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
2019-01-06 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
2019-11-01 09:49:35	ga_ls8c_ard_3-1-0_095079_2019-11-01_final
2019-11-01 09:49:59	ga_ls8c_ard_3-1-0_095080_2019-11-01_final
2019-11-01 09:50:23	ga_ls8c_ard_3-1-0_095081_2019-11-01_final
2019-11-01 09:50:47	ga_ls8c_ard_3-1-0_095082_2019-11-01_final
2019-11-01 09:51:11	ga_ls8c_ard_3-1-0_095083_2019-11-01_final
2019-11-01 09:51:35	ga_ls8c_ard_3-1-0_095084_2019-11-01_final
2019-11-03 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-11-03_final
2019-11-03 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-11-03_final
2019-11-03 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-11-03_final
2019-12-28 09:44:51	ga_ls8c_ard_3-1-0_094083_2019-12-28_final
2019-12-28 09:45:15	ga_ls8c_ard_3-1-0_094084_2019-12-28_final
2019-12-28 09:45:39	ga_ls8c_ard_3-1-0_094085_2019-12-28_final
2019-12-28 09:46:03	ga_ls8c_ard_3-1-0_094086_2019-12-28_final
2019-12-28 09:46:27	ga_ls8c_ard_3-1-0_094087_2019-12-28_final
2019-12-28 09:46:51	ga_ls8c_ard_3-1-0_094088_2019-12-28_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-02-23 09:39:38	ga_ls8c_ard_3-1-0_093086_2020-02-23_final
2020-02-23 09:40:02	ga_ls8c_ard_3-1-0_093087_2020-02-23_final
2020-02-23 09:40:26	ga_ls8c_ard_3-1-0_093088_2020-02-23_final
2021-04-12 09:48:55	ga_ls8c_ard_3-2-0_095079_2021-04-12_final
2021-04-12 09:49:18	ga_ls8c_ard_3-2-0_095080_2021-04-12_final
2021-04-12 09:49:42	ga_ls8c_ard_3-2-0_095081_2021-04-12_final
2021-04-12 09:50:06	ga_ls8c_ard_3-2-0_095082_2021-04-12_final
2021-04-12 09:50:30	ga_ls8c_ard_3-2-0_095083_2021-04-12_final
2021-04-12 09:50:54	ga_ls8c_ard_3-2-0_095084_2021-04-12_final
2021-04-14 09:39:20	ga_ls8c_ard_3-2-0_093086_2021-04-14_final
2021-04-14 09:39:44	ga_ls8c_ard_3-2-0_093087_2021-04-14_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-17 10:02:14	ga_ls8c_ard_3-2-1_098066_2021-04-17_final
2021-04-17 10:02:38	ga_ls8c_ard_3-2-0_098067_2021-04-17_final
2021-04-17 10:03:01	ga_ls8c_ard_3-2-0_098068_2021-04-17_final
2021-04-17 10:03:25	ga_ls8c_ard_3-2-0_098069_2021-04-17_final
2021-04-17 10:03:49	ga_ls8c_ard_3-2-0_098070_2021-04-17_final
2021-04-17 10:04:13	ga_ls8c_ard_3-2-0_098071_2021-04-17_final
2021-04-19 09:53:02	ga_ls8c_ard_3-2-0_096074_2021-04-19_final
2021-04-19 09:53:26	ga_ls8c_ard_3-2-0_096075_2021-04-19_final
2021-04-19 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-04-19_final
2021-04-19 09:54:14	ga_ls8c_ard_3-2-0_096077_2021-04-19_final
2021-04-19 09:54:38	ga_ls8c_ard_3-2-0_096078_2021-04-19_final
2021-04-19 09:55:02	ga_ls8c_ard_3-2-0_096079_2021-04-19_final
2021-04-19 09:55:26	ga_ls8c_ard_3-2-0_096080_2021-04-19_final
2021-04-21 09:44:15	ga_ls8c_ard_3-2-0_094083_2021-04-21_final
2021-04-21 09:44:39	ga_ls8c_ard_3-2-0_094084_2021-04-21_final
2021-04-21 09:45:03	ga_ls8c_ard_3-2-0_094085_2021-04-21_final
2021-04-21 09:45:27	ga_ls8c_ard_3-2-0_094086_2021-04-21_final
2021-04-21 09:45:51	ga_ls8c_ard_3-2-0_094087_2021-04-21_final
2021-04-21 09:46:15	ga_ls8c_ard_3-2-0_094088_2021-04-21_final
2021-04-23 09:34:16	ga_ls8c_ard_3-2-0_092089_2021-04-23_final
2021-04-23 09:34:40	ga_ls8c_ard_3-2-0_092090_2021-04-23_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_final
2021-08-20 09:40:36	ga_ls8c_ard_3-2-0_093088_2021-08-20_final
2021-08-29 09:34:51	ga_ls8c_ard_3-2-0_092089_2021-08-29_final
2021-08-29 09:35:15	ga_ls8c_ard_3-2-0_092090_2021-08-29_final
2021-08-30 10:08:57	ga_ls8c_ard_3-2-1_099066_2021-08-30_final
2021-09-03 09:49:26	ga_ls8c_ard_3-2-0_095079_2021-09-03_final
2021-09-03 09:49:50	ga_ls8c_ard_3-2-0_095080_2021-09-03_final
2021-09-03 09:50:14	ga_ls8c_ard_3-2-0_095081_2021-09-03_final
2021-09-03 09:50:38	ga_ls8c_ard_3-2-0_095082_2021-09-03_final
2021-09-03 09:51:02	ga_ls8c_ard_3-2-0_095083_2021-09-03_final
2021-09-03 09:51:26	ga_ls8c_ard_3-2-0_095084_2021-09-03_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_final
2023-10-20 09:45:09	ga_ls8c_ard_3-2-1_094084_2023-10-20_final
2023-10-20 09:45:33	ga_ls8c_ard_3-2-1_094085_2023-10-20_final
2023-10-20 09:45:57	ga_ls8c_ard_3-2-1_094086_2023-10-20_final
2023-10-20 09:46:21	ga_ls8c_ard_3-2-1_094087_2023-10-20_final
2023-10-25 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-10-25_final
2023-10-25 09:59:45	ga_ls8c_ard_3-2-1_097074_2023-10-25_final
2023-10-25 10:00:09	ga_ls8c_ard_3-2-1_097075_2023-10-25_final
2023-10-27 09:49:24	ga_ls8c_ard_3-2-1_095079_2023-10-27_final
2023-10-27 09:49:48	ga_ls8c_ard_3-2-1_095080_2023-10-27_final
2023-10-27 09:50:12	ga_ls8c_ard_3-2-1_095081_2023-10-27_final
2023-10-27 09:50:36	ga_ls8c_ard_3-2-1_095082_2023-10-27_final
2023-10-27 09:51:00	ga_ls8c_ard_3-2-1_095083_2023-10-27_final
2023-10-27 09:51:24	ga_ls8c_ard_3-2-1_095084_2023-10-27_final
2023-11-03 09:53:35	ga_ls8c_ard_3-2-1_096074_2023-11-03_final
2023-11-03 09:53:59	ga_ls8c_ard_3-2-1_096075_2023-11-03_final
2023-11-03 09:54:23	ga_ls8c_ard_3-2-1_096076_2023-11-03_final
2023-11-03 09:54:47	ga_ls8c_ard_3-2-1_096077_2023-11-03_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-03 09:55:35	ga_ls8c_ard_3-2-1_096079_2023-11-03_final
2023-11-03 09:55:59	ga_ls8c_ard_3-2-1_096080_2023-11-03_final
2023-12-09 09:34:46	ga_ls8c_ard_3-2-1_092089_2023-12-09_final
2023-12-09 09:35:10	ga_ls8c_ard_3-2-1_092090_2023-12-09_final
2023-12-10 10:08:52	ga_ls8c_ard_3-2-1_099066_2023-12-10_final
2023-12-21 09:53:36	ga_ls8c_ard_3-2-1_096074_2023-12-21_final
2023-12-21 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-12-21_final
2023-12-21 09:54:24	ga_ls8c_ard_3-2-1_096076_2023-12-21_final
2023-12-21 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-12-21_final
2023-12-21 09:55:12	ga_ls8c_ard_3-2-1_096078_2023-12-21_final
2023-12-21 09:55:36	ga_ls8c_ard_3-2-1_096079_2023-12-21_final
2023-12-21 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-12-21_final
2023-12-23 09:44:50	ga_ls8c_ard_3-2-1_094083_2023-12-23_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-23 09:45:38	ga_ls8c_ard_3-2-1_094085_2023-12-23_final
2023-12-23 09:46:02	ga_ls8c_ard_3-2-1_094086_2023-12-23_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