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

90 results

Time (local)	Label
2013-04-01 10:11:38	ga_ls8c_ard_3-0-0_099077_2013-04-01_final
2013-07-21 10:27:50	ga_ls8c_ard_3-0-0_101078_2013-07-21_final
2013-09-25 10:13:00	ga_ls8c_ard_3-0-0_099072_2013-09-25_final
2013-11-12 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-11-12_final
2014-04-13 11:04:59	ga_ls8c_ard_3-0-0_107083_2014-04-13_final
2014-04-18 09:38:09	ga_ls8c_ard_3-0-0_094067_2014-04-18_final
2014-05-07 10:12:45	ga_ls8c_ard_3-0-0_099077_2014-05-07_final
2014-06-13 10:33:21	ga_ls8c_ard_3-0-0_102082_2014-06-13_final
2014-07-17 10:19:34	ga_ls8c_ard_3-0-0_100078_2014-07-17_final
2014-10-15 09:17:44	ga_ls8c_ard_3-0-0_090077_2014-10-14_final
2014-12-21 09:46:56	ga_ls8c_ard_3-0-0_095073_2014-12-21_final
2015-01-11 10:07:47	ga_ls8c_ard_3-0-0_098079_2015-01-11_final
2015-03-08 10:52:29	ga_ls8c_ard_3-0-0_106068_2015-03-08_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-05-12 09:56:13	ga_ls8c_ard_3-0-0_097068_2015-05-12_final
2015-06-29 09:58:56	ga_ls8c_ard_3-0-0_097074_2015-06-29_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-10-27 09:11:49	ga_ls8c_ard_3-0-0_089078_2015-10-26_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2016-02-09 10:40:26	ga_ls8c_ard_3-0-0_104068_2016-02-09_final
2016-03-20 09:57:10	ga_ls8c_ard_3-0-0_096084_2016-03-20_final
2016-06-23 09:13:29	ga_ls8c_ard_3-0-0_089083_2016-06-22_final
2016-07-23 09:22:04	ga_ls8c_ard_3-0-0_091073_2016-07-22_final
2016-11-01 09:40:10	ga_ls8c_ard_3-0-0_094071_2016-11-01_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2016-11-18 10:25:49	ga_ls8c_ard_3-0-0_101077_2016-11-18_final
2016-12-08 09:57:29	ga_ls8c_ard_3-0-0_097068_2016-12-08_final
2016-12-29 10:22:20	ga_ls8c_ard_3-0-0_100084_2016-12-29_final
2017-01-09 09:58:09	ga_ls8c_ard_3-0-0_097070_2017-01-09_final
2017-01-25 09:58:28	ga_ls8c_ard_3-0-0_097071_2017-01-25_final
2017-03-15 10:42:09	ga_ls8c_ard_3-0-0_104073_2017-03-15_final
2017-04-17 09:50:14	ga_ls8c_ard_3-0-0_095083_2017-04-17_final
2017-07-06 11:24:41	ga_ls8c_ard_3-0-0_111071_2017-07-06_final
2017-10-14 09:22:22	ga_ls8c_ard_3-0-0_091073_2017-10-13_final
2017-10-28 09:34:21	ga_ls8c_ard_3-0-0_093072_2017-10-28_final
2017-12-18 10:07:08	ga_ls8c_ard_3-0-0_098077_2017-12-18_final
2018-01-07 11:23:13	ga_ls8c_ard_3-0-0_110082_2018-01-07_final
2018-04-14 10:26:48	ga_ls8c_ard_3-0-0_101082_2018-04-14_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-09-20 11:19:33	ga_ls8c_ard_3-0-0_110074_2018-09-20_final
2018-10-15 09:40:16	ga_ls8c_ard_3-0-0_093088_2018-10-15_final
2018-11-17 10:19:14	ga_ls8c_ard_3-0-0_100077_2018-11-17_final
2018-12-23 11:34:32	ga_ls8c_ard_3-0-0_112080_2018-12-23_final
2019-02-24 10:49:30	ga_ls8c_ard_3-0-0_105076_2019-02-24_final
2019-03-14 10:35:27	ga_ls8c_ard_3-1-0_103072_2019-03-14_final
2019-04-13 09:15:59	ga_ls8c_ard_3-1-0_089090_2019-04-12_final
2019-06-03 11:18:51	ga_ls8c_ard_3-0-0_110072_2019-06-03_final
2019-06-08 09:57:45	ga_ls8c_ard_3-0-0_097070_2019-06-08_final
2019-06-23 10:53:27	ga_ls8c_ard_3-1-0_106070_2019-06-23_final
2019-06-25 09:06:37	ga_ls8c_ard_3-1-0_088081_2019-06-24_final
2019-07-02 09:11:37	ga_ls8c_ard_3-1-0_089078_2019-07-01_final
2019-10-28 11:53:12	ga_ls8c_ard_3-1-0_115079_2019-10-28_final
2019-11-14 10:57:56	ga_ls8c_ard_3-1-0_106080_2019-11-14_final
2020-08-21 09:10:35	ga_ls8c_ard_3-1-0_089075_2020-08-20_final
2020-10-15 09:23:01	ga_ls8c_ard_3-1-0_090090_2020-10-14_final
2020-10-25 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-25_final
2020-10-27 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-27_final
2020-11-25 09:13:39	ga_ls8c_ard_3-1-0_089082_2020-11-24_final
2021-05-11 10:55:31	ga_ls8c_ard_3-2-0_106076_2021-05-11_final
2021-05-25 11:05:38	ga_ls8c_ard_3-2-0_108070_2021-05-25_final
2021-06-03 11:05:07	ga_ls8c_ard_3-2-0_107084_2021-06-03_final
2021-06-08 09:45:12	ga_ls8c_ard_3-2-0_094085_2021-06-08_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-10-28 11:32:42	ga_ls8c_ard_3-2-0_112074_2021-10-28_final
2022-01-03 10:26:08	ga_ls8c_ard_3-2-1_101078_2022-01-03_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-01-31 09:13:51	ga_ls8c_ard_3-2-1_089083_2022-01-30_final
2022-03-14 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-03-14_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-06-30 10:16:09	ga_ls8c_ard_3-2-1_099084_2022-06-30_final
2022-11-26 10:32:13	ga_ls8c_ard_3-2-1_102077_2022-11-26_final
2022-11-28 10:20:16	ga_ls8c_ard_3-2-1_100078_2022-11-28_final
2022-11-29 09:29:02	ga_ls8c_ard_3-2-1_091089_2022-11-28_final
2022-12-11 09:52:31	ga_ls8c_ard_3-2-1_095086_2022-12-11_final
2023-01-08 10:13:31	ga_ls8c_ard_3-2-1_099077_2023-01-08_final
2023-03-01 09:46:28	ga_ls8c_ard_3-2-1_095072_2023-03-01_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-06-10 10:03:58	ga_ls8c_ard_3-2-1_098071_2023-06-10_final
2023-06-15 10:24:08	ga_ls8c_ard_3-2-1_101075_2023-06-15_final
2023-06-21 11:28:45	ga_ls8c_ard_3-2-1_111082_2023-06-21_final
2023-07-29 09:12:44	ga_ls8c_ard_3-2-1_089081_2023-07-28_final
2023-08-04 10:13:46	ga_ls8c_ard_3-2-1_099079_2023-08-04_final
2023-08-08 11:25:33	ga_ls8c_ard_3-2-1_111073_2023-08-08_final
2023-09-03 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-09-03_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-12-22 10:40:03	ga_ls8c_ard_3-2-1_103082_2023-12-22_final
2024-01-04 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-01-04_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