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
2016-11-12 12:37:47	ga_ls8c_ard_3-2-1_123067_2016-11-12_final
2018-01-01 08:42:34	ga_ls8c_ard_3-2-1_084082_2017-12-31_final
2021-08-02 08:10:47	ga_ls8c_ard_3-2-1_079080_2021-08-01_final
2022-10-27 11:58:01	ga_ls8c_ard_3-2-1_116075_2022-10-27_final
2023-03-19 09:36:21	ga_ls8c_ard_3-2-1_093078_2023-03-19_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-07-15 10:37:09	ga_ls8c_ard_3-2-1_103076_2023-07-15_final
2023-07-18 09:32:21	ga_ls8c_ard_3-2-1_092084_2023-07-18_final
2023-07-22 10:41:21	ga_ls8c_ard_3-2-1_104071_2023-07-22_final
2023-07-23 09:46:56	ga_ls8c_ard_3-2-1_095074_2023-07-23_final
2023-07-23 11:29:01	ga_ls8c_ard_3-2-1_111082_2023-07-23_final
2023-07-26 10:21:52	ga_ls8c_ard_3-2-1_100084_2023-07-26_final
2023-07-28 10:05:09	ga_ls8c_ard_3-2-1_098073_2023-07-28_final
2023-07-28 11:46:26	ga_ls8c_ard_3-2-1_114079_2023-07-28_final
2023-07-31 10:34:29	ga_ls8c_ard_3-2-1_103069_2023-07-31_final
2023-08-04 10:11:47	ga_ls8c_ard_3-2-1_099074_2023-08-04_final
2023-08-08 09:50:39	ga_ls8c_ard_3-2-1_095083_2023-08-08_final
2023-08-09 10:32:43	ga_ls8c_ard_3-2-1_102080_2023-08-09_final
2023-08-11 10:19:57	ga_ls8c_ard_3-2-1_100079_2023-08-11_final
2023-08-12 11:00:50	ga_ls8c_ard_3-2-1_107073_2023-08-12_final
2023-08-14 10:48:06	ga_ls8c_ard_3-2-1_105072_2023-08-14_final
2023-08-20 10:15:05	ga_ls8c_ard_3-2-1_099082_2023-08-20_final
2023-08-21 09:19:04	ga_ls8c_ard_3-2-1_090081_2023-08-20_final
2023-08-24 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-08-23_final
2023-08-27 10:20:06	ga_ls8c_ard_3-2-1_100079_2023-08-27_final
2023-08-28 11:03:46	ga_ls8c_ard_3-2-1_107080_2023-08-28_final
2023-08-29 10:05:21	ga_ls8c_ard_3-2-1_098073_2023-08-29_final
2023-08-29 11:46:37	ga_ls8c_ard_3-2-1_114079_2023-08-29_final
2023-09-06 09:19:03	ga_ls8c_ard_3-2-1_090081_2023-09-05_final
2023-09-06 09:19:27	ga_ls8c_ard_3-2-1_090082_2023-09-05_final
2023-09-07 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-09-07_final
2023-09-11 09:37:39	ga_ls8c_ard_3-2-1_093081_2023-09-11_final
2023-09-11 11:12:09	ga_ls8c_ard_3-2-1_109070_2023-09-11_final
2023-09-11 11:12:57	ga_ls8c_ard_3-2-1_109072_2023-09-11_final
2023-09-12 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-09-12_final
2023-09-12 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-09-12_final
2023-09-14 10:05:23	ga_ls8c_ard_3-2-1_098073_2023-09-14_final
2023-09-17 10:37:54	ga_ls8c_ard_3-2-1_103077_2023-09-17_final
2023-09-23 10:00:26	ga_ls8c_ard_3-2-1_097076_2023-09-23_final
2023-09-26 10:31:46	ga_ls8c_ard_3-2-1_102077_2023-09-26_final
2023-09-27 11:16:38	ga_ls8c_ard_3-2-1_109081_2023-09-27_final
2023-09-28 10:21:25	ga_ls8c_ard_3-2-1_100082_2023-09-28_final
2023-09-30 10:06:40	ga_ls8c_ard_3-2-1_098076_2023-09-30_final
2023-10-04 09:43:56	ga_ls8c_ard_3-2-1_094081_2023-10-04_final
2023-10-04 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-10-04_final
2023-10-10 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-10-10_final
2023-10-11 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-10-11_final
2023-10-12 10:33:01	ga_ls8c_ard_3-2-1_102080_2023-10-12_final
2023-10-13 09:38:36	ga_ls8c_ard_3-2-1_093083_2023-10-13_final
2023-12-24 10:25:18	ga_ls8c_ard_3-2-1_101076_2023-12-24_final
2023-12-25 09:30:52	ga_ls8c_ard_3-2-1_092079_2023-12-25_final
2023-12-25 11:10:33	ga_ls8c_ard_3-2-1_108081_2023-12-25_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2023-12-29 10:41:24	ga_ls8c_ard_3-2-1_104070_2023-12-29_final
2023-12-30 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-12-30_final
2024-01-01 09:37:22	ga_ls8c_ard_3-2-1_093080_2024-01-01_final
2024-01-02 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-02_final
2024-01-04 10:08:37	ga_ls8c_ard_3-2-1_098081_2024-01-04_final
2024-01-08 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-01-08_final
2024-01-10 11:07:16	ga_ls8c_ard_3-2-1_108073_2024-01-10_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-12 10:58:06	ga_ls8c_ard_3-2-1_106081_2024-01-12_final
2024-01-13 10:00:53	ga_ls8c_ard_3-2-1_097077_2024-01-13_final
2024-01-14 10:43:21	ga_ls8c_ard_3-2-1_104075_2024-01-14_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-15 11:29:00	ga_ls8c_ard_3-2-1_111081_2024-01-15_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_nrt
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_nrt
2024-01-24 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-01-24_final
2024-01-24 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-01-24_nrt
2024-01-30 10:43:16	ga_ls8c_ard_3-2-1_104075_2024-01-30_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_final
2024-02-02 09:35:43	ga_ls8c_ard_3-2-1_093076_2024-02-02_final
2024-02-03 10:20:35	ga_ls8c_ard_3-2-1_100080_2024-02-03_final
2024-02-04 11:03:51	ga_ls8c_ard_3-2-1_107080_2024-02-04_final
2024-02-07 09:56:41	ga_ls8c_ard_3-2-1_096082_2024-02-07_final
2024-02-07 11:32:46	ga_ls8c_ard_3-2-1_112075_2024-02-07_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-10 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-02-10_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-14 11:40:07	ga_ls8c_ard_3-2-1_113078_2024-02-14_final
2024-02-15 10:44:05	ga_ls8c_ard_3-2-1_104077_2024-02-15_final
2024-02-15 10:45:17	ga_ls8c_ard_3-2-1_104080_2024-02-15_final
2024-02-20 11:03:49	ga_ls8c_ard_3-2-1_107080_2024-02-20_final
2024-02-23 09:55:02	ga_ls8c_ard_3-2-1_096078_2024-02-23_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-26 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-02-26_final
2024-02-27 11:10:21	ga_ls8c_ard_3-2-1_108081_2024-02-27_final
2024-02-29 09:19:05	ga_ls8c_ard_3-2-1_090081_2024-02-28_final
2024-02-29 10:57:10	ga_ls8c_ard_3-2-1_106079_2024-02-29_final
2024-03-01 09:58:44	ga_ls8c_ard_3-2-1_097072_2024-03-01_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-01 11:39:37	ga_ls8c_ard_3-2-1_113077_2024-03-01_final
2024-03-01 11:40:01	ga_ls8c_ard_3-2-1_113078_2024-03-01_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years