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
2013-07-05 10:25:28	ga_ls8c_ard_3-1-0_101072_2013-07-05_final
2014-03-24 11:30:01	ga_ls8c_ard_3-1-0_111083_2014-03-24_final
2015-07-16 09:06:17	ga_ls8c_ard_3-1-0_088081_2015-07-15_final
2016-06-21 11:04:18	ga_ls8c_ard_3-1-0_107082_2016-06-21_final
2017-04-30 09:17:11	ga_ls8c_ard_3-1-0_090078_2017-04-29_final
2018-07-14 10:06:54	ga_ls8c_ard_3-1-0_098079_2018-07-14_final
2019-03-08 11:16:57	ga_ls8c_ard_3-1-0_109083_2019-03-08_final
2019-03-10 11:00:36	ga_ls8c_ard_3-1-0_107073_2019-03-10_final
2019-03-14 10:37:02	ga_ls8c_ard_3-1-0_103076_2019-03-14_final
2019-03-23 10:32:50	ga_ls8c_ard_3-1-0_102081_2019-03-23_final
2019-03-31 11:22:39	ga_ls8c_ard_3-1-0_110082_2019-03-31_final
2019-03-31 11:23:26	ga_ls8c_ard_3-1-0_110084_2019-03-31_final
2019-04-07 09:47:07	ga_ls8c_ard_3-1-0_095075_2019-04-07_final
2019-04-13 09:12:23	ga_ls8c_ard_3-1-0_089081_2019-04-12_final
2019-04-13 10:50:28	ga_ls8c_ard_3-1-0_105079_2019-04-13_final
2019-04-16 11:22:09	ga_ls8c_ard_3-1-0_110081_2019-04-16_final
2019-06-17 11:35:42	ga_ls8c_ard_3-1-0_112083_2019-06-17_final
2019-06-29 10:17:12	ga_ls8c_ard_3-1-0_100072_2019-06-29_final
2019-06-30 09:23:35	ga_ls8c_ard_3-1-0_091077_2019-06-29_final
2019-07-10 11:39:58	ga_ls8c_ard_3-1-0_113078_2019-07-10_final
2019-07-14 09:35:35	ga_ls8c_ard_3-1-0_093076_2019-07-14_final
2019-07-14 09:37:35	ga_ls8c_ard_3-1-0_093081_2019-07-14_final
2019-07-14 11:12:28	ga_ls8c_ard_3-1-0_109071_2019-07-14_final
2019-07-27 09:07:33	ga_ls8c_ard_3-1-0_088083_2019-07-26_final
2019-07-30 11:17:21	ga_ls8c_ard_3-1-0_109083_2019-07-30_final
2019-08-02 10:03:48	ga_ls8c_ard_3-1-0_098069_2019-08-02_final
2019-08-05 10:38:19	ga_ls8c_ard_3-1-0_103078_2019-08-05_final
2019-08-24 09:32:02	ga_ls8c_ard_3-1-0_092082_2019-08-24_final
2019-08-29 09:51:23	ga_ls8c_ard_3-1-0_095084_2019-08-29_final
2019-09-01 10:17:54	ga_ls8c_ard_3-1-0_100073_2019-09-01_final
2019-09-02 09:26:16	ga_ls8c_ard_3-1-0_091083_2019-09-01_final
2019-09-03 10:05:09	ga_ls8c_ard_3-1-0_098072_2019-09-03_final
2019-09-03 11:42:02	ga_ls8c_ard_3-1-0_114067_2019-09-03_final
2019-09-09 09:26:30	ga_ls8c_ard_3-1-0_092068_2019-09-08_final
2019-10-06 10:48:35	ga_ls8c_ard_3-1-0_105072_2019-10-06_final
2019-10-06 10:50:34	ga_ls8c_ard_3-1-0_105077_2019-10-06_final
2019-10-14 09:59:57	ga_ls8c_ard_3-1-0_097074_2019-10-14_final
2019-10-16 11:30:28	ga_ls8c_ard_3-1-0_111084_2019-10-16_final
2019-10-17 10:32:03	ga_ls8c_ard_3-1-0_102077_2019-10-17_final
2019-10-21 10:09:20	ga_ls8c_ard_3-1-0_098082_2019-10-21_final
2019-10-21 11:45:25	ga_ls8c_ard_3-1-0_114075_2019-10-21_final
2019-10-27 11:10:20	ga_ls8c_ard_3-1-0_108080_2019-10-27_final
2019-10-28 11:53:36	ga_ls8c_ard_3-1-0_115080_2019-10-28_final
2019-10-29 09:19:53	ga_ls8c_ard_3-1-0_090082_2019-10-28_final
2019-10-30 09:59:57	ga_ls8c_ard_3-1-0_097074_2019-10-30_final
2019-10-30 11:41:14	ga_ls8c_ard_3-1-0_113080_2019-10-30_final
2019-11-15 10:02:42	ga_ls8c_ard_3-1-0_097081_2019-11-15_final
2019-11-16 10:41:58	ga_ls8c_ard_3-1-0_104071_2019-11-16_final
2019-11-21 11:00:53	ga_ls8c_ard_3-1-0_107072_2019-11-21_final
2019-11-25 10:39:21	ga_ls8c_ard_3-1-0_103080_2019-11-25_final
2019-11-26 09:44:32	ga_ls8c_ard_3-1-0_094082_2019-11-26_final
2019-12-03 09:48:19	ga_ls8c_ard_3-1-0_095076_2019-12-03_final
2019-12-30 09:31:17	ga_ls8c_ard_3-1-0_092080_2019-12-30_final
2020-01-04 09:48:12	ga_ls8c_ard_3-1-0_095076_2020-01-04_final
2020-01-13 09:45:12	ga_ls8c_ard_3-1-0_094084_2020-01-13_final
2020-01-14 10:23:40	ga_ls8c_ard_3-1-0_101072_2020-01-14_final
2020-01-15 09:34:49	ga_ls8c_ard_3-1-0_092089_2020-01-15_final
2020-01-25 11:46:45	ga_ls8c_ard_3-1-0_114079_2020-01-25_final
2020-02-03 11:41:43	ga_ls8c_ard_3-1-0_113082_2020-02-03_final
2020-02-06 10:31:19	ga_ls8c_ard_3-1-0_102076_2020-02-06_final
2020-02-15 10:25:07	ga_ls8c_ard_3-1-0_101076_2020-02-15_final
2020-02-23 09:38:26	ga_ls8c_ard_3-1-0_093083_2020-02-23_final
2020-02-24 11:58:11	ga_ls8c_ard_3-1-0_116077_2020-02-24_final
2020-03-01 09:42:59	ga_ls8c_ard_3-1-0_094079_2020-03-01_final
2020-03-07 10:43:56	ga_ls8c_ard_3-1-0_104077_2020-03-07_final
2020-03-16 10:38:05	ga_ls8c_ard_3-1-0_103078_2020-03-16_final
2020-03-17 11:18:33	ga_ls8c_ard_3-1-0_110071_2020-03-17_final
2020-03-17 11:22:56	ga_ls8c_ard_3-1-0_110082_2020-03-17_final
2020-03-19 09:32:29	ga_ls8c_ard_3-1-0_092084_2020-03-19_final
2020-03-22 10:02:09	ga_ls8c_ard_3-1-0_097081_2020-03-22_final
2020-03-22 11:42:14	ga_ls8c_ard_3-1-0_113084_2020-03-22_final
2020-04-14 10:07:21	ga_ls8c_ard_3-1-0_098079_2020-04-14_final
2020-04-17 10:35:50	ga_ls8c_ard_3-1-0_103073_2020-04-17_final
2020-04-17 10:37:26	ga_ls8c_ard_3-1-0_103077_2020-04-17_final
2020-04-21 10:12:16	ga_ls8c_ard_3-1-0_099076_2020-04-21_final
2020-04-22 09:17:51	ga_ls8c_ard_3-1-0_090079_2020-04-21_final
2020-04-22 10:56:43	ga_ls8c_ard_3-1-0_106079_2020-04-22_final
2020-04-24 10:43:33	ga_ls8c_ard_3-1-0_104077_2020-04-24_final
2020-05-06 11:07:45	ga_ls8c_ard_3-1-0_108076_2020-05-06_final
2021-03-30 10:19:53	ga_ls8c_ard_3-2-0_100079_2021-03-30_final
2021-04-05 09:43:58	ga_ls8c_ard_3-2-0_094082_2021-04-05_final
2021-05-02 11:03:41	ga_ls8c_ard_3-2-0_107081_2021-05-02_final
2021-05-06 10:38:07	ga_ls8c_ard_3-2-0_103079_2021-05-06_final
2021-05-12 10:01:54	ga_ls8c_ard_3-2-0_097081_2021-05-12_final
2021-05-16 09:38:26	ga_ls8c_ard_3-2-0_093084_2021-05-16_final
2022-03-29 10:43:22	ga_ls8c_ard_3-2-1_104076_2022-03-29_final
2022-04-04 10:06:41	ga_ls8c_ard_3-2-1_098077_2022-04-04_final
2022-04-04 10:07:53	ga_ls8c_ard_3-2-1_098080_2022-04-04_final
2022-04-22 09:55:11	ga_ls8c_ard_3-2-1_096079_2022-04-22_final
2022-04-22 11:35:16	ga_ls8c_ard_3-2-1_112082_2022-04-22_final
2022-04-24 11:20:54	ga_ls8c_ard_3-2-1_110077_2022-04-24_final
2022-04-28 09:20:27	ga_ls8c_ard_3-2-1_090085_2022-04-27_final
2022-05-08 09:55:15	ga_ls8c_ard_3-2-1_096079_2022-05-08_final
2022-05-20 10:20:26	ga_ls8c_ard_3-2-1_100080_2022-05-20_final
2022-06-04 09:35:17	ga_ls8c_ard_3-2-1_093075_2022-06-04_final
2022-06-05 11:58:38	ga_ls8c_ard_3-2-1_116078_2022-06-05_final
2022-06-13 11:10:05	ga_ls8c_ard_3-2-1_108080_2022-06-13_final
2022-06-20 09:37:27	ga_ls8c_ard_3-2-1_093080_2022-06-20_final
2022-06-20 11:17:32	ga_ls8c_ard_3-2-1_109083_2022-06-20_final
2022-06-27 11:23:20	ga_ls8c_ard_3-2-1_110082_2022-06-27_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