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
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
2021-08-20 11:17:29	ga_ls8c_ard_3-2-0_109083_2021-08-20_final
2021-08-20 11:17:53	ga_ls8c_ard_3-2-0_109084_2021-08-20_final
2021-08-20 11:18:17	ga_ls8c_ard_3-2-0_109085_2021-08-20_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-08-25 11:30:28	ga_ls8c_ard_3-2-0_112069_2021-08-25_final
2021-08-25 11:30:52	ga_ls8c_ard_3-2-0_112070_2021-08-25_final
2021-08-25 11:31:15	ga_ls8c_ard_3-2-0_112071_2021-08-25_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-08-25 11:32:27	ga_ls8c_ard_3-2-0_112074_2021-08-25_final
2021-10-03 11:36:01	ga_ls8c_ard_3-2-0_113067_2021-10-03_final
2021-10-05 11:26:04	ga_ls8c_ard_3-2-0_111073_2021-10-05_final
2021-10-05 11:26:28	ga_ls8c_ard_3-2-0_111074_2021-10-05_final
2021-10-05 11:26:52	ga_ls8c_ard_3-2-0_111075_2021-10-05_final
2021-10-05 11:27:16	ga_ls8c_ard_3-2-0_111076_2021-10-05_final
2021-10-05 11:27:40	ga_ls8c_ard_3-2-0_111077_2021-10-05_final
2021-10-05 11:28:04	ga_ls8c_ard_3-2-0_111078_2021-10-05_final
2021-10-07 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-10-07_final
2021-10-07 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-10-07_final
2021-10-07 11:17:42	ga_ls8c_ard_3-2-0_109083_2021-10-07_final
2021-10-07 11:18:06	ga_ls8c_ard_3-2-0_109084_2021-10-07_final
2021-10-07 11:18:30	ga_ls8c_ard_3-2-0_109085_2021-10-07_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-12 11:30:41	ga_ls8c_ard_3-2-0_112069_2021-10-12_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-12 11:31:29	ga_ls8c_ard_3-2-0_112071_2021-10-12_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-10-12 11:32:41	ga_ls8c_ard_3-2-0_112074_2021-10-12_final
2021-10-14 11:21:31	ga_ls8c_ard_3-2-0_110077_2021-10-14_final
2021-10-14 11:21:55	ga_ls8c_ard_3-2-0_110078_2021-10-14_final
2021-10-14 11:22:19	ga_ls8c_ard_3-2-0_110079_2021-10-14_final
2021-10-14 11:22:43	ga_ls8c_ard_3-2-0_110080_2021-10-14_final
2021-10-14 11:23:07	ga_ls8c_ard_3-2-0_110081_2021-10-14_final
2021-10-14 11:23:31	ga_ls8c_ard_3-2-0_110082_2021-10-14_final
2021-10-14 11:23:55	ga_ls8c_ard_3-2-0_110083_2021-10-14_final
2021-10-16 11:12:21	ga_ls8c_ard_3-2-0_108085_2021-10-16_final
2021-10-19 11:36:05	ga_ls8c_ard_3-2-0_113067_2021-10-19_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-10-21 11:26:31	ga_ls8c_ard_3-2-0_111074_2021-10-21_final
2021-10-21 11:26:55	ga_ls8c_ard_3-2-0_111075_2021-10-21_final
2021-10-21 11:27:19	ga_ls8c_ard_3-2-0_111076_2021-10-21_final
2021-10-21 11:27:43	ga_ls8c_ard_3-2-0_111077_2021-10-21_final
2021-10-21 11:28:07	ga_ls8c_ard_3-2-0_111078_2021-10-21_final
2022-06-20 11:16:44	ga_ls8c_ard_3-2-1_109081_2022-06-20_final
2022-06-20 11:17:08	ga_ls8c_ard_3-2-1_109082_2022-06-20_final
2022-06-20 11:17:32	ga_ls8c_ard_3-2-1_109083_2022-06-20_final
2022-06-20 11:17:55	ga_ls8c_ard_3-2-1_109084_2022-06-20_final
2022-06-27 11:21:20	ga_ls8c_ard_3-2-1_110077_2022-06-27_final
2022-06-27 11:21:44	ga_ls8c_ard_3-2-1_110078_2022-06-27_final
2022-06-27 11:22:08	ga_ls8c_ard_3-2-1_110079_2022-06-27_final
2022-06-27 11:22:32	ga_ls8c_ard_3-2-1_110080_2022-06-27_final
2022-06-27 11:22:56	ga_ls8c_ard_3-2-1_110081_2022-06-27_final
2022-06-27 11:23:20	ga_ls8c_ard_3-2-1_110082_2022-06-27_final
2022-06-27 11:23:44	ga_ls8c_ard_3-2-1_110083_2022-06-27_final
2022-07-04 11:27:32	ga_ls8c_ard_3-2-1_111077_2022-07-04_final
2022-07-04 11:27:56	ga_ls8c_ard_3-2-1_111078_2022-07-04_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-11 11:32:06	ga_ls8c_ard_3-2-1_112073_2022-07-11_final
2022-07-11 11:32:30	ga_ls8c_ard_3-2-1_112074_2022-07-11_final
2022-08-05 11:26:09	ga_ls8c_ard_3-2-1_111073_2022-08-05_final
2022-08-05 11:26:33	ga_ls8c_ard_3-2-1_111074_2022-08-05_final
2022-08-05 11:26:57	ga_ls8c_ard_3-2-1_111075_2022-08-05_final
2022-08-05 11:27:21	ga_ls8c_ard_3-2-1_111076_2022-08-05_final
2022-08-05 11:27:45	ga_ls8c_ard_3-2-1_111077_2022-08-05_final
2022-08-05 11:28:08	ga_ls8c_ard_3-2-1_111078_2022-08-05_final
2022-08-12 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-08-12_final
2022-08-12 11:32:23	ga_ls8c_ard_3-2-1_112073_2022-08-12_final
2022-08-12 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-08-12_final
2022-08-14 11:21:37	ga_ls8c_ard_3-2-1_110077_2022-08-14_final
2022-08-14 11:22:01	ga_ls8c_ard_3-2-1_110078_2022-08-14_final
2022-08-14 11:22:25	ga_ls8c_ard_3-2-1_110079_2022-08-14_final
2022-08-14 11:22:49	ga_ls8c_ard_3-2-1_110080_2022-08-14_final
2022-08-14 11:23:13	ga_ls8c_ard_3-2-1_110081_2022-08-14_final
2022-08-14 11:23:37	ga_ls8c_ard_3-2-1_110082_2022-08-14_final
2022-08-14 11:24:01	ga_ls8c_ard_3-2-1_110083_2022-08-14_final
2023-03-10 11:21:05	ga_ls8c_ard_3-2-1_110077_2023-03-10_final
2023-03-10 11:21:29	ga_ls8c_ard_3-2-1_110078_2023-03-10_final
2023-03-10 11:21:53	ga_ls8c_ard_3-2-1_110079_2023-03-10_final
2023-03-10 11:22:17	ga_ls8c_ard_3-2-1_110080_2023-03-10_final
2023-03-10 11:22:41	ga_ls8c_ard_3-2-1_110081_2023-03-10_final
2023-03-10 11:23:04	ga_ls8c_ard_3-2-1_110082_2023-03-10_final
2023-03-10 11:23:28	ga_ls8c_ard_3-2-1_110083_2023-03-10_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_final
2024-02-16 11:26:09	ga_ls8c_ard_3-2-1_111074_2024-02-16_final
2024-02-16 11:26:33	ga_ls8c_ard_3-2-1_111075_2024-02-16_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-23 11:31:31	ga_ls8c_ard_3-2-1_112072_2024-02-23_final
2024-02-23 11:31:55	ga_ls8c_ard_3-2-1_112073_2024-02-23_final
2024-02-23 11:32:19	ga_ls8c_ard_3-2-1_112074_2024-02-23_final
2024-02-25 11:21:08	ga_ls8c_ard_3-2-1_110077_2024-02-25_final
2024-02-25 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-02-25_final
2024-02-25 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-02-25_final
2024-02-25 11:22:20	ga_ls8c_ard_3-2-1_110080_2024-02-25_final
2024-02-25 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-02-25_final
2024-02-25 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-02-25_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years