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
2013-03-27 10:13:53	ga_ls8c_ard_3-0-0_099072_2013-03-27_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-06-16 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-06-16_final
2013-08-24 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-08-24_final
2013-12-17 10:45:08	ga_ls8c_ard_3-0-0_104076_2013-12-17_final
2014-02-02 10:04:36	ga_ls8c_ard_3-0-0_097084_2014-02-02_final
2014-03-11 10:22:38	ga_ls8c_ard_3-0-0_100084_2014-03-11_final
2014-07-26 11:52:42	ga_ls8c_ard_3-0-0_115079_2014-07-26_final
2014-10-20 11:17:09	ga_ls8c_ard_3-0-0_109082_2014-10-20_final
2014-10-31 09:17:40	ga_ls8c_ard_3-0-0_090077_2014-10-30_final
2015-01-02 10:09:33	ga_ls8c_ard_3-0-0_099068_2015-01-02_final
2015-02-25 09:34:38	ga_ls8c_ard_3-0-0_093074_2015-02-25_final
2015-03-08 10:52:52	ga_ls8c_ard_3-0-0_106069_2015-03-08_final
2015-03-18 09:57:45	ga_ls8c_ard_3-0-0_096086_2015-03-18_final
2015-07-12 09:28:35	ga_ls8c_ard_3-0-0_092075_2015-07-11_final
2015-08-03 10:28:05	ga_ls8c_ard_3-0-0_102069_2015-08-03_final
2015-08-06 11:04:59	ga_ls8c_ard_3-0-0_107084_2015-08-06_final
2015-08-30 10:12:31	ga_ls8c_ard_3-1-0_099076_2015-08-30_final
2015-10-24 10:19:47	ga_ls8c_ard_3-0-0_100078_2015-10-24_final
2015-11-04 09:58:05	ga_ls8c_ard_3-1-0_097070_2015-11-04_final
2015-11-16 10:27:36	ga_ls8c_ard_3-0-0_101082_2015-11-16_final
2015-11-21 10:40:58	ga_ls8c_ard_3-0-0_104069_2015-11-21_final
2015-11-26 09:27:25	ga_ls8c_ard_3-0-0_091086_2015-11-25_final
2016-01-18 11:22:47	ga_ls8c_ard_3-0-0_110081_2016-01-18_final
2016-03-12 09:06:35	ga_ls8c_ard_3-1-0_088081_2016-03-11_final
2016-03-29 11:24:58	ga_ls8c_ard_3-0-0_111072_2016-03-29_final
2016-06-05 11:02:14	ga_ls8c_ard_3-0-0_107077_2016-06-05_final
2016-08-13 11:17:57	ga_ls8c_ard_3-0-0_110069_2016-08-13_final
2016-10-20 10:59:07	ga_ls8c_ard_3-0-0_106083_2016-10-20_final
2016-10-25 09:32:48	ga_ls8c_ard_3-0-0_093068_2016-10-25_final
2016-11-04 10:09:28	ga_ls8c_ard_3-0-0_099067_2016-11-04_final
2016-11-21 09:21:02	ga_ls8c_ard_3-0-0_090085_2016-11-20_final
2016-12-15 10:09:36	ga_ls8c_ard_3-0-0_098083_2016-12-15_final
2017-01-14 10:19:04	ga_ls8c_ard_3-0-0_100076_2017-01-14_final
2017-02-09 09:21:51	ga_ls8c_ard_3-0-0_090088_2017-02-08_final
2017-03-16 09:51:42	ga_ls8c_ard_3-0-0_095086_2017-03-16_final
2017-04-15 09:57:01	ga_ls8c_ard_3-0-0_097069_2017-04-15_final
2017-04-27 10:22:48	ga_ls8c_ard_3-0-0_101072_2017-04-27_final
2017-05-05 09:33:44	ga_ls8c_ard_3-0-0_093073_2017-05-05_final
2017-05-07 09:27:00	ga_ls8c_ard_3-0-0_091087_2017-05-06_final
2017-05-10 09:49:57	ga_ls8c_ard_3-0-0_096067_2017-05-10_final
2017-06-03 10:40:51	ga_ls8c_ard_3-0-0_104070_2017-06-03_final
2017-07-06 11:23:53	ga_ls8c_ard_3-0-0_111069_2017-07-06_final
2017-08-18 09:34:43	ga_ls8c_ard_3-0-0_092089_2017-08-18_final
2017-09-09 10:28:35	ga_ls8c_ard_3-0-0_102069_2017-09-09_final
2017-09-16 10:34:22	ga_ls8c_ard_3-0-0_103068_2017-09-16_final
2017-09-28 11:05:10	ga_ls8c_ard_3-0-0_107083_2017-09-28_final
2017-11-19 10:36:04	ga_ls8c_ard_3-0-0_103072_2017-11-19_final
2018-01-12 09:59:38	ga_ls8c_ard_3-0-0_097074_2018-01-12_final
2018-05-22 09:46:32	ga_ls8c_ard_3-0-0_095075_2018-05-22_final
2018-05-28 10:47:51	ga_ls8c_ard_3-0-0_105074_2018-05-28_final
2018-06-05 09:56:21	ga_ls8c_ard_3-0-0_097069_2018-06-05_final
2018-06-05 11:37:37	ga_ls8c_ard_3-0-0_113075_2018-06-05_final
2018-06-23 11:23:04	ga_ls8c_ard_3-0-0_111069_2018-06-23_final
2018-07-30 10:07:01	ga_ls8c_ard_3-0-0_098079_2018-07-30_final
2018-10-25 10:13:48	ga_ls8c_ard_3-0-0_099079_2018-10-25_final
2018-12-22 10:52:04	ga_ls8c_ard_3-0-0_105082_2018-12-22_final
2019-01-25 10:34:02	ga_ls8c_ard_3-0-0_103068_2019-01-25_final
2019-04-14 09:56:51	ga_ls8c_ard_3-1-0_096084_2019-04-14_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2020-01-07 10:17:30	ga_ls8c_ard_3-1-0_100072_2020-01-07_final
2020-03-06 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-03-06_final
2020-03-29 10:03:52	ga_ls8c_ard_3-1-0_098070_2020-03-29_final
2020-04-01 10:39:08	ga_ls8c_ard_3-1-0_103081_2020-04-01_final
2020-06-26 11:40:35	ga_ls8c_ard_3-1-0_113080_2020-06-26_final
2020-07-11 10:54:14	ga_ls8c_ard_3-1-0_106072_2020-07-11_final
2020-09-15 09:06:59	ga_ls8c_ard_3-1-0_088081_2020-09-14_final
2020-10-14 10:09:52	ga_ls8c_ard_3-1-0_099068_2020-10-14_final
2020-10-18 09:47:56	ga_ls8c_ard_3-1-0_095075_2020-10-18_final
2021-03-20 11:16:56	ga_ls8c_ard_3-2-0_110067_2021-03-20_final
2021-04-09 09:20:49	ga_ls8c_ard_3-2-0_090086_2021-04-08_final
2021-04-13 10:30:10	ga_ls8c_ard_3-2-0_102074_2021-04-13_final
2021-05-01 11:57:44	ga_ls8c_ard_3-2-0_116077_2021-05-01_final
2021-05-04 09:10:50	ga_ls8c_ard_3-2-0_089077_2021-05-03_final
2021-06-01 11:16:16	ga_ls8c_ard_3-2-0_109081_2021-06-01_final
2021-09-20 10:30:45	ga_ls8c_ard_3-2-0_102074_2021-09-20_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-10-05 09:44:47	ga_ls8c_ard_3-2-0_095067_2021-10-05_final
2022-01-05 10:09:46	ga_ls8c_ard_3-2-1_099068_2022-01-05_final
2022-01-13 11:00:00	ga_ls8c_ard_3-2-1_107070_2022-01-13_final
2022-01-15 10:47:38	ga_ls8c_ard_3-2-1_105070_2022-01-15_final
2022-02-02 10:39:34	ga_ls8c_ard_3-2-1_103081_2022-02-02_final
2022-04-21 09:13:56	ga_ls8c_ard_3-2-1_089084_2022-04-20_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-07-26 09:13:16	ga_ls8c_ard_3-2-1_089081_2022-07-25_final
2022-09-26 11:04:48	ga_ls8c_ard_3-2-1_107081_2022-09-26_final
2023-01-07 11:06:21	ga_ls8c_ard_3-2-1_108070_2023-01-07_final
2023-02-21 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-02-21_final
2023-03-22 11:44:53	ga_ls8c_ard_3-2-1_114075_2023-03-22_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-06-29 10:39:01	ga_ls8c_ard_3-2-1_103081_2023-06-29_final
2023-07-03 10:09:57	ga_ls8c_ard_3-2-1_099070_2023-07-03_final
2023-07-19 10:08:26	ga_ls8c_ard_3-2-1_099066_2023-07-19_final
2023-09-25 11:24:11	ga_ls8c_ard_3-2-1_111069_2023-09-25_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-12-02 09:25:51	ga_ls8c_ard_3-2-1_091082_2023-12-01_final
2024-01-17 11:13:51	ga_ls8c_ard_3-2-1_109074_2024-01-17_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