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
2014-07-07 09:45:14	ga_ls8c_ard_3-0-0_094085_2014-07-07_final
2014-07-09 09:32:54	ga_ls8c_ard_3-0-0_092085_2014-07-09_final
2014-07-28 10:03:52	ga_ls8c_ard_3-0-0_097085_2014-07-28_final
2014-07-30 09:51:32	ga_ls8c_ard_3-0-0_095085_2014-07-30_final
2014-08-06 09:57:47	ga_ls8c_ard_3-0-0_096085_2014-08-06_final
2014-08-08 09:45:26	ga_ls8c_ard_3-0-0_094085_2014-08-08_final
2014-08-13 10:04:00	ga_ls8c_ard_3-0-0_097085_2014-08-13_final
2014-08-15 09:51:39	ga_ls8c_ard_3-0-0_095085_2014-08-15_final
2014-08-22 09:57:51	ga_ls8c_ard_3-0-0_096085_2014-08-22_final
2014-08-24 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-08-24_final
2014-08-29 10:04:01	ga_ls8c_ard_3-0-0_097085_2014-08-29_final
2014-08-31 09:51:41	ga_ls8c_ard_3-0-0_095085_2014-08-31_final
2014-09-05 10:10:15	ga_ls8c_ard_3-0-0_098085_2014-09-05_final
2014-09-06 09:14:38	ga_ls8c_ard_3-0-0_089085_2014-09-05_final
2014-09-07 09:57:54	ga_ls8c_ard_3-0-0_096085_2014-09-07_final
2014-09-09 09:45:33	ga_ls8c_ard_3-0-0_094085_2014-09-09_final
2014-09-14 10:04:06	ga_ls8c_ard_3-0-0_097085_2014-09-14_final
2014-09-16 09:51:44	ga_ls8c_ard_3-0-0_095085_2014-09-16_final
2014-09-18 09:39:22	ga_ls8c_ard_3-1-0_093085_2014-09-18_final
2014-09-20 09:26:59	ga_ls8c_ard_3-0-0_091085_2014-09-19_final
2014-09-21 10:10:14	ga_ls8c_ard_3-0-0_098085_2014-09-21_final
2014-09-22 09:14:37	ga_ls8c_ard_3-0-0_089085_2014-09-21_final
2014-09-23 09:57:52	ga_ls8c_ard_3-0-0_096085_2014-09-23_final
2014-09-25 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-09-25_final
2014-11-10 09:58:00	ga_ls8c_ard_3-0-0_096085_2014-11-10_final
2014-11-12 09:45:39	ga_ls8c_ard_3-0-0_094085_2014-11-12_final
2014-12-21 09:51:43	ga_ls8c_ard_3-0-0_095085_2014-12-21_final
2014-12-28 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-28_final
2014-12-30 09:45:27	ga_ls8c_ard_3-0-0_094085_2014-12-30_final
2017-04-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2017-04-10_final
2017-04-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2017-04-10_final
2017-04-14 09:20:09	ga_ls8c_ard_3-0-0_090085_2017-04-13_final
2017-05-28 09:44:59	ga_ls8c_ard_3-0-0_094085_2017-05-28_final
2017-05-28 11:23:52	ga_ls8c_ard_3-0-0_110085_2017-05-28_final
2017-05-30 09:32:38	ga_ls8c_ard_3-0-0_092085_2017-05-30_final
2017-05-30 11:11:31	ga_ls8c_ard_3-0-0_108085_2017-05-30_final
2017-05-31 10:15:30	ga_ls8c_ard_3-0-0_099084_2017-05-31_final
2017-05-31 10:15:54	ga_ls8c_ard_3-0-0_099085_2017-05-31_final
2017-06-01 09:20:18	ga_ls8c_ard_3-0-0_090085_2017-05-31_final
2017-06-06 09:38:52	ga_ls8c_ard_3-0-0_093085_2017-06-06_final
2017-06-06 11:17:45	ga_ls8c_ard_3-0-0_109085_2017-06-06_final
2017-06-07 10:22:09	ga_ls8c_ard_3-0-0_100085_2017-06-07_final
2017-06-08 09:26:32	ga_ls8c_ard_3-0-0_091085_2017-06-07_final
2017-06-08 11:05:25	ga_ls8c_ard_3-0-0_107085_2017-06-08_final
2017-06-16 10:16:01	ga_ls8c_ard_3-0-0_099085_2017-06-16_final
2017-06-17 09:20:24	ga_ls8c_ard_3-0-0_090085_2017-06-16_final
2017-06-17 10:58:53	ga_ls8c_ard_3-0-0_106084_2017-06-17_final
2017-06-18 10:03:40	ga_ls8c_ard_3-0-0_097085_2017-06-18_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-06-20 11:30:12	ga_ls8c_ard_3-0-0_111085_2017-06-20_final
2017-08-03 10:16:17	ga_ls8c_ard_3-0-0_099085_2017-08-03_final
2017-08-04 09:20:40	ga_ls8c_ard_3-0-0_090085_2017-08-03_final
2017-08-05 10:03:57	ga_ls8c_ard_3-0-0_097085_2017-08-05_final
2017-08-07 09:51:36	ga_ls8c_ard_3-0-0_095085_2017-08-07_final
2017-08-07 11:30:29	ga_ls8c_ard_3-0-0_111085_2017-08-07_final
2017-08-19 10:16:23	ga_ls8c_ard_3-0-0_099085_2017-08-19_final
2017-08-20 09:20:46	ga_ls8c_ard_3-0-0_090085_2017-08-19_final
2017-08-21 10:04:02	ga_ls8c_ard_3-0-0_097085_2017-08-21_final
2017-08-22 09:08:01	ga_ls8c_ard_3-0-0_088084_2017-08-21_final
2017-08-23 09:51:40	ga_ls8c_ard_3-0-0_095085_2017-08-23_final
2017-08-23 11:30:33	ga_ls8c_ard_3-0-0_111085_2017-08-23_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-02-03 09:14:53	ga_ls8c_ard_3-2-1_089085_2023-02-02_final
2023-03-07 09:14:31	ga_ls8c_ard_3-2-1_089085_2023-03-06_final
2023-03-08 09:57:45	ga_ls8c_ard_3-2-1_096085_2023-03-08_final
2023-03-10 09:45:23	ga_ls8c_ard_3-2-1_094085_2023-03-10_final
2023-03-10 11:24:16	ga_ls8c_ard_3-2-1_110085_2023-03-10_final
2023-03-12 09:33:02	ga_ls8c_ard_3-2-1_092085_2023-03-12_final
2023-03-13 10:16:17	ga_ls8c_ard_3-2-1_099085_2023-03-13_final
2023-03-14 09:20:40	ga_ls8c_ard_3-2-1_090085_2023-03-13_final
2023-03-21 09:26:45	ga_ls8c_ard_3-2-1_091085_2023-03-20_final
2023-03-22 10:10:00	ga_ls8c_ard_3-2-1_098085_2023-03-22_final
2023-03-23 09:14:21	ga_ls8c_ard_3-2-1_089085_2023-03-22_final
2023-03-24 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-03-24_final
2023-03-26 09:45:14	ga_ls8c_ard_3-2-1_094085_2023-03-26_final
2023-03-26 11:24:07	ga_ls8c_ard_3-2-1_110085_2023-03-26_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-03-29 10:16:07	ga_ls8c_ard_3-2-1_099085_2023-03-29_final
2023-03-30 09:20:29	ga_ls8c_ard_3-2-1_090085_2023-03-29_final
2023-03-31 10:03:44	ga_ls8c_ard_3-2-1_097085_2023-03-31_final
2023-04-02 09:51:21	ga_ls8c_ard_3-2-1_095085_2023-04-02_final
2023-04-04 09:38:57	ga_ls8c_ard_3-2-1_093085_2023-04-04_final
2023-04-06 09:26:33	ga_ls8c_ard_3-2-1_091085_2023-04-05_final
2023-04-07 10:09:47	ga_ls8c_ard_3-2-1_098085_2023-04-07_final
2023-04-08 09:14:09	ga_ls8c_ard_3-2-1_089085_2023-04-07_final
2023-04-09 09:57:23	ga_ls8c_ard_3-2-1_096085_2023-04-09_final
2023-04-11 09:44:58	ga_ls8c_ard_3-2-1_094085_2023-04-11_final
2023-04-11 11:23:51	ga_ls8c_ard_3-2-1_110085_2023-04-11_final
2023-04-13 09:32:37	ga_ls8c_ard_3-2-1_092085_2023-04-13_final
2023-04-14 10:15:52	ga_ls8c_ard_3-2-1_099085_2023-04-14_final
2023-04-15 09:20:14	ga_ls8c_ard_3-2-1_090085_2023-04-14_final
2023-04-16 10:03:30	ga_ls8c_ard_3-2-1_097085_2023-04-16_final
2023-04-20 09:38:44	ga_ls8c_ard_3-2-1_093085_2023-04-20_final
2023-04-27 09:44:55	ga_ls8c_ard_3-2-1_094085_2023-04-27_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