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

96 results

Time (local)	Label
2013-03-23 10:56:42	ga_ls8c_ard_3-0-0_106072_2013-03-23_final
2013-08-16 11:06:10	ga_ls8c_ard_3-0-0_107081_2013-08-16_final
2014-05-12 10:28:27	ga_ls8c_ard_3-0-0_102070_2014-05-12_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2014-07-01 10:18:16	ga_ls8c_ard_3-0-0_100075_2014-07-01_final
2014-12-21 11:29:00	ga_ls8c_ard_3-0-0_111081_2014-12-21_final
2015-01-12 10:47:03	ga_ls8c_ard_3-0-0_105069_2015-01-12_final
2015-04-13 10:32:14	ga_ls8c_ard_3-0-0_102080_2015-04-13_final
2015-06-28 10:56:56	ga_ls8c_ard_3-0-0_106080_2015-06-28_final
2015-07-23 09:11:18	ga_ls8c_ard_3-0-0_089078_2015-07-22_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2015-10-11 09:13:44	ga_ls8c_ard_3-0-0_089083_2015-10-10_final
2015-11-30 10:34:48	ga_ls8c_ard_3-0-0_103069_2015-11-30_final
2016-07-01 10:03:48	ga_ls8c_ard_3-0-0_097085_2016-07-01_final
2016-07-10 11:30:35	ga_ls8c_ard_3-0-0_112070_2016-07-10_final
2016-08-06 11:13:45	ga_ls8c_ard_3-0-0_109074_2016-08-06_final
2016-08-08 09:20:07	ga_ls8c_ard_3-0-0_091068_2016-08-07_final
2016-09-02 10:53:23	ga_ls8c_ard_3-0-0_106069_2016-09-02_final
2016-12-20 10:28:07	ga_ls8c_ard_3-0-0_101083_2016-12-20_final
2017-06-24 09:27:01	ga_ls8c_ard_3-0-0_091086_2017-06-23_final
2017-08-26 10:19:23	ga_ls8c_ard_3-0-0_100077_2017-08-26_final
2017-11-04 11:18:12	ga_ls8c_ard_3-0-0_110069_2017-11-04_final
2017-11-07 10:13:24	ga_ls8c_ard_3-0-0_099077_2017-11-07_final
2017-12-02 10:09:29	ga_ls8c_ard_3-0-0_098083_2017-12-02_final
2017-12-02 11:45:10	ga_ls8c_ard_3-0-0_114075_2017-12-02_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2017-12-16 11:58:22	ga_ls8c_ard_3-0-0_116077_2017-12-16_final
2017-12-31 09:37:00	ga_ls8c_ard_3-0-0_093079_2017-12-31_final
2018-01-11 10:52:52	ga_ls8c_ard_3-0-0_106068_2018-01-11_final
2018-04-09 10:08:43	ga_ls8c_ard_3-0-0_098083_2018-04-09_final
2018-04-25 10:08:57	ga_ls8c_ard_3-0-0_098084_2018-04-25_final
2018-04-29 11:19:53	ga_ls8c_ard_3-0-0_110076_2018-04-29_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-06-11 11:00:36	ga_ls8c_ard_3-0-0_107075_2018-06-11_final
2018-06-27 09:21:06	ga_ls8c_ard_3-0-0_091073_2018-06-26_final
2018-10-03 10:48:45	ga_ls8c_ard_3-0-0_105074_2018-10-03_final
2018-10-12 10:40:15	ga_ls8c_ard_3-0-0_104068_2018-10-12_final
2018-10-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2018-10-15_final
2018-11-14 11:26:01	ga_ls8c_ard_3-0-0_111074_2018-11-14_final
2018-11-23 11:23:50	ga_ls8c_ard_3-0-0_110084_2018-11-23_final
2018-12-08 10:35:44	ga_ls8c_ard_3-0-0_103072_2018-12-08_final
2019-01-04 10:21:34	ga_ls8c_ard_3-0-0_100083_2019-01-04_final
2019-01-09 10:35:42	ga_ls8c_ard_3-0-0_103072_2019-01-09_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-04-14 09:57:14	ga_ls8c_ard_3-1-0_096085_2019-04-14_final
2019-05-01 10:38:51	ga_ls8c_ard_3-0-0_103081_2019-05-01_final
2019-05-09 11:24:00	ga_ls8c_ard_3-0-0_111070_2019-05-09_final
2019-06-22 10:10:35	ga_ls8c_ard_3-1-0_099071_2019-06-22_final
2019-09-24 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-09-24_final
2019-11-06 10:07:43	ga_ls8c_ard_3-1-0_098078_2019-11-06_final
2019-11-13 10:15:52	ga_ls8c_ard_3-1-0_099083_2019-11-13_final
2019-11-26 11:23:25	ga_ls8c_ard_3-1-0_110082_2019-11-26_final
2019-12-16 10:55:52	ga_ls8c_ard_3-2-0_106075_2019-12-16_final
2020-02-11 10:46:39	ga_ls8c_ard_3-1-0_105068_2020-02-11_final
2020-02-24 10:22:05	ga_ls8c_ard_3-1-0_100084_2020-02-24_final
2020-03-06 09:59:29	ga_ls8c_ard_3-1-0_097074_2020-03-06_final
2020-03-19 09:33:40	ga_ls8c_ard_3-1-0_092087_2020-03-19_final
2020-05-13 09:33:51	ga_ls8c_ard_3-1-0_093073_2020-05-13_final
2020-06-12 11:24:06	ga_ls8c_ard_3-1-0_111070_2020-06-12_final
2020-08-21 10:49:28	ga_ls8c_ard_3-1-0_105075_2020-08-21_final
2020-10-30 10:10:39	ga_ls8c_ard_3-1-0_099070_2020-10-30_final
2020-12-06 10:32:01	ga_ls8c_ard_3-1-0_102077_2020-12-06_final
2020-12-07 11:12:29	ga_ls8c_ard_3-1-0_109070_2020-12-07_final
2020-12-21 11:25:13	ga_ls8c_ard_3-2-0_111071_2020-12-21_final
2021-02-04 09:22:01	ga_ls8c_ard_3-2-0_090088_2021-02-03_final
2021-02-25 09:34:27	ga_ls8c_ard_3-2-0_093073_2021-02-25_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-06-03 09:22:38	ga_ls8c_ard_3-2-0_091075_2021-06-02_final
2021-06-03 11:05:07	ga_ls8c_ard_3-2-0_107084_2021-06-03_final
2021-07-15 11:35:34	ga_ls8c_ard_3-2-0_113067_2021-07-15_final
2021-07-21 09:25:14	ga_ls8c_ard_3-2-0_091081_2021-07-20_final
2021-07-29 10:10:22	ga_ls8c_ard_3-2-0_099070_2021-07-29_final
2022-02-19 11:19:33	ga_ls8c_ard_3-2-1_110073_2022-02-19_final
2022-02-21 09:28:41	ga_ls8c_ard_3-2-1_092074_2022-02-20_final
2022-03-04 10:49:25	ga_ls8c_ard_3-2-1_105075_2022-03-04_final
2022-04-05 10:48:46	ga_ls8c_ard_3-2-1_105074_2022-04-05_final
2022-04-05 10:49:10	ga_ls8c_ard_3-2-1_105075_2022-04-05_final
2022-04-07 10:39:13	ga_ls8c_ard_3-2-1_103081_2022-04-07_final
2022-04-30 10:45:47	ga_ls8c_ard_3-2-1_104082_2022-04-30_final
2022-06-10 10:35:58	ga_ls8c_ard_3-2-1_103072_2022-06-10_final
2022-07-04 11:24:20	ga_ls8c_ard_3-2-1_111069_2022-07-04_final
2022-07-13 09:44:26	ga_ls8c_ard_3-2-1_094082_2022-07-13_final
2022-08-05 11:30:08	ga_ls8c_ard_3-2-1_111083_2022-08-05_final
2022-09-15 09:46:02	ga_ls8c_ard_3-2-1_094085_2022-09-15_final
2022-11-02 11:20:57	ga_ls8c_ard_3-2-1_110075_2022-11-02_final
2022-11-25 11:27:26	ga_ls8c_ard_3-2-1_111076_2022-11-25_final
2022-12-16 10:03:49	ga_ls8c_ard_3-2-1_098068_2022-12-16_final
2022-12-23 11:52:47	ga_ls8c_ard_3-2-1_115078_2022-12-23_final
2023-01-30 11:14:06	ga_ls8c_ard_3-2-1_109074_2023-01-30_final
2023-04-30 11:51:53	ga_ls8c_ard_3-2-1_115078_2023-04-30_final
2023-05-16 10:15:11	ga_ls8c_ard_3-2-1_099084_2023-05-16_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-08-27 10:17:42	ga_ls8c_ard_3-2-1_100073_2023-08-27_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2024-04-01 09:20:42	ga_ls8c_ard_3-2-1_090086_2024-03-31_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