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
2014-03-07 09:07:18	ga_ls8c_ard_3-1-0_088081_2014-03-06_final
2014-09-15 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-09-14_final
2014-10-27 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-10-27_final
2015-05-13 09:06:10	ga_ls8c_ard_3-0-0_088082_2015-05-12_final
2015-09-28 09:40:38	ga_ls8c_ard_3-0-0_094073_2015-09-28_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-21 09:07:17	ga_ls8c_ard_3-0-0_088082_2015-11-20_final
2016-02-19 09:39:43	ga_ls8c_ard_3-0-0_094071_2016-02-19_final
2016-06-01 09:46:04	ga_ls8c_ard_3-0-0_095072_2016-06-01_final
2016-10-16 09:38:34	ga_ls8c_ard_3-0-0_094067_2016-10-16_final
2016-12-19 09:40:52	ga_ls8c_ard_3-0-0_094073_2016-12-19_final
2017-01-27 09:45:41	ga_ls8c_ard_3-0-0_095070_2017-01-27_final
2017-02-05 09:41:02	ga_ls8c_ard_3-0-0_094074_2017-02-05_final
2017-06-13 09:45:54	ga_ls8c_ard_3-0-0_094087_2017-06-13_final
2017-06-29 09:40:24	ga_ls8c_ard_3-0-0_094073_2017-06-29_final
2017-11-26 09:06:54	ga_ls8c_ard_3-1-0_088081_2017-11-25_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2019-01-17 09:46:14	ga_ls8c_ard_3-0-0_095072_2019-01-17_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-06-25 09:06:37	ga_ls8c_ard_3-1-0_088081_2019-06-24_final
2019-11-16 09:07:53	ga_ls8c_ard_3-1-0_088083_2019-11-15_final
2020-05-20 09:40:27	ga_ls8c_ard_3-1-0_094074_2020-05-20_final
2020-09-09 09:45:13	ga_ls8c_ard_3-1-0_094084_2020-09-09_final
2020-10-17 09:07:04	ga_ls8c_ard_3-1-0_088081_2020-10-16_final
2021-03-08 10:55:30	ga_ls8c_ard_3-2-0_106075_2021-03-08_final
2021-03-21 10:23:42	ga_ls8c_ard_3-2-0_101073_2021-03-21_final
2021-03-23 10:10:56	ga_ls8c_ard_3-2-0_099072_2021-03-23_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-26 09:58:22	ga_ls8c_ard_3-2-0_097072_2021-04-26_final
2021-04-28 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-04-28_final
2021-04-30 11:16:28	ga_ls8c_ard_3-2-0_109082_2021-04-30_final
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-24 10:25:09	ga_ls8c_ard_3-2-0_101077_2021-05-24_final
2021-05-26 10:10:49	ga_ls8c_ard_3-2-0_099072_2021-05-26_final
2021-06-01 11:13:52	ga_ls8c_ard_3-2-0_109075_2021-06-01_final
2021-06-18 10:16:45	ga_ls8c_ard_3-2-0_100071_2021-06-18_final
2021-06-23 10:34:07	ga_ls8c_ard_3-2-0_103068_2021-06-23_final
2021-06-26 11:05:50	ga_ls8c_ard_3-2-0_108070_2021-06-26_final
2021-07-04 10:21:36	ga_ls8c_ard_3-2-0_100083_2021-07-04_final
2021-07-10 11:20:13	ga_ls8c_ard_3-2-0_110075_2021-07-10_final
2021-07-12 11:09:27	ga_ls8c_ard_3-2-0_108079_2021-07-12_final
2021-07-29 11:51:38	ga_ls8c_ard_3-2-0_115076_2021-07-29_final
2021-07-29 11:52:02	ga_ls8c_ard_3-2-0_115077_2021-07-29_final
2021-08-12 10:25:37	ga_ls8c_ard_3-2-0_101077_2021-08-12_final
2021-08-25 11:30:52	ga_ls8c_ard_3-2-0_112070_2021-08-25_final
2021-09-05 11:11:59	ga_ls8c_ard_3-2-0_109069_2021-09-05_final
2021-09-09 09:11:59	ga_ls8c_ard_3-2-0_089078_2021-09-08_final
2021-09-15 10:14:12	ga_ls8c_ard_3-2-0_099079_2021-09-15_final
2021-09-24 10:10:02	ga_ls8c_ard_3-2-0_098084_2021-09-24_final
2021-09-27 10:34:35	ga_ls8c_ard_3-2-0_103068_2021-09-27_final
2021-09-28 11:17:27	ga_ls8c_ard_3-2-0_110067_2021-09-28_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-10-01 11:52:22	ga_ls8c_ard_3-2-0_115077_2021-10-01_final
2021-10-03 11:38:01	ga_ls8c_ard_3-2-0_113072_2021-10-03_final
2021-10-17 10:14:45	ga_ls8c_ard_3-2-0_099080_2021-10-17_final
2021-10-22 10:30:30	ga_ls8c_ard_3-2-0_102073_2021-10-22_final
2021-11-01 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-11-01_final
2021-11-12 10:52:34	ga_ls8c_ard_3-2-0_105082_2021-11-12_final
2021-11-28 10:50:10	ga_ls8c_ard_3-2-0_105076_2021-11-28_final
2021-12-15 11:36:36	ga_ls8c_ard_3-2-1_112084_2021-12-15_final
2021-12-20 11:51:32	ga_ls8c_ard_3-2-1_115075_2021-12-20_final
2022-01-10 10:28:18	ga_ls8c_ard_3-2-1_102068_2022-01-10_final
2022-01-25 09:50:33	ga_ls8c_ard_3-2-1_095082_2022-01-25_final
2022-02-21 11:07:34	ga_ls8c_ard_3-2-1_108074_2022-02-21_final
2022-02-26 09:52:25	ga_ls8c_ard_3-2-1_095087_2022-02-26_final
2023-05-07 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-05-07_final
2023-08-04 10:10:59	ga_ls8c_ard_3-2-1_099072_2023-08-04_final
2023-09-28 10:17:25	ga_ls8c_ard_3-2-1_100072_2023-09-28_final
2023-10-01 10:46:44	ga_ls8c_ard_3-2-1_105068_2023-10-01_final
2023-10-12 10:30:14	ga_ls8c_ard_3-2-1_102073_2023-10-12_final
2023-10-17 09:15:04	ga_ls8c_ard_3-2-1_089086_2023-10-16_final
2023-10-24 09:22:52	ga_ls8c_ard_3-2-1_090090_2023-10-23_final
2023-10-31 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-10-31_final
2023-11-03 11:32:28	ga_ls8c_ard_3-2-1_112074_2023-11-03_final
2023-11-06 10:27:40	ga_ls8c_ard_3-2-1_101082_2023-11-06_final
2023-11-08 11:52:57	ga_ls8c_ard_3-2-1_115079_2023-11-08_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-12-02 09:25:04	ga_ls8c_ard_3-2-1_091080_2023-12-01_final
2023-12-10 10:09:39	ga_ls8c_ard_3-2-1_099068_2023-12-10_final
2023-12-11 10:53:44	ga_ls8c_ard_3-2-1_106070_2023-12-11_final
2023-12-15 10:28:15	ga_ls8c_ard_3-2-1_102068_2023-12-15_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-21 11:36:05	ga_ls8c_ard_3-2-1_112083_2023-12-21_final
2023-12-23 11:20:31	ga_ls8c_ard_3-2-1_110075_2023-12-23_final
2023-12-26 10:11:43	ga_ls8c_ard_3-2-1_099073_2023-12-26_final
2024-01-10 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-01-10_final
2024-01-12 09:20:25	ga_ls8c_ard_3-2-1_090084_2024-01-11_final
2024-01-16 10:29:00	ga_ls8c_ard_3-2-1_102070_2024-01-16_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-01-31 11:25:20	ga_ls8c_ard_3-2-1_111072_2024-01-31_final
2024-02-03 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-03_final
2024-02-06 10:49:30	ga_ls8c_ard_3-2-1_105075_2024-02-06_final
2024-02-12 10:16:00	ga_ls8c_ard_3-2-1_099084_2024-02-12_final
2024-02-14 11:38:31	ga_ls8c_ard_3-2-1_113074_2024-02-14_final
2024-02-25 11:19:32	ga_ls8c_ard_3-2-1_110073_2024-02-25_final
2024-03-23 11:04:40	ga_ls8c_ard_3-2-1_107083_2024-03-23_nrt
2024-03-28 11:18:42	ga_ls8c_ard_3-2-1_110072_2024-03-28_nrt
2024-04-02 10:00:46	ga_ls8c_ard_3-2-1_097078_2024-04-02_final
2024-04-04 09:46:01	ga_ls8c_ard_3-2-1_095072_2024-04-04_nrt
2024-04-11 09:51:22	ga_ls8c_ard_3-2-1_096070_2024-04-11_nrt

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