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
2016-12-07 12:31:35	ga_ls8c_ard_3-2-1_122067_2016-12-07_final
2020-03-21 12:31:05	ga_ls8c_ard_3-2-1_122067_2020-03-21_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2023-07-14 09:56:41	ga_ls8c_ard_3-2-1_096083_2023-07-14_final
2023-07-16 09:41:08	ga_ls8c_ard_3-2-1_094075_2023-07-16_final
2023-07-16 09:41:32	ga_ls8c_ard_3-2-1_094076_2023-07-16_final
2023-07-25 09:38:12	ga_ls8c_ard_3-2-1_093083_2023-07-25_final
2023-07-27 09:23:52	ga_ls8c_ard_3-2-1_091078_2023-07-26_final
2023-08-01 09:41:16	ga_ls8c_ard_3-2-1_094075_2023-08-01_final
2023-08-06 10:02:13	ga_ls8c_ard_3-2-1_097081_2023-08-06_final
2023-08-10 09:35:30	ga_ls8c_ard_3-2-1_093076_2023-08-10_final
2023-08-15 09:52:54	ga_ls8c_ard_3-2-1_096073_2023-08-15_final
2023-08-15 09:53:18	ga_ls8c_ard_3-2-1_096074_2023-08-15_final
2023-08-15 09:56:29	ga_ls8c_ard_3-2-1_096082_2023-08-15_final
2023-08-19 09:31:25	ga_ls8c_ard_3-2-1_092081_2023-08-19_final
2023-08-21 09:18:40	ga_ls8c_ard_3-2-1_090080_2023-08-20_final
2023-08-21 09:19:52	ga_ls8c_ard_3-2-1_090083_2023-08-20_final
2023-08-26 11:14:55	ga_ls8c_ard_3-2-1_109077_2023-08-26_final
2023-09-01 10:39:50	ga_ls8c_ard_3-2-1_103082_2023-09-01_final
2023-09-02 09:41:49	ga_ls8c_ard_3-2-1_094076_2023-09-02_final
2023-09-02 09:44:36	ga_ls8c_ard_3-2-1_094083_2023-09-02_final
2023-09-11 09:38:03	ga_ls8c_ard_3-2-1_093082_2023-09-11_final
2023-09-11 11:17:20	ga_ls8c_ard_3-2-1_109083_2023-09-11_final
2023-09-15 09:15:46	ga_ls8c_ard_3-2-1_089088_2023-09-14_final
2023-09-17 10:37:06	ga_ls8c_ard_3-2-1_103075_2023-09-17_final
2023-09-19 10:26:21	ga_ls8c_ard_3-2-1_101079_2023-09-19_final
2023-09-20 09:30:44	ga_ls8c_ard_3-2-1_092079_2023-09-20_final
2023-09-25 11:27:47	ga_ls8c_ard_3-2-1_111078_2023-09-25_final
2023-09-27 09:36:09	ga_ls8c_ard_3-2-1_093077_2023-09-27_final
2023-09-27 09:37:21	ga_ls8c_ard_3-2-1_093080_2023-09-27_final
2023-09-27 11:16:14	ga_ls8c_ard_3-2-1_109080_2023-09-27_final
2023-10-01 10:51:31	ga_ls8c_ard_3-2-1_105080_2023-10-01_final
2023-10-02 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-10-02_final
2023-10-02 09:56:18	ga_ls8c_ard_3-2-1_096081_2023-10-02_final
2023-10-02 09:56:42	ga_ls8c_ard_3-2-1_096082_2023-10-02_final
2023-10-04 09:41:56	ga_ls8c_ard_3-2-1_094076_2023-10-04_final
2023-10-05 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-10-05_final
2023-10-07 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-10-07_final
2023-10-11 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-10-11_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-15 11:01:08	ga_ls8c_ard_3-2-1_107073_2023-10-15_final
2023-10-15 11:01:08	ga_ls8c_ard_3-2-1_107073_2023-10-15_nrt
2023-10-24 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-10-23_final
2023-10-24 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-10-24_final
2023-10-25 11:40:38	ga_ls8c_ard_3-2-1_113079_2023-10-25_final
2023-10-29 11:15:32	ga_ls8c_ard_3-2-1_109078_2023-10-29_final
2023-10-29 11:16:44	ga_ls8c_ard_3-2-1_109081_2023-10-29_final
2023-11-02 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-11-02_final
2023-11-03 09:56:23	ga_ls8c_ard_3-2-1_096081_2023-11-03_final
2023-11-03 09:56:47	ga_ls8c_ard_3-2-1_096082_2023-11-03_final
2023-11-06 10:22:52	ga_ls8c_ard_3-2-1_101070_2023-11-06_final
2023-11-06 10:27:16	ga_ls8c_ard_3-2-1_101081_2023-11-06_final
2023-11-07 09:30:50	ga_ls8c_ard_3-2-1_092079_2023-11-07_final
2023-11-10 10:02:52	ga_ls8c_ard_3-2-1_097082_2023-11-10_final
2023-11-17 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-11-17_final
2023-11-18 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-18_final
2023-12-02 11:03:56	ga_ls8c_ard_3-2-1_107080_2023-12-02_final
2023-12-05 11:34:47	ga_ls8c_ard_3-2-1_112080_2023-12-05_final
2023-12-07 09:41:30	ga_ls8c_ard_3-2-1_094075_2023-12-07_final
2023-12-07 09:41:54	ga_ls8c_ard_3-2-1_094076_2023-12-07_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-13 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-13_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-18 11:04:22	ga_ls8c_ard_3-2-1_107081_2023-12-18_final
2023-12-19 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-12-19_final
2023-12-21 11:34:53	ga_ls8c_ard_3-2-1_112080_2023-12-21_final
2023-12-30 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-12-30_final
2024-01-02 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-02_final
2024-01-06 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-06_final
2024-01-06 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-06_final
2024-01-06 11:34:44	ga_ls8c_ard_3-2-1_112080_2024-01-06_final
2024-01-13 11:40:34	ga_ls8c_ard_3-2-1_113079_2024-01-13_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-15 11:28:36	ga_ls8c_ard_3-2-1_111080_2024-01-15_final
2024-01-22 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-22_final
2024-01-22 09:55:27	ga_ls8c_ard_3-2-1_096079_2024-01-22_nrt
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_nrt
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_final
2024-01-25 10:24:42	ga_ls8c_ard_3-2-1_101075_2024-01-25_nrt
2024-01-26 09:31:51	ga_ls8c_ard_3-2-1_092082_2024-01-26_final
2024-01-29 10:02:23	ga_ls8c_ard_3-2-1_097081_2024-01-29_final
2024-01-29 11:40:28	ga_ls8c_ard_3-2-1_113079_2024-01-29_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-02-04 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-02-03_final
2024-02-07 11:34:46	ga_ls8c_ard_3-2-1_112080_2024-02-07_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-14 11:40:31	ga_ls8c_ard_3-2-1_113079_2024-02-14_final
2024-02-16 11:27:45	ga_ls8c_ard_3-2-1_111078_2024-02-16_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-03-04 10:32:47	ga_ls8c_ard_3-2-1_102080_2024-03-04_final
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-09 10:50:51	ga_ls8c_ard_3-2-1_105079_2024-03-09_final
2024-04-07 10:20:06	ga_ls8c_ard_3-2-1_100080_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years