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
2015-09-03 09:49:01	ga_ls8c_ard_3-0-0_095079_2015-09-03_final
2015-09-03 09:49:25	ga_ls8c_ard_3-0-0_095080_2015-09-03_final
2015-09-03 09:49:48	ga_ls8c_ard_3-0-0_095081_2015-09-03_final
2015-09-03 09:50:12	ga_ls8c_ard_3-0-0_095082_2015-09-03_final
2015-09-03 09:50:36	ga_ls8c_ard_3-0-0_095083_2015-09-03_final
2015-09-03 09:51:00	ga_ls8c_ard_3-0-0_095084_2015-09-03_final
2015-09-05 09:39:28	ga_ls8c_ard_3-0-0_093086_2015-09-05_final
2015-09-05 09:39:52	ga_ls8c_ard_3-0-0_093087_2015-09-05_final
2015-09-05 09:40:16	ga_ls8c_ard_3-0-0_093088_2015-09-05_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-06 10:04:25	ga_ls8c_ard_3-0-0_098071_2019-01-06_final
2019-11-08 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-11-08_final
2019-11-08 09:54:09	ga_ls8c_ard_3-1-0_096075_2019-11-08_final
2019-11-08 09:54:33	ga_ls8c_ard_3-1-0_096076_2019-11-08_final
2019-11-08 09:54:57	ga_ls8c_ard_3-1-0_096077_2019-11-08_final
2019-11-08 09:55:21	ga_ls8c_ard_3-1-0_096078_2019-11-08_final
2019-11-08 09:55:45	ga_ls8c_ard_3-1-0_096079_2019-11-08_final
2019-11-08 09:56:09	ga_ls8c_ard_3-1-0_096080_2019-11-08_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 09:45:23	ga_ls8c_ard_3-1-0_094084_2019-11-10_final
2019-11-10 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-11-10_final
2019-11-10 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-11-10_final
2019-11-10 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-11-10_final
2019-11-10 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-11-10_final
2019-11-22 10:02:52	ga_ls8c_ard_3-2-1_098066_2019-11-22_final
2019-11-22 10:03:16	ga_ls8c_ard_3-1-0_098067_2019-11-22_final
2019-11-22 10:03:40	ga_ls8c_ard_3-1-0_098068_2019-11-22_final
2019-11-22 10:04:04	ga_ls8c_ard_3-1-0_098069_2019-11-22_final
2019-11-22 10:04:28	ga_ls8c_ard_3-1-0_098070_2019-11-22_final
2019-11-22 10:04:52	ga_ls8c_ard_3-1-0_098071_2019-11-22_final
2019-12-24 10:02:49	ga_ls8c_ard_3-2-1_098066_2019-12-24_final
2019-12-24 10:03:13	ga_ls8c_ard_3-1-0_098067_2019-12-24_final
2019-12-24 10:03:37	ga_ls8c_ard_3-1-0_098068_2019-12-24_final
2019-12-24 10:04:01	ga_ls8c_ard_3-1-0_098069_2019-12-24_final
2019-12-24 10:04:24	ga_ls8c_ard_3-1-0_098070_2019-12-24_final
2019-12-24 10:04:48	ga_ls8c_ard_3-1-0_098071_2019-12-24_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-27 09:53:54	ga_ls8c_ard_3-1-0_096075_2020-01-27_final
2020-01-27 09:54:18	ga_ls8c_ard_3-1-0_096076_2020-01-27_final
2020-01-27 09:54:42	ga_ls8c_ard_3-1-0_096077_2020-01-27_final
2020-01-27 09:55:06	ga_ls8c_ard_3-1-0_096078_2020-01-27_final
2020-01-27 09:55:30	ga_ls8c_ard_3-1-0_096079_2020-01-27_final
2020-01-27 09:55:54	ga_ls8c_ard_3-1-0_096080_2020-01-27_final
2020-01-29 09:44:43	ga_ls8c_ard_3-1-0_094083_2020-01-29_final
2020-01-29 09:45:07	ga_ls8c_ard_3-1-0_094084_2020-01-29_final
2020-01-29 09:45:31	ga_ls8c_ard_3-1-0_094085_2020-01-29_final
2020-01-29 09:45:55	ga_ls8c_ard_3-1-0_094086_2020-01-29_final
2020-01-29 09:46:19	ga_ls8c_ard_3-1-0_094087_2020-01-29_final
2020-01-29 09:46:43	ga_ls8c_ard_3-1-0_094088_2020-01-29_final
2020-02-05 09:49:15	ga_ls8c_ard_3-1-0_095079_2020-02-05_final
2020-02-05 09:49:39	ga_ls8c_ard_3-1-0_095080_2020-02-05_final
2020-02-05 09:50:03	ga_ls8c_ard_3-1-0_095081_2020-02-05_final
2020-02-05 09:50:27	ga_ls8c_ard_3-1-0_095082_2020-02-05_final
2020-02-05 09:50:51	ga_ls8c_ard_3-1-0_095083_2020-02-05_final
2020-02-05 09:51:15	ga_ls8c_ard_3-1-0_095084_2020-02-05_final
2020-02-07 09:39:41	ga_ls8c_ard_3-1-0_093086_2020-02-07_final
2020-02-07 09:40:05	ga_ls8c_ard_3-1-0_093087_2020-02-07_final
2020-02-07 09:40:29	ga_ls8c_ard_3-1-0_093088_2020-02-07_final
2023-10-02 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-10-02_final
2023-10-02 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-10-02_final
2023-10-02 09:55:54	ga_ls8c_ard_3-2-1_096080_2023-10-02_final
2023-10-04 09:44:44	ga_ls8c_ard_3-2-1_094083_2023-10-04_final
2023-10-04 09:45:08	ga_ls8c_ard_3-2-1_094084_2023-10-04_final
2023-10-04 09:45:32	ga_ls8c_ard_3-2-1_094085_2023-10-04_final
2023-10-04 09:45:56	ga_ls8c_ard_3-2-1_094086_2023-10-04_final
2023-10-04 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-10-04_final
2023-10-09 09:58:07	ga_ls8c_ard_3-2-1_097070_2023-10-09_final
2023-10-09 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-10-09_final
2023-10-09 09:58:55	ga_ls8c_ard_3-2-1_097072_2023-10-09_final
2023-10-09 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-10-09_final
2023-10-09 09:59:43	ga_ls8c_ard_3-2-1_097074_2023-10-09_final
2023-10-09 10:00:06	ga_ls8c_ard_3-2-1_097075_2023-10-09_final
2023-10-11 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-10-11_final
2023-10-11 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-10-11_final
2023-10-11 09:50:33	ga_ls8c_ard_3-2-1_095082_2023-10-11_final
2023-10-11 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-10-11_final
2023-10-11 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-10-11_final
2023-10-16 10:02:43	ga_ls8c_ard_3-2-1_098066_2023-10-16_final
2023-10-16 10:03:07	ga_ls8c_ard_3-2-1_098067_2023-10-16_final
2023-10-16 10:03:31	ga_ls8c_ard_3-2-1_098068_2023-10-16_final
2023-10-16 10:03:54	ga_ls8c_ard_3-2-1_098069_2023-10-16_final
2023-10-16 10:04:18	ga_ls8c_ard_3-2-1_098070_2023-10-16_final
2023-10-16 10:04:42	ga_ls8c_ard_3-2-1_098071_2023-10-16_final
2023-12-03 10:02:43	ga_ls8c_ard_3-2-1_098066_2023-12-03_final
2023-12-03 10:03:07	ga_ls8c_ard_3-2-1_098067_2023-12-03_final
2023-12-03 10:03:31	ga_ls8c_ard_3-2-1_098068_2023-12-03_final
2023-12-03 10:03:55	ga_ls8c_ard_3-2-1_098069_2023-12-03_final
2023-12-03 10:04:19	ga_ls8c_ard_3-2-1_098070_2023-12-03_final
2023-12-03 10:04:43	ga_ls8c_ard_3-2-1_098071_2023-12-03_final
2023-12-25 09:34:51	ga_ls8c_ard_3-2-1_092089_2023-12-25_final
2023-12-25 09:35:15	ga_ls8c_ard_3-2-1_092090_2023-12-25_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-02-02 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-02_final
2024-02-02 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-02_final
2024-02-02 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-02_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_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