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
2018-11-17 08:42:21	ga_ls8c_ard_3-2-1_084082_2018-11-16_final
2020-01-23 08:42:33	ga_ls8c_ard_3-2-1_084082_2020-01-22_final
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2021-03-31 12:37:14	ga_ls8c_ard_3-2-1_123067_2021-03-31_final
2022-10-27 11:58:01	ga_ls8c_ard_3-2-1_116075_2022-10-27_final
2022-11-07 11:43:04	ga_ls8c_ard_3-2-1_113084_2022-11-07_final
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-02-11 11:42:45	ga_ls8c_ard_3-2-1_113084_2023-02-11_final
2023-08-06 11:42:18	ga_ls8c_ard_3-2-1_113084_2023-08-06_final
2023-09-07 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-09-07_final
2023-09-23 10:01:14	ga_ls8c_ard_3-2-1_097078_2023-09-23_final
2023-09-29 09:28:35	ga_ls8c_ard_3-2-1_091089_2023-09-28_final
2023-09-30 10:08:16	ga_ls8c_ard_3-2-1_098080_2023-09-30_final
2023-10-06 11:11:39	ga_ls8c_ard_3-2-1_108084_2023-10-06_final
2023-10-15 11:00:44	ga_ls8c_ard_3-2-1_107072_2023-10-15_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-18 09:57:07	ga_ls8c_ard_3-2-1_096083_2023-10-18_final
2023-10-20 11:24:26	ga_ls8c_ard_3-2-1_110085_2023-10-20_final
2023-10-21 10:24:26	ga_ls8c_ard_3-2-1_101074_2023-10-21_final
2023-10-21 10:24:50	ga_ls8c_ard_3-2-1_101075_2023-10-21_final
2023-10-22 11:09:42	ga_ls8c_ard_3-2-1_108079_2023-10-22_final
2023-10-25 09:59:45	ga_ls8c_ard_3-2-1_097074_2023-10-25_final
2023-10-25 11:41:26	ga_ls8c_ard_3-2-1_113081_2023-10-25_final
2023-10-29 09:35:27	ga_ls8c_ard_3-2-1_093075_2023-10-29_final
2023-10-29 09:39:03	ga_ls8c_ard_3-2-1_093084_2023-10-29_final
2023-10-31 11:03:59	ga_ls8c_ard_3-2-1_107080_2023-10-31_final
2023-10-31 11:04:23	ga_ls8c_ard_3-2-1_107081_2023-10-31_final
2023-11-01 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-01_final
2023-11-01 10:08:21	ga_ls8c_ard_3-2-1_098080_2023-11-01_final
2023-11-02 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-11-01_final
2023-11-02 10:48:01	ga_ls8c_ard_3-2-1_105071_2023-11-02_final
2023-11-05 09:42:01	ga_ls8c_ard_3-2-1_094076_2023-11-05_final
2023-11-07 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-11-07_final
2023-11-07 11:06:07	ga_ls8c_ard_3-2-1_108070_2023-11-07_final
2023-11-10 11:41:46	ga_ls8c_ard_3-2-1_113082_2023-11-10_final
2023-11-17 11:47:14	ga_ls8c_ard_3-2-1_114080_2023-11-17_final
2023-11-19 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-11-19_final
2023-11-20 10:36:53	ga_ls8c_ard_3-2-1_103074_2023-11-20_final
2023-11-20 10:37:41	ga_ls8c_ard_3-2-1_103076_2023-11-20_final
2023-11-26 10:02:12	ga_ls8c_ard_3-2-1_097080_2023-11-26_final
2023-11-28 09:47:50	ga_ls8c_ard_3-2-1_095075_2023-11-28_final
2023-11-28 11:27:07	ga_ls8c_ard_3-2-1_111076_2023-11-28_final
2023-11-30 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-11-30_final
2023-12-04 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-12-04_final
2023-12-05 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-12-05_final
2023-12-09 09:31:58	ga_ls8c_ard_3-2-1_092082_2023-12-09_final
2023-12-09 09:32:22	ga_ls8c_ard_3-2-1_092083_2023-12-09_final
2023-12-11 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-12-10_final
2023-12-12 11:41:48	ga_ls8c_ard_3-2-1_113082_2023-12-12_final
2023-12-14 11:25:04	ga_ls8c_ard_3-2-1_111071_2023-12-14_final
2023-12-22 10:36:52	ga_ls8c_ard_3-2-1_103074_2023-12-22_final
2023-12-23 09:46:26	ga_ls8c_ard_3-2-1_094087_2023-12-23_final
2023-12-23 11:22:55	ga_ls8c_ard_3-2-1_110081_2023-12-23_final
2023-12-25 11:09:45	ga_ls8c_ard_3-2-1_108079_2023-12-25_final
2024-01-01 09:36:34	ga_ls8c_ard_3-2-1_093078_2024-01-01_final
2024-01-04 10:07:49	ga_ls8c_ard_3-2-1_098079_2024-01-04_final
2024-01-06 09:53:04	ga_ls8c_ard_3-2-1_096073_2024-01-06_final
2024-01-06 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-06_final
2024-01-08 09:41:31	ga_ls8c_ard_3-2-1_094075_2024-01-08_final
2024-01-08 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-01-08_final
2024-01-10 11:08:27	ga_ls8c_ard_3-2-1_108076_2024-01-10_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-01-26 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-01-26_final
2024-02-03 10:21:23	ga_ls8c_ard_3-2-1_100082_2024-02-03_final
2024-02-04 09:24:58	ga_ls8c_ard_3-2-1_091080_2024-02-03_final
2024-02-04 09:26:10	ga_ls8c_ard_3-2-1_091083_2024-02-03_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-05 11:45:07	ga_ls8c_ard_3-2-1_114075_2024-02-05_final
2024-02-10 10:23:59	ga_ls8c_ard_3-2-1_101073_2024-02-10_final
2024-02-11 11:05:39	ga_ls8c_ard_3-2-1_108069_2024-02-11_final
2024-02-12 10:12:01	ga_ls8c_ard_3-2-1_099074_2024-02-12_final
2024-02-12 10:15:13	ga_ls8c_ard_3-2-1_099082_2024-02-12_final
2024-02-12 10:16:24	ga_ls8c_ard_3-2-1_099085_2024-02-12_final
2024-02-12 11:51:42	ga_ls8c_ard_3-2-1_115076_2024-02-12_final
2024-02-16 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-02-16_final
2024-02-16 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-02-16_final
2024-02-16 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-02-16_final
2024-02-20 11:04:13	ga_ls8c_ard_3-2-1_107081_2024-02-20_final
2024-02-25 09:44:15	ga_ls8c_ard_3-2-1_094082_2024-02-25_final
2024-02-25 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-02-25_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-02-28 11:52:48	ga_ls8c_ard_3-2-1_115079_2024-02-28_final
2024-02-29 10:54:22	ga_ls8c_ard_3-2-1_106072_2024-02-29_final
2024-03-01 11:41:37	ga_ls8c_ard_3-2-1_113082_2024-03-01_final
2024-03-04 10:30:23	ga_ls8c_ard_3-2-1_102074_2024-03-04_final
2024-03-07 09:25:56	ga_ls8c_ard_3-2-1_091083_2024-03-06_final
2024-03-08 10:07:36	ga_ls8c_ard_3-2-1_098079_2024-03-08_final
2024-03-08 11:44:53	ga_ls8c_ard_3-2-1_114075_2024-03-08_final
2024-03-10 11:33:43	ga_ls8c_ard_3-2-1_112078_2024-03-10_final
2024-03-15 11:50:38	ga_ls8c_ard_3-2-1_115074_2024-03-15_final
2024-03-21 09:36:59	ga_ls8c_ard_3-2-1_093080_2024-03-21_final
2024-03-21 11:14:40	ga_ls8c_ard_3-2-1_109077_2024-03-21_final
2024-03-22 11:57:31	ga_ls8c_ard_3-2-1_116076_2024-03-22_final
2024-03-22 11:58:19	ga_ls8c_ard_3-2-1_116078_2024-03-22_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-30 11:05:09	ga_ls8c_ard_3-2-1_108069_2024-03-30_final
2024-03-30 11:09:32	ga_ls8c_ard_3-2-1_108080_2024-03-30_final
2024-04-05 10:30:04	ga_ls8c_ard_3-2-1_102074_2024-04-05_final
2024-04-06 09:36:27	ga_ls8c_ard_3-2-1_093079_2024-04-06_final
2024-04-08 09:24:05	ga_ls8c_ard_3-2-1_091079_2024-04-07_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