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
2016-11-07 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-11-07_final
2016-11-21 12:31:37	ga_ls8c_ard_3-2-1_122067_2016-11-21_final
2016-12-02 14:03:55	ga_ls8c_ard_3-2-1_135097_2016-12-02_final
2016-12-25 14:10:01	ga_ls8c_ard_3-2-1_136097_2016-12-25_final
2017-11-27 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-11-26_final
2017-12-21 14:03:48	ga_ls8c_ard_3-2-1_135097_2017-12-21_final
2017-12-29 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-12-28_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-11-29 14:09:42	ga_ls8c_ard_3-2-1_136097_2018-11-29_final
2018-12-12 10:08:36	ga_ls8c_ard_3-2-1_099066_2018-12-12_final
2018-12-23 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-12-22_final
2018-12-28 10:08:36	ga_ls8c_ard_3-2-1_099066_2018-12-28_final
2019-11-01 08:18:17	ga_ls8c_ard_3-2-1_079098_2019-10-31_final
2019-11-16 14:10:07	ga_ls8c_ard_3-2-1_136097_2019-11-16_final
2019-12-02 14:10:06	ga_ls8c_ard_3-2-1_136097_2019-12-02_final
2019-12-03 08:18:13	ga_ls8c_ard_3-2-1_079098_2019-12-02_final
2020-01-01 12:31:30	ga_ls8c_ard_3-2-1_122067_2020-01-01_final
2020-01-25 10:02:41	ga_ls8c_ard_3-2-1_098066_2020-01-25_final
2020-02-21 08:17:55	ga_ls8c_ard_3-2-1_079098_2020-02-20_final
2020-02-29 14:03:34	ga_ls8c_ard_3-2-1_135097_2020-02-29_final
2020-04-09 08:17:32	ga_ls8c_ard_3-2-1_079098_2020-04-08_final
2020-05-21 08:48:02	ga_ls8c_ard_3-2-1_085082_2020-05-20_final
2020-05-31 12:36:57	ga_ls8c_ard_3-2-1_123067_2020-05-31_final
2020-06-15 08:42:03	ga_ls8c_ard_3-2-1_084082_2020-06-14_final
2021-01-22 08:18:03	ga_ls8c_ard_3-2-1_079098_2021-01-21_final
2021-02-07 08:18:01	ga_ls8c_ard_3-2-1_079098_2021-02-06_final
2021-03-02 08:24:03	ga_ls8c_ard_3-2-1_080098_2021-03-01_final
2021-05-14 08:17:28	ga_ls8c_ard_3-2-1_079098_2021-05-13_final
2021-05-21 08:23:44	ga_ls8c_ard_3-2-1_080098_2021-05-20_final
2021-06-25 08:48:28	ga_ls8c_ard_3-2-1_085082_2021-06-24_final
2021-09-03 08:18:08	ga_ls8c_ard_3-2-1_079098_2021-09-02_final
2021-11-29 08:24:26	ga_ls8c_ard_3-2-1_080098_2021-11-28_final
2022-01-06 09:23:20	ga_ls8c_ard_3-2-1_090091_2022-01-05_final
2022-01-13 10:59:36	ga_ls8c_ard_3-2-1_107069_2022-01-13_final
2022-01-24 10:40:12	ga_ls8c_ard_3-2-1_104067_2022-01-24_final
2022-02-04 10:22:25	ga_ls8c_ard_3-2-1_101069_2022-02-04_final
2022-02-17 08:24:08	ga_ls8c_ard_3-2-1_080098_2022-02-16_final
2022-02-22 10:08:46	ga_ls8c_ard_3-2-1_099066_2022-02-22_final
2022-02-23 10:52:25	ga_ls8c_ard_3-2-1_106067_2022-02-23_final
2022-04-14 10:39:52	ga_ls8c_ard_3-2-1_104067_2022-04-14_final
2022-07-24 10:59:42	ga_ls8c_ard_3-2-1_107069_2022-07-24_final
2022-08-15 10:22:49	ga_ls8c_ard_3-2-1_101069_2022-08-15_final
2022-08-25 10:59:30	ga_ls8c_ard_3-2-1_107068_2022-08-25_final
2022-08-25 10:59:54	ga_ls8c_ard_3-2-1_107069_2022-08-25_final
2022-09-16 08:49:14	ga_ls8c_ard_3-2-1_085082_2022-09-15_final
2022-10-31 08:24:43	ga_ls8c_ard_3-2-1_080098_2022-10-30_final
2022-12-10 14:10:18	ga_ls8c_ard_3-2-1_136097_2022-12-10_final
2022-12-18 08:24:32	ga_ls8c_ard_3-2-1_080098_2022-12-17_final
2022-12-28 10:28:05	ga_ls8c_ard_3-2-1_102067_2022-12-28_final
2022-12-31 10:59:23	ga_ls8c_ard_3-2-1_107068_2022-12-31_final
2022-12-31 10:59:47	ga_ls8c_ard_3-2-1_107069_2022-12-31_final
2023-01-01 10:02:58	ga_ls8c_ard_3-2-1_098066_2023-01-01_final
2023-01-06 10:22:42	ga_ls8c_ard_3-2-1_101069_2023-01-06_final
2023-01-18 09:15:59	ga_ls8c_ard_3-2-1_089088_2023-01-17_final
2023-01-25 10:52:45	ga_ls8c_ard_3-2-1_106067_2023-01-25_final
2023-02-10 10:52:43	ga_ls8c_ard_3-2-1_106067_2023-02-10_final
2023-02-12 10:40:20	ga_ls8c_ard_3-2-1_104067_2023-02-12_final
2023-03-02 10:27:43	ga_ls8c_ard_3-2-1_102067_2023-03-02_final
2023-03-08 08:24:04	ga_ls8c_ard_3-2-1_080098_2023-03-07_final
2023-03-16 14:09:44	ga_ls8c_ard_3-2-1_136097_2023-03-16_final
2023-03-21 10:58:51	ga_ls8c_ard_3-2-1_107068_2023-03-21_final
2023-03-21 10:59:15	ga_ls8c_ard_3-2-1_107069_2023-03-21_final
2023-04-06 10:58:39	ga_ls8c_ard_3-2-1_107068_2023-04-06_final
2023-04-07 10:02:13	ga_ls8c_ard_3-2-1_098066_2023-04-07_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-04-17 10:39:34	ga_ls8c_ard_3-2-1_104067_2023-04-17_final
2023-05-07 08:41:48	ga_ls8c_ard_3-2-1_084082_2023-05-06_final
2023-05-08 10:58:45	ga_ls8c_ard_3-2-1_107069_2023-05-08_final
2023-05-25 10:01:51	ga_ls8c_ard_3-2-1_098066_2023-05-25_final
2023-05-27 08:23:24	ga_ls8c_ard_3-2-1_080098_2023-05-26_final
2023-07-04 09:22:44	ga_ls8c_ard_3-2-1_090091_2023-07-03_final
2023-09-17 14:03:40	ga_ls8c_ard_3-2-1_135097_2023-09-17_final
2023-09-25 08:18:00	ga_ls8c_ard_3-2-1_079098_2023-09-24_final
2024-01-12 10:52:31	ga_ls8c_ard_3-2-1_106067_2024-01-12_final
2024-01-14 14:09:54	ga_ls8c_ard_3-2-1_136097_2024-01-14_final
2024-01-19 10:59:28	ga_ls8c_ard_3-2-1_107069_2024-01-19_final
2024-01-25 10:22:19	ga_ls8c_ard_3-2-1_101069_2024-01-25_final
2024-03-07 10:58:50	ga_ls8c_ard_3-2-1_107068_2024-03-07_final
2024-03-07 10:59:14	ga_ls8c_ard_3-2-1_107069_2024-03-07_final
2024-03-12 11:17:45	ga_ls8c_ard_3-2-1_110069_2024-03-12_final
2024-03-12 11:18:57	ga_ls8c_ard_3-2-1_110072_2024-03-12_final
2024-03-14 11:05:23	ga_ls8c_ard_3-2-1_108069_2024-03-14_final
2024-03-14 11:08:35	ga_ls8c_ard_3-2-1_108077_2024-03-14_final
2024-03-15 10:12:09	ga_ls8c_ard_3-2-1_099075_2024-03-15_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-18 10:40:13	ga_ls8c_ard_3-2-1_104068_2024-03-18_final
2024-03-18 10:40:37	ga_ls8c_ard_3-2-1_104069_2024-03-18_final
2024-03-18 10:41:01	ga_ls8c_ard_3-2-1_104070_2024-03-18_final
2024-03-18 10:44:37	ga_ls8c_ard_3-2-1_104079_2024-03-18_final
2024-03-19 09:45:47	ga_ls8c_ard_3-2-1_095071_2024-03-19_final
2024-03-19 09:46:11	ga_ls8c_ard_3-2-1_095072_2024-03-19_final
2024-03-20 10:29:26	ga_ls8c_ard_3-2-1_102072_2024-03-20_final
2024-03-20 10:29:50	ga_ls8c_ard_3-2-1_102073_2024-03-20_final
2024-03-23 09:24:35	ga_ls8c_ard_3-2-1_091080_2024-03-22_final
2024-03-23 09:24:59	ga_ls8c_ard_3-2-1_091081_2024-03-22_final
2024-03-23 11:01:05	ga_ls8c_ard_3-2-1_107074_2024-03-23_final
2024-03-24 10:06:14	ga_ls8c_ard_3-2-1_098076_2024-03-24_final
2024-03-25 09:11:23	ga_ls8c_ard_3-2-1_089078_2024-03-24_final
2024-03-29 10:24:41	ga_ls8c_ard_3-2-1_101076_2024-03-29_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