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
2019-07-08 10:09:03	ga_ls8c_ard_3-1-0_099067_2019-07-08_final
2019-07-08 10:09:27	ga_ls8c_ard_3-1-0_099068_2019-07-08_final
2019-07-08 10:09:51	ga_ls8c_ard_3-1-0_099069_2019-07-08_final
2019-07-10 09:59:06	ga_ls8c_ard_3-1-0_097073_2019-07-10_final
2019-07-10 09:59:30	ga_ls8c_ard_3-1-0_097074_2019-07-10_final
2019-07-10 09:59:54	ga_ls8c_ard_3-1-0_097075_2019-07-10_final
2019-07-10 10:00:17	ga_ls8c_ard_3-1-0_097076_2019-07-10_final
2019-07-10 10:00:41	ga_ls8c_ard_3-1-0_097077_2019-07-10_final
2019-07-10 10:01:05	ga_ls8c_ard_3-1-0_097078_2019-07-10_final
2019-07-10 10:01:29	ga_ls8c_ard_3-1-0_097079_2019-07-10_final
2019-08-27 09:59:21	ga_ls8c_ard_3-1-0_097073_2019-08-27_final
2019-08-27 09:59:45	ga_ls8c_ard_3-1-0_097074_2019-08-27_final
2019-08-27 10:00:09	ga_ls8c_ard_3-1-0_097075_2019-08-27_final
2019-08-27 10:00:33	ga_ls8c_ard_3-1-0_097076_2019-08-27_final
2019-08-27 10:00:57	ga_ls8c_ard_3-1-0_097077_2019-08-27_final
2019-08-27 10:01:20	ga_ls8c_ard_3-1-0_097078_2019-08-27_final
2019-08-27 10:01:44	ga_ls8c_ard_3-1-0_097079_2019-08-27_final
2019-10-14 09:59:33	ga_ls8c_ard_3-1-0_097073_2019-10-14_final
2019-10-14 09:59:57	ga_ls8c_ard_3-1-0_097074_2019-10-14_final
2019-10-14 10:00:21	ga_ls8c_ard_3-1-0_097075_2019-10-14_final
2019-10-14 10:00:45	ga_ls8c_ard_3-1-0_097076_2019-10-14_final
2019-10-16 09:50:23	ga_ls8c_ard_3-1-0_095081_2019-10-16_final
2019-10-16 09:50:47	ga_ls8c_ard_3-1-0_095082_2019-10-16_final
2019-10-16 09:51:11	ga_ls8c_ard_3-1-0_095083_2019-10-16_final
2019-10-16 09:51:35	ga_ls8c_ard_3-1-0_095084_2019-10-16_final
2019-10-16 09:51:59	ga_ls8c_ard_3-1-0_095085_2019-10-16_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2019-10-16 09:52:47	ga_ls8c_ard_3-1-0_095087_2019-10-16_final
2019-12-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2019-12-01_final
2019-12-01 09:59:53	ga_ls8c_ard_3-1-0_097074_2019-12-01_final
2019-12-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2019-12-01_final
2019-12-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2019-12-01_final
2019-12-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2019-12-01_final
2019-12-01 10:01:29	ga_ls8c_ard_3-1-0_097078_2019-12-01_final
2019-12-01 10:01:53	ga_ls8c_ard_3-1-0_097079_2019-12-01_final
2019-12-03 09:50:43	ga_ls8c_ard_3-1-0_095082_2019-12-03_final
2019-12-03 09:51:07	ga_ls8c_ard_3-1-0_095083_2019-12-03_final
2019-12-03 09:51:31	ga_ls8c_ard_3-1-0_095084_2019-12-03_final
2019-12-03 09:51:55	ga_ls8c_ard_3-1-0_095085_2019-12-03_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2019-12-03 09:52:42	ga_ls8c_ard_3-1-0_095087_2019-12-03_final
2021-01-04 10:01:25	ga_ls8c_ard_3-2-0_097078_2021-01-04_final
2021-01-04 10:01:49	ga_ls8c_ard_3-2-0_097079_2021-01-04_final
2021-01-06 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-01-06_final
2021-01-06 09:51:02	ga_ls8c_ard_3-2-0_095083_2021-01-06_final
2021-01-06 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-01-06_final
2021-01-06 09:51:50	ga_ls8c_ard_3-2-0_095085_2021-01-06_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-01-06 09:52:38	ga_ls8c_ard_3-2-0_095087_2021-01-06_final
2021-04-08 10:08:28	ga_ls8c_ard_3-2-1_099066_2021-04-08_final
2021-04-08 10:08:52	ga_ls8c_ard_3-2-0_099067_2021-04-08_final
2021-04-08 10:09:16	ga_ls8c_ard_3-2-0_099068_2021-04-08_final
2021-04-08 10:09:40	ga_ls8c_ard_3-2-0_099069_2021-04-08_final
2021-04-10 09:58:53	ga_ls8c_ard_3-2-0_097073_2021-04-10_final
2021-04-10 09:59:17	ga_ls8c_ard_3-2-0_097074_2021-04-10_final
2021-04-10 09:59:41	ga_ls8c_ard_3-2-0_097075_2021-04-10_final
2021-04-10 10:00:05	ga_ls8c_ard_3-2-0_097076_2021-04-10_final
2021-04-10 10:00:29	ga_ls8c_ard_3-2-0_097077_2021-04-10_final
2021-04-10 10:00:53	ga_ls8c_ard_3-2-0_097078_2021-04-10_final
2021-04-10 10:01:17	ga_ls8c_ard_3-2-0_097079_2021-04-10_final
2023-02-13 09:50:17	ga_ls8c_ard_3-2-1_095081_2023-02-13_final
2023-02-13 09:50:41	ga_ls8c_ard_3-2-1_095082_2023-02-13_final
2023-02-13 09:51:05	ga_ls8c_ard_3-2-1_095083_2023-02-13_final
2023-02-13 09:51:29	ga_ls8c_ard_3-2-1_095084_2023-02-13_final
2023-02-13 09:51:53	ga_ls8c_ard_3-2-1_095085_2023-02-13_final
2023-02-13 09:52:17	ga_ls8c_ard_3-2-1_095086_2023-02-13_final
2023-02-13 09:52:41	ga_ls8c_ard_3-2-1_095087_2023-02-13_final
2023-02-18 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-02-18_final
2023-02-18 10:03:58	ga_ls8c_ard_3-2-1_098069_2023-02-18_final
2023-02-18 10:04:22	ga_ls8c_ard_3-2-1_098070_2023-02-18_final
2023-02-18 10:04:46	ga_ls8c_ard_3-2-1_098071_2023-02-18_final
2023-02-18 10:05:10	ga_ls8c_ard_3-2-1_098072_2023-02-18_final
2023-02-18 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-02-18_final
2023-02-18 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-02-18_final
2023-02-20 09:54:45	ga_ls8c_ard_3-2-1_096077_2023-02-20_final
2023-02-20 09:55:09	ga_ls8c_ard_3-2-1_096078_2023-02-20_final
2023-02-20 09:55:33	ga_ls8c_ard_3-2-1_096079_2023-02-20_final
2023-02-20 09:55:57	ga_ls8c_ard_3-2-1_096080_2023-02-20_final
2023-02-20 09:56:21	ga_ls8c_ard_3-2-1_096081_2023-02-20_final
2023-02-20 09:56:45	ga_ls8c_ard_3-2-1_096082_2023-02-20_final
2023-02-20 09:57:09	ga_ls8c_ard_3-2-1_096083_2023-02-20_final
2023-02-22 09:45:32	ga_ls8c_ard_3-2-1_094085_2023-02-22_final
2023-02-22 09:45:56	ga_ls8c_ard_3-2-1_094086_2023-02-22_final
2023-02-22 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-02-22_final
2023-03-06 10:03:22	ga_ls8c_ard_3-2-1_098068_2023-03-06_final
2023-03-06 10:03:46	ga_ls8c_ard_3-2-1_098069_2023-03-06_final
2023-03-06 10:04:10	ga_ls8c_ard_3-2-1_098070_2023-03-06_final
2023-03-06 10:04:34	ga_ls8c_ard_3-2-1_098071_2023-03-06_final
2023-03-06 10:04:58	ga_ls8c_ard_3-2-1_098072_2023-03-06_final
2023-03-06 10:05:22	ga_ls8c_ard_3-2-1_098073_2023-03-06_final
2023-03-06 10:05:45	ga_ls8c_ard_3-2-1_098074_2023-03-06_final
2023-03-08 09:54:34	ga_ls8c_ard_3-2-1_096077_2023-03-08_final
2023-03-08 09:54:58	ga_ls8c_ard_3-2-1_096078_2023-03-08_final
2023-03-08 09:55:22	ga_ls8c_ard_3-2-1_096079_2023-03-08_final
2023-03-08 09:55:45	ga_ls8c_ard_3-2-1_096080_2023-03-08_final
2023-03-08 09:56:09	ga_ls8c_ard_3-2-1_096081_2023-03-08_final
2023-03-08 09:56:33	ga_ls8c_ard_3-2-1_096082_2023-03-08_final
2023-03-08 09:56:57	ga_ls8c_ard_3-2-1_096083_2023-03-08_final
2023-03-10 09:45:23	ga_ls8c_ard_3-2-1_094085_2023-03-10_final
2023-03-10 09:45:47	ga_ls8c_ard_3-2-1_094086_2023-03-10_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