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
2013-04-01 10:14:01	ga_ls8c_ard_3-0-0_099083_2013-04-01_final
2013-08-07 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-08-07_final
2013-12-29 09:30:05	ga_ls8c_ard_3-0-0_092074_2013-12-29_final
2013-12-29 11:06:58	ga_ls8c_ard_3-0-0_108069_2013-12-29_final
2014-06-05 11:18:45	ga_ls8c_ard_3-0-0_110072_2014-06-05_final
2014-06-07 09:28:19	ga_ls8c_ard_3-0-0_092074_2014-06-06_final
2014-07-17 10:18:22	ga_ls8c_ard_3-0-0_100075_2014-07-17_final
2014-07-26 11:52:42	ga_ls8c_ard_3-0-0_115079_2014-07-26_final
2014-08-12 09:17:09	ga_ls8c_ard_3-0-0_090076_2014-08-11_final
2014-08-31 11:28:58	ga_ls8c_ard_3-0-0_111081_2014-08-31_final
2014-09-28 11:53:19	ga_ls8c_ard_3-0-0_115080_2014-09-28_final
2014-10-27 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-10-27_final
2014-10-27 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-10-27_final
2014-11-28 09:38:25	ga_ls8c_ard_3-0-0_094067_2014-11-28_final
2015-01-09 10:18:57	ga_ls8c_ard_3-0-0_100076_2015-01-09_final
2015-01-17 09:27:53	ga_ls8c_ard_3-0-0_092072_2015-01-16_final
2015-02-04 09:21:25	ga_ls8c_ard_3-0-0_090087_2015-02-03_final
2015-06-11 10:09:11	ga_ls8c_ard_3-0-0_099069_2015-06-11_final
2015-06-14 10:41:42	ga_ls8c_ard_3-0-0_104073_2015-06-14_final
2015-06-17 09:33:20	ga_ls8c_ard_3-0-0_093072_2015-06-17_final
2015-07-17 11:24:03	ga_ls8c_ard_3-0-0_111070_2015-07-17_final
2015-10-21 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-10-21_final
2015-12-01 11:18:04	ga_ls8c_ard_3-0-0_110069_2015-12-01_final
2015-12-13 11:41:57	ga_ls8c_ard_3-0-0_114067_2015-12-13_final
2016-01-16 11:31:33	ga_ls8c_ard_3-0-0_112072_2016-01-16_final
2016-01-25 09:46:29	ga_ls8c_ard_3-0-0_095072_2016-01-25_final
2016-05-03 11:58:13	ga_ls8c_ard_3-0-0_116078_2016-05-03_final
2016-06-14 10:55:17	ga_ls8c_ard_3-0-0_106075_2016-06-14_final
2016-06-26 09:38:02	ga_ls8c_ard_3-0-0_094067_2016-06-26_final
2016-08-29 09:44:47	ga_ls8c_ard_3-0-0_094083_2016-08-29_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-11-01 11:18:16	ga_ls8c_ard_3-0-0_110069_2016-11-01_final
2016-12-21 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-12-20_final
2017-01-03 10:35:39	ga_ls8c_ard_3-0-0_103071_2017-01-03_final
2017-02-07 09:34:14	ga_ls8c_ard_3-0-0_092088_2017-02-07_final
2017-03-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2017-03-24_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2017-08-05 11:37:38	ga_ls8c_ard_3-0-0_113072_2017-08-05_final
2017-08-28 11:41:56	ga_ls8c_ard_3-0-0_114067_2017-08-28_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-09-01 11:18:01	ga_ls8c_ard_3-0-0_110069_2017-09-01_final
2017-11-09 09:57:27	ga_ls8c_ard_3-0-0_097068_2017-11-09_final
2018-01-09 11:07:15	ga_ls8c_ard_3-0-0_108073_2018-01-09_final
2018-04-04 09:46:13	ga_ls8c_ard_3-0-0_095073_2018-04-04_final
2018-05-14 10:36:28	ga_ls8c_ard_3-0-0_103076_2018-05-14_final
2018-05-18 10:12:30	ga_ls8c_ard_3-0-0_099078_2018-05-18_final
2018-07-07 11:39:57	ga_ls8c_ard_3-0-0_113080_2018-07-07_final
2018-07-09 09:44:44	ga_ls8c_ard_3-0-0_095070_2018-07-09_final
2018-08-21 09:33:44	ga_ls8c_ard_3-0-0_092088_2018-08-21_final
2018-10-16 10:18:21	ga_ls8c_ard_3-0-0_100075_2018-10-16_final
2018-11-01 10:20:01	ga_ls8c_ard_3-0-0_100079_2018-11-01_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2018-12-07 11:31:22	ga_ls8c_ard_3-0-0_112072_2018-12-07_final
2018-12-16 09:46:40	ga_ls8c_ard_3-0-0_095073_2018-12-16_final
2019-02-11 09:37:59	ga_ls8c_ard_3-0-0_094067_2019-02-11_final
2019-05-20 11:07:10	ga_ls8c_ard_3-0-0_108074_2019-05-20_final
2019-07-08 10:13:03	ga_ls8c_ard_3-1-0_099077_2019-07-08_final
2019-09-21 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-09-21_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_final
2019-12-28 09:40:04	ga_ls8c_ard_3-1-0_094071_2019-12-28_final
2020-01-29 09:38:20	ga_ls8c_ard_3-1-0_094067_2020-01-29_final
2020-03-01 09:38:11	ga_ls8c_ard_3-1-0_094067_2020-03-01_final
2020-04-03 10:27:33	ga_ls8c_ard_3-1-0_101083_2020-04-03_final
2020-07-02 11:04:45	ga_ls8c_ard_3-1-0_107083_2020-07-02_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-30 09:45:33	ga_ls8c_ard_3-1-0_095070_2020-07-30_final
2020-08-14 09:06:44	ga_ls8c_ard_3-1-0_088081_2020-08-13_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-10-06 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-10-05_final
2020-10-06 11:03:41	ga_ls8c_ard_3-1-0_107079_2020-10-06_final
2020-11-26 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-11-26_final
2020-12-07 09:39:35	ga_ls8c_ard_3-1-0_093085_2020-12-07_final
2020-12-18 10:53:32	ga_ls8c_ard_3-2-0_106069_2020-12-18_final
2021-01-04 09:57:02	ga_ls8c_ard_3-2-0_097067_2021-01-04_final
2021-03-07 10:08:40	ga_ls8c_ard_3-2-1_099066_2021-03-07_final
2021-03-11 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-03-11_final
2021-03-24 09:17:18	ga_ls8c_ard_3-2-0_090077_2021-03-23_final
2021-04-16 09:19:46	ga_ls8c_ard_3-2-0_091068_2021-04-15_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-06-29 10:03:50	ga_ls8c_ard_3-2-0_097085_2021-06-29_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-09-30 09:35:00	ga_ls8c_ard_3-2-0_092089_2021-09-30_final
2021-10-14 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-14_final
2021-11-16 10:23:02	ga_ls8c_ard_3-2-0_101070_2021-11-16_final
2022-04-05 10:51:57	ga_ls8c_ard_3-2-1_105082_2022-04-05_final
2022-06-13 09:34:24	ga_ls8c_ard_3-2-1_092088_2022-06-13_final
2022-07-26 10:49:22	ga_ls8c_ard_3-2-1_105074_2022-07-26_final
2022-08-21 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-08-21_final
2022-08-27 10:49:32	ga_ls8c_ard_3-2-1_105074_2022-08-27_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-12-27 11:24:54	ga_ls8c_ard_3-2-1_111070_2022-12-27_final
2023-04-08 10:46:15	ga_ls8c_ard_3-2-1_105068_2023-04-08_final
2023-05-04 11:23:08	ga_ls8c_ard_3-2-1_111068_2023-05-04_final
2023-11-05 09:40:01	ga_ls8c_ard_3-2-1_094071_2023-11-05_final
2023-11-16 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-11-15_final
2023-12-16 09:33:50	ga_ls8c_ard_3-2-1_093071_2023-12-16_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_final
2024-02-12 10:15:36	ga_ls8c_ard_3-2-1_099083_2024-02-12_final
2024-04-06 11:13:44	ga_ls8c_ard_3-2-1_109075_2024-04-06_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