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
2013-04-01 10:09:15	ga_ls8c_ard_3-0-0_099071_2013-04-01_final
2013-09-29 11:27:33	ga_ls8c_ard_3-0-0_111073_2013-09-29_final
2013-12-23 10:10:47	ga_ls8c_ard_3-0-0_098083_2013-12-23_final
2014-01-20 10:31:12	ga_ls8c_ard_3-0-0_102073_2014-01-20_final
2014-02-26 10:52:54	ga_ls8c_ard_3-0-0_105082_2014-02-26_final
2014-06-12 09:44:06	ga_ls8c_ard_3-0-0_095067_2014-06-12_final
2014-09-28 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-09-28_final
2014-10-14 10:13:21	ga_ls8c_ard_3-0-0_099077_2014-10-14_final
2015-01-02 10:10:21	ga_ls8c_ard_3-0-0_099070_2015-01-02_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2015-03-16 10:06:56	ga_ls8c_ard_3-0-0_098078_2015-03-16_final
2015-11-11 10:07:50	ga_ls8c_ard_3-0-0_098079_2015-11-11_final
2015-12-29 10:06:16	ga_ls8c_ard_3-0-0_098075_2015-12-29_final
2016-01-25 11:24:34	ga_ls8c_ard_3-0-0_111070_2016-01-25_final
2016-02-06 10:09:33	ga_ls8c_ard_3-0-0_099068_2016-02-06_final
2016-02-17 11:30:35	ga_ls8c_ard_3-0-0_112070_2016-02-17_final
2016-05-12 10:12:39	ga_ls8c_ard_3-0-0_099077_2016-05-12_final
2016-08-01 10:52:48	ga_ls8c_ard_3-0-0_106068_2016-08-01_final
2016-11-17 09:40:34	ga_ls8c_ard_3-0-0_094072_2016-11-17_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-06-04 09:46:26	ga_ls8c_ard_3-0-0_095073_2017-06-04_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2017-09-25 10:33:27	ga_ls8c_ard_3-0-0_102081_2017-09-25_final
2018-03-31 10:10:11	ga_ls8c_ard_3-0-0_099071_2018-03-31_final
2018-06-14 11:31:09	ga_ls8c_ard_3-0-0_112074_2018-06-14_final
2018-07-18 09:39:01	ga_ls8c_ard_3-0-0_094071_2018-07-18_final
2018-08-03 11:17:38	ga_ls8c_ard_3-0-0_110070_2018-08-03_final
2018-08-13 10:18:19	ga_ls8c_ard_3-0-0_100076_2018-08-13_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2019-03-28 10:46:10	ga_ls8c_ard_3-1-0_105068_2019-03-28_final
2019-05-14 10:03:42	ga_ls8c_ard_3-0-0_098070_2019-05-14_final
2019-06-15 10:07:10	ga_ls8c_ard_3-1-0_098078_2019-06-15_final
2019-07-05 09:39:44	ga_ls8c_ard_3-1-0_094071_2019-07-05_final
2019-08-18 10:08:17	ga_ls8c_ard_3-1-0_098080_2019-08-18_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2019-08-31 11:13:55	ga_ls8c_ard_3-1-0_109074_2019-08-31_final
2019-10-02 11:14:53	ga_ls8c_ard_3-1-0_109076_2019-10-02_final
2019-11-26 09:40:33	ga_ls8c_ard_3-1-0_094072_2019-11-26_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2020-01-28 10:34:22	ga_ls8c_ard_3-1-0_103068_2020-01-28_final
2020-03-01 09:40:11	ga_ls8c_ard_3-1-0_094072_2020-03-01_final
2020-03-13 10:07:13	ga_ls8c_ard_3-1-0_098078_2020-03-13_final
2020-04-09 09:46:27	ga_ls8c_ard_3-1-0_095073_2020-04-09_final
2020-06-29 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-06-29_final
2020-08-02 10:22:03	ga_ls8c_ard_3-1-0_100084_2020-08-02_final
2020-09-15 09:07:23	ga_ls8c_ard_3-1-0_088082_2020-09-14_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-12-01 10:10:40	ga_ls8c_ard_3-1-0_099070_2020-12-01_final
2021-01-05 10:46:16	ga_ls8c_ard_3-2-0_104082_2021-01-05_final
2021-01-10 09:20:18	ga_ls8c_ard_3-2-0_091068_2021-01-09_final
2021-02-26 10:18:55	ga_ls8c_ard_3-2-0_100076_2021-02-26_final
2021-05-04 09:10:02	ga_ls8c_ard_3-2-0_089075_2021-05-03_final
2021-05-05 11:35:21	ga_ls8c_ard_3-2-0_112083_2021-05-05_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-06-26 09:33:44	ga_ls8c_ard_3-2-0_092087_2021-06-26_final
2021-07-03 11:13:37	ga_ls8c_ard_3-2-0_109074_2021-07-03_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-08-11 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-08-11_final
2021-08-27 11:20:06	ga_ls8c_ard_3-2-0_110074_2021-08-27_final
2021-09-05 09:39:53	ga_ls8c_ard_3-2-0_093086_2021-09-05_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-11-15 09:40:34	ga_ls8c_ard_3-2-0_094072_2021-11-15_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2022-01-15 09:11:32	ga_ls8c_ard_3-2-1_089077_2022-01-14_final
2022-02-27 10:33:41	ga_ls8c_ard_3-2-1_102082_2022-02-27_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-03-26 10:08:32	ga_ls8c_ard_3-2-1_099066_2022-03-26_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-04-30 09:06:30	ga_ls8c_ard_3-2-1_088081_2022-04-29_final
2022-05-06 10:07:11	ga_ls8c_ard_3-2-1_098078_2022-05-06_final
2022-05-28 09:33:22	ga_ls8c_ard_3-2-1_092086_2022-05-28_final
2022-07-01 10:53:50	ga_ls8c_ard_3-2-1_106070_2022-07-01_final
2022-07-07 10:19:09	ga_ls8c_ard_3-2-1_100076_2022-07-07_final
2022-07-20 11:25:10	ga_ls8c_ard_3-2-1_111071_2022-07-20_final
2022-08-08 10:20:11	ga_ls8c_ard_3-2-1_100078_2022-08-08_final
2022-10-05 09:17:18	ga_ls8c_ard_3-2-1_090075_2022-10-04_final
2022-10-20 10:10:54	ga_ls8c_ard_3-2-1_099070_2022-10-20_final
2022-11-02 09:40:52	ga_ls8c_ard_3-2-1_094072_2022-11-02_final
2022-11-09 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-11-09_final
2022-11-15 10:50:21	ga_ls8c_ard_3-2-1_105076_2022-11-15_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2022-12-13 09:40:56	ga_ls8c_ard_3-2-1_093088_2022-12-13_final
2023-01-17 10:02:50	ga_ls8c_ard_3-2-1_098066_2023-01-17_final
2023-01-18 09:11:35	ga_ls8c_ard_3-2-1_089077_2023-01-17_final
2023-02-25 10:08:47	ga_ls8c_ard_3-2-1_099066_2023-02-25_final
2023-03-07 09:12:55	ga_ls8c_ard_3-2-1_089081_2023-03-06_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-05-16 10:13:11	ga_ls8c_ard_3-2-1_099079_2023-05-16_final
2023-06-03 09:56:06	ga_ls8c_ard_3-2-1_097067_2023-06-03_final
2023-06-03 09:56:53	ga_ls8c_ard_3-2-1_097069_2023-06-03_final
2023-08-09 10:33:07	ga_ls8c_ard_3-2-1_102081_2023-08-09_final
2023-10-26 09:06:56	ga_ls8c_ard_3-2-1_088081_2023-10-25_final
2023-11-28 11:24:43	ga_ls8c_ard_3-2-1_111070_2023-11-28_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2024-01-05 09:12:11	ga_ls8c_ard_3-2-1_089079_2024-01-04_final
2024-01-28 09:17:07	ga_ls8c_ard_3-2-1_090076_2024-01-27_final
2024-02-22 09:10:34	ga_ls8c_ard_3-2-1_089075_2024-02-21_final
2024-03-31 10:12:44	ga_ls8c_ard_3-2-1_099077_2024-03-31_final
2024-04-09 10:04:08	ga_ls8c_ard_3-2-1_098071_2024-04-09_final
2024-04-16 10:12:14	ga_ls8c_ard_3-2-1_099076_2024-04-16_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