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
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2021-07-05 12:37:22	ga_ls8c_ard_3-2-1_123067_2021-07-05_final
2022-03-28 11:42:12	ga_ls8c_ard_3-2-1_113084_2022-03-28_final
2023-10-06 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-10-06_final
2023-10-11 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-10-11_final
2023-10-12 10:29:26	ga_ls8c_ard_3-2-1_102071_2023-10-12_final
2023-10-14 10:21:52	ga_ls8c_ard_3-2-1_100083_2023-10-14_final
2023-10-23 10:11:42	ga_ls8c_ard_3-2-1_099073_2023-10-23_final
2023-10-23 10:12:54	ga_ls8c_ard_3-2-1_099076_2023-10-23_final
2023-10-23 11:52:11	ga_ls8c_ard_3-2-1_115077_2023-10-23_final
2023-10-24 10:57:46	ga_ls8c_ard_3-2-1_106080_2023-10-24_final
2023-11-04 10:34:51	ga_ls8c_ard_3-2-1_103069_2023-11-04_final
2023-11-10 10:04:04	ga_ls8c_ard_3-2-1_097085_2023-11-10_final
2023-11-15 10:21:05	ga_ls8c_ard_3-2-1_100081_2023-11-15_final
2023-11-17 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-17_final
2023-11-17 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-11-17_final
2023-11-23 09:33:18	ga_ls8c_ard_3-2-1_092085_2023-11-23_final
2023-11-23 11:11:23	ga_ls8c_ard_3-2-1_108083_2023-11-23_final
2023-11-25 10:57:26	ga_ls8c_ard_3-2-1_106079_2023-11-25_final
2023-11-26 11:41:53	ga_ls8c_ard_3-2-1_113082_2023-11-26_final
2023-12-02 11:01:57	ga_ls8c_ard_3-2-1_107075_2023-12-02_final
2023-12-02 11:03:33	ga_ls8c_ard_3-2-1_107079_2023-12-02_final
2023-12-02 11:04:20	ga_ls8c_ard_3-2-1_107081_2023-12-02_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-06 10:39:08	ga_ls8c_ard_3-2-1_103080_2023-12-06_final
2023-12-08 10:25:11	ga_ls8c_ard_3-2-1_101076_2023-12-08_final
2023-12-09 11:06:52	ga_ls8c_ard_3-2-1_108072_2023-12-09_final
2023-12-12 10:03:18	ga_ls8c_ard_3-2-1_097083_2023-12-12_final
2023-12-12 11:41:00	ga_ls8c_ard_3-2-1_113080_2023-12-12_final
2023-12-12 11:41:24	ga_ls8c_ard_3-2-1_113081_2023-12-12_final
2023-12-12 11:42:36	ga_ls8c_ard_3-2-1_113084_2023-12-12_final
2023-12-13 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-13_final
2023-12-13 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-13_final
2023-12-15 10:29:51	ga_ls8c_ard_3-2-1_102072_2023-12-15_final
2023-12-16 09:35:50	ga_ls8c_ard_3-2-1_093076_2023-12-16_final
2023-12-16 11:17:31	ga_ls8c_ard_3-2-1_109083_2023-12-16_final
2023-12-18 11:03:34	ga_ls8c_ard_3-2-1_107079_2023-12-18_final
2023-12-19 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-12-19_final
2023-12-20 10:48:01	ga_ls8c_ard_3-2-1_105071_2023-12-20_final
2023-12-21 09:54:48	ga_ls8c_ard_3-2-1_096077_2023-12-21_final
2023-12-21 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-12-21_final
2023-12-22 10:34:52	ga_ls8c_ard_3-2-1_103069_2023-12-22_final
2023-12-22 10:35:16	ga_ls8c_ard_3-2-1_103070_2023-12-22_final
2023-12-23 09:44:50	ga_ls8c_ard_3-2-1_094083_2023-12-23_final
2023-12-23 11:22:07	ga_ls8c_ard_3-2-1_110079_2023-12-23_final
2023-12-24 10:25:42	ga_ls8c_ard_3-2-1_101077_2023-12-24_final
2023-12-24 10:27:17	ga_ls8c_ard_3-2-1_101081_2023-12-24_final
2023-12-25 09:32:04	ga_ls8c_ard_3-2-1_092082_2023-12-25_final
2023-12-25 09:34:27	ga_ls8c_ard_3-2-1_092088_2023-12-25_final
2023-12-27 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-12-27_final
2024-01-01 09:36:34	ga_ls8c_ard_3-2-1_093078_2024-01-01_final
2024-01-05 10:48:40	ga_ls8c_ard_3-2-1_105073_2024-01-05_final
2024-01-06 09:53:04	ga_ls8c_ard_3-2-1_096073_2024-01-06_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-09 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-01-09_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-11 10:12:26	ga_ls8c_ard_3-2-1_099075_2024-01-11_final
2024-01-11 10:16:26	ga_ls8c_ard_3-2-1_099085_2024-01-11_final
2024-01-12 10:56:54	ga_ls8c_ard_3-2-1_106078_2024-01-12_final
2024-01-13 10:01:41	ga_ls8c_ard_3-2-1_097079_2024-01-13_final
2024-01-14 10:43:45	ga_ls8c_ard_3-2-1_104076_2024-01-14_final
2024-01-16 10:32:11	ga_ls8c_ard_3-2-1_102078_2024-01-16_final
2024-01-19 11:03:28	ga_ls8c_ard_3-2-1_107079_2024-01-19_final
2024-01-21 09:15:00	ga_ls8c_ard_3-2-1_089086_2024-01-20_final
2024-01-22 11:32:44	ga_ls8c_ard_3-2-1_112075_2024-01-22_final
2024-01-22 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-22_final
2024-01-24 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-01-24_final
2024-01-24 11:23:56	ga_ls8c_ard_3-2-1_110084_2024-01-24_final
2024-01-29 09:58:24	ga_ls8c_ard_3-2-1_097071_2024-01-29_final
2024-01-29 10:01:35	ga_ls8c_ard_3-2-1_097079_2024-01-29_final
2024-02-02 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-02_final
2024-02-02 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-02_final
2024-02-05 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-02-05_final
2024-02-05 11:45:07	ga_ls8c_ard_3-2-1_114075_2024-02-05_final
2024-02-06 10:47:54	ga_ls8c_ard_3-2-1_105071_2024-02-06_final
2024-02-14 11:42:31	ga_ls8c_ard_3-2-1_113084_2024-02-14_final
2024-02-18 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-18_final
2024-02-21 11:45:29	ga_ls8c_ard_3-2-1_114076_2024-02-21_final
2024-02-21 11:45:53	ga_ls8c_ard_3-2-1_114077_2024-02-21_final
2024-02-25 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-02-25_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-02-27 11:06:46	ga_ls8c_ard_3-2-1_108072_2024-02-27_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-01 11:38:49	ga_ls8c_ard_3-2-1_113075_2024-03-01_final
2024-03-03 09:51:56	ga_ls8c_ard_3-2-1_095086_2024-03-03_final
2024-03-03 11:29:13	ga_ls8c_ard_3-2-1_111082_2024-03-03_final
2024-03-08 10:06:24	ga_ls8c_ard_3-2-1_098076_2024-03-08_final
2024-03-08 11:44:29	ga_ls8c_ard_3-2-1_114074_2024-03-08_final
2024-03-08 11:45:17	ga_ls8c_ard_3-2-1_114076_2024-03-08_final
2024-03-10 11:32:31	ga_ls8c_ard_3-2-1_112075_2024-03-10_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_final
2024-03-14 09:29:18	ga_ls8c_ard_3-2-1_092076_2024-03-13_final
2024-03-15 10:15:44	ga_ls8c_ard_3-2-1_099084_2024-03-15_final
2024-03-19 09:50:34	ga_ls8c_ard_3-2-1_095083_2024-03-19_final
2024-03-21 09:36:11	ga_ls8c_ard_3-2-1_093078_2024-03-21_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_final
2024-03-26 09:57:00	ga_ls8c_ard_3-2-1_096084_2024-03-26_final
2024-03-31 10:15:07	ga_ls8c_ard_3-2-1_099083_2024-03-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years