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
2014-01-03 09:47:47	ga_ls8c_ard_3-0-0_095072_2014-01-03_final
2014-09-09 09:40:22	ga_ls8c_ard_3-0-0_094072_2014-09-09_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-07-26 09:40:13	ga_ls8c_ard_3-0-0_094073_2015-07-26_final
2016-01-02 09:40:43	ga_ls8c_ard_3-0-0_094073_2016-01-02_final
2016-06-26 09:38:02	ga_ls8c_ard_3-0-0_094067_2016-06-26_final
2016-07-18 09:06:42	ga_ls8c_ard_3-1-0_088081_2016-07-17_final
2018-09-20 09:45:27	ga_ls8c_ard_3-0-0_094086_2018-09-20_final
2019-04-23 09:51:24	ga_ls8c_ard_3-0-0_095086_2019-04-23_final
2019-11-29 10:09:03	ga_ls8c_ard_3-2-1_099066_2019-11-29_final
2020-09-25 09:45:18	ga_ls8c_ard_3-1-0_094084_2020-09-25_final
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2020-12-05 09:50:21	ga_ls8c_ard_3-1-0_095081_2020-12-05_final
2021-03-07 11:52:20	ga_ls8c_ard_3-2-0_115078_2021-03-07_final
2021-03-07 11:52:44	ga_ls8c_ard_3-2-0_115079_2021-03-07_final
2021-03-12 10:27:57	ga_ls8c_ard_3-2-0_102068_2021-03-12_final
2021-03-16 10:07:35	ga_ls8c_ard_3-2-0_098079_2021-03-16_final
2021-05-02 10:59:18	ga_ls8c_ard_3-2-0_107070_2021-05-02_final
2021-05-12 10:03:06	ga_ls8c_ard_3-2-0_097084_2021-05-12_final
2021-05-16 09:39:13	ga_ls8c_ard_3-2-0_093086_2021-05-16_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-06-03 09:22:14	ga_ls8c_ard_3-2-0_091074_2021-06-02_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-06-21 09:16:22	ga_ls8c_ard_3-2-0_089090_2021-06-20_final
2021-06-24 11:19:23	ga_ls8c_ard_3-2-0_110073_2021-06-24_final
2021-06-27 11:51:05	ga_ls8c_ard_3-2-0_115075_2021-06-27_final
2021-07-07 10:50:06	ga_ls8c_ard_3-2-0_105077_2021-07-07_final
2021-07-08 09:51:18	ga_ls8c_ard_3-2-0_096069_2021-07-08_final
2021-07-20 10:18:51	ga_ls8c_ard_3-2-0_100076_2021-07-20_final
2021-07-22 11:47:00	ga_ls8c_ard_3-2-0_114080_2021-07-22_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-08-20 11:17:05	ga_ls8c_ard_3-2-0_109082_2021-08-20_final
2021-08-28 10:23:17	ga_ls8c_ard_3-2-0_101071_2021-08-28_final
2021-08-31 09:22:07	ga_ls8c_ard_3-2-0_090088_2021-08-30_final
2021-10-02 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-10-01_final
2021-10-05 09:51:58	ga_ls8c_ard_3-2-0_095085_2021-10-05_final
2021-10-07 09:39:37	ga_ls8c_ard_3-2-0_093085_2021-10-07_final
2021-10-09 09:27:40	ga_ls8c_ard_3-2-0_091086_2021-10-08_final
2021-10-18 09:21:31	ga_ls8c_ard_3-2-0_090086_2021-10-17_final
2021-11-20 11:37:59	ga_ls8c_ard_3-2-0_113072_2021-11-20_final
2021-11-28 10:49:46	ga_ls8c_ard_3-2-0_105075_2021-11-28_final
2021-12-04 11:52:46	ga_ls8c_ard_3-2-0_115078_2021-12-04_final
2021-12-17 11:19:27	ga_ls8c_ard_3-2-1_110072_2021-12-17_final
2022-01-09 09:47:50	ga_ls8c_ard_3-2-1_095075_2022-01-09_final
2022-01-13 09:27:54	ga_ls8c_ard_3-2-1_091087_2022-01-12_final
2022-02-07 09:21:37	ga_ls8c_ard_3-2-1_090087_2022-02-06_final
2022-02-22 11:50:50	ga_ls8c_ard_3-2-1_115074_2022-02-22_final
2022-03-14 09:47:09	ga_ls8c_ard_3-2-1_095074_2022-03-14_final
2022-03-20 09:14:23	ga_ls8c_ard_3-2-1_089085_2022-03-19_final
2022-03-25 09:34:04	ga_ls8c_ard_3-2-1_092088_2022-03-25_final
2022-04-08 09:44:24	ga_ls8c_ard_3-2-1_094083_2022-04-08_final
2022-05-24 09:57:43	ga_ls8c_ard_3-2-1_096085_2022-05-24_final
2022-05-27 10:24:12	ga_ls8c_ard_3-2-1_101074_2022-05-27_final
2022-05-30 09:17:51	ga_ls8c_ard_3-2-1_090078_2022-05-29_final
2022-07-24 11:04:30	ga_ls8c_ard_3-2-1_107081_2022-07-24_final
2022-08-27 09:11:51	ga_ls8c_ard_3-2-1_089077_2022-08-26_final
2022-09-13 11:32:05	ga_ls8c_ard_3-2-1_112072_2022-09-13_final
2022-10-08 09:52:34	ga_ls8c_ard_3-2-1_095086_2022-10-08_final
2022-10-12 09:25:23	ga_ls8c_ard_3-2-1_091080_2022-10-11_final
2022-10-12 09:27:47	ga_ls8c_ard_3-2-1_091086_2022-10-11_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-11-02 11:19:21	ga_ls8c_ard_3-2-1_110071_2022-11-02_final
2022-12-06 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-12-05_final
2022-12-15 11:02:15	ga_ls8c_ard_3-2-1_107075_2022-12-15_final
2022-12-16 10:03:49	ga_ls8c_ard_3-2-1_098068_2022-12-16_final
2022-12-20 11:24:19	ga_ls8c_ard_3-2-1_110084_2022-12-20_final
2023-01-14 11:12:52	ga_ls8c_ard_3-2-1_109071_2023-01-14_final
2023-01-16 09:27:10	ga_ls8c_ard_3-2-1_091085_2023-01-15_final
2023-01-29 10:30:27	ga_ls8c_ard_3-2-1_102073_2023-01-29_final
2023-02-08 09:33:24	ga_ls8c_ard_3-2-1_092085_2023-02-08_final
2023-02-17 09:28:42	ga_ls8c_ard_3-2-1_091089_2023-02-16_final
2023-02-22 11:18:50	ga_ls8c_ard_3-2-1_110071_2023-02-22_final
2023-02-24 09:33:55	ga_ls8c_ard_3-2-1_092087_2023-02-24_final
2023-03-18 10:30:00	ga_ls8c_ard_3-2-1_102073_2023-03-18_final
2023-05-24 09:23:47	ga_ls8c_ard_3-2-1_091079_2023-05-23_final
2023-06-09 10:59:35	ga_ls8c_ard_3-2-1_107071_2023-06-09_final
2023-06-27 10:47:45	ga_ls8c_ard_3-2-1_105072_2023-06-27_final
2023-07-09 11:13:25	ga_ls8c_ard_3-2-1_109074_2023-07-09_final
2023-07-18 11:06:51	ga_ls8c_ard_3-2-1_108073_2023-07-18_final
2023-07-19 10:10:49	ga_ls8c_ard_3-2-1_099072_2023-07-19_final
2023-07-24 10:27:49	ga_ls8c_ard_3-2-1_102068_2023-07-24_final
2023-08-05 09:20:57	ga_ls8c_ard_3-2-1_090086_2023-08-04_final
2023-08-08 11:29:08	ga_ls8c_ard_3-2-1_111082_2023-08-08_final
2023-09-11 11:13:45	ga_ls8c_ard_3-2-1_109074_2023-09-11_final
2023-09-22 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-09-21_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-10-28 10:28:17	ga_ls8c_ard_3-2-1_102068_2023-10-28_final
2023-10-31 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-10-31_final
2023-11-08 10:14:28	ga_ls8c_ard_3-2-1_099080_2023-11-08_final
2024-01-08 11:19:12	ga_ls8c_ard_3-2-1_110072_2024-01-08_final
2024-01-19 09:26:59	ga_ls8c_ard_3-2-1_091085_2024-01-18_final
2024-01-21 10:46:42	ga_ls8c_ard_3-2-1_105068_2024-01-21_final
2024-01-27 10:12:43	ga_ls8c_ard_3-2-1_099076_2024-01-27_final
2024-02-01 10:30:55	ga_ls8c_ard_3-2-1_102075_2024-02-01_final
2024-02-04 09:22:10	ga_ls8c_ard_3-2-1_091073_2024-02-03_final
2024-02-08 10:37:57	ga_ls8c_ard_3-2-1_103077_2024-02-08_final
2024-02-23 09:52:14	ga_ls8c_ard_3-2-1_096071_2024-02-23_final
2024-02-23 11:32:43	ga_ls8c_ard_3-2-1_112075_2024-02-23_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