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
2013-08-10 11:44:03	ga_ls8c_ard_3-0-0_113083_2013-08-10_final
2014-06-08 11:51:16	ga_ls8c_ard_3-0-0_115076_2014-06-08_final
2014-07-23 09:43:17	ga_ls8c_ard_3-0-0_094080_2014-07-23_final
2014-08-15 09:44:28	ga_ls8c_ard_3-0-0_095067_2014-08-15_final
2015-01-27 11:46:58	ga_ls8c_ard_3-0-0_114080_2015-01-27_final
2015-02-07 09:50:18	ga_ls8c_ard_3-0-0_095082_2015-02-07_final
2017-01-16 11:45:11	ga_ls8c_ard_3-0-0_114075_2017-01-16_final
2017-04-13 11:51:53	ga_ls8c_ard_3-0-0_115078_2017-04-13_final
2017-07-31 09:43:46	ga_ls8c_ard_3-0-0_094081_2017-07-31_final
2017-10-26 09:46:42	ga_ls8c_ard_3-0-0_095072_2017-10-26_final
2018-01-23 09:38:12	ga_ls8c_ard_3-0-0_094067_2018-01-23_final
2018-02-24 09:37:58	ga_ls8c_ard_3-0-0_094067_2018-02-24_final
2018-03-24 11:46:08	ga_ls8c_ard_3-0-0_114079_2018-03-24_final
2018-06-16 09:40:19	ga_ls8c_ard_3-0-0_094075_2018-06-16_final
2018-07-07 11:37:33	ga_ls8c_ard_3-0-0_113074_2018-07-07_final
2018-07-07 11:41:09	ga_ls8c_ard_3-0-0_113083_2018-07-07_final
2018-10-29 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-10-29_final
2019-03-22 09:50:22	ga_ls8c_ard_3-1-0_095083_2019-03-22_final
2019-03-31 09:44:09	ga_ls8c_ard_3-1-0_094083_2019-03-31_final
2019-05-18 09:45:25	ga_ls8c_ard_3-0-0_094086_2019-05-18_final
2019-08-13 09:46:08	ga_ls8c_ard_3-1-0_095071_2019-08-13_final
2019-08-13 09:50:31	ga_ls8c_ard_3-1-0_095082_2019-08-13_final
2019-11-26 09:41:20	ga_ls8c_ard_3-1-0_094074_2019-11-26_final
2020-09-25 09:38:31	ga_ls8c_ard_3-1-0_094067_2020-09-25_final
2020-12-03 11:38:48	ga_ls8c_ard_3-1-0_113074_2020-12-03_final
2021-04-21 11:18:45	ga_ls8c_ard_3-2-0_110072_2021-04-21_final
2021-04-28 11:29:15	ga_ls8c_ard_3-2-0_111083_2021-04-28_final
2021-05-02 11:00:30	ga_ls8c_ard_3-2-0_107073_2021-05-02_final
2021-05-25 11:11:13	ga_ls8c_ard_3-2-0_108084_2021-05-25_final
2021-05-28 11:42:09	ga_ls8c_ard_3-2-0_113084_2021-05-28_final
2021-06-11 10:10:08	ga_ls8c_ard_3-2-0_099070_2021-06-11_final
2021-06-13 11:41:04	ga_ls8c_ard_3-2-0_113081_2021-06-13_final
2021-07-10 11:22:12	ga_ls8c_ard_3-2-0_110080_2021-07-10_final
2021-07-12 09:28:58	ga_ls8c_ard_3-2-0_092075_2021-07-11_final
2021-07-13 11:51:55	ga_ls8c_ard_3-2-0_115077_2021-07-13_final
2021-07-14 09:19:00	ga_ls8c_ard_3-2-0_090081_2021-07-13_final
2021-07-15 11:42:21	ga_ls8c_ard_3-2-0_113084_2021-07-15_final
2021-07-19 11:15:16	ga_ls8c_ard_3-2-0_109078_2021-07-19_final
2021-07-23 09:13:42	ga_ls8c_ard_3-2-0_089083_2021-07-22_final
2021-07-30 09:21:08	ga_ls8c_ard_3-2-0_090086_2021-07-29_final
2021-08-15 09:21:14	ga_ls8c_ard_3-2-0_090086_2021-08-14_final
2021-09-12 11:20:59	ga_ls8c_ard_3-2-0_110076_2021-09-12_final
2021-10-04 09:07:07	ga_ls8c_ard_3-2-0_088081_2021-10-03_final
2021-11-08 09:39:38	ga_ls8c_ard_3-2-0_093085_2021-11-08_final
2021-12-09 10:30:49	ga_ls8c_ard_3-2-1_102074_2021-12-09_final
2021-12-12 09:25:38	ga_ls8c_ard_3-2-1_091081_2021-12-11_final
2021-12-21 09:18:37	ga_ls8c_ard_3-2-1_090079_2021-12-20_final
2021-12-21 10:55:06	ga_ls8c_ard_3-2-1_106073_2021-12-21_final
2022-01-06 09:19:44	ga_ls8c_ard_3-2-1_090082_2022-01-05_final
2022-01-09 09:47:50	ga_ls8c_ard_3-2-1_095075_2022-01-09_final
2022-01-13 09:26:42	ga_ls8c_ard_3-2-1_091084_2022-01-12_final
2022-02-14 11:02:39	ga_ls8c_ard_3-2-1_107077_2022-02-14_final
2022-02-24 11:42:04	ga_ls8c_ard_3-2-1_113083_2022-02-24_final
2022-02-26 11:24:55	ga_ls8c_ard_3-2-1_111071_2022-02-26_final
2022-02-28 11:13:21	ga_ls8c_ard_3-2-1_109073_2022-02-28_final
2022-03-19 10:02:50	ga_ls8c_ard_3-2-1_098067_2022-03-19_final
2022-03-28 10:02:07	ga_ls8c_ard_3-2-1_097081_2022-03-28_final
2022-04-01 09:38:58	ga_ls8c_ard_3-2-1_093085_2022-04-01_final
2022-04-26 09:32:50	ga_ls8c_ard_3-2-1_092085_2022-04-26_final
2022-05-19 11:17:40	ga_ls8c_ard_3-2-1_109084_2022-05-19_final
2022-05-23 10:51:20	ga_ls8c_ard_3-2-1_105080_2022-05-23_final
2022-06-22 11:01:59	ga_ls8c_ard_3-2-1_107075_2022-06-22_final
2022-06-27 11:18:57	ga_ls8c_ard_3-2-1_110071_2022-06-27_final
2022-07-05 10:30:18	ga_ls8c_ard_3-2-1_102073_2022-07-05_final
2022-07-23 10:17:38	ga_ls8c_ard_3-2-1_100072_2022-07-23_final
2022-08-05 11:24:09	ga_ls8c_ard_3-2-1_111068_2022-08-05_final
2022-08-10 11:47:07	ga_ls8c_ard_3-2-1_114079_2022-08-10_final
2022-08-27 10:47:33	ga_ls8c_ard_3-2-1_105069_2022-08-27_final
2022-10-09 10:31:02	ga_ls8c_ard_3-2-1_102074_2022-10-09_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-10-24 11:27:29	ga_ls8c_ard_3-2-1_111076_2022-10-24_final
2022-10-28 11:03:36	ga_ls8c_ard_3-2-1_107078_2022-10-28_final
2022-11-07 11:42:16	ga_ls8c_ard_3-2-1_113082_2022-11-07_final
2022-11-18 09:46:43	ga_ls8c_ard_3-2-1_094087_2022-11-18_final
2023-01-10 09:58:21	ga_ls8c_ard_3-2-1_097070_2023-01-10_final
2023-03-04 11:58:37	ga_ls8c_ard_3-2-1_116078_2023-03-04_final
2023-03-22 10:03:13	ga_ls8c_ard_3-2-1_098068_2023-03-22_final
2023-03-22 10:06:48	ga_ls8c_ard_3-2-1_098077_2023-03-22_final
2023-04-06 11:01:27	ga_ls8c_ard_3-2-1_107075_2023-04-06_final
2023-04-11 09:40:11	ga_ls8c_ard_3-2-1_094073_2023-04-11_final
2023-05-08 11:00:44	ga_ls8c_ard_3-2-1_107074_2023-05-08_final
2023-06-09 11:04:46	ga_ls8c_ard_3-2-1_107084_2023-06-09_final
2023-06-14 09:40:04	ga_ls8c_ard_3-2-1_094073_2023-06-14_final
2023-07-09 11:14:36	ga_ls8c_ard_3-2-1_109077_2023-07-09_final
2023-07-11 09:23:22	ga_ls8c_ard_3-2-1_091077_2023-07-10_final
2023-07-23 09:46:32	ga_ls8c_ard_3-2-1_095073_2023-07-23_final
2023-07-24 10:28:13	ga_ls8c_ard_3-2-1_102069_2023-07-24_final
2023-07-26 10:21:28	ga_ls8c_ard_3-2-1_100083_2023-07-26_final
2023-10-20 09:41:09	ga_ls8c_ard_3-2-1_094074_2023-10-20_final
2023-10-22 11:10:06	ga_ls8c_ard_3-2-1_108080_2023-10-22_final
2023-10-25 10:01:45	ga_ls8c_ard_3-2-1_097079_2023-10-25_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-27 09:06:35	ga_ls8c_ard_3-2-1_088080_2023-11-26_final
2023-12-27 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-12-27_final
2024-01-01 09:39:22	ga_ls8c_ard_3-2-1_093085_2024-01-01_final
2024-01-01 09:40:10	ga_ls8c_ard_3-2-1_093087_2024-01-01_final
2024-01-07 10:35:32	ga_ls8c_ard_3-2-1_103071_2024-01-07_final
2024-01-08 11:20:48	ga_ls8c_ard_3-2-1_110076_2024-01-08_final
2024-01-26 09:34:15	ga_ls8c_ard_3-2-1_092088_2024-01-26_final
2024-01-26 11:06:45	ga_ls8c_ard_3-2-1_108072_2024-01-26_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