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
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-04-05 10:08:24	ga_ls8c_ard_3-2-1_099066_2020-04-05_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-04-02 11:57:07	ga_ls8c_ard_3-2-1_116075_2022-04-02_final
2022-04-18 10:19:08	ga_ls8c_ard_3-2-1_100077_2022-04-18_final
2022-04-25 10:22:52	ga_ls8c_ard_3-2-1_101071_2022-04-25_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-05-05 11:01:36	ga_ls8c_ard_3-2-1_107075_2022-05-05_final
2022-05-07 10:49:16	ga_ls8c_ard_3-2-1_105075_2022-05-07_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-05-24 11:31:24	ga_ls8c_ard_3-2-1_112072_2022-05-24_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-06-21 10:19:55	ga_ls8c_ard_3-2-1_100078_2022-06-21_final
2022-06-22 11:02:23	ga_ls8c_ard_3-2-1_107076_2022-06-22_final
2022-07-12 10:40:04	ga_ls8c_ard_3-2-1_103082_2022-07-12_final
2022-07-26 10:49:22	ga_ls8c_ard_3-2-1_105074_2022-07-26_final
2022-07-29 11:20:42	ga_ls8c_ard_3-2-1_110075_2022-07-29_final
2022-08-05 09:52:27	ga_ls8c_ard_3-2-1_095086_2022-08-05_final
2022-08-06 10:28:32	ga_ls8c_ard_3-2-1_102068_2022-08-06_final
2022-08-14 11:20:49	ga_ls8c_ard_3-2-1_110075_2022-08-14_final
2022-08-20 09:08:04	ga_ls8c_ard_3-2-1_088083_2022-08-19_final
2022-09-06 11:30:38	ga_ls8c_ard_3-2-1_111084_2022-09-06_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-09-24 11:14:46	ga_ls8c_ard_3-2-1_109075_2022-09-24_final
2022-09-26 09:28:43	ga_ls8c_ard_3-2-1_091088_2022-09-25_final
2022-09-26 11:02:25	ga_ls8c_ard_3-2-1_107075_2022-09-26_final
2022-09-30 10:34:53	ga_ls8c_ard_3-2-1_103068_2022-09-30_final
2022-10-11 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-10-11_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-10-17 09:40:45	ga_ls8c_ard_3-2-1_094072_2022-10-17_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_final
2022-11-02 09:44:52	ga_ls8c_ard_3-2-1_094082_2022-11-02_final
2022-11-10 10:33:52	ga_ls8c_ard_3-2-1_102081_2022-11-10_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-11-18 11:18:49	ga_ls8c_ard_3-2-1_110070_2022-11-18_final
2022-11-18 11:24:24	ga_ls8c_ard_3-2-1_110084_2022-11-18_final
2022-11-22 10:53:44	ga_ls8c_ard_3-2-1_106069_2022-11-22_final
2022-11-27 11:14:41	ga_ls8c_ard_3-2-1_109075_2022-11-27_final
2022-11-29 09:22:15	ga_ls8c_ard_3-2-1_091072_2022-11-28_final
2022-12-19 10:39:52	ga_ls8c_ard_3-2-1_103081_2022-12-19_final
2022-12-31 09:23:42	ga_ls8c_ard_3-2-1_091076_2022-12-30_final
2023-01-05 11:19:07	ga_ls8c_ard_3-2-1_110071_2023-01-05_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-14 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-03-14_final
2023-03-18 10:28:00	ga_ls8c_ard_3-2-1_102068_2023-03-18_final
2023-03-19 11:11:39	ga_ls8c_ard_3-2-1_109069_2023-03-19_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-15 10:52:44	ga_ls8c_ard_3-2-1_106069_2023-04-15_final
2023-04-20 09:34:45	ga_ls8c_ard_3-2-1_093075_2023-04-20_final
2023-04-30 10:13:00	ga_ls8c_ard_3-2-1_099078_2023-04-30_final
2023-05-06 09:38:39	ga_ls8c_ard_3-2-1_093085_2023-05-06_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-05-24 09:21:23	ga_ls8c_ard_3-2-1_091073_2023-05-23_final
2023-06-01 10:08:26	ga_ls8c_ard_3-2-1_099067_2023-06-01_final
2023-06-05 09:46:10	ga_ls8c_ard_3-2-1_095073_2023-06-05_final
2023-06-14 11:20:09	ga_ls8c_ard_3-2-1_110076_2023-06-14_final
2023-06-25 11:01:16	ga_ls8c_ard_3-2-1_107075_2023-06-25_final
2023-06-27 10:51:45	ga_ls8c_ard_3-2-1_105082_2023-06-27_final
2023-07-01 10:26:17	ga_ls8c_ard_3-2-1_101080_2023-07-01_final
2023-07-03 10:15:09	ga_ls8c_ard_3-2-1_099083_2023-07-03_final
2023-07-11 09:27:22	ga_ls8c_ard_3-2-1_091087_2023-07-10_final
2023-07-12 10:09:26	ga_ls8c_ard_3-2-1_098084_2023-07-12_final
2023-07-20 10:55:41	ga_ls8c_ard_3-2-1_106076_2023-07-20_final
2023-08-08 09:51:51	ga_ls8c_ard_3-2-1_095086_2023-08-08_final
2023-08-14 10:46:31	ga_ls8c_ard_3-2-1_105068_2023-08-14_final
2023-08-20 10:13:05	ga_ls8c_ard_3-2-1_099077_2023-08-20_final
2023-08-28 09:27:16	ga_ls8c_ard_3-2-1_091086_2023-08-27_final
2023-08-28 09:28:04	ga_ls8c_ard_3-2-1_091088_2023-08-27_final
2023-09-09 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-09-09_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-11-08 10:10:53	ga_ls8c_ard_3-2-1_099071_2023-11-08_final
2023-11-08 10:14:04	ga_ls8c_ard_3-2-1_099079_2023-11-08_final
2023-11-09 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-11-08_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2023-11-18 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-18_final
2023-11-23 09:29:19	ga_ls8c_ard_3-2-1_092075_2023-11-22_final
2023-11-28 09:52:14	ga_ls8c_ard_3-2-1_095086_2023-11-28_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2023-12-20 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-12-19_final
2023-12-21 09:52:00	ga_ls8c_ard_3-2-1_096070_2023-12-21_final
2023-12-23 11:20:07	ga_ls8c_ard_3-2-1_110074_2023-12-23_final
2023-12-26 10:13:19	ga_ls8c_ard_3-2-1_099077_2023-12-26_final
2023-12-26 10:14:07	ga_ls8c_ard_3-2-1_099079_2023-12-26_final
2024-01-06 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-06_final
2024-01-14 10:42:57	ga_ls8c_ard_3-2-1_104074_2024-01-14_final
2024-01-19 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-19_final
2024-02-02 11:12:12	ga_ls8c_ard_3-2-1_109070_2024-02-02_final
2024-02-05 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-02-05_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_final
2024-02-12 10:10:49	ga_ls8c_ard_3-2-1_099071_2024-02-12_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_final
2024-02-18 09:35:18	ga_ls8c_ard_3-2-1_093075_2024-02-18_final
2024-03-01 09:57:56	ga_ls8c_ard_3-2-1_097070_2024-03-01_final
2024-03-09 10:46:28	ga_ls8c_ard_3-2-1_105068_2024-03-09_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