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
2023-02-02 10:08:07	ga_ls8c_ard_3-2-1_098079_2023-02-02_final
2023-02-02 10:08:31	ga_ls8c_ard_3-2-1_098080_2023-02-02_final
2023-02-03 10:48:11	ga_ls8c_ard_3-2-1_105071_2023-02-03_final
2023-03-18 10:31:35	ga_ls8c_ard_3-2-1_102077_2023-03-18_final
2023-03-19 09:35:33	ga_ls8c_ard_3-2-1_093076_2023-03-19_final
2023-03-22 10:05:36	ga_ls8c_ard_3-2-1_098074_2023-03-22_final
2023-03-23 10:49:15	ga_ls8c_ard_3-2-1_105075_2023-03-23_final
2023-03-24 11:32:06	ga_ls8c_ard_3-2-1_112074_2023-03-24_final
2023-06-23 11:16:23	ga_ls8c_ard_3-2-1_109082_2023-06-23_final
2023-06-26 11:44:57	ga_ls8c_ard_3-2-1_114076_2023-06-26_final
2023-06-27 10:47:21	ga_ls8c_ard_3-2-1_105071_2023-06-27_final
2023-06-27 10:47:45	ga_ls8c_ard_3-2-1_105072_2023-06-27_final
2023-06-30 09:40:37	ga_ls8c_ard_3-2-1_094074_2023-06-30_final
2023-07-02 09:29:29	ga_ls8c_ard_3-2-1_092077_2023-07-01_final
2023-07-02 09:31:04	ga_ls8c_ard_3-2-1_092081_2023-07-02_final
2023-07-04 10:54:50	ga_ls8c_ard_3-2-1_106074_2023-07-04_final
2023-07-05 09:58:01	ga_ls8c_ard_3-2-1_097071_2023-07-05_final
2023-07-05 09:58:25	ga_ls8c_ard_3-2-1_097072_2023-07-05_final
2023-07-08 10:30:32	ga_ls8c_ard_3-2-1_102075_2023-07-08_final
2023-07-08 10:32:32	ga_ls8c_ard_3-2-1_102080_2023-07-08_final
2023-07-09 11:13:01	ga_ls8c_ard_3-2-1_109073_2023-07-09_final
2023-07-11 11:03:27	ga_ls8c_ard_3-2-1_107080_2023-07-11_final
2023-07-12 11:45:55	ga_ls8c_ard_3-2-1_114078_2023-07-12_final
2023-07-12 11:46:43	ga_ls8c_ard_3-2-1_114080_2023-07-12_final
2023-07-13 09:14:13	ga_ls8c_ard_3-2-1_089085_2023-07-12_final
2023-07-14 09:57:29	ga_ls8c_ard_3-2-1_096085_2023-07-14_final
2023-07-17 10:22:47	ga_ls8c_ard_3-2-1_101071_2023-07-17_final
2023-07-18 09:29:10	ga_ls8c_ard_3-2-1_092076_2023-07-17_final
2023-07-18 09:30:45	ga_ls8c_ard_3-2-1_092080_2023-07-18_final
2023-07-21 10:03:15	ga_ls8c_ard_3-2-1_097084_2023-07-21_final
2023-07-21 11:40:56	ga_ls8c_ard_3-2-1_113081_2023-07-21_final
2023-07-21 11:41:20	ga_ls8c_ard_3-2-1_113082_2023-07-21_final
2023-07-23 09:47:44	ga_ls8c_ard_3-2-1_095076_2023-07-23_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 11:25:49	ga_ls8c_ard_3-2-1_111074_2023-07-23_final
2023-07-25 09:38:36	ga_ls8c_ard_3-2-1_093084_2023-07-25_final
2023-07-25 11:13:06	ga_ls8c_ard_3-2-1_109073_2023-07-25_final
2023-07-26 10:17:53	ga_ls8c_ard_3-2-1_100074_2023-07-26_final
2023-07-26 10:19:53	ga_ls8c_ard_3-2-1_100079_2023-07-26_final
2023-07-26 10:21:04	ga_ls8c_ard_3-2-1_100082_2023-07-26_final
2023-07-26 11:57:58	ga_ls8c_ard_3-2-1_116077_2023-07-26_final
2023-07-27 09:23:04	ga_ls8c_ard_3-2-1_091076_2023-07-26_final
2023-07-28 10:07:56	ga_ls8c_ard_3-2-1_098080_2023-07-28_final
2023-07-29 10:46:49	ga_ls8c_ard_3-2-1_105069_2023-07-29_final
2023-07-30 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-07-30_final
2023-08-01 09:40:28	ga_ls8c_ard_3-2-1_094073_2023-08-01_final
2023-08-01 11:23:20	ga_ls8c_ard_3-2-1_110083_2023-08-01_final
2023-08-02 10:24:56	ga_ls8c_ard_3-2-1_101076_2023-08-02_final
2023-08-02 10:25:44	ga_ls8c_ard_3-2-1_101078_2023-08-02_final
2023-08-03 09:29:19	ga_ls8c_ard_3-2-1_092076_2023-08-02_final
2023-08-03 09:29:43	ga_ls8c_ard_3-2-1_092077_2023-08-02_final
2023-08-03 09:32:30	ga_ls8c_ard_3-2-1_092084_2023-08-03_final
2023-08-06 09:59:25	ga_ls8c_ard_3-2-1_097074_2023-08-06_final
2023-08-06 10:01:49	ga_ls8c_ard_3-2-1_097080_2023-08-06_final
2023-08-06 10:03:25	ga_ls8c_ard_3-2-1_097084_2023-08-06_final
2023-08-06 10:03:49	ga_ls8c_ard_3-2-1_097085_2023-08-06_final
2023-08-07 10:40:17	ga_ls8c_ard_3-2-1_104068_2023-08-07_final
2023-08-08 11:25:57	ga_ls8c_ard_3-2-1_111074_2023-08-08_final
2023-08-10 09:35:06	ga_ls8c_ard_3-2-1_093075_2023-08-10_final
2023-08-11 10:17:33	ga_ls8c_ard_3-2-1_100073_2023-08-11_final
2023-08-11 10:21:09	ga_ls8c_ard_3-2-1_100082_2023-08-11_final
2023-08-12 09:24:21	ga_ls8c_ard_3-2-1_091079_2023-08-11_final
2023-08-12 10:59:38	ga_ls8c_ard_3-2-1_107070_2023-08-12_final
2023-08-14 10:46:07	ga_ls8c_ard_3-2-1_105067_2023-08-14_final
2023-08-19 09:29:25	ga_ls8c_ard_3-2-1_092076_2023-08-18_final
2023-08-20 10:15:29	ga_ls8c_ard_3-2-1_099083_2023-08-20_final
2023-08-21 10:53:58	ga_ls8c_ard_3-2-1_106071_2023-08-21_final
2023-08-21 10:54:46	ga_ls8c_ard_3-2-1_106073_2023-08-21_final
2023-08-22 09:59:09	ga_ls8c_ard_3-2-1_097073_2023-08-22_final
2023-08-24 09:51:11	ga_ls8c_ard_3-2-1_095084_2023-08-24_final
2023-08-24 11:25:17	ga_ls8c_ard_3-2-1_111072_2023-08-24_final
2023-08-26 09:39:38	ga_ls8c_ard_3-2-1_093086_2023-08-26_final
2023-08-26 11:12:32	ga_ls8c_ard_3-2-1_109071_2023-08-26_final
2023-08-27 10:16:54	ga_ls8c_ard_3-2-1_100071_2023-08-27_final
2023-08-27 11:58:35	ga_ls8c_ard_3-2-1_116078_2023-08-27_final
2023-08-29 11:46:13	ga_ls8c_ard_3-2-1_114078_2023-08-29_final
2023-08-30 10:47:01	ga_ls8c_ard_3-2-1_105069_2023-08-30_final
2023-09-02 11:22:41	ga_ls8c_ard_3-2-1_110081_2023-09-02_final
2023-09-03 10:25:52	ga_ls8c_ard_3-2-1_101078_2023-09-03_final
2023-09-04 09:29:02	ga_ls8c_ard_3-2-1_092075_2023-09-03_final
2023-09-05 10:14:17	ga_ls8c_ard_3-2-1_099080_2023-09-05_final
2023-09-08 10:40:24	ga_ls8c_ard_3-2-1_104068_2023-09-08_final
2023-09-08 10:41:12	ga_ls8c_ard_3-2-1_104070_2023-09-08_final
2023-09-09 09:47:36	ga_ls8c_ard_3-2-1_095075_2023-09-09_final
2023-09-10 10:29:16	ga_ls8c_ard_3-2-1_102071_2023-09-10_final
2023-09-11 09:35:39	ga_ls8c_ard_3-2-1_093076_2023-09-11_final
2023-09-13 09:23:43	ga_ls8c_ard_3-2-1_091077_2023-09-12_final
2023-09-13 09:25:19	ga_ls8c_ard_3-2-1_091081_2023-09-12_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-09-13 11:01:24	ga_ls8c_ard_3-2-1_107074_2023-09-13_final
2023-09-14 10:03:24	ga_ls8c_ard_3-2-1_098068_2023-09-14_final
2023-09-15 09:14:10	ga_ls8c_ard_3-2-1_089084_2023-09-14_final
2023-09-15 10:47:04	ga_ls8c_ard_3-2-1_105069_2023-09-15_final
2023-09-18 09:41:05	ga_ls8c_ard_3-2-1_094074_2023-09-18_final
2023-09-18 11:22:46	ga_ls8c_ard_3-2-1_110081_2023-09-18_final
2023-09-19 10:22:45	ga_ls8c_ard_3-2-1_101070_2023-09-19_final
2023-09-19 10:27:33	ga_ls8c_ard_3-2-1_101082_2023-09-19_final
2023-09-20 11:05:37	ga_ls8c_ard_3-2-1_108069_2023-09-20_final
2023-09-21 10:14:23	ga_ls8c_ard_3-2-1_099080_2023-09-21_final
2023-09-22 09:18:22	ga_ls8c_ard_3-2-1_090079_2023-09-21_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