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
2020-03-21 12:31:05	ga_ls8c_ard_3-2-1_122067_2020-03-21_final
2022-07-07 11:57:38	ga_ls8c_ard_3-2-1_116075_2022-07-07_final
2022-07-23 11:57:43	ga_ls8c_ard_3-2-1_116075_2022-07-23_final
2022-09-12 09:16:19	ga_ls8c_ard_3-2-1_089088_2022-09-11_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-09 11:42:35	ga_ls8c_ard_3-2-1_113084_2023-10-09_final
2023-11-10 11:42:33	ga_ls8c_ard_3-2-1_113084_2023-11-10_final
2023-11-14 09:35:01	ga_ls8c_ard_3-2-1_093074_2023-11-14_final
2023-11-14 11:15:30	ga_ls8c_ard_3-2-1_109078_2023-11-14_final
2023-11-15 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-11-15_final
2023-11-16 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-11-16_final
2023-11-17 10:08:21	ga_ls8c_ard_3-2-1_098080_2023-11-17_final
2023-11-17 11:46:50	ga_ls8c_ard_3-2-1_114079_2023-11-17_final
2023-11-19 09:55:12	ga_ls8c_ard_3-2-1_096078_2023-11-19_final
2023-11-20 10:36:53	ga_ls8c_ard_3-2-1_103074_2023-11-20_final
2023-11-20 10:38:28	ga_ls8c_ard_3-2-1_103078_2023-11-20_final
2023-11-23 11:10:35	ga_ls8c_ard_3-2-1_108081_2023-11-23_final
2023-11-26 09:59:25	ga_ls8c_ard_3-2-1_097073_2023-11-26_final
2023-11-26 10:01:48	ga_ls8c_ard_3-2-1_097079_2023-11-26_final
2023-11-26 11:41:05	ga_ls8c_ard_3-2-1_113080_2023-11-26_final
2023-11-30 09:35:51	ga_ls8c_ard_3-2-1_093076_2023-11-30_final
2023-12-03 10:05:30	ga_ls8c_ard_3-2-1_098073_2023-12-03_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-05 11:35:35	ga_ls8c_ard_3-2-1_112082_2023-12-05_final
2023-12-08 10:24:23	ga_ls8c_ard_3-2-1_101074_2023-12-08_final
2023-12-08 10:27:34	ga_ls8c_ard_3-2-1_101082_2023-12-08_final
2023-12-09 11:06:52	ga_ls8c_ard_3-2-1_108072_2023-12-09_final
2023-12-09 11:08:27	ga_ls8c_ard_3-2-1_108076_2023-12-09_final
2023-12-12 11:42:36	ga_ls8c_ard_3-2-1_113084_2023-12-12_final
2023-12-14 09:49:22	ga_ls8c_ard_3-2-1_095079_2023-12-14_final
2023-12-15 10:31:27	ga_ls8c_ard_3-2-1_102076_2023-12-15_final
2023-12-16 09:37:26	ga_ls8c_ard_3-2-1_093080_2023-12-16_final
2023-12-16 11:12:20	ga_ls8c_ard_3-2-1_109070_2023-12-16_final
2023-12-22 10:35:40	ga_ls8c_ard_3-2-1_103071_2023-12-22_final
2023-12-22 10:37:40	ga_ls8c_ard_3-2-1_103076_2023-12-22_final
2023-12-22 10:38:04	ga_ls8c_ard_3-2-1_103077_2023-12-22_final
2023-12-23 09:42:26	ga_ls8c_ard_3-2-1_094077_2023-12-23_final
2023-12-25 09:32:04	ga_ls8c_ard_3-2-1_092082_2023-12-25_final
2023-12-25 11:05:45	ga_ls8c_ard_3-2-1_108069_2023-12-25_final
2023-12-25 11:06:57	ga_ls8c_ard_3-2-1_108072_2023-12-25_final
2023-12-27 09:22:53	ga_ls8c_ard_3-2-1_090090_2023-12-26_final
2023-12-28 10:02:32	ga_ls8c_ard_3-2-1_097081_2023-12-28_final
2023-12-28 11:41:01	ga_ls8c_ard_3-2-1_113080_2023-12-28_final
2023-12-31 10:31:24	ga_ls8c_ard_3-2-1_102076_2023-12-31_final
2024-01-03 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-02_final
2024-01-07 10:38:20	ga_ls8c_ard_3-2-1_103078_2024-01-07_final
2024-01-10 09:31:58	ga_ls8c_ard_3-2-1_092082_2024-01-10_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-10 11:10:27	ga_ls8c_ard_3-2-1_108081_2024-01-10_final
2024-01-12 10:57:18	ga_ls8c_ard_3-2-1_106079_2024-01-12_final
2024-01-15 11:27:25	ga_ls8c_ard_3-2-1_111077_2024-01-15_final
2024-01-22 11:35:32	ga_ls8c_ard_3-2-1_112082_2024-01-22_final
2024-01-28 10:57:12	ga_ls8c_ard_3-2-1_106079_2024-01-28_final
2024-02-01 10:31:19	ga_ls8c_ard_3-2-1_102076_2024-02-01_final
2024-02-04 09:25:22	ga_ls8c_ard_3-2-1_091081_2024-02-03_final
2024-02-04 11:01:03	ga_ls8c_ard_3-2-1_107073_2024-02-04_final
2024-02-04 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-02-04_final
2024-02-05 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-02-05_final
2024-02-07 11:35:10	ga_ls8c_ard_3-2-1_112081_2024-02-07_final
2024-02-11 11:05:39	ga_ls8c_ard_3-2-1_108069_2024-02-11_final
2024-02-11 11:08:26	ga_ls8c_ard_3-2-1_108076_2024-02-11_final
2024-02-11 11:10:26	ga_ls8c_ard_3-2-1_108081_2024-02-11_final
2024-02-13 09:20:23	ga_ls8c_ard_3-2-1_090084_2024-02-12_final
2024-02-15 10:43:41	ga_ls8c_ard_3-2-1_104076_2024-02-15_final
2024-02-18 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-18_final
2024-02-19 11:58:39	ga_ls8c_ard_3-2-1_116078_2024-02-19_final
2024-02-21 11:45:29	ga_ls8c_ard_3-2-1_114076_2024-02-21_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-25 09:41:03	ga_ls8c_ard_3-2-1_094074_2024-02-25_final
2024-02-25 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-02-25_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-27 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-02-27_final
2024-02-27 11:10:21	ga_ls8c_ard_3-2-1_108081_2024-02-27_final
2024-03-01 10:01:56	ga_ls8c_ard_3-2-1_097080_2024-03-01_final
2024-03-02 10:41:11	ga_ls8c_ard_3-2-1_104070_2024-03-02_final
2024-03-03 09:48:44	ga_ls8c_ard_3-2-1_095078_2024-03-03_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-07 09:24:20	ga_ls8c_ard_3-2-1_091079_2024-03-06_final
2024-03-07 09:25:32	ga_ls8c_ard_3-2-1_091082_2024-03-06_final
2024-03-09 10:51:15	ga_ls8c_ard_3-2-1_105080_2024-03-09_final
2024-03-10 11:34:55	ga_ls8c_ard_3-2-1_112081_2024-03-10_final
2024-03-11 10:36:54	ga_ls8c_ard_3-2-1_103075_2024-03-11_final
2024-03-11 10:37:18	ga_ls8c_ard_3-2-1_103076_2024-03-11_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-17 10:00:58	ga_ls8c_ard_3-2-1_097078_2024-03-17_final
2024-03-18 10:42:37	ga_ls8c_ard_3-2-1_104074_2024-03-18_final
2024-03-21 09:36:35	ga_ls8c_ard_3-2-1_093079_2024-03-21_final
2024-03-21 09:37:23	ga_ls8c_ard_3-2-1_093081_2024-03-21_final
2024-03-21 09:38:11	ga_ls8c_ard_3-2-1_093083_2024-03-21_final
2024-03-25 10:50:16	ga_ls8c_ard_3-2-1_105078_2024-03-25_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-03-30 11:05:09	ga_ls8c_ard_3-2-1_108069_2024-03-30_final
2024-03-31 10:15:55	ga_ls8c_ard_3-2-1_099085_2024-03-31_final
2024-04-01 09:19:54	ga_ls8c_ard_3-2-1_090084_2024-03-31_final
2024-04-05 10:30:28	ga_ls8c_ard_3-2-1_102075_2024-04-05_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_2024-04-06_final
2024-04-07 11:58:11	ga_ls8c_ard_3-2-1_116078_2024-04-07_final
2024-04-08 10:59:22	ga_ls8c_ard_3-2-1_107070_2024-04-08_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