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
2018-09-30 08:42:08	ga_ls8c_ard_3-2-1_084082_2018-09-29_final
2021-03-11 08:10:36	ga_ls8c_ard_3-2-1_079080_2021-03-10_final
2022-12-27 08:11:07	ga_ls8c_ard_3-2-1_079080_2022-12-26_final
2023-06-08 08:41:49	ga_ls8c_ard_3-2-1_084082_2023-06-07_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-10-14 11:57:33	ga_ls8c_ard_3-2-1_116075_2023-10-14_final
2023-11-02 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-02_final
2023-11-03 09:55:35	ga_ls8c_ard_3-2-1_096079_2023-11-03_final
2023-11-03 11:33:40	ga_ls8c_ard_3-2-1_112077_2023-11-03_final
2023-11-03 11:34:28	ga_ls8c_ard_3-2-1_112079_2023-11-03_final
2023-11-04 10:36:27	ga_ls8c_ard_3-2-1_103073_2023-11-04_final
2023-11-07 09:30:50	ga_ls8c_ard_3-2-1_092079_2023-11-07_final
2023-11-12 09:48:57	ga_ls8c_ard_3-2-1_095078_2023-11-12_final
2023-11-12 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-11-12_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_final
2023-11-16 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-11-16_final
2023-11-21 09:42:28	ga_ls8c_ard_3-2-1_094077_2023-11-21_final
2023-11-23 09:35:18	ga_ls8c_ard_3-2-1_092090_2023-11-23_final
2023-11-23 11:10:59	ga_ls8c_ard_3-2-1_108082_2023-11-23_final
2023-11-24 10:14:58	ga_ls8c_ard_3-2-1_099081_2023-11-24_final
2023-11-24 11:51:03	ga_ls8c_ard_3-2-1_115074_2023-11-24_final
2023-11-26 09:59:01	ga_ls8c_ard_3-2-1_097072_2023-11-26_final
2023-11-30 09:39:03	ga_ls8c_ard_3-2-1_093084_2023-11-30_final
2023-12-03 10:09:06	ga_ls8c_ard_3-2-1_098082_2023-12-03_final
2023-12-03 11:47:11	ga_ls8c_ard_3-2-1_114080_2023-12-03_final
2023-12-07 09:41:54	ga_ls8c_ard_3-2-1_094076_2023-12-07_final
2023-12-12 11:39:00	ga_ls8c_ard_3-2-1_113075_2023-12-12_final
2023-12-14 11:27:28	ga_ls8c_ard_3-2-1_111077_2023-12-14_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-16 11:17:55	ga_ls8c_ard_3-2-1_109084_2023-12-16_final
2023-12-19 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-12-19_final
2023-12-21 11:34:53	ga_ls8c_ard_3-2-1_112080_2023-12-21_final
2023-12-21 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-12-21_final
2023-12-25 09:30:04	ga_ls8c_ard_3-2-1_092077_2023-12-25_final
2023-12-28 09:57:45	ga_ls8c_ard_3-2-1_097069_2023-12-28_final
2023-12-29 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-29_final
2023-12-30 11:25:27	ga_ls8c_ard_3-2-1_111072_2023-12-30_final
2023-12-30 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-12-30_final
2024-01-02 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-02_final
2024-01-03 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-01-03_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-07 10:37:56	ga_ls8c_ard_3-2-1_103077_2024-01-07_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-10 11:09:15	ga_ls8c_ard_3-2-1_108078_2024-01-10_final
2024-01-13 10:04:05	ga_ls8c_ard_3-2-1_097085_2024-01-13_final
2024-01-14 10:41:21	ga_ls8c_ard_3-2-1_104070_2024-01-14_final
2024-01-17 09:37:21	ga_ls8c_ard_3-2-1_093080_2024-01-17_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-24 09:42:40	ga_ls8c_ard_3-2-1_094078_2024-01-24_final
2024-01-26 11:11:08	ga_ls8c_ard_3-2-1_108083_2024-01-26_final
2024-01-28 09:19:30	ga_ls8c_ard_3-2-1_090082_2024-01-27_final
2024-01-29 10:01:11	ga_ls8c_ard_3-2-1_097078_2024-01-29_final
2024-01-29 11:38:52	ga_ls8c_ard_3-2-1_113075_2024-01-29_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-03 10:20:59	ga_ls8c_ard_3-2-1_100081_2024-02-03_final
2024-02-04 09:23:46	ga_ls8c_ard_3-2-1_091077_2024-02-03_final
2024-02-04 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-02-03_final
2024-02-05 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-02-05_final
2024-02-07 09:55:29	ga_ls8c_ard_3-2-1_096079_2024-02-07_final
2024-02-07 11:34:46	ga_ls8c_ard_3-2-1_112080_2024-02-07_final
2024-02-09 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-02-09_final
2024-02-10 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-02-10_final
2024-02-11 11:10:02	ga_ls8c_ard_3-2-1_108080_2024-02-11_final
2024-02-12 10:14:01	ga_ls8c_ard_3-2-1_099079_2024-02-12_final
2024-02-12 10:14:49	ga_ls8c_ard_3-2-1_099081_2024-02-12_final
2024-02-12 10:15:13	ga_ls8c_ard_3-2-1_099082_2024-02-12_final
2024-02-16 11:28:09	ga_ls8c_ard_3-2-1_111079_2024-02-16_final
2024-02-18 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-18_final
2024-02-18 11:15:23	ga_ls8c_ard_3-2-1_109078_2024-02-18_final
2024-02-19 10:20:34	ga_ls8c_ard_3-2-1_100080_2024-02-19_final
2024-02-20 11:03:49	ga_ls8c_ard_3-2-1_107080_2024-02-20_final
2024-02-21 11:47:05	ga_ls8c_ard_3-2-1_114080_2024-02-21_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-23 11:34:43	ga_ls8c_ard_3-2-1_112080_2024-02-23_final
2024-02-25 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-02-25_final
2024-02-27 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-02-27_final
2024-02-27 11:09:09	ga_ls8c_ard_3-2-1_108078_2024-02-27_final
2024-03-03 09:49:32	ga_ls8c_ard_3-2-1_095080_2024-03-03_final
2024-03-04 10:30:47	ga_ls8c_ard_3-2-1_102075_2024-03-04_final
2024-03-05 09:37:08	ga_ls8c_ard_3-2-1_093080_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-10 09:55:38	ga_ls8c_ard_3-2-1_096080_2024-03-10_final
2024-03-10 11:34:07	ga_ls8c_ard_3-2-1_112079_2024-03-10_final
2024-03-10 11:34:31	ga_ls8c_ard_3-2-1_112080_2024-03-10_final
2024-03-12 09:42:04	ga_ls8c_ard_3-2-1_094077_2024-03-12_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-21 09:39:23	ga_ls8c_ard_3-2-1_093086_2024-03-21_final
2024-03-21 11:17:28	ga_ls8c_ard_3-2-1_109084_2024-03-21_final
2024-03-28 11:20:41	ga_ls8c_ard_3-2-1_110077_2024-03-28_final
2024-03-30 09:31:03	ga_ls8c_ard_3-2-1_092081_2024-03-30_final
2024-03-30 11:09:32	ga_ls8c_ard_3-2-1_108080_2024-03-30_final
2024-03-30 11:09:56	ga_ls8c_ard_3-2-1_108081_2024-03-30_final
2024-03-31 10:10:44	ga_ls8c_ard_3-2-1_099072_2024-03-31_final
2024-04-04 11:26:54	ga_ls8c_ard_3-2-1_111077_2024-04-04_final
2024-04-06 09:36:51	ga_ls8c_ard_3-2-1_093080_2024-04-06_final
2024-04-07 10:19:42	ga_ls8c_ard_3-2-1_100079_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