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
2015-04-24 11:52:08	ga_ls8c_ard_3-0-0_115079_2015-04-24_final
2015-10-01 11:52:25	ga_ls8c_ard_3-0-0_115078_2015-10-01_final
2016-07-01 11:42:17	ga_ls8c_ard_3-0-0_113084_2016-07-01_final
2016-07-17 11:40:48	ga_ls8c_ard_3-0-0_113080_2016-07-17_final
2016-07-26 11:31:52	ga_ls8c_ard_3-0-0_112073_2016-07-26_final
2017-07-25 11:57:18	ga_ls8c_ard_3-0-0_116075_2017-07-25_final
2017-12-11 11:37:48	ga_ls8c_ard_3-0-0_113072_2017-12-11_final
2018-06-19 11:52:08	ga_ls8c_ard_3-0-0_115080_2018-06-19_final
2018-10-16 11:58:26	ga_ls8c_ard_3-0-0_116078_2018-10-16_final
2019-06-22 11:50:40	ga_ls8c_ard_3-1-0_115074_2019-06-22_final
2019-07-15 11:58:32	ga_ls8c_ard_3-1-0_116078_2019-07-15_final
2019-12-16 09:20:35	ga_ls8c_ard_3-2-0_090084_2019-12-15_final
2020-07-19 11:41:44	ga_ls8c_ard_3-1-0_114067_2020-07-19_final
2020-08-28 10:52:31	ga_ls8c_ard_3-1-0_106067_2020-08-28_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-09-07 11:32:28	ga_ls8c_ard_3-1-0_112074_2020-09-07_final
2021-01-06 09:52:38	ga_ls8c_ard_3-2-0_095087_2021-01-06_final
2021-01-10 11:01:11	ga_ls8c_ard_3-2-0_107073_2021-01-10_final
2021-01-15 11:18:53	ga_ls8c_ard_3-2-0_110071_2021-01-15_final
2021-01-25 10:21:26	ga_ls8c_ard_3-2-0_100082_2021-01-25_final
2021-01-26 09:26:37	ga_ls8c_ard_3-2-0_091084_2021-01-25_final
2021-02-02 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-02-02_final
2021-02-12 10:09:49	ga_ls8c_ard_3-2-0_098084_2021-02-12_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-03-22 11:06:57	ga_ls8c_ard_3-2-0_108073_2021-03-22_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-03-29 11:17:30	ga_ls8c_ard_3-2-0_109084_2021-03-29_final
2021-05-09 09:27:22	ga_ls8c_ard_3-2-0_092072_2021-05-08_final
2021-05-20 09:11:45	ga_ls8c_ard_3-2-0_089079_2021-05-19_final
2021-06-02 10:21:27	ga_ls8c_ard_3-2-0_100083_2021-06-02_final
2021-06-21 09:13:58	ga_ls8c_ard_3-2-0_089084_2021-06-20_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-05 09:22:47	ga_ls8c_ard_3-2-0_091075_2021-07-04_final
2021-07-06 11:46:55	ga_ls8c_ard_3-2-0_114080_2021-07-06_final
2021-08-05 10:21:23	ga_ls8c_ard_3-2-0_100082_2021-08-05_final
2021-08-30 10:14:08	ga_ls8c_ard_3-2-0_099079_2021-08-30_final
2021-09-06 10:17:57	ga_ls8c_ard_3-2-0_100073_2021-09-06_final
2021-09-26 11:35:47	ga_ls8c_ard_3-2-0_112082_2021-09-26_final
2021-09-29 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-09-29_final
2021-10-07 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-10-07_final
2021-10-09 09:27:40	ga_ls8c_ard_3-2-0_091086_2021-10-08_final
2021-11-01 09:34:16	ga_ls8c_ard_3-2-0_092087_2021-11-01_final
2021-11-01 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-11-01_final
2021-11-17 09:29:48	ga_ls8c_ard_3-2-0_092076_2021-11-16_final
2021-11-18 10:15:26	ga_ls8c_ard_3-2-0_099082_2021-11-18_final
2022-01-02 11:23:21	ga_ls8c_ard_3-2-1_110082_2022-01-02_final
2022-01-09 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-01-09_final
2022-01-12 10:22:19	ga_ls8c_ard_3-2-1_100084_2022-01-12_final
2022-01-26 10:29:25	ga_ls8c_ard_3-2-1_102071_2022-01-26_final
2022-01-27 11:14:16	ga_ls8c_ard_3-2-1_109075_2022-01-27_final
2022-03-13 09:07:05	ga_ls8c_ard_3-2-1_088082_2022-03-12_final
2022-03-28 10:02:07	ga_ls8c_ard_3-2-1_097081_2022-03-28_final
2022-03-29 10:42:10	ga_ls8c_ard_3-2-1_104073_2022-03-29_final
2022-04-30 09:06:54	ga_ls8c_ard_3-2-1_088082_2022-04-29_final
2022-05-06 10:04:00	ga_ls8c_ard_3-2-1_098070_2022-05-06_final
2022-05-14 10:58:42	ga_ls8c_ard_3-2-1_106083_2022-05-14_final
2022-06-22 09:22:42	ga_ls8c_ard_3-2-1_091074_2022-06-21_final
2022-07-02 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-02_final
2022-07-10 10:52:26	ga_ls8c_ard_3-2-1_105082_2022-07-10_final
2022-07-15 11:05:46	ga_ls8c_ard_3-2-1_108069_2022-07-15_final
2022-08-12 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-08-12_final
2022-08-14 11:20:49	ga_ls8c_ard_3-2-1_110075_2022-08-14_final
2022-09-10 09:25:52	ga_ls8c_ard_3-2-1_091081_2022-09-09_final
2022-09-19 09:22:56	ga_ls8c_ard_3-2-1_090089_2022-09-18_final
2022-09-21 10:41:29	ga_ls8c_ard_3-2-1_104069_2022-09-21_final
2022-09-25 11:59:14	ga_ls8c_ard_3-2-1_116078_2022-09-25_final
2022-10-01 09:46:27	ga_ls8c_ard_3-2-1_094086_2022-10-01_final
2022-10-07 09:07:43	ga_ls8c_ard_3-2-1_088082_2022-10-06_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-10-30 10:46:51	ga_ls8c_ard_3-2-1_105067_2022-10-30_final
2022-11-13 09:25:27	ga_ls8c_ard_3-2-1_091080_2022-11-12_final
2022-11-18 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-11-18_final
2022-11-20 11:07:16	ga_ls8c_ard_3-2-1_108072_2022-11-20_final
2022-12-11 09:52:55	ga_ls8c_ard_3-2-1_095087_2022-12-11_final
2023-01-06 10:27:53	ga_ls8c_ard_3-2-1_101082_2023-01-06_final
2023-01-19 09:56:04	ga_ls8c_ard_3-2-1_096080_2023-01-19_final
2023-01-25 10:54:45	ga_ls8c_ard_3-2-1_106072_2023-01-25_final
2023-02-10 09:21:49	ga_ls8c_ard_3-2-1_090087_2023-02-09_final
2023-03-29 10:10:56	ga_ls8c_ard_3-2-1_099072_2023-03-29_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-04-10 10:34:14	ga_ls8c_ard_3-2-1_103069_2023-04-10_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-04-15 09:16:15	ga_ls8c_ard_3-2-1_090075_2023-04-14_final
2023-05-13 11:21:59	ga_ls8c_ard_3-2-1_110081_2023-05-13_final
2023-06-05 11:23:03	ga_ls8c_ard_3-2-1_111068_2023-06-05_final
2023-06-17 11:51:52	ga_ls8c_ard_3-2-1_115078_2023-06-17_final
2023-06-24 10:19:11	ga_ls8c_ard_3-2-1_100078_2023-06-24_final
2023-06-27 09:14:27	ga_ls8c_ard_3-2-1_089086_2023-06-26_final
2023-07-30 11:34:53	ga_ls8c_ard_3-2-1_112081_2023-07-30_final
2023-08-04 10:09:23	ga_ls8c_ard_3-2-1_099068_2023-08-04_final
2023-08-18 10:27:50	ga_ls8c_ard_3-2-1_101083_2023-08-18_final
2023-10-10 09:07:17	ga_ls8c_ard_3-2-1_088082_2023-10-09_final
2023-10-31 11:01:59	ga_ls8c_ard_3-2-1_107075_2023-10-31_final
2023-12-04 09:12:16	ga_ls8c_ard_3-2-1_089079_2023-12-03_final
2023-12-13 10:42:59	ga_ls8c_ard_3-2-1_104074_2023-12-13_final
2024-01-11 10:10:27	ga_ls8c_ard_3-2-1_099070_2024-01-11_final
2024-01-27 11:52:24	ga_ls8c_ard_3-2-1_115078_2024-01-27_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-03-09 09:13:34	ga_ls8c_ard_3-2-1_089083_2024-03-08_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