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
2017-12-16 08:42:35	ga_ls8c_ard_3-2-1_084082_2017-12-15_final
2021-05-17 08:42:01	ga_ls8c_ard_3-2-1_084082_2021-05-16_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-06-08 08:41:49	ga_ls8c_ard_3-2-1_084082_2023-06-07_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-11-12 08:10:52	ga_ls8c_ard_3-2-1_079080_2023-11-11_final
2023-11-18 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-17_final
2023-11-19 11:32:30	ga_ls8c_ard_3-2-1_112074_2023-11-19_final
2023-11-19 11:32:54	ga_ls8c_ard_3-2-1_112075_2023-11-19_final
2023-11-19 11:34:05	ga_ls8c_ard_3-2-1_112078_2023-11-19_final
2023-11-20 10:40:04	ga_ls8c_ard_3-2-1_103082_2023-11-20_final
2023-11-22 10:28:07	ga_ls8c_ard_3-2-1_101083_2023-11-22_final
2023-11-26 11:39:53	ga_ls8c_ard_3-2-1_113077_2023-11-26_final
2023-11-28 09:48:38	ga_ls8c_ard_3-2-1_095077_2023-11-28_final
2023-11-28 11:28:19	ga_ls8c_ard_3-2-1_111079_2023-11-28_final
2023-12-02 09:24:16	ga_ls8c_ard_3-2-1_091078_2023-12-01_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-03 11:47:11	ga_ls8c_ard_3-2-1_114080_2023-12-03_final
2023-12-04 10:46:21	ga_ls8c_ard_3-2-1_105067_2023-12-04_final
2023-12-05 09:55:54	ga_ls8c_ard_3-2-1_096080_2023-12-05_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2023-12-07 11:21:35	ga_ls8c_ard_3-2-1_110078_2023-12-07_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-10 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-12-10_final
2023-12-11 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-12-11_final
2023-12-12 11:39:24	ga_ls8c_ard_3-2-1_113076_2023-12-12_final
2023-12-13 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-12_final
2023-12-13 10:40:36	ga_ls8c_ard_3-2-1_104068_2023-12-13_final
2023-12-13 10:45:47	ga_ls8c_ard_3-2-1_104081_2023-12-13_final
2023-12-14 11:25:28	ga_ls8c_ard_3-2-1_111072_2023-12-14_final
2023-12-14 11:25:52	ga_ls8c_ard_3-2-1_111073_2023-12-14_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-20 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-12-19_final
2023-12-29 10:43:00	ga_ls8c_ard_3-2-1_104074_2023-12-29_final
2023-12-30 11:27:02	ga_ls8c_ard_3-2-1_111076_2023-12-30_final
2023-12-31 10:31:48	ga_ls8c_ard_3-2-1_102077_2023-12-31_final
2024-01-01 09:36:58	ga_ls8c_ard_3-2-1_093079_2024-01-01_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-03 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-01-02_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-03 09:27:22	ga_ls8c_ard_3-2-1_091086_2024-01-02_final
2024-01-04 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-01-04_final
2024-01-04 11:44:42	ga_ls8c_ard_3-2-1_114074_2024-01-04_final
2024-01-04 11:46:42	ga_ls8c_ard_3-2-1_114079_2024-01-04_final
2024-01-08 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-01-08_final
2024-01-11 10:11:39	ga_ls8c_ard_3-2-1_099073_2024-01-11_final
2024-01-11 11:52:07	ga_ls8c_ard_3-2-1_115077_2024-01-11_final
2024-01-15 11:29:00	ga_ls8c_ard_3-2-1_111081_2024-01-15_final
2024-01-16 10:29:23	ga_ls8c_ard_3-2-1_102071_2024-01-16_final
2024-01-17 09:36:57	ga_ls8c_ard_3-2-1_093079_2024-01-17_final
2024-01-17 11:15:02	ga_ls8c_ard_3-2-1_109077_2024-01-17_final
2024-01-20 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-01-20_final
2024-01-24 09:42:16	ga_ls8c_ard_3-2-1_094077_2024-01-24_final
2024-01-24 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-01-24_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_final
2024-01-26 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-01-25_final
2024-01-26 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-01-26_final
2024-01-28 09:18:42	ga_ls8c_ard_3-2-1_090080_2024-01-27_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-02-04 09:23:46	ga_ls8c_ard_3-2-1_091077_2024-02-03_final
2024-02-04 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-02-03_final
2024-02-06 09:12:37	ga_ls8c_ard_3-2-1_089080_2024-02-05_final
2024-02-11 11:08:50	ga_ls8c_ard_3-2-1_108077_2024-02-11_final
2024-02-13 09:19:11	ga_ls8c_ard_3-2-1_090081_2024-02-12_final
2024-02-14 09:56:51	ga_ls8c_ard_3-2-1_097067_2024-02-14_final
2024-02-15 10:42:29	ga_ls8c_ard_3-2-1_104073_2024-02-15_final
2024-02-16 11:28:33	ga_ls8c_ard_3-2-1_111080_2024-02-16_final
2024-02-17 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-17_final
2024-02-19 11:58:39	ga_ls8c_ard_3-2-1_116078_2024-02-19_final
2024-02-22 09:12:34	ga_ls8c_ard_3-2-1_089080_2024-02-21_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-28 10:12:43	ga_ls8c_ard_3-2-1_099076_2024-02-28_final
2024-02-28 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-02-28_final
2024-02-29 10:52:47	ga_ls8c_ard_3-2-1_106068_2024-02-29_final
2024-03-02 10:43:59	ga_ls8c_ard_3-2-1_104077_2024-03-02_final
2024-03-06 10:18:47	ga_ls8c_ard_3-2-1_100076_2024-03-06_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-16 09:21:18	ga_ls8c_ard_3-2-1_090087_2024-03-15_final
2024-03-17 10:03:45	ga_ls8c_ard_3-2-1_097085_2024-03-17_final
2024-03-19 11:26:40	ga_ls8c_ard_3-2-1_111076_2024-03-19_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-21 09:36:35	ga_ls8c_ard_3-2-1_093079_2024-03-21_final
2024-03-24 10:03:26	ga_ls8c_ard_3-2-1_098069_2024-03-24_final
2024-03-25 09:12:59	ga_ls8c_ard_3-2-1_089082_2024-03-24_final
2024-03-25 09:16:10	ga_ls8c_ard_3-2-1_089090_2024-03-24_final
2024-03-25 10:46:16	ga_ls8c_ard_3-2-1_105068_2024-03-25_final
2024-03-26 09:53:01	ga_ls8c_ard_3-2-1_096074_2024-03-26_final
2024-03-28 11:18:18	ga_ls8c_ard_3-2-1_110071_2024-03-28_final
2024-03-28 11:18:42	ga_ls8c_ard_3-2-1_110072_2024-03-28_final
2024-03-29 10:25:05	ga_ls8c_ard_3-2-1_101077_2024-03-29_final
2024-03-30 09:34:15	ga_ls8c_ard_3-2-1_092089_2024-03-30_final
2024-03-30 11:05:33	ga_ls8c_ard_3-2-1_108070_2024-03-30_final
2024-03-31 10:10:20	ga_ls8c_ard_3-2-1_099071_2024-03-31_final
2024-04-01 09:18:42	ga_ls8c_ard_3-2-1_090081_2024-03-31_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-05 10:32:04	ga_ls8c_ard_3-2-1_102079_2024-04-05_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years