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
2013-05-23 09:08:46	ga_ls8c_ard_3-1-0_088081_2013-05-22_final
2013-06-30 11:48:35	ga_ls8c_ard_3-0-0_114079_2013-06-30_final
2013-08-26 11:44:05	ga_ls8c_ard_3-0-0_113083_2013-08-26_final
2013-10-22 11:35:40	ga_ls8c_ard_3-0-0_112078_2013-10-22_final
2014-02-09 11:47:57	ga_ls8c_ard_3-0-0_114080_2014-02-09_final
2014-06-28 09:50:31	ga_ls8c_ard_3-0-0_095083_2014-06-28_final
2014-07-14 09:50:40	ga_ls8c_ard_3-0-0_095083_2014-07-14_final
2015-01-04 11:38:29	ga_ls8c_ard_3-0-0_113074_2015-01-04_final
2015-02-16 09:40:02	ga_ls8c_ard_3-0-0_094072_2015-02-16_final
2015-04-05 09:40:00	ga_ls8c_ard_3-0-0_094073_2015-04-05_final
2015-06-14 09:06:01	ga_ls8c_ard_3-1-0_088081_2015-06-13_final
2015-07-16 09:06:41	ga_ls8c_ard_3-0-0_088082_2015-07-15_final
2015-09-08 11:45:41	ga_ls8c_ard_3-0-0_114077_2015-09-08_final
2015-09-17 11:37:36	ga_ls8c_ard_3-0-0_113072_2015-09-17_final
2016-06-13 11:52:06	ga_ls8c_ard_3-0-0_115078_2016-06-13_final
2017-04-01 09:45:59	ga_ls8c_ard_3-0-0_095072_2017-04-01_final
2017-08-06 09:07:08	ga_ls8c_ard_3-0-0_088082_2017-08-05_final
2017-10-15 11:42:07	ga_ls8c_ard_3-0-0_114067_2017-10-15_final
2018-04-13 09:45:33	ga_ls8c_ard_3-0-0_094087_2018-04-13_final
2018-08-31 11:46:58	ga_ls8c_ard_3-0-0_114081_2018-08-31_final
2018-11-03 11:41:45	ga_ls8c_ard_3-0-0_114067_2018-11-03_final
2019-02-02 09:50:10	ga_ls8c_ard_3-0-0_095082_2019-02-02_final
2019-03-06 09:50:27	ga_ls8c_ard_3-0-0_095083_2019-03-06_final
2019-05-09 09:51:30	ga_ls8c_ard_3-0-0_095086_2019-05-09_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-07-21 09:44:59	ga_ls8c_ard_3-1-0_094084_2019-07-21_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-04-16 11:35:51	ga_ls8c_ard_3-1-0_112084_2020-04-16_final
2020-06-01 11:45:43	ga_ls8c_ard_3-1-0_114078_2020-06-01_final
2020-08-08 09:42:35	ga_ls8c_ard_3-1-0_094078_2020-08-08_final
2021-03-09 10:03:52	ga_ls8c_ard_3-2-0_097085_2021-03-09_final
2021-03-24 10:53:24	ga_ls8c_ard_3-2-0_106070_2021-03-24_final
2021-04-01 10:04:19	ga_ls8c_ard_3-2-0_098071_2021-04-01_final
2021-04-12 09:46:31	ga_ls8c_ard_3-2-0_095073_2021-04-12_final
2021-05-23 11:16:47	ga_ls8c_ard_3-2-0_110067_2021-05-23_final
2021-07-02 10:28:22	ga_ls8c_ard_3-2-0_102069_2021-07-02_final
2021-07-24 09:57:22	ga_ls8c_ard_3-2-0_096084_2021-07-24_final
2021-07-30 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-07-30_final
2021-08-13 09:34:47	ga_ls8c_ard_3-2-0_092089_2021-08-13_final
2021-09-08 10:10:00	ga_ls8c_ard_3-2-0_098084_2021-09-08_final
2021-10-02 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-10-01_final
2021-11-01 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-31_final
2021-11-08 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-11-08_final
2021-12-03 09:33:25	ga_ls8c_ard_3-2-0_092085_2021-12-03_final
2021-12-08 11:25:15	ga_ls8c_ard_3-2-1_111071_2021-12-08_final
2021-12-28 11:01:38	ga_ls8c_ard_3-2-1_107074_2021-12-28_final
2021-12-30 09:12:22	ga_ls8c_ard_3-2-1_089079_2021-12-29_final
2022-01-22 09:20:52	ga_ls8c_ard_3-2-1_090085_2022-01-21_final
2022-02-08 09:57:17	ga_ls8c_ard_3-2-1_097068_2022-02-08_final
2022-02-18 10:35:54	ga_ls8c_ard_3-2-1_103072_2022-02-18_final
2022-03-14 09:46:45	ga_ls8c_ard_3-2-1_095073_2022-03-14_final
2022-03-14 11:25:14	ga_ls8c_ard_3-2-1_111072_2022-03-14_final
2022-04-17 09:33:29	ga_ls8c_ard_3-2-1_093071_2022-04-17_final
2022-05-16 10:42:21	ga_ls8c_ard_3-2-1_104073_2022-05-16_final
2022-05-19 09:36:47	ga_ls8c_ard_3-2-1_093079_2022-05-19_final
2022-06-30 10:15:45	ga_ls8c_ard_3-2-1_099083_2022-06-30_final
2022-07-08 09:28:19	ga_ls8c_ard_3-2-1_091088_2022-07-07_final
2022-07-15 09:28:53	ga_ls8c_ard_3-2-1_092074_2022-07-14_final
2022-08-05 11:26:33	ga_ls8c_ard_3-2-1_111074_2022-08-05_final
2022-09-07 10:30:38	ga_ls8c_ard_3-2-1_102073_2022-09-07_final
2022-09-08 11:15:30	ga_ls8c_ard_3-2-1_109077_2022-09-08_final
2022-09-10 11:01:58	ga_ls8c_ard_3-2-1_107074_2022-09-10_final
2022-10-03 11:08:10	ga_ls8c_ard_3-2-1_108074_2022-10-03_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-10-22 11:42:38	ga_ls8c_ard_3-2-1_113083_2022-10-22_final
2022-10-26 09:35:04	ga_ls8c_ard_3-2-1_093073_2022-10-26_final
2022-11-04 09:29:42	ga_ls8c_ard_3-2-1_092075_2022-11-03_final
2022-11-13 11:00:45	ga_ls8c_ard_3-2-1_107071_2022-11-13_final
2022-12-17 09:11:47	ga_ls8c_ard_3-2-1_089077_2022-12-16_final
2023-02-17 09:27:06	ga_ls8c_ard_3-2-1_091085_2023-02-16_final
2023-02-18 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-02-18_final
2023-02-18 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-02-18_final
2023-02-24 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-02-23_final
2023-03-05 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-03-04_final
2023-03-14 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-03-14_final
2023-03-28 09:30:52	ga_ls8c_ard_3-2-1_092080_2023-03-28_final
2023-04-02 11:26:15	ga_ls8c_ard_3-2-1_111075_2023-04-02_final
2023-04-16 10:03:06	ga_ls8c_ard_3-2-1_097084_2023-04-16_final
2023-05-07 10:16:42	ga_ls8c_ard_3-2-1_100072_2023-05-07_final
2023-05-09 11:46:47	ga_ls8c_ard_3-2-1_114081_2023-05-09_final
2023-05-19 10:41:41	ga_ls8c_ard_3-2-1_104073_2023-05-19_final
2023-06-06 10:27:50	ga_ls8c_ard_3-2-1_102069_2023-06-06_final
2023-06-09 09:21:29	ga_ls8c_ard_3-2-1_091073_2023-06-08_final
2023-06-12 09:51:37	ga_ls8c_ard_3-2-1_096071_2023-06-12_final
2023-06-28 09:57:20	ga_ls8c_ard_3-2-1_096085_2023-06-28_final
2023-07-03 10:09:57	ga_ls8c_ard_3-2-1_099070_2023-07-03_final
2023-07-04 10:54:26	ga_ls8c_ard_3-2-1_106073_2023-07-04_final
2023-07-07 11:26:33	ga_ls8c_ard_3-2-1_111076_2023-07-07_final
2023-07-08 10:29:44	ga_ls8c_ard_3-2-1_102073_2023-07-08_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-08-01 11:20:33	ga_ls8c_ard_3-2-1_110076_2023-08-01_final
2023-08-08 09:51:51	ga_ls8c_ard_3-2-1_095086_2023-08-08_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-09-18 11:20:22	ga_ls8c_ard_3-2-1_110075_2023-09-18_final
2023-11-05 11:20:54	ga_ls8c_ard_3-2-1_110076_2023-11-05_final
2023-12-11 10:54:08	ga_ls8c_ard_3-2-1_106071_2023-12-11_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-04 09:23:22	ga_ls8c_ard_3-2-1_091076_2024-02-03_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-13 09:17:59	ga_ls8c_ard_3-2-1_090078_2024-02-12_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