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
2013-08-17 11:49:02	ga_ls8c_ard_3-0-0_114080_2013-08-17_final
2014-02-09 11:47:10	ga_ls8c_ard_3-0-0_114078_2014-02-09_final
2014-02-16 11:53:14	ga_ls8c_ard_3-0-0_115078_2014-02-16_final
2014-04-05 11:51:23	ga_ls8c_ard_3-0-0_115075_2014-04-05_final
2014-07-28 11:37:34	ga_ls8c_ard_3-0-0_113072_2014-07-28_final
2014-07-30 11:30:01	ga_ls8c_ard_3-0-0_111084_2014-07-30_final
2014-10-30 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-10-30_final
2015-01-11 11:44:40	ga_ls8c_ard_3-0-0_114074_2015-01-11_final
2015-02-19 11:52:13	ga_ls8c_ard_3-0-0_115078_2015-02-19_final
2016-09-12 11:32:29	ga_ls8c_ard_3-0-0_112074_2016-09-12_final
2017-02-17 11:44:33	ga_ls8c_ard_3-0-0_114074_2017-02-17_final
2017-03-28 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-03-28_final
2017-05-01 11:41:19	ga_ls8c_ard_3-0-0_113083_2017-05-01_final
2017-07-02 11:50:59	ga_ls8c_ard_3-0-0_115075_2017-07-02_final
2017-07-11 11:46:25	ga_ls8c_ard_3-0-0_114079_2017-07-11_final
2017-08-14 11:32:42	ga_ls8c_ard_3-0-0_112075_2017-08-14_final
2017-09-24 11:25:52	ga_ls8c_ard_3-0-0_111073_2017-09-24_final
2017-10-01 11:30:54	ga_ls8c_ard_3-0-0_112070_2017-10-01_final
2018-01-05 11:30:48	ga_ls8c_ard_3-0-0_112070_2018-01-05_final
2018-04-02 11:40:41	ga_ls8c_ard_3-0-0_113081_2018-04-02_final
2018-06-21 11:37:24	ga_ls8c_ard_3-0-0_113074_2018-06-21_final
2018-10-02 11:45:58	ga_ls8c_ard_3-0-0_114078_2018-10-02_final
2018-12-30 11:38:19	ga_ls8c_ard_3-0-0_113074_2018-12-30_final
2019-02-14 11:52:33	ga_ls8c_ard_3-0-0_115079_2019-02-14_final
2019-02-16 11:38:11	ga_ls8c_ard_3-0-0_113074_2019-02-16_final
2019-03-13 11:32:16	ga_ls8c_ard_3-1-0_112075_2019-03-13_final
2019-03-13 11:34:16	ga_ls8c_ard_3-1-0_112080_2019-03-13_final
2019-07-03 11:29:23	ga_ls8c_ard_3-1-0_112067_2019-07-03_final
2019-08-02 11:47:29	ga_ls8c_ard_3-1-0_114081_2019-08-02_final
2019-12-16 10:54:17	ga_ls8c_ard_3-2-0_106071_2019-12-16_final
2019-12-31 11:53:26	ga_ls8c_ard_3-1-0_115080_2019-12-31_final
2020-01-11 11:36:27	ga_ls8c_ard_3-1-0_112084_2020-01-11_final
2020-02-17 11:52:26	ga_ls8c_ard_3-1-0_115078_2020-02-17_final
2020-06-26 11:41:47	ga_ls8c_ard_3-1-0_113083_2020-06-26_final
2020-07-14 11:25:09	ga_ls8c_ard_3-1-0_111072_2020-07-14_final
2020-11-10 11:36:08	ga_ls8c_ard_3-1-0_112083_2020-11-10_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2020-12-16 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-12-16_final
2020-12-18 10:54:20	ga_ls8c_ard_3-2-0_106071_2020-12-18_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-09 10:17:32	ga_ls8c_ard_3-2-0_100072_2021-01-09_final
2021-03-11 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-03-11_final
2021-03-24 09:20:54	ga_ls8c_ard_3-2-0_090086_2021-03-23_final
2021-04-07 09:28:48	ga_ls8c_ard_3-2-0_092075_2021-04-06_final
2021-04-10 10:03:17	ga_ls8c_ard_3-2-0_097084_2021-04-10_final
2021-04-21 11:19:33	ga_ls8c_ard_3-2-0_110074_2021-04-21_final
2021-04-30 11:16:52	ga_ls8c_ard_3-2-0_109083_2021-04-30_final
2021-05-09 09:25:47	ga_ls8c_ard_3-2-0_092068_2021-05-08_final
2021-05-20 09:12:33	ga_ls8c_ard_3-2-0_089081_2021-05-19_final
2021-05-20 09:13:21	ga_ls8c_ard_3-2-0_089083_2021-05-19_final
2021-05-23 11:17:35	ga_ls8c_ard_3-2-0_110069_2021-05-23_final
2021-05-26 10:15:12	ga_ls8c_ard_3-2-0_099083_2021-05-26_final
2021-06-10 09:34:27	ga_ls8c_ard_3-2-0_092089_2021-06-10_final
2021-06-12 09:16:55	ga_ls8c_ard_3-2-0_090076_2021-06-11_final
2021-06-12 09:17:19	ga_ls8c_ard_3-2-0_090077_2021-06-11_final
2021-06-19 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-06-18_final
2021-06-29 09:56:40	ga_ls8c_ard_3-2-0_097067_2021-06-29_final
2021-07-22 10:04:31	ga_ls8c_ard_3-2-0_098071_2021-07-22_final
2021-08-07 10:03:27	ga_ls8c_ard_3-2-0_098068_2021-08-07_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-10-01 10:10:17	ga_ls8c_ard_3-2-0_099069_2021-10-01_final
2021-10-12 09:57:47	ga_ls8c_ard_3-2-0_096084_2021-10-12_final
2021-11-17 11:08:17	ga_ls8c_ard_3-2-0_108075_2021-11-17_final
2021-11-20 10:01:53	ga_ls8c_ard_3-2-0_097079_2021-11-20_final
2021-11-28 10:48:58	ga_ls8c_ard_3-2-0_105073_2021-11-28_final
2021-12-10 11:14:29	ga_ls8c_ard_3-2-1_109075_2021-12-10_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2022-01-02 11:20:33	ga_ls8c_ard_3-2-1_110075_2022-01-02_final
2022-01-03 10:24:56	ga_ls8c_ard_3-2-1_101075_2022-01-03_final
2022-01-05 11:52:39	ga_ls8c_ard_3-2-1_115078_2022-01-05_final
2022-01-07 11:38:41	ga_ls8c_ard_3-2-1_113074_2022-01-07_final
2022-04-01 11:12:40	ga_ls8c_ard_3-2-1_109072_2022-04-01_final
2022-04-15 11:25:08	ga_ls8c_ard_3-2-1_111072_2022-04-15_final
2022-05-31 10:01:32	ga_ls8c_ard_3-2-1_097079_2022-05-31_final
2022-06-17 09:06:55	ga_ls8c_ard_3-2-1_088081_2022-06-16_final
2022-07-06 11:17:10	ga_ls8c_ard_3-2-1_109082_2022-07-06_final
2022-07-10 10:47:15	ga_ls8c_ard_3-2-1_105069_2022-07-10_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-07-22 11:14:02	ga_ls8c_ard_3-2-1_109074_2022-07-22_final
2022-08-17 10:14:51	ga_ls8c_ard_3-2-1_099080_2022-08-17_final
2022-08-17 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-08-17_final
2022-08-19 09:58:30	ga_ls8c_ard_3-2-1_097070_2022-08-19_final
2022-08-24 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-08-24_final
2022-09-09 10:21:29	ga_ls8c_ard_3-2-1_100081_2022-09-09_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-10-11 10:21:02	ga_ls8c_ard_3-2-1_100080_2022-10-11_final
2022-10-25 10:29:05	ga_ls8c_ard_3-2-1_102069_2022-10-25_final
2022-11-02 09:41:16	ga_ls8c_ard_3-2-1_094073_2022-11-02_final
2022-11-13 09:27:51	ga_ls8c_ard_3-2-1_091086_2022-11-12_final
2022-11-15 10:52:45	ga_ls8c_ard_3-2-1_105082_2022-11-15_final
2022-11-18 11:20:25	ga_ls8c_ard_3-2-1_110074_2022-11-18_final
2022-11-22 09:21:38	ga_ls8c_ard_3-2-1_090086_2022-11-21_final
2022-12-08 09:18:27	ga_ls8c_ard_3-2-1_090078_2022-12-07_final
2022-12-13 09:35:45	ga_ls8c_ard_3-2-1_093075_2022-12-13_final
2023-01-21 09:45:44	ga_ls8c_ard_3-2-1_094085_2023-01-21_final
2023-02-11 09:59:29	ga_ls8c_ard_3-2-1_097073_2023-02-11_final
2023-02-23 10:23:35	ga_ls8c_ard_3-2-1_101072_2023-02-23_final
2023-02-26 09:16:45	ga_ls8c_ard_3-2-1_090075_2023-02-25_final
2023-03-07 10:48:12	ga_ls8c_ard_3-2-1_105072_2023-03-07_final
2023-03-08 11:36:14	ga_ls8c_ard_3-2-1_112084_2023-03-08_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