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
2014-01-08 10:04:15	ga_ls8c_ard_3-0-0_098067_2014-01-08_final
2014-01-08 10:04:39	ga_ls8c_ard_3-0-0_098068_2014-01-08_final
2014-01-08 10:05:03	ga_ls8c_ard_3-0-0_098069_2014-01-08_final
2014-01-08 10:05:27	ga_ls8c_ard_3-0-0_098070_2014-01-08_final
2014-01-08 10:05:51	ga_ls8c_ard_3-0-0_098071_2014-01-08_final
2014-01-08 10:06:15	ga_ls8c_ard_3-0-0_098072_2014-01-08_final
2014-01-08 10:06:39	ga_ls8c_ard_3-0-0_098073_2014-01-08_final
2014-01-10 09:55:50	ga_ls8c_ard_3-0-0_096077_2014-01-10_final
2014-01-10 09:56:14	ga_ls8c_ard_3-0-0_096078_2014-01-10_final
2014-01-10 09:56:38	ga_ls8c_ard_3-0-0_096079_2014-01-10_final
2014-01-10 09:57:02	ga_ls8c_ard_3-0-0_096080_2014-01-10_final
2014-01-10 09:57:26	ga_ls8c_ard_3-0-0_096081_2014-01-10_final
2014-01-10 09:57:50	ga_ls8c_ard_3-0-0_096082_2014-01-10_final
2014-01-12 09:46:38	ga_ls8c_ard_3-0-0_094085_2014-01-12_final
2014-01-12 09:47:02	ga_ls8c_ard_3-0-0_094086_2014-01-12_final
2014-01-12 09:47:26	ga_ls8c_ard_3-0-0_094087_2014-01-12_final
2014-02-09 10:03:53	ga_ls8c_ard_3-0-0_098067_2014-02-09_final
2014-02-09 10:04:17	ga_ls8c_ard_3-0-0_098068_2014-02-09_final
2014-02-09 10:04:41	ga_ls8c_ard_3-0-0_098069_2014-02-09_final
2014-02-11 09:55:28	ga_ls8c_ard_3-0-0_096077_2014-02-11_final
2014-02-11 09:55:52	ga_ls8c_ard_3-0-0_096078_2014-02-11_final
2014-02-11 09:56:16	ga_ls8c_ard_3-0-0_096079_2014-02-11_final
2014-02-11 09:56:40	ga_ls8c_ard_3-0-0_096080_2014-02-11_final
2014-05-13 09:40:00	ga_ls8c_ard_3-0-0_093088_2014-05-13_final
2014-05-16 10:02:29	ga_ls8c_ard_3-0-0_098067_2014-05-16_final
2014-05-16 10:02:53	ga_ls8c_ard_3-0-0_098068_2014-05-16_final
2014-05-16 10:04:29	ga_ls8c_ard_3-0-0_098072_2014-05-16_final
2014-05-16 10:04:53	ga_ls8c_ard_3-0-0_098073_2014-05-16_final
2020-06-01 10:02:27	ga_ls8c_ard_3-1-0_098067_2020-06-01_final
2020-06-01 10:02:51	ga_ls8c_ard_3-1-0_098068_2020-06-01_final
2020-06-01 10:03:15	ga_ls8c_ard_3-1-0_098069_2020-06-01_final
2020-06-01 10:03:39	ga_ls8c_ard_3-1-0_098070_2020-06-01_final
2020-06-01 10:04:03	ga_ls8c_ard_3-1-0_098071_2020-06-01_final
2020-06-01 10:04:26	ga_ls8c_ard_3-1-0_098072_2020-06-01_final
2020-06-01 10:04:50	ga_ls8c_ard_3-1-0_098073_2020-06-01_final
2020-06-03 09:54:06	ga_ls8c_ard_3-1-0_096077_2020-06-03_final
2020-06-03 09:54:30	ga_ls8c_ard_3-1-0_096078_2020-06-03_final
2020-06-03 09:54:54	ga_ls8c_ard_3-1-0_096079_2020-06-03_final
2020-06-03 09:55:18	ga_ls8c_ard_3-1-0_096080_2020-06-03_final
2020-06-03 09:55:42	ga_ls8c_ard_3-1-0_096081_2020-06-03_final
2020-06-03 09:56:06	ga_ls8c_ard_3-1-0_096082_2020-06-03_final
2020-06-17 10:02:37	ga_ls8c_ard_3-1-0_098067_2020-06-17_final
2020-06-17 10:03:01	ga_ls8c_ard_3-1-0_098068_2020-06-17_final
2020-06-17 10:03:25	ga_ls8c_ard_3-1-0_098069_2020-06-17_final
2020-06-17 10:03:49	ga_ls8c_ard_3-1-0_098070_2020-06-17_final
2020-06-17 10:04:12	ga_ls8c_ard_3-1-0_098071_2020-06-17_final
2020-06-17 10:04:36	ga_ls8c_ard_3-1-0_098072_2020-06-17_final
2020-06-17 10:05:00	ga_ls8c_ard_3-1-0_098073_2020-06-17_final
2020-06-19 09:54:16	ga_ls8c_ard_3-1-0_096077_2020-06-19_final
2020-06-19 09:54:39	ga_ls8c_ard_3-1-0_096078_2020-06-19_final
2020-06-19 09:55:03	ga_ls8c_ard_3-1-0_096079_2020-06-19_final
2020-06-19 09:55:27	ga_ls8c_ard_3-1-0_096080_2020-06-19_final
2020-06-19 09:55:51	ga_ls8c_ard_3-1-0_096081_2020-06-19_final
2020-06-19 09:56:15	ga_ls8c_ard_3-1-0_096082_2020-06-19_final
2020-07-23 09:45:19	ga_ls8c_ard_3-1-0_094085_2020-07-23_final
2020-07-23 09:45:43	ga_ls8c_ard_3-1-0_094086_2020-07-23_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-07-23 09:46:31	ga_ls8c_ard_3-1-0_094088_2020-07-23_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-08-11 10:08:42	ga_ls8c_ard_3-2-1_099066_2020-08-11_final
2020-08-11 10:09:06	ga_ls8c_ard_3-1-0_099067_2020-08-11_final
2020-08-11 10:09:30	ga_ls8c_ard_3-1-0_099068_2020-08-11_final
2020-08-13 09:58:45	ga_ls8c_ard_3-1-0_097072_2020-08-13_final
2020-08-13 09:59:09	ga_ls8c_ard_3-1-0_097073_2020-08-13_final
2020-08-13 09:59:33	ga_ls8c_ard_3-1-0_097074_2020-08-13_final
2020-08-13 09:59:57	ga_ls8c_ard_3-1-0_097075_2020-08-13_final
2020-08-13 10:00:21	ga_ls8c_ard_3-1-0_097076_2020-08-13_final
2020-08-13 10:00:45	ga_ls8c_ard_3-1-0_097077_2020-08-13_final
2020-08-13 10:01:09	ga_ls8c_ard_3-1-0_097078_2020-08-13_final
2020-08-22 09:54:39	ga_ls8c_ard_3-1-0_096077_2020-08-22_final
2020-08-22 09:55:03	ga_ls8c_ard_3-1-0_096078_2020-08-22_final
2020-08-22 09:55:27	ga_ls8c_ard_3-1-0_096079_2020-08-22_final
2020-08-22 09:55:51	ga_ls8c_ard_3-1-0_096080_2020-08-22_final
2020-08-22 09:56:15	ga_ls8c_ard_3-1-0_096081_2020-08-22_final
2020-08-22 09:56:39	ga_ls8c_ard_3-1-0_096082_2020-08-22_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2020-08-27 10:09:15	ga_ls8c_ard_3-1-0_099067_2020-08-27_final
2020-08-27 10:09:39	ga_ls8c_ard_3-1-0_099068_2020-08-27_final
2020-10-04 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-10-04_final
2020-10-20 09:40:46	ga_ls8c_ard_3-1-0_093088_2020-10-20_final
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2020-11-15 10:09:25	ga_ls8c_ard_3-1-0_099067_2020-11-15_final
2020-11-15 10:09:49	ga_ls8c_ard_3-1-0_099068_2020-11-15_final
2020-11-19 09:50:18	ga_ls8c_ard_3-1-0_095081_2020-11-19_final
2020-11-19 09:50:42	ga_ls8c_ard_3-1-0_095082_2020-11-19_final
2020-11-19 09:51:06	ga_ls8c_ard_3-1-0_095083_2020-11-19_final
2020-11-19 09:51:30	ga_ls8c_ard_3-1-0_095084_2020-11-19_final
2020-11-19 09:51:54	ga_ls8c_ard_3-1-0_095085_2020-11-19_final
2020-11-19 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-11-19_final
2020-11-21 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-11-21_final
2020-12-05 09:50:21	ga_ls8c_ard_3-1-0_095081_2020-12-05_final
2020-12-05 09:50:45	ga_ls8c_ard_3-1-0_095082_2020-12-05_final
2020-12-05 09:51:09	ga_ls8c_ard_3-1-0_095083_2020-12-05_final
2020-12-05 09:51:33	ga_ls8c_ard_3-1-0_095084_2020-12-05_final
2020-12-05 09:51:57	ga_ls8c_ard_3-1-0_095085_2020-12-05_final
2020-12-05 09:52:21	ga_ls8c_ard_3-1-0_095086_2020-12-05_final
2020-12-07 09:40:47	ga_ls8c_ard_3-1-0_093088_2020-12-07_final
2021-12-22 10:01:28	ga_ls8c_ard_3-2-1_097078_2021-12-22_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-24 09:51:54	ga_ls8c_ard_3-2-1_095085_2021-12-24_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