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
2013-11-06 09:13:28	ga_ls8c_ard_3-0-0_089078_2013-11-05_final
2013-11-06 09:13:52	ga_ls8c_ard_3-0-0_089079_2013-11-05_final
2013-11-06 09:14:16	ga_ls8c_ard_3-0-0_089080_2013-11-05_final
2013-11-06 09:14:40	ga_ls8c_ard_3-0-0_089081_2013-11-05_final
2013-11-06 09:15:03	ga_ls8c_ard_3-0-0_089082_2013-11-05_final
2013-11-11 09:27:36	ga_ls8c_ard_3-0-0_092067_2013-11-10_final
2014-01-23 09:21:13	ga_ls8c_ard_3-0-0_091068_2014-01-22_final
2014-07-13 09:06:36	ga_ls8c_ard_3-1-0_088081_2014-07-12_final
2014-07-13 09:07:00	ga_ls8c_ard_3-0-0_088082_2014-07-12_final
2014-07-25 09:25:45	ga_ls8c_ard_3-0-0_092067_2014-07-24_final
2014-07-25 09:26:09	ga_ls8c_ard_3-0-0_092068_2014-07-24_final
2014-08-03 09:20:05	ga_ls8c_ard_3-0-0_091068_2014-08-02_final
2014-08-14 09:06:48	ga_ls8c_ard_3-1-0_088081_2014-08-13_final
2014-08-14 09:07:11	ga_ls8c_ard_3-0-0_088082_2014-08-13_final
2014-08-26 09:25:57	ga_ls8c_ard_3-0-0_092067_2014-08-25_final
2014-08-26 09:26:21	ga_ls8c_ard_3-0-0_092068_2014-08-25_final
2014-09-11 09:26:01	ga_ls8c_ard_3-0-0_092067_2014-09-10_final
2014-09-11 09:26:25	ga_ls8c_ard_3-0-0_092068_2014-09-10_final
2014-10-01 09:06:53	ga_ls8c_ard_3-1-0_088081_2014-09-30_final
2014-10-01 09:07:17	ga_ls8c_ard_3-0-0_088082_2014-09-30_final
2014-10-06 09:20:17	ga_ls8c_ard_3-0-0_091068_2014-10-05_final
2014-10-29 09:26:02	ga_ls8c_ard_3-0-0_092067_2014-10-28_final
2014-10-29 09:26:26	ga_ls8c_ard_3-0-0_092068_2014-10-28_final
2014-11-02 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-11-01_final
2014-11-02 09:07:19	ga_ls8c_ard_3-0-0_088082_2014-11-01_final
2017-07-12 09:11:07	ga_ls8c_ard_3-0-0_089077_2017-07-11_final
2017-07-12 09:11:31	ga_ls8c_ard_3-0-0_089078_2017-07-11_final
2017-07-12 09:11:55	ga_ls8c_ard_3-0-0_089079_2017-07-11_final
2017-07-12 09:12:19	ga_ls8c_ard_3-0-0_089080_2017-07-11_final
2017-07-12 09:12:43	ga_ls8c_ard_3-0-0_089081_2017-07-11_final
2017-07-12 09:13:07	ga_ls8c_ard_3-0-0_089082_2017-07-11_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
2017-09-21 09:16:28	ga_ls8c_ard_3-0-0_090074_2017-09-20_final
2017-09-21 09:16:52	ga_ls8c_ard_3-0-0_090075_2017-09-20_final
2017-09-21 09:17:16	ga_ls8c_ard_3-0-0_090076_2017-09-20_final
2017-09-21 09:17:40	ga_ls8c_ard_3-0-0_090077_2017-09-20_final
2017-09-21 09:18:03	ga_ls8c_ard_3-0-0_090078_2017-09-20_final
2017-09-23 09:06:55	ga_ls8c_ard_3-1-0_088081_2017-09-22_final
2017-09-23 09:07:19	ga_ls8c_ard_3-0-0_088082_2017-09-22_final
2017-09-23 09:07:43	ga_ls8c_ard_3-0-0_088083_2017-09-22_final
2017-09-23 09:08:07	ga_ls8c_ard_3-0-0_088084_2017-09-22_final
2017-09-30 09:11:33	ga_ls8c_ard_3-0-0_089077_2017-09-29_final
2017-09-30 09:11:57	ga_ls8c_ard_3-0-0_089078_2017-09-29_final
2017-09-30 09:12:21	ga_ls8c_ard_3-0-0_089079_2017-09-29_final
2017-09-30 09:12:44	ga_ls8c_ard_3-0-0_089080_2017-09-29_final
2017-09-30 09:13:08	ga_ls8c_ard_3-0-0_089081_2017-09-29_final
2017-09-30 09:13:32	ga_ls8c_ard_3-0-0_089082_2017-09-29_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
2018-10-01 09:19:49	ga_ls8c_ard_3-0-0_091068_2018-09-30_final
2018-10-01 09:21:25	ga_ls8c_ard_3-0-0_091072_2018-09-30_final
2018-10-01 09:21:49	ga_ls8c_ard_3-0-0_091073_2018-09-30_final
2018-10-17 09:19:56	ga_ls8c_ard_3-0-0_091068_2018-10-16_final
2018-10-17 09:21:32	ga_ls8c_ard_3-0-0_091072_2018-10-16_final
2018-10-17 09:21:56	ga_ls8c_ard_3-0-0_091073_2018-10-16_final
2018-10-24 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-10-23_final
2018-10-24 09:26:09	ga_ls8c_ard_3-0-0_092068_2018-10-23_final
2018-11-02 09:20:00	ga_ls8c_ard_3-0-0_091068_2018-11-01_final
2018-11-02 09:21:36	ga_ls8c_ard_3-0-0_091072_2018-11-01_final
2018-11-02 09:22:00	ga_ls8c_ard_3-0-0_091073_2018-11-01_final
2018-11-09 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-08_final
2018-11-09 09:26:12	ga_ls8c_ard_3-0-0_092068_2018-11-08_final
2018-11-18 09:20:01	ga_ls8c_ard_3-0-0_091068_2018-11-17_final
2018-11-18 09:21:37	ga_ls8c_ard_3-0-0_091072_2018-11-17_final
2018-11-18 09:22:01	ga_ls8c_ard_3-0-0_091073_2018-11-17_final
2018-12-04 09:20:00	ga_ls8c_ard_3-0-0_091068_2018-12-03_final
2018-12-04 09:21:35	ga_ls8c_ard_3-0-0_091072_2018-12-03_final
2018-12-04 09:21:59	ga_ls8c_ard_3-0-0_091073_2018-12-03_final
2018-12-11 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-12-10_final
2018-12-11 09:26:09	ga_ls8c_ard_3-0-0_092068_2018-12-10_final
2018-12-20 09:19:58	ga_ls8c_ard_3-0-0_091068_2018-12-19_final
2018-12-20 09:21:33	ga_ls8c_ard_3-0-0_091072_2018-12-19_final
2018-12-20 09:21:57	ga_ls8c_ard_3-0-0_091073_2018-12-19_final
2019-01-05 09:19:57	ga_ls8c_ard_3-0-0_091068_2019-01-04_final
2019-01-05 09:21:33	ga_ls8c_ard_3-0-0_091072_2019-01-04_final
2019-01-05 09:21:57	ga_ls8c_ard_3-0-0_091073_2019-01-04_final
2019-01-12 09:25:43	ga_ls8c_ard_3-0-0_092067_2019-01-11_final
2019-01-12 09:26:07	ga_ls8c_ard_3-0-0_092068_2019-01-11_final
2020-02-16 09:25:54	ga_ls8c_ard_3-1-0_092067_2020-02-15_final
2020-02-16 09:26:18	ga_ls8c_ard_3-1-0_092068_2020-02-15_final
2020-02-25 09:20:05	ga_ls8c_ard_3-1-0_091068_2020-02-24_final
2020-02-25 09:21:40	ga_ls8c_ard_3-1-0_091072_2020-02-24_final
2020-02-25 09:22:04	ga_ls8c_ard_3-1-0_091073_2020-02-24_final
2020-12-25 09:20:24	ga_ls8c_ard_3-2-0_091068_2020-12-24_final
2020-12-25 09:22:00	ga_ls8c_ard_3-2-0_091072_2020-12-24_final
2020-12-25 09:22:24	ga_ls8c_ard_3-2-0_091073_2020-12-24_final
2020-12-27 09:12:49	ga_ls8c_ard_3-2-0_089080_2020-12-26_final
2020-12-27 09:13:13	ga_ls8c_ard_3-2-0_089081_2020-12-26_final
2020-12-27 09:13:37	ga_ls8c_ard_3-2-0_089082_2020-12-26_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
2021-01-03 09:16:34	ga_ls8c_ard_3-2-0_090074_2021-01-02_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-03 09:17:22	ga_ls8c_ard_3-2-0_090076_2021-01-02_final
2021-01-03 09:17:46	ga_ls8c_ard_3-2-0_090077_2021-01-02_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