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
2013-03-21 11:16:07	ga_ls8c_ard_3-0-0_110067_2013-03-21_final
2013-08-26 11:41:17	ga_ls8c_ard_3-0-0_113076_2013-08-26_final
2013-11-10 10:26:49	ga_ls8c_ard_3-0-0_101076_2013-11-10_final
2014-01-21 11:12:52	ga_ls8c_ard_3-0-0_109069_2014-01-21_final
2014-02-17 10:59:12	ga_ls8c_ard_3-0-0_106082_2014-02-17_final
2014-02-24 11:02:06	ga_ls8c_ard_3-0-0_107074_2014-02-24_final
2014-07-21 11:29:21	ga_ls8c_ard_3-0-0_112067_2014-07-21_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-08-29 11:41:43	ga_ls8c_ard_3-0-0_113082_2014-08-29_final
2015-03-18 11:35:27	ga_ls8c_ard_3-0-0_112083_2015-03-18_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-12-08 11:24:37	ga_ls8c_ard_3-0-0_111070_2015-12-08_final
2016-01-05 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-05_final
2016-01-11 11:13:48	ga_ls8c_ard_3-0-0_109074_2016-01-11_final
2016-01-29 11:00:38	ga_ls8c_ard_3-0-0_107072_2016-01-29_final
2016-02-28 11:12:49	ga_ls8c_ard_3-0-0_109072_2016-02-28_final
2016-04-05 11:29:07	ga_ls8c_ard_3-0-0_112067_2016-04-05_final
2016-06-07 10:46:18	ga_ls8c_ard_3-0-0_105068_2016-06-07_final
2016-08-01 10:52:48	ga_ls8c_ard_3-0-0_106068_2016-08-01_final
2016-09-20 10:43:04	ga_ls8c_ard_3-0-0_104074_2016-09-20_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2017-01-22 11:06:52	ga_ls8c_ard_3-0-0_108072_2017-01-22_final
2017-02-07 11:07:32	ga_ls8c_ard_3-0-0_108074_2017-02-07_final
2017-05-30 11:09:55	ga_ls8c_ard_3-0-0_108081_2017-05-30_final
2017-06-27 11:32:02	ga_ls8c_ard_3-0-0_112074_2017-06-27_final
2017-07-28 10:49:20	ga_ls8c_ard_3-0-0_105075_2017-07-28_final
2017-09-20 11:51:22	ga_ls8c_ard_3-0-0_115075_2017-09-20_final
2017-12-08 11:05:42	ga_ls8c_ard_3-0-0_108069_2017-12-08_final
2018-06-04 10:51:10	ga_ls8c_ard_3-0-0_106067_2018-06-04_final
2018-07-22 10:57:35	ga_ls8c_ard_3-0-0_106082_2018-07-22_final
2019-02-04 11:13:53	ga_ls8c_ard_3-0-0_109075_2019-02-04_final
2019-02-12 10:27:13	ga_ls8c_ard_3-0-0_101082_2019-02-12_final
2019-02-24 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-02-24_final
2019-05-06 10:55:03	ga_ls8c_ard_3-0-0_106075_2019-05-06_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-07-18 10:47:21	ga_ls8c_ard_3-1-0_105070_2019-07-18_final
2019-09-30 11:26:26	ga_ls8c_ard_3-1-0_111074_2019-09-30_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2020-06-17 11:41:30	ga_ls8c_ard_3-1-0_114067_2020-06-17_final
2020-10-29 11:06:16	ga_ls8c_ard_3-1-0_108070_2020-10-29_final
2021-01-12 09:12:19	ga_ls8c_ard_3-2-0_089079_2021-01-11_final
2021-02-07 11:29:23	ga_ls8c_ard_3-2-0_111082_2021-02-07_final
2021-03-17 10:47:14	ga_ls8c_ard_3-2-0_105070_2021-03-17_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-05-11 10:54:43	ga_ls8c_ard_3-2-0_106074_2021-05-11_final
2021-05-14 11:24:04	ga_ls8c_ard_3-2-0_111070_2021-05-14_final
2021-05-18 09:26:53	ga_ls8c_ard_3-2-0_091086_2021-05-17_final
2021-05-26 10:15:36	ga_ls8c_ard_3-2-0_099084_2021-05-26_final
2021-06-08 11:17:42	ga_ls8c_ard_3-2-0_110069_2021-06-08_final
2021-09-21 09:34:20	ga_ls8c_ard_3-2-0_093072_2021-09-21_final
2021-09-21 09:39:32	ga_ls8c_ard_3-2-0_093085_2021-09-21_final
2021-09-24 10:04:51	ga_ls8c_ard_3-2-0_098071_2021-09-24_final
2021-09-29 10:28:13	ga_ls8c_ard_3-2-0_101083_2021-09-29_final
2021-10-11 10:52:36	ga_ls8c_ard_3-2-0_105082_2021-10-11_final
2021-11-09 10:17:42	ga_ls8c_ard_3-2-0_100072_2021-11-09_final
2021-11-19 09:19:25	ga_ls8c_ard_3-2-0_090081_2021-11-18_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2022-01-15 10:50:25	ga_ls8c_ard_3-2-1_105077_2022-01-15_final
2022-02-23 10:55:37	ga_ls8c_ard_3-2-1_106075_2022-02-23_final
2022-03-16 11:14:27	ga_ls8c_ard_3-2-1_109076_2022-03-16_final
2022-03-18 11:01:40	ga_ls8c_ard_3-2-1_107075_2022-03-18_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-07-01 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-06-30_final
2022-07-15 09:34:04	ga_ls8c_ard_3-2-1_092087_2022-07-15_final
2022-08-09 11:05:27	ga_ls8c_ard_3-2-1_107083_2022-08-09_final
2022-08-26 11:46:22	ga_ls8c_ard_3-2-1_114077_2022-08-26_final
2022-09-13 11:32:05	ga_ls8c_ard_3-2-1_112072_2022-09-13_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2022-10-10 11:17:04	ga_ls8c_ard_3-2-1_109081_2022-10-10_final
2022-10-12 11:02:17	ga_ls8c_ard_3-2-1_107075_2022-10-12_final
2022-11-21 10:09:40	ga_ls8c_ard_3-2-1_099067_2022-11-21_final
2022-11-25 11:30:38	ga_ls8c_ard_3-2-1_111084_2022-11-25_final
2022-11-27 11:13:29	ga_ls8c_ard_3-2-1_109072_2022-11-27_final
2022-12-19 10:36:17	ga_ls8c_ard_3-2-1_103072_2022-12-19_final
2022-12-26 10:46:25	ga_ls8c_ard_3-2-1_104082_2022-12-26_final
2023-01-08 10:09:32	ga_ls8c_ard_3-2-1_099067_2023-01-08_final
2023-01-09 10:53:11	ga_ls8c_ard_3-2-1_106068_2023-01-09_final
2023-01-23 09:32:36	ga_ls8c_ard_3-2-1_092083_2023-01-23_final
2023-02-27 11:40:54	ga_ls8c_ard_3-2-1_113080_2023-02-27_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-03-29 11:52:13	ga_ls8c_ard_3-2-1_115078_2023-03-29_final
2023-05-01 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-04-30_final
2023-05-06 11:11:32	ga_ls8c_ard_3-2-1_109070_2023-05-06_final
2023-05-30 10:24:47	ga_ls8c_ard_3-2-1_101077_2023-05-30_final
2023-06-30 09:39:49	ga_ls8c_ard_3-2-1_094072_2023-06-30_final
2023-07-05 11:40:54	ga_ls8c_ard_3-2-1_113081_2023-07-05_final
2023-08-07 09:07:00	ga_ls8c_ard_3-2-1_088082_2023-08-06_final
2023-08-23 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-08-22_final
2023-10-01 09:14:14	ga_ls8c_ard_3-2-1_089084_2023-09-30_final
2023-10-08 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-10-07_final
2023-11-16 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-11-15_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2023-11-18 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-18_final
2024-01-16 10:29:00	ga_ls8c_ard_3-2-1_102070_2024-01-16_final
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_final
2024-01-28 10:55:12	ga_ls8c_ard_3-2-1_106074_2024-01-28_final
2024-02-15 09:07:12	ga_ls8c_ard_3-2-1_088082_2024-02-14_final
2024-02-18 11:14:35	ga_ls8c_ard_3-2-1_109076_2024-02-18_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