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
2014-04-07 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-04-07_final
2014-04-23 11:40:19	ga_ls8c_ard_3-0-0_113079_2014-04-23_final
2014-10-16 11:41:04	ga_ls8c_ard_3-0-0_113080_2014-10-16_final
2014-11-10 11:36:06	ga_ls8c_ard_3-0-0_112083_2014-11-10_final
2015-06-11 11:52:27	ga_ls8c_ard_3-0-0_115080_2015-06-11_final
2016-01-16 11:31:33	ga_ls8c_ard_3-0-0_112072_2016-01-16_final
2016-01-28 11:57:27	ga_ls8c_ard_3-0-0_116075_2016-01-28_final
2016-01-28 11:57:51	ga_ls8c_ard_3-0-0_116076_2016-01-28_final
2016-07-01 11:38:17	ga_ls8c_ard_3-0-0_113074_2016-07-01_final
2017-02-24 11:51:30	ga_ls8c_ard_3-0-0_115076_2017-02-24_final
2017-04-17 11:24:19	ga_ls8c_ard_3-0-0_111071_2017-04-17_final
2017-06-25 11:47:10	ga_ls8c_ard_3-0-0_114081_2017-06-25_final
2017-07-04 11:38:14	ga_ls8c_ard_3-0-0_113074_2017-07-04_final
2017-07-27 11:47:21	ga_ls8c_ard_3-0-0_114081_2017-07-27_final
2017-11-16 11:47:40	ga_ls8c_ard_3-0-0_114081_2017-11-16_final
2018-03-10 11:31:05	ga_ls8c_ard_3-0-0_112072_2018-03-10_final
2018-03-31 11:52:15	ga_ls8c_ard_3-0-0_115079_2018-03-31_final
2018-11-10 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-10_final
2018-11-17 11:57:19	ga_ls8c_ard_3-0-0_116075_2018-11-17_final
2018-11-17 11:57:43	ga_ls8c_ard_3-0-0_116076_2018-11-17_final
2019-06-08 11:41:49	ga_ls8c_ard_3-0-0_113083_2019-06-08_final
2019-06-13 11:57:12	ga_ls8c_ard_3-1-0_116075_2019-06-13_final
2019-07-24 11:53:12	ga_ls8c_ard_3-1-0_115080_2019-07-24_final
2019-09-05 11:36:04	ga_ls8c_ard_3-1-0_112083_2019-09-05_final
2019-11-01 11:26:28	ga_ls8c_ard_3-1-0_111074_2019-11-01_final
2019-11-24 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-11-24_final
2019-12-15 11:53:30	ga_ls8c_ard_3-2-0_115080_2019-12-15_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2019-12-31 11:53:26	ga_ls8c_ard_3-1-0_115080_2019-12-31_final
2020-08-19 09:22:56	ga_ls8c_ard_3-1-0_091075_2020-08-18_final
2020-10-16 11:37:59	ga_ls8c_ard_3-1-0_113072_2020-10-16_final
2020-11-22 10:21:37	ga_ls8c_ard_3-1-0_100082_2020-11-22_final
2020-12-23 09:34:46	ga_ls8c_ard_3-2-0_093073_2020-12-23_final
2021-01-01 09:29:20	ga_ls8c_ard_3-2-0_092075_2020-12-31_final
2021-01-10 11:02:23	ga_ls8c_ard_3-2-0_107076_2021-01-10_final
2021-01-12 10:46:25	ga_ls8c_ard_3-2-0_105067_2021-01-12_final
2021-03-01 09:12:54	ga_ls8c_ard_3-2-0_089081_2021-02-28_final
2021-03-17 10:48:50	ga_ls8c_ard_3-2-0_105074_2021-03-17_final
2021-04-01 11:44:24	ga_ls8c_ard_3-2-0_114074_2021-04-01_final
2021-04-21 09:40:40	ga_ls8c_ard_3-2-0_094074_2021-04-21_final
2021-05-13 09:07:05	ga_ls8c_ard_3-2-0_088083_2021-05-12_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-06-18 10:21:57	ga_ls8c_ard_3-2-0_100084_2021-06-18_final
2021-07-12 11:07:27	ga_ls8c_ard_3-2-0_108074_2021-07-12_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-08-18 11:29:26	ga_ls8c_ard_3-2-0_111082_2021-08-18_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-09-03 11:25:55	ga_ls8c_ard_3-2-0_111073_2021-09-03_final
2021-09-07 09:22:20	ga_ls8c_ard_3-2-0_091073_2021-09-06_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-10-24 10:19:44	ga_ls8c_ard_3-2-0_100077_2021-10-24_final
2021-11-22 09:45:57	ga_ls8c_ard_3-2-0_095070_2021-11-22_final
2022-01-08 10:40:40	ga_ls8c_ard_3-2-1_104068_2022-01-08_final
2022-01-11 11:15:09	ga_ls8c_ard_3-2-1_109077_2022-01-11_final
2022-01-12 10:19:32	ga_ls8c_ard_3-2-1_100077_2022-01-12_final
2022-01-28 11:57:31	ga_ls8c_ard_3-2-1_116075_2022-01-28_final
2022-02-12 09:40:32	ga_ls8c_ard_3-2-1_093088_2022-02-12_final
2022-02-26 11:26:07	ga_ls8c_ard_3-2-1_111074_2022-02-26_final
2022-03-19 10:07:14	ga_ls8c_ard_3-2-1_098078_2022-03-19_final
2022-03-22 10:34:30	ga_ls8c_ard_3-2-1_103069_2022-03-22_final
2022-04-03 09:24:37	ga_ls8c_ard_3-2-1_091080_2022-04-02_final
2022-04-06 09:57:33	ga_ls8c_ard_3-2-1_096085_2022-04-06_final
2022-04-29 09:57:19	ga_ls8c_ard_3-2-1_097069_2022-04-29_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-09-19 10:56:14	ga_ls8c_ard_3-2-1_106075_2022-09-19_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-11-06 10:56:37	ga_ls8c_ard_3-2-1_106076_2022-11-06_final
2022-11-18 09:44:43	ga_ls8c_ard_3-2-1_094082_2022-11-18_final
2022-11-21 11:53:20	ga_ls8c_ard_3-2-1_115079_2022-11-21_final
2022-12-04 09:44:46	ga_ls8c_ard_3-2-1_094082_2022-12-04_final
2022-12-23 11:53:35	ga_ls8c_ard_3-2-1_115080_2022-12-23_final
2022-12-26 09:07:56	ga_ls8c_ard_3-2-1_088083_2022-12-25_final
2022-12-30 10:19:43	ga_ls8c_ard_3-2-1_100077_2022-12-30_final
2023-01-18 10:47:17	ga_ls8c_ard_3-2-1_105069_2023-01-18_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-02-12 10:42:44	ga_ls8c_ard_3-2-1_104073_2023-02-12_final
2023-02-18 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-02-18_final
2023-03-03 11:12:58	ga_ls8c_ard_3-2-1_109072_2023-03-03_final
2023-03-31 09:59:21	ga_ls8c_ard_3-2-1_097074_2023-03-31_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-04-27 11:23:48	ga_ls8c_ard_3-2-1_110085_2023-04-27_final
2023-07-04 10:55:37	ga_ls8c_ard_3-2-1_106076_2023-07-04_final
2023-07-10 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-07-10_final
2023-07-10 11:57:29	ga_ls8c_ard_3-2-1_116076_2023-07-10_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-08-23 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-08-22_final
2023-08-28 09:22:05	ga_ls8c_ard_3-2-1_091073_2023-08-27_final
2023-09-23 10:03:37	ga_ls8c_ard_3-2-1_097084_2023-09-23_final
2023-10-08 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-10-08_final
2023-10-24 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-10-24_final
2023-11-11 10:42:34	ga_ls8c_ard_3-2-1_104073_2023-11-11_final
2023-12-03 10:03:31	ga_ls8c_ard_3-2-1_098068_2023-12-03_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2023-12-27 09:23:17	ga_ls8c_ard_3-2-1_090091_2023-12-26_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-02-29 10:55:34	ga_ls8c_ard_3-2-1_106075_2024-02-29_final
2024-03-09 10:49:40	ga_ls8c_ard_3-2-1_105076_2024-03-09_final
2024-03-12 11:19:21	ga_ls8c_ard_3-2-1_110073_2024-03-12_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