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
2019-03-29 11:29:02	ga_ls8c_ard_3-1-0_112067_2019-03-29_final
2019-03-29 11:29:26	ga_ls8c_ard_3-1-0_112068_2019-03-29_final
2019-05-16 11:29:03	ga_ls8c_ard_3-0-0_112067_2019-05-16_final
2019-06-01 11:29:12	ga_ls8c_ard_3-0-0_112067_2019-06-01_final
2019-07-03 11:29:23	ga_ls8c_ard_3-1-0_112067_2019-07-03_final
2019-07-03 11:29:47	ga_ls8c_ard_3-1-0_112068_2019-07-03_final
2021-01-01 11:10:13	ga_ls8c_ard_3-2-0_108080_2021-01-01_final
2021-01-01 11:10:37	ga_ls8c_ard_3-2-0_108081_2021-01-01_final
2021-01-01 11:11:01	ga_ls8c_ard_3-2-0_108082_2021-01-01_final
2021-01-01 11:11:25	ga_ls8c_ard_3-2-0_108083_2021-01-01_final
2021-01-01 11:11:49	ga_ls8c_ard_3-2-0_108084_2021-01-01_final
2021-01-01 11:12:13	ga_ls8c_ard_3-2-0_108085_2021-01-01_final
2021-01-06 11:23:32	ga_ls8c_ard_3-2-0_111067_2021-01-06_final
2021-01-06 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-01-06_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-06 11:25:08	ga_ls8c_ard_3-2-0_111071_2021-01-06_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-29 11:29:37	ga_ls8c_ard_3-2-0_112067_2021-01-29_final
2021-01-29 11:30:00	ga_ls8c_ard_3-2-0_112068_2021-01-29_final
2021-01-31 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-01-31_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-01-31 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-01-31_final
2021-01-31 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-01-31_final
2021-01-31 11:20:50	ga_ls8c_ard_3-2-0_110076_2021-01-31_final
2021-01-31 11:21:14	ga_ls8c_ard_3-2-0_110077_2021-01-31_final
2021-02-02 11:10:04	ga_ls8c_ard_3-2-0_108080_2021-02-02_final
2021-02-02 11:10:28	ga_ls8c_ard_3-2-0_108081_2021-02-02_final
2021-02-02 11:10:52	ga_ls8c_ard_3-2-0_108082_2021-02-02_final
2021-02-02 11:11:16	ga_ls8c_ard_3-2-0_108083_2021-02-02_final
2021-02-02 11:11:40	ga_ls8c_ard_3-2-0_108084_2021-02-02_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-02-27 11:05:21	ga_ls8c_ard_3-2-0_107084_2021-02-27_final
2021-02-27 11:05:45	ga_ls8c_ard_3-2-0_107085_2021-02-27_final
2021-03-27 11:23:05	ga_ls8c_ard_3-2-0_111067_2021-03-27_final
2021-03-27 11:23:29	ga_ls8c_ard_3-2-0_111068_2021-03-27_final
2021-03-27 11:23:53	ga_ls8c_ard_3-2-0_111069_2021-03-27_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-03-27 11:24:41	ga_ls8c_ard_3-2-0_111071_2021-03-27_final
2021-03-27 11:25:05	ga_ls8c_ard_3-2-0_111072_2021-03-27_final
2021-03-29 11:14:19	ga_ls8c_ard_3-2-0_109076_2021-03-29_final
2021-03-29 11:14:43	ga_ls8c_ard_3-2-0_109077_2021-03-29_final
2021-03-29 11:15:07	ga_ls8c_ard_3-2-0_109078_2021-03-29_final
2021-03-29 11:15:30	ga_ls8c_ard_3-2-0_109079_2021-03-29_final
2021-03-29 11:15:54	ga_ls8c_ard_3-2-0_109080_2021-03-29_final
2021-03-29 11:16:18	ga_ls8c_ard_3-2-0_109081_2021-03-29_final
2021-03-29 11:16:42	ga_ls8c_ard_3-2-0_109082_2021-03-29_final
2021-04-03 11:29:38	ga_ls8c_ard_3-2-0_112068_2021-04-03_final
2021-04-05 11:18:52	ga_ls8c_ard_3-2-0_110072_2021-04-05_final
2021-04-05 11:19:16	ga_ls8c_ard_3-2-0_110073_2021-04-05_final
2021-04-05 11:19:40	ga_ls8c_ard_3-2-0_110074_2021-04-05_final
2021-04-05 11:20:03	ga_ls8c_ard_3-2-0_110075_2021-04-05_final
2021-04-05 11:20:27	ga_ls8c_ard_3-2-0_110076_2021-04-05_final
2021-04-05 11:20:51	ga_ls8c_ard_3-2-0_110077_2021-04-05_final
2021-08-02 11:23:21	ga_ls8c_ard_3-2-0_111067_2021-08-02_final
2021-08-02 11:23:45	ga_ls8c_ard_3-2-0_111068_2021-08-02_final
2021-08-02 11:24:09	ga_ls8c_ard_3-2-0_111069_2021-08-02_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-02 11:24:57	ga_ls8c_ard_3-2-0_111071_2021-08-02_final
2021-08-02 11:25:21	ga_ls8c_ard_3-2-0_111072_2021-08-02_final
2021-08-09 11:29:35	ga_ls8c_ard_3-2-0_112067_2021-08-09_final
2021-08-09 11:29:59	ga_ls8c_ard_3-2-0_112068_2021-08-09_final
2021-08-11 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-08-11_final
2021-08-11 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-08-11_final
2021-08-11 11:20:02	ga_ls8c_ard_3-2-0_110074_2021-08-11_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-08-11 11:20:50	ga_ls8c_ard_3-2-0_110076_2021-08-11_final
2021-08-11 11:21:14	ga_ls8c_ard_3-2-0_110077_2021-08-11_final
2021-08-20 11:15:29	ga_ls8c_ard_3-2-0_109078_2021-08-20_final
2021-08-20 11:15:53	ga_ls8c_ard_3-2-0_109079_2021-08-20_final
2021-08-20 11:16:17	ga_ls8c_ard_3-2-0_109080_2021-08-20_final
2021-08-20 11:16:41	ga_ls8c_ard_3-2-0_109081_2021-08-20_final
2021-08-20 11:17:05	ga_ls8c_ard_3-2-0_109082_2021-08-20_final
2021-08-22 11:05:32	ga_ls8c_ard_3-2-0_107084_2021-08-22_final
2021-08-22 11:05:56	ga_ls8c_ard_3-2-0_107085_2021-08-22_final
2021-08-25 11:29:40	ga_ls8c_ard_3-2-0_112067_2021-08-25_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-08-27 11:19:18	ga_ls8c_ard_3-2-0_110072_2021-08-27_final
2021-08-27 11:19:42	ga_ls8c_ard_3-2-0_110073_2021-08-27_final
2021-11-22 11:23:38	ga_ls8c_ard_3-2-0_111067_2021-11-22_final
2021-11-22 11:24:02	ga_ls8c_ard_3-2-0_111068_2021-11-22_final
2021-11-22 11:24:26	ga_ls8c_ard_3-2-0_111069_2021-11-22_final
2021-11-22 11:24:50	ga_ls8c_ard_3-2-0_111070_2021-11-22_final
2021-11-22 11:25:14	ga_ls8c_ard_3-2-0_111071_2021-11-22_final
2021-11-22 11:25:38	ga_ls8c_ard_3-2-0_111072_2021-11-22_final
2021-11-24 11:14:52	ga_ls8c_ard_3-2-0_109076_2021-11-24_final
2021-11-24 11:15:16	ga_ls8c_ard_3-2-0_109077_2021-11-24_final
2021-11-24 11:15:40	ga_ls8c_ard_3-2-0_109078_2021-11-24_final
2021-11-24 11:16:04	ga_ls8c_ard_3-2-0_109079_2021-11-24_final
2021-11-24 11:16:28	ga_ls8c_ard_3-2-0_109080_2021-11-24_final
2021-11-24 11:16:52	ga_ls8c_ard_3-2-0_109081_2021-11-24_final
2021-11-24 11:17:16	ga_ls8c_ard_3-2-0_109082_2021-11-24_final
2023-08-26 11:16:07	ga_ls8c_ard_3-2-1_109080_2023-08-26_final
2023-08-26 11:16:31	ga_ls8c_ard_3-2-1_109081_2023-08-26_final
2023-08-28 11:05:21	ga_ls8c_ard_3-2-1_107084_2023-08-28_final
2023-09-27 11:14:38	ga_ls8c_ard_3-2-1_109076_2023-09-27_final
2023-09-27 11:15:02	ga_ls8c_ard_3-2-1_109077_2023-09-27_final
2023-09-27 11:15:26	ga_ls8c_ard_3-2-1_109078_2023-09-27_final
2023-09-27 11:15:50	ga_ls8c_ard_3-2-1_109079_2023-09-27_final
2023-09-27 11:16:14	ga_ls8c_ard_3-2-1_109080_2023-09-27_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