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
2014-07-09 09:33:18	ga_ls8c_ard_3-0-0_092086_2014-07-09_final
2014-07-09 09:33:42	ga_ls8c_ard_3-0-0_092087_2014-07-09_final
2014-07-09 09:34:06	ga_ls8c_ard_3-0-0_092088_2014-07-09_final
2014-07-09 09:34:30	ga_ls8c_ard_3-0-0_092089_2014-07-09_final
2014-08-17 09:38:06	ga_ls8c_ard_3-0-0_093082_2014-08-17_final
2014-08-17 09:38:30	ga_ls8c_ard_3-0-0_093083_2014-08-17_final
2014-08-17 09:38:54	ga_ls8c_ard_3-0-0_093084_2014-08-17_final
2014-08-17 09:39:18	ga_ls8c_ard_3-1-0_093085_2014-08-17_final
2014-08-17 09:39:42	ga_ls8c_ard_3-0-0_093086_2014-08-17_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-08-17 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-08-17_final
2014-08-19 09:28:32	ga_ls8c_ard_3-0-0_091089_2014-08-18_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-22 09:51:52	ga_ls8c_ard_3-0-0_096070_2014-08-22_final
2014-08-22 09:52:16	ga_ls8c_ard_3-0-0_096071_2014-08-22_final
2014-08-22 09:52:40	ga_ls8c_ard_3-0-0_096072_2014-08-22_final
2014-08-22 09:53:04	ga_ls8c_ard_3-0-0_096073_2014-08-22_final
2014-08-22 09:53:28	ga_ls8c_ard_3-0-0_096074_2014-08-22_final
2014-08-22 09:53:51	ga_ls8c_ard_3-0-0_096075_2014-08-22_final
2014-08-24 09:42:42	ga_ls8c_ard_3-0-0_094078_2014-08-24_final
2014-08-24 09:43:06	ga_ls8c_ard_3-0-0_094079_2014-08-24_final
2014-08-24 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-08-24_final
2014-08-24 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-08-24_final
2014-08-24 09:44:18	ga_ls8c_ard_3-0-0_094082_2014-08-24_final
2014-08-24 09:44:41	ga_ls8c_ard_3-0-0_094083_2014-08-24_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-09-02 09:38:08	ga_ls8c_ard_3-0-0_093082_2014-09-02_final
2014-09-02 09:38:32	ga_ls8c_ard_3-0-0_093083_2014-09-02_final
2014-09-02 09:38:56	ga_ls8c_ard_3-0-0_093084_2014-09-02_final
2014-09-02 09:39:20	ga_ls8c_ard_3-1-0_093085_2014-09-02_final
2014-09-02 09:39:44	ga_ls8c_ard_3-0-0_093086_2014-09-02_final
2014-09-02 09:40:08	ga_ls8c_ard_3-0-0_093087_2014-09-02_final
2014-09-02 09:40:32	ga_ls8c_ard_3-0-0_093088_2014-09-02_final
2014-09-04 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-03_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-09-18 09:38:10	ga_ls8c_ard_3-0-0_093082_2014-09-18_final
2014-09-18 09:38:34	ga_ls8c_ard_3-0-0_093083_2014-09-18_final
2014-09-18 09:38:58	ga_ls8c_ard_3-0-0_093084_2014-09-18_final
2014-09-18 09:39:22	ga_ls8c_ard_3-1-0_093085_2014-09-18_final
2014-09-18 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-09-18_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-20 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-09-19_final
2014-09-20 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-19_final
2014-12-23 09:38:09	ga_ls8c_ard_3-0-0_093082_2014-12-23_final
2014-12-23 09:38:33	ga_ls8c_ard_3-0-0_093083_2014-12-23_final
2014-12-23 09:38:57	ga_ls8c_ard_3-0-0_093084_2014-12-23_final
2014-12-23 09:39:21	ga_ls8c_ard_3-0-0_093085_2014-12-23_final
2014-12-23 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-12-23_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:28:34	ga_ls8c_ard_3-0-0_091089_2014-12-24_final
2014-12-25 09:28:58	ga_ls8c_ard_3-0-0_091090_2014-12-24_final
2017-07-08 09:37:50	ga_ls8c_ard_3-0-0_093082_2017-07-08_final
2017-07-08 09:38:14	ga_ls8c_ard_3-0-0_093083_2017-07-08_final
2017-07-08 09:38:38	ga_ls8c_ard_3-0-0_093084_2017-07-08_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_final
2017-07-08 09:39:26	ga_ls8c_ard_3-0-0_093086_2017-07-08_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-07-08 09:40:14	ga_ls8c_ard_3-0-0_093088_2017-07-08_final
2017-07-15 09:42:50	ga_ls8c_ard_3-0-0_094079_2017-07-15_final
2017-07-15 09:43:14	ga_ls8c_ard_3-0-0_094080_2017-07-15_final
2017-07-15 09:43:38	ga_ls8c_ard_3-0-0_094081_2017-07-15_final
2017-07-15 09:44:02	ga_ls8c_ard_3-0-0_094082_2017-07-15_final
2017-07-15 09:44:26	ga_ls8c_ard_3-0-0_094083_2017-07-15_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2023-03-01 09:47:15	ga_ls8c_ard_3-2-1_095074_2023-03-01_final
2023-03-01 09:47:39	ga_ls8c_ard_3-2-1_095075_2023-03-01_final
2023-03-01 09:48:03	ga_ls8c_ard_3-2-1_095076_2023-03-01_final
2023-03-01 09:48:27	ga_ls8c_ard_3-2-1_095077_2023-03-01_final
2023-03-01 09:48:51	ga_ls8c_ard_3-2-1_095078_2023-03-01_final
2023-03-01 09:49:15	ga_ls8c_ard_3-2-1_095079_2023-03-01_final
2023-03-01 09:49:39	ga_ls8c_ard_3-2-1_095080_2023-03-01_final
2023-03-03 09:38:05	ga_ls8c_ard_3-2-1_093082_2023-03-03_final
2023-03-03 09:38:29	ga_ls8c_ard_3-2-1_093083_2023-03-03_final
2023-03-03 09:38:53	ga_ls8c_ard_3-2-1_093084_2023-03-03_final
2023-03-03 09:39:17	ga_ls8c_ard_3-2-1_093085_2023-03-03_final
2023-03-03 09:39:41	ga_ls8c_ard_3-2-1_093086_2023-03-03_final
2023-03-03 09:40:05	ga_ls8c_ard_3-2-1_093087_2023-03-03_final
2023-03-03 09:40:28	ga_ls8c_ard_3-2-1_093088_2023-03-03_final
2023-03-19 09:37:57	ga_ls8c_ard_3-2-1_093082_2023-03-19_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-03-19 09:38:45	ga_ls8c_ard_3-2-1_093084_2023-03-19_final
2023-03-19 09:39:09	ga_ls8c_ard_3-2-1_093085_2023-03-19_final
2023-03-19 09:39:33	ga_ls8c_ard_3-2-1_093086_2023-03-19_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-03-24 09:52:25	ga_ls8c_ard_3-2-1_096072_2023-03-24_final
2023-03-24 09:52:49	ga_ls8c_ard_3-2-1_096073_2023-03-24_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-24 09:53:37	ga_ls8c_ard_3-2-1_096075_2023-03-24_final
2023-10-15 09:28:38	ga_ls8c_ard_3-2-1_091089_2023-10-14_nrt
2023-10-20 09:42:45	ga_ls8c_ard_3-2-1_094078_2023-10-20_final
2023-10-20 09:43:09	ga_ls8c_ard_3-2-1_094079_2023-10-20_final
2023-10-20 09:43:33	ga_ls8c_ard_3-2-1_094080_2023-10-20_final
2023-10-20 09:43:57	ga_ls8c_ard_3-2-1_094081_2023-10-20_final
2023-10-20 09:44:21	ga_ls8c_ard_3-2-1_094082_2023-10-20_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_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