03-31_final
2023-04-05 10:16:37	ga_ls8c_ard_3-2-1_100071_2023-04-05_final
2023-04-05 10:17:00	ga_ls8c_ard_3-2-1_100072_2023-04-05_final
2023-04-05 10:17:24	ga_ls8c_ard_3-2-1_100073_2023-04-05_final
2023-04-05 10:17:48	ga_ls8c_ard_3-2-1_100074_2023-04-05_final
2023-04-09 09:57:47	ga_ls8c_ard_3-2-1_096086_2023-04-09_final
2023-04-12 10:21:51	ga_ls8c_ard_3-2-1_101069_2023-04-12_final
2023-04-12 10:22:15	ga_ls8c_ard_3-2-1_101070_2023-04-12_final
2023-04-21 10:16:25	ga_ls8c_ard_3-2-1_100071_2023-04-21_final
2023-04-21 10:16:49	ga_ls8c_ard_3-2-1_100072_2023-04-21_final
2023-04-21 10:17:13	ga_ls8c_ard_3-2-1_100073_2023-04-21_final
2023-04-21 10:17:37	ga_ls8c_ard_3-2-1_100074_2023-04-21_final
2023-04-25 09:57:41	ga_ls8c_ard_3-2-1_096086_2023-04-25_final
2023-09-12 10:16:56	ga_ls8c_ard_3-2-1_100071_2023-09-12_final
2023-09-12 10:17:20	ga_ls8c_ard_3-2-1_100072_2023-09-12_final
2023-09-12 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-09-12_final
2023-09-12 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-09-12_final
2023-09-14 10:07:23	ga_ls8c_ard_3-2-1_098078_2023-09-14_final
2023-09-14 10:08:11	ga_ls8c_ard_3-2-1_098080_2023-09-14_final
2023-09-14 10:09:23	ga_ls8c_ard_3-2-1_098083_2023-09-14_final
2023-09-16 09:58:14	ga_ls8c_ard_3-2-1_096086_2023-09-16_final
2023-09-19 10:22:22	ga_ls8c_ard_3-2-1_101069_2023-09-19_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