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

88 results

Time (local)	Label
2013-04-19 10:54:12	ga_ls8c_ard_3-0-0_106067_2013-04-19_final
2013-07-22 09:33:48	ga_ls8c_ard_3-0-0_092082_2013-07-22_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2014-06-12 11:28:34	ga_ls8c_ard_3-0-0_111081_2014-06-12_final
2014-07-30 11:29:37	ga_ls8c_ard_3-0-0_111083_2014-07-30_final
2014-12-05 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-12-05_final
2015-01-27 10:09:41	ga_ls8c_ard_3-0-0_098084_2015-01-27_final
2015-03-23 10:14:40	ga_ls8c_ard_3-0-0_099082_2015-03-23_final
2015-05-04 09:12:29	ga_ls8c_ard_3-0-0_089082_2015-05-03_final
2015-05-30 11:26:22	ga_ls8c_ard_3-0-0_111077_2015-05-30_final
2015-07-05 09:21:08	ga_ls8c_ard_3-0-0_091072_2015-07-04_final
2015-11-08 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-11-08_final
2016-02-06 10:13:08	ga_ls8c_ard_3-0-0_099077_2016-02-06_final
2016-03-04 11:29:22	ga_ls8c_ard_3-0-0_112067_2016-03-04_final
2016-03-10 09:17:46	ga_ls8c_ard_3-0-0_090078_2016-03-09_final
2016-05-20 09:27:16	ga_ls8c_ard_3-0-0_091087_2016-05-19_final
2016-06-17 11:23:48	ga_ls8c_ard_3-0-0_111069_2016-06-17_final
2016-06-21 09:21:26	ga_ls8c_ard_3-0-0_091072_2016-06-20_final
2016-08-16 10:13:11	ga_ls8c_ard_3-0-0_099077_2016-08-16_final
2016-09-21 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-09-21_final
2016-12-28 09:34:40	ga_ls8c_ard_3-0-0_093073_2016-12-28_final
2017-01-15 09:23:02	ga_ls8c_ard_3-0-0_091075_2017-01-14_final
2017-01-17 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-01-17_final
2017-02-03 09:51:49	ga_ls8c_ard_3-0-0_096070_2017-02-03_final
2017-02-22 10:23:47	ga_ls8c_ard_3-0-0_101073_2017-02-22_final
2017-02-28 11:23:57	ga_ls8c_ard_3-0-0_111069_2017-02-28_final
2017-04-02 10:30:02	ga_ls8c_ard_3-0-0_102074_2017-04-02_final
2017-06-06 09:39:40	ga_ls8c_ard_3-0-0_093087_2017-06-06_final
2017-07-03 09:21:16	ga_ls8c_ard_3-0-0_090087_2017-07-02_final
2017-07-09 10:19:06	ga_ls8c_ard_3-0-0_100077_2017-07-09_final
2017-08-04 09:17:05	ga_ls8c_ard_3-0-0_090076_2017-08-03_final
2017-09-06 09:57:41	ga_ls8c_ard_3-0-0_097069_2017-09-06_final
2017-10-17 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-10-17_final
2017-11-08 09:17:47	ga_ls8c_ard_3-0-0_090077_2017-11-07_final
2017-12-01 11:01:31	ga_ls8c_ard_3-0-0_107074_2017-12-01_final
2018-03-15 10:09:53	ga_ls8c_ard_3-0-0_099070_2018-03-15_final
2018-03-15 11:52:22	ga_ls8c_ard_3-0-0_115079_2018-03-15_final
2018-04-13 09:39:10	ga_ls8c_ard_3-0-0_094071_2018-04-13_final
2018-05-18 11:51:23	ga_ls8c_ard_3-0-0_115078_2018-05-18_final
2018-06-03 10:12:42	ga_ls8c_ard_3-0-0_099079_2018-06-03_final
2018-06-11 09:20:31	ga_ls8c_ard_3-0-0_091072_2018-06-10_final
2018-07-08 10:41:08	ga_ls8c_ard_3-0-0_104072_2018-07-08_final
2018-10-06 09:40:00	ga_ls8c_ard_3-0-0_094072_2018-10-06_final
2018-10-15 09:33:29	ga_ls8c_ard_3-0-0_093071_2018-10-15_final
2018-10-17 09:19:56	ga_ls8c_ard_3-0-0_091068_2018-10-16_final
2018-11-05 11:30:12	ga_ls8c_ard_3-0-0_112069_2018-11-05_final
2018-12-18 11:15:59	ga_ls8c_ard_3-0-0_109080_2018-12-18_final
2019-01-08 11:30:08	ga_ls8c_ard_3-0-0_112069_2019-01-08_final
2019-02-25 11:31:10	ga_ls8c_ard_3-0-0_112072_2019-02-25_final
2019-03-19 10:52:46	ga_ls8c_ard_3-1-0_106069_2019-03-19_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-04-12 11:45:42	ga_ls8c_ard_3-1-0_114078_2019-04-12_final
2019-06-21 09:34:06	ga_ls8c_ard_3-1-0_092088_2019-06-21_final
2019-07-07 09:30:35	ga_ls8c_ard_3-1-0_092079_2019-07-07_final
2019-09-21 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-09-21_final
2019-09-21 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-09-21_final
2019-10-11 11:06:44	ga_ls8c_ard_3-1-0_108071_2019-10-11_final
2019-10-13 09:22:40	ga_ls8c_ard_3-1-0_090089_2019-10-12_final
2019-10-29 10:55:35	ga_ls8c_ard_3-1-0_106074_2019-10-29_final
2019-11-28 11:11:51	ga_ls8c_ard_3-1-0_108084_2019-11-28_final
2020-01-19 09:06:54	ga_ls8c_ard_3-1-0_088081_2020-01-18_final
2020-06-28 11:24:15	ga_ls8c_ard_3-1-0_111070_2020-06-28_final
2020-08-06 11:30:14	ga_ls8c_ard_3-1-0_112069_2020-08-06_final
2020-08-10 11:10:19	ga_ls8c_ard_3-1-0_108081_2020-08-10_final
2020-08-17 11:17:45	ga_ls8c_ard_3-1-0_109084_2020-08-17_final
2020-10-09 09:57:42	ga_ls8c_ard_3-1-0_096084_2020-10-09_final
2020-10-15 09:17:02	ga_ls8c_ard_3-1-0_090075_2020-10-14_final
2020-10-25 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-25_final
2020-10-31 09:17:01	ga_ls8c_ard_3-1-0_090075_2020-10-30_final
2021-01-22 11:26:38	ga_ls8c_ard_3-2-0_111075_2021-01-22_final
2021-06-28 09:17:23	ga_ls8c_ard_3-2-0_090077_2021-06-27_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-12-29 10:07:36	ga_ls8c_ard_3-2-1_098078_2021-12-29_final
2022-03-26 11:51:24	ga_ls8c_ard_3-2-1_115076_2022-03-26_final
2022-04-01 09:33:23	ga_ls8c_ard_3-2-1_093071_2022-04-01_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-04-28 09:16:51	ga_ls8c_ard_3-2-1_090076_2022-04-27_final
2022-05-04 10:19:31	ga_ls8c_ard_3-2-1_100078_2022-05-04_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-05-22 10:03:41	ga_ls8c_ard_3-2-1_098069_2022-05-22_final
2022-06-23 10:03:10	ga_ls8c_ard_3-2-1_098067_2022-06-23_final
2022-06-24 09:16:20	ga_ls8c_ard_3-2-1_089089_2022-06-23_final
2022-07-30 10:26:17	ga_ls8c_ard_3-2-1_101078_2022-07-30_final
2022-09-17 09:29:18	ga_ls8c_ard_3-2-1_092074_2022-09-16_final
2022-11-14 10:04:43	ga_ls8c_ard_3-2-1_098070_2022-11-14_final
2023-01-03 09:53:00	ga_ls8c_ard_3-2-1_096072_2023-01-03_final
2023-02-12 10:42:44	ga_ls8c_ard_3-2-1_104073_2023-02-12_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