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
2014-02-02 11:43:29	ga_ls8c_ard_3-0-0_113084_2014-02-02_final
2014-04-08 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-04-07_final
2014-04-18 11:23:49	ga_ls8c_ard_3-0-0_110084_2014-04-18_final
2014-07-14 09:46:40	ga_ls8c_ard_3-0-0_095073_2014-07-14_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-11-14 11:10:10	ga_ls8c_ard_3-0-0_108080_2014-11-14_final
2014-12-23 11:11:51	ga_ls8c_ard_3-0-0_109069_2014-12-23_final
2015-01-13 11:30:43	ga_ls8c_ard_3-0-0_112070_2015-01-13_final
2015-02-22 09:07:20	ga_ls8c_ard_3-0-0_088083_2015-02-21_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-04-05 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-05_final
2015-05-30 11:25:58	ga_ls8c_ard_3-0-0_111076_2015-05-30_final
2015-06-10 11:05:35	ga_ls8c_ard_3-0-0_108071_2015-06-10_final
2015-07-24 11:31:04	ga_ls8c_ard_3-0-0_112072_2015-07-24_final
2015-09-03 11:24:18	ga_ls8c_ard_3-0-0_111070_2015-09-03_final
2015-11-29 11:36:24	ga_ls8c_ard_3-0-0_112084_2015-11-29_final
2016-01-20 11:08:02	ga_ls8c_ard_3-0-0_108075_2016-01-20_final
2016-03-04 11:31:21	ga_ls8c_ard_3-0-0_112072_2016-03-04_final
2016-05-05 11:47:02	ga_ls8c_ard_3-0-0_114081_2016-05-05_final
2016-09-30 11:18:32	ga_ls8c_ard_3-0-0_110070_2016-09-30_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-04-06 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-04-06_final
2017-08-07 11:24:06	ga_ls8c_ard_3-0-0_111069_2017-08-07_final
2017-08-30 11:31:34	ga_ls8c_ard_3-0-0_112072_2017-08-30_final
2017-09-23 09:07:43	ga_ls8c_ard_3-0-0_088083_2017-09-22_final
2017-10-07 10:55:51	ga_ls8c_ard_3-0-0_106075_2017-10-07_final
2018-01-05 11:30:24	ga_ls8c_ard_3-0-0_112069_2018-01-05_final
2018-02-15 09:45:49	ga_ls8c_ard_3-0-0_095071_2018-02-15_final
2018-03-03 09:45:18	ga_ls8c_ard_3-0-0_095070_2018-03-03_final
2018-03-28 09:39:42	ga_ls8c_ard_3-0-0_094072_2018-03-28_final
2018-10-13 11:23:55	ga_ls8c_ard_3-0-0_111069_2018-10-13_final
2018-10-29 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-10-29_final
2018-11-21 11:31:48	ga_ls8c_ard_3-0-0_112073_2018-11-21_final
2018-11-30 11:24:01	ga_ls8c_ard_3-0-0_111069_2018-11-30_final
2018-11-30 11:24:48	ga_ls8c_ard_3-0-0_111071_2018-11-30_final
2018-12-19 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-12-19_final
2019-01-14 10:55:25	ga_ls8c_ard_3-0-0_106075_2019-01-14_final
2019-01-20 11:57:12	ga_ls8c_ard_3-0-0_116075_2019-01-20_final
2019-04-05 11:37:10	ga_ls8c_ard_3-1-0_113072_2019-04-05_final
2019-06-03 11:16:51	ga_ls8c_ard_3-0-0_110067_2019-06-03_final
2019-06-19 11:17:45	ga_ls8c_ard_3-1-0_110069_2019-06-19_final
2019-07-09 10:55:31	ga_ls8c_ard_3-1-0_106075_2019-07-09_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2019-11-03 11:12:07	ga_ls8c_ard_3-1-0_109069_2019-11-03_final
2019-11-19 11:12:04	ga_ls8c_ard_3-1-0_109069_2019-11-19_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-02-14 09:40:16	ga_ls8c_ard_3-1-0_094072_2020-02-14_final
2020-02-23 11:11:44	ga_ls8c_ard_3-1-0_109069_2020-02-23_final
2020-03-21 10:55:23	ga_ls8c_ard_3-1-0_106075_2020-03-21_final
2020-06-05 11:17:51	ga_ls8c_ard_3-1-0_110070_2020-06-05_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-07-19 11:47:19	ga_ls8c_ard_3-1-0_114081_2020-07-19_final
2020-07-23 09:40:08	ga_ls8c_ard_3-1-0_094072_2020-07-23_final
2020-09-25 09:45:18	ga_ls8c_ard_3-1-0_094084_2020-09-25_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-05-18 09:22:30	ga_ls8c_ard_3-2-0_091075_2021-05-17_final
2021-06-01 09:38:58	ga_ls8c_ard_3-2-0_093085_2021-06-01_final
2021-06-15 11:24:43	ga_ls8c_ard_3-2-0_111071_2021-06-15_final
2021-07-07 10:48:54	ga_ls8c_ard_3-2-0_105074_2021-07-07_final
2021-07-23 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-07-23_final
2021-07-26 09:45:25	ga_ls8c_ard_3-2-0_094085_2021-07-26_final
2021-09-08 11:47:41	ga_ls8c_ard_3-2-0_114081_2021-09-08_final
2021-11-27 11:47:47	ga_ls8c_ard_3-2-0_114081_2021-11-27_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-01 11:18:40	ga_ls8c_ard_3-2-0_110070_2021-12-01_final
2021-12-22 09:57:05	ga_ls8c_ard_3-2-1_097067_2021-12-22_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2021-12-26 09:33:56	ga_ls8c_ard_3-2-1_093071_2021-12-26_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-02-03 11:24:26	ga_ls8c_ard_3-2-1_110085_2022-02-03_final
2022-02-23 09:23:07	ga_ls8c_ard_3-2-1_090091_2022-02-22_final
2022-03-09 11:07:56	ga_ls8c_ard_3-2-1_108075_2022-03-09_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-05-14 10:55:30	ga_ls8c_ard_3-2-1_106075_2022-05-14_final
2022-05-16 09:07:28	ga_ls8c_ard_3-2-1_088083_2022-05-15_final
2022-08-27 10:49:32	ga_ls8c_ard_3-2-1_105074_2022-08-27_final
2022-10-24 09:51:24	ga_ls8c_ard_3-2-1_095083_2022-10-24_final
2022-12-13 09:34:33	ga_ls8c_ard_3-2-1_093072_2022-12-13_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-05-11 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-11_final
2023-05-17 10:55:14	ga_ls8c_ard_3-2-1_106076_2023-05-17_final
2023-06-05 09:51:21	ga_ls8c_ard_3-2-1_095086_2023-06-05_final
2023-07-08 10:32:56	ga_ls8c_ard_3-2-1_102081_2023-07-08_final
2023-07-20 10:55:17	ga_ls8c_ard_3-2-1_106075_2023-07-20_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-08-24 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-08-24_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-10-16 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-10-16_final
2024-01-26 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-01-26_final
2024-01-28 10:55:36	ga_ls8c_ard_3-2-1_106075_2024-01-28_final
2024-02-16 11:24:57	ga_ls8c_ard_3-2-1_111071_2024-02-16_final
2024-02-19 11:57:27	ga_ls8c_ard_3-2-1_116075_2024-02-19_final
2024-02-19 11:57:51	ga_ls8c_ard_3-2-1_116076_2024-02-19_final
2024-02-20 09:22:33	ga_ls8c_ard_3-2-1_091074_2024-02-19_final
2024-03-03 11:30:01	ga_ls8c_ard_3-2-1_111084_2024-03-03_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