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
2017-10-03 09:41:40	ga_ls8c_ard_3-0-0_094075_2017-10-03_final
2017-10-03 09:42:04	ga_ls8c_ard_3-0-0_094076_2017-10-03_final
2017-10-03 09:42:28	ga_ls8c_ard_3-0-0_094077_2017-10-03_final
2017-10-03 09:42:52	ga_ls8c_ard_3-0-0_094078_2017-10-03_final
2017-10-03 09:43:16	ga_ls8c_ard_3-0-0_094079_2017-10-03_final
2017-10-03 09:43:40	ga_ls8c_ard_3-0-0_094080_2017-10-03_final
2017-10-05 09:32:30	ga_ls8c_ard_3-0-0_092083_2017-10-05_final
2017-10-05 09:32:54	ga_ls8c_ard_3-0-0_092084_2017-10-05_final
2017-10-05 09:33:18	ga_ls8c_ard_3-0-0_092085_2017-10-05_final
2017-10-05 09:33:42	ga_ls8c_ard_3-0-0_092086_2017-10-05_final
2017-10-05 09:34:06	ga_ls8c_ard_3-0-0_092087_2017-10-05_final
2017-10-05 09:34:30	ga_ls8c_ard_3-0-0_092088_2017-10-05_final
2017-11-18 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-11-18_final
2017-11-18 09:51:13	ga_ls8c_ard_3-0-0_096068_2017-11-18_final
2017-11-18 09:51:37	ga_ls8c_ard_3-0-0_096069_2017-11-18_final
2017-11-18 09:52:01	ga_ls8c_ard_3-0-0_096070_2017-11-18_final
2017-11-18 09:52:25	ga_ls8c_ard_3-0-0_096071_2017-11-18_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2018-01-05 09:50:43	ga_ls8c_ard_3-0-0_096067_2018-01-05_final
2018-01-05 09:51:07	ga_ls8c_ard_3-0-0_096068_2018-01-05_final
2018-01-05 09:51:31	ga_ls8c_ard_3-0-0_096069_2018-01-05_final
2018-01-05 09:51:55	ga_ls8c_ard_3-0-0_096070_2018-01-05_final
2018-01-05 09:52:19	ga_ls8c_ard_3-0-0_096071_2018-01-05_final
2020-05-13 09:36:15	ga_ls8c_ard_3-1-0_093079_2020-05-13_final
2020-05-13 09:36:39	ga_ls8c_ard_3-1-0_093080_2020-05-13_final
2020-05-13 09:37:03	ga_ls8c_ard_3-1-0_093081_2020-05-13_final
2020-05-13 09:37:27	ga_ls8c_ard_3-1-0_093082_2020-05-13_final
2020-05-13 09:37:50	ga_ls8c_ard_3-1-0_093083_2020-05-13_final
2020-05-13 09:38:14	ga_ls8c_ard_3-1-0_093084_2020-05-13_final
2021-01-01 09:32:32	ga_ls8c_ard_3-2-0_092083_2021-01-01_final
2021-01-01 09:32:56	ga_ls8c_ard_3-2-0_092084_2021-01-01_final
2021-01-01 09:33:20	ga_ls8c_ard_3-2-0_092085_2021-01-01_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-01 09:34:08	ga_ls8c_ard_3-2-0_092087_2021-01-01_final
2021-01-01 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-01-01_final
2021-01-03 09:22:57	ga_ls8c_ard_3-2-0_090090_2021-01-02_final
2021-01-03 09:23:21	ga_ls8c_ard_3-2-0_090091_2021-01-02_final
2021-01-06 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-01-06_final
2021-01-06 09:46:15	ga_ls8c_ard_3-2-0_095071_2021-01-06_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-06 09:47:51	ga_ls8c_ard_3-2-0_095075_2021-01-06_final
2021-01-06 09:48:15	ga_ls8c_ard_3-2-0_095076_2021-01-06_final
2021-01-15 09:41:36	ga_ls8c_ard_3-2-0_094075_2021-01-15_final
2021-01-15 09:42:00	ga_ls8c_ard_3-2-0_094076_2021-01-15_final
2021-01-15 09:42:24	ga_ls8c_ard_3-2-0_094077_2021-01-15_final
2021-01-15 09:42:48	ga_ls8c_ard_3-2-0_094078_2021-01-15_final
2021-01-15 09:43:11	ga_ls8c_ard_3-2-0_094079_2021-01-15_final
2021-01-15 09:43:35	ga_ls8c_ard_3-2-0_094080_2021-01-15_final
2021-01-31 09:41:33	ga_ls8c_ard_3-2-0_094075_2021-01-31_final
2021-01-31 09:41:57	ga_ls8c_ard_3-2-0_094076_2021-01-31_final
2021-01-31 09:42:21	ga_ls8c_ard_3-2-0_094077_2021-01-31_final
2021-01-31 09:42:45	ga_ls8c_ard_3-2-0_094078_2021-01-31_final
2021-01-31 09:43:09	ga_ls8c_ard_3-2-0_094079_2021-01-31_final
2021-01-31 09:43:33	ga_ls8c_ard_3-2-0_094080_2021-01-31_final
2021-03-20 09:41:38	ga_ls8c_ard_3-2-0_094076_2021-03-20_final
2021-03-20 09:42:02	ga_ls8c_ard_3-2-0_094077_2021-03-20_final
2021-03-20 09:42:26	ga_ls8c_ard_3-2-0_094078_2021-03-20_final
2021-03-20 09:42:50	ga_ls8c_ard_3-2-0_094079_2021-03-20_final
2021-03-20 09:43:14	ga_ls8c_ard_3-2-0_094080_2021-03-20_final
2021-03-22 09:32:04	ga_ls8c_ard_3-2-0_092083_2021-03-22_final
2021-03-22 09:32:28	ga_ls8c_ard_3-2-0_092084_2021-03-22_final
2021-03-22 09:32:52	ga_ls8c_ard_3-2-0_092085_2021-03-22_final
2021-03-22 09:33:16	ga_ls8c_ard_3-2-0_092086_2021-03-22_final
2021-03-22 09:33:40	ga_ls8c_ard_3-2-0_092087_2021-03-22_final
2021-03-22 09:34:04	ga_ls8c_ard_3-2-0_092088_2021-03-22_final
2021-05-21 09:50:14	ga_ls8c_ard_3-2-0_096067_2021-05-21_final
2021-05-21 09:50:38	ga_ls8c_ard_3-2-0_096068_2021-05-21_final
2021-05-21 09:51:02	ga_ls8c_ard_3-2-0_096069_2021-05-21_final
2021-05-21 09:51:26	ga_ls8c_ard_3-2-0_096070_2021-05-21_final
2021-05-21 09:51:50	ga_ls8c_ard_3-2-0_096071_2021-05-21_final
2021-06-03 09:27:02	ga_ls8c_ard_3-2-0_091086_2021-06-02_final
2021-06-03 09:27:26	ga_ls8c_ard_3-2-0_091087_2021-06-02_final
2021-06-03 09:27:50	ga_ls8c_ard_3-2-0_091088_2021-06-02_final
2021-06-03 09:28:14	ga_ls8c_ard_3-2-0_091089_2021-06-02_final
2021-06-03 09:28:38	ga_ls8c_ard_3-2-0_091090_2021-06-02_final
2021-06-03 09:29:01	ga_ls8c_ard_3-2-0_091091_2021-06-02_final
2021-06-08 09:41:13	ga_ls8c_ard_3-2-0_094075_2021-06-08_final
2021-06-08 09:41:37	ga_ls8c_ard_3-2-0_094076_2021-06-08_final
2021-06-08 09:42:01	ga_ls8c_ard_3-2-0_094077_2021-06-08_final
2021-06-08 09:42:25	ga_ls8c_ard_3-2-0_094078_2021-06-08_final
2021-06-08 09:42:49	ga_ls8c_ard_3-2-0_094079_2021-06-08_final
2021-06-08 09:43:13	ga_ls8c_ard_3-2-0_094080_2021-06-08_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-01-28 09:23:06	ga_ls8c_ard_3-2-1_090091_2024-01-27_final
2024-01-31 09:46:03	ga_ls8c_ard_3-2-1_095071_2024-01-31_final
2024-01-31 09:46:27	ga_ls8c_ard_3-2-1_095072_2024-01-31_final
2024-01-31 09:46:51	ga_ls8c_ard_3-2-1_095073_2024-01-31_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-01-31 09:47:39	ga_ls8c_ard_3-2-1_095075_2024-01-31_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-02 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-02_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years