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
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-10-04 11:52:13	ga_ls8c_ard_3-2-1_115076_2022-10-04_final
2022-10-06 09:59:46	ga_ls8c_ard_3-2-1_097073_2022-10-06_final
2022-10-14 10:53:05	ga_ls8c_ard_3-2-1_105083_2022-10-14_final
2022-10-26 11:13:33	ga_ls8c_ard_3-2-1_109072_2022-10-26_final
2022-10-28 11:04:00	ga_ls8c_ard_3-2-1_107079_2022-10-28_final
2022-11-16 09:57:07	ga_ls8c_ard_3-2-1_096082_2022-11-16_final
2022-11-18 11:24:00	ga_ls8c_ard_3-2-1_110083_2022-11-18_final
2022-11-20 11:11:16	ga_ls8c_ard_3-2-1_108082_2022-11-20_final
2022-11-22 10:57:43	ga_ls8c_ard_3-2-1_106079_2022-11-22_final
2022-11-23 09:59:18	ga_ls8c_ard_3-2-1_097072_2022-11-23_final
2022-11-23 10:02:06	ga_ls8c_ard_3-2-1_097079_2022-11-23_final
2022-11-24 10:41:23	ga_ls8c_ard_3-2-1_104069_2022-11-24_final
2022-11-25 09:50:57	ga_ls8c_ard_3-2-1_095082_2022-11-25_final
2022-12-04 11:21:40	ga_ls8c_ard_3-2-1_110077_2022-12-04_final
2022-12-05 10:25:14	ga_ls8c_ard_3-2-1_101075_2022-12-05_final
2022-12-10 10:44:33	ga_ls8c_ard_3-2-1_104077_2022-12-10_final
2022-12-20 11:23:31	ga_ls8c_ard_3-2-1_110082_2022-12-20_final
2022-12-22 11:11:07	ga_ls8c_ard_3-2-1_108082_2022-12-22_final
2022-12-23 11:52:23	ga_ls8c_ard_3-2-1_115077_2022-12-23_final
2023-02-09 10:12:40	ga_ls8c_ard_3-2-1_099075_2023-02-09_final
2023-02-11 10:01:53	ga_ls8c_ard_3-2-1_097079_2023-02-11_final
2023-02-16 10:18:45	ga_ls8c_ard_3-2-1_100075_2023-02-16_final
2023-02-17 11:04:23	ga_ls8c_ard_3-2-1_107081_2023-02-17_final
2023-02-18 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-02-18_final
2023-02-28 10:40:53	ga_ls8c_ard_3-2-1_104069_2023-02-28_final
2023-03-07 10:47:48	ga_ls8c_ard_3-2-1_105071_2023-03-07_final
2023-03-11 10:25:04	ga_ls8c_ard_3-2-1_101076_2023-03-11_final
2023-05-09 10:07:30	ga_ls8c_ard_3-2-1_098080_2023-05-09_final
2023-05-19 10:39:42	ga_ls8c_ard_3-2-1_104068_2023-05-19_final
2023-05-25 10:08:14	ga_ls8c_ard_3-2-1_098082_2023-05-25_final
2023-08-10 11:14:46	ga_ls8c_ard_3-2-1_109077_2023-08-10_final
2023-08-12 09:25:56	ga_ls8c_ard_3-2-1_091083_2023-08-11_final
2023-08-14 09:12:49	ga_ls8c_ard_3-2-1_089081_2023-08-13_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-11 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-10-11_final
2023-10-13 09:35:01	ga_ls8c_ard_3-2-1_093074_2023-10-13_final
2023-10-13 11:13:06	ga_ls8c_ard_3-2-1_109072_2023-10-13_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-16 10:08:18	ga_ls8c_ard_3-2-1_098080_2023-10-16_final
2023-10-22 11:11:18	ga_ls8c_ard_3-2-1_108083_2023-10-22_final
2023-10-23 10:12:54	ga_ls8c_ard_3-2-1_099076_2023-10-23_final
2023-10-31 11:01:35	ga_ls8c_ard_3-2-1_107074_2023-10-31_final
2023-11-05 09:44:01	ga_ls8c_ard_3-2-1_094081_2023-11-05_final
2023-11-08 10:15:16	ga_ls8c_ard_3-2-1_099082_2023-11-08_final
2023-11-13 10:29:50	ga_ls8c_ard_3-2-1_102072_2023-11-13_final
2023-11-16 09:25:52	ga_ls8c_ard_3-2-1_091082_2023-11-15_final
2023-11-17 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-11-17_final
2023-11-20 10:36:29	ga_ls8c_ard_3-2-1_103073_2023-11-20_final
2023-11-21 09:45:15	ga_ls8c_ard_3-2-1_094084_2023-11-21_final
2023-11-22 10:23:44	ga_ls8c_ard_3-2-1_101072_2023-11-22_final
2023-11-24 10:15:22	ga_ls8c_ard_3-2-1_099082_2023-11-24_final
2023-11-25 10:57:26	ga_ls8c_ard_3-2-1_106079_2023-11-25_final
2023-12-02 11:04:20	ga_ls8c_ard_3-2-1_107081_2023-12-02_final
2023-12-04 10:47:33	ga_ls8c_ard_3-2-1_105070_2023-12-04_final
2023-12-04 10:48:21	ga_ls8c_ard_3-2-1_105072_2023-12-04_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-08 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-12-08_final
2023-12-08 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-12-08_final
2023-12-09 11:06:52	ga_ls8c_ard_3-2-1_108072_2023-12-09_final
2023-12-12 11:41:48	ga_ls8c_ard_3-2-1_113082_2023-12-12_final
2023-12-13 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-13_final
2023-12-18 11:01:11	ga_ls8c_ard_3-2-1_107073_2023-12-18_final
2023-12-21 09:55:12	ga_ls8c_ard_3-2-1_096078_2023-12-21_final
2023-12-23 11:23:19	ga_ls8c_ard_3-2-1_110082_2023-12-23_final
2023-12-27 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-12-26_final
2023-12-28 11:41:01	ga_ls8c_ard_3-2-1_113080_2023-12-28_final
2024-01-01 09:36:10	ga_ls8c_ard_3-2-1_093077_2024-01-01_final
2024-01-05 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-01-05_final
2024-01-09 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-01-09_final
2024-01-10 11:11:15	ga_ls8c_ard_3-2-1_108083_2024-01-10_final
2024-01-14 10:44:09	ga_ls8c_ard_3-2-1_104077_2024-01-14_final
2024-01-14 10:44:33	ga_ls8c_ard_3-2-1_104078_2024-01-14_final
2024-01-19 09:25:23	ga_ls8c_ard_3-2-1_091081_2024-01-18_final
2024-01-21 09:15:00	ga_ls8c_ard_3-2-1_089086_2024-01-20_final
2024-01-22 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-22_final
2024-01-28 10:56:24	ga_ls8c_ard_3-2-1_106077_2024-01-28_final
2024-01-30 10:43:40	ga_ls8c_ard_3-2-1_104076_2024-01-30_final
2024-02-02 11:16:59	ga_ls8c_ard_3-2-1_109082_2024-02-02_final
2024-02-03 10:21:23	ga_ls8c_ard_3-2-1_100082_2024-02-03_final
2024-02-08 10:37:33	ga_ls8c_ard_3-2-1_103076_2024-02-08_final
2024-02-11 11:08:26	ga_ls8c_ard_3-2-1_108076_2024-02-11_final
2024-02-13 09:20:23	ga_ls8c_ard_3-2-1_090084_2024-02-12_final
2024-02-29 10:54:22	ga_ls8c_ard_3-2-1_106072_2024-02-29_final
2024-03-05 09:36:44	ga_ls8c_ard_3-2-1_093079_2024-03-05_final
2024-03-07 09:24:20	ga_ls8c_ard_3-2-1_091079_2024-03-06_final
2024-03-08 10:06:24	ga_ls8c_ard_3-2-1_098076_2024-03-08_final
2024-03-15 10:11:21	ga_ls8c_ard_3-2-1_099073_2024-03-15_final
2024-03-17 11:40:39	ga_ls8c_ard_3-2-1_113080_2024-03-17_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-05 10:29:16	ga_ls8c_ard_3-2-1_102072_2024-04-05_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_2024-04-06_final
2024-04-07 10:17:42	ga_ls8c_ard_3-2-1_100074_2024-04-07_final
2024-04-07 11:56:59	ga_ls8c_ard_3-2-1_116075_2024-04-07_final
2024-04-09 11:45:25	ga_ls8c_ard_3-2-1_114077_2024-04-09_nrt
2024-04-10 10:47:48	ga_ls8c_ard_3-2-1_105072_2024-04-10_nrt
2024-04-13 09:43:46	ga_ls8c_ard_3-2-1_094082_2024-04-13_nrt
2024-04-20 09:47:04	ga_ls8c_ard_3-2-1_095075_2024-04-20_nrt

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