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
2014-10-02 09:50:58	ga_ls8c_ard_3-0-0_095083_2014-10-02_final
2016-02-10 09:48:23	ga_ls8c_ard_3-0-0_095077_2016-02-10_final
2017-06-04 09:47:14	ga_ls8c_ard_3-0-0_095075_2017-06-04_final
2018-05-22 09:46:08	ga_ls8c_ard_3-0-0_095074_2018-05-22_final
2019-07-28 09:47:13	ga_ls8c_ard_3-1-0_095074_2019-07-28_final
2021-03-07 10:15:03	ga_ls8c_ard_3-2-0_099082_2021-03-07_final
2021-04-02 09:14:41	ga_ls8c_ard_3-2-0_089086_2021-04-01_final
2021-04-23 09:25:30	ga_ls8c_ard_3-2-0_092067_2021-04-22_final
2021-06-16 10:28:18	ga_ls8c_ard_3-2-0_102069_2021-06-16_final
2021-07-03 11:17:37	ga_ls8c_ard_3-2-0_109084_2021-07-03_final
2021-07-05 09:23:35	ga_ls8c_ard_3-2-0_091077_2021-07-04_final
2021-07-14 10:55:06	ga_ls8c_ard_3-2-0_106074_2021-07-14_final
2021-07-18 10:32:47	ga_ls8c_ard_3-2-0_102080_2021-07-18_final
2021-07-22 10:06:55	ga_ls8c_ard_3-2-0_098077_2021-07-22_final
2021-07-30 10:57:37	ga_ls8c_ard_3-2-0_106080_2021-07-30_final
2021-08-23 10:07:07	ga_ls8c_ard_3-2-0_098077_2021-08-23_final
2021-09-17 11:42:20	ga_ls8c_ard_3-2-0_113083_2021-09-17_final
2021-09-28 11:19:51	ga_ls8c_ard_3-2-0_110073_2021-09-28_final
2021-10-26 10:07:22	ga_ls8c_ard_3-2-0_098077_2021-10-26_final
2021-11-11 11:46:12	ga_ls8c_ard_3-2-0_114077_2021-11-11_final
2021-11-23 10:29:37	ga_ls8c_ard_3-2-0_102071_2021-11-23_final
2021-11-24 09:35:35	ga_ls8c_ard_3-2-0_093075_2021-11-24_final
2021-12-01 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-12-01_final
2021-12-12 11:05:42	ga_ls8c_ard_3-2-1_107084_2021-12-12_final
2021-12-14 10:52:33	ga_ls8c_ard_3-2-1_105082_2021-12-14_final
2021-12-24 11:26:47	ga_ls8c_ard_3-2-1_111075_2021-12-24_final
2022-01-11 11:12:22	ga_ls8c_ard_3-2-1_109070_2022-01-11_final
2022-01-23 10:01:20	ga_ls8c_ard_3-2-1_097078_2022-01-23_final
2022-01-30 10:07:05	ga_ls8c_ard_3-2-1_098077_2022-01-30_final
2022-02-08 10:02:52	ga_ls8c_ard_3-2-1_097082_2022-02-08_final
2022-02-15 10:03:01	ga_ls8c_ard_3-2-1_098067_2022-02-15_final
2022-03-20 10:46:05	ga_ls8c_ard_3-2-1_105067_2022-03-20_final
2022-03-24 10:23:42	ga_ls8c_ard_3-2-1_101073_2022-03-24_final
2022-03-25 11:08:09	ga_ls8c_ard_3-2-1_108076_2022-03-25_final
2022-03-27 09:22:28	ga_ls8c_ard_3-2-1_090090_2022-03-26_final
2022-03-28 09:58:08	ga_ls8c_ard_3-2-1_097071_2022-03-28_final
2022-03-30 11:26:37	ga_ls8c_ard_3-2-1_111076_2022-03-30_final
2022-04-19 09:24:42	ga_ls8c_ard_3-2-1_091080_2022-04-18_final
2022-05-03 09:39:27	ga_ls8c_ard_3-2-1_093086_2022-05-03_final
2022-05-15 09:59:29	ga_ls8c_ard_3-2-1_097074_2022-05-15_final
2022-05-26 11:21:50	ga_ls8c_ard_3-2-1_110079_2022-05-26_final
2022-05-28 09:29:23	ga_ls8c_ard_3-2-1_092076_2022-05-27_final
2022-05-31 09:56:45	ga_ls8c_ard_3-2-1_097067_2022-05-31_final
2022-06-04 11:12:34	ga_ls8c_ard_3-2-1_109071_2022-06-04_final
2022-06-12 10:28:01	ga_ls8c_ard_3-2-1_101083_2022-06-12_final
2022-06-17 09:07:43	ga_ls8c_ard_3-2-1_088083_2022-06-16_final
2022-06-29 09:30:54	ga_ls8c_ard_3-2-1_092079_2022-06-29_final
2022-07-25 10:10:29	ga_ls8c_ard_3-2-1_098085_2022-07-25_final
2022-08-12 09:53:29	ga_ls8c_ard_3-2-1_096073_2022-08-12_final
2022-08-27 10:52:44	ga_ls8c_ard_3-2-1_105082_2022-08-27_final
2022-09-21 10:43:28	ga_ls8c_ard_3-2-1_104074_2022-09-21_final
2022-09-24 11:17:34	ga_ls8c_ard_3-2-1_109082_2022-09-24_final
2022-11-09 09:53:00	ga_ls8c_ard_3-2-1_095087_2022-11-09_final
2022-11-13 11:01:32	ga_ls8c_ard_3-2-1_107073_2022-11-13_final
2022-11-23 09:58:54	ga_ls8c_ard_3-2-1_097071_2022-11-23_final
2022-11-29 09:25:02	ga_ls8c_ard_3-2-1_091079_2022-11-28_final
2022-11-29 09:26:38	ga_ls8c_ard_3-2-1_091083_2022-11-28_final
2022-12-06 11:10:06	ga_ls8c_ard_3-2-1_108079_2022-12-06_final
2022-12-09 09:58:54	ga_ls8c_ard_3-2-1_097071_2022-12-09_final
2023-02-06 09:44:35	ga_ls8c_ard_3-2-1_094082_2023-02-06_final
2023-03-17 11:29:13	ga_ls8c_ard_3-2-1_111082_2023-03-17_final
2023-03-19 11:12:50	ga_ls8c_ard_3-2-1_109072_2023-03-19_final
2023-03-19 11:16:50	ga_ls8c_ard_3-2-1_109082_2023-03-19_final
2023-04-06 09:22:10	ga_ls8c_ard_3-2-1_091074_2023-04-05_final
2023-04-06 10:59:51	ga_ls8c_ard_3-2-1_107071_2023-04-06_final
2023-04-06 11:03:50	ga_ls8c_ard_3-2-1_107081_2023-04-06_final
2023-04-07 11:46:17	ga_ls8c_ard_3-2-1_114079_2023-04-07_final
2023-05-01 10:54:16	ga_ls8c_ard_3-2-1_106073_2023-05-01_final
2023-05-08 09:25:51	ga_ls8c_ard_3-2-1_091084_2023-05-07_final
2023-05-17 09:18:21	ga_ls8c_ard_3-2-1_090081_2023-05-16_final
2023-05-19 10:39:42	ga_ls8c_ard_3-2-1_104068_2023-05-19_final
2023-06-25 11:00:05	ga_ls8c_ard_3-2-1_107072_2023-06-25_final
2023-06-26 10:03:41	ga_ls8c_ard_3-2-1_098070_2023-06-26_final
2023-06-30 11:20:18	ga_ls8c_ard_3-2-1_110076_2023-06-30_final
2023-07-07 09:50:28	ga_ls8c_ard_3-2-1_095083_2023-07-07_final
2023-08-06 10:01:01	ga_ls8c_ard_3-2-1_097078_2023-08-06_final
2023-08-12 09:22:45	ga_ls8c_ard_3-2-1_091075_2023-08-11_final
2023-08-15 09:52:06	ga_ls8c_ard_3-2-1_096071_2023-08-15_final
2023-08-30 10:47:01	ga_ls8c_ard_3-2-1_105069_2023-08-30_final
2023-09-30 10:09:27	ga_ls8c_ard_3-2-1_098083_2023-09-30_final
2023-10-25 11:41:02	ga_ls8c_ard_3-2-1_113080_2023-10-25_final
2023-10-31 11:01:11	ga_ls8c_ard_3-2-1_107073_2023-10-31_final
2023-11-10 10:02:28	ga_ls8c_ard_3-2-1_097081_2023-11-10_final
2023-11-12 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-11-12_final
2023-11-14 11:17:30	ga_ls8c_ard_3-2-1_109083_2023-11-14_final
2023-11-21 09:42:28	ga_ls8c_ard_3-2-1_094077_2023-11-21_final
2023-11-26 10:02:12	ga_ls8c_ard_3-2-1_097080_2023-11-26_final
2023-11-27 10:41:28	ga_ls8c_ard_3-2-1_104070_2023-11-27_final
2023-11-30 11:13:32	ga_ls8c_ard_3-2-1_109073_2023-11-30_final
2023-11-30 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-11-30_final
2023-12-03 10:07:06	ga_ls8c_ard_3-2-1_098077_2023-12-03_final
2023-12-21 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-12-21_final
2023-12-23 11:18:56	ga_ls8c_ard_3-2-1_110071_2023-12-23_final
2023-12-24 10:23:18	ga_ls8c_ard_3-2-1_101071_2023-12-24_final
2024-01-01 09:36:34	ga_ls8c_ard_3-2-1_093078_2024-01-01_final
2024-01-29 11:40:52	ga_ls8c_ard_3-2-1_113080_2024-01-29_final
2024-02-02 09:34:55	ga_ls8c_ard_3-2-1_093074_2024-02-02_final
2024-02-10 10:25:11	ga_ls8c_ard_3-2-1_101076_2024-02-10_final
2024-02-14 10:01:14	ga_ls8c_ard_3-2-1_097078_2024-02-14_final
2024-03-06 11:57:40	ga_ls8c_ard_3-2-1_116076_2024-03-06_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