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
2022-11-29 11:00:20	ga_ls8c_ard_3-2-1_107070_2022-11-29_final
2022-12-01 09:15:04	ga_ls8c_ard_3-2-1_089085_2022-11-30_final
2022-12-02 11:36:49	ga_ls8c_ard_3-2-1_112084_2022-12-02_final
2022-12-05 10:24:03	ga_ls8c_ard_3-2-1_101072_2022-12-05_final
2022-12-05 10:28:02	ga_ls8c_ard_3-2-1_101082_2022-12-05_final
2022-12-06 09:34:00	ga_ls8c_ard_3-2-1_092086_2022-12-06_final
2022-12-15 09:26:57	ga_ls8c_ard_3-2-1_091084_2022-12-14_final
2022-12-23 10:14:41	ga_ls8c_ard_3-2-1_099080_2022-12-23_final
2022-12-24 09:21:04	ga_ls8c_ard_3-2-1_090085_2022-12-23_final
2023-01-08 10:15:31	ga_ls8c_ard_3-2-1_099082_2023-01-08_final
2023-01-10 09:58:21	ga_ls8c_ard_3-2-1_097070_2023-01-10_final
2023-01-18 09:12:23	ga_ls8c_ard_3-2-1_089079_2023-01-17_final
2023-01-23 09:29:24	ga_ls8c_ard_3-2-1_092075_2023-01-22_final
2023-01-24 11:51:34	ga_ls8c_ard_3-2-1_115075_2023-01-24_final
2023-01-25 10:55:33	ga_ls8c_ard_3-2-1_106074_2023-01-25_final
2023-02-01 11:02:33	ga_ls8c_ard_3-2-1_107076_2023-02-01_final
2023-02-03 10:49:23	ga_ls8c_ard_3-2-1_105074_2023-02-03_final
2023-02-10 09:22:13	ga_ls8c_ard_3-2-1_090088_2023-02-09_final
2023-02-12 09:06:38	ga_ls8c_ard_3-2-1_088080_2023-02-11_final
2023-02-17 09:27:54	ga_ls8c_ard_3-2-1_091087_2023-02-16_final
2023-02-23 10:24:23	ga_ls8c_ard_3-2-1_101074_2023-02-23_final
2023-02-24 11:07:13	ga_ls8c_ard_3-2-1_108073_2023-02-24_final
2023-03-01 09:46:28	ga_ls8c_ard_3-2-1_095072_2023-03-01_final
2023-03-10 11:23:52	ga_ls8c_ard_3-2-1_110084_2023-03-10_final
2023-03-12 09:29:50	ga_ls8c_ard_3-2-1_092077_2023-03-11_final
2023-03-16 09:06:17	ga_ls8c_ard_3-2-1_088080_2023-03-15_final
2023-04-02 09:52:09	ga_ls8c_ard_3-2-1_095087_2023-04-02_final
2023-04-04 09:33:22	ga_ls8c_ard_3-2-1_093071_2023-04-04_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-04-06 09:24:33	ga_ls8c_ard_3-2-1_091080_2023-04-05_final
2023-04-09 11:35:04	ga_ls8c_ard_3-2-1_112082_2023-04-09_final
2023-04-11 09:39:23	ga_ls8c_ard_3-2-1_094071_2023-04-11_final
2023-04-13 09:28:13	ga_ls8c_ard_3-2-1_092074_2023-04-12_final
2023-04-19 10:27:59	ga_ls8c_ard_3-2-1_102069_2023-04-19_final
2023-04-24 10:48:55	ga_ls8c_ard_3-2-1_105075_2023-04-24_final
2023-05-02 10:01:01	ga_ls8c_ard_3-2-1_097079_2023-05-02_final
2023-05-02 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-05-02_final
2023-05-20 11:25:22	ga_ls8c_ard_3-2-1_111074_2023-05-20_final
2023-05-24 11:01:04	ga_ls8c_ard_3-2-1_107075_2023-05-24_final
2023-05-26 10:48:19	ga_ls8c_ard_3-2-1_105074_2023-05-26_final
2023-06-02 09:20:48	ga_ls8c_ard_3-2-1_090087_2023-06-01_final
2023-06-05 11:28:38	ga_ls8c_ard_3-2-1_111082_2023-06-05_final
2023-06-06 10:29:26	ga_ls8c_ard_3-2-1_102073_2023-06-06_final
2023-06-06 10:30:14	ga_ls8c_ard_3-2-1_102075_2023-06-06_final
2023-06-08 10:21:29	ga_ls8c_ard_3-2-1_100084_2023-06-08_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-09 11:01:34	ga_ls8c_ard_3-2-1_107076_2023-06-09_final
2023-06-11 09:14:20	ga_ls8c_ard_3-2-1_089086_2023-06-10_final
2023-06-14 11:18:58	ga_ls8c_ard_3-2-1_110073_2023-06-14_final
2023-06-15 10:26:32	ga_ls8c_ard_3-2-1_101081_2023-06-15_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-06-16 11:06:36	ga_ls8c_ard_3-2-1_108073_2023-06-16_final
2023-06-22 10:29:32	ga_ls8c_ard_3-2-1_102073_2023-06-22_final
2023-06-23 11:17:11	ga_ls8c_ard_3-2-1_109084_2023-06-23_final
2023-07-02 09:32:16	ga_ls8c_ard_3-2-1_092084_2023-07-02_final
2023-07-03 10:08:46	ga_ls8c_ard_3-2-1_099067_2023-07-03_final
2023-07-04 10:52:26	ga_ls8c_ard_3-2-1_106068_2023-07-04_final
2023-07-04 10:54:50	ga_ls8c_ard_3-2-1_106074_2023-07-04_final
2023-07-05 11:38:06	ga_ls8c_ard_3-2-1_113074_2023-07-05_final
2023-07-07 11:29:45	ga_ls8c_ard_3-2-1_111084_2023-07-07_final
2023-07-09 09:34:08	ga_ls8c_ard_3-2-1_093073_2023-07-09_final
2023-07-18 09:33:33	ga_ls8c_ard_3-2-1_092087_2023-07-18_final
2023-07-28 10:07:56	ga_ls8c_ard_3-2-1_098080_2023-07-28_final
2023-07-29 10:48:49	ga_ls8c_ard_3-2-1_105074_2023-07-29_final
2023-08-09 10:33:31	ga_ls8c_ard_3-2-1_102082_2023-08-09_final
2023-08-20 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-08-20_final
2023-08-22 10:03:32	ga_ls8c_ard_3-2-1_097084_2023-08-22_final
2023-08-22 10:03:56	ga_ls8c_ard_3-2-1_097085_2023-08-22_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-09-04 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-09-03_final
2023-09-04 11:05:56	ga_ls8c_ard_3-2-1_108070_2023-09-04_final
2023-09-06 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-09-05_final
2023-09-09 11:25:17	ga_ls8c_ard_3-2-1_111072_2023-09-09_final
2023-09-12 11:58:13	ga_ls8c_ard_3-2-1_116077_2023-09-12_final
2023-09-15 09:14:58	ga_ls8c_ard_3-2-1_089086_2023-09-14_final
2023-09-20 09:34:19	ga_ls8c_ard_3-2-1_092088_2023-09-20_final
2023-09-29 09:27:47	ga_ls8c_ard_3-2-1_091087_2023-09-28_final
2023-09-30 10:03:28	ga_ls8c_ard_3-2-1_098068_2023-09-30_final
2023-10-01 10:46:44	ga_ls8c_ard_3-2-1_105068_2023-10-01_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-10-11 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-10-11_final
2023-10-11 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-10-11_final
2023-10-13 09:33:49	ga_ls8c_ard_3-2-1_093071_2023-10-13_final
2023-10-24 09:16:53	ga_ls8c_ard_3-2-1_090075_2023-10-23_final
2023-10-25 10:03:45	ga_ls8c_ard_3-2-1_097084_2023-10-25_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_2023-10-27_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-10-31 09:23:30	ga_ls8c_ard_3-2-1_091076_2023-10-30_final
2023-10-31 09:27:53	ga_ls8c_ard_3-2-1_091087_2023-10-30_final
2023-11-03 11:32:28	ga_ls8c_ard_3-2-1_112074_2023-11-03_final
2023-11-05 11:19:18	ga_ls8c_ard_3-2-1_110072_2023-11-05_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-12 09:46:57	ga_ls8c_ard_3-2-1_095073_2023-11-12_final
2023-11-16 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-11-16_final
2023-11-16 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-11-16_final
2023-11-18 10:46:26	ga_ls8c_ard_3-2-1_105067_2023-11-18_final
2023-11-18 10:46:50	ga_ls8c_ard_3-2-1_105068_2023-11-18_final
2023-11-20 10:34:29	ga_ls8c_ard_3-2-1_103068_2023-11-20_final
2023-11-21 09:46:27	ga_ls8c_ard_3-2-1_094087_2023-11-21_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