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
2016-11-24 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-23_final
2019-10-13 12:31:40	ga_ls8c_ard_3-2-1_122067_2019-10-13_final
2019-12-15 10:09:02	ga_ls8c_ard_3-2-1_099066_2019-12-15_final
2020-03-04 10:08:40	ga_ls8c_ard_3-2-1_099066_2020-03-04_final
2020-04-05 10:08:24	ga_ls8c_ard_3-2-1_099066_2020-04-05_final
2020-05-11 08:10:07	ga_ls8c_ard_3-2-1_079080_2020-05-10_final
2020-10-30 10:09:03	ga_ls8c_ard_3-2-1_099066_2020-10-30_final
2020-12-01 10:09:05	ga_ls8c_ard_3-2-1_099066_2020-12-01_final
2021-12-04 10:09:06	ga_ls8c_ard_3-2-1_099066_2021-12-04_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-12-14 11:27:04	ga_ls8c_ard_3-2-1_111076_2023-12-14_final
2023-12-17 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-17_final
2023-12-19 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-12-19_final
2023-12-24 10:24:54	ga_ls8c_ard_3-2-1_101075_2023-12-24_final
2023-12-26 10:12:07	ga_ls8c_ard_3-2-1_099074_2023-12-26_final
2023-12-28 10:01:20	ga_ls8c_ard_3-2-1_097078_2023-12-28_final
2023-12-28 10:01:44	ga_ls8c_ard_3-2-1_097079_2023-12-28_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-30 09:48:33	ga_ls8c_ard_3-2-1_095077_2023-12-30_final
2023-12-30 11:25:27	ga_ls8c_ard_3-2-1_111072_2023-12-30_final
2024-01-02 10:21:48	ga_ls8c_ard_3-2-1_100083_2024-01-02_final
2024-01-03 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-03_final
2024-01-06 11:32:44	ga_ls8c_ard_3-2-1_112075_2024-01-06_final
2024-01-08 11:20:24	ga_ls8c_ard_3-2-1_110075_2024-01-08_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-12 09:21:13	ga_ls8c_ard_3-2-1_090086_2024-01-11_final
2024-01-25 10:23:07	ga_ls8c_ard_3-2-1_101071_2024-01-25_final
2024-01-26 11:06:45	ga_ls8c_ard_3-2-1_108072_2024-01-26_final
2024-01-27 10:11:07	ga_ls8c_ard_3-2-1_099072_2024-01-27_final
2024-01-27 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-01-27_final
2024-01-29 11:38:52	ga_ls8c_ard_3-2-1_113075_2024-01-29_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-02-02 09:36:31	ga_ls8c_ard_3-2-1_093078_2024-02-02_final
2024-02-02 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-02_final
2024-02-03 10:21:23	ga_ls8c_ard_3-2-1_100082_2024-02-03_final
2024-02-04 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-02-03_final
2024-02-07 09:54:17	ga_ls8c_ard_3-2-1_096076_2024-02-07_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-07 11:32:22	ga_ls8c_ard_3-2-1_112074_2024-02-07_final
2024-02-08 10:34:45	ga_ls8c_ard_3-2-1_103069_2024-02-08_final
2024-02-09 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-02-09_final
2024-02-11 09:32:21	ga_ls8c_ard_3-2-1_092083_2024-02-11_final
2024-02-11 09:33:09	ga_ls8c_ard_3-2-1_092085_2024-02-11_final
2024-02-11 11:09:38	ga_ls8c_ard_3-2-1_108079_2024-02-11_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_2024-02-12_final
2024-02-13 09:17:35	ga_ls8c_ard_3-2-1_090077_2024-02-12_final
2024-02-13 09:19:11	ga_ls8c_ard_3-2-1_090081_2024-02-12_final
2024-02-13 09:19:35	ga_ls8c_ard_3-2-1_090082_2024-02-12_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-15 10:44:53	ga_ls8c_ard_3-2-1_104079_2024-02-15_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_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
2024-02-19 10:20:58	ga_ls8c_ard_3-2-1_100081_2024-02-19_final
2024-02-24 10:38:41	ga_ls8c_ard_3-2-1_103079_2024-02-24_final
2024-02-25 09:42:15	ga_ls8c_ard_3-2-1_094077_2024-02-25_final
2024-02-25 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-02-25_final
2024-02-25 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-02-25_final
2024-02-26 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-02-26_final
2024-02-27 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-02-27_final
2024-02-27 09:33:04	ga_ls8c_ard_3-2-1_092085_2024-02-27_final
2024-02-27 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-02-27_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-02-29 09:17:29	ga_ls8c_ard_3-2-1_090077_2024-02-28_final
2024-02-29 09:18:41	ga_ls8c_ard_3-2-1_090080_2024-02-28_final
2024-02-29 10:52:47	ga_ls8c_ard_3-2-1_106068_2024-02-29_final
2024-02-29 10:53:11	ga_ls8c_ard_3-2-1_106069_2024-02-29_final
2024-03-01 10:01:08	ga_ls8c_ard_3-2-1_097078_2024-03-01_final
2024-03-01 11:40:49	ga_ls8c_ard_3-2-1_113080_2024-03-01_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-04 10:29:35	ga_ls8c_ard_3-2-1_102072_2024-03-04_final
2024-03-04 10:31:11	ga_ls8c_ard_3-2-1_102076_2024-03-04_final
2024-03-04 10:32:23	ga_ls8c_ard_3-2-1_102079_2024-03-04_final
2024-03-04 10:33:11	ga_ls8c_ard_3-2-1_102081_2024-03-04_final
2024-03-05 09:37:56	ga_ls8c_ard_3-2-1_093082_2024-03-05_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_final
2024-03-06 10:17:35	ga_ls8c_ard_3-2-1_100073_2024-03-06_final
2024-03-08 10:09:36	ga_ls8c_ard_3-2-1_098084_2024-03-08_final
2024-03-08 11:44:29	ga_ls8c_ard_3-2-1_114074_2024-03-08_final
2024-03-09 09:13:58	ga_ls8c_ard_3-2-1_089084_2024-03-08_final
2024-03-09 10:50:51	ga_ls8c_ard_3-2-1_105079_2024-03-09_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-14 09:29:18	ga_ls8c_ard_3-2-1_092076_2024-03-13_final
2024-03-15 10:11:45	ga_ls8c_ard_3-2-1_099074_2024-03-15_final
2024-03-17 11:39:03	ga_ls8c_ard_3-2-1_113076_2024-03-17_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-21 11:15:04	ga_ls8c_ard_3-2-1_109078_2024-03-21_final
2024-03-21 11:16:16	ga_ls8c_ard_3-2-1_109081_2024-03-21_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_final
2024-03-29 10:24:17	ga_ls8c_ard_3-2-1_101075_2024-03-29_final
2024-03-29 10:25:52	ga_ls8c_ard_3-2-1_101079_2024-03-29_final
2024-03-29 10:26:40	ga_ls8c_ard_3-2-1_101081_2024-03-29_final
2024-03-30 09:29:28	ga_ls8c_ard_3-2-1_092077_2024-03-29_final
2024-04-01 10:54:24	ga_ls8c_ard_3-2-1_106073_2024-04-01_final
2024-04-01 10:54:48	ga_ls8c_ard_3-2-1_106074_2024-04-01_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-06 09:39:14	ga_ls8c_ard_3-2-1_093086_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