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
2013-04-26 09:28:37	ga_ls8c_ard_3-0-0_091085_2013-04-25_final
2013-05-26 09:41:17	ga_ls8c_ard_3-0-0_093085_2013-05-26_final
2013-09-11 10:05:57	ga_ls8c_ard_3-0-0_097085_2013-09-11_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2017-05-12 09:44:24	ga_ls8c_ard_3-0-0_094084_2017-05-12_final
2017-05-12 09:44:48	ga_ls8c_ard_3-0-0_094085_2017-05-12_final
2017-05-12 11:23:41	ga_ls8c_ard_3-0-0_110085_2017-05-12_final
2017-05-13 10:27:41	ga_ls8c_ard_3-0-0_101084_2017-05-13_final
2017-05-14 09:32:28	ga_ls8c_ard_3-0-0_092085_2017-05-14_final
2017-05-14 11:11:21	ga_ls8c_ard_3-0-0_108085_2017-05-14_final
2017-05-15 10:15:44	ga_ls8c_ard_3-0-0_099085_2017-05-15_final
2017-05-16 09:20:08	ga_ls8c_ard_3-0-0_090085_2017-05-15_final
2017-05-16 10:58:37	ga_ls8c_ard_3-0-0_106084_2017-05-16_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
2017-06-16 10:15:37	ga_ls8c_ard_3-0-0_099084_2017-06-16_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
2017-06-19 09:07:39	ga_ls8c_ard_3-0-0_088084_2017-06-18_final
2017-06-20 09:50:55	ga_ls8c_ard_3-0-0_095084_2017-06-20_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-06-20 11:29:48	ga_ls8c_ard_3-0-0_111084_2017-06-20_final
2017-06-20 11:30:12	ga_ls8c_ard_3-0-0_111085_2017-06-20_final
2017-07-02 10:15:42	ga_ls8c_ard_3-0-0_099084_2017-07-02_final
2017-07-02 10:16:06	ga_ls8c_ard_3-0-0_099085_2017-07-02_final
2017-07-03 09:20:28	ga_ls8c_ard_3-0-0_090085_2017-07-02_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2017-08-03 10:16:17	ga_ls8c_ard_3-0-0_099085_2017-08-03_final
2017-08-04 09:20:16	ga_ls8c_ard_3-0-0_090084_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
2017-08-06 09:07:56	ga_ls8c_ard_3-0-0_088084_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 10:15:59	ga_ls8c_ard_3-0-0_099084_2017-08-19_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
2022-05-26 11:23:49	ga_ls8c_ard_3-2-1_110084_2022-05-26_final
2022-05-26 11:24:13	ga_ls8c_ard_3-2-1_110085_2022-05-26_final
2022-05-28 09:32:35	ga_ls8c_ard_3-2-1_092084_2022-05-28_final
2022-05-28 09:32:58	ga_ls8c_ard_3-2-1_092085_2022-05-28_final
2022-05-29 10:16:15	ga_ls8c_ard_3-2-1_099085_2022-05-29_final
2022-05-30 09:20:15	ga_ls8c_ard_3-2-1_090084_2022-05-29_final
2022-05-30 09:20:39	ga_ls8c_ard_3-2-1_090085_2022-05-29_final
2022-05-31 10:03:56	ga_ls8c_ard_3-2-1_097085_2022-05-31_final
2022-06-02 09:51:36	ga_ls8c_ard_3-2-1_095085_2022-06-02_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-05 10:22:09	ga_ls8c_ard_3-2-1_100084_2022-06-05_final
2022-06-06 09:26:56	ga_ls8c_ard_3-2-1_091085_2022-06-05_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-03-19 09:39:09	ga_ls8c_ard_3-2-1_093085_2023-03-19_final
2023-03-21 09:26:45	ga_ls8c_ard_3-2-1_091085_2023-03-20_final
2023-03-24 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-03-24_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
2023-04-18 09:51:07	ga_ls8c_ard_3-2-1_095085_2023-04-18_final
2023-04-20 09:38:44	ga_ls8c_ard_3-2-1_093085_2023-04-20_final
2023-04-24 09:14:02	ga_ls8c_ard_3-2-1_089085_2023-04-23_final
2023-04-25 09:57:17	ga_ls8c_ard_3-2-1_096085_2023-04-25_final
2023-04-27 09:44:55	ga_ls8c_ard_3-2-1_094085_2023-04-27_final
2023-04-27 11:23:48	ga_ls8c_ard_3-2-1_110085_2023-04-27_final
2023-07-05 10:03:36	ga_ls8c_ard_3-2-1_097085_2023-07-05_final
2023-07-07 09:51:16	ga_ls8c_ard_3-2-1_095085_2023-07-07_final
2023-07-07 11:29:45	ga_ls8c_ard_3-2-1_111084_2023-07-07_final
2023-07-09 09:38:55	ga_ls8c_ard_3-2-1_093085_2023-07-09_final
2023-07-13 09:14:13	ga_ls8c_ard_3-2-1_089085_2023-07-12_final
2023-07-14 09:57:05	ga_ls8c_ard_3-2-1_096084_2023-07-14_final
2023-07-14 09:57:29	ga_ls8c_ard_3-2-1_096085_2023-07-14_final
2023-07-16 09:44:43	ga_ls8c_ard_3-2-1_094084_2023-07-16_final
2023-07-16 09:45:07	ga_ls8c_ard_3-2-1_094085_2023-07-16_final
2023-07-16 11:23:36	ga_ls8c_ard_3-2-1_110084_2023-07-16_final
2023-07-16 11:24:00	ga_ls8c_ard_3-2-1_110085_2023-07-16_final
2023-07-18 09:32:45	ga_ls8c_ard_3-2-1_092085_2023-07-18_final
2023-07-19 10:15:37	ga_ls8c_ard_3-2-1_099084_2023-07-19_final
2023-07-19 10:16:01	ga_ls8c_ard_3-2-1_099085_2023-07-19_final
2023-07-20 09:20:23	ga_ls8c_ard_3-2-1_090085_2023-07-19_final
2023-07-21 10:03:39	ga_ls8c_ard_3-2-1_097085_2023-07-21_final
2023-07-23 09:50:56	ga_ls8c_ard_3-2-1_095084_2023-07-23_final
2023-07-23 09:51:20	ga_ls8c_ard_3-2-1_095085_2023-07-23_final
2023-07-23 11:29:49	ga_ls8c_ard_3-2-1_111084_2023-07-23_final
2023-07-25 09:39:00	ga_ls8c_ard_3-2-1_093085_2023-07-25_final
2023-07-25 11:17:29	ga_ls8c_ard_3-2-1_109084_2023-07-25_final
2023-07-26 10:21:52	ga_ls8c_ard_3-2-1_100084_2023-07-26_final
2023-07-27 09:26:40	ga_ls8c_ard_3-2-1_091085_2023-07-26_final
2023-07-28 10:09:32	ga_ls8c_ard_3-2-1_098084_2023-07-28_final
2023-07-28 10:09:56	ga_ls8c_ard_3-2-1_098085_2023-07-28_final
2023-07-29 09:14:19	ga_ls8c_ard_3-2-1_089085_2023-07-28_final
2023-08-03 09:32:54	ga_ls8c_ard_3-2-1_092085_2023-08-03_final
2023-08-03 11:11:23	ga_ls8c_ard_3-2-1_108084_2023-08-03_final
2023-08-04 10:16:10	ga_ls8c_ard_3-2-1_099085_2023-08-04_final
2023-08-05 09:20:09	ga_ls8c_ard_3-2-1_090084_2023-08-04_final
2023-08-05 09:20:33	ga_ls8c_ard_3-2-1_090085_2023-08-04_final
2023-08-06 10:03:25	ga_ls8c_ard_3-2-1_097084_2023-08-06_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