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
2013-04-22 09:52:11	ga_ls8c_ard_3-0-0_095082_2013-04-22_final
2013-04-22 09:52:35	ga_ls8c_ard_3-0-0_095083_2013-04-22_final
2013-04-22 09:52:59	ga_ls8c_ard_3-0-0_095084_2013-04-22_final
2013-07-02 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-07-02_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 09:57:21	ga_ls8c_ard_3-0-0_096079_2013-07-02_final
2013-07-02 09:57:45	ga_ls8c_ard_3-0-0_096080_2013-07-02_final
2013-07-02 09:58:09	ga_ls8c_ard_3-0-0_096081_2013-07-02_final
2013-07-02 09:58:33	ga_ls8c_ard_3-0-0_096082_2013-07-02_final
2013-07-04 09:47:23	ga_ls8c_ard_3-0-0_094085_2013-07-04_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-04 09:48:11	ga_ls8c_ard_3-0-0_094087_2013-07-04_final
2013-08-12 09:52:00	ga_ls8c_ard_3-0-0_095081_2013-08-12_final
2013-08-12 09:52:24	ga_ls8c_ard_3-0-0_095082_2013-08-12_final
2013-08-12 09:52:48	ga_ls8c_ard_3-0-0_095083_2013-08-12_final
2013-08-12 09:53:12	ga_ls8c_ard_3-0-0_095084_2013-08-12_final
2013-08-12 09:53:36	ga_ls8c_ard_3-0-0_095085_2013-08-12_final
2013-08-12 09:54:00	ga_ls8c_ard_3-0-0_095086_2013-08-12_final
2013-09-11 10:00:46	ga_ls8c_ard_3-0-0_097072_2013-09-11_final
2013-09-11 10:02:22	ga_ls8c_ard_3-0-0_097076_2013-09-11_final
2013-09-11 10:02:46	ga_ls8c_ard_3-0-0_097077_2013-09-11_final
2013-09-11 10:03:10	ga_ls8c_ard_3-0-0_097078_2013-09-11_final
2013-09-13 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-09-13_final
2013-09-13 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-09-13_final
2013-09-13 09:52:47	ga_ls8c_ard_3-0-0_095083_2013-09-13_final
2013-09-13 09:53:11	ga_ls8c_ard_3-0-0_095084_2013-09-13_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-10-29 10:00:28	ga_ls8c_ard_3-0-0_097072_2013-10-29_final
2013-10-29 10:00:52	ga_ls8c_ard_3-0-0_097073_2013-10-29_final
2013-10-29 10:01:16	ga_ls8c_ard_3-0-0_097074_2013-10-29_final
2013-10-29 10:01:40	ga_ls8c_ard_3-0-0_097075_2013-10-29_final
2013-10-29 10:02:04	ga_ls8c_ard_3-0-0_097076_2013-10-29_final
2013-10-29 10:02:28	ga_ls8c_ard_3-0-0_097077_2013-10-29_final
2013-10-29 10:02:52	ga_ls8c_ard_3-0-0_097078_2013-10-29_final
2013-10-31 09:51:43	ga_ls8c_ard_3-0-0_095081_2013-10-31_final
2013-10-31 09:52:07	ga_ls8c_ard_3-0-0_095082_2013-10-31_final
2013-10-31 09:52:31	ga_ls8c_ard_3-0-0_095083_2013-10-31_final
2013-10-31 09:52:55	ga_ls8c_ard_3-0-0_095084_2013-10-31_final
2013-10-31 09:53:19	ga_ls8c_ard_3-0-0_095085_2013-10-31_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-12 10:10:51	ga_ls8c_ard_3-0-0_099067_2013-11-12_final
2013-11-12 10:11:15	ga_ls8c_ard_3-0-0_099068_2013-11-12_final
2013-11-14 10:00:28	ga_ls8c_ard_3-0-0_097072_2013-11-14_final
2013-11-14 10:00:52	ga_ls8c_ard_3-0-0_097073_2013-11-14_final
2013-11-14 10:01:16	ga_ls8c_ard_3-0-0_097074_2013-11-14_final
2013-11-14 10:01:40	ga_ls8c_ard_3-0-0_097075_2013-11-14_final
2013-11-14 10:02:04	ga_ls8c_ard_3-0-0_097076_2013-11-14_final
2013-11-14 10:02:28	ga_ls8c_ard_3-0-0_097077_2013-11-14_final
2013-11-14 10:02:52	ga_ls8c_ard_3-0-0_097078_2013-11-14_final
2015-01-18 10:09:08	ga_ls8c_ard_3-0-0_099067_2015-01-18_final
2015-01-18 10:09:32	ga_ls8c_ard_3-0-0_099068_2015-01-18_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
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-19 10:08:57	ga_ls8c_ard_3-0-0_099067_2015-02-19_final
2015-02-19 10:09:20	ga_ls8c_ard_3-0-0_099068_2015-02-19_final
2015-02-28 10:02:44	ga_ls8c_ard_3-0-0_098067_2015-02-28_final
2015-02-28 10:03:08	ga_ls8c_ard_3-0-0_098068_2015-02-28_final
2015-02-28 10:03:32	ga_ls8c_ard_3-0-0_098069_2015-02-28_final
2015-02-28 10:03:55	ga_ls8c_ard_3-0-0_098070_2015-02-28_final
2015-02-28 10:04:19	ga_ls8c_ard_3-1-0_098071_2015-02-28_final
2015-02-28 10:04:43	ga_ls8c_ard_3-0-0_098072_2015-02-28_final
2015-02-28 10:05:07	ga_ls8c_ard_3-0-0_098073_2015-02-28_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-22 10:02:49	ga_ls8c_ard_3-2-1_098067_2023-03-22_final
2023-03-22 10:03:13	ga_ls8c_ard_3-2-1_098068_2023-03-22_final
2023-03-22 10:03:37	ga_ls8c_ard_3-2-1_098069_2023-03-22_final
2023-03-22 10:04:01	ga_ls8c_ard_3-2-1_098070_2023-03-22_final
2023-03-22 10:04:25	ga_ls8c_ard_3-2-1_098071_2023-03-22_final
2023-03-22 10:04:48	ga_ls8c_ard_3-2-1_098072_2023-03-22_final
2023-03-22 10:05:12	ga_ls8c_ard_3-2-1_098073_2023-03-22_final
2023-03-24 09:54:25	ga_ls8c_ard_3-2-1_096077_2023-03-24_final
2023-03-24 09:54:49	ga_ls8c_ard_3-2-1_096078_2023-03-24_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_final
2023-03-24 09:55:37	ga_ls8c_ard_3-2-1_096080_2023-03-24_final
2023-03-24 09:56:00	ga_ls8c_ard_3-2-1_096081_2023-03-24_final
2023-03-24 09:56:24	ga_ls8c_ard_3-2-1_096082_2023-03-24_final
2023-04-25 09:54:06	ga_ls8c_ard_3-2-1_096077_2023-04-25_final
2023-04-25 09:54:30	ga_ls8c_ard_3-2-1_096078_2023-04-25_final
2023-04-25 09:54:54	ga_ls8c_ard_3-2-1_096079_2023-04-25_final
2023-04-25 09:55:17	ga_ls8c_ard_3-2-1_096080_2023-04-25_final
2023-04-25 09:55:41	ga_ls8c_ard_3-2-1_096081_2023-04-25_final
2023-04-25 09:56:05	ga_ls8c_ard_3-2-1_096082_2023-04-25_final
2023-04-27 09:44:55	ga_ls8c_ard_3-2-1_094085_2023-04-27_final
2023-04-27 09:45:19	ga_ls8c_ard_3-2-1_094086_2023-04-27_final
2023-04-27 09:45:43	ga_ls8c_ard_3-2-1_094087_2023-04-27_final
2023-11-14 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-11-14_final
2023-11-17 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-11-17_final
2023-11-17 10:04:45	ga_ls8c_ard_3-2-1_098071_2023-11-17_final
2023-11-17 10:05:09	ga_ls8c_ard_3-2-1_098072_2023-11-17_final
2023-11-17 10:05:33	ga_ls8c_ard_3-2-1_098073_2023-11-17_final
2023-11-19 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-11-19_final
2023-11-19 09:55:12	ga_ls8c_ard_3-2-1_096078_2023-11-19_final
2023-11-19 09:55:36	ga_ls8c_ard_3-2-1_096079_2023-11-19_final
2023-11-19 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-11-19_final
2023-11-19 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-11-19_final
2023-11-19 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-11-19_final
2023-11-21 09:45:39	ga_ls8c_ard_3-2-1_094085_2023-11-21_final
2023-11-21 09:46:03	ga_ls8c_ard_3-2-1_094086_2023-11-21_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