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
2019-11-17 08:11:03	ga_ls8c_ard_3-2-1_079080_2019-11-16_final
2020-05-11 08:10:07	ga_ls8c_ard_3-2-1_079080_2020-05-10_final
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2022-11-07 11:43:04	ga_ls8c_ard_3-2-1_113084_2022-11-07_final
2023-12-09 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-12-09_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-14 09:48:11	ga_ls8c_ard_3-2-1_095076_2023-12-14_final
2023-12-14 11:27:04	ga_ls8c_ard_3-2-1_111076_2023-12-14_final
2023-12-15 10:32:39	ga_ls8c_ard_3-2-1_102079_2023-12-15_final
2023-12-17 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-12-17_final
2023-12-18 09:24:17	ga_ls8c_ard_3-2-1_091078_2023-12-17_final
2023-12-20 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-12-20_final
2023-12-21 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-12-21_final
2023-12-21 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-12-21_final
2023-12-21 11:35:17	ga_ls8c_ard_3-2-1_112081_2023-12-21_final
2023-12-23 09:42:02	ga_ls8c_ard_3-2-1_094076_2023-12-23_final
2023-12-23 09:43:14	ga_ls8c_ard_3-2-1_094079_2023-12-23_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2023-12-25 09:31:40	ga_ls8c_ard_3-2-1_092081_2023-12-25_final
2023-12-25 09:35:15	ga_ls8c_ard_3-2-1_092090_2023-12-25_final
2023-12-28 10:00:56	ga_ls8c_ard_3-2-1_097077_2023-12-28_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2023-12-29 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-29_final
2023-12-30 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-12-30_final
2023-12-30 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-12-30_final
2024-01-01 11:16:39	ga_ls8c_ard_3-2-1_109081_2024-01-01_final
2024-01-02 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-02_final
2024-01-03 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-01-02_final
2024-01-06 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-06_final
2024-01-07 10:38:44	ga_ls8c_ard_3-2-1_103079_2024-01-07_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-13 11:40:34	ga_ls8c_ard_3-2-1_113079_2024-01-13_final
2024-01-14 10:41:21	ga_ls8c_ard_3-2-1_104070_2024-01-14_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-15 09:51:43	ga_ls8c_ard_3-2-1_095085_2024-01-15_final
2024-01-17 11:16:38	ga_ls8c_ard_3-2-1_109081_2024-01-17_final
2024-01-18 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-18_final
2024-01-18 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-18_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-22 09:53:51	ga_ls8c_ard_3-2-1_096075_2024-01-22_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_final
2024-01-22 11:34:44	ga_ls8c_ard_3-2-1_112080_2024-01-22_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-01-25 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-01-25_final
2024-01-26 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-01-26_final
2024-01-26 11:09:09	ga_ls8c_ard_3-2-1_108078_2024-01-26_final
2024-01-29 09:58:47	ga_ls8c_ard_3-2-1_097072_2024-01-29_final
2024-01-29 10:01:59	ga_ls8c_ard_3-2-1_097080_2024-01-29_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-01-29 11:40:28	ga_ls8c_ard_3-2-1_113079_2024-01-29_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-02 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-02_final
2024-02-04 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-02-03_final
2024-02-04 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-02-04_final
2024-02-07 09:55:53	ga_ls8c_ard_3-2-1_096080_2024-02-07_final
2024-02-09 09:45:55	ga_ls8c_ard_3-2-1_094086_2024-02-09_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-14 11:40:31	ga_ls8c_ard_3-2-1_113079_2024-02-14_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-17 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-17_final
2024-02-17 10:32:55	ga_ls8c_ard_3-2-1_102080_2024-02-17_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-22 10:51:27	ga_ls8c_ard_3-2-1_105080_2024-02-22_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-26 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-02-26_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_final
2024-02-27 11:10:21	ga_ls8c_ard_3-2-1_108081_2024-02-27_final
2024-02-29 09:19:53	ga_ls8c_ard_3-2-1_090083_2024-02-28_final
2024-03-01 11:39:13	ga_ls8c_ard_3-2-1_113076_2024-03-01_final
2024-03-03 09:47:56	ga_ls8c_ard_3-2-1_095076_2024-03-03_final
2024-03-03 11:27:13	ga_ls8c_ard_3-2-1_111077_2024-03-03_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-11 10:36:54	ga_ls8c_ard_3-2-1_103075_2024-03-11_final
2024-03-11 10:38:29	ga_ls8c_ard_3-2-1_103079_2024-03-11_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-19 09:49:47	ga_ls8c_ard_3-2-1_095081_2024-03-19_final
2024-03-21 11:16:16	ga_ls8c_ard_3-2-1_109081_2024-03-21_final
2024-03-22 11:57:55	ga_ls8c_ard_3-2-1_116077_2024-03-22_final
2024-03-24 10:08:13	ga_ls8c_ard_3-2-1_098081_2024-03-24_final
2024-03-25 10:51:04	ga_ls8c_ard_3-2-1_105080_2024-03-25_final
2024-03-27 10:38:38	ga_ls8c_ard_3-2-1_103080_2024-03-27_final
2024-03-30 09:30:15	ga_ls8c_ard_3-2-1_092079_2024-03-30_final
2024-03-30 09:31:51	ga_ls8c_ard_3-2-1_092083_2024-03-30_final
2024-03-30 11:10:20	ga_ls8c_ard_3-2-1_108082_2024-03-30_final
2024-03-31 11:50:25	ga_ls8c_ard_3-2-1_115074_2024-03-31_final
2024-04-01 10:56:47	ga_ls8c_ard_3-2-1_106079_2024-04-01_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_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