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
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2021-08-14 10:16:27	ga_ls8c_ard_3-2-0_099085_2021-08-14_final
2021-08-18 11:25:51	ga_ls8c_ard_3-2-0_111073_2021-08-18_final
2021-09-21 09:34:20	ga_ls8c_ard_3-2-0_093072_2021-09-21_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2021-10-03 09:57:08	ga_ls8c_ard_3-2-0_097067_2021-10-03_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-10-18 10:55:37	ga_ls8c_ard_3-2-0_106074_2021-10-18_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-24 10:20:08	ga_ls8c_ard_3-2-0_100078_2021-10-24_final
2021-11-02 11:53:37	ga_ls8c_ard_3-2-0_115080_2021-11-02_final
2021-11-10 09:22:04	ga_ls8c_ard_3-2-0_091072_2021-11-09_final
2021-12-01 11:18:40	ga_ls8c_ard_3-2-0_110070_2021-12-01_final
2021-12-08 11:26:27	ga_ls8c_ard_3-2-1_111074_2021-12-08_final
2021-12-31 11:36:06	ga_ls8c_ard_3-2-1_112083_2021-12-31_final
2022-01-04 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-01-03_final
2022-01-10 10:28:18	ga_ls8c_ard_3-2-1_102068_2022-01-10_final
2022-01-30 10:09:52	ga_ls8c_ard_3-2-1_098084_2022-01-30_final
2022-01-31 10:49:08	ga_ls8c_ard_3-2-1_105074_2022-01-31_final
2022-02-15 11:47:30	ga_ls8c_ard_3-2-1_114081_2022-02-15_final
2022-02-16 10:49:52	ga_ls8c_ard_3-2-1_105076_2022-02-16_final
2022-02-17 11:36:19	ga_ls8c_ard_3-2-1_112084_2022-02-17_final
2022-03-06 10:34:39	ga_ls8c_ard_3-2-1_103069_2022-03-06_final
2022-03-17 11:57:18	ga_ls8c_ard_3-2-1_116075_2022-03-17_final
2022-03-18 11:02:04	ga_ls8c_ard_3-2-1_107076_2022-03-18_final
2022-04-01 11:13:28	ga_ls8c_ard_3-2-1_109074_2022-04-01_final
2022-04-03 11:04:41	ga_ls8c_ard_3-2-1_107083_2022-04-03_final
2022-04-13 11:42:16	ga_ls8c_ard_3-2-1_113084_2022-04-13_final
2022-05-21 09:28:49	ga_ls8c_ard_3-2-1_091090_2022-05-20_final
2022-05-21 10:59:43	ga_ls8c_ard_3-2-1_107070_2022-05-21_final
2022-05-22 11:47:22	ga_ls8c_ard_3-2-1_114081_2022-05-22_final
2022-05-27 10:23:00	ga_ls8c_ard_3-2-1_101071_2022-05-27_final
2022-06-18 11:26:17	ga_ls8c_ard_3-2-1_111074_2022-06-18_final
2022-06-30 10:16:09	ga_ls8c_ard_3-2-1_099084_2022-06-30_final
2022-08-02 09:17:56	ga_ls8c_ard_3-2-1_090077_2022-08-01_final
2022-08-10 10:10:38	ga_ls8c_ard_3-2-1_098085_2022-08-10_final
2022-08-14 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-08-14_final
2022-08-18 10:58:54	ga_ls8c_ard_3-2-1_106082_2022-08-18_final
2022-08-25 09:22:13	ga_ls8c_ard_3-2-1_091072_2022-08-24_final
2022-09-01 09:29:59	ga_ls8c_ard_3-2-1_092076_2022-08-31_final
2022-09-04 10:04:05	ga_ls8c_ard_3-2-1_097084_2022-09-04_final
2022-09-26 09:27:31	ga_ls8c_ard_3-2-1_091085_2022-09-25_final
2022-09-28 09:12:46	ga_ls8c_ard_3-2-1_089079_2022-09-27_final
2022-10-03 11:08:34	ga_ls8c_ard_3-2-1_108075_2022-10-03_final
2022-10-03 11:12:10	ga_ls8c_ard_3-2-1_108084_2022-10-03_final
2022-10-11 11:58:19	ga_ls8c_ard_3-2-1_116076_2022-10-11_final
2022-10-14 09:17:00	ga_ls8c_ard_3-2-1_089090_2022-10-13_final
2022-10-20 10:15:41	ga_ls8c_ard_3-2-1_099082_2022-10-20_final
2022-12-08 10:55:44	ga_ls8c_ard_3-2-1_106074_2022-12-08_final
2022-12-15 11:04:39	ga_ls8c_ard_3-2-1_107081_2022-12-15_final
2022-12-18 11:36:42	ga_ls8c_ard_3-2-1_112084_2022-12-18_final
2022-12-19 10:34:41	ga_ls8c_ard_3-2-1_103068_2022-12-19_final
2023-01-03 11:36:40	ga_ls8c_ard_3-2-1_112084_2023-01-03_final
2023-01-04 10:35:52	ga_ls8c_ard_3-2-1_103071_2023-01-04_final
2023-01-10 11:42:25	ga_ls8c_ard_3-2-1_113083_2023-01-10_final
2023-02-18 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-02-18_final
2023-02-27 11:42:06	ga_ls8c_ard_3-2-1_113083_2023-02-27_final
2023-03-20 10:18:48	ga_ls8c_ard_3-2-1_100076_2023-03-20_final
2023-03-24 09:52:25	ga_ls8c_ard_3-2-1_096072_2023-03-24_final
2023-03-26 09:40:27	ga_ls8c_ard_3-2-1_094073_2023-03-26_final
2023-04-02 09:51:45	ga_ls8c_ard_3-2-1_095086_2023-04-02_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-04-06 09:22:58	ga_ls8c_ard_3-2-1_091076_2023-04-05_final
2023-04-14 10:13:04	ga_ls8c_ard_3-2-1_099078_2023-04-14_final
2023-04-28 10:22:35	ga_ls8c_ard_3-2-1_101071_2023-04-28_final
2023-05-04 09:46:15	ga_ls8c_ard_3-2-1_095073_2023-05-04_final
2023-05-11 11:35:10	ga_ls8c_ard_3-2-1_112083_2023-05-11_final
2023-05-15 09:33:55	ga_ls8c_ard_3-2-1_092089_2023-05-15_final
2023-05-21 10:32:56	ga_ls8c_ard_3-2-1_102082_2023-05-21_final
2023-06-20 09:05:48	ga_ls8c_ard_3-2-1_088080_2023-06-19_final
2023-06-25 11:04:52	ga_ls8c_ard_3-2-1_107084_2023-06-25_final
2023-07-01 10:25:53	ga_ls8c_ard_3-2-1_101079_2023-07-01_final
2023-07-01 10:27:05	ga_ls8c_ard_3-2-1_101082_2023-07-01_final
2023-07-28 10:06:21	ga_ls8c_ard_3-2-1_098076_2023-07-28_final
2023-07-31 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-07-31_final
2023-08-20 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-08-20_final
2023-09-02 11:19:30	ga_ls8c_ard_3-2-1_110073_2023-09-02_final
2023-09-18 09:40:41	ga_ls8c_ard_3-2-1_094073_2023-09-18_final
2023-09-21 11:52:52	ga_ls8c_ard_3-2-1_115079_2023-09-21_final
2023-09-25 09:50:53	ga_ls8c_ard_3-2-1_095083_2023-09-25_final
2023-10-15 09:23:27	ga_ls8c_ard_3-2-1_091076_2023-10-14_final
2023-10-15 10:59:56	ga_ls8c_ard_3-2-1_107070_2023-10-15_final
2023-10-17 10:51:57	ga_ls8c_ard_3-2-1_105081_2023-10-17_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-08 10:11:17	ga_ls8c_ard_3-2-1_099072_2023-11-08_final
2023-11-15 11:58:46	ga_ls8c_ard_3-2-1_116078_2023-11-15_final
2023-11-21 11:24:08	ga_ls8c_ard_3-2-1_110084_2023-11-21_final
2023-11-26 10:01:24	ga_ls8c_ard_3-2-1_097078_2023-11-26_final
2023-12-06 10:39:56	ga_ls8c_ard_3-2-1_103082_2023-12-06_final
2024-01-06 09:57:03	ga_ls8c_ard_3-2-1_096083_2024-01-06_final
2024-01-07 10:35:08	ga_ls8c_ard_3-2-1_103070_2024-01-07_final
2024-01-22 11:35:56	ga_ls8c_ard_3-2-1_112083_2024-01-22_final
2024-01-24 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-01-24_final
2024-02-07 11:35:58	ga_ls8c_ard_3-2-1_112083_2024-02-07_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-27 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-02-26_final
2024-03-01 09:59:08	ga_ls8c_ard_3-2-1_097073_2024-03-01_final
2024-03-01 11:42:01	ga_ls8c_ard_3-2-1_113083_2024-03-01_final
2024-03-05 09:40:20	ga_ls8c_ard_3-2-1_093088_2024-03-05_final
2024-03-19 11:29:51	ga_ls8c_ard_3-2-1_111084_2024-03-19_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