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
2014-04-02 09:45:37	ga_ls8c_ard_3-0-0_094085_2014-04-02_final
2014-06-21 09:45:08	ga_ls8c_ard_3-0-0_094085_2014-06-21_final
2014-08-31 09:52:29	ga_ls8c_ard_3-0-0_095087_2014-08-31_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2014-11-28 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-11-28_final
2015-06-14 09:06:25	ga_ls8c_ard_3-0-0_088082_2015-06-13_final
2015-08-11 09:45:29	ga_ls8c_ard_3-0-0_094086_2015-08-11_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2016-02-25 09:07:02	ga_ls8c_ard_3-0-0_088082_2016-02-24_final
2016-05-19 11:56:58	ga_ls8c_ard_3-0-0_116075_2016-05-19_final
2016-05-19 11:57:22	ga_ls8c_ard_3-0-0_116076_2016-05-19_final
2016-07-02 09:07:23	ga_ls8c_ard_3-0-0_088083_2016-07-01_final
2016-11-08 09:45:56	ga_ls8c_ard_3-0-0_095070_2016-11-08_final
2017-02-08 11:51:59	ga_ls8c_ard_3-0-0_115077_2017-02-08_final
2017-02-08 11:52:23	ga_ls8c_ard_3-0-0_115078_2017-02-08_final
2017-10-26 09:45:55	ga_ls8c_ard_3-0-0_095070_2017-10-26_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2018-04-04 09:45:26	ga_ls8c_ard_3-0-0_095071_2018-04-04_final
2018-05-21 09:06:28	ga_ls8c_ard_3-0-0_088083_2018-05-20_final
2018-08-26 09:45:31	ga_ls8c_ard_3-0-0_095071_2018-08-26_final
2018-10-29 09:45:55	ga_ls8c_ard_3-0-0_095071_2018-10-29_final
2019-04-16 09:40:29	ga_ls8c_ard_3-1-0_094074_2019-04-16_final
2019-04-23 09:46:36	ga_ls8c_ard_3-0-0_095074_2019-04-23_final
2019-09-30 09:46:21	ga_ls8c_ard_3-1-0_095071_2019-09-30_final
2020-04-14 10:02:09	ga_ls8c_ard_3-2-1_098066_2020-04-14_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-05-02 09:27:12	ga_ls8c_ard_3-2-0_091087_2021-05-01_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-05-14 11:23:16	ga_ls8c_ard_3-2-0_111068_2021-05-14_final
2021-05-19 10:02:58	ga_ls8c_ard_3-2-0_098068_2021-05-19_final
2021-05-23 11:19:34	ga_ls8c_ard_3-2-0_110074_2021-05-23_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-06-08 09:45:12	ga_ls8c_ard_3-2-0_094085_2021-06-08_final
2021-06-14 10:45:51	ga_ls8c_ard_3-2-0_104082_2021-06-14_final
2021-07-04 10:19:36	ga_ls8c_ard_3-2-0_100078_2021-07-04_final
2021-08-15 09:21:38	ga_ls8c_ard_3-2-0_090087_2021-08-14_final
2021-09-23 09:23:35	ga_ls8c_ard_3-2-0_091076_2021-09-22_final
2021-10-09 11:02:10	ga_ls8c_ard_3-2-0_107075_2021-10-09_final
2021-10-11 10:49:49	ga_ls8c_ard_3-2-0_105075_2021-10-11_final
2021-11-01 09:30:17	ga_ls8c_ard_3-2-0_092077_2021-11-01_final
2021-11-18 10:13:51	ga_ls8c_ard_3-2-0_099078_2021-11-18_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-11 10:19:39	ga_ls8c_ard_3-2-1_100077_2021-12-11_final
2021-12-18 10:23:25	ga_ls8c_ard_3-2-1_101071_2021-12-18_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-02-07 10:55:42	ga_ls8c_ard_3-2-1_106075_2022-02-07_final
2022-02-15 10:04:13	ga_ls8c_ard_3-2-1_098070_2022-02-15_final
2022-03-26 11:51:24	ga_ls8c_ard_3-2-1_115076_2022-03-26_final
2022-03-30 09:51:44	ga_ls8c_ard_3-2-1_095086_2022-03-30_final
2022-03-31 10:28:12	ga_ls8c_ard_3-2-1_102069_2022-03-31_final
2022-04-05 10:49:10	ga_ls8c_ard_3-2-1_105075_2022-04-05_final
2022-04-15 09:52:14	ga_ls8c_ard_3-2-1_095087_2022-04-15_final
2022-05-21 11:01:42	ga_ls8c_ard_3-2-1_107075_2022-05-21_final
2022-07-12 10:36:04	ga_ls8c_ard_3-2-1_103072_2022-07-12_final
2022-07-20 09:51:05	ga_ls8c_ard_3-2-1_095083_2022-07-20_final
2022-07-29 11:20:18	ga_ls8c_ard_3-2-1_110074_2022-07-29_final
2022-08-21 09:52:32	ga_ls8c_ard_3-2-1_095086_2022-08-21_final
2022-08-21 11:30:13	ga_ls8c_ard_3-2-1_111083_2022-08-21_final
2022-09-29 11:32:54	ga_ls8c_ard_3-2-1_112074_2022-09-29_final
2022-10-08 11:24:40	ga_ls8c_ard_3-2-1_111069_2022-10-08_final
2022-10-12 09:22:12	ga_ls8c_ard_3-2-1_091072_2022-10-11_final
2022-10-12 09:26:59	ga_ls8c_ard_3-2-1_091084_2022-10-11_final
2022-11-05 10:10:10	ga_ls8c_ard_3-2-1_099068_2022-11-05_final
2022-11-20 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-11-19_final
2022-11-21 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-11-21_final
2022-11-22 09:21:38	ga_ls8c_ard_3-2-1_090086_2022-11-21_final
2022-11-26 10:32:13	ga_ls8c_ard_3-2-1_102077_2022-11-26_final
2022-12-01 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-12-01_final
2022-12-08 10:54:56	ga_ls8c_ard_3-2-1_106072_2022-12-08_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-01-02 09:11:44	ga_ls8c_ard_3-2-1_089077_2023-01-01_final
2023-01-12 11:26:27	ga_ls8c_ard_3-2-1_111074_2023-01-12_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-05-01 10:55:27	ga_ls8c_ard_3-2-1_106076_2023-05-01_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-17 10:55:14	ga_ls8c_ard_3-2-1_106076_2023-05-17_final
2023-05-20 11:23:22	ga_ls8c_ard_3-2-1_111069_2023-05-20_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-21 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-08-21_final
2023-09-09 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-09-09_final
2023-10-20 11:21:14	ga_ls8c_ard_3-2-1_110077_2023-10-20_final
2023-10-29 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-10-29_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-12-02 09:28:15	ga_ls8c_ard_3-2-1_091088_2023-12-01_final
2023-12-13 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-12-13_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2024-01-12 10:55:42	ga_ls8c_ard_3-2-1_106075_2024-01-12_final
2024-01-19 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-19_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-22 10:49:51	ga_ls8c_ard_3-2-1_105076_2024-02-22_final
2024-02-25 11:23:56	ga_ls8c_ard_3-2-1_110084_2024-02-25_final
2024-02-29 10:54:46	ga_ls8c_ard_3-2-1_106073_2024-02-29_final
2024-03-09 09:13:10	ga_ls8c_ard_3-2-1_089082_2024-03-08_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_final
2024-03-17 09:58:10	ga_ls8c_ard_3-2-1_097071_2024-03-17_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