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
2015-02-16 09:43:37	ga_ls8c_ard_3-0-0_094081_2015-02-16_final
2015-02-16 09:44:01	ga_ls8c_ard_3-0-0_094082_2015-02-16_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2015-02-16 09:45:13	ga_ls8c_ard_3-0-0_094085_2015-02-16_final
2015-02-16 09:45:37	ga_ls8c_ard_3-0-0_094086_2015-02-16_final
2015-02-18 09:34:04	ga_ls8c_ard_3-0-0_092088_2015-02-18_final
2015-02-18 09:34:28	ga_ls8c_ard_3-0-0_092089_2015-02-18_final
2015-03-29 09:38:18	ga_ls8c_ard_3-0-0_093084_2015-03-29_final
2015-03-29 09:38:42	ga_ls8c_ard_3-0-0_093085_2015-03-29_final
2015-03-29 09:39:06	ga_ls8c_ard_3-0-0_093086_2015-03-29_final
2015-03-29 09:39:30	ga_ls8c_ard_3-0-0_093087_2015-03-29_final
2015-03-29 09:39:54	ga_ls8c_ard_3-0-0_093088_2015-03-29_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2015-04-01 10:02:22	ga_ls8c_ard_3-0-0_098067_2015-04-01_final
2015-04-01 10:02:46	ga_ls8c_ard_3-0-0_098068_2015-04-01_final
2015-04-14 09:38:13	ga_ls8c_ard_3-0-0_093084_2015-04-14_final
2015-04-14 09:38:37	ga_ls8c_ard_3-0-0_093085_2015-04-14_final
2015-04-14 09:39:01	ga_ls8c_ard_3-0-0_093086_2015-04-14_final
2015-04-14 09:39:25	ga_ls8c_ard_3-0-0_093087_2015-04-14_final
2015-04-14 09:39:49	ga_ls8c_ard_3-0-0_093088_2015-04-14_final
2015-04-16 09:28:39	ga_ls8c_ard_3-0-0_091091_2015-04-15_final
2015-04-28 09:47:17	ga_ls8c_ard_3-0-0_095076_2015-04-28_final
2015-04-28 09:47:41	ga_ls8c_ard_3-0-0_095077_2015-04-28_final
2015-04-28 09:48:05	ga_ls8c_ard_3-0-0_095078_2015-04-28_final
2015-04-28 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-04-28_final
2015-04-28 09:48:53	ga_ls8c_ard_3-0-0_095080_2015-04-28_final
2015-04-28 09:49:16	ga_ls8c_ard_3-0-0_095081_2015-04-28_final
2015-04-28 09:49:40	ga_ls8c_ard_3-0-0_095082_2015-04-28_final
2015-04-30 09:38:05	ga_ls8c_ard_3-0-0_093084_2015-04-30_final
2015-04-30 09:38:29	ga_ls8c_ard_3-0-0_093085_2015-04-30_final
2015-04-30 09:38:53	ga_ls8c_ard_3-0-0_093086_2015-04-30_final
2015-04-30 09:39:17	ga_ls8c_ard_3-0-0_093087_2015-04-30_final
2015-04-30 09:39:41	ga_ls8c_ard_3-0-0_093088_2015-04-30_final
2015-05-16 09:37:51	ga_ls8c_ard_3-0-0_093084_2015-05-16_final
2015-05-16 09:38:15	ga_ls8c_ard_3-0-0_093085_2015-05-16_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-16 09:39:02	ga_ls8c_ard_3-0-0_093087_2015-05-16_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-28 09:55:50	ga_ls8c_ard_3-0-0_097067_2015-05-28_final
2015-05-28 09:56:14	ga_ls8c_ard_3-0-0_097068_2015-05-28_final
2015-05-28 09:56:38	ga_ls8c_ard_3-0-0_097069_2015-05-28_final
2015-05-28 09:57:02	ga_ls8c_ard_3-0-0_097070_2015-05-28_final
2015-05-28 09:57:26	ga_ls8c_ard_3-0-0_097071_2015-05-28_final
2015-05-28 09:57:50	ga_ls8c_ard_3-0-0_097072_2015-05-28_final
2015-05-28 09:58:14	ga_ls8c_ard_3-0-0_097073_2015-05-28_final
2015-05-30 09:47:29	ga_ls8c_ard_3-0-0_095077_2015-05-30_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-05-30 09:48:17	ga_ls8c_ard_3-0-0_095079_2015-05-30_final
2015-05-30 09:48:41	ga_ls8c_ard_3-0-0_095080_2015-05-30_final
2015-05-30 09:49:05	ga_ls8c_ard_3-0-0_095081_2015-05-30_final
2015-05-30 09:49:29	ga_ls8c_ard_3-0-0_095082_2015-05-30_final
2015-06-13 09:56:02	ga_ls8c_ard_3-0-0_097067_2015-06-13_final
2015-06-13 09:56:26	ga_ls8c_ard_3-0-0_097068_2015-06-13_final
2015-06-13 09:56:50	ga_ls8c_ard_3-0-0_097069_2015-06-13_final
2015-06-13 09:57:14	ga_ls8c_ard_3-0-0_097070_2015-06-13_final
2015-06-13 09:57:38	ga_ls8c_ard_3-0-0_097071_2015-06-13_final
2015-06-13 09:58:02	ga_ls8c_ard_3-0-0_097072_2015-06-13_final
2015-06-13 09:58:26	ga_ls8c_ard_3-0-0_097073_2015-06-13_final
2015-06-15 09:47:17	ga_ls8c_ard_3-0-0_095076_2015-06-15_final
2015-06-15 09:47:41	ga_ls8c_ard_3-0-0_095077_2015-06-15_final
2015-06-15 09:48:05	ga_ls8c_ard_3-0-0_095078_2015-06-15_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-06-15 09:48:53	ga_ls8c_ard_3-0-0_095080_2015-06-15_final
2015-06-15 09:49:17	ga_ls8c_ard_3-0-0_095081_2015-06-15_final
2015-06-15 09:49:41	ga_ls8c_ard_3-0-0_095082_2015-06-15_final
2017-04-21 09:28:40	ga_ls8c_ard_3-0-0_091091_2017-04-20_final
2017-06-08 09:28:55	ga_ls8c_ard_3-0-0_091091_2017-06-07_final
2023-03-01 09:48:27	ga_ls8c_ard_3-2-1_095077_2023-03-01_final
2023-03-01 09:48:51	ga_ls8c_ard_3-2-1_095078_2023-03-01_final
2023-03-01 09:49:15	ga_ls8c_ard_3-2-1_095079_2023-03-01_final
2023-03-01 09:49:39	ga_ls8c_ard_3-2-1_095080_2023-03-01_final
2023-03-01 09:50:03	ga_ls8c_ard_3-2-1_095081_2023-03-01_final
2023-03-01 09:50:27	ga_ls8c_ard_3-2-1_095082_2023-03-01_final
2023-03-03 09:38:53	ga_ls8c_ard_3-2-1_093084_2023-03-03_final
2023-03-03 09:39:17	ga_ls8c_ard_3-2-1_093085_2023-03-03_final
2023-03-03 09:39:41	ga_ls8c_ard_3-2-1_093086_2023-03-03_final
2023-03-03 09:40:05	ga_ls8c_ard_3-2-1_093087_2023-03-03_final
2023-03-03 09:40:28	ga_ls8c_ard_3-2-1_093088_2023-03-03_final
2023-03-06 10:02:34	ga_ls8c_ard_3-2-1_098066_2023-03-06_final
2023-03-06 10:02:58	ga_ls8c_ard_3-2-1_098067_2023-03-06_final
2023-03-06 10:03:22	ga_ls8c_ard_3-2-1_098068_2023-03-06_final
2023-03-08 09:52:34	ga_ls8c_ard_3-2-1_096072_2023-03-08_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-08 09:53:22	ga_ls8c_ard_3-2-1_096074_2023-03-08_final
2023-03-08 09:53:46	ga_ls8c_ard_3-2-1_096075_2023-03-08_final
2023-03-08 09:54:10	ga_ls8c_ard_3-2-1_096076_2023-03-08_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
2023-03-19 09:38:45	ga_ls8c_ard_3-2-1_093084_2023-03-19_final
2023-03-19 09:39:09	ga_ls8c_ard_3-2-1_093085_2023-03-19_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-24 09:52:25	ga_ls8c_ard_3-2-1_096072_2023-03-24_final
2023-03-24 09:52:49	ga_ls8c_ard_3-2-1_096073_2023-03-24_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-03-24 09:54:01	ga_ls8c_ard_3-2-1_096076_2023-03-24_final
2023-03-24 09:54:25	ga_ls8c_ard_3-2-1_096077_2023-03-24_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