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
2024-04-15 09:29:24	ga_ls8c_ard_3-2-1_092077_2024-04-14_final
2024-04-15 09:30:35	ga_ls8c_ard_3-2-1_092080_2024-04-15_final
2024-04-15 09:30:59	ga_ls8c_ard_3-2-1_092081_2024-04-15_final
2024-04-15 09:32:59	ga_ls8c_ard_3-2-1_092086_2024-04-15_final
2024-04-15 09:34:11	ga_ls8c_ard_3-2-1_092089_2024-04-15_final
2024-04-17 09:20:36	ga_ls8c_ard_3-2-1_090086_2024-04-16_final
2024-04-20 09:45:28	ga_ls8c_ard_3-2-1_095071_2024-04-20_final
2024-04-20 09:45:52	ga_ls8c_ard_3-2-1_095072_2024-04-20_final
2024-04-20 09:46:40	ga_ls8c_ard_3-2-1_095074_2024-04-20_final
2024-04-20 09:47:04	ga_ls8c_ard_3-2-1_095075_2024-04-20_final
2024-04-20 09:47:28	ga_ls8c_ard_3-2-1_095076_2024-04-20_final
2024-04-20 09:47:51	ga_ls8c_ard_3-2-1_095077_2024-04-20_final
2024-04-20 09:48:15	ga_ls8c_ard_3-2-1_095078_2024-04-20_final
2024-04-22 09:37:06	ga_ls8c_ard_3-2-1_093081_2024-04-22_final
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_final
2024-04-22 09:37:54	ga_ls8c_ard_3-2-1_093083_2024-04-22_final
2024-04-22 09:38:18	ga_ls8c_ard_3-2-1_093084_2024-04-22_final
2024-04-22 09:39:06	ga_ls8c_ard_3-2-1_093086_2024-04-22_final
2024-04-24 09:24:20	ga_ls8c_ard_3-2-1_091080_2024-04-23_final
2024-04-24 09:27:31	ga_ls8c_ard_3-2-1_091088_2024-04-23_final
2024-04-24 09:28:19	ga_ls8c_ard_3-2-1_091090_2024-04-23_final
2024-04-26 09:15:33	ga_ls8c_ard_3-2-1_089089_2024-04-25_final
2024-04-26 09:15:57	ga_ls8c_ard_3-2-1_089090_2024-04-25_final
2024-04-27 09:51:12	ga_ls8c_ard_3-2-1_096070_2024-04-27_final
2024-04-27 09:51:36	ga_ls8c_ard_3-2-1_096071_2024-04-27_final
2024-04-27 09:52:00	ga_ls8c_ard_3-2-1_096072_2024-04-27_final
2024-04-27 09:52:24	ga_ls8c_ard_3-2-1_096073_2024-04-27_final
2024-04-27 09:52:48	ga_ls8c_ard_3-2-1_096074_2024-04-27_final
2024-04-29 09:39:13	ga_ls8c_ard_3-2-1_094071_2024-04-29_final
2024-04-29 09:39:37	ga_ls8c_ard_3-2-1_094072_2024-04-29_final
2024-04-29 09:40:01	ga_ls8c_ard_3-2-1_094073_2024-04-29_final
2024-04-29 09:40:24	ga_ls8c_ard_3-2-1_094074_2024-04-29_final
2024-04-29 09:40:48	ga_ls8c_ard_3-2-1_094075_2024-04-29_final
2024-04-29 09:41:12	ga_ls8c_ard_3-2-1_094076_2024-04-29_final
2024-04-29 09:41:36	ga_ls8c_ard_3-2-1_094077_2024-04-29_final
2024-04-29 09:42:00	ga_ls8c_ard_3-2-1_094078_2024-04-29_final
2024-04-29 09:42:24	ga_ls8c_ard_3-2-1_094079_2024-04-29_final
2024-04-29 09:42:48	ga_ls8c_ard_3-2-1_094080_2024-04-29_final
2024-04-29 09:43:12	ga_ls8c_ard_3-2-1_094081_2024-04-29_final
2024-04-29 09:43:36	ga_ls8c_ard_3-2-1_094082_2024-04-29_final
2024-04-29 09:44:00	ga_ls8c_ard_3-2-1_094083_2024-04-29_final
2024-05-01 09:28:48	ga_ls8c_ard_3-2-1_092076_2024-04-30_final
2024-05-01 09:29:12	ga_ls8c_ard_3-2-1_092077_2024-04-30_final
2024-05-01 09:29:36	ga_ls8c_ard_3-2-1_092078_2024-04-30_final
2024-05-01 09:30:00	ga_ls8c_ard_3-2-1_092079_2024-05-01_final
2024-05-01 09:30:24	ga_ls8c_ard_3-2-1_092080_2024-05-01_final
2024-05-01 09:30:48	ga_ls8c_ard_3-2-1_092081_2024-05-01_final
2024-05-01 09:31:12	ga_ls8c_ard_3-2-1_092082_2024-05-01_final
2024-05-01 09:31:36	ga_ls8c_ard_3-2-1_092083_2024-05-01_final
2024-05-01 09:32:00	ga_ls8c_ard_3-2-1_092084_2024-05-01_final
2024-05-01 09:32:24	ga_ls8c_ard_3-2-1_092085_2024-05-01_final
2024-05-01 09:32:48	ga_ls8c_ard_3-2-1_092086_2024-05-01_final
2024-05-01 09:33:12	ga_ls8c_ard_3-2-1_092087_2024-05-01_final
2024-05-01 09:33:36	ga_ls8c_ard_3-2-1_092088_2024-05-01_final
2024-05-01 09:34:00	ga_ls8c_ard_3-2-1_092089_2024-05-01_final
2024-05-01 09:34:23	ga_ls8c_ard_3-2-1_092090_2024-05-01_final
2024-05-03 09:19:37	ga_ls8c_ard_3-2-1_090084_2024-05-02_final
2024-05-03 09:20:01	ga_ls8c_ard_3-2-1_090085_2024-05-02_final
2024-05-03 09:20:25	ga_ls8c_ard_3-2-1_090086_2024-05-02_final
2024-05-03 09:20:49	ga_ls8c_ard_3-2-1_090087_2024-05-02_final
2024-05-03 09:21:13	ga_ls8c_ard_3-2-1_090088_2024-05-02_final
2024-05-03 09:21:37	ga_ls8c_ard_3-2-1_090089_2024-05-02_final
2024-05-03 09:22:01	ga_ls8c_ard_3-2-1_090090_2024-05-02_final
2024-05-04 09:56:05	ga_ls8c_ard_3-2-1_097067_2024-05-04_final
2024-05-04 09:56:29	ga_ls8c_ard_3-2-1_097068_2024-05-04_final
2024-05-04 09:56:53	ga_ls8c_ard_3-2-1_097069_2024-05-04_final
2024-05-06 09:45:19	ga_ls8c_ard_3-2-1_095071_2024-05-06_final
2024-05-06 09:45:43	ga_ls8c_ard_3-2-1_095072_2024-05-06_final
2024-05-06 09:46:31	ga_ls8c_ard_3-2-1_095074_2024-05-06_final
2024-05-06 09:46:54	ga_ls8c_ard_3-2-1_095075_2024-05-06_final
2024-05-06 09:47:18	ga_ls8c_ard_3-2-1_095076_2024-05-06_final
2024-05-06 09:47:42	ga_ls8c_ard_3-2-1_095077_2024-05-06_final
2024-05-06 09:48:06	ga_ls8c_ard_3-2-1_095078_2024-05-06_final
2024-05-06 09:48:30	ga_ls8c_ard_3-2-1_095079_2024-05-06_final
2024-05-08 09:32:56	ga_ls8c_ard_3-2-1_093071_2024-05-08_final
2024-05-08 09:33:20	ga_ls8c_ard_3-2-1_093072_2024-05-08_final
2024-05-08 09:33:44	ga_ls8c_ard_3-2-1_093073_2024-05-08_final
2024-05-08 09:34:08	ga_ls8c_ard_3-2-1_093074_2024-05-08_final
2024-05-08 09:34:32	ga_ls8c_ard_3-2-1_093075_2024-05-08_final
2024-05-08 09:34:56	ga_ls8c_ard_3-2-1_093076_2024-05-08_final
2024-05-08 09:35:20	ga_ls8c_ard_3-2-1_093077_2024-05-08_final
2024-05-08 09:35:44	ga_ls8c_ard_3-2-1_093078_2024-05-08_final
2024-05-08 09:36:08	ga_ls8c_ard_3-2-1_093079_2024-05-08_final
2024-05-08 09:36:31	ga_ls8c_ard_3-2-1_093080_2024-05-08_final
2024-05-08 09:36:55	ga_ls8c_ard_3-2-1_093081_2024-05-08_final
2024-05-08 09:37:19	ga_ls8c_ard_3-2-1_093082_2024-05-08_final
2024-05-08 09:37:43	ga_ls8c_ard_3-2-1_093083_2024-05-08_final
2024-05-08 09:38:07	ga_ls8c_ard_3-2-1_093084_2024-05-08_final
2024-05-08 09:38:31	ga_ls8c_ard_3-2-1_093085_2024-05-08_final
2024-05-08 09:38:55	ga_ls8c_ard_3-2-1_093086_2024-05-08_final
2024-05-10 09:24:08	ga_ls8c_ard_3-2-1_091080_2024-05-09_final
2024-05-10 09:24:32	ga_ls8c_ard_3-2-1_091081_2024-05-09_final
2024-05-10 09:24:56	ga_ls8c_ard_3-2-1_091082_2024-05-09_final
2024-05-10 09:25:20	ga_ls8c_ard_3-2-1_091083_2024-05-09_final
2024-05-10 09:25:44	ga_ls8c_ard_3-2-1_091084_2024-05-09_final
2024-05-10 09:26:08	ga_ls8c_ard_3-2-1_091085_2024-05-09_final
2024-05-10 09:26:32	ga_ls8c_ard_3-2-1_091086_2024-05-09_final
2024-05-10 09:26:56	ga_ls8c_ard_3-2-1_091087_2024-05-09_final
2024-05-10 09:27:20	ga_ls8c_ard_3-2-1_091088_2024-05-09_final
2024-05-10 09:27:44	ga_ls8c_ard_3-2-1_091089_2024-05-09_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