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
2013-05-23 09:08:46	ga_ls8c_ard_3-1-0_088081_2013-05-22_final
2013-09-29 11:31:09	ga_ls8c_ard_3-0-0_111082_2013-09-29_final
2014-02-13 11:19:10	ga_ls8c_ard_3-0-0_110070_2014-02-13_final
2014-03-01 09:46:51	ga_ls8c_ard_3-0-0_094087_2014-03-01_final
2014-03-07 09:06:54	ga_ls8c_ard_3-0-0_088080_2014-03-06_final
2014-08-11 11:52:51	ga_ls8c_ard_3-0-0_115079_2014-08-11_final
2014-08-31 09:46:53	ga_ls8c_ard_3-0-0_095073_2014-08-31_final
2014-09-30 11:37:48	ga_ls8c_ard_3-0-0_113072_2014-09-30_final
2015-01-15 09:38:15	ga_ls8c_ard_3-0-0_094067_2015-01-15_final
2015-03-18 11:29:28	ga_ls8c_ard_3-0-0_112068_2015-03-18_final
2015-05-17 11:57:12	ga_ls8c_ard_3-0-0_116077_2015-05-17_final
2015-06-15 09:44:53	ga_ls8c_ard_3-0-0_095070_2015-06-15_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-09-26 11:30:40	ga_ls8c_ard_3-0-0_112070_2015-09-26_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2016-01-09 09:44:28	ga_ls8c_ard_3-0-0_095067_2016-01-09_final
2016-09-30 11:20:32	ga_ls8c_ard_3-0-0_110075_2016-09-30_final
2016-10-14 11:29:48	ga_ls8c_ard_3-0-0_112067_2016-10-14_final
2016-12-01 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-12-01_final
2017-01-04 09:42:25	ga_ls8c_ard_3-0-0_094077_2017-01-04_final
2017-02-12 09:51:56	ga_ls8c_ard_3-0-0_095086_2017-02-12_final
2017-06-16 11:50:55	ga_ls8c_ard_3-0-0_115075_2017-06-16_final
2017-07-13 11:35:16	ga_ls8c_ard_3-0-0_112082_2017-07-13_final
2017-11-25 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-11-25_final
2017-12-29 11:23:52	ga_ls8c_ard_3-0-0_111068_2017-12-29_final
2018-01-10 11:52:54	ga_ls8c_ard_3-0-0_115079_2018-01-10_final
2018-07-12 11:56:32	ga_ls8c_ard_3-0-0_116075_2018-07-12_final
2018-07-28 11:57:02	ga_ls8c_ard_3-0-0_116076_2018-07-28_final
2018-08-13 11:56:48	ga_ls8c_ard_3-0-0_116075_2018-08-13_final
2018-09-27 09:45:42	ga_ls8c_ard_3-0-0_095071_2018-09-27_final
2018-11-10 11:52:44	ga_ls8c_ard_3-0-0_115079_2018-11-10_final
2018-11-19 11:41:46	ga_ls8c_ard_3-0-0_114067_2018-11-19_final
2019-04-07 09:46:19	ga_ls8c_ard_3-1-0_095073_2019-04-07_final
2019-05-16 11:29:03	ga_ls8c_ard_3-0-0_112067_2019-05-16_final
2019-06-10 09:44:12	ga_ls8c_ard_3-0-0_095067_2019-06-10_final
2019-06-10 11:23:05	ga_ls8c_ard_3-0-0_111067_2019-06-10_final
2019-07-11 09:07:28	ga_ls8c_ard_3-1-0_088083_2019-07-10_final
2019-08-29 11:24:41	ga_ls8c_ard_3-1-0_111070_2019-08-29_final
2019-09-07 09:45:38	ga_ls8c_ard_3-1-0_094085_2019-09-07_final
2019-10-16 09:46:24	ga_ls8c_ard_3-1-0_095071_2019-10-16_final
2019-11-20 11:58:54	ga_ls8c_ard_3-1-0_116078_2019-11-20_final
2019-12-28 09:45:15	ga_ls8c_ard_3-1-0_094084_2019-12-28_final
2020-01-13 11:19:17	ga_ls8c_ard_3-1-0_110072_2020-01-13_final
2020-02-14 11:18:21	ga_ls8c_ard_3-1-0_110070_2020-02-14_final
2020-04-05 11:51:40	ga_ls8c_ard_3-1-0_115077_2020-04-05_final
2020-07-14 11:23:09	ga_ls8c_ard_3-1-0_111067_2020-07-14_final
2020-08-15 11:23:42	ga_ls8c_ard_3-1-0_111068_2020-08-15_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2021-03-24 09:20:30	ga_ls8c_ard_3-2-0_090085_2021-03-23_final
2021-04-03 11:32:02	ga_ls8c_ard_3-2-0_112074_2021-04-03_final
2021-04-10 11:40:58	ga_ls8c_ard_3-2-0_113081_2021-04-10_final
2021-04-12 11:24:12	ga_ls8c_ard_3-2-0_111070_2021-04-12_final
2021-05-09 09:27:22	ga_ls8c_ard_3-2-0_092072_2021-05-08_final
2021-05-12 11:35:12	ga_ls8c_ard_3-2-0_113067_2021-05-12_final
2021-05-18 09:21:42	ga_ls8c_ard_3-2-0_091073_2021-05-17_final
2021-05-22 10:39:06	ga_ls8c_ard_3-2-0_103081_2021-05-22_final
2021-06-01 11:13:28	ga_ls8c_ard_3-2-0_109074_2021-06-01_final
2021-06-15 09:45:50	ga_ls8c_ard_3-2-0_095071_2021-06-15_final
2021-07-05 09:22:23	ga_ls8c_ard_3-2-0_091074_2021-07-04_final
2021-07-29 10:10:22	ga_ls8c_ard_3-2-0_099070_2021-07-29_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-15 10:53:20	ga_ls8c_ard_3-2-0_106069_2021-08-15_final
2021-08-26 10:39:38	ga_ls8c_ard_3-2-0_103081_2021-08-26_final
2021-10-20 09:07:34	ga_ls8c_ard_3-2-0_088082_2021-10-19_final
2021-10-30 11:19:32	ga_ls8c_ard_3-2-0_110072_2021-10-30_final
2021-11-22 11:26:02	ga_ls8c_ard_3-2-0_111073_2021-11-22_final
2021-12-12 09:22:50	ga_ls8c_ard_3-2-1_091074_2021-12-11_final
2022-01-05 10:13:22	ga_ls8c_ard_3-2-1_099077_2022-01-05_final
2022-02-27 10:33:41	ga_ls8c_ard_3-2-1_102082_2022-02-27_final
2022-04-02 11:57:07	ga_ls8c_ard_3-2-1_116075_2022-04-02_final
2022-04-03 11:03:54	ga_ls8c_ard_3-2-1_107081_2022-04-03_final
2022-05-30 09:23:03	ga_ls8c_ard_3-2-1_090091_2022-05-29_final
2022-06-11 09:45:56	ga_ls8c_ard_3-2-1_094086_2022-06-11_final
2022-07-06 11:14:46	ga_ls8c_ard_3-2-1_109076_2022-07-06_final
2022-09-18 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-09-18_final
2022-10-26 11:15:09	ga_ls8c_ard_3-2-1_109076_2022-10-26_final
2022-11-02 09:44:52	ga_ls8c_ard_3-2-1_094082_2022-11-02_final
2022-11-08 10:45:51	ga_ls8c_ard_3-2-1_104080_2022-11-08_final
2022-11-21 10:14:51	ga_ls8c_ard_3-2-1_099080_2022-11-21_final
2022-11-24 10:45:46	ga_ls8c_ard_3-2-1_104080_2022-11-24_final
2022-12-09 10:04:30	ga_ls8c_ard_3-2-1_097085_2022-12-09_final
2023-01-05 09:41:26	ga_ls8c_ard_3-2-1_094074_2023-01-05_final
2023-01-10 10:04:20	ga_ls8c_ard_3-2-1_097085_2023-01-10_final
2023-01-17 10:09:37	ga_ls8c_ard_3-2-1_098083_2023-01-17_final
2023-01-23 09:33:24	ga_ls8c_ard_3-2-1_092085_2023-01-23_final
2023-01-29 10:28:51	ga_ls8c_ard_3-2-1_102069_2023-01-29_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-02-08 09:34:12	ga_ls8c_ard_3-2-1_092087_2023-02-08_final
2023-06-08 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-06-08_final
2023-08-10 11:13:59	ga_ls8c_ard_3-2-1_109075_2023-08-10_final
2023-08-17 09:44:09	ga_ls8c_ard_3-2-1_094082_2023-08-17_final
2023-08-17 09:45:45	ga_ls8c_ard_3-2-1_094086_2023-08-17_final
2023-09-06 09:21:03	ga_ls8c_ard_3-2-1_090086_2023-09-05_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-11-30 11:16:20	ga_ls8c_ard_3-2-1_109080_2023-11-30_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-02-19 08:42:29	ga_ls8c_ard_3-2-1_084082_2024-02-18_final
2024-02-25 09:42:15	ga_ls8c_ard_3-2-1_094077_2024-02-25_final
2024-02-28 10:11:55	ga_ls8c_ard_3-2-1_099074_2024-02-28_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