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
2016-06-17 09:48:54	ga_ls8c_ard_3-0-0_095079_2016-06-17_final
2016-06-17 09:49:18	ga_ls8c_ard_3-0-0_095080_2016-06-17_final
2016-06-17 09:49:42	ga_ls8c_ard_3-0-0_095081_2016-06-17_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2016-09-14 09:44:51	ga_ls8c_ard_3-0-0_094083_2016-09-14_final
2016-09-14 09:45:14	ga_ls8c_ard_3-0-0_094084_2016-09-14_final
2016-09-14 09:45:38	ga_ls8c_ard_3-0-0_094085_2016-09-14_final
2016-09-14 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-14_final
2016-09-14 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-14_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-09-16 09:35:17	ga_ls8c_ard_3-0-0_092090_2016-09-16_final
2016-09-30 09:44:51	ga_ls8c_ard_3-0-0_094083_2016-09-30_final
2016-09-30 09:45:14	ga_ls8c_ard_3-0-0_094084_2016-09-30_final
2016-09-30 09:45:38	ga_ls8c_ard_3-0-0_094085_2016-09-30_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-09-30 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-30_final
2016-09-30 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-30_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2019-01-31 09:57:44	ga_ls8c_ard_3-0-0_097070_2019-01-31_final
2019-01-31 09:58:08	ga_ls8c_ard_3-0-0_097071_2019-01-31_final
2019-01-31 09:58:32	ga_ls8c_ard_3-0-0_097072_2019-01-31_final
2019-01-31 09:58:56	ga_ls8c_ard_3-0-0_097073_2019-01-31_final
2019-01-31 09:59:20	ga_ls8c_ard_3-0-0_097074_2019-01-31_final
2019-01-31 09:59:44	ga_ls8c_ard_3-0-0_097075_2019-01-31_final
2019-01-31 10:00:08	ga_ls8c_ard_3-0-0_097076_2019-01-31_final
2019-02-02 09:48:58	ga_ls8c_ard_3-0-0_095079_2019-02-02_final
2019-02-02 09:49:22	ga_ls8c_ard_3-0-0_095080_2019-02-02_final
2019-02-02 09:49:46	ga_ls8c_ard_3-0-0_095081_2019-02-02_final
2019-02-02 09:50:10	ga_ls8c_ard_3-0-0_095082_2019-02-02_final
2019-02-02 09:50:34	ga_ls8c_ard_3-0-0_095083_2019-02-02_final
2019-02-02 09:50:58	ga_ls8c_ard_3-0-0_095084_2019-02-02_final
2019-03-22 09:48:46	ga_ls8c_ard_3-1-0_095079_2019-03-22_final
2019-03-22 09:49:10	ga_ls8c_ard_3-1-0_095080_2019-03-22_final
2019-03-22 09:49:34	ga_ls8c_ard_3-1-0_095081_2019-03-22_final
2019-03-22 09:49:58	ga_ls8c_ard_3-1-0_095082_2019-03-22_final
2019-03-22 09:50:22	ga_ls8c_ard_3-1-0_095083_2019-03-22_final
2019-03-22 09:50:46	ga_ls8c_ard_3-1-0_095084_2019-03-22_final
2019-04-05 09:57:29	ga_ls8c_ard_3-1-0_097070_2019-04-05_final
2019-04-05 09:57:53	ga_ls8c_ard_3-1-0_097071_2019-04-05_final
2019-04-05 09:58:17	ga_ls8c_ard_3-1-0_097072_2019-04-05_final
2019-04-05 09:58:41	ga_ls8c_ard_3-1-0_097073_2019-04-05_final
2019-04-05 09:59:05	ga_ls8c_ard_3-1-0_097074_2019-04-05_final
2019-04-05 09:59:29	ga_ls8c_ard_3-1-0_097075_2019-04-05_final
2019-04-05 09:59:53	ga_ls8c_ard_3-1-0_097076_2019-04-05_final
2019-04-12 10:02:26	ga_ls8c_ard_3-1-0_098067_2019-04-12_final
2019-04-12 10:02:50	ga_ls8c_ard_3-1-0_098068_2019-04-12_final
2019-04-12 10:03:14	ga_ls8c_ard_3-1-0_098069_2019-04-12_final
2019-04-12 10:03:38	ga_ls8c_ard_3-1-0_098070_2019-04-12_final
2019-04-12 10:04:02	ga_ls8c_ard_3-1-0_098071_2019-04-12_final
2019-04-14 09:53:15	ga_ls8c_ard_3-1-0_096075_2019-04-14_final
2019-04-14 09:53:39	ga_ls8c_ard_3-1-0_096076_2019-04-14_final
2019-04-14 09:54:03	ga_ls8c_ard_3-1-0_096077_2019-04-14_final
2019-04-14 09:54:27	ga_ls8c_ard_3-1-0_096078_2019-04-14_final
2019-04-14 09:54:51	ga_ls8c_ard_3-1-0_096079_2019-04-14_final
2019-04-14 09:55:15	ga_ls8c_ard_3-1-0_096080_2019-04-14_final
2021-10-30 09:45:03	ga_ls8c_ard_3-2-0_094083_2021-10-30_final
2021-10-30 09:45:26	ga_ls8c_ard_3-2-0_094084_2021-10-30_final
2021-10-30 09:45:50	ga_ls8c_ard_3-2-0_094085_2021-10-30_final
2021-10-30 09:46:14	ga_ls8c_ard_3-2-0_094086_2021-10-30_final
2021-10-30 09:46:38	ga_ls8c_ard_3-2-0_094087_2021-10-30_final
2021-10-30 09:47:02	ga_ls8c_ard_3-2-0_094088_2021-10-30_final
2021-11-01 09:35:28	ga_ls8c_ard_3-2-0_092090_2021-11-01_final
2023-05-02 09:57:26	ga_ls8c_ard_3-2-1_097070_2023-05-02_final
2023-05-02 09:57:50	ga_ls8c_ard_3-2-1_097071_2023-05-02_final
2023-05-02 09:58:14	ga_ls8c_ard_3-2-1_097072_2023-05-02_final
2023-05-02 09:58:38	ga_ls8c_ard_3-2-1_097073_2023-05-02_final
2023-05-02 09:59:02	ga_ls8c_ard_3-2-1_097074_2023-05-02_final
2023-05-02 09:59:26	ga_ls8c_ard_3-2-1_097075_2023-05-02_final
2023-05-02 09:59:49	ga_ls8c_ard_3-2-1_097076_2023-05-02_final
2023-05-04 09:48:38	ga_ls8c_ard_3-2-1_095079_2023-05-04_final
2023-05-04 09:49:02	ga_ls8c_ard_3-2-1_095080_2023-05-04_final
2023-05-04 09:49:26	ga_ls8c_ard_3-2-1_095081_2023-05-04_final
2023-05-04 09:49:50	ga_ls8c_ard_3-2-1_095082_2023-05-04_final
2023-05-04 09:50:14	ga_ls8c_ard_3-2-1_095083_2023-05-04_final
2023-05-04 09:50:38	ga_ls8c_ard_3-2-1_095084_2023-05-04_final
2023-06-01 10:08:02	ga_ls8c_ard_3-2-1_099066_2023-06-01_final
2023-06-03 09:57:17	ga_ls8c_ard_3-2-1_097070_2023-06-03_final
2023-06-03 09:57:41	ga_ls8c_ard_3-2-1_097071_2023-06-03_final
2023-06-03 09:58:05	ga_ls8c_ard_3-2-1_097072_2023-06-03_final
2023-06-03 09:58:29	ga_ls8c_ard_3-2-1_097073_2023-06-03_final
2023-06-03 09:58:53	ga_ls8c_ard_3-2-1_097074_2023-06-03_final
2023-06-03 09:59:17	ga_ls8c_ard_3-2-1_097075_2023-06-03_final
2023-06-03 09:59:41	ga_ls8c_ard_3-2-1_097076_2023-06-03_final
2024-04-09 10:02:33	ga_ls8c_ard_3-2-1_098067_2024-04-09_final
2024-04-09 10:02:57	ga_ls8c_ard_3-2-1_098068_2024-04-09_final
2024-04-09 10:03:21	ga_ls8c_ard_3-2-1_098069_2024-04-09_final
2024-04-09 10:03:44	ga_ls8c_ard_3-2-1_098070_2024-04-09_final
2024-04-09 10:04:08	ga_ls8c_ard_3-2-1_098071_2024-04-09_final
2024-04-11 09:53:22	ga_ls8c_ard_3-2-1_096075_2024-04-11_final
2024-04-11 09:53:46	ga_ls8c_ard_3-2-1_096076_2024-04-11_final
2024-04-11 09:54:09	ga_ls8c_ard_3-2-1_096077_2024-04-11_final
2024-04-11 09:54:33	ga_ls8c_ard_3-2-1_096078_2024-04-11_final
2024-04-11 09:54:57	ga_ls8c_ard_3-2-1_096079_2024-04-11_final
2024-04-11 09:55:21	ga_ls8c_ard_3-2-1_096080_2024-04-11_final
2024-04-13 09:44:10	ga_ls8c_ard_3-2-1_094083_2024-04-13_final
2024-04-13 09:44:34	ga_ls8c_ard_3-2-1_094084_2024-04-13_final
2024-04-13 09:44:58	ga_ls8c_ard_3-2-1_094085_2024-04-13_final
2024-04-13 09:45:22	ga_ls8c_ard_3-2-1_094086_2024-04-13_final
2024-04-13 09:45:46	ga_ls8c_ard_3-2-1_094087_2024-04-13_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