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
2013-05-04 11:53:01	ga_ls8c_ard_3-0-0_115075_2013-05-04_final
2013-07-07 11:53:12	ga_ls8c_ard_3-0-0_115075_2013-07-07_final
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2013-11-07 11:37:36	ga_ls8c_ard_3-0-0_112083_2013-11-07_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2016-01-23 11:42:31	ga_ls8c_ard_3-0-0_113084_2016-01-23_final
2016-05-07 11:35:51	ga_ls8c_ard_3-0-0_112084_2016-05-07_final
2016-08-23 11:58:43	ga_ls8c_ard_3-0-0_116078_2016-08-23_final
2016-10-14 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-10-14_final
2016-10-14 11:32:11	ga_ls8c_ard_3-0-0_112073_2016-10-14_final
2017-11-18 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-11-18_final
2018-02-02 11:57:15	ga_ls8c_ard_3-0-0_116075_2018-02-02_final
2018-05-13 11:31:18	ga_ls8c_ard_3-0-0_112074_2018-05-13_final
2019-09-12 11:42:18	ga_ls8c_ard_3-1-0_113083_2019-09-12_final
2019-09-19 11:46:31	ga_ls8c_ard_3-1-0_114078_2019-09-19_final
2019-09-21 11:36:10	ga_ls8c_ard_3-1-0_112083_2019-09-21_final
2019-12-22 11:57:39	ga_ls8c_ard_3-1-0_116075_2019-12-22_final
2020-04-05 11:51:40	ga_ls8c_ard_3-1-0_115077_2020-04-05_final
2020-05-30 11:56:52	ga_ls8c_ard_3-1-0_116075_2020-05-30_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-12-09 11:04:55	ga_ls8c_ard_3-1-0_107082_2020-12-09_final
2020-12-18 10:53:32	ga_ls8c_ard_3-2-0_106069_2020-12-18_final
2021-02-26 11:57:48	ga_ls8c_ard_3-2-0_116076_2021-02-26_final
2021-03-06 11:07:53	ga_ls8c_ard_3-2-0_108075_2021-03-06_final
2021-03-11 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-03-11_final
2021-03-24 10:55:23	ga_ls8c_ard_3-2-0_106075_2021-03-24_final
2021-04-15 10:16:36	ga_ls8c_ard_3-2-0_100071_2021-04-15_final
2021-05-01 11:57:44	ga_ls8c_ard_3-2-0_116077_2021-05-01_final
2021-05-12 11:35:12	ga_ls8c_ard_3-2-0_113067_2021-05-12_final
2021-07-03 09:35:32	ga_ls8c_ard_3-2-0_093076_2021-07-03_final
2021-07-10 11:18:13	ga_ls8c_ard_3-2-0_110070_2021-07-10_final
2021-08-05 10:18:59	ga_ls8c_ard_3-2-0_100076_2021-08-05_final
2021-08-14 10:12:52	ga_ls8c_ard_3-2-0_099076_2021-08-14_final
2021-10-30 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-30_final
2021-11-03 10:56:24	ga_ls8c_ard_3-2-0_106076_2021-11-03_final
2021-11-03 10:59:12	ga_ls8c_ard_3-2-0_106083_2021-11-03_final
2021-11-17 09:29:24	ga_ls8c_ard_3-2-0_092075_2021-11-16_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
2021-12-05 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-12-04_final
2022-01-04 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-01-04_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-20 09:34:03	ga_ls8c_ard_3-2-1_092087_2022-01-20_final
2022-02-04 10:28:00	ga_ls8c_ard_3-2-1_101083_2022-02-04_final
2022-02-26 09:46:50	ga_ls8c_ard_3-2-1_095073_2022-02-26_final
2022-04-08 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-08_final
2022-04-10 09:28:52	ga_ls8c_ard_3-2-1_092075_2022-04-09_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-07-31 09:28:17	ga_ls8c_ard_3-2-1_092072_2022-07-30_final
2022-08-01 10:11:33	ga_ls8c_ard_3-2-1_099072_2022-08-01_final
2022-08-07 09:40:30	ga_ls8c_ard_3-2-1_093087_2022-08-07_final
2022-08-16 09:32:23	ga_ls8c_ard_3-2-1_092082_2022-08-16_final
2022-08-23 09:34:59	ga_ls8c_ard_3-2-1_093073_2022-08-23_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-09-11 10:07:09	ga_ls8c_ard_3-2-1_098076_2022-09-11_final
2022-10-04 10:15:44	ga_ls8c_ard_3-2-1_099082_2022-10-04_final
2022-12-20 11:24:43	ga_ls8c_ard_3-2-1_110085_2022-12-20_final
2023-01-01 11:47:50	ga_ls8c_ard_3-2-1_114081_2023-01-01_final
2023-01-05 09:41:02	ga_ls8c_ard_3-2-1_094073_2023-01-05_final
2023-01-26 09:59:08	ga_ls8c_ard_3-2-1_097072_2023-01-26_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-02-02 10:07:19	ga_ls8c_ard_3-2-1_098077_2023-02-02_final
2023-02-12 09:07:50	ga_ls8c_ard_3-2-1_088083_2023-02-11_final
2023-02-24 11:11:36	ga_ls8c_ard_3-2-1_108084_2023-02-24_final
2023-02-26 10:54:50	ga_ls8c_ard_3-2-1_106073_2023-02-26_final
2023-03-08 11:31:51	ga_ls8c_ard_3-2-1_112073_2023-03-08_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-04-05 11:57:29	ga_ls8c_ard_3-2-1_116076_2023-04-05_final
2023-05-07 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-05-07_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-31 09:32:46	ga_ls8c_ard_3-2-1_092086_2023-05-31_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-09 11:01:34	ga_ls8c_ard_3-2-1_107076_2023-06-09_final
2023-06-16 09:27:19	ga_ls8c_ard_3-2-1_092072_2023-06-15_final
2023-07-12 10:09:02	ga_ls8c_ard_3-2-1_098083_2023-07-12_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-09-12 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-09-12_final
2023-09-13 09:26:31	ga_ls8c_ard_3-2-1_091084_2023-09-12_final
2023-09-15 09:14:58	ga_ls8c_ard_3-2-1_089086_2023-09-14_final
2023-09-15 10:51:51	ga_ls8c_ard_3-2-1_105081_2023-09-15_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-15 09:27:02	ga_ls8c_ard_3-2-1_091085_2023-10-14_final
2023-11-07 09:28:50	ga_ls8c_ard_3-2-1_092074_2023-11-06_final
2023-11-19 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-11-19_final
2023-11-26 11:42:41	ga_ls8c_ard_3-2-1_113084_2023-11-26_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-12 09:58:07	ga_ls8c_ard_3-2-1_097070_2023-12-12_final
2023-12-17 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-12-17_final
2023-12-20 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-12-20_final
2023-12-30 09:46:10	ga_ls8c_ard_3-2-1_095071_2023-12-30_final
2024-01-04 11:47:30	ga_ls8c_ard_3-2-1_114081_2024-01-04_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-01-26 09:29:04	ga_ls8c_ard_3-2-1_092075_2024-01-25_final
2024-01-28 10:55:12	ga_ls8c_ard_3-2-1_106074_2024-01-28_final
2024-01-29 11:42:04	ga_ls8c_ard_3-2-1_113083_2024-01-29_final
2024-02-21 10:07:24	ga_ls8c_ard_3-2-1_098078_2024-02-21_final
2024-02-21 10:07:48	ga_ls8c_ard_3-2-1_098079_2024-02-21_final
2024-03-01 11:37:37	ga_ls8c_ard_3-2-1_113072_2024-03-01_final
2024-03-06 10:21:34	ga_ls8c_ard_3-2-1_100083_2024-03-06_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