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
2016-02-10 09:45:36	ga_ls8c_ard_3-0-0_095070_2016-02-10_final
2016-02-10 09:46:00	ga_ls8c_ard_3-0-0_095071_2016-02-10_final
2016-02-10 09:46:24	ga_ls8c_ard_3-0-0_095072_2016-02-10_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-02-10 09:47:11	ga_ls8c_ard_3-0-0_095074_2016-02-10_final
2016-02-12 09:36:24	ga_ls8c_ard_3-0-0_093078_2016-02-12_final
2016-02-12 09:36:48	ga_ls8c_ard_3-0-0_093079_2016-02-12_final
2016-02-12 09:37:12	ga_ls8c_ard_3-0-0_093080_2016-02-12_final
2016-02-12 09:37:36	ga_ls8c_ard_3-0-0_093081_2016-02-12_final
2016-02-12 09:38:00	ga_ls8c_ard_3-0-0_093082_2016-02-12_final
2016-02-12 09:38:24	ga_ls8c_ard_3-0-0_093083_2016-02-12_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2016-04-27 09:22:14	ga_ls8c_ard_3-0-0_090090_2016-04-26_final
2021-11-08 09:36:26	ga_ls8c_ard_3-2-0_093077_2021-11-08_final
2021-11-08 09:36:50	ga_ls8c_ard_3-2-0_093078_2021-11-08_final
2021-11-08 09:37:14	ga_ls8c_ard_3-2-0_093079_2021-11-08_final
2021-11-08 09:37:38	ga_ls8c_ard_3-2-0_093080_2021-11-08_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-11-08 09:38:26	ga_ls8c_ard_3-2-0_093082_2021-11-08_final
2021-11-08 09:38:50	ga_ls8c_ard_3-2-0_093083_2021-11-08_final
2021-11-10 09:27:15	ga_ls8c_ard_3-2-0_091085_2021-11-09_final
2021-11-10 09:27:39	ga_ls8c_ard_3-2-0_091086_2021-11-09_final
2021-11-10 09:28:03	ga_ls8c_ard_3-2-0_091087_2021-11-09_final
2021-11-10 09:28:27	ga_ls8c_ard_3-2-0_091088_2021-11-09_final
2021-11-10 09:28:51	ga_ls8c_ard_3-2-0_091089_2021-11-09_final
2021-11-10 09:29:15	ga_ls8c_ard_3-2-0_091090_2021-11-09_final
2021-11-22 09:45:57	ga_ls8c_ard_3-2-0_095070_2021-11-22_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2021-11-22 09:46:45	ga_ls8c_ard_3-2-0_095072_2021-11-22_final
2021-11-22 09:47:09	ga_ls8c_ard_3-2-0_095073_2021-11-22_final
2021-11-22 09:47:33	ga_ls8c_ard_3-2-0_095074_2021-11-22_final
2021-11-24 09:37:35	ga_ls8c_ard_3-2-0_093080_2021-11-24_final
2021-11-26 09:27:13	ga_ls8c_ard_3-2-0_091085_2021-11-25_final
2021-11-26 09:27:37	ga_ls8c_ard_3-2-0_091086_2021-11-25_final
2021-11-26 09:28:01	ga_ls8c_ard_3-2-0_091087_2021-11-25_final
2021-11-26 09:28:25	ga_ls8c_ard_3-2-0_091088_2021-11-25_final
2021-11-26 09:28:49	ga_ls8c_ard_3-2-0_091089_2021-11-25_final
2021-11-26 09:29:13	ga_ls8c_ard_3-2-0_091090_2021-11-25_final
2021-12-05 09:22:39	ga_ls8c_ard_3-2-0_090089_2021-12-04_final
2021-12-05 09:23:03	ga_ls8c_ard_3-2-0_090090_2021-12-04_final
2021-12-08 09:46:22	ga_ls8c_ard_3-2-1_095071_2021-12-08_final
2021-12-08 09:46:46	ga_ls8c_ard_3-2-1_095072_2021-12-08_final
2021-12-08 09:47:10	ga_ls8c_ard_3-2-1_095073_2021-12-08_final
2021-12-08 09:47:34	ga_ls8c_ard_3-2-1_095074_2021-12-08_final
2021-12-12 09:27:13	ga_ls8c_ard_3-2-1_091085_2021-12-11_final
2021-12-12 09:27:37	ga_ls8c_ard_3-2-1_091086_2021-12-11_final
2021-12-12 09:28:01	ga_ls8c_ard_3-2-1_091087_2021-12-11_final
2021-12-12 09:28:25	ga_ls8c_ard_3-2-1_091088_2021-12-11_final
2021-12-12 09:28:49	ga_ls8c_ard_3-2-1_091089_2021-12-11_final
2021-12-12 09:29:13	ga_ls8c_ard_3-2-1_091090_2021-12-11_final
2022-01-09 09:46:15	ga_ls8c_ard_3-2-1_095071_2022-01-09_final
2022-01-09 09:46:39	ga_ls8c_ard_3-2-1_095072_2022-01-09_final
2022-01-09 09:47:02	ga_ls8c_ard_3-2-1_095073_2022-01-09_final
2022-01-09 09:47:26	ga_ls8c_ard_3-2-1_095074_2022-01-09_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-01-18 09:41:14	ga_ls8c_ard_3-2-1_094074_2022-01-18_final
2022-01-18 09:41:38	ga_ls8c_ard_3-2-1_094075_2022-01-18_final
2022-01-18 09:42:02	ga_ls8c_ard_3-2-1_094076_2022-01-18_final
2022-01-18 09:42:26	ga_ls8c_ard_3-2-1_094077_2022-01-18_final
2022-01-18 09:42:49	ga_ls8c_ard_3-2-1_094078_2022-01-18_final
2022-01-18 09:43:13	ga_ls8c_ard_3-2-1_094079_2022-01-18_final
2022-01-20 09:32:03	ga_ls8c_ard_3-2-1_092082_2022-01-20_final
2022-01-20 09:32:27	ga_ls8c_ard_3-2-1_092083_2022-01-20_final
2022-01-20 09:32:51	ga_ls8c_ard_3-2-1_092084_2022-01-20_final
2022-01-20 09:33:15	ga_ls8c_ard_3-2-1_092085_2022-01-20_final
2022-01-20 09:33:39	ga_ls8c_ard_3-2-1_092086_2022-01-20_final
2022-01-20 09:34:03	ga_ls8c_ard_3-2-1_092087_2022-01-20_final
2022-01-22 09:22:28	ga_ls8c_ard_3-2-1_090089_2022-01-21_final
2022-01-22 09:22:52	ga_ls8c_ard_3-2-1_090090_2022-01-21_final
2022-01-22 09:23:16	ga_ls8c_ard_3-2-1_090091_2022-01-21_final
2022-09-17 09:32:06	ga_ls8c_ard_3-2-1_092081_2022-09-17_final
2022-09-17 09:32:29	ga_ls8c_ard_3-2-1_092082_2022-09-17_final
2022-09-17 09:32:53	ga_ls8c_ard_3-2-1_092083_2022-09-17_final
2022-09-17 09:33:17	ga_ls8c_ard_3-2-1_092084_2022-09-17_final
2022-09-17 09:33:41	ga_ls8c_ard_3-2-1_092085_2022-09-17_final
2022-09-17 09:34:05	ga_ls8c_ard_3-2-1_092086_2022-09-17_final
2022-09-17 09:34:29	ga_ls8c_ard_3-2-1_092087_2022-09-17_final
2022-09-19 09:22:56	ga_ls8c_ard_3-2-1_090089_2022-09-18_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-09-19 09:23:44	ga_ls8c_ard_3-2-1_090091_2022-09-18_final
2022-09-24 09:36:41	ga_ls8c_ard_3-2-1_093077_2022-09-24_final
2022-09-24 09:37:05	ga_ls8c_ard_3-2-1_093078_2022-09-24_final
2022-09-24 09:37:29	ga_ls8c_ard_3-2-1_093079_2022-09-24_final
2022-09-24 09:37:53	ga_ls8c_ard_3-2-1_093080_2022-09-24_final
2022-09-24 09:38:17	ga_ls8c_ard_3-2-1_093081_2022-09-24_final
2022-09-24 09:38:41	ga_ls8c_ard_3-2-1_093082_2022-09-24_final
2022-09-24 09:39:05	ga_ls8c_ard_3-2-1_093083_2022-09-24_final
2022-10-01 09:41:15	ga_ls8c_ard_3-2-1_094073_2022-10-01_final
2022-10-01 09:41:39	ga_ls8c_ard_3-2-1_094074_2022-10-01_final
2022-10-01 09:42:03	ga_ls8c_ard_3-2-1_094075_2022-10-01_final
2022-10-01 09:42:27	ga_ls8c_ard_3-2-1_094076_2022-10-01_final
2022-10-01 09:42:51	ga_ls8c_ard_3-2-1_094077_2022-10-01_final
2022-10-01 09:43:15	ga_ls8c_ard_3-2-1_094078_2022-10-01_final
2022-10-01 09:43:39	ga_ls8c_ard_3-2-1_094079_2022-10-01_final
2022-10-26 09:36:40	ga_ls8c_ard_3-2-1_093077_2022-10-26_final
2022-10-26 09:37:03	ga_ls8c_ard_3-2-1_093078_2022-10-26_final
2022-10-26 09:37:27	ga_ls8c_ard_3-2-1_093079_2022-10-26_final
2022-10-26 09:37:51	ga_ls8c_ard_3-2-1_093080_2022-10-26_final
2022-10-26 09:38:15	ga_ls8c_ard_3-2-1_093081_2022-10-26_final
2022-10-26 09:38:39	ga_ls8c_ard_3-2-1_093082_2022-10-26_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