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
2018-09-23 10:08:24	ga_ls8c_ard_3-2-1_099066_2018-09-23_final
2022-02-07 09:23:13	ga_ls8c_ard_3-2-1_090091_2022-02-06_final
2022-03-27 10:52:10	ga_ls8c_ard_3-2-1_106067_2022-03-27_final
2022-08-02 10:52:49	ga_ls8c_ard_3-2-1_106067_2022-08-02_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-01-15 08:42:44	ga_ls8c_ard_3-2-1_084082_2023-01-14_final
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-05-18 11:41:42	ga_ls8c_ard_3-2-1_113084_2023-05-18_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-08-11 11:57:14	ga_ls8c_ard_3-2-1_116075_2023-08-11_final
2023-09-30 11:47:09	ga_ls8c_ard_3-2-1_114080_2023-09-30_final
2023-10-06 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-10-05_final
2023-10-06 11:07:15	ga_ls8c_ard_3-2-1_108073_2023-10-06_final
2023-10-07 10:09:15	ga_ls8c_ard_3-2-1_099067_2023-10-07_final
2023-10-07 10:14:26	ga_ls8c_ard_3-2-1_099080_2023-10-07_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-09 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-10-09_final
2023-10-13 11:14:41	ga_ls8c_ard_3-2-1_109076_2023-10-13_final
2023-10-21 10:27:37	ga_ls8c_ard_3-2-1_101082_2023-10-21_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-23 10:09:18	ga_ls8c_ard_3-2-1_099067_2023-10-23_final
2023-10-24 09:22:28	ga_ls8c_ard_3-2-1_090089_2023-10-23_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-11-01 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-11-01_final
2023-11-02 10:47:13	ga_ls8c_ard_3-2-1_105069_2023-11-02_final
2023-11-05 09:46:00	ga_ls8c_ard_3-2-1_094086_2023-11-05_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_final
2023-11-06 10:28:03	ga_ls8c_ard_3-2-1_101083_2023-11-06_final
2023-11-07 09:29:14	ga_ls8c_ard_3-2-1_092075_2023-11-06_final
2023-11-07 09:33:13	ga_ls8c_ard_3-2-1_092085_2023-11-07_final
2023-11-07 09:34:01	ga_ls8c_ard_3-2-1_092087_2023-11-07_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-09 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-11-08_final
2023-11-10 11:41:22	ga_ls8c_ard_3-2-1_113081_2023-11-10_final
2023-11-11 10:42:58	ga_ls8c_ard_3-2-1_104074_2023-11-11_final
2023-11-12 09:47:21	ga_ls8c_ard_3-2-1_095074_2023-11-12_final
2023-11-14 11:12:42	ga_ls8c_ard_3-2-1_109071_2023-11-14_final
2023-11-14 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-11-14_final
2023-11-16 09:26:40	ga_ls8c_ard_3-2-1_091084_2023-11-15_final
2023-11-19 09:52:01	ga_ls8c_ard_3-2-1_096070_2023-11-19_final
2023-11-21 11:20:33	ga_ls8c_ard_3-2-1_110075_2023-11-21_final
2023-11-23 09:32:30	ga_ls8c_ard_3-2-1_092083_2023-11-23_final
2023-11-25 10:55:50	ga_ls8c_ard_3-2-1_106075_2023-11-25_final
2023-11-29 10:29:29	ga_ls8c_ard_3-2-1_102071_2023-11-29_final
2023-12-05 09:57:54	ga_ls8c_ard_3-2-1_096085_2023-12-05_final
2023-12-08 10:23:59	ga_ls8c_ard_3-2-1_101073_2023-12-08_final
2023-12-08 10:25:35	ga_ls8c_ard_3-2-1_101077_2023-12-08_final
2023-12-14 11:30:15	ga_ls8c_ard_3-2-1_111084_2023-12-14_final
2023-12-15 10:29:27	ga_ls8c_ard_3-2-1_102071_2023-12-15_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-22 10:39:15	ga_ls8c_ard_3-2-1_103080_2023-12-22_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-24 10:25:42	ga_ls8c_ard_3-2-1_101077_2023-12-24_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-28 11:41:49	ga_ls8c_ard_3-2-1_113082_2023-12-28_final
2023-12-30 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-12-30_final
2023-12-30 11:26:39	ga_ls8c_ard_3-2-1_111075_2023-12-30_final
2024-01-01 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-01_final
2024-01-03 11:00:40	ga_ls8c_ard_3-2-1_107072_2024-01-03_final
2024-01-04 10:07:49	ga_ls8c_ard_3-2-1_098079_2024-01-04_final
2024-01-06 11:35:56	ga_ls8c_ard_3-2-1_112083_2024-01-06_final
2024-01-07 10:37:56	ga_ls8c_ard_3-2-1_103077_2024-01-07_final
2024-01-08 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-01-08_final
2024-01-11 10:12:50	ga_ls8c_ard_3-2-1_099076_2024-01-11_final
2024-01-20 10:03:03	ga_ls8c_ard_3-2-1_098067_2024-01-20_final
2024-01-22 09:52:39	ga_ls8c_ard_3-2-1_096072_2024-01-22_final
2024-01-28 09:18:42	ga_ls8c_ard_3-2-1_090080_2024-01-27_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-01-31 09:47:39	ga_ls8c_ard_3-2-1_095075_2024-01-31_final
2024-01-31 11:26:08	ga_ls8c_ard_3-2-1_111074_2024-01-31_final
2024-02-04 09:26:34	ga_ls8c_ard_3-2-1_091084_2024-02-03_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-05 11:44:43	ga_ls8c_ard_3-2-1_114074_2024-02-05_final
2024-02-07 09:53:29	ga_ls8c_ard_3-2-1_096074_2024-02-07_final
2024-02-08 10:37:57	ga_ls8c_ard_3-2-1_103077_2024-02-08_final
2024-02-11 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-02-11_final
2024-02-14 10:01:14	ga_ls8c_ard_3-2-1_097078_2024-02-14_final
2024-02-17 10:31:44	ga_ls8c_ard_3-2-1_102077_2024-02-17_final
2024-02-19 11:57:27	ga_ls8c_ard_3-2-1_116075_2024-02-19_final
2024-02-19 11:57:51	ga_ls8c_ard_3-2-1_116076_2024-02-19_final
2024-02-25 11:19:32	ga_ls8c_ard_3-2-1_110073_2024-02-25_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-02-27 11:05:58	ga_ls8c_ard_3-2-1_108070_2024-02-27_final
2024-02-27 11:10:45	ga_ls8c_ard_3-2-1_108082_2024-02-27_final
2024-03-03 11:29:13	ga_ls8c_ard_3-2-1_111082_2024-03-03_final
2024-03-07 09:24:44	ga_ls8c_ard_3-2-1_091080_2024-03-06_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_final
2024-03-09 09:16:22	ga_ls8c_ard_3-2-1_089090_2024-03-08_final
2024-03-10 11:32:31	ga_ls8c_ard_3-2-1_112075_2024-03-10_final
2024-03-14 11:10:58	ga_ls8c_ard_3-2-1_108083_2024-03-14_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 09:22:06	ga_ls8c_ard_3-2-1_090089_2024-03-15_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-20 10:28:14	ga_ls8c_ard_3-2-1_102069_2024-03-20_final
2024-03-22 11:57:31	ga_ls8c_ard_3-2-1_116076_2024-03-22_final
2024-03-29 10:22:41	ga_ls8c_ard_3-2-1_101071_2024-03-29_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-03-30 11:09:08	ga_ls8c_ard_3-2-1_108079_2024-03-30_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