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
2013-06-17 10:37:48	ga_ls8c_ard_3-0-0_103072_2013-06-17_final
2013-06-27 11:14:52	ga_ls8c_ard_3-0-0_109072_2013-06-27_final
2013-08-04 10:37:51	ga_ls8c_ard_3-0-0_103072_2013-08-04_final
2013-08-07 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-08-07_final
2013-12-29 09:29:17	ga_ls8c_ard_3-0-0_092072_2013-12-28_final
2014-02-02 10:03:24	ga_ls8c_ard_3-0-0_097081_2014-02-02_final
2014-03-04 10:09:42	ga_ls8c_ard_3-0-0_099067_2014-03-04_final
2014-03-12 11:01:54	ga_ls8c_ard_3-0-0_107074_2014-03-12_final
2014-04-27 11:16:20	ga_ls8c_ard_3-0-0_109081_2014-04-27_final
2014-05-04 11:18:47	ga_ls8c_ard_3-0-0_110072_2014-05-04_final
2014-05-16 10:02:29	ga_ls8c_ard_3-0-0_098067_2014-05-16_final
2014-06-01 10:06:56	ga_ls8c_ard_3-0-0_098078_2014-06-01_final
2014-08-25 10:25:57	ga_ls8c_ard_3-0-0_101078_2014-08-25_final
2014-10-07 10:09:56	ga_ls8c_ard_3-0-0_098084_2014-10-07_final
2015-02-25 09:34:38	ga_ls8c_ard_3-0-0_093074_2015-02-25_final
2015-06-20 10:03:03	ga_ls8c_ard_3-0-0_098069_2015-06-20_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-06-25 10:25:12	ga_ls8c_ard_3-0-0_101078_2015-06-25_final
2015-10-17 10:09:57	ga_ls8c_ard_3-0-0_099069_2015-10-17_final
2015-12-03 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-02_final
2016-01-09 09:50:51	ga_ls8c_ard_3-0-0_095083_2016-01-09_final
2016-01-18 09:40:18	ga_ls8c_ard_3-0-0_094072_2016-01-18_final
2016-03-18 10:09:08	ga_ls8c_ard_3-0-0_098083_2016-03-18_final
2016-03-25 11:51:44	ga_ls8c_ard_3-0-0_115077_2016-03-25_final
2016-03-31 09:31:42	ga_ls8c_ard_3-0-0_093067_2016-03-31_final
2016-04-14 11:25:17	ga_ls8c_ard_3-0-0_111073_2016-04-14_final
2016-04-25 11:06:39	ga_ls8c_ard_3-0-0_108073_2016-04-25_final
2016-05-26 10:22:43	ga_ls8c_ard_3-0-0_101071_2016-05-26_final
2016-06-13 10:08:49	ga_ls8c_ard_3-0-0_099067_2016-06-13_final
2016-07-03 11:25:09	ga_ls8c_ard_3-0-0_111072_2016-07-03_final
2016-07-15 10:13:52	ga_ls8c_ard_3-0-0_099079_2016-07-15_final
2016-11-05 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-11-05_final
2016-12-01 09:51:43	ga_ls8c_ard_3-0-0_096069_2016-12-01_final
2017-01-10 10:40:37	ga_ls8c_ard_3-0-0_104068_2017-01-10_final
2017-01-16 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-01-16_final
2017-01-22 11:06:52	ga_ls8c_ard_3-0-0_108072_2017-01-22_final
2017-03-28 10:13:55	ga_ls8c_ard_3-0-0_099080_2017-03-28_final
2017-04-27 10:24:48	ga_ls8c_ard_3-0-0_101077_2017-04-27_final
2017-06-24 11:04:42	ga_ls8c_ard_3-0-0_107083_2017-06-24_final
2017-07-02 11:50:59	ga_ls8c_ard_3-0-0_115075_2017-07-02_final
2017-09-26 11:12:44	ga_ls8c_ard_3-0-0_109071_2017-09-26_final
2017-10-21 09:34:09	ga_ls8c_ard_3-0-0_092087_2017-10-21_final
2017-12-31 09:34:36	ga_ls8c_ard_3-0-0_093073_2017-12-31_final
2018-03-03 11:23:47	ga_ls8c_ard_3-0-0_111069_2018-03-03_final
2018-03-14 11:07:31	ga_ls8c_ard_3-0-0_108075_2018-03-14_final
2018-05-11 10:06:24	ga_ls8c_ard_3-0-0_098078_2018-05-11_final
2018-06-02 11:06:20	ga_ls8c_ard_3-0-0_108074_2018-06-02_final
2018-08-14 10:59:11	ga_ls8c_ard_3-0-0_107070_2018-08-14_final
2018-09-25 09:56:51	ga_ls8c_ard_3-0-0_097068_2018-09-25_final
2018-10-15 09:34:17	ga_ls8c_ard_3-0-0_093073_2018-10-15_final
2018-12-14 09:57:02	ga_ls8c_ard_3-0-0_097068_2018-12-14_final
2019-01-15 09:57:48	ga_ls8c_ard_3-0-0_097070_2019-01-15_final
2019-01-27 10:25:16	ga_ls8c_ard_3-0-0_101077_2019-01-27_final
2019-02-23 10:04:15	ga_ls8c_ard_3-0-0_098071_2019-02-23_final
2019-04-12 10:04:02	ga_ls8c_ard_3-1-0_098071_2019-04-12_final
2019-05-10 10:27:59	ga_ls8c_ard_3-0-0_102069_2019-05-10_final
2019-06-23 10:52:39	ga_ls8c_ard_3-1-0_106068_2019-06-23_final
2019-08-05 10:35:55	ga_ls8c_ard_3-1-0_103072_2019-08-05_final
2019-09-15 10:29:08	ga_ls8c_ard_3-1-0_102070_2019-09-15_final
2019-11-04 10:20:29	ga_ls8c_ard_3-1-0_100079_2019-11-04_final
2019-11-13 10:15:52	ga_ls8c_ard_3-1-0_099083_2019-11-13_final
2019-11-28 09:28:11	ga_ls8c_ard_3-1-0_092072_2019-11-27_final
2020-01-11 11:33:15	ga_ls8c_ard_3-1-0_112076_2020-01-11_final
2020-01-13 09:40:24	ga_ls8c_ard_3-1-0_094072_2020-01-13_final
2020-01-20 09:50:57	ga_ls8c_ard_3-1-0_095083_2020-01-20_final
2020-06-28 09:46:33	ga_ls8c_ard_3-1-0_095073_2020-06-28_final
2020-07-22 10:35:45	ga_ls8c_ard_3-1-0_103072_2020-07-22_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-09-10 10:27:17	ga_ls8c_ard_3-1-0_101081_2020-09-10_final
2021-03-16 10:04:47	ga_ls8c_ard_3-2-0_098072_2021-03-16_final
2021-04-02 10:49:10	ga_ls8c_ard_3-2-0_105075_2021-04-02_final
2021-05-18 09:21:42	ga_ls8c_ard_3-2-0_091073_2021-05-17_final
2021-10-18 10:53:37	ga_ls8c_ard_3-2-0_106069_2021-10-18_final
2022-04-05 10:49:10	ga_ls8c_ard_3-2-1_105075_2022-04-05_final
2022-04-19 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-04-18_final
2022-04-26 09:31:38	ga_ls8c_ard_3-2-1_092082_2022-04-26_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-07-31 09:28:17	ga_ls8c_ard_3-2-1_092072_2022-07-30_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-12-06 11:10:30	ga_ls8c_ard_3-2-1_108080_2022-12-06_final
2022-12-28 10:29:16	ga_ls8c_ard_3-2-1_102070_2022-12-28_final
2023-03-01 11:25:45	ga_ls8c_ard_3-2-1_111073_2023-03-01_final
2023-03-07 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-03-06_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-25 10:02:15	ga_ls8c_ard_3-2-1_098067_2023-05-25_final
2023-05-25 10:07:03	ga_ls8c_ard_3-2-1_098079_2023-05-25_final
2023-07-03 10:09:57	ga_ls8c_ard_3-2-1_099070_2023-07-03_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-10-21 10:25:14	ga_ls8c_ard_3-2-1_101076_2023-10-21_final
2023-12-06 10:35:57	ga_ls8c_ard_3-2-1_103072_2023-12-06_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2023-12-15 10:29:03	ga_ls8c_ard_3-2-1_102070_2023-12-15_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-02-22 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-02-22_final
2024-02-29 09:21:29	ga_ls8c_ard_3-2-1_090087_2024-02-28_final
2024-04-04 11:24:54	ga_ls8c_ard_3-2-1_111072_2024-04-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years