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
2020-02-05 08:10:46	ga_ls8c_ard_3-2-1_079080_2020-02-04_final
2023-08-05 10:56:14	ga_ls8c_ard_3-2-1_106077_2023-08-05_final
2023-08-09 10:31:31	ga_ls8c_ard_3-2-1_102077_2023-08-09_final
2023-08-10 09:35:53	ga_ls8c_ard_3-2-1_093077_2023-08-10_final
2023-08-19 09:31:25	ga_ls8c_ard_3-2-1_092081_2023-08-19_final
2023-08-19 11:10:42	ga_ls8c_ard_3-2-1_108082_2023-08-19_final
2023-08-21 09:19:52	ga_ls8c_ard_3-2-1_090083_2023-08-20_final
2023-08-22 10:00:21	ga_ls8c_ard_3-2-1_097076_2023-08-22_final
2023-08-22 11:38:50	ga_ls8c_ard_3-2-1_113075_2023-08-22_final
2023-08-22 11:40:25	ga_ls8c_ard_3-2-1_113079_2023-08-22_final
2023-08-23 10:45:12	ga_ls8c_ard_3-2-1_104080_2023-08-23_final
2023-08-25 10:31:15	ga_ls8c_ard_3-2-1_102076_2023-08-25_final
2023-08-26 09:36:02	ga_ls8c_ard_3-2-1_093077_2023-08-26_final
2023-08-27 10:20:54	ga_ls8c_ard_3-2-1_100081_2023-08-27_final
2023-08-28 11:00:58	ga_ls8c_ard_3-2-1_107073_2023-08-28_final
2023-08-29 10:06:32	ga_ls8c_ard_3-2-1_098076_2023-08-29_final
2023-08-30 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-08-30_final
2023-08-30 10:51:24	ga_ls8c_ard_3-2-1_105080_2023-08-30_final
2023-08-31 09:56:10	ga_ls8c_ard_3-2-1_096081_2023-08-31_final
2023-09-01 10:38:38	ga_ls8c_ard_3-2-1_103079_2023-09-01_final
2023-09-01 10:39:02	ga_ls8c_ard_3-2-1_103080_2023-09-01_final
2023-09-02 09:44:36	ga_ls8c_ard_3-2-1_094083_2023-09-02_final
2023-09-02 11:22:17	ga_ls8c_ard_3-2-1_110080_2023-09-02_final
2023-09-04 09:30:14	ga_ls8c_ard_3-2-1_092078_2023-09-04_final
2023-09-04 09:30:38	ga_ls8c_ard_3-2-1_092079_2023-09-04_final
2023-09-04 09:31:26	ga_ls8c_ard_3-2-1_092081_2023-09-04_final
2023-09-05 10:12:17	ga_ls8c_ard_3-2-1_099075_2023-09-05_final
2023-09-06 09:18:39	ga_ls8c_ard_3-2-1_090080_2023-09-05_final
2023-09-07 10:02:19	ga_ls8c_ard_3-2-1_097081_2023-09-07_final
2023-09-07 11:40:24	ga_ls8c_ard_3-2-1_113079_2023-09-07_final
2023-09-09 09:47:59	ga_ls8c_ard_3-2-1_095076_2023-09-09_final
2023-09-17 10:37:06	ga_ls8c_ard_3-2-1_103075_2023-09-17_final
2023-09-17 10:37:30	ga_ls8c_ard_3-2-1_103076_2023-09-17_final
2023-09-18 09:44:41	ga_ls8c_ard_3-2-1_094083_2023-09-18_final
2023-09-20 09:30:44	ga_ls8c_ard_3-2-1_092079_2023-09-20_final
2023-09-22 10:56:27	ga_ls8c_ard_3-2-1_106077_2023-09-22_final
2023-09-23 10:03:13	ga_ls8c_ard_3-2-1_097083_2023-09-23_final
2023-09-24 10:43:42	ga_ls8c_ard_3-2-1_104076_2023-09-24_final
2023-09-24 10:44:06	ga_ls8c_ard_3-2-1_104077_2023-09-24_final
2023-09-27 11:16:14	ga_ls8c_ard_3-2-1_109080_2023-09-27_final
2023-09-28 10:20:37	ga_ls8c_ard_3-2-1_100080_2023-09-28_final
2023-09-29 09:24:36	ga_ls8c_ard_3-2-1_091079_2023-09-28_final
2023-10-01 10:50:43	ga_ls8c_ard_3-2-1_105078_2023-10-01_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-06 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-10-06_final
2023-10-07 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-10-07_final
2023-10-12 10:31:26	ga_ls8c_ard_3-2-1_102076_2023-10-12_final
2023-10-13 11:16:17	ga_ls8c_ard_3-2-1_109080_2023-10-13_final
2023-10-17 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-10-17_final
2023-10-20 09:43:33	ga_ls8c_ard_3-2-1_094080_2023-10-20_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_final
2023-10-23 10:14:53	ga_ls8c_ard_3-2-1_099081_2023-10-23_final
2023-10-25 11:40:38	ga_ls8c_ard_3-2-1_113079_2023-10-25_final
2023-10-27 09:49:48	ga_ls8c_ard_3-2-1_095080_2023-10-27_final
2023-10-29 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-10-29_final
2023-10-29 11:16:20	ga_ls8c_ard_3-2-1_109080_2023-10-29_final
2023-10-30 10:20:43	ga_ls8c_ard_3-2-1_100080_2023-10-30_final
2023-11-03 09:55:35	ga_ls8c_ard_3-2-1_096079_2023-11-03_final
2023-11-03 09:55:59	ga_ls8c_ard_3-2-1_096080_2023-11-03_final
2023-11-03 11:34:28	ga_ls8c_ard_3-2-1_112079_2023-11-03_final
2023-11-05 09:44:48	ga_ls8c_ard_3-2-1_094083_2023-11-05_final
2023-11-06 10:27:16	ga_ls8c_ard_3-2-1_101081_2023-11-06_final
2023-11-10 10:00:05	ga_ls8c_ard_3-2-1_097075_2023-11-10_final
2023-11-10 10:02:52	ga_ls8c_ard_3-2-1_097082_2023-11-10_final
2023-11-11 10:44:57	ga_ls8c_ard_3-2-1_104079_2023-11-11_final
2023-11-12 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-11-12_final
2023-11-12 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-11-12_final
2023-11-14 09:37:01	ga_ls8c_ard_3-2-1_093079_2023-11-14_final
2023-11-14 11:15:54	ga_ls8c_ard_3-2-1_109079_2023-11-14_final
2023-11-19 11:34:29	ga_ls8c_ard_3-2-1_112079_2023-11-19_final
2023-11-21 09:43:15	ga_ls8c_ard_3-2-1_094079_2023-11-21_final
2023-11-28 11:27:31	ga_ls8c_ard_3-2-1_111077_2023-11-28_final
2023-12-07 11:21:59	ga_ls8c_ard_3-2-1_110079_2023-12-07_final
2023-12-17 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-17_final
2023-12-21 09:56:00	ga_ls8c_ard_3-2-1_096080_2023-12-21_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2023-12-28 11:40:37	ga_ls8c_ard_3-2-1_113079_2023-12-28_final
2023-12-30 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-12-30_final
2024-01-01 09:36:58	ga_ls8c_ard_3-2-1_093079_2024-01-01_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-24 09:41:52	ga_ls8c_ard_3-2-1_094076_2024-01-24_final
2024-01-29 11:40:28	ga_ls8c_ard_3-2-1_113079_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-02-09 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-02-09_final
2024-02-14 11:40:31	ga_ls8c_ard_3-2-1_113079_2024-02-14_final
2024-02-15 10:45:41	ga_ls8c_ard_3-2-1_104081_2024-02-15_final
2024-02-16 09:48:28	ga_ls8c_ard_3-2-1_095077_2024-02-16_final
2024-02-19 10:20:58	ga_ls8c_ard_3-2-1_100081_2024-02-19_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-03-01 10:02:20	ga_ls8c_ard_3-2-1_097081_2024-03-01_final
2024-03-05 09:37:56	ga_ls8c_ard_3-2-1_093082_2024-03-05_final
2024-03-06 10:20:46	ga_ls8c_ard_3-2-1_100081_2024-03-06_final
2024-03-10 09:55:14	ga_ls8c_ard_3-2-1_096079_2024-03-10_final
2024-03-11 10:38:29	ga_ls8c_ard_3-2-1_103079_2024-03-11_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-17 10:00:10	ga_ls8c_ard_3-2-1_097076_2024-03-17_final
2024-03-29 10:25:52	ga_ls8c_ard_3-2-1_101079_2024-03-29_final
2024-03-31 10:14:19	ga_ls8c_ard_3-2-1_099081_2024-03-31_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