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
2016-10-18 09:27:48	ga_ls8c_ard_3-0-0_092071_2016-10-17_final
2016-10-18 09:28:12	ga_ls8c_ard_3-0-0_092072_2016-10-17_final
2016-10-18 09:28:36	ga_ls8c_ard_3-0-0_092073_2016-10-17_final
2016-10-18 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-10-17_final
2016-10-18 09:29:24	ga_ls8c_ard_3-0-0_092075_2016-10-17_final
2016-10-29 09:14:04	ga_ls8c_ard_3-0-0_089083_2016-10-28_final
2016-10-29 09:14:28	ga_ls8c_ard_3-0-0_089084_2016-10-28_final
2016-10-29 09:14:52	ga_ls8c_ard_3-0-0_089085_2016-10-28_final
2016-10-29 09:15:16	ga_ls8c_ard_3-0-0_089086_2016-10-28_final
2016-10-29 09:15:40	ga_ls8c_ard_3-0-0_089087_2016-10-28_final
2016-10-29 09:16:04	ga_ls8c_ard_3-0-0_089088_2016-10-28_final
2016-11-30 09:14:03	ga_ls8c_ard_3-0-0_089083_2016-11-29_final
2016-11-30 09:14:27	ga_ls8c_ard_3-0-0_089084_2016-11-29_final
2016-11-30 09:14:51	ga_ls8c_ard_3-0-0_089085_2016-11-29_final
2016-11-30 09:15:15	ga_ls8c_ard_3-0-0_089086_2016-11-29_final
2016-11-30 09:15:39	ga_ls8c_ard_3-0-0_089087_2016-11-29_final
2016-11-30 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-11-29_final
2016-12-12 09:32:20	ga_ls8c_ard_3-0-0_093067_2016-12-12_final
2016-12-12 09:32:44	ga_ls8c_ard_3-0-0_093068_2016-12-12_final
2016-12-12 09:33:56	ga_ls8c_ard_3-0-0_093071_2016-12-12_final
2016-12-28 09:32:17	ga_ls8c_ard_3-0-0_093067_2016-12-28_final
2016-12-28 09:32:41	ga_ls8c_ard_3-0-0_093068_2016-12-28_final
2017-02-02 09:13:45	ga_ls8c_ard_3-0-0_089083_2017-02-01_final
2017-02-02 09:14:09	ga_ls8c_ard_3-0-0_089084_2017-02-01_final
2017-02-02 09:14:33	ga_ls8c_ard_3-0-0_089085_2017-02-01_final
2017-02-02 09:14:57	ga_ls8c_ard_3-0-0_089086_2017-02-01_final
2017-02-02 09:15:21	ga_ls8c_ard_3-0-0_089087_2017-02-01_final
2017-02-02 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-02-01_final
2017-02-14 09:31:59	ga_ls8c_ard_3-0-0_093067_2017-02-14_final
2017-02-14 09:32:23	ga_ls8c_ard_3-0-0_093068_2017-02-14_final
2017-02-14 09:33:35	ga_ls8c_ard_3-0-0_093071_2017-02-14_final
2017-03-06 09:13:32	ga_ls8c_ard_3-0-0_089083_2017-03-05_final
2017-03-06 09:13:55	ga_ls8c_ard_3-0-0_089084_2017-03-05_final
2017-03-06 09:14:19	ga_ls8c_ard_3-0-0_089085_2017-03-05_final
2017-03-06 09:14:43	ga_ls8c_ard_3-0-0_089086_2017-03-05_final
2017-03-06 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-03-05_final
2017-03-06 09:15:31	ga_ls8c_ard_3-0-0_089088_2017-03-05_final
2017-04-05 09:22:26	ga_ls8c_ard_3-0-0_091075_2017-04-04_final
2017-04-05 09:22:49	ga_ls8c_ard_3-0-0_091076_2017-04-04_final
2017-04-05 09:23:13	ga_ls8c_ard_3-0-0_091077_2017-04-04_final
2017-04-07 09:13:15	ga_ls8c_ard_3-0-0_089083_2017-04-06_final
2017-04-07 09:13:38	ga_ls8c_ard_3-0-0_089084_2017-04-06_final
2017-04-07 09:14:02	ga_ls8c_ard_3-0-0_089085_2017-04-06_final
2017-04-07 09:14:26	ga_ls8c_ard_3-0-0_089086_2017-04-06_final
2017-04-07 09:14:50	ga_ls8c_ard_3-0-0_089087_2017-04-06_final
2017-04-07 09:15:14	ga_ls8c_ard_3-0-0_089088_2017-04-06_final
2017-07-12 09:13:31	ga_ls8c_ard_3-0-0_089083_2017-07-11_final
2017-07-12 09:13:55	ga_ls8c_ard_3-0-0_089084_2017-07-11_final
2017-07-12 09:14:19	ga_ls8c_ard_3-0-0_089085_2017-07-11_final
2017-07-12 09:14:43	ga_ls8c_ard_3-0-0_089086_2017-07-11_final
2017-07-12 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-07-11_final
2017-07-12 09:15:31	ga_ls8c_ard_3-0-0_089088_2017-07-11_final
2019-07-25 09:18:18	ga_ls8c_ard_3-1-0_090079_2019-07-24_final
2019-07-25 09:18:42	ga_ls8c_ard_3-1-0_090080_2019-07-24_final
2019-07-25 09:19:06	ga_ls8c_ard_3-1-0_090081_2019-07-24_final
2019-07-25 09:19:30	ga_ls8c_ard_3-1-0_090082_2019-07-24_final
2019-07-25 09:19:54	ga_ls8c_ard_3-1-0_090083_2019-07-24_final
2019-07-25 09:20:18	ga_ls8c_ard_3-1-0_090084_2019-07-24_final
2019-08-08 09:27:34	ga_ls8c_ard_3-1-0_092071_2019-08-07_final
2019-08-08 09:27:57	ga_ls8c_ard_3-1-0_092072_2019-08-07_final
2019-08-08 09:28:21	ga_ls8c_ard_3-1-0_092073_2019-08-07_final
2019-08-08 09:28:45	ga_ls8c_ard_3-1-0_092074_2019-08-07_final
2019-08-08 09:29:09	ga_ls8c_ard_3-1-0_092075_2019-08-07_final
2019-08-08 09:29:33	ga_ls8c_ard_3-1-0_092076_2019-08-07_final
2019-08-10 09:18:24	ga_ls8c_ard_3-1-0_090079_2019-08-09_final
2019-08-10 09:18:48	ga_ls8c_ard_3-1-0_090080_2019-08-09_final
2019-08-10 09:19:12	ga_ls8c_ard_3-1-0_090081_2019-08-09_final
2019-08-10 09:19:36	ga_ls8c_ard_3-1-0_090082_2019-08-09_final
2019-08-10 09:20:00	ga_ls8c_ard_3-1-0_090083_2019-08-09_final
2019-08-10 09:20:24	ga_ls8c_ard_3-1-0_090084_2019-08-09_final
2019-08-17 09:23:01	ga_ls8c_ard_3-1-0_091075_2019-08-16_final
2019-08-17 09:23:25	ga_ls8c_ard_3-1-0_091076_2019-08-16_final
2019-08-17 09:23:49	ga_ls8c_ard_3-1-0_091077_2019-08-16_final
2019-08-17 09:24:13	ga_ls8c_ard_3-1-0_091078_2019-08-16_final
2019-08-17 09:24:37	ga_ls8c_ard_3-1-0_091079_2019-08-16_final
2019-08-17 09:25:01	ga_ls8c_ard_3-1-0_091080_2019-08-16_final
2019-08-19 09:13:52	ga_ls8c_ard_3-1-0_089083_2019-08-18_final
2019-08-19 09:14:16	ga_ls8c_ard_3-1-0_089084_2019-08-18_final
2019-08-19 09:14:40	ga_ls8c_ard_3-1-0_089085_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-08-19 09:15:52	ga_ls8c_ard_3-1-0_089088_2019-08-18_final
2019-10-13 09:18:41	ga_ls8c_ard_3-1-0_090079_2019-10-12_final
2019-10-13 09:19:05	ga_ls8c_ard_3-1-0_090080_2019-10-12_final
2019-10-13 09:19:29	ga_ls8c_ard_3-1-0_090081_2019-10-12_final
2019-10-13 09:19:53	ga_ls8c_ard_3-1-0_090082_2019-10-12_final
2019-10-13 09:20:17	ga_ls8c_ard_3-1-0_090083_2019-10-12_final
2019-10-13 09:20:41	ga_ls8c_ard_3-1-0_090084_2019-10-12_final
2020-07-25 09:27:23	ga_ls8c_ard_3-1-0_092071_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-07-25 09:28:59	ga_ls8c_ard_3-1-0_092075_2020-07-24_final
2021-09-21 09:32:21	ga_ls8c_ard_3-2-0_093067_2021-09-21_final
2021-09-21 09:32:45	ga_ls8c_ard_3-2-0_093068_2021-09-21_final
2021-09-21 09:33:56	ga_ls8c_ard_3-2-0_093071_2021-09-21_final
2021-09-30 09:27:49	ga_ls8c_ard_3-2-0_092071_2021-09-29_final
2021-09-30 09:28:13	ga_ls8c_ard_3-2-0_092072_2021-09-29_final
2021-09-30 09:28:37	ga_ls8c_ard_3-2-0_092073_2021-09-29_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_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