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
2022-10-23 10:45:49	ga_ls8c_ard_3-2-1_104080_2022-10-23_final
2022-10-28 11:04:23	ga_ls8c_ard_3-2-1_107080_2022-10-28_final
2022-10-29 11:48:03	ga_ls8c_ard_3-2-1_114081_2022-10-29_final
2022-10-30 10:50:50	ga_ls8c_ard_3-2-1_105077_2022-10-30_final
2022-10-30 10:53:14	ga_ls8c_ard_3-2-1_105083_2022-10-30_final
2022-11-09 11:25:30	ga_ls8c_ard_3-2-1_111071_2022-11-09_final
2022-12-20 11:23:55	ga_ls8c_ard_3-2-1_110083_2022-12-20_final
2022-12-24 09:20:40	ga_ls8c_ard_3-2-1_090084_2022-12-23_final
2022-12-26 10:42:01	ga_ls8c_ard_3-2-1_104071_2022-12-26_final
2023-01-26 11:39:13	ga_ls8c_ard_3-2-1_113075_2023-01-26_final
2023-02-11 11:41:33	ga_ls8c_ard_3-2-1_113081_2023-02-11_final
2023-02-17 09:24:43	ga_ls8c_ard_3-2-1_091079_2023-02-16_final
2023-02-21 10:38:23	ga_ls8c_ard_3-2-1_103078_2023-02-21_final
2023-03-02 10:31:43	ga_ls8c_ard_3-2-1_102077_2023-03-02_final
2023-03-05 11:03:47	ga_ls8c_ard_3-2-1_107080_2023-03-05_final
2023-03-17 11:26:49	ga_ls8c_ard_3-2-1_111076_2023-03-17_final
2023-03-19 09:35:33	ga_ls8c_ard_3-2-1_093076_2023-03-19_final
2023-03-19 09:37:33	ga_ls8c_ard_3-2-1_093081_2023-03-19_final
2023-03-23 10:48:27	ga_ls8c_ard_3-2-1_105073_2023-03-23_final
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-25 10:38:04	ga_ls8c_ard_3-2-1_103078_2023-03-25_final
2023-03-28 11:09:45	ga_ls8c_ard_3-2-1_108080_2023-03-28_final
2023-03-29 10:11:20	ga_ls8c_ard_3-2-1_099073_2023-03-29_final
2023-04-04 09:39:21	ga_ls8c_ard_3-2-1_093086_2023-04-04_final
2023-05-04 11:29:31	ga_ls8c_ard_3-2-1_111084_2023-05-04_final
2023-05-13 09:42:18	ga_ls8c_ard_3-2-1_094079_2023-05-13_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-05-27 11:31:11	ga_ls8c_ard_3-2-1_112073_2023-05-27_final
2023-05-31 11:04:52	ga_ls8c_ard_3-2-1_108069_2023-05-31_final
2023-06-02 09:17:12	ga_ls8c_ard_3-2-1_090078_2023-06-01_final
2023-06-02 10:53:42	ga_ls8c_ard_3-2-1_106072_2023-06-02_final
2023-06-08 10:19:30	ga_ls8c_ard_3-2-1_100079_2023-06-08_final
2023-06-09 10:59:59	ga_ls8c_ard_3-2-1_107072_2023-06-09_final
2023-06-12 09:54:49	ga_ls8c_ard_3-2-1_096079_2023-06-12_final
2023-06-12 09:55:37	ga_ls8c_ard_3-2-1_096081_2023-06-12_final
2023-06-16 09:30:07	ga_ls8c_ard_3-2-1_092079_2023-06-16_final
2023-06-16 09:32:31	ga_ls8c_ard_3-2-1_092085_2023-06-16_final
2023-06-16 11:09:00	ga_ls8c_ard_3-2-1_108079_2023-06-16_final
2023-06-18 09:19:22	ga_ls8c_ard_3-2-1_090083_2023-06-17_final
2023-06-21 09:45:28	ga_ls8c_ard_3-2-1_095071_2023-06-21_final
2023-06-30 11:22:41	ga_ls8c_ard_3-2-1_110082_2023-06-30_final
2023-07-05 11:42:05	ga_ls8c_ard_3-2-1_113084_2023-07-05_final
2023-07-13 10:48:18	ga_ls8c_ard_3-2-1_105073_2023-07-13_final
2023-07-14 09:53:05	ga_ls8c_ard_3-2-1_096074_2023-07-14_final
2023-07-20 09:18:47	ga_ls8c_ard_3-2-1_090081_2023-07-19_final
2023-07-29 09:12:20	ga_ls8c_ard_3-2-1_089080_2023-07-28_final
2023-08-02 10:23:44	ga_ls8c_ard_3-2-1_101073_2023-08-02_final
2023-08-03 09:30:30	ga_ls8c_ard_3-2-1_092079_2023-08-03_final
2023-08-08 09:49:03	ga_ls8c_ard_3-2-1_095079_2023-08-08_final
2023-08-08 09:49:51	ga_ls8c_ard_3-2-1_095081_2023-08-08_final
2023-08-24 11:26:29	ga_ls8c_ard_3-2-1_111075_2023-08-24_final
2023-08-25 10:29:16	ga_ls8c_ard_3-2-1_102071_2023-08-25_final
2023-08-27 10:20:06	ga_ls8c_ard_3-2-1_100079_2023-08-27_final
2023-09-08 10:43:12	ga_ls8c_ard_3-2-1_104075_2023-09-08_final
2023-09-09 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-09-09_final
2023-09-15 10:46:16	ga_ls8c_ard_3-2-1_105067_2023-09-15_final
2023-09-16 11:31:56	ga_ls8c_ard_3-2-1_112073_2023-09-16_final
2023-09-18 11:21:10	ga_ls8c_ard_3-2-1_110077_2023-09-18_final
2023-09-21 10:12:47	ga_ls8c_ard_3-2-1_099076_2023-09-21_final
2023-09-23 09:58:50	ga_ls8c_ard_3-2-1_097072_2023-09-23_final
2023-09-28 10:18:13	ga_ls8c_ard_3-2-1_100074_2023-09-28_final
2023-09-29 09:28:11	ga_ls8c_ard_3-2-1_091088_2023-09-28_final
2023-10-17 10:46:22	ga_ls8c_ard_3-2-1_105067_2023-10-17_final
2023-10-24 09:19:41	ga_ls8c_ard_3-2-1_090082_2023-10-23_final
2023-10-26 10:43:49	ga_ls8c_ard_3-2-1_104076_2023-10-26_final
2023-11-14 11:13:06	ga_ls8c_ard_3-2-1_109072_2023-11-14_final
2023-11-24 10:15:46	ga_ls8c_ard_3-2-1_099083_2023-11-24_final
2023-11-24 11:51:03	ga_ls8c_ard_3-2-1_115074_2023-11-24_final
2023-12-02 11:03:56	ga_ls8c_ard_3-2-1_107080_2023-12-02_final
2023-12-09 11:06:04	ga_ls8c_ard_3-2-1_108070_2023-12-09_final
2023-12-10 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-12-10_final
2023-12-12 10:00:55	ga_ls8c_ard_3-2-1_097077_2023-12-12_final
2023-12-19 10:06:21	ga_ls8c_ard_3-2-1_098075_2023-12-19_final
2023-12-20 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-12-20_final
2023-12-21 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-12-21_final
2023-12-28 10:00:56	ga_ls8c_ard_3-2-1_097077_2023-12-28_final
2023-12-31 10:29:49	ga_ls8c_ard_3-2-1_102072_2023-12-31_final
2024-01-11 10:16:26	ga_ls8c_ard_3-2-1_099085_2024-01-11_final
2024-01-11 11:52:07	ga_ls8c_ard_3-2-1_115077_2024-01-11_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-01-26 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-01-26_final
2024-01-28 10:57:59	ga_ls8c_ard_3-2-1_106081_2024-01-28_final
2024-01-29 11:39:16	ga_ls8c_ard_3-2-1_113076_2024-01-29_final
2024-02-01 10:29:44	ga_ls8c_ard_3-2-1_102072_2024-02-01_final
2024-02-02 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-02_final
2024-02-05 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-02-05_final
2024-02-09 11:22:48	ga_ls8c_ard_3-2-1_110081_2024-02-09_final
2024-02-10 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-02-10_final
2024-02-19 10:21:22	ga_ls8c_ard_3-2-1_100082_2024-02-19_final
2024-02-20 11:04:13	ga_ls8c_ard_3-2-1_107081_2024-02-20_final
2024-02-22 10:50:15	ga_ls8c_ard_3-2-1_105077_2024-02-22_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-03-01 10:01:56	ga_ls8c_ard_3-2-1_097080_2024-03-01_final
2024-03-05 11:16:01	ga_ls8c_ard_3-2-1_109080_2024-03-05_final
2024-03-06 10:19:59	ga_ls8c_ard_3-2-1_100079_2024-03-06_final
2024-03-11 10:38:06	ga_ls8c_ard_3-2-1_103078_2024-03-11_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-14 11:08:11	ga_ls8c_ard_3-2-1_108076_2024-03-14_final
2024-03-19 09:48:59	ga_ls8c_ard_3-2-1_095079_2024-03-19_final
2024-03-26 09:52:37	ga_ls8c_ard_3-2-1_096073_2024-03-26_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