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
2016-05-11 09:25:25	ga_ls8c_ard_3-0-0_092067_2016-05-10_final
2016-05-11 09:25:49	ga_ls8c_ard_3-0-0_092068_2016-05-10_final
2016-05-27 09:25:30	ga_ls8c_ard_3-0-0_092067_2016-05-26_final
2016-05-27 09:25:54	ga_ls8c_ard_3-0-0_092068_2016-05-26_final
2016-07-18 09:07:30	ga_ls8c_ard_3-0-0_088083_2016-07-17_final
2016-07-18 09:07:54	ga_ls8c_ard_3-0-0_088084_2016-07-17_final
2017-07-17 09:25:42	ga_ls8c_ard_3-0-0_092067_2017-07-16_final
2017-07-17 09:26:06	ga_ls8c_ard_3-0-0_092068_2017-07-16_final
2017-08-02 09:25:50	ga_ls8c_ard_3-0-0_092067_2017-08-01_final
2017-08-02 09:26:14	ga_ls8c_ard_3-0-0_092068_2017-08-01_final
2017-08-18 09:25:56	ga_ls8c_ard_3-0-0_092067_2017-08-17_final
2017-08-18 09:26:20	ga_ls8c_ard_3-0-0_092068_2017-08-17_final
2017-10-05 09:26:07	ga_ls8c_ard_3-0-0_092067_2017-10-04_final
2017-10-05 09:26:31	ga_ls8c_ard_3-0-0_092068_2017-10-04_final
2020-10-08 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-07_final
2020-10-08 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-07_final
2020-10-08 09:13:14	ga_ls8c_ard_3-1-0_089081_2020-10-07_final
2020-10-08 09:13:38	ga_ls8c_ard_3-1-0_089082_2020-10-07_final
2020-10-08 09:14:02	ga_ls8c_ard_3-1-0_089083_2020-10-07_final
2020-10-08 09:14:26	ga_ls8c_ard_3-1-0_089084_2020-10-07_final
2020-10-13 09:27:48	ga_ls8c_ard_3-1-0_092071_2020-10-12_final
2020-10-15 09:16:38	ga_ls8c_ard_3-1-0_090074_2020-10-14_final
2020-10-15 09:17:02	ga_ls8c_ard_3-1-0_090075_2020-10-14_final
2020-10-15 09:17:26	ga_ls8c_ard_3-1-0_090076_2020-10-14_final
2020-10-15 09:17:50	ga_ls8c_ard_3-1-0_090077_2020-10-14_final
2020-10-15 09:18:14	ga_ls8c_ard_3-1-0_090078_2020-10-14_final
2020-10-15 09:18:38	ga_ls8c_ard_3-1-0_090079_2020-10-14_final
2020-10-15 09:19:02	ga_ls8c_ard_3-1-0_090080_2020-10-14_final
2020-10-17 09:07:52	ga_ls8c_ard_3-1-0_088083_2020-10-16_final
2020-10-17 09:08:16	ga_ls8c_ard_3-1-0_088084_2020-10-16_final
2020-10-24 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-23_final
2020-10-24 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-23_final
2020-10-24 09:13:15	ga_ls8c_ard_3-1-0_089081_2020-10-23_final
2020-10-24 09:13:39	ga_ls8c_ard_3-1-0_089082_2020-10-23_final
2020-10-24 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-10-23_final
2020-10-24 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-10-23_final
2020-10-29 09:27:47	ga_ls8c_ard_3-1-0_092071_2020-10-28_final
2020-11-16 09:16:59	ga_ls8c_ard_3-1-0_090075_2020-11-15_final
2020-11-30 09:27:49	ga_ls8c_ard_3-1-0_092071_2020-11-29_final
2020-12-02 09:16:39	ga_ls8c_ard_3-1-0_090074_2020-12-01_final
2020-12-02 09:17:03	ga_ls8c_ard_3-1-0_090075_2020-12-01_final
2020-12-02 09:17:27	ga_ls8c_ard_3-1-0_090076_2020-12-01_final
2020-12-02 09:17:51	ga_ls8c_ard_3-1-0_090077_2020-12-01_final
2020-12-02 09:18:15	ga_ls8c_ard_3-1-0_090078_2020-12-01_final
2020-12-02 09:18:39	ga_ls8c_ard_3-1-0_090079_2020-12-01_final
2020-12-02 09:19:03	ga_ls8c_ard_3-1-0_090080_2020-12-01_final
2020-12-04 09:07:53	ga_ls8c_ard_3-1-0_088083_2020-12-03_final
2020-12-04 09:08:17	ga_ls8c_ard_3-1-0_088084_2020-12-03_final
2020-12-11 09:12:28	ga_ls8c_ard_3-1-0_089079_2020-12-10_final
2020-12-11 09:12:52	ga_ls8c_ard_3-1-0_089080_2020-12-10_final
2020-12-11 09:13:16	ga_ls8c_ard_3-1-0_089081_2020-12-10_final
2020-12-11 09:13:40	ga_ls8c_ard_3-1-0_089082_2020-12-10_final
2020-12-11 09:14:04	ga_ls8c_ard_3-1-0_089083_2020-12-10_final
2020-12-11 09:14:28	ga_ls8c_ard_3-1-0_089084_2020-12-10_final
2021-01-01 09:26:09	ga_ls8c_ard_3-2-0_092067_2020-12-31_final
2021-01-01 09:26:33	ga_ls8c_ard_3-2-0_092068_2020-12-31_final
2021-01-01 09:27:45	ga_ls8c_ard_3-2-0_092071_2020-12-31_final
2021-01-10 09:21:54	ga_ls8c_ard_3-2-0_091072_2021-01-09_final
2021-01-10 09:22:18	ga_ls8c_ard_3-2-0_091073_2021-01-09_final
2021-01-10 09:22:42	ga_ls8c_ard_3-2-0_091074_2021-01-09_final
2021-01-10 09:23:06	ga_ls8c_ard_3-2-0_091075_2021-01-09_final
2021-01-10 09:23:30	ga_ls8c_ard_3-2-0_091076_2021-01-09_final
2021-03-06 09:25:49	ga_ls8c_ard_3-2-0_092067_2021-03-05_final
2021-03-06 09:26:13	ga_ls8c_ard_3-2-0_092068_2021-03-05_final
2021-03-06 09:27:24	ga_ls8c_ard_3-2-0_092071_2021-03-05_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-08 09:17:25	ga_ls8c_ard_3-2-0_090077_2021-03-07_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-03-08 09:18:13	ga_ls8c_ard_3-2-0_090079_2021-03-07_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2022-04-19 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-04-18_final
2022-04-19 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-04-18_final
2022-04-19 09:22:18	ga_ls8c_ard_3-2-1_091074_2022-04-18_final
2022-04-19 09:22:42	ga_ls8c_ard_3-2-1_091075_2022-04-18_final
2022-04-26 09:27:15	ga_ls8c_ard_3-2-1_092071_2022-04-25_final
2022-04-28 09:16:04	ga_ls8c_ard_3-2-1_090074_2022-04-27_final
2022-04-28 09:16:27	ga_ls8c_ard_3-2-1_090075_2022-04-27_final
2022-04-28 09:16:51	ga_ls8c_ard_3-2-1_090076_2022-04-27_final
2022-04-28 09:17:15	ga_ls8c_ard_3-2-1_090077_2022-04-27_final
2022-04-28 09:17:39	ga_ls8c_ard_3-2-1_090078_2022-04-27_final
2022-04-28 09:18:03	ga_ls8c_ard_3-2-1_090079_2022-04-27_final
2022-04-28 09:18:27	ga_ls8c_ard_3-2-1_090080_2022-04-27_final
2022-05-05 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-05-04_final
2022-05-05 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-05-04_final
2022-05-05 09:22:19	ga_ls8c_ard_3-2-1_091074_2022-05-04_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-07 09:11:59	ga_ls8c_ard_3-2-1_089079_2022-05-06_final
2022-05-07 09:12:22	ga_ls8c_ard_3-2-1_089080_2022-05-06_final
2022-05-07 09:12:46	ga_ls8c_ard_3-2-1_089081_2022-05-06_final
2022-05-07 09:13:10	ga_ls8c_ard_3-2-1_089082_2022-05-06_final
2022-05-07 09:13:34	ga_ls8c_ard_3-2-1_089083_2022-05-06_final
2022-05-07 09:13:58	ga_ls8c_ard_3-2-1_089084_2022-05-06_final
2022-05-12 09:27:22	ga_ls8c_ard_3-2-1_092071_2022-05-11_final
2022-05-14 09:16:13	ga_ls8c_ard_3-2-1_090074_2022-05-13_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-14 09:17:25	ga_ls8c_ard_3-2-1_090077_2022-05-13_final
2022-05-14 09:17:49	ga_ls8c_ard_3-2-1_090078_2022-05-13_final
2022-05-14 09:18:13	ga_ls8c_ard_3-2-1_090079_2022-05-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years