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
2018-02-28 09:16:01	ga_ls8c_ard_3-0-0_090074_2018-02-27_final
2018-02-28 09:16:25	ga_ls8c_ard_3-0-0_090075_2018-02-27_final
2018-02-28 09:16:49	ga_ls8c_ard_3-0-0_090076_2018-02-27_final
2018-02-28 09:17:13	ga_ls8c_ard_3-0-0_090077_2018-02-27_final
2018-02-28 09:17:37	ga_ls8c_ard_3-0-0_090078_2018-02-27_final
2018-02-28 09:18:00	ga_ls8c_ard_3-0-0_090079_2018-02-27_final
2018-02-28 09:18:24	ga_ls8c_ard_3-0-0_090080_2018-02-27_final
2018-03-16 09:15:51	ga_ls8c_ard_3-0-0_090074_2018-03-15_final
2018-03-16 09:16:15	ga_ls8c_ard_3-0-0_090075_2018-03-15_final
2018-03-16 09:16:39	ga_ls8c_ard_3-0-0_090076_2018-03-15_final
2018-03-16 09:17:03	ga_ls8c_ard_3-0-0_090077_2018-03-15_final
2018-03-16 09:17:27	ga_ls8c_ard_3-0-0_090078_2018-03-15_final
2018-03-16 09:17:51	ga_ls8c_ard_3-0-0_090079_2018-03-15_final
2018-03-16 09:18:15	ga_ls8c_ard_3-0-0_090080_2018-03-15_final
2018-04-03 09:06:58	ga_ls8c_ard_3-0-0_088083_2018-04-02_final
2018-04-03 09:07:22	ga_ls8c_ard_3-0-0_088084_2018-04-02_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2018-05-21 09:06:28	ga_ls8c_ard_3-0-0_088083_2018-05-20_final
2018-05-21 09:06:52	ga_ls8c_ard_3-0-0_088084_2018-05-20_final
2018-06-04 09:15:05	ga_ls8c_ard_3-0-0_090074_2018-06-03_final
2018-06-04 09:15:29	ga_ls8c_ard_3-0-0_090075_2018-06-03_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-06-04 09:16:41	ga_ls8c_ard_3-0-0_090078_2018-06-03_final
2018-06-04 09:17:04	ga_ls8c_ard_3-0-0_090079_2018-06-03_final
2018-06-04 09:17:28	ga_ls8c_ard_3-0-0_090080_2018-06-03_final
2018-07-20 09:25:04	ga_ls8c_ard_3-0-0_092067_2018-07-19_final
2018-07-20 09:25:28	ga_ls8c_ard_3-0-0_092068_2018-07-19_final
2021-03-17 09:11:57	ga_ls8c_ard_3-2-0_089079_2021-03-16_final
2021-03-17 09:12:21	ga_ls8c_ard_3-2-0_089080_2021-03-16_final
2021-03-17 09:12:45	ga_ls8c_ard_3-2-0_089081_2021-03-16_final
2021-03-17 09:13:09	ga_ls8c_ard_3-2-0_089082_2021-03-16_final
2021-03-17 09:13:32	ga_ls8c_ard_3-2-0_089083_2021-03-16_final
2021-03-17 09:13:56	ga_ls8c_ard_3-2-0_089084_2021-03-16_final
2021-03-22 09:25:41	ga_ls8c_ard_3-2-0_092067_2021-03-21_final
2021-03-22 09:26:05	ga_ls8c_ard_3-2-0_092068_2021-03-21_final
2021-03-24 09:16:06	ga_ls8c_ard_3-2-0_090074_2021-03-23_final
2021-03-24 09:16:30	ga_ls8c_ard_3-2-0_090075_2021-03-23_final
2021-03-24 09:16:54	ga_ls8c_ard_3-2-0_090076_2021-03-23_final
2021-03-24 09:17:18	ga_ls8c_ard_3-2-0_090077_2021-03-23_final
2021-03-24 09:17:42	ga_ls8c_ard_3-2-0_090078_2021-03-23_final
2021-03-24 09:18:06	ga_ls8c_ard_3-2-0_090079_2021-03-23_final
2021-03-24 09:18:30	ga_ls8c_ard_3-2-0_090080_2021-03-23_final
2021-03-26 09:07:20	ga_ls8c_ard_3-2-0_088083_2021-03-25_final
2021-03-26 09:07:44	ga_ls8c_ard_3-2-0_088084_2021-03-25_final
2021-06-30 09:07:01	ga_ls8c_ard_3-2-0_088082_2021-06-29_final
2021-06-30 09:07:25	ga_ls8c_ard_3-2-0_088083_2021-06-29_final
2021-06-30 09:07:49	ga_ls8c_ard_3-2-0_088084_2021-06-29_final
2021-07-07 09:11:37	ga_ls8c_ard_3-2-0_089078_2021-07-06_final
2021-07-07 09:12:01	ga_ls8c_ard_3-2-0_089079_2021-07-06_final
2021-07-07 09:12:25	ga_ls8c_ard_3-2-0_089080_2021-07-06_final
2021-07-07 09:12:49	ga_ls8c_ard_3-2-0_089081_2021-07-06_final
2021-07-07 09:13:13	ga_ls8c_ard_3-2-0_089082_2021-07-06_final
2021-07-07 09:13:37	ga_ls8c_ard_3-2-0_089083_2021-07-06_final
2021-07-07 09:14:01	ga_ls8c_ard_3-2-0_089084_2021-07-06_final
2021-09-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2021-09-17_final
2021-09-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2021-09-17_final
2021-09-18 09:08:13	ga_ls8c_ard_3-2-0_088084_2021-09-17_final
2021-10-02 09:16:40	ga_ls8c_ard_3-2-0_090074_2021-10-01_final
2021-10-02 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-10-01_final
2021-10-02 09:17:28	ga_ls8c_ard_3-2-0_090076_2021-10-01_final
2021-10-02 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-10-01_final
2021-10-02 09:18:16	ga_ls8c_ard_3-2-0_090078_2021-10-01_final
2021-10-02 09:18:39	ga_ls8c_ard_3-2-0_090079_2021-10-01_final
2021-10-02 09:19:03	ga_ls8c_ard_3-2-0_090080_2021-10-01_final
2021-10-04 09:07:30	ga_ls8c_ard_3-2-0_088082_2021-10-03_final
2021-10-04 09:07:54	ga_ls8c_ard_3-2-0_088083_2021-10-03_final
2021-10-04 09:08:18	ga_ls8c_ard_3-2-0_088084_2021-10-03_final
2021-10-09 09:22:05	ga_ls8c_ard_3-2-0_091072_2021-10-08_final
2021-10-09 09:22:29	ga_ls8c_ard_3-2-0_091073_2021-10-08_final
2021-10-09 09:22:53	ga_ls8c_ard_3-2-0_091074_2021-10-08_final
2021-10-11 09:12:07	ga_ls8c_ard_3-2-0_089078_2021-10-10_final
2021-10-11 09:12:31	ga_ls8c_ard_3-2-0_089079_2021-10-10_final
2021-10-11 09:12:55	ga_ls8c_ard_3-2-0_089080_2021-10-10_final
2021-10-11 09:13:19	ga_ls8c_ard_3-2-0_089081_2021-10-10_final
2021-10-11 09:13:43	ga_ls8c_ard_3-2-0_089082_2021-10-10_final
2021-10-11 09:14:07	ga_ls8c_ard_3-2-0_089083_2021-10-10_final
2021-10-11 09:14:31	ga_ls8c_ard_3-2-0_089084_2021-10-10_final
2022-06-06 09:21:45	ga_ls8c_ard_3-2-1_091072_2022-06-05_final
2022-06-06 09:22:09	ga_ls8c_ard_3-2-1_091073_2022-06-05_final
2022-06-06 09:22:33	ga_ls8c_ard_3-2-1_091074_2022-06-05_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-08 09:11:48	ga_ls8c_ard_3-2-1_089078_2022-06-07_final
2022-06-08 09:12:12	ga_ls8c_ard_3-2-1_089079_2022-06-07_final
2022-06-08 09:12:36	ga_ls8c_ard_3-2-1_089080_2022-06-07_final
2022-06-08 09:13:00	ga_ls8c_ard_3-2-1_089081_2022-06-07_final
2022-06-08 09:13:24	ga_ls8c_ard_3-2-1_089082_2022-06-07_final
2022-06-08 09:13:48	ga_ls8c_ard_3-2-1_089083_2022-06-07_final
2022-06-08 09:14:12	ga_ls8c_ard_3-2-1_089084_2022-06-07_final
2022-06-22 09:21:54	ga_ls8c_ard_3-2-1_091072_2022-06-21_final
2022-06-22 09:22:18	ga_ls8c_ard_3-2-1_091073_2022-06-21_final
2022-06-22 09:22:42	ga_ls8c_ard_3-2-1_091074_2022-06-21_final
2022-06-22 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-06-21_final
2022-07-26 09:12:05	ga_ls8c_ard_3-2-1_089078_2022-07-25_final
2022-07-26 09:12:28	ga_ls8c_ard_3-2-1_089079_2022-07-25_final
2022-07-26 09:12:52	ga_ls8c_ard_3-2-1_089080_2022-07-25_final
2022-07-26 09:13:16	ga_ls8c_ard_3-2-1_089081_2022-07-25_final
2022-07-26 09:13:40	ga_ls8c_ard_3-2-1_089082_2022-07-25_final
2022-07-26 09:14:04	ga_ls8c_ard_3-2-1_089083_2022-07-25_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