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
2015-01-10 09:20:08	ga_ls8c_ard_3-0-0_091068_2015-01-09_final
2015-01-10 09:21:44	ga_ls8c_ard_3-0-0_091072_2015-01-09_final
2015-01-12 09:10:58	ga_ls8c_ard_3-0-0_089076_2015-01-11_final
2015-01-12 09:11:22	ga_ls8c_ard_3-0-0_089077_2015-01-11_final
2015-01-12 09:11:46	ga_ls8c_ard_3-0-0_089078_2015-01-11_final
2015-01-12 09:12:10	ga_ls8c_ard_3-0-0_089079_2015-01-11_final
2015-01-12 09:12:34	ga_ls8c_ard_3-0-0_089080_2015-01-11_final
2015-01-12 09:12:58	ga_ls8c_ard_3-0-0_089081_2015-01-11_final
2015-04-16 09:19:28	ga_ls8c_ard_3-0-0_091068_2015-04-15_final
2015-04-16 09:21:04	ga_ls8c_ard_3-0-0_091072_2015-04-15_final
2015-05-02 09:19:18	ga_ls8c_ard_3-0-0_091068_2015-05-01_final
2015-05-02 09:20:54	ga_ls8c_ard_3-0-0_091072_2015-05-01_final
2015-05-18 09:19:07	ga_ls8c_ard_3-0-0_091068_2015-05-17_final
2015-05-18 09:20:43	ga_ls8c_ard_3-0-0_091072_2015-05-17_final
2015-06-21 09:09:50	ga_ls8c_ard_3-0-0_089075_2015-06-20_final
2015-06-21 09:10:14	ga_ls8c_ard_3-0-0_089076_2015-06-20_final
2015-06-21 09:10:38	ga_ls8c_ard_3-0-0_089077_2015-06-20_final
2015-06-21 09:11:02	ga_ls8c_ard_3-0-0_089078_2015-06-20_final
2015-06-21 09:11:26	ga_ls8c_ard_3-0-0_089079_2015-06-20_final
2015-06-21 09:11:50	ga_ls8c_ard_3-0-0_089080_2015-06-20_final
2015-06-21 09:12:14	ga_ls8c_ard_3-0-0_089081_2015-06-20_final
2017-03-20 09:19:45	ga_ls8c_ard_3-0-0_091068_2017-03-19_final
2017-03-20 09:21:21	ga_ls8c_ard_3-0-0_091072_2017-03-19_final
2017-04-21 09:19:29	ga_ls8c_ard_3-0-0_091068_2017-04-20_final
2017-04-21 09:21:05	ga_ls8c_ard_3-0-0_091072_2017-04-20_final
2017-04-28 09:25:11	ga_ls8c_ard_3-0-0_092067_2017-04-27_final
2017-05-07 09:19:25	ga_ls8c_ard_3-0-0_091068_2017-05-06_final
2017-05-07 09:21:01	ga_ls8c_ard_3-0-0_091072_2017-05-06_final
2017-06-15 09:25:34	ga_ls8c_ard_3-0-0_092067_2017-06-14_final
2017-06-24 09:19:50	ga_ls8c_ard_3-0-0_091068_2017-06-23_final
2017-06-24 09:21:26	ga_ls8c_ard_3-0-0_091072_2017-06-23_final
2017-08-11 09:20:07	ga_ls8c_ard_3-0-0_091068_2017-08-10_final
2017-08-11 09:21:42	ga_ls8c_ard_3-0-0_091072_2017-08-10_final
2020-06-02 09:10:02	ga_ls8c_ard_3-1-0_089075_2020-06-01_final
2020-06-02 09:10:26	ga_ls8c_ard_3-1-0_089076_2020-06-01_final
2020-06-02 09:10:50	ga_ls8c_ard_3-1-0_089077_2020-06-01_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-06-02 09:11:37	ga_ls8c_ard_3-1-0_089079_2020-06-01_final
2020-06-02 09:12:01	ga_ls8c_ard_3-1-0_089080_2020-06-01_final
2020-06-02 09:12:25	ga_ls8c_ard_3-1-0_089081_2020-06-01_final
2020-06-09 09:15:53	ga_ls8c_ard_3-1-0_090074_2020-06-08_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-06-09 09:16:41	ga_ls8c_ard_3-1-0_090076_2020-06-08_final
2020-06-09 09:17:05	ga_ls8c_ard_3-1-0_090077_2020-06-08_final
2020-06-25 09:16:02	ga_ls8c_ard_3-1-0_090074_2020-06-24_final
2020-06-25 09:16:26	ga_ls8c_ard_3-1-0_090075_2020-06-24_final
2020-06-25 09:16:50	ga_ls8c_ard_3-1-0_090076_2020-06-24_final
2020-07-04 09:10:19	ga_ls8c_ard_3-1-0_089075_2020-07-03_final
2020-07-04 09:10:43	ga_ls8c_ard_3-1-0_089076_2020-07-03_final
2020-07-04 09:11:07	ga_ls8c_ard_3-1-0_089077_2020-07-03_final
2020-07-04 09:11:31	ga_ls8c_ard_3-1-0_089078_2020-07-03_final
2020-07-04 09:11:55	ga_ls8c_ard_3-1-0_089079_2020-07-03_final
2020-07-04 09:12:19	ga_ls8c_ard_3-1-0_089080_2020-07-03_final
2020-07-04 09:12:43	ga_ls8c_ard_3-1-0_089081_2020-07-03_final
2020-07-11 09:16:09	ga_ls8c_ard_3-1-0_090074_2020-07-10_final
2020-07-11 09:16:33	ga_ls8c_ard_3-1-0_090075_2020-07-10_final
2020-07-11 09:16:57	ga_ls8c_ard_3-1-0_090076_2020-07-10_final
2020-07-20 09:10:25	ga_ls8c_ard_3-1-0_089075_2020-07-19_final
2020-07-20 09:10:49	ga_ls8c_ard_3-1-0_089076_2020-07-19_final
2020-07-20 09:11:13	ga_ls8c_ard_3-1-0_089077_2020-07-19_final
2020-07-25 09:25:47	ga_ls8c_ard_3-1-0_092067_2020-07-24_final
2020-07-29 09:06:16	ga_ls8c_ard_3-1-0_088080_2020-07-28_final
2020-07-29 09:06:40	ga_ls8c_ard_3-1-0_088081_2020-07-28_final
2020-07-29 09:07:04	ga_ls8c_ard_3-1-0_088082_2020-07-28_final
2020-07-29 09:07:28	ga_ls8c_ard_3-1-0_088083_2020-07-28_final
2020-07-29 09:07:52	ga_ls8c_ard_3-1-0_088084_2020-07-28_final
2020-08-12 09:16:17	ga_ls8c_ard_3-1-0_090074_2020-08-11_final
2020-08-12 09:16:41	ga_ls8c_ard_3-1-0_090075_2020-08-11_final
2020-08-12 09:17:05	ga_ls8c_ard_3-1-0_090076_2020-08-11_final
2020-08-12 09:17:29	ga_ls8c_ard_3-1-0_090077_2020-08-11_final
2020-08-28 09:16:25	ga_ls8c_ard_3-1-0_090074_2020-08-27_final
2020-08-28 09:16:49	ga_ls8c_ard_3-1-0_090075_2020-08-27_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-08-28 09:17:37	ga_ls8c_ard_3-1-0_090077_2020-08-27_final
2020-08-30 09:06:28	ga_ls8c_ard_3-1-0_088080_2020-08-29_final
2020-08-30 09:06:52	ga_ls8c_ard_3-1-0_088081_2020-08-29_final
2020-08-30 09:07:16	ga_ls8c_ard_3-1-0_088082_2020-08-29_final
2020-08-30 09:07:40	ga_ls8c_ard_3-1-0_088083_2020-08-29_final
2020-08-30 09:08:04	ga_ls8c_ard_3-1-0_088084_2020-08-29_final
2020-09-06 09:10:43	ga_ls8c_ard_3-1-0_089075_2020-09-05_final
2020-09-06 09:11:06	ga_ls8c_ard_3-1-0_089076_2020-09-05_final
2020-09-06 09:11:30	ga_ls8c_ard_3-1-0_089077_2020-09-05_final
2020-09-06 09:11:54	ga_ls8c_ard_3-1-0_089078_2020-09-05_final
2020-09-06 09:12:18	ga_ls8c_ard_3-1-0_089079_2020-09-05_final
2020-09-06 09:12:42	ga_ls8c_ard_3-1-0_089080_2020-09-05_final
2020-09-06 09:13:06	ga_ls8c_ard_3-1-0_089081_2020-09-05_final
2020-09-13 09:16:32	ga_ls8c_ard_3-1-0_090074_2020-09-12_final
2020-09-13 09:16:56	ga_ls8c_ard_3-1-0_090075_2020-09-12_final
2020-09-13 09:17:20	ga_ls8c_ard_3-1-0_090076_2020-09-12_final
2020-09-13 09:17:44	ga_ls8c_ard_3-1-0_090077_2020-09-12_final
2020-09-20 09:21:57	ga_ls8c_ard_3-1-0_091072_2020-09-19_final
2020-09-22 09:10:48	ga_ls8c_ard_3-1-0_089075_2020-09-21_final
2020-09-22 09:11:12	ga_ls8c_ard_3-1-0_089076_2020-09-21_final
2020-09-22 09:11:36	ga_ls8c_ard_3-1-0_089077_2020-09-21_final
2020-09-22 09:12:00	ga_ls8c_ard_3-1-0_089078_2020-09-21_final
2020-09-22 09:12:24	ga_ls8c_ard_3-1-0_089079_2020-09-21_final
2020-09-22 09:12:48	ga_ls8c_ard_3-1-0_089080_2020-09-21_final
2020-09-22 09:13:12	ga_ls8c_ard_3-1-0_089081_2020-09-21_final
2020-09-27 09:26:10	ga_ls8c_ard_3-1-0_092067_2020-09-26_final
2020-10-13 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-12_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