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
2013-04-13 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-04-13_final
2014-05-11 11:23:41	ga_ls8c_ard_3-0-0_111069_2014-05-11_final
2016-03-13 11:25:32	ga_ls8c_ard_3-0-0_111073_2016-03-13_final
2016-05-16 11:23:39	ga_ls8c_ard_3-0-0_111069_2016-05-16_final
2017-04-17 11:24:19	ga_ls8c_ard_3-0-0_111071_2017-04-17_final
2017-10-17 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-10-17_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-04-27 11:31:28	ga_ls8c_ard_3-0-0_112074_2018-04-27_final
2018-08-29 11:58:07	ga_ls8c_ard_3-0-0_116078_2018-08-29_final
2018-11-14 11:26:49	ga_ls8c_ard_3-0-0_111076_2018-11-14_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2019-03-06 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-03-06_final
2019-03-13 11:33:52	ga_ls8c_ard_3-1-0_112079_2019-03-13_final
2019-06-17 11:31:42	ga_ls8c_ard_3-1-0_112073_2019-06-17_final
2019-11-29 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-11-29_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-12-24 10:22:01	ga_ls8c_ard_3-2-0_100083_2020-12-24_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-01-11 10:09:57	ga_ls8c_ard_3-2-0_098084_2021-01-11_final
2021-01-31 09:41:09	ga_ls8c_ard_3-2-0_094074_2021-01-31_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-07 11:29:23	ga_ls8c_ard_3-2-0_111082_2021-02-07_final
2021-02-23 09:45:38	ga_ls8c_ard_3-2-0_095070_2021-02-23_final
2021-03-08 09:16:37	ga_ls8c_ard_3-2-0_090075_2021-03-07_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-03-11 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-03-11_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-02 09:25:12	ga_ls8c_ard_3-2-0_091082_2021-05-01_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-06-24 11:16:59	ga_ls8c_ard_3-2-0_110067_2021-06-24_final
2021-06-27 10:10:13	ga_ls8c_ard_3-2-0_099070_2021-06-27_final
2021-07-19 09:40:22	ga_ls8c_ard_3-2-0_093088_2021-07-19_final
2021-08-08 09:11:25	ga_ls8c_ard_3-2-0_089077_2021-08-07_final
2021-09-14 09:28:56	ga_ls8c_ard_3-2-0_092074_2021-09-13_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-10-07 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-10-07_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-10-16 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-10-16_final
2021-10-26 10:04:59	ga_ls8c_ard_3-2-0_098071_2021-10-26_final
2021-10-26 10:09:46	ga_ls8c_ard_3-2-0_098083_2021-10-26_final
2021-11-03 10:53:36	ga_ls8c_ard_3-2-0_106069_2021-11-03_final
2021-11-13 09:57:44	ga_ls8c_ard_3-2-0_096084_2021-11-13_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2022-01-11 09:34:17	ga_ls8c_ard_3-2-1_093072_2022-01-11_final
2022-01-28 10:18:14	ga_ls8c_ard_3-2-1_100074_2022-01-28_final
2022-02-02 10:39:34	ga_ls8c_ard_3-2-1_103081_2022-02-02_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-02-05 11:07:40	ga_ls8c_ard_3-2-1_108074_2022-02-05_final
2022-02-12 11:17:01	ga_ls8c_ard_3-2-1_109082_2022-02-12_final
2022-02-28 11:13:45	ga_ls8c_ard_3-2-1_109074_2022-02-28_final
2022-03-05 11:32:16	ga_ls8c_ard_3-2-1_112074_2022-03-05_final
2022-04-08 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-08_final
2022-04-11 11:53:01	ga_ls8c_ard_3-2-1_115080_2022-04-11_final
2022-05-29 11:52:21	ga_ls8c_ard_3-2-1_115078_2022-05-29_final
2022-06-10 10:37:33	ga_ls8c_ard_3-2-1_103076_2022-06-10_final
2022-07-20 09:47:05	ga_ls8c_ard_3-2-1_095073_2022-07-20_final
2022-08-18 09:17:14	ga_ls8c_ard_3-2-1_090075_2022-08-17_final
2022-09-14 10:36:28	ga_ls8c_ard_3-2-1_103072_2022-09-14_final
2022-09-15 11:20:32	ga_ls8c_ard_3-2-1_110074_2022-09-15_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-10-22 11:39:02	ga_ls8c_ard_3-2-1_113074_2022-10-22_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_final
2022-12-07 10:13:40	ga_ls8c_ard_3-2-1_099077_2022-12-07_final
2022-12-19 10:36:17	ga_ls8c_ard_3-2-1_103072_2022-12-19_final
2022-12-20 11:22:19	ga_ls8c_ard_3-2-1_110079_2022-12-20_final
2023-01-15 10:18:49	ga_ls8c_ard_3-2-1_100075_2023-01-15_final
2023-01-24 10:09:29	ga_ls8c_ard_3-2-1_099067_2023-01-24_final
2023-02-26 10:54:50	ga_ls8c_ard_3-2-1_106073_2023-02-26_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-05-20 11:22:58	ga_ls8c_ard_3-2-1_111068_2023-05-20_final
2023-06-05 11:25:03	ga_ls8c_ard_3-2-1_111073_2023-06-05_final
2023-06-06 10:28:14	ga_ls8c_ard_3-2-1_102070_2023-06-06_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-07-16 11:17:37	ga_ls8c_ard_3-2-1_110069_2023-07-16_final
2023-08-05 09:21:45	ga_ls8c_ard_3-2-1_090088_2023-08-04_final
2023-08-21 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-08-21_final
2023-08-25 10:33:39	ga_ls8c_ard_3-2-1_102082_2023-08-25_final
2023-09-20 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-09-20_final
2023-09-23 09:56:50	ga_ls8c_ard_3-2-1_097067_2023-09-23_final
2023-09-29 09:28:59	ga_ls8c_ard_3-2-1_091090_2023-09-28_final
2023-11-05 09:46:24	ga_ls8c_ard_3-2-1_094087_2023-11-05_final
2023-11-05 11:20:06	ga_ls8c_ard_3-2-1_110074_2023-11-05_final
2023-11-15 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-11-15_final
2023-11-18 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-17_final
2023-11-24 11:53:27	ga_ls8c_ard_3-2-1_115080_2023-11-24_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-12-07 11:19:59	ga_ls8c_ard_3-2-1_110074_2023-12-07_final
2023-12-31 10:33:48	ga_ls8c_ard_3-2-1_102082_2023-12-31_final
2024-01-03 09:27:46	ga_ls8c_ard_3-2-1_091087_2024-01-02_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-01-18 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-18_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-16 09:20:54	ga_ls8c_ard_3-2-1_090086_2024-03-15_final
2024-03-23 10:59:53	ga_ls8c_ard_3-2-1_107071_2024-03-23_final
2024-04-01 09:17:06	ga_ls8c_ard_3-2-1_090077_2024-03-31_final
2024-04-01 09:21:30	ga_ls8c_ard_3-2-1_090088_2024-03-31_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