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
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-06-02 09:26:39	ga_ls8c_ard_3-0-0_092072_2018-06-01_final
2018-06-02 09:27:03	ga_ls8c_ard_3-0-0_092073_2018-06-01_final
2018-06-02 09:27:27	ga_ls8c_ard_3-0-0_092074_2018-06-01_final
2018-06-02 09:27:51	ga_ls8c_ard_3-0-0_092075_2018-06-01_final
2018-06-02 09:28:15	ga_ls8c_ard_3-0-0_092076_2018-06-01_final
2018-06-02 09:28:39	ga_ls8c_ard_3-0-0_092077_2018-06-01_final
2018-06-02 09:29:03	ga_ls8c_ard_3-0-0_092078_2018-06-01_final
2018-06-04 09:17:52	ga_ls8c_ard_3-0-0_090081_2018-06-03_final
2018-06-04 09:18:16	ga_ls8c_ard_3-0-0_090082_2018-06-03_final
2018-06-04 09:18:40	ga_ls8c_ard_3-0-0_090083_2018-06-03_final
2018-06-04 09:19:04	ga_ls8c_ard_3-0-0_090084_2018-06-03_final
2018-06-04 09:19:28	ga_ls8c_ard_3-0-0_090085_2018-06-03_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-11 09:22:31	ga_ls8c_ard_3-0-0_091077_2018-06-10_final
2018-06-11 09:22:55	ga_ls8c_ard_3-0-0_091078_2018-06-10_final
2018-06-11 09:23:19	ga_ls8c_ard_3-0-0_091079_2018-06-10_final
2018-06-11 09:23:43	ga_ls8c_ard_3-0-0_091080_2018-06-10_final
2018-06-11 09:24:07	ga_ls8c_ard_3-0-0_091081_2018-06-10_final
2018-06-11 09:24:31	ga_ls8c_ard_3-0-0_091082_2018-06-10_final
2018-06-27 09:22:18	ga_ls8c_ard_3-0-0_091076_2018-06-26_final
2018-06-27 09:22:42	ga_ls8c_ard_3-0-0_091077_2018-06-26_final
2018-06-27 09:23:06	ga_ls8c_ard_3-0-0_091078_2018-06-26_final
2018-06-27 09:23:30	ga_ls8c_ard_3-0-0_091079_2018-06-26_final
2018-06-27 09:23:53	ga_ls8c_ard_3-0-0_091080_2018-06-26_final
2018-06-27 09:24:17	ga_ls8c_ard_3-0-0_091081_2018-06-26_final
2018-06-27 09:24:41	ga_ls8c_ard_3-0-0_091082_2018-06-26_final
2018-07-02 09:37:17	ga_ls8c_ard_3-0-0_094067_2018-07-02_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-07-27 09:31:17	ga_ls8c_ard_3-0-0_093067_2018-07-27_final
2018-07-27 09:31:41	ga_ls8c_ard_3-0-0_093068_2018-07-27_final
2018-07-27 09:32:53	ga_ls8c_ard_3-0-0_093071_2018-07-27_final
2018-07-27 09:33:17	ga_ls8c_ard_3-0-0_093072_2018-07-27_final
2018-07-27 09:33:41	ga_ls8c_ard_3-0-0_093073_2018-07-27_final
2018-07-29 09:22:56	ga_ls8c_ard_3-0-0_091077_2018-07-28_final
2018-07-29 09:23:20	ga_ls8c_ard_3-0-0_091078_2018-07-28_final
2018-07-29 09:23:44	ga_ls8c_ard_3-0-0_091079_2018-07-28_final
2018-07-29 09:24:08	ga_ls8c_ard_3-0-0_091080_2018-07-28_final
2018-07-29 09:24:32	ga_ls8c_ard_3-0-0_091081_2018-07-28_final
2018-07-29 09:24:56	ga_ls8c_ard_3-0-0_091082_2018-07-28_final
2018-08-03 09:37:33	ga_ls8c_ard_3-0-0_094067_2018-08-03_final
2018-08-05 09:27:12	ga_ls8c_ard_3-0-0_092072_2018-08-04_final
2018-08-07 09:18:27	ga_ls8c_ard_3-0-0_090081_2018-08-06_final
2018-08-07 09:18:51	ga_ls8c_ard_3-0-0_090082_2018-08-06_final
2018-08-07 09:19:15	ga_ls8c_ard_3-0-0_090083_2018-08-06_final
2018-08-07 09:19:39	ga_ls8c_ard_3-0-0_090084_2018-08-06_final
2018-08-07 09:20:03	ga_ls8c_ard_3-0-0_090085_2018-08-06_final
2018-08-07 09:20:27	ga_ls8c_ard_3-0-0_090086_2018-08-06_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_final
2018-11-23 09:38:10	ga_ls8c_ard_3-0-0_094067_2018-11-23_final
2018-12-18 09:31:55	ga_ls8c_ard_3-0-0_093067_2018-12-18_final
2018-12-18 09:32:19	ga_ls8c_ard_3-0-0_093068_2018-12-18_final
2018-12-18 09:33:31	ga_ls8c_ard_3-0-0_093071_2018-12-18_final
2018-12-18 09:33:55	ga_ls8c_ard_3-0-0_093072_2018-12-18_final
2018-12-18 09:34:19	ga_ls8c_ard_3-0-0_093073_2018-12-18_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-10-22 09:14:30	ga_ls8c_ard_3-1-0_089084_2019-10-21_final
2019-10-22 09:14:54	ga_ls8c_ard_3-1-0_089085_2019-10-21_final
2019-10-22 09:15:18	ga_ls8c_ard_3-1-0_089086_2019-10-21_final
2019-10-22 09:15:42	ga_ls8c_ard_3-1-0_089087_2019-10-21_final
2019-10-22 09:16:06	ga_ls8c_ard_3-1-0_089088_2019-10-21_final
2019-10-22 09:16:30	ga_ls8c_ard_3-1-0_089089_2019-10-21_final
2019-10-22 09:16:54	ga_ls8c_ard_3-1-0_089090_2019-10-21_final
2020-06-25 09:18:50	ga_ls8c_ard_3-1-0_090081_2020-06-24_final
2020-06-25 09:19:13	ga_ls8c_ard_3-1-0_090082_2020-06-24_final
2020-06-25 09:19:37	ga_ls8c_ard_3-1-0_090083_2020-06-24_final
2020-06-25 09:20:01	ga_ls8c_ard_3-1-0_090084_2020-06-24_final
2020-06-25 09:20:25	ga_ls8c_ard_3-1-0_090085_2020-06-24_final
2020-06-25 09:20:49	ga_ls8c_ard_3-1-0_090086_2020-06-24_final
2020-08-03 09:23:38	ga_ls8c_ard_3-1-0_091077_2020-08-02_final
2020-08-03 09:24:02	ga_ls8c_ard_3-1-0_091078_2020-08-02_final
2020-08-03 09:24:26	ga_ls8c_ard_3-1-0_091079_2020-08-02_final
2020-08-03 09:24:50	ga_ls8c_ard_3-1-0_091080_2020-08-02_final
2020-08-03 09:25:14	ga_ls8c_ard_3-1-0_091081_2020-08-02_final
2020-08-03 09:25:38	ga_ls8c_ard_3-1-0_091082_2020-08-02_final
2020-08-12 09:19:04	ga_ls8c_ard_3-1-0_090081_2020-08-11_final
2020-08-12 09:19:28	ga_ls8c_ard_3-1-0_090082_2020-08-11_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-08-12 09:20:40	ga_ls8c_ard_3-1-0_090085_2020-08-11_final
2020-08-12 09:21:04	ga_ls8c_ard_3-1-0_090086_2020-08-11_final
2020-08-17 09:32:05	ga_ls8c_ard_3-1-0_093067_2020-08-17_final
2020-08-17 09:32:28	ga_ls8c_ard_3-1-0_093068_2020-08-17_final
2020-08-17 09:33:40	ga_ls8c_ard_3-1-0_093071_2020-08-17_final
2020-08-17 09:34:04	ga_ls8c_ard_3-1-0_093072_2020-08-17_final
2020-08-17 09:34:28	ga_ls8c_ard_3-1-0_093073_2020-08-17_final
2020-08-19 09:23:43	ga_ls8c_ard_3-1-0_091077_2020-08-18_final
2020-08-19 09:24:07	ga_ls8c_ard_3-1-0_091078_2020-08-18_final
2020-08-19 09:24:31	ga_ls8c_ard_3-1-0_091079_2020-08-18_final
2020-08-19 09:24:55	ga_ls8c_ard_3-1-0_091080_2020-08-18_final
2020-08-19 09:25:19	ga_ls8c_ard_3-1-0_091081_2020-08-18_final
2020-08-19 09:25:43	ga_ls8c_ard_3-1-0_091082_2020-08-18_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-26 09:28:22	ga_ls8c_ard_3-1-0_092073_2020-08-25_final
2020-08-26 09:28:46	ga_ls8c_ard_3-1-0_092074_2020-08-25_final
2020-08-26 09:29:10	ga_ls8c_ard_3-1-0_092075_2020-08-25_final
2020-08-26 09:29:34	ga_ls8c_ard_3-1-0_092076_2020-08-25_final
2020-08-26 09:29:58	ga_ls8c_ard_3-1-0_092077_2020-08-25_final
2020-08-26 09:30:22	ga_ls8c_ard_3-1-0_092078_2020-08-26_final
2020-09-02 09:32:13	ga_ls8c_ard_3-1-0_093067_2020-09-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years