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
2021-05-26 11:51:18	ga_ls8c_ard_3-2-0_115076_2021-05-26_final
2021-06-10 11:09:21	ga_ls8c_ard_3-2-0_108079_2021-06-10_final
2021-06-14 10:40:16	ga_ls8c_ard_3-2-0_104068_2021-06-14_final
2021-06-15 11:28:43	ga_ls8c_ard_3-2-0_111081_2021-06-15_final
2021-06-19 11:00:01	ga_ls8c_ard_3-2-0_107071_2021-06-19_final
2021-06-24 09:45:41	ga_ls8c_ard_3-2-0_094086_2021-06-24_final
2021-06-28 09:19:47	ga_ls8c_ard_3-2-0_090083_2021-06-27_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-04 10:18:48	ga_ls8c_ard_3-2-0_100076_2021-07-04_final
2021-07-05 09:24:47	ga_ls8c_ard_3-2-0_091080_2021-07-04_final
2021-07-07 09:14:01	ga_ls8c_ard_3-2-0_089084_2021-07-06_final
2021-07-14 09:17:48	ga_ls8c_ard_3-2-0_090078_2021-07-13_final
2021-07-15 10:01:04	ga_ls8c_ard_3-2-0_097078_2021-07-15_final
2021-07-22 11:46:36	ga_ls8c_ard_3-2-0_114079_2021-07-22_final
2021-07-29 10:09:34	ga_ls8c_ard_3-2-0_099068_2021-07-29_final
2021-07-29 10:15:09	ga_ls8c_ard_3-2-0_099082_2021-07-29_final
2021-07-30 09:20:20	ga_ls8c_ard_3-2-0_090084_2021-07-29_final
2021-08-06 09:25:22	ga_ls8c_ard_3-2-0_091081_2021-08-05_final
2021-08-06 09:26:58	ga_ls8c_ard_3-2-0_091085_2021-08-05_final
2021-08-08 10:47:07	ga_ls8c_ard_3-2-0_105069_2021-08-08_final
2021-08-09 11:34:46	ga_ls8c_ard_3-2-0_112080_2021-08-09_final
2021-08-13 11:06:29	ga_ls8c_ard_3-2-0_108071_2021-08-13_final
2021-08-14 10:15:39	ga_ls8c_ard_3-2-0_099083_2021-08-14_final
2021-08-15 09:18:02	ga_ls8c_ard_3-2-0_090078_2021-08-14_final
2021-08-16 11:41:23	ga_ls8c_ard_3-2-0_113081_2021-08-16_final
2021-08-22 09:27:27	ga_ls8c_ard_3-2-0_091086_2021-08-21_final
2021-08-27 09:46:00	ga_ls8c_ard_3-2-0_094086_2021-08-27_final
2021-08-27 11:18:54	ga_ls8c_ard_3-2-0_110071_2021-08-27_final
2021-08-27 11:23:18	ga_ls8c_ard_3-2-0_110082_2021-08-27_final
2021-09-04 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-09-04_final
2021-09-07 09:23:56	ga_ls8c_ard_3-2-0_091077_2021-09-06_final
2021-09-14 11:09:49	ga_ls8c_ard_3-2-0_108079_2021-09-14_final
2021-09-15 11:51:05	ga_ls8c_ard_3-2-0_115074_2021-09-15_final
2021-09-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2021-09-16_final
2021-09-21 09:35:32	ga_ls8c_ard_3-2-0_093075_2021-09-21_final
2021-09-23 09:21:59	ga_ls8c_ard_3-2-0_091072_2021-09-22_final
2021-09-23 09:27:10	ga_ls8c_ard_3-2-0_091085_2021-09-22_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2021-10-02 09:19:03	ga_ls8c_ard_3-2-0_090080_2021-10-01_final
2021-10-07 09:35:38	ga_ls8c_ard_3-2-0_093075_2021-10-07_final
2021-10-14 09:46:38	ga_ls8c_ard_3-2-0_094087_2021-10-14_final
2021-10-15 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-15_final
2021-10-19 09:58:48	ga_ls8c_ard_3-2-0_097071_2021-10-19_final
2021-10-21 09:46:26	ga_ls8c_ard_3-2-0_095071_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-21 11:26:55	ga_ls8c_ard_3-2-0_111075_2021-10-21_final
2021-10-21 11:29:43	ga_ls8c_ard_3-2-0_111082_2021-10-21_final
2021-10-25 09:26:30	ga_ls8c_ard_3-2-0_091083_2021-10-24_final
2021-10-25 09:27:18	ga_ls8c_ard_3-2-0_091085_2021-10-24_final
2021-10-26 10:05:23	ga_ls8c_ard_3-2-0_098072_2021-10-26_final
2021-11-03 09:20:43	ga_ls8c_ard_3-2-0_090084_2021-11-02_final
2021-11-03 10:57:12	ga_ls8c_ard_3-2-0_106078_2021-11-03_final
2021-11-08 11:15:43	ga_ls8c_ard_3-2-0_109078_2021-11-08_final
2021-11-12 10:48:59	ga_ls8c_ard_3-2-0_105073_2021-11-12_final
2021-11-12 10:51:46	ga_ls8c_ard_3-2-0_105080_2021-11-12_final
2021-11-18 10:15:03	ga_ls8c_ard_3-2-0_099081_2021-11-18_final
2021-11-19 09:19:01	ga_ls8c_ard_3-2-0_090080_2021-11-18_final
2021-11-24 11:18:04	ga_ls8c_ard_3-2-0_109084_2021-11-24_final
2021-12-09 10:30:49	ga_ls8c_ard_3-2-1_102074_2021-12-09_final
2021-12-13 10:08:29	ga_ls8c_ard_3-2-1_098080_2021-12-13_final
2021-12-19 11:06:17	ga_ls8c_ard_3-2-1_108070_2021-12-19_final
2021-12-23 10:42:44	ga_ls8c_ard_3-2-1_104073_2021-12-23_final
2021-12-24 11:30:23	ga_ls8c_ard_3-2-1_111084_2021-12-24_final
2021-12-26 09:34:20	ga_ls8c_ard_3-2-1_093072_2021-12-26_final
2021-12-30 09:14:22	ga_ls8c_ard_3-2-1_089084_2021-12-29_final
2022-01-03 10:23:44	ga_ls8c_ard_3-2-1_101072_2022-01-03_final
2022-01-03 10:25:44	ga_ls8c_ard_3-2-1_101077_2022-01-03_final
2022-01-07 11:39:29	ga_ls8c_ard_3-2-1_113076_2022-01-07_final
2022-01-08 10:44:40	ga_ls8c_ard_3-2-1_104078_2022-01-08_final
2022-01-13 09:25:30	ga_ls8c_ard_3-2-1_091081_2022-01-12_final
2022-01-14 11:46:27	ga_ls8c_ard_3-2-1_114078_2022-01-14_final
2022-01-18 11:19:43	ga_ls8c_ard_3-2-1_110073_2022-01-18_final
2022-01-18 11:23:18	ga_ls8c_ard_3-2-1_110082_2022-01-18_final
2022-01-19 10:26:05	ga_ls8c_ard_3-2-1_101078_2022-01-19_final
2022-01-21 11:51:00	ga_ls8c_ard_3-2-1_115074_2022-01-21_final
2022-01-23 11:41:01	ga_ls8c_ard_3-2-1_113080_2022-01-23_final
2022-01-23 11:41:25	ga_ls8c_ard_3-2-1_113081_2022-01-23_final
2022-01-24 10:43:47	ga_ls8c_ard_3-2-1_104076_2022-01-24_final
2022-01-25 09:51:21	ga_ls8c_ard_3-2-1_095084_2022-01-25_final
2022-01-30 10:06:41	ga_ls8c_ard_3-2-1_098076_2022-01-30_final
2022-01-30 10:09:04	ga_ls8c_ard_3-2-1_098082_2022-01-30_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-02 10:35:11	ga_ls8c_ard_3-2-1_103070_2022-02-02_final
2022-02-05 09:33:11	ga_ls8c_ard_3-2-1_092085_2022-02-05_final
2022-02-05 11:06:29	ga_ls8c_ard_3-2-1_108071_2022-02-05_final
2022-02-06 10:16:02	ga_ls8c_ard_3-2-1_099084_2022-02-06_final
2022-02-07 09:19:37	ga_ls8c_ard_3-2-1_090082_2022-02-06_final
2022-02-10 11:27:23	ga_ls8c_ard_3-2-1_111077_2022-02-10_final
2022-02-10 11:30:11	ga_ls8c_ard_3-2-1_111084_2022-02-10_final
2022-02-12 09:40:08	ga_ls8c_ard_3-2-1_093087_2022-02-12_final
2022-02-19 09:44:15	ga_ls8c_ard_3-2-1_094082_2022-02-19_final
2022-02-20 10:25:54	ga_ls8c_ard_3-2-1_101078_2022-02-20_final
2022-03-01 10:18:07	ga_ls8c_ard_3-2-1_100074_2022-03-01_final
2022-03-01 11:58:12	ga_ls8c_ard_3-2-1_116077_2022-03-01_final
2022-03-03 10:07:45	ga_ls8c_ard_3-2-1_098079_2022-03-03_final
2022-03-03 11:45:50	ga_ls8c_ard_3-2-1_114077_2022-03-03_final
2022-03-05 09:56:11	ga_ls8c_ard_3-2-1_096081_2022-03-05_final
2022-03-07 11:24:17	ga_ls8c_ard_3-2-1_110085_2022-03-07_final
2022-03-14 09:51:32	ga_ls8c_ard_3-2-1_095085_2022-03-14_final
2022-03-16 11:14:51	ga_ls8c_ard_3-2-1_109077_2022-03-16_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