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
2014-03-17 09:46:17	ga_ls8c_ard_3-0-0_094086_2014-03-17_final
2016-06-26 09:45:37	ga_ls8c_ard_3-0-0_094086_2016-06-26_final
2017-04-17 09:45:50	ga_ls8c_ard_3-0-0_095072_2017-04-17_final
2017-11-27 09:46:34	ga_ls8c_ard_3-0-0_095072_2017-11-27_final
2019-11-01 09:47:35	ga_ls8c_ard_3-1-0_095074_2019-11-01_final
2020-02-21 09:46:25	ga_ls8c_ard_3-1-0_095072_2020-02-21_final
2020-10-02 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-10-02_final
2021-03-07 10:15:51	ga_ls8c_ard_3-2-0_099084_2021-03-07_final
2021-03-27 11:23:05	ga_ls8c_ard_3-2-0_111067_2021-03-27_final
2021-03-30 10:16:41	ga_ls8c_ard_3-2-0_100071_2021-03-30_final
2021-04-05 11:19:40	ga_ls8c_ard_3-2-0_110074_2021-04-05_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-04-17 11:41:31	ga_ls8c_ard_3-2-0_114067_2021-04-17_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-07-18 10:28:48	ga_ls8c_ard_3-2-0_102070_2021-07-18_final
2021-07-26 11:17:55	ga_ls8c_ard_3-2-0_110069_2021-07-26_final
2021-09-03 11:25:55	ga_ls8c_ard_3-2-0_111073_2021-09-03_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-14 09:26:09	ga_ls8c_ard_3-2-0_092067_2021-09-13_final
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-09-30 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-09-30_final
2021-10-04 10:46:23	ga_ls8c_ard_3-2-0_104082_2021-10-04_final
2021-10-09 09:26:52	ga_ls8c_ard_3-2-0_091084_2021-10-08_final
2021-10-11 09:11:44	ga_ls8c_ard_3-2-0_089077_2021-10-10_final
2021-10-11 10:52:36	ga_ls8c_ard_3-2-0_105082_2021-10-11_final
2021-10-14 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-14_final
2021-10-16 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-15_final
2021-10-24 10:22:32	ga_ls8c_ard_3-2-0_100084_2021-10-24_final
2021-10-29 10:40:16	ga_ls8c_ard_3-2-0_103082_2021-10-29_final
2021-11-01 11:08:22	ga_ls8c_ard_3-2-0_108075_2021-11-01_final
2021-11-04 09:57:59	ga_ls8c_ard_3-2-0_097069_2021-11-04_final
2021-11-12 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-12_final
2021-11-13 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-13_final
2021-11-26 09:29:13	ga_ls8c_ard_3-2-0_091090_2021-11-25_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2022-01-11 11:17:57	ga_ls8c_ard_3-2-1_109084_2022-01-11_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-02-19 09:40:40	ga_ls8c_ard_3-2-1_094073_2022-02-19_final
2022-03-10 10:13:06	ga_ls8c_ard_3-2-1_099077_2022-03-10_final
2022-03-18 09:27:58	ga_ls8c_ard_3-2-1_091088_2022-03-17_final
2022-03-22 10:39:41	ga_ls8c_ard_3-2-1_103082_2022-03-22_final
2022-04-16 10:33:30	ga_ls8c_ard_3-2-1_102082_2022-04-16_final
2022-04-28 10:55:44	ga_ls8c_ard_3-2-1_106076_2022-04-28_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-06-15 09:16:52	ga_ls8c_ard_3-2-1_090075_2022-06-14_final
2022-06-29 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-06-28_final
2022-07-07 10:19:33	ga_ls8c_ard_3-2-1_100077_2022-07-07_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-07-28 10:36:14	ga_ls8c_ard_3-2-1_103072_2022-07-28_final
2022-08-07 09:34:07	ga_ls8c_ard_3-2-1_093071_2022-08-07_final
2022-08-18 10:56:31	ga_ls8c_ard_3-2-1_106076_2022-08-18_final
2022-08-21 11:30:37	ga_ls8c_ard_3-2-1_111084_2022-08-21_final
2022-09-01 09:30:47	ga_ls8c_ard_3-2-1_092078_2022-09-01_final
2022-10-06 09:57:22	ga_ls8c_ard_3-2-1_097067_2022-10-06_final
2022-10-06 09:57:46	ga_ls8c_ard_3-2-1_097068_2022-10-06_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-11-29 09:29:02	ga_ls8c_ard_3-2-1_091089_2022-11-28_final
2022-12-15 11:05:26	ga_ls8c_ard_3-2-1_107083_2022-12-15_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-01-13 10:29:13	ga_ls8c_ard_3-2-1_102070_2023-01-13_final
2023-03-07 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-03-06_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-30 09:16:30	ga_ls8c_ard_3-2-1_090075_2023-03-29_final
2023-04-05 10:16:37	ga_ls8c_ard_3-2-1_100071_2023-04-05_final
2023-04-24 10:46:56	ga_ls8c_ard_3-2-1_105070_2023-04-24_final
2023-06-16 09:28:31	ga_ls8c_ard_3-2-1_092075_2023-06-15_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-06-22 10:27:56	ga_ls8c_ard_3-2-1_102069_2023-06-22_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_final
2023-07-04 10:55:37	ga_ls8c_ard_3-2-1_106076_2023-07-04_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-07-20 09:16:24	ga_ls8c_ard_3-2-1_090075_2023-07-19_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-07-26 10:18:41	ga_ls8c_ard_3-2-1_100076_2023-07-26_final
2023-08-12 09:27:08	ga_ls8c_ard_3-2-1_091086_2023-08-11_final
2023-08-22 09:57:09	ga_ls8c_ard_3-2-1_097068_2023-08-22_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-09-09 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-09-09_final
2023-09-23 11:42:06	ga_ls8c_ard_3-2-1_113083_2023-09-23_final
2023-09-29 09:21:48	ga_ls8c_ard_3-2-1_091072_2023-09-28_final
2023-10-08 09:21:38	ga_ls8c_ard_3-2-1_090087_2023-10-07_final
2023-10-09 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-10-09_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-10-24 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-10-24_final
2023-11-08 10:10:53	ga_ls8c_ard_3-2-1_099071_2023-11-08_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-11-15 11:58:46	ga_ls8c_ard_3-2-1_116078_2023-11-15_final
2024-01-17 09:33:46	ga_ls8c_ard_3-2-1_093071_2024-01-17_final
2024-01-17 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-17_final
2024-01-29 11:40:04	ga_ls8c_ard_3-2-1_113078_2024-01-29_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-02-22 10:52:15	ga_ls8c_ard_3-2-1_105082_2024-02-22_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-03-16 10:53:48	ga_ls8c_ard_3-2-1_106071_2024-03-16_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