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
2017-10-22 10:09:02	ga_ls8c_ard_3-2-1_099066_2017-10-22_final
2022-04-16 10:33:06	ga_ls8c_ard_3-2-1_102081_2022-04-16_final
2022-04-27 10:08:54	ga_ls8c_ard_3-2-1_099067_2022-04-27_final
2022-04-28 09:17:15	ga_ls8c_ard_3-2-1_090077_2022-04-27_final
2022-04-30 09:06:30	ga_ls8c_ard_3-2-1_088081_2022-04-29_final
2022-05-03 11:14:20	ga_ls8c_ard_3-2-1_109076_2022-05-03_final
2022-05-13 11:51:07	ga_ls8c_ard_3-2-1_115075_2022-05-13_final
2022-05-23 09:16:27	ga_ls8c_ard_3-2-1_089090_2022-05-22_final
2022-05-31 11:42:01	ga_ls8c_ard_3-2-1_113083_2022-05-31_final
2022-06-01 10:46:00	ga_ls8c_ard_3-2-1_104082_2022-06-01_final
2022-06-06 09:21:45	ga_ls8c_ard_3-2-1_091072_2022-06-05_final
2022-06-07 10:07:25	ga_ls8c_ard_3-2-1_098078_2022-06-07_final
2022-06-08 09:12:12	ga_ls8c_ard_3-2-1_089079_2022-06-07_final
2022-06-20 09:39:50	ga_ls8c_ard_3-2-1_093086_2022-06-20_final
2022-06-22 09:29:05	ga_ls8c_ard_3-2-1_091090_2022-06-21_final
2022-07-01 09:16:57	ga_ls8c_ard_3-2-1_090075_2022-06-30_final
2022-07-21 10:33:33	ga_ls8c_ard_3-2-1_102081_2022-07-21_final
2022-08-02 09:17:56	ga_ls8c_ard_3-2-1_090077_2022-08-01_final
2022-08-02 09:22:43	ga_ls8c_ard_3-2-1_090089_2022-08-01_final
2022-08-03 11:42:29	ga_ls8c_ard_3-2-1_113083_2022-08-03_final
2022-08-07 11:14:36	ga_ls8c_ard_3-2-1_109075_2022-08-07_final
2022-08-08 11:58:40	ga_ls8c_ard_3-2-1_116077_2022-08-08_final
2022-08-11 09:16:37	ga_ls8c_ard_3-2-1_089089_2022-08-10_final
2022-08-18 10:56:07	ga_ls8c_ard_3-2-1_106075_2022-08-18_final
2022-08-23 09:34:59	ga_ls8c_ard_3-2-1_093073_2022-08-23_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-09-27 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-09-27_final
2022-10-03 09:34:52	ga_ls8c_ard_3-2-1_092088_2022-10-03_final
2022-10-04 10:11:20	ga_ls8c_ard_3-2-1_099071_2022-10-04_final
2022-10-05 09:18:30	ga_ls8c_ard_3-2-1_090078_2022-10-04_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-10-18 10:26:02	ga_ls8c_ard_3-2-1_101077_2022-10-18_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-10-27 10:19:32	ga_ls8c_ard_3-2-1_100076_2022-10-27_final
2022-10-29 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-10-29_final
2022-11-05 11:53:27	ga_ls8c_ard_3-2-1_115079_2022-11-05_final
2022-11-09 11:26:18	ga_ls8c_ard_3-2-1_111073_2022-11-09_final
2022-11-13 09:27:03	ga_ls8c_ard_3-2-1_091084_2022-11-12_final
2022-11-14 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-14_final
2022-11-15 09:12:16	ga_ls8c_ard_3-2-1_089078_2022-11-14_final
2022-11-15 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-11-15_final
2022-12-04 09:40:23	ga_ls8c_ard_3-2-1_094071_2022-12-04_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-07 10:09:41	ga_ls8c_ard_3-2-1_099067_2022-12-07_final
2022-12-07 10:14:04	ga_ls8c_ard_3-2-1_099078_2022-12-07_final
2022-12-07 11:52:57	ga_ls8c_ard_3-2-1_115078_2022-12-07_final
2022-12-14 10:19:48	ga_ls8c_ard_3-2-1_100077_2022-12-14_final
2022-12-24 09:19:52	ga_ls8c_ard_3-2-1_090082_2022-12-23_final
2022-12-26 09:07:32	ga_ls8c_ard_3-2-1_088082_2022-12-25_final
2023-01-15 10:19:13	ga_ls8c_ard_3-2-1_100076_2023-01-15_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-02-02 10:07:43	ga_ls8c_ard_3-2-1_098078_2023-02-02_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-05-02 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-05-02_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-12 10:38:44	ga_ls8c_ard_3-2-1_103081_2023-05-12_final
2023-05-26 10:49:07	ga_ls8c_ard_3-2-1_105076_2023-05-26_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-20 09:06:12	ga_ls8c_ard_3-2-1_088081_2023-06-19_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-06-25 12:36:58	ga_ls8c_ard_3-2-1_123067_2023-06-25_final
2023-06-27 09:14:27	ga_ls8c_ard_3-2-1_089086_2023-06-26_final
2023-08-12 09:27:56	ga_ls8c_ard_3-2-1_091088_2023-08-11_final
2023-08-14 09:10:01	ga_ls8c_ard_3-2-1_089074_2023-08-13_final
2023-08-22 11:41:37	ga_ls8c_ard_3-2-1_113082_2023-08-22_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-08-28 09:28:28	ga_ls8c_ard_3-2-1_091089_2023-08-27_final
2023-09-22 09:22:45	ga_ls8c_ard_3-2-1_090090_2023-09-21_final
2023-10-09 09:57:19	ga_ls8c_ard_3-2-1_097068_2023-10-09_final
2023-10-12 10:33:49	ga_ls8c_ard_3-2-1_102082_2023-10-12_final
2023-10-24 09:21:40	ga_ls8c_ard_3-2-1_090087_2023-10-23_final
2023-10-31 09:22:42	ga_ls8c_ard_3-2-1_091074_2023-10-30_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-05 09:40:25	ga_ls8c_ard_3-2-1_094072_2023-11-05_final
2023-11-11 09:07:16	ga_ls8c_ard_3-2-1_088082_2023-11-10_final
2023-11-16 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-11-15_final
2023-11-19 11:32:06	ga_ls8c_ard_3-2-1_112073_2023-11-19_final
2023-12-02 09:25:04	ga_ls8c_ard_3-2-1_091080_2023-12-01_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-10 11:52:32	ga_ls8c_ard_3-2-1_115078_2023-12-10_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-20 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-01-20_final
2024-01-21 10:52:41	ga_ls8c_ard_3-2-1_105083_2024-01-21_final
2024-01-22 11:31:56	ga_ls8c_ard_3-2-1_112073_2024-01-22_final
2024-01-26 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-01-25_final
2024-01-28 10:58:47	ga_ls8c_ard_3-2-1_106083_2024-01-28_final
2024-02-07 09:53:05	ga_ls8c_ard_3-2-1_096073_2024-02-07_final
2024-02-12 10:14:01	ga_ls8c_ard_3-2-1_099079_2024-02-12_final
2024-03-02 09:06:18	ga_ls8c_ard_3-2-1_088080_2024-03-01_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_final
2024-03-20 10:29:26	ga_ls8c_ard_3-2-1_102072_2024-03-20_final
2024-03-28 11:17:54	ga_ls8c_ard_3-2-1_110070_2024-03-28_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