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
2013-12-30 10:10:09	ga_ls8c_ard_3-2-1_099066_2013-12-30_final
2014-10-14 10:08:57	ga_ls8c_ard_3-2-1_099066_2014-10-14_final
2015-12-08 08:10:50	ga_ls8c_ard_3-2-1_079080_2015-12-07_final
2024-03-13 10:24:31	ga_ls8c_ard_3-2-1_101075_2024-03-13_final
2024-03-16 09:18:31	ga_ls8c_ard_3-2-1_090080_2024-03-15_final
2024-03-17 09:59:46	ga_ls8c_ard_3-2-1_097075_2024-03-17_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-18 10:44:37	ga_ls8c_ard_3-2-1_104079_2024-03-18_final
2024-03-19 09:50:10	ga_ls8c_ard_3-2-1_095082_2024-03-19_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-21 09:39:47	ga_ls8c_ard_3-2-1_093087_2024-03-21_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_final
2024-03-23 10:59:29	ga_ls8c_ard_3-2-1_107070_2024-03-23_final
2024-03-24 10:08:37	ga_ls8c_ard_3-2-1_098082_2024-03-24_final
2024-03-26 09:55:48	ga_ls8c_ard_3-2-1_096081_2024-03-26_final
2024-03-26 11:33:06	ga_ls8c_ard_3-2-1_112077_2024-03-26_final
2024-03-26 11:33:30	ga_ls8c_ard_3-2-1_112078_2024-03-26_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_final
2024-03-28 09:45:00	ga_ls8c_ard_3-2-1_094085_2024-03-28_final
2024-03-29 10:23:53	ga_ls8c_ard_3-2-1_101074_2024-03-29_final
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-04-01 09:21:30	ga_ls8c_ard_3-2-1_090088_2024-03-31_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-04 09:51:12	ga_ls8c_ard_3-2-1_095085_2024-04-04_final
2024-04-04 11:24:54	ga_ls8c_ard_3-2-1_111072_2024-04-04_final
2024-04-08 09:23:41	ga_ls8c_ard_3-2-1_091078_2024-04-07_final
2024-04-08 09:25:16	ga_ls8c_ard_3-2-1_091082_2024-04-07_final
2024-04-08 10:59:22	ga_ls8c_ard_3-2-1_107070_2024-04-08_final
2024-04-08 11:03:21	ga_ls8c_ard_3-2-1_107080_2024-04-08_final
2024-04-08 11:04:57	ga_ls8c_ard_3-2-1_107084_2024-04-08_final
2024-04-09 10:08:32	ga_ls8c_ard_3-2-1_098082_2024-04-09_final
2024-04-09 11:44:37	ga_ls8c_ard_3-2-1_114075_2024-04-09_final
2024-04-10 10:45:48	ga_ls8c_ard_3-2-1_105067_2024-04-10_final
2024-04-10 10:46:36	ga_ls8c_ard_3-2-1_105069_2024-04-10_final
2024-04-10 10:48:59	ga_ls8c_ard_3-2-1_105075_2024-04-10_final
2024-04-11 09:55:45	ga_ls8c_ard_3-2-1_096081_2024-04-11_final
2024-04-11 09:56:57	ga_ls8c_ard_3-2-1_096084_2024-04-11_final
2024-04-11 11:33:03	ga_ls8c_ard_3-2-1_112077_2024-04-11_final
2024-04-12 10:37:25	ga_ls8c_ard_3-2-1_103077_2024-04-12_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-14 10:25:50	ga_ls8c_ard_3-2-1_101079_2024-04-14_final
2024-04-15 09:30:59	ga_ls8c_ard_3-2-1_092081_2024-04-15_final
2024-04-15 09:32:35	ga_ls8c_ard_3-2-1_092085_2024-04-15_final
2024-04-15 11:06:41	ga_ls8c_ard_3-2-1_108073_2024-04-15_final
2024-04-16 10:13:50	ga_ls8c_ard_3-2-1_099080_2024-04-16_final
2024-04-17 10:56:17	ga_ls8c_ard_3-2-1_106078_2024-04-17_final
2024-04-17 10:58:17	ga_ls8c_ard_3-2-1_106083_2024-04-17_final
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_final
2024-04-18 11:38:20	ga_ls8c_ard_3-2-1_113075_2024-04-18_final
2024-04-18 11:40:19	ga_ls8c_ard_3-2-1_113080_2024-04-18_final
2024-04-20 09:47:51	ga_ls8c_ard_3-2-1_095077_2024-04-20_final
2024-04-21 10:31:55	ga_ls8c_ard_3-2-1_102079_2024-04-21_final
2024-04-22 09:37:06	ga_ls8c_ard_3-2-1_093081_2024-04-22_final
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_final
2024-04-23 10:17:58	ga_ls8c_ard_3-2-1_100075_2024-04-23_final
2024-04-24 09:25:32	ga_ls8c_ard_3-2-1_091083_2024-04-23_final
2024-04-24 09:27:31	ga_ls8c_ard_3-2-1_091088_2024-04-23_final
2024-04-24 11:00:25	ga_ls8c_ard_3-2-1_107073_2024-04-24_final
2024-04-25 10:08:23	ga_ls8c_ard_3-2-1_098082_2024-04-25_final
2024-04-26 10:46:03	ga_ls8c_ard_3-2-1_105068_2024-04-26_final
2024-04-27 09:53:12	ga_ls8c_ard_3-2-1_096075_2024-04-27_final
2024-04-27 11:32:53	ga_ls8c_ard_3-2-1_112077_2024-04-27_final
2024-04-27 11:35:17	ga_ls8c_ard_3-2-1_112083_2024-04-27_final
2024-05-01 09:30:24	ga_ls8c_ard_3-2-1_092080_2024-05-01_final
2024-05-01 11:06:29	ga_ls8c_ard_3-2-1_108073_2024-05-01_final
2024-05-01 11:07:17	ga_ls8c_ard_3-2-1_108075_2024-05-01_final
2024-05-03 10:56:06	ga_ls8c_ard_3-2-1_106078_2024-05-03_final
2024-05-04 11:38:10	ga_ls8c_ard_3-2-1_113075_2024-05-04_final
2024-05-04 11:39:46	ga_ls8c_ard_3-2-1_113079_2024-05-04_final
2024-05-04 11:41:21	ga_ls8c_ard_3-2-1_113083_2024-05-04_final
2024-05-05 10:40:09	ga_ls8c_ard_3-2-1_104069_2024-05-05_final
2024-05-05 10:42:08	ga_ls8c_ard_3-2-1_104074_2024-05-05_final
2024-05-06 09:49:42	ga_ls8c_ard_3-2-1_095082_2024-05-06_final
2024-05-07 10:30:34	ga_ls8c_ard_3-2-1_102076_2024-05-07_final
2024-05-07 10:31:45	ga_ls8c_ard_3-2-1_102079_2024-05-07_final
2024-05-08 09:37:19	ga_ls8c_ard_3-2-1_093082_2024-05-08_final
2024-05-09 10:16:59	ga_ls8c_ard_3-2-1_100073_2024-05-09_final
2024-05-10 10:59:50	ga_ls8c_ard_3-2-1_107072_2024-05-10_final
2024-05-10 11:00:14	ga_ls8c_ard_3-2-1_107073_2024-05-10_final
2024-05-11 10:09:23	ga_ls8c_ard_3-2-1_098085_2024-05-11_final
2024-05-13 11:31:52	ga_ls8c_ard_3-2-1_112075_2024-05-13_final
2024-05-13 11:32:40	ga_ls8c_ard_3-2-1_112077_2024-05-13_final
2024-05-15 09:40:57	ga_ls8c_ard_3-2-1_094076_2024-05-15_final
2024-05-15 09:42:57	ga_ls8c_ard_3-2-1_094081_2024-05-15_final
2024-05-15 09:44:57	ga_ls8c_ard_3-2-1_094086_2024-05-15_final
2024-05-15 11:21:50	ga_ls8c_ard_3-2-1_110081_2024-05-15_final
2024-05-16 10:23:24	ga_ls8c_ard_3-2-1_101074_2024-05-16_final
2024-05-16 10:25:24	ga_ls8c_ard_3-2-1_101079_2024-05-16_final
2024-05-16 10:25:47	ga_ls8c_ard_3-2-1_101080_2024-05-16_final
2024-05-18 10:11:26	ga_ls8c_ard_3-2-1_099075_2024-05-18_final
2024-05-18 10:13:26	ga_ls8c_ard_3-2-1_099080_2024-05-18_final
2024-05-20 10:03:04	ga_ls8c_ard_3-2-1_097085_2024-05-20_final
2024-05-21 10:41:55	ga_ls8c_ard_3-2-1_104074_2024-05-21_final
2024-05-22 09:47:05	ga_ls8c_ard_3-2-1_095076_2024-05-22_final
2024-05-22 11:25:11	ga_ls8c_ard_3-2-1_111074_2024-05-22_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