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
2013-08-26 11:43:41	ga_ls8c_ard_3-0-0_113082_2013-08-26_final
2014-01-28 11:18:13	ga_ls8c_ard_3-0-0_110067_2014-01-28_final
2014-03-26 11:12:01	ga_ls8c_ard_3-0-0_109069_2014-03-26_final
2014-05-17 10:49:20	ga_ls8c_ard_3-0-0_105076_2014-05-17_final
2015-10-21 11:24:33	ga_ls8c_ard_3-0-0_111070_2015-10-21_final
2016-03-04 11:32:09	ga_ls8c_ard_3-0-0_112074_2016-03-04_final
2016-03-15 11:17:33	ga_ls8c_ard_3-0-0_109084_2016-03-15_final
2016-07-03 11:29:32	ga_ls8c_ard_3-0-0_111083_2016-07-03_final
2017-05-26 11:31:25	ga_ls8c_ard_3-0-0_112073_2017-05-26_final
2017-10-19 11:18:13	ga_ls8c_ard_3-0-0_110069_2017-10-19_final
2018-01-14 11:28:56	ga_ls8c_ard_3-0-0_111081_2018-01-14_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-05-19 10:51:21	ga_ls8c_ard_3-0-0_106067_2018-05-19_final
2019-06-03 11:19:39	ga_ls8c_ard_3-0-0_110074_2019-06-03_final
2019-10-13 10:53:35	ga_ls8c_ard_3-1-0_106069_2019-10-13_final
2019-11-08 11:31:03	ga_ls8c_ard_3-1-0_112070_2019-11-08_final
2019-11-10 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-11-10_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2019-12-19 11:24:46	ga_ls8c_ard_3-2-0_111070_2019-12-19_final
2020-01-08 11:00:22	ga_ls8c_ard_3-1-0_107071_2020-01-08_final
2020-02-14 11:19:56	ga_ls8c_ard_3-1-0_110074_2020-02-14_final
2020-03-19 11:07:46	ga_ls8c_ard_3-1-0_108075_2020-03-19_final
2020-05-24 10:52:14	ga_ls8c_ard_3-1-0_106068_2020-05-24_final
2020-07-09 11:07:47	ga_ls8c_ard_3-1-0_108075_2020-07-09_final
2020-08-08 11:17:53	ga_ls8c_ard_3-1-0_110069_2020-08-08_final
2020-08-24 11:18:24	ga_ls8c_ard_3-1-0_110070_2020-08-24_final
2020-10-18 11:24:50	ga_ls8c_ard_3-1-0_111070_2020-10-18_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2021-01-11 10:04:21	ga_ls8c_ard_3-2-0_098070_2021-01-11_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-03-06 09:28:36	ga_ls8c_ard_3-2-0_092074_2021-03-05_final
2021-03-08 09:21:01	ga_ls8c_ard_3-2-0_090086_2021-03-07_final
2021-03-12 10:33:08	ga_ls8c_ard_3-2-0_102081_2021-03-12_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-05-02 09:19:37	ga_ls8c_ard_3-2-0_091068_2021-05-01_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-30 11:23:49	ga_ls8c_ard_3-2-0_111069_2021-05-30_final
2021-06-14 09:07:22	ga_ls8c_ard_3-2-0_088083_2021-06-13_final
2021-07-25 10:39:26	ga_ls8c_ard_3-2-0_103081_2021-07-25_final
2021-08-24 10:49:59	ga_ls8c_ard_3-2-0_105076_2021-08-24_final
2021-09-05 11:14:46	ga_ls8c_ard_3-2-0_109076_2021-09-05_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-10-20 09:07:34	ga_ls8c_ard_3-2-0_088082_2021-10-19_final
2021-10-27 09:12:09	ga_ls8c_ard_3-2-0_089078_2021-10-26_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-22 09:45:57	ga_ls8c_ard_3-2-0_095070_2021-11-22_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-04 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-12-04_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2021-12-30 10:50:03	ga_ls8c_ard_3-2-1_105076_2021-12-30_final
2022-01-05 10:13:46	ga_ls8c_ard_3-2-1_099078_2022-01-05_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-01-21 10:10:55	ga_ls8c_ard_3-2-1_099071_2022-01-21_final
2022-02-21 09:34:41	ga_ls8c_ard_3-2-1_092089_2022-02-21_final
2022-03-10 10:13:06	ga_ls8c_ard_3-2-1_099077_2022-03-10_final
2022-04-17 11:13:34	ga_ls8c_ard_3-2-1_109074_2022-04-17_final
2022-04-29 09:57:43	ga_ls8c_ard_3-2-1_097070_2022-04-29_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-06-08 10:49:54	ga_ls8c_ard_3-2-1_105076_2022-06-08_final
2022-06-10 10:39:33	ga_ls8c_ard_3-2-1_103081_2022-06-10_final
2022-06-13 11:08:06	ga_ls8c_ard_3-2-1_108075_2022-06-13_final
2022-06-15 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-06-15_final
2022-07-31 11:08:21	ga_ls8c_ard_3-2-1_108075_2022-07-31_final
2022-08-28 09:52:19	ga_ls8c_ard_3-2-1_096070_2022-08-28_final
2022-09-03 09:18:01	ga_ls8c_ard_3-2-1_090077_2022-09-02_final
2022-10-08 09:46:59	ga_ls8c_ard_3-2-1_095072_2022-10-08_final
2022-10-08 09:50:58	ga_ls8c_ard_3-2-1_095082_2022-10-08_final
2022-10-09 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-10-09_final
2022-10-20 10:10:54	ga_ls8c_ard_3-2-1_099070_2022-10-20_final
2022-10-26 11:18:20	ga_ls8c_ard_3-2-1_109084_2022-10-26_final
2022-11-02 11:24:32	ga_ls8c_ard_3-2-1_110084_2022-11-02_final
2022-11-15 10:50:21	ga_ls8c_ard_3-2-1_105076_2022-11-15_final
2022-11-20 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-11-19_final
2022-12-13 11:12:14	ga_ls8c_ard_3-2-1_109069_2022-12-13_final
2023-01-24 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-01-24_final
2023-02-25 10:08:47	ga_ls8c_ard_3-2-1_099066_2023-02-25_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-03-26 11:19:44	ga_ls8c_ard_3-2-1_110074_2023-03-26_final
2023-03-31 11:42:13	ga_ls8c_ard_3-2-1_113084_2023-03-31_final
2023-04-02 11:23:51	ga_ls8c_ard_3-2-1_111069_2023-04-02_final
2023-04-17 09:06:40	ga_ls8c_ard_3-2-1_088082_2023-04-16_final
2023-05-15 09:27:56	ga_ls8c_ard_3-2-1_092074_2023-05-14_final
2023-06-08 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-06-08_final
2023-06-12 11:31:18	ga_ls8c_ard_3-2-1_112073_2023-06-12_final
2023-07-05 11:37:18	ga_ls8c_ard_3-2-1_113072_2023-07-05_final
2023-07-09 11:13:48	ga_ls8c_ard_3-2-1_109075_2023-07-09_final
2023-07-16 11:17:37	ga_ls8c_ard_3-2-1_110069_2023-07-16_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-10-29 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-10-29_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-11-18 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-17_final
2023-11-25 09:21:44	ga_ls8c_ard_3-2-1_090087_2023-11-24_final
2024-01-11 10:10:03	ga_ls8c_ard_3-2-1_099069_2024-01-11_final
2024-02-07 11:32:22	ga_ls8c_ard_3-2-1_112074_2024-02-07_final
2024-02-11 09:30:21	ga_ls8c_ard_3-2-1_092078_2024-02-11_final
2024-03-17 09:57:46	ga_ls8c_ard_3-2-1_097070_2024-03-17_final
2024-03-31 10:10:44	ga_ls8c_ard_3-2-1_099072_2024-03-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years