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
2023-07-25 09:39:24	ga_ls8c_ard_3-2-1_093086_2023-07-25_final
2023-07-25 09:39:48	ga_ls8c_ard_3-2-1_093087_2023-07-25_final
2023-07-25 09:40:12	ga_ls8c_ard_3-2-1_093088_2023-07-25_final
2023-07-28 10:02:21	ga_ls8c_ard_3-2-1_098066_2023-07-28_final
2023-07-28 10:02:45	ga_ls8c_ard_3-2-1_098067_2023-07-28_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-07-28 10:03:57	ga_ls8c_ard_3-2-1_098070_2023-07-28_final
2023-07-28 10:04:21	ga_ls8c_ard_3-2-1_098071_2023-07-28_final
2023-07-30 09:53:12	ga_ls8c_ard_3-2-1_096074_2023-07-30_final
2023-07-30 09:53:36	ga_ls8c_ard_3-2-1_096075_2023-07-30_final
2023-07-30 09:54:00	ga_ls8c_ard_3-2-1_096076_2023-07-30_final
2023-07-30 09:54:24	ga_ls8c_ard_3-2-1_096077_2023-07-30_final
2023-07-30 09:54:48	ga_ls8c_ard_3-2-1_096078_2023-07-30_final
2023-07-30 09:55:12	ga_ls8c_ard_3-2-1_096079_2023-07-30_final
2023-07-30 09:55:36	ga_ls8c_ard_3-2-1_096080_2023-07-30_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-06 09:57:50	ga_ls8c_ard_3-2-1_097070_2023-08-06_final
2023-08-06 09:58:13	ga_ls8c_ard_3-2-1_097071_2023-08-06_final
2023-08-06 09:58:37	ga_ls8c_ard_3-2-1_097072_2023-08-06_final
2023-08-06 09:59:01	ga_ls8c_ard_3-2-1_097073_2023-08-06_final
2023-08-06 09:59:25	ga_ls8c_ard_3-2-1_097074_2023-08-06_final
2023-08-06 09:59:49	ga_ls8c_ard_3-2-1_097075_2023-08-06_final
2023-08-22 09:57:57	ga_ls8c_ard_3-2-1_097070_2023-08-22_final
2023-08-22 09:58:21	ga_ls8c_ard_3-2-1_097071_2023-08-22_final
2023-08-22 09:58:45	ga_ls8c_ard_3-2-1_097072_2023-08-22_final
2023-08-22 09:59:09	ga_ls8c_ard_3-2-1_097073_2023-08-22_final
2023-08-22 09:59:33	ga_ls8c_ard_3-2-1_097074_2023-08-22_final
2023-08-22 09:59:57	ga_ls8c_ard_3-2-1_097075_2023-08-22_final
2023-08-24 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-08-24_final
2023-08-24 09:49:35	ga_ls8c_ard_3-2-1_095080_2023-08-24_final
2023-08-24 09:49:59	ga_ls8c_ard_3-2-1_095081_2023-08-24_final
2023-08-24 09:50:23	ga_ls8c_ard_3-2-1_095082_2023-08-24_final
2023-08-29 10:02:33	ga_ls8c_ard_3-2-1_098066_2023-08-29_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-08-29 10:03:21	ga_ls8c_ard_3-2-1_098068_2023-08-29_final
2023-08-29 10:03:45	ga_ls8c_ard_3-2-1_098069_2023-08-29_final
2023-08-29 10:04:09	ga_ls8c_ard_3-2-1_098070_2023-08-29_final
2023-08-29 10:04:33	ga_ls8c_ard_3-2-1_098071_2023-08-29_final
2023-08-31 09:53:23	ga_ls8c_ard_3-2-1_096074_2023-08-31_final
2023-08-31 09:53:47	ga_ls8c_ard_3-2-1_096075_2023-08-31_final
2023-08-31 09:54:11	ga_ls8c_ard_3-2-1_096076_2023-08-31_final
2023-08-31 09:54:35	ga_ls8c_ard_3-2-1_096077_2023-08-31_final
2023-08-31 09:54:59	ga_ls8c_ard_3-2-1_096078_2023-08-31_final
2023-08-31 09:55:22	ga_ls8c_ard_3-2-1_096079_2023-08-31_final
2023-08-31 09:55:46	ga_ls8c_ard_3-2-1_096080_2023-08-31_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
2023-11-05 09:44:48	ga_ls8c_ard_3-2-1_094083_2023-11-05_final
2023-11-05 09:45:12	ga_ls8c_ard_3-2-1_094084_2023-11-05_final
2023-11-05 09:45:36	ga_ls8c_ard_3-2-1_094085_2023-11-05_final
2023-11-05 09:46:00	ga_ls8c_ard_3-2-1_094086_2023-11-05_final
2024-04-18 09:57:27	ga_ls8c_ard_3-2-1_097070_2024-04-18_final
2024-04-18 09:57:51	ga_ls8c_ard_3-2-1_097071_2024-04-18_final
2024-04-18 09:58:15	ga_ls8c_ard_3-2-1_097072_2024-04-18_final
2024-04-18 09:58:39	ga_ls8c_ard_3-2-1_097073_2024-04-18_final
2024-04-18 09:59:03	ga_ls8c_ard_3-2-1_097074_2024-04-18_final
2024-04-18 09:59:27	ga_ls8c_ard_3-2-1_097075_2024-04-18_final
2024-04-20 09:48:39	ga_ls8c_ard_3-2-1_095079_2024-04-20_final
2024-04-20 09:49:03	ga_ls8c_ard_3-2-1_095080_2024-04-20_final
2024-04-20 09:49:27	ga_ls8c_ard_3-2-1_095081_2024-04-20_final
2024-04-20 09:49:51	ga_ls8c_ard_3-2-1_095082_2024-04-20_final
2024-04-20 09:50:15	ga_ls8c_ard_3-2-1_095083_2024-04-20_final
2024-04-20 09:50:39	ga_ls8c_ard_3-2-1_095084_2024-04-20_final
2024-04-22 09:39:06	ga_ls8c_ard_3-2-1_093086_2024-04-22_final
2024-04-22 09:39:30	ga_ls8c_ard_3-2-1_093087_2024-04-22_final
2024-04-22 09:39:54	ga_ls8c_ard_3-2-1_093088_2024-04-22_final
2024-04-29 09:44:00	ga_ls8c_ard_3-2-1_094083_2024-04-29_final
2024-04-29 09:44:24	ga_ls8c_ard_3-2-1_094084_2024-04-29_final
2024-04-29 09:44:48	ga_ls8c_ard_3-2-1_094085_2024-04-29_final
2024-04-29 09:45:12	ga_ls8c_ard_3-2-1_094086_2024-04-29_final
2024-04-29 09:45:36	ga_ls8c_ard_3-2-1_094087_2024-04-29_final
2024-05-01 09:34:23	ga_ls8c_ard_3-2-1_092090_2024-05-01_final
2024-05-02 10:08:04	ga_ls8c_ard_3-2-1_099066_2024-05-02_final
2024-05-11 10:02:12	ga_ls8c_ard_3-2-1_098067_2024-05-11_nrt
2024-05-11 10:02:36	ga_ls8c_ard_3-2-1_098068_2024-05-11_nrt
2024-05-11 10:03:00	ga_ls8c_ard_3-2-1_098069_2024-05-11_nrt
2024-05-11 10:03:24	ga_ls8c_ard_3-2-1_098070_2024-05-11_nrt
2024-05-11 10:03:48	ga_ls8c_ard_3-2-1_098071_2024-05-11_nrt
2024-05-13 09:52:35	ga_ls8c_ard_3-2-1_096074_2024-05-13_nrt
2024-05-13 09:52:59	ga_ls8c_ard_3-2-1_096075_2024-05-13_nrt
2024-05-13 09:53:23	ga_ls8c_ard_3-2-1_096076_2024-05-13_nrt
2024-05-13 09:53:47	ga_ls8c_ard_3-2-1_096077_2024-05-13_nrt
2024-05-13 09:54:11	ga_ls8c_ard_3-2-1_096078_2024-05-13_nrt
2024-05-13 09:54:35	ga_ls8c_ard_3-2-1_096079_2024-05-13_nrt
2024-05-13 09:54:58	ga_ls8c_ard_3-2-1_096080_2024-05-13_nrt
2024-05-15 09:43:45	ga_ls8c_ard_3-2-1_094083_2024-05-15_nrt
2024-05-15 09:44:09	ga_ls8c_ard_3-2-1_094084_2024-05-15_nrt
2024-05-15 09:44:33	ga_ls8c_ard_3-2-1_094085_2024-05-15_nrt
2024-05-15 09:44:57	ga_ls8c_ard_3-2-1_094086_2024-05-15_nrt

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