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
2018-10-17 12:37:18	ga_ls8c_ard_3-2-1_123067_2018-10-17_final
2020-03-21 12:31:05	ga_ls8c_ard_3-2-1_122067_2020-03-21_final
2022-02-24 11:42:28	ga_ls8c_ard_3-2-1_113084_2022-02-24_final
2022-03-02 12:37:28	ga_ls8c_ard_3-2-1_123067_2022-03-02_final
2023-01-25 12:31:38	ga_ls8c_ard_3-2-1_122067_2023-01-25_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-04 11:18:50	ga_ls8c_ard_3-2-1_110071_2023-10-04_final
2023-10-06 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-10-06_final
2023-10-07 10:16:02	ga_ls8c_ard_3-2-1_099084_2023-10-07_final
2023-10-13 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-10-13_final
2023-10-21 10:23:38	ga_ls8c_ard_3-2-1_101072_2023-10-21_final
2023-10-21 10:25:38	ga_ls8c_ard_3-2-1_101077_2023-10-21_final
2023-10-23 11:51:47	ga_ls8c_ard_3-2-1_115076_2023-10-23_final
2023-10-24 10:58:58	ga_ls8c_ard_3-2-1_106083_2023-10-24_final
2023-11-02 10:48:01	ga_ls8c_ard_3-2-1_105071_2023-11-02_final
2023-11-02 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-02_final
2023-11-03 11:36:04	ga_ls8c_ard_3-2-1_112083_2023-11-03_final
2023-11-05 09:44:25	ga_ls8c_ard_3-2-1_094082_2023-11-05_final
2023-11-08 10:15:16	ga_ls8c_ard_3-2-1_099082_2023-11-08_final
2023-11-12 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-11-12_final
2023-11-14 11:13:30	ga_ls8c_ard_3-2-1_109073_2023-11-14_final
2023-11-14 11:17:06	ga_ls8c_ard_3-2-1_109082_2023-11-14_final
2023-11-17 10:04:21	ga_ls8c_ard_3-2-1_098070_2023-11-17_final
2023-11-17 11:47:14	ga_ls8c_ard_3-2-1_114080_2023-11-17_final
2023-11-20 10:39:16	ga_ls8c_ard_3-2-1_103080_2023-11-20_final
2023-11-21 09:44:27	ga_ls8c_ard_3-2-1_094082_2023-11-21_final
2023-11-21 11:22:32	ga_ls8c_ard_3-2-1_110080_2023-11-21_final
2023-11-27 10:43:52	ga_ls8c_ard_3-2-1_104076_2023-11-27_final
2023-11-27 10:45:28	ga_ls8c_ard_3-2-1_104080_2023-11-27_final
2023-11-30 11:17:08	ga_ls8c_ard_3-2-1_109082_2023-11-30_final
2023-12-01 10:17:54	ga_ls8c_ard_3-2-1_100073_2023-12-01_final
2023-12-01 10:20:18	ga_ls8c_ard_3-2-1_100079_2023-12-01_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-06 10:35:33	ga_ls8c_ard_3-2-1_103071_2023-12-06_final
2023-12-07 09:44:18	ga_ls8c_ard_3-2-1_094082_2023-12-07_final
2023-12-11 09:22:26	ga_ls8c_ard_3-2-1_090089_2023-12-10_final
2023-12-13 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-12-13_final
2023-12-15 10:29:51	ga_ls8c_ard_3-2-1_102072_2023-12-15_final
2023-12-16 11:15:31	ga_ls8c_ard_3-2-1_109078_2023-12-16_final
2023-12-16 11:17:55	ga_ls8c_ard_3-2-1_109084_2023-12-16_final
2023-12-17 10:17:54	ga_ls8c_ard_3-2-1_100073_2023-12-17_final
2023-12-17 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-12-17_final
2023-12-17 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-12-17_final
2023-12-18 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-12-17_final
2023-12-21 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-12-21_final
2023-12-22 10:35:16	ga_ls8c_ard_3-2-1_103070_2023-12-22_final
2023-12-23 11:21:19	ga_ls8c_ard_3-2-1_110077_2023-12-23_final
2023-12-24 10:23:18	ga_ls8c_ard_3-2-1_101071_2023-12-24_final
2023-12-25 11:06:09	ga_ls8c_ard_3-2-1_108070_2023-12-25_final
2023-12-26 10:14:55	ga_ls8c_ard_3-2-1_099081_2023-12-26_final
2023-12-27 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-12-26_final
2023-12-27 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-12-27_final
2023-12-29 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-29_final
2024-01-01 11:12:15	ga_ls8c_ard_3-2-1_109070_2024-01-01_final
2024-01-02 11:57:30	ga_ls8c_ard_3-2-1_116075_2024-01-02_final
2024-01-03 09:26:34	ga_ls8c_ard_3-2-1_091084_2024-01-02_final
2024-01-05 10:48:16	ga_ls8c_ard_3-2-1_105072_2024-01-05_final
2024-01-06 09:57:27	ga_ls8c_ard_3-2-1_096084_2024-01-06_final
2024-01-06 11:31:57	ga_ls8c_ard_3-2-1_112073_2024-01-06_final
2024-01-06 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-06_final
2024-01-08 11:19:36	ga_ls8c_ard_3-2-1_110073_2024-01-08_final
2024-01-09 10:24:47	ga_ls8c_ard_3-2-1_101075_2024-01-09_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-01-13 10:03:41	ga_ls8c_ard_3-2-1_097084_2024-01-13_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-01-15 11:25:01	ga_ls8c_ard_3-2-1_111071_2024-01-15_final
2024-01-19 09:24:35	ga_ls8c_ard_3-2-1_091079_2024-01-18_final
2024-01-29 10:01:35	ga_ls8c_ard_3-2-1_097079_2024-01-29_final
2024-01-29 10:03:35	ga_ls8c_ard_3-2-1_097084_2024-01-29_final
2024-01-30 10:42:52	ga_ls8c_ard_3-2-1_104074_2024-01-30_final
2024-01-31 11:30:08	ga_ls8c_ard_3-2-1_111084_2024-01-31_final
2024-02-01 10:30:08	ga_ls8c_ard_3-2-1_102073_2024-02-01_final
2024-02-02 09:34:55	ga_ls8c_ard_3-2-1_093074_2024-02-02_final
2024-02-02 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-02_final
2024-02-07 11:35:34	ga_ls8c_ard_3-2-1_112082_2024-02-07_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-11 09:32:21	ga_ls8c_ard_3-2-1_092083_2024-02-11_final
2024-02-11 11:10:50	ga_ls8c_ard_3-2-1_108082_2024-02-11_final
2024-02-12 11:51:42	ga_ls8c_ard_3-2-1_115076_2024-02-12_final
2024-02-16 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-02-16_final
2024-02-18 09:35:42	ga_ls8c_ard_3-2-1_093076_2024-02-18_final
2024-02-20 09:27:44	ga_ls8c_ard_3-2-1_091087_2024-02-19_final
2024-02-22 10:48:16	ga_ls8c_ard_3-2-1_105072_2024-02-22_final
2024-02-25 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-02-25_final
2024-02-27 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-02-27_final
2024-03-01 10:01:08	ga_ls8c_ard_3-2-1_097078_2024-03-01_final
2024-03-03 11:26:25	ga_ls8c_ard_3-2-1_111075_2024-03-03_final
2024-03-07 09:25:56	ga_ls8c_ard_3-2-1_091083_2024-03-06_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_final
2024-03-12 11:20:33	ga_ls8c_ard_3-2-1_110076_2024-03-12_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-27 10:35:03	ga_ls8c_ard_3-2-1_103071_2024-03-27_final
2024-03-28 11:19:54	ga_ls8c_ard_3-2-1_110075_2024-03-28_final
2024-03-30 09:29:04	ga_ls8c_ard_3-2-1_092076_2024-03-29_final
2024-04-01 10:54:48	ga_ls8c_ard_3-2-1_106074_2024-04-01_final
2024-04-02 10:01:34	ga_ls8c_ard_3-2-1_097080_2024-04-02_final
2024-04-03 10:40:02	ga_ls8c_ard_3-2-1_104068_2024-04-03_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-05 10:28:53	ga_ls8c_ard_3-2-1_102071_2024-04-05_final
2024-04-07 10:20:54	ga_ls8c_ard_3-2-1_100082_2024-04-07_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