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
2015-01-19 09:16:42	ga_ls8c_ard_3-0-0_090075_2015-01-18_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-20 09:16:55	ga_ls8c_ard_3-0-0_090076_2015-02-19_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-02-20 09:17:43	ga_ls8c_ard_3-0-0_090078_2015-02-19_final
2015-02-20 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-02-19_final
2015-02-27 09:19:52	ga_ls8c_ard_3-0-0_091068_2015-02-26_final
2015-02-27 09:21:28	ga_ls8c_ard_3-0-0_091072_2015-02-26_final
2015-02-27 09:21:52	ga_ls8c_ard_3-0-0_091073_2015-02-26_final
2015-02-27 09:22:16	ga_ls8c_ard_3-0-0_091074_2015-02-26_final
2015-03-01 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-02-28_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-01 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-02-28_final
2015-03-01 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-02-28_final
2015-03-01 09:13:05	ga_ls8c_ard_3-0-0_089082_2015-02-28_final
2015-03-01 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-02-28_final
2015-03-24 09:15:50	ga_ls8c_ard_3-0-0_090074_2015-03-23_final
2015-03-24 09:16:14	ga_ls8c_ard_3-0-0_090075_2015-03-23_final
2015-03-24 09:16:38	ga_ls8c_ard_3-0-0_090076_2015-03-23_final
2015-03-24 09:17:02	ga_ls8c_ard_3-0-0_090077_2015-03-23_final
2015-03-24 09:17:26	ga_ls8c_ard_3-0-0_090078_2015-03-23_final
2015-03-24 09:17:50	ga_ls8c_ard_3-0-0_090079_2015-03-23_final
2015-04-09 09:16:04	ga_ls8c_ard_3-0-0_090075_2015-04-08_final
2015-04-09 09:16:28	ga_ls8c_ard_3-0-0_090076_2015-04-08_final
2015-04-09 09:16:52	ga_ls8c_ard_3-0-0_090077_2015-04-08_final
2015-04-09 09:17:16	ga_ls8c_ard_3-0-0_090078_2015-04-08_final
2015-04-09 09:17:40	ga_ls8c_ard_3-0-0_090079_2015-04-08_final
2015-04-11 09:06:30	ga_ls8c_ard_3-0-0_088082_2015-04-10_final
2015-04-11 09:06:54	ga_ls8c_ard_3-0-0_088083_2015-04-10_final
2015-04-11 09:07:18	ga_ls8c_ard_3-0-0_088084_2015-04-10_final
2015-04-18 09:11:06	ga_ls8c_ard_3-0-0_089078_2015-04-17_final
2015-04-18 09:11:30	ga_ls8c_ard_3-0-0_089079_2015-04-17_final
2015-04-18 09:11:54	ga_ls8c_ard_3-0-0_089080_2015-04-17_final
2015-04-18 09:12:18	ga_ls8c_ard_3-0-0_089081_2015-04-17_final
2015-04-18 09:12:42	ga_ls8c_ard_3-0-0_089082_2015-04-17_final
2015-04-18 09:13:05	ga_ls8c_ard_3-0-0_089083_2015-04-17_final
2015-04-23 09:25:13	ga_ls8c_ard_3-0-0_092067_2015-04-22_final
2015-04-23 09:25:37	ga_ls8c_ard_3-0-0_092068_2015-04-22_final
2015-05-04 09:10:54	ga_ls8c_ard_3-0-0_089078_2015-05-03_final
2015-05-04 09:11:17	ga_ls8c_ard_3-0-0_089079_2015-05-03_final
2015-05-04 09:11:41	ga_ls8c_ard_3-0-0_089080_2015-05-03_final
2015-05-04 09:12:05	ga_ls8c_ard_3-0-0_089081_2015-05-03_final
2015-05-04 09:12:29	ga_ls8c_ard_3-0-0_089082_2015-05-03_final
2015-05-04 09:12:53	ga_ls8c_ard_3-0-0_089083_2015-05-03_final
2015-05-25 09:24:56	ga_ls8c_ard_3-0-0_092067_2015-05-24_final
2015-05-25 09:25:20	ga_ls8c_ard_3-0-0_092068_2015-05-24_final
2015-06-19 09:19:24	ga_ls8c_ard_3-0-0_091068_2015-06-18_final
2015-06-19 09:20:59	ga_ls8c_ard_3-0-0_091072_2015-06-18_final
2015-06-19 09:21:23	ga_ls8c_ard_3-0-0_091073_2015-06-18_final
2015-06-19 09:21:47	ga_ls8c_ard_3-0-0_091074_2015-06-18_final
2015-06-26 09:25:11	ga_ls8c_ard_3-0-0_092067_2015-06-25_final
2015-06-26 09:25:35	ga_ls8c_ard_3-0-0_092068_2015-06-25_final
2015-08-13 09:25:33	ga_ls8c_ard_3-0-0_092067_2015-08-12_final
2015-08-13 09:25:57	ga_ls8c_ard_3-0-0_092068_2015-08-12_final
2015-08-29 09:25:40	ga_ls8c_ard_3-0-0_092067_2015-08-28_final
2015-08-29 09:26:04	ga_ls8c_ard_3-0-0_092068_2015-08-28_final
2015-10-16 09:25:52	ga_ls8c_ard_3-0-0_092067_2015-10-15_final
2015-10-16 09:26:16	ga_ls8c_ard_3-0-0_092068_2015-10-15_final
2015-11-17 09:26:00	ga_ls8c_ard_3-0-0_092067_2015-11-16_final
2015-11-17 09:26:24	ga_ls8c_ard_3-0-0_092068_2015-11-16_final
2017-03-27 09:25:29	ga_ls8c_ard_3-0-0_092067_2017-03-26_final
2017-03-27 09:25:52	ga_ls8c_ard_3-0-0_092068_2017-03-26_final
2017-03-29 09:15:54	ga_ls8c_ard_3-0-0_090074_2017-03-28_final
2017-03-29 09:16:18	ga_ls8c_ard_3-0-0_090075_2017-03-28_final
2017-03-29 09:16:42	ga_ls8c_ard_3-0-0_090076_2017-03-28_final
2017-03-29 09:17:06	ga_ls8c_ard_3-0-0_090077_2017-03-28_final
2017-03-29 09:17:30	ga_ls8c_ard_3-0-0_090078_2017-03-28_final
2017-03-29 09:17:53	ga_ls8c_ard_3-0-0_090079_2017-03-28_final
2017-05-16 09:15:44	ga_ls8c_ard_3-0-0_090074_2017-05-15_final
2017-05-16 09:16:08	ga_ls8c_ard_3-0-0_090075_2017-05-15_final
2017-05-16 09:16:32	ga_ls8c_ard_3-0-0_090076_2017-05-15_final
2017-05-16 09:16:56	ga_ls8c_ard_3-1-0_090077_2017-05-15_final
2017-05-16 09:17:20	ga_ls8c_ard_3-0-0_090078_2017-05-15_final
2017-05-16 09:17:44	ga_ls8c_ard_3-0-0_090079_2017-05-15_final
2017-06-17 09:16:01	ga_ls8c_ard_3-0-0_090074_2017-06-16_final
2017-06-17 09:16:25	ga_ls8c_ard_3-0-0_090075_2017-06-16_final
2017-06-17 09:16:49	ga_ls8c_ard_3-0-0_090076_2017-06-16_final
2017-06-17 09:17:13	ga_ls8c_ard_3-0-0_090077_2017-06-16_final
2017-06-17 09:17:37	ga_ls8c_ard_3-0-0_090078_2017-06-16_final
2017-06-17 09:18:01	ga_ls8c_ard_3-0-0_090079_2017-06-16_final
2017-06-19 09:06:51	ga_ls8c_ard_3-0-0_088082_2017-06-18_final
2017-06-19 09:07:15	ga_ls8c_ard_3-0-0_088083_2017-06-18_final
2017-06-19 09:07:39	ga_ls8c_ard_3-0-0_088084_2017-06-18_final
2017-08-04 09:16:17	ga_ls8c_ard_3-0-0_090074_2017-08-03_final
2017-08-04 09:16:41	ga_ls8c_ard_3-0-0_090075_2017-08-03_final
2017-08-04 09:17:05	ga_ls8c_ard_3-0-0_090076_2017-08-03_final
2017-08-04 09:17:29	ga_ls8c_ard_3-0-0_090077_2017-08-03_final
2017-08-04 09:17:53	ga_ls8c_ard_3-0-0_090078_2017-08-03_final
2017-08-04 09:18:17	ga_ls8c_ard_3-0-0_090079_2017-08-03_final
2017-08-06 09:07:08	ga_ls8c_ard_3-0-0_088082_2017-08-05_final
2017-08-06 09:07:32	ga_ls8c_ard_3-0-0_088083_2017-08-05_final
2017-08-06 09:07:56	ga_ls8c_ard_3-0-0_088084_2017-08-05_final
2018-05-19 09:15:16	ga_ls8c_ard_3-0-0_090074_2018-05-18_final
2018-05-19 09:15:40	ga_ls8c_ard_3-0-0_090075_2018-05-18_final
2018-05-19 09:16:04	ga_ls8c_ard_3-0-0_090076_2018-05-18_final
2018-05-19 09:16:28	ga_ls8c_ard_3-0-0_090077_2018-05-18_final
2018-05-19 09:16:52	ga_ls8c_ard_3-0-0_090078_2018-05-18_final
2018-05-19 09:17:16	ga_ls8c_ard_3-0-0_090079_2018-05-18_final
2018-06-22 09:06:06	ga_ls8c_ard_3-0-0_088082_2018-06-21_final
2018-06-22 09:06:30	ga_ls8c_ard_3-0-0_088083_2018-06-21_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