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
2013-08-12 09:54:24	ga_ls8c_ard_3-0-0_095087_2013-08-12_final
2013-10-30 09:08:03	ga_ls8c_ard_3-0-0_088080_2013-10-29_final
2014-03-08 09:52:57	ga_ls8c_ard_3-0-0_095087_2014-03-08_final
2014-10-11 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-10-11_final
2014-12-26 11:45:55	ga_ls8c_ard_3-0-0_114077_2014-12-26_final
2015-12-24 09:50:56	ga_ls8c_ard_3-0-0_095083_2015-12-24_final
2016-01-02 09:40:43	ga_ls8c_ard_3-0-0_094073_2016-01-02_final
2016-03-22 09:40:47	ga_ls8c_ard_3-0-0_094074_2016-03-22_final
2016-05-28 11:52:27	ga_ls8c_ard_3-0-0_115079_2016-05-28_final
2017-01-07 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-01-07_final
2017-01-16 11:46:23	ga_ls8c_ard_3-0-0_114078_2017-01-16_final
2017-04-10 09:39:20	ga_ls8c_ard_3-0-0_094071_2017-04-10_final
2018-03-15 11:50:46	ga_ls8c_ard_3-0-0_115075_2018-03-15_final
2018-05-18 11:50:35	ga_ls8c_ard_3-0-0_115076_2018-05-18_final
2018-08-22 11:50:42	ga_ls8c_ard_3-0-0_115075_2018-08-22_final
2018-11-30 09:50:19	ga_ls8c_ard_3-0-0_095082_2018-11-30_final
2019-07-28 09:52:25	ga_ls8c_ard_3-1-0_095087_2019-07-28_final
2019-09-26 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-09-26_final
2019-10-09 09:45:47	ga_ls8c_ard_3-1-0_094085_2019-10-09_final
2019-10-21 10:02:57	ga_ls8c_ard_3-2-1_098066_2019-10-21_final
2019-10-25 09:41:01	ga_ls8c_ard_3-1-0_094073_2019-10-25_final
2019-12-31 11:53:26	ga_ls8c_ard_3-1-0_115080_2019-12-31_final
2020-07-30 09:45:57	ga_ls8c_ard_3-1-0_095071_2020-07-30_final
2020-07-30 09:47:08	ga_ls8c_ard_3-1-0_095074_2020-07-30_final
2020-09-28 11:51:31	ga_ls8c_ard_3-1-0_115075_2020-09-28_final
2020-10-07 11:47:21	ga_ls8c_ard_3-1-0_114080_2020-10-07_final
2021-03-25 09:56:34	ga_ls8c_ard_3-2-0_097067_2021-03-25_final
2021-04-05 11:18:52	ga_ls8c_ard_3-2-0_110072_2021-04-05_final
2021-04-19 09:57:02	ga_ls8c_ard_3-2-0_096084_2021-04-19_final
2021-05-09 11:09:27	ga_ls8c_ard_3-2-0_108080_2021-05-09_final
2021-05-15 10:27:39	ga_ls8c_ard_3-2-0_102068_2021-05-15_final
2021-06-19 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-06-18_final
2021-06-29 11:38:20	ga_ls8c_ard_3-2-0_113074_2021-06-29_final
2021-07-10 11:23:48	ga_ls8c_ard_3-2-0_110084_2021-07-10_final
2021-08-02 09:52:03	ga_ls8c_ard_3-2-0_095086_2021-08-02_final
2021-08-05 10:20:59	ga_ls8c_ard_3-2-0_100081_2021-08-05_final
2021-08-05 10:22:11	ga_ls8c_ard_3-2-0_100084_2021-08-05_final
2021-08-15 10:57:43	ga_ls8c_ard_3-2-0_106080_2021-08-15_final
2021-08-22 11:01:32	ga_ls8c_ard_3-2-0_107074_2021-08-22_final
2021-08-23 10:07:31	ga_ls8c_ard_3-2-0_098078_2021-08-23_final
2021-08-31 09:21:43	ga_ls8c_ard_3-2-0_090087_2021-08-30_final
2021-09-03 11:30:19	ga_ls8c_ard_3-2-0_111084_2021-09-03_final
2021-09-15 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-09-15_final
2021-09-21 09:34:44	ga_ls8c_ard_3-2-0_093073_2021-09-21_final
2021-10-16 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-10-16_final
2021-10-30 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-30_final
2021-11-10 09:25:40	ga_ls8c_ard_3-2-0_091081_2021-11-09_final
2021-11-11 10:08:07	ga_ls8c_ard_3-2-0_098079_2021-11-11_final
2021-11-15 11:20:39	ga_ls8c_ard_3-2-0_110075_2021-11-15_final
2021-11-18 10:13:03	ga_ls8c_ard_3-2-0_099076_2021-11-18_final
2021-12-27 11:58:28	ga_ls8c_ard_3-2-1_116077_2021-12-27_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-01-30 10:09:28	ga_ls8c_ard_3-2-1_098083_2022-01-30_final
2022-01-31 09:16:39	ga_ls8c_ard_3-2-1_089090_2022-01-30_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-02-07 10:57:42	ga_ls8c_ard_3-2-1_106080_2022-02-07_final
2022-02-21 09:29:05	ga_ls8c_ard_3-2-1_092075_2022-02-20_final
2022-04-10 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-04-10_final
2022-04-12 09:22:31	ga_ls8c_ard_3-2-1_090090_2022-04-11_final
2022-05-17 09:47:56	ga_ls8c_ard_3-2-1_095076_2022-05-17_final
2022-05-21 11:04:54	ga_ls8c_ard_3-2-1_107083_2022-05-21_final
2022-07-04 11:29:55	ga_ls8c_ard_3-2-1_111083_2022-07-04_final
2022-07-20 11:24:22	ga_ls8c_ard_3-2-1_111069_2022-07-20_final
2022-07-20 11:24:46	ga_ls8c_ard_3-2-1_111070_2022-07-20_final
2022-09-06 09:52:33	ga_ls8c_ard_3-2-1_095086_2022-09-06_final
2022-09-27 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-09-27_final
2022-10-06 11:42:38	ga_ls8c_ard_3-2-1_113083_2022-10-06_final
2022-10-24 11:25:54	ga_ls8c_ard_3-2-1_111072_2022-10-24_final
2022-10-24 11:26:18	ga_ls8c_ard_3-2-1_111073_2022-10-24_final
2022-10-28 09:25:30	ga_ls8c_ard_3-2-1_091080_2022-10-27_final
2022-10-28 11:00:24	ga_ls8c_ard_3-2-1_107070_2022-10-28_final
2022-11-27 09:40:35	ga_ls8c_ard_3-2-1_093087_2022-11-27_final
2022-12-02 09:58:44	ga_ls8c_ard_3-2-1_096086_2022-12-02_final
2022-12-30 10:18:07	ga_ls8c_ard_3-2-1_100073_2022-12-30_final
2023-01-22 10:27:25	ga_ls8c_ard_3-2-1_101081_2023-01-22_final
2023-01-26 11:41:13	ga_ls8c_ard_3-2-1_113080_2023-01-26_final
2023-03-15 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-03-15_final
2023-03-22 10:04:48	ga_ls8c_ard_3-2-1_098072_2023-03-22_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_final
2023-05-17 09:20:21	ga_ls8c_ard_3-2-1_090086_2023-05-16_final
2023-06-30 09:43:48	ga_ls8c_ard_3-2-1_094082_2023-06-30_final
2023-07-05 11:41:17	ga_ls8c_ard_3-2-1_113082_2023-07-05_final
2023-07-19 10:15:37	ga_ls8c_ard_3-2-1_099084_2023-07-19_final
2023-07-27 09:23:04	ga_ls8c_ard_3-2-1_091076_2023-07-26_final
2023-08-23 10:40:25	ga_ls8c_ard_3-2-1_104068_2023-08-23_final
2023-09-13 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-09-12_final
2023-10-06 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-10-06_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-10-31 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-10-30_final
2023-11-02 10:46:49	ga_ls8c_ard_3-2-1_105068_2023-11-02_final
2023-11-03 11:31:41	ga_ls8c_ard_3-2-1_112072_2023-11-03_final
2023-11-13 10:28:38	ga_ls8c_ard_3-2-1_102069_2023-11-13_final
2023-11-25 10:54:14	ga_ls8c_ard_3-2-1_106071_2023-11-25_final
2023-11-30 09:34:15	ga_ls8c_ard_3-2-1_093072_2023-11-30_final
2023-12-09 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-12-09_final
2023-12-12 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-12-12_final
2024-01-08 09:44:19	ga_ls8c_ard_3-2-1_094082_2024-01-08_final
2024-02-06 09:11:25	ga_ls8c_ard_3-2-1_089077_2024-02-05_final
2024-02-29 10:53:11	ga_ls8c_ard_3-2-1_106069_2024-02-29_final
2024-03-21 09:33:48	ga_ls8c_ard_3-2-1_093072_2024-03-21_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