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

89 results

Time (local)	Label
2013-04-18 10:15:44	ga_ls8c_ard_3-0-0_099079_2013-04-18_final
2013-05-04 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-05-04_final
2013-09-25 10:17:48	ga_ls8c_ard_3-0-0_099084_2013-09-25_final
2013-11-03 10:18:39	ga_ls8c_ard_3-0-0_100071_2013-11-03_final
2013-11-04 11:07:06	ga_ls8c_ard_3-0-0_107084_2013-11-04_final
2014-01-15 11:53:33	ga_ls8c_ard_3-0-0_115078_2014-01-15_final
2014-03-18 10:25:57	ga_ls8c_ard_3-0-0_101077_2014-03-18_final
2014-03-20 11:51:38	ga_ls8c_ard_3-0-0_115075_2014-03-20_final
2014-09-13 09:17:39	ga_ls8c_ard_3-0-0_090077_2014-09-12_final
2014-09-19 10:19:49	ga_ls8c_ard_3-0-0_100078_2014-09-19_final
2014-11-09 09:10:45	ga_ls8c_ard_3-0-0_089075_2014-11-08_final
2014-11-28 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-11-28_final
2014-12-18 09:19:37	ga_ls8c_ard_3-0-0_090082_2014-12-17_final
2014-12-30 11:18:45	ga_ls8c_ard_3-0-0_110071_2014-12-30_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-03-23 10:13:04	ga_ls8c_ard_3-0-0_099078_2015-03-23_final
2015-04-28 09:43:41	ga_ls8c_ard_3-0-0_095067_2015-04-28_final
2015-07-03 09:39:51	ga_ls8c_ard_3-0-0_093088_2015-07-03_final
2016-01-21 10:11:13	ga_ls8c_ard_3-0-0_099072_2016-01-21_final
2016-03-26 09:22:01	ga_ls8c_ard_3-0-0_090089_2016-03-25_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-07-20 10:33:14	ga_ls8c_ard_3-0-0_102081_2016-07-20_final
2017-01-03 10:36:03	ga_ls8c_ard_3-0-0_103072_2017-01-03_final
2017-01-20 11:24:02	ga_ls8c_ard_3-0-0_110084_2017-01-20_final
2017-02-04 10:34:40	ga_ls8c_ard_3-0-0_103069_2017-02-04_final
2017-02-24 10:11:01	ga_ls8c_ard_3-0-0_099072_2017-02-24_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-04-20 10:20:42	ga_ls8c_ard_3-0-0_100082_2017-04-20_final
2017-05-31 10:10:19	ga_ls8c_ard_3-0-0_099071_2017-05-31_final
2017-07-02 10:09:42	ga_ls8c_ard_3-0-0_099069_2017-07-02_final
2017-10-02 10:39:41	ga_ls8c_ard_3-0-0_103081_2017-10-02_final
2018-01-11 10:55:16	ga_ls8c_ard_3-0-0_106074_2018-01-11_final
2018-01-26 10:11:04	ga_ls8c_ard_3-0-0_099072_2018-01-26_final
2018-02-10 11:09:22	ga_ls8c_ard_3-0-0_108079_2018-02-10_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-05-02 10:13:04	ga_ls8c_ard_3-0-0_099079_2018-05-02_final
2018-05-24 11:12:37	ga_ls8c_ard_3-0-0_109074_2018-05-24_final
2018-11-09 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-09_final
2019-01-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2019-01-26_final
2019-02-01 09:06:30	ga_ls8c_ard_3-1-0_088081_2019-01-31_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-02-06 09:23:02	ga_ls8c_ard_3-0-0_091076_2019-02-05_final
2019-05-02 11:19:20	ga_ls8c_ard_3-0-0_110074_2019-05-02_final
2019-05-06 10:52:15	ga_ls8c_ard_3-0-0_106068_2019-05-06_final
2019-05-18 09:39:49	ga_ls8c_ard_3-0-0_094072_2019-05-18_final
2019-06-07 10:52:34	ga_ls8c_ard_3-0-0_106068_2019-06-07_final
2019-09-25 09:33:47	ga_ls8c_ard_3-1-0_092086_2019-09-25_final
2019-10-19 10:20:06	ga_ls8c_ard_3-1-0_100078_2019-10-19_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2019-10-28 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-28_final
2019-12-24 10:10:00	ga_ls8c_ard_3-1-0_098084_2019-12-24_final
2020-01-09 10:09:56	ga_ls8c_ard_3-1-0_098084_2020-01-09_final
2020-02-17 10:13:57	ga_ls8c_ard_3-1-0_099079_2020-02-17_final
2020-02-21 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-02-21_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2020-06-08 10:09:06	ga_ls8c_ard_3-1-0_099068_2020-06-08_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-08-24 09:40:19	ga_ls8c_ard_3-1-0_094072_2020-08-24_final
2020-08-29 09:57:18	ga_ls8c_ard_3-1-0_097068_2020-08-29_final
2020-09-11 11:10:57	ga_ls8c_ard_3-1-0_108082_2020-09-11_final
2020-09-15 09:06:35	ga_ls8c_ard_3-1-0_088080_2020-09-14_final
2021-03-15 09:24:44	ga_ls8c_ard_3-2-0_091080_2021-03-14_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-07-08 11:29:47	ga_ls8c_ard_3-2-0_112068_2021-07-08_final
2021-08-06 09:22:34	ga_ls8c_ard_3-2-0_091074_2021-08-05_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2022-01-31 09:11:27	ga_ls8c_ard_3-2-1_089077_2022-01-30_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-04-11 10:13:44	ga_ls8c_ard_3-2-1_099079_2022-04-11_final
2022-04-27 10:14:05	ga_ls8c_ard_3-2-1_099080_2022-04-27_final
2022-05-21 09:25:13	ga_ls8c_ard_3-2-1_091081_2022-05-20_final
2022-08-22 10:33:48	ga_ls8c_ard_3-2-1_102081_2022-08-22_final
2022-10-12 09:22:36	ga_ls8c_ard_3-2-1_091073_2022-10-11_final
2022-11-21 10:09:40	ga_ls8c_ard_3-2-1_099067_2022-11-21_final
2023-01-30 09:39:13	ga_ls8c_ard_3-2-1_093084_2023-01-30_final
2023-03-05 11:04:59	ga_ls8c_ard_3-2-1_107083_2023-03-05_final
2023-03-26 09:39:39	ga_ls8c_ard_3-2-1_094071_2023-03-26_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-06-05 11:23:51	ga_ls8c_ard_3-2-1_111070_2023-06-05_final
2023-07-18 11:05:39	ga_ls8c_ard_3-2-1_108070_2023-07-18_final
2023-10-11 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-10-11_final
2023-10-12 10:33:49	ga_ls8c_ard_3-2-1_102082_2023-10-12_final
2023-12-18 09:22:17	ga_ls8c_ard_3-2-1_091073_2023-12-17_final
2024-01-10 09:31:34	ga_ls8c_ard_3-2-1_092081_2024-01-10_final
2024-01-11 10:10:03	ga_ls8c_ard_3-2-1_099069_2024-01-11_final
2024-02-16 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-02-16_final
2024-04-16 10:10:39	ga_ls8c_ard_3-2-1_099072_2024-04-16_nrt

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