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
2013-06-30 11:48:35	ga_ls8c_ard_3-0-0_114079_2013-06-30_final
2013-08-05 09:40:14	ga_ls8c_ard_3-0-0_094067_2013-08-05_final
2013-08-26 11:44:05	ga_ls8c_ard_3-0-0_113083_2013-08-26_final
2014-01-03 09:52:34	ga_ls8c_ard_3-0-0_095084_2014-01-03_final
2014-03-13 11:42:22	ga_ls8c_ard_3-0-0_114067_2014-03-13_final
2014-09-09 09:40:22	ga_ls8c_ard_3-0-0_094072_2014-09-09_final
2015-01-22 09:47:34	ga_ls8c_ard_3-0-0_095075_2015-01-22_final
2015-07-01 09:50:35	ga_ls8c_ard_3-0-0_095084_2015-07-01_final
2015-08-17 09:06:51	ga_ls8c_ard_3-0-0_088082_2015-08-16_final
2015-10-26 11:44:43	ga_ls8c_ard_3-0-0_114074_2015-10-26_final
2016-02-19 09:40:54	ga_ls8c_ard_3-0-0_094074_2016-02-19_final
2016-03-06 09:40:06	ga_ls8c_ard_3-0-0_094072_2016-03-06_final
2016-09-21 09:47:02	ga_ls8c_ard_3-0-0_095073_2016-09-21_final
2016-12-09 09:07:26	ga_ls8c_ard_3-0-0_088082_2016-12-08_final
2016-12-22 11:52:38	ga_ls8c_ard_3-0-0_115078_2016-12-22_final
2017-04-15 11:41:30	ga_ls8c_ard_3-0-0_113083_2017-04-15_final
2017-04-17 09:46:14	ga_ls8c_ard_3-0-0_095073_2017-04-17_final
2017-08-16 09:46:16	ga_ls8c_ard_3-0-0_094087_2017-08-16_final
2017-10-10 09:47:05	ga_ls8c_ard_3-0-0_095073_2017-10-10_final
2017-11-16 11:46:04	ga_ls8c_ard_3-0-0_114077_2017-11-16_final
2018-01-17 11:58:37	ga_ls8c_ard_3-0-0_116078_2018-01-17_final
2018-03-28 09:37:43	ga_ls8c_ard_3-0-0_094067_2018-03-28_final
2018-05-27 11:45:29	ga_ls8c_ard_3-0-0_114079_2018-05-27_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2018-08-03 09:39:32	ga_ls8c_ard_3-0-0_094072_2018-08-03_final
2018-10-13 09:50:37	ga_ls8c_ard_3-0-0_095083_2018-10-13_final
2019-05-08 09:06:37	ga_ls8c_ard_3-0-0_088082_2019-05-07_final
2019-08-29 09:46:36	ga_ls8c_ard_3-1-0_095072_2019-08-29_final
2019-11-22 11:45:20	ga_ls8c_ard_3-1-0_114075_2019-11-22_final
2020-01-16 11:52:34	ga_ls8c_ard_3-1-0_115078_2020-01-16_final
2020-02-05 09:48:04	ga_ls8c_ard_3-1-0_095076_2020-02-05_final
2020-02-10 11:47:04	ga_ls8c_ard_3-1-0_114080_2020-02-10_final
2020-02-12 11:31:31	ga_ls8c_ard_3-1-0_112072_2020-02-12_final
2020-03-08 09:50:18	ga_ls8c_ard_3-1-0_095082_2020-03-08_final
2020-04-18 09:39:24	ga_ls8c_ard_3-1-0_094071_2020-04-18_final
2021-05-17 10:21:18	ga_ls8c_ard_3-2-0_100083_2021-05-17_final
2021-06-08 11:23:17	ga_ls8c_ard_3-2-0_110083_2021-06-08_final
2021-08-05 10:20:11	ga_ls8c_ard_3-2-0_100079_2021-08-05_final
2021-09-02 10:41:04	ga_ls8c_ard_3-2-0_104069_2021-09-02_final
2021-09-16 09:16:59	ga_ls8c_ard_3-2-0_090075_2021-09-15_final
2021-09-28 11:20:38	ga_ls8c_ard_3-2-0_110075_2021-09-28_final
2021-10-17 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-10-17_final
2021-11-03 09:22:18	ga_ls8c_ard_3-2-0_090088_2021-11-02_final
2021-11-15 11:24:39	ga_ls8c_ard_3-2-0_110085_2021-11-15_final
2021-11-24 09:39:35	ga_ls8c_ard_3-2-0_093085_2021-11-24_final
2021-12-08 09:52:45	ga_ls8c_ard_3-2-1_095087_2021-12-08_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-21 10:58:42	ga_ls8c_ard_3-2-1_106082_2021-12-21_final
2021-12-24 11:25:11	ga_ls8c_ard_3-2-1_111071_2021-12-24_final
2022-01-18 11:24:30	ga_ls8c_ard_3-2-1_110085_2022-01-18_final
2022-01-25 11:25:03	ga_ls8c_ard_3-2-1_111071_2022-01-25_final
2022-01-30 10:08:40	ga_ls8c_ard_3-2-1_098081_2022-01-30_final
2022-02-09 10:46:08	ga_ls8c_ard_3-2-1_104082_2022-02-09_final
2022-03-13 10:40:23	ga_ls8c_ard_3-2-1_104068_2022-03-13_final
2022-03-30 11:28:13	ga_ls8c_ard_3-2-1_111080_2022-03-30_final
2022-04-11 10:08:57	ga_ls8c_ard_3-2-1_099067_2022-04-11_final
2022-04-14 10:40:16	ga_ls8c_ard_3-2-1_104068_2022-04-14_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2022-05-15 10:03:29	ga_ls8c_ard_3-2-1_097084_2022-05-15_final
2022-05-22 10:02:54	ga_ls8c_ard_3-2-1_098067_2022-05-22_final
2022-06-02 09:46:25	ga_ls8c_ard_3-2-1_095072_2022-06-02_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-06-11 11:19:14	ga_ls8c_ard_3-2-1_110072_2022-06-11_final
2022-09-09 10:21:29	ga_ls8c_ard_3-2-1_100081_2022-09-09_final
2022-10-26 09:35:04	ga_ls8c_ard_3-2-1_093073_2022-10-26_final
2022-11-21 11:51:20	ga_ls8c_ard_3-2-1_115074_2022-11-21_final
2022-11-27 09:37:48	ga_ls8c_ard_3-2-1_093080_2022-11-27_final
2022-12-11 09:47:20	ga_ls8c_ard_3-2-1_095073_2022-12-11_final
2022-12-25 11:42:26	ga_ls8c_ard_3-2-1_113083_2022-12-25_final
2022-12-26 09:07:32	ga_ls8c_ard_3-2-1_088082_2022-12-25_final
2023-01-16 09:27:34	ga_ls8c_ard_3-2-1_091086_2023-01-15_final
2023-01-23 09:29:48	ga_ls8c_ard_3-2-1_092076_2023-01-22_final
2023-03-03 11:12:10	ga_ls8c_ard_3-2-1_109070_2023-03-03_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-05-17 10:55:14	ga_ls8c_ard_3-2-1_106076_2023-05-17_final
2023-05-26 10:48:19	ga_ls8c_ard_3-2-1_105074_2023-05-26_final
2023-06-01 10:10:02	ga_ls8c_ard_3-2-1_099071_2023-06-01_final
2023-06-05 11:25:27	ga_ls8c_ard_3-2-1_111074_2023-06-05_final
2023-06-11 09:13:08	ga_ls8c_ard_3-2-1_089083_2023-06-10_final
2023-07-19 10:15:37	ga_ls8c_ard_3-2-1_099084_2023-07-19_final
2023-08-02 10:27:43	ga_ls8c_ard_3-2-1_101083_2023-08-02_final
2023-08-13 10:03:38	ga_ls8c_ard_3-2-1_098069_2023-08-13_final
2023-08-29 10:09:44	ga_ls8c_ard_3-2-1_098084_2023-08-29_final
2023-09-24 10:44:30	ga_ls8c_ard_3-2-1_104078_2023-09-24_final
2023-10-06 11:07:15	ga_ls8c_ard_3-2-1_108073_2023-10-06_final
2023-10-07 10:09:39	ga_ls8c_ard_3-2-1_099068_2023-10-07_final
2023-11-09 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-11-08_final
2023-12-04 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-12-03_final
2023-12-04 10:49:09	ga_ls8c_ard_3-2-1_105074_2023-12-04_final
2023-12-17 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-17_final
2024-01-01 11:11:52	ga_ls8c_ard_3-2-1_109069_2024-01-01_final
2024-01-19 11:05:04	ga_ls8c_ard_3-2-1_107083_2024-01-19_final
2024-01-28 09:22:18	ga_ls8c_ard_3-2-1_090089_2024-01-27_final
2024-01-31 11:26:56	ga_ls8c_ard_3-2-1_111076_2024-01-31_final
2024-02-09 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-02-09_final
2024-03-15 10:15:44	ga_ls8c_ard_3-2-1_099084_2024-03-15_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-19 11:24:40	ga_ls8c_ard_3-2-1_111071_2024-03-19_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_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