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
2013-10-24 09:46:23	ga_ls8c_ard_3-0-0_094083_2013-10-24_final
2013-10-24 09:46:47	ga_ls8c_ard_3-0-0_094084_2013-10-24_final
2013-10-24 09:47:11	ga_ls8c_ard_3-0-0_094085_2013-10-24_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-10-24 09:47:59	ga_ls8c_ard_3-0-0_094087_2013-10-24_final
2017-10-24 09:58:16	ga_ls8c_ard_3-0-0_097070_2017-10-24_final
2017-10-24 09:58:40	ga_ls8c_ard_3-0-0_097071_2017-10-24_final
2017-10-24 09:59:04	ga_ls8c_ard_3-0-0_097072_2017-10-24_final
2017-10-24 09:59:28	ga_ls8c_ard_3-0-0_097073_2017-10-24_final
2017-10-24 09:59:52	ga_ls8c_ard_3-0-0_097074_2017-10-24_final
2017-10-24 10:00:16	ga_ls8c_ard_3-0-0_097075_2017-10-24_final
2017-11-02 09:53:41	ga_ls8c_ard_3-0-0_096074_2017-11-02_final
2017-11-02 09:54:05	ga_ls8c_ard_3-0-0_096075_2017-11-02_final
2017-11-02 09:54:28	ga_ls8c_ard_3-0-0_096076_2017-11-02_final
2017-11-02 09:54:52	ga_ls8c_ard_3-0-0_096077_2017-11-02_final
2017-11-02 09:55:16	ga_ls8c_ard_3-0-0_096078_2017-11-02_final
2017-11-02 09:55:40	ga_ls8c_ard_3-0-0_096079_2017-11-02_final
2017-11-02 09:56:04	ga_ls8c_ard_3-0-0_096080_2017-11-02_final
2017-11-04 09:44:54	ga_ls8c_ard_3-0-0_094083_2017-11-04_final
2017-11-04 09:45:18	ga_ls8c_ard_3-0-0_094084_2017-11-04_final
2017-11-04 09:45:42	ga_ls8c_ard_3-0-0_094085_2017-11-04_final
2017-11-04 09:46:06	ga_ls8c_ard_3-0-0_094086_2017-11-04_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-11-04 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-11-04_final
2017-11-16 10:02:48	ga_ls8c_ard_3-2-1_098066_2017-11-16_final
2017-11-16 10:03:12	ga_ls8c_ard_3-0-0_098067_2017-11-16_final
2017-11-16 10:03:35	ga_ls8c_ard_3-0-0_098068_2017-11-16_final
2017-11-16 10:03:59	ga_ls8c_ard_3-0-0_098069_2017-11-16_final
2017-11-16 10:04:23	ga_ls8c_ard_3-0-0_098070_2017-11-16_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-11-22 09:35:15	ga_ls8c_ard_3-0-0_092090_2017-11-22_final
2017-12-20 09:53:35	ga_ls8c_ard_3-0-0_096074_2017-12-20_final
2017-12-20 09:53:59	ga_ls8c_ard_3-0-0_096075_2017-12-20_final
2017-12-20 09:54:22	ga_ls8c_ard_3-0-0_096076_2017-12-20_final
2017-12-20 09:54:46	ga_ls8c_ard_3-0-0_096077_2017-12-20_final
2017-12-20 09:55:10	ga_ls8c_ard_3-0-0_096078_2017-12-20_final
2017-12-20 09:55:34	ga_ls8c_ard_3-0-0_096079_2017-12-20_final
2017-12-20 09:55:58	ga_ls8c_ard_3-0-0_096080_2017-12-20_final
2017-12-22 09:44:49	ga_ls8c_ard_3-1-0_094083_2017-12-22_final
2017-12-22 09:45:13	ga_ls8c_ard_3-0-0_094084_2017-12-22_final
2017-12-22 09:45:37	ga_ls8c_ard_3-0-0_094085_2017-12-22_final
2017-12-22 09:46:01	ga_ls8c_ard_3-0-0_094086_2017-12-22_final
2017-12-22 09:46:25	ga_ls8c_ard_3-0-0_094087_2017-12-22_final
2017-12-22 09:46:48	ga_ls8c_ard_3-0-0_094088_2017-12-22_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
2020-11-17 09:58:16	ga_ls8c_ard_3-1-0_097070_2020-11-17_final
2020-11-17 09:58:40	ga_ls8c_ard_3-1-0_097071_2020-11-17_final
2020-11-17 09:59:03	ga_ls8c_ard_3-1-0_097072_2020-11-17_final
2020-11-17 09:59:27	ga_ls8c_ard_3-1-0_097073_2020-11-17_final
2020-11-17 09:59:51	ga_ls8c_ard_3-1-0_097074_2020-11-17_final
2020-11-17 10:00:15	ga_ls8c_ard_3-1-0_097075_2020-11-17_final
2020-12-23 09:39:57	ga_ls8c_ard_3-2-0_093086_2020-12-23_final
2020-12-23 09:40:21	ga_ls8c_ard_3-2-0_093087_2020-12-23_final
2020-12-23 09:40:45	ga_ls8c_ard_3-2-0_093088_2020-12-23_final
2020-12-26 10:02:52	ga_ls8c_ard_3-2-1_098066_2020-12-26_final
2020-12-26 10:03:16	ga_ls8c_ard_3-2-0_098067_2020-12-26_final
2020-12-26 10:03:40	ga_ls8c_ard_3-2-0_098068_2020-12-26_final
2020-12-26 10:04:03	ga_ls8c_ard_3-2-0_098069_2020-12-26_final
2020-12-26 10:04:27	ga_ls8c_ard_3-2-0_098070_2020-12-26_final
2020-12-28 09:53:41	ga_ls8c_ard_3-2-0_096074_2020-12-28_final
2020-12-28 09:54:05	ga_ls8c_ard_3-2-0_096075_2020-12-28_final
2020-12-28 09:54:29	ga_ls8c_ard_3-2-0_096076_2020-12-28_final
2020-12-28 09:54:53	ga_ls8c_ard_3-2-0_096077_2020-12-28_final
2020-12-28 09:55:17	ga_ls8c_ard_3-2-0_096078_2020-12-28_final
2020-12-28 09:55:41	ga_ls8c_ard_3-2-0_096079_2020-12-28_final
2020-12-28 09:56:05	ga_ls8c_ard_3-2-0_096080_2020-12-28_final
2020-12-30 09:44:54	ga_ls8c_ard_3-2-0_094083_2020-12-30_final
2020-12-30 09:45:18	ga_ls8c_ard_3-2-0_094084_2020-12-30_final
2020-12-30 09:45:42	ga_ls8c_ard_3-2-0_094085_2020-12-30_final
2020-12-30 09:46:06	ga_ls8c_ard_3-2-0_094086_2020-12-30_final
2020-12-30 09:46:30	ga_ls8c_ard_3-2-0_094087_2020-12-30_final
2020-12-30 09:46:54	ga_ls8c_ard_3-2-0_094088_2020-12-30_final
2021-08-07 10:02:39	ga_ls8c_ard_3-2-1_098066_2021-08-07_final
2021-08-07 10:03:03	ga_ls8c_ard_3-2-0_098067_2021-08-07_final
2021-08-07 10:03:27	ga_ls8c_ard_3-2-0_098068_2021-08-07_final
2021-08-07 10:03:51	ga_ls8c_ard_3-2-0_098069_2021-08-07_final
2021-08-07 10:04:15	ga_ls8c_ard_3-2-0_098070_2021-08-07_final
2022-02-01 09:53:31	ga_ls8c_ard_3-2-1_096074_2022-02-01_final
2022-02-01 09:53:55	ga_ls8c_ard_3-2-1_096075_2022-02-01_final
2022-02-01 09:54:19	ga_ls8c_ard_3-2-1_096076_2022-02-01_final
2022-02-01 09:54:43	ga_ls8c_ard_3-2-1_096077_2022-02-01_final
2022-02-01 09:55:07	ga_ls8c_ard_3-2-1_096078_2022-02-01_final
2022-02-01 09:55:31	ga_ls8c_ard_3-2-1_096079_2022-02-01_final
2022-02-01 09:55:55	ga_ls8c_ard_3-2-1_096080_2022-02-01_final
2022-02-03 09:44:45	ga_ls8c_ard_3-2-1_094083_2022-02-03_final
2022-02-03 09:45:09	ga_ls8c_ard_3-2-1_094084_2022-02-03_final
2022-02-03 09:45:33	ga_ls8c_ard_3-2-1_094085_2022-02-03_final
2022-02-03 09:45:57	ga_ls8c_ard_3-2-1_094086_2022-02-03_final
2022-02-03 09:46:21	ga_ls8c_ard_3-2-1_094087_2022-02-03_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-05 09:35:11	ga_ls8c_ard_3-2-1_092090_2022-02-05_final
2023-05-29 09:43:55	ga_ls8c_ard_3-2-1_094083_2023-05-29_final
2023-05-29 09:44:19	ga_ls8c_ard_3-2-1_094084_2023-05-29_final
2023-05-29 09:44:43	ga_ls8c_ard_3-2-1_094085_2023-05-29_final
2023-05-29 09:45:07	ga_ls8c_ard_3-2-1_094086_2023-05-29_final
2023-05-29 09:45:31	ga_ls8c_ard_3-2-1_094087_2023-05-29_final
2023-05-31 09:33:57	ga_ls8c_ard_3-2-1_092089_2023-05-31_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