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
2017-12-09 10:08:52	ga_ls8c_ard_3-2-1_099066_2017-12-09_final
2020-02-01 10:08:49	ga_ls8c_ard_3-2-1_099066_2020-02-01_final
2020-10-30 10:09:03	ga_ls8c_ard_3-2-1_099066_2020-10-30_final
2023-02-17 12:37:41	ga_ls8c_ard_3-2-1_123067_2023-02-17_final
2023-07-19 10:08:26	ga_ls8c_ard_3-2-1_099066_2023-07-19_final
2023-10-23 10:08:54	ga_ls8c_ard_3-2-1_099066_2023-10-23_final
2023-11-16 12:37:40	ga_ls8c_ard_3-2-1_123067_2023-11-16_final
2024-01-06 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-06_final
2024-01-07 10:37:08	ga_ls8c_ard_3-2-1_103075_2024-01-07_final
2024-01-08 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-01-08_final
2024-01-08 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-01-08_final
2024-01-09 10:23:12	ga_ls8c_ard_3-2-1_101071_2024-01-09_final
2024-01-10 11:09:39	ga_ls8c_ard_3-2-1_108079_2024-01-10_final
2024-01-12 09:20:25	ga_ls8c_ard_3-2-1_090084_2024-01-11_final
2024-01-13 10:00:05	ga_ls8c_ard_3-2-1_097075_2024-01-13_final
2024-01-13 11:42:34	ga_ls8c_ard_3-2-1_113084_2024-01-13_final
2024-01-14 10:44:57	ga_ls8c_ard_3-2-1_104079_2024-01-14_final
2024-01-15 09:48:08	ga_ls8c_ard_3-2-1_095076_2024-01-15_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_final
2024-01-17 11:15:26	ga_ls8c_ard_3-2-1_109078_2024-01-17_final
2024-01-17 11:17:02	ga_ls8c_ard_3-2-1_109082_2024-01-17_final
2024-01-18 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-18_final
2024-01-24 09:41:52	ga_ls8c_ard_3-2-1_094076_2024-01-24_final
2024-01-24 09:43:03	ga_ls8c_ard_3-2-1_094079_2024-01-24_final
2024-01-25 10:23:07	ga_ls8c_ard_3-2-1_101071_2024-01-25_final
2024-01-25 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-01-25_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-01-31 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-01-31_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-04 09:26:57	ga_ls8c_ard_3-2-1_091085_2024-02-03_final
2024-02-04 11:01:51	ga_ls8c_ard_3-2-1_107075_2024-02-04_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_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
2024-02-07 11:33:58	ga_ls8c_ard_3-2-1_112078_2024-02-07_final
2024-02-07 11:35:10	ga_ls8c_ard_3-2-1_112081_2024-02-07_final
2024-02-08 10:38:21	ga_ls8c_ard_3-2-1_103078_2024-02-08_final
2024-02-08 10:39:56	ga_ls8c_ard_3-2-1_103082_2024-02-08_final
2024-02-09 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-02-09_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-12 10:14:25	ga_ls8c_ard_3-2-1_099080_2024-02-12_final
2024-02-14 10:00:02	ga_ls8c_ard_3-2-1_097075_2024-02-14_final
2024-02-15 10:44:53	ga_ls8c_ard_3-2-1_104079_2024-02-15_final
2024-02-16 11:28:33	ga_ls8c_ard_3-2-1_111080_2024-02-16_final
2024-02-18 09:34:54	ga_ls8c_ard_3-2-1_093074_2024-02-18_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-19 10:20:58	ga_ls8c_ard_3-2-1_100081_2024-02-19_final
2024-02-20 09:26:56	ga_ls8c_ard_3-2-1_091085_2024-02-19_final
2024-02-21 11:47:05	ga_ls8c_ard_3-2-1_114080_2024-02-21_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-22 10:51:51	ga_ls8c_ard_3-2-1_105081_2024-02-22_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-23 11:32:43	ga_ls8c_ard_3-2-1_112075_2024-02-23_final
2024-02-25 09:42:15	ga_ls8c_ard_3-2-1_094077_2024-02-25_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-02-26 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-02-26_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-02-29 09:20:17	ga_ls8c_ard_3-2-1_090084_2024-02-28_final
2024-03-01 10:01:56	ga_ls8c_ard_3-2-1_097080_2024-03-01_final
2024-03-01 10:02:44	ga_ls8c_ard_3-2-1_097082_2024-03-01_final
2024-03-03 09:49:08	ga_ls8c_ard_3-2-1_095079_2024-03-03_final
2024-03-03 11:29:13	ga_ls8c_ard_3-2-1_111082_2024-03-03_final
2024-03-04 10:28:23	ga_ls8c_ard_3-2-1_102069_2024-03-04_final
2024-03-04 10:29:11	ga_ls8c_ard_3-2-1_102071_2024-03-04_final
2024-03-05 11:15:37	ga_ls8c_ard_3-2-1_109079_2024-03-05_final
2024-03-08 11:47:17	ga_ls8c_ard_3-2-1_114081_2024-03-08_final
2024-03-10 09:54:02	ga_ls8c_ard_3-2-1_096076_2024-03-10_final
2024-03-10 11:33:19	ga_ls8c_ard_3-2-1_112077_2024-03-10_final
2024-03-10 11:36:07	ga_ls8c_ard_3-2-1_112084_2024-03-10_final
2024-03-12 09:40:52	ga_ls8c_ard_3-2-1_094074_2024-03-12_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-12 09:42:04	ga_ls8c_ard_3-2-1_094077_2024-03-12_final
2024-03-13 10:26:31	ga_ls8c_ard_3-2-1_101080_2024-03-13_final
2024-03-14 09:32:29	ga_ls8c_ard_3-2-1_092084_2024-03-14_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-14 11:06:35	ga_ls8c_ard_3-2-1_108072_2024-03-14_final
2024-03-15 10:10:57	ga_ls8c_ard_3-2-1_099072_2024-03-15_final
2024-03-16 10:54:12	ga_ls8c_ard_3-2-1_106072_2024-03-16_final
2024-03-19 11:29:51	ga_ls8c_ard_3-2-1_111084_2024-03-19_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-22 10:20:14	ga_ls8c_ard_3-2-1_100080_2024-03-22_final
2024-03-22 11:58:19	ga_ls8c_ard_3-2-1_116078_2024-03-22_final
2024-03-23 09:27:47	ga_ls8c_ard_3-2-1_091088_2024-03-22_final
2024-03-26 11:32:18	ga_ls8c_ard_3-2-1_112075_2024-03-26_final
2024-03-26 11:33:06	ga_ls8c_ard_3-2-1_112077_2024-03-26_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_final
2024-03-28 11:19:06	ga_ls8c_ard_3-2-1_110073_2024-03-28_final
2024-04-01 09:20:42	ga_ls8c_ard_3-2-1_090086_2024-03-31_final
2024-04-01 10:56:47	ga_ls8c_ard_3-2-1_106079_2024-04-01_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-03 10:43:38	ga_ls8c_ard_3-2-1_104077_2024-04-03_final
2024-04-04 11:26:30	ga_ls8c_ard_3-2-1_111076_2024-04-04_final
2024-04-05 10:29:40	ga_ls8c_ard_3-2-1_102073_2024-04-05_final
2024-04-05 10:30:04	ga_ls8c_ard_3-2-1_102074_2024-04-05_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