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
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-06-14 09:06:49	ga_ls8c_ard_3-0-0_088083_2015-06-13_final
2015-12-01 09:38:23	ga_ls8c_ard_3-0-0_094067_2015-12-01_final
2016-04-05 11:30:19	ga_ls8c_ard_3-0-0_112070_2016-04-05_final
2016-05-09 09:37:48	ga_ls8c_ard_3-0-0_094067_2016-05-09_final
2016-06-01 09:46:28	ga_ls8c_ard_3-0-0_095073_2016-06-01_final
2016-11-17 09:38:34	ga_ls8c_ard_3-0-0_094067_2016-11-17_final
2017-02-28 09:45:28	ga_ls8c_ard_3-0-0_095070_2017-02-28_final
2017-07-31 09:38:11	ga_ls8c_ard_3-0-0_094067_2017-07-31_final
2018-01-30 09:45:54	ga_ls8c_ard_3-0-0_095071_2018-01-30_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-04-11 11:30:49	ga_ls8c_ard_3-0-0_112072_2018-04-11_final
2018-04-29 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-04-29_final
2018-05-29 11:30:18	ga_ls8c_ard_3-0-0_112072_2018-05-29_final
2018-06-07 09:44:48	ga_ls8c_ard_3-0-0_095071_2018-06-07_final
2018-08-19 09:37:41	ga_ls8c_ard_3-0-0_094067_2018-08-19_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-02-25 11:31:10	ga_ls8c_ard_3-0-0_112072_2019-02-25_final
2019-05-02 09:39:39	ga_ls8c_ard_3-0-0_094072_2019-05-02_final
2019-06-22 11:53:04	ga_ls8c_ard_3-1-0_115080_2019-06-22_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2019-10-21 11:42:14	ga_ls8c_ard_3-1-0_114067_2019-10-21_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-03-17 09:40:28	ga_ls8c_ard_3-1-0_094073_2020-03-17_final
2020-03-31 11:30:22	ga_ls8c_ard_3-1-0_112070_2020-03-31_final
2020-04-09 09:46:27	ga_ls8c_ard_3-1-0_095073_2020-04-09_final
2020-06-16 12:37:07	ga_ls8c_ard_3-2-1_123067_2020-06-16_final
2020-06-21 09:37:56	ga_ls8c_ard_3-1-0_094067_2020-06-21_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-12-03 11:38:00	ga_ls8c_ard_3-1-0_113072_2020-12-03_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-03-10 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-03-09_final
2021-04-19 11:31:32	ga_ls8c_ard_3-2-0_112073_2021-04-19_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_final
2021-05-01 11:56:56	ga_ls8c_ard_3-2-0_116075_2021-05-01_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-19 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-06-18_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-08-20 11:14:41	ga_ls8c_ard_3-2-0_109076_2021-08-20_final
2021-09-09 10:46:52	ga_ls8c_ard_3-2-0_105068_2021-09-09_final
2021-10-30 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-30_final
2021-11-17 09:26:12	ga_ls8c_ard_3-2-0_092067_2021-11-16_final
2021-12-03 09:29:49	ga_ls8c_ard_3-2-0_092076_2021-12-02_final
2021-12-30 10:49:15	ga_ls8c_ard_3-2-1_105074_2021-12-30_final
2021-12-30 10:49:39	ga_ls8c_ard_3-2-1_105075_2021-12-30_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-01-22 09:23:16	ga_ls8c_ard_3-2-1_090091_2022-01-21_final
2022-02-10 11:24:12	ga_ls8c_ard_3-2-1_111069_2022-02-10_final
2022-02-22 10:13:09	ga_ls8c_ard_3-2-1_099077_2022-02-22_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-04-20 10:02:46	ga_ls8c_ard_3-2-1_098067_2022-04-20_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-06-07 10:03:26	ga_ls8c_ard_3-2-1_098068_2022-06-07_final
2022-06-12 10:27:37	ga_ls8c_ard_3-2-1_101082_2022-06-12_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-07-25 10:03:18	ga_ls8c_ard_3-2-1_098067_2022-07-25_final
2022-09-05 09:07:41	ga_ls8c_ard_3-2-1_088082_2022-09-04_final
2022-09-17 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-09-16_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-10-26 09:34:40	ga_ls8c_ard_3-2-1_093072_2022-10-26_final
2022-11-15 09:11:04	ga_ls8c_ard_3-2-1_089075_2022-11-14_final
2022-12-02 09:57:56	ga_ls8c_ard_3-2-1_096084_2022-12-02_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-15 10:17:37	ga_ls8c_ard_3-2-1_100072_2023-01-15_final
2023-01-26 09:57:32	ga_ls8c_ard_3-2-1_097068_2023-01-26_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-02-22 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-02-22_final
2023-02-25 10:13:58	ga_ls8c_ard_3-2-1_099079_2023-02-25_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-04-15 09:16:39	ga_ls8c_ard_3-2-1_090076_2023-04-14_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-12 10:38:44	ga_ls8c_ard_3-2-1_103081_2023-05-12_final
2023-06-03 09:56:06	ga_ls8c_ard_3-2-1_097067_2023-06-03_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-08-05 09:22:09	ga_ls8c_ard_3-2-1_090089_2023-08-04_final
2023-08-10 09:33:30	ga_ls8c_ard_3-2-1_093071_2023-08-10_final
2023-09-05 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-09-05_final
2023-09-05 10:15:53	ga_ls8c_ard_3-2-1_099084_2023-09-05_final
2023-09-27 09:34:33	ga_ls8c_ard_3-2-1_093073_2023-09-27_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-10-23 10:14:05	ga_ls8c_ard_3-2-1_099079_2023-10-23_final
2023-10-27 11:24:42	ga_ls8c_ard_3-2-1_111070_2023-10-27_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-12-05 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-12-05_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-02-28 10:13:07	ga_ls8c_ard_3-2-1_099077_2024-02-28_final
2024-03-09 09:13:10	ga_ls8c_ard_3-2-1_089082_2024-03-08_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_final
2024-03-19 09:46:59	ga_ls8c_ard_3-2-1_095074_2024-03-19_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