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
2015-01-17 09:32:40	ga_ls8c_ard_3-0-0_092084_2015-01-17_final
2015-01-17 09:33:04	ga_ls8c_ard_3-0-0_092085_2015-01-17_final
2015-01-17 11:11:33	ga_ls8c_ard_3-0-0_108084_2015-01-17_final
2015-01-19 09:20:17	ga_ls8c_ard_3-0-0_090084_2015-01-18_final
2015-01-19 09:20:41	ga_ls8c_ard_3-0-0_090085_2015-01-18_final
2015-02-09 09:38:43	ga_ls8c_ard_3-0-0_093084_2015-02-09_final
2015-02-09 09:39:07	ga_ls8c_ard_3-0-0_093085_2015-02-09_final
2015-02-09 11:17:36	ga_ls8c_ard_3-0-0_109084_2015-02-09_final
2015-02-16 09:45:13	ga_ls8c_ard_3-0-0_094085_2015-02-16_final
2015-02-18 09:32:28	ga_ls8c_ard_3-0-0_092084_2015-02-18_final
2015-02-18 09:32:52	ga_ls8c_ard_3-0-0_092085_2015-02-18_final
2015-02-20 09:20:30	ga_ls8c_ard_3-0-0_090085_2015-02-19_final
2015-02-20 10:58:59	ga_ls8c_ard_3-0-0_106084_2015-02-20_final
2015-02-28 10:09:55	ga_ls8c_ard_3-0-0_098085_2015-02-28_final
2015-03-01 09:14:17	ga_ls8c_ard_3-0-0_089085_2015-02-28_final
2015-03-06 09:32:46	ga_ls8c_ard_3-0-0_092085_2015-03-06_final
2015-03-06 11:11:39	ga_ls8c_ard_3-0-0_108085_2015-03-06_final
2015-03-08 09:20:23	ga_ls8c_ard_3-0-0_090085_2015-03-07_final
2015-03-24 09:19:50	ga_ls8c_ard_3-0-0_090084_2015-03-23_final
2015-03-24 09:20:14	ga_ls8c_ard_3-0-0_090085_2015-03-23_final
2015-04-07 09:32:26	ga_ls8c_ard_3-0-0_092085_2015-04-07_final
2015-04-08 10:15:41	ga_ls8c_ard_3-0-0_099085_2015-04-08_final
2015-04-09 09:20:04	ga_ls8c_ard_3-0-0_090085_2015-04-08_final
2015-04-24 10:15:39	ga_ls8c_ard_3-0-0_099085_2015-04-24_final
2015-04-25 09:20:01	ga_ls8c_ard_3-0-0_090085_2015-04-24_final
2015-04-25 10:58:30	ga_ls8c_ard_3-0-0_106084_2015-04-25_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-04-28 09:50:52	ga_ls8c_ard_3-0-0_095085_2015-04-28_final
2015-04-28 11:29:45	ga_ls8c_ard_3-0-0_111085_2015-04-28_final
2015-05-23 09:44:04	ga_ls8c_ard_3-0-0_094084_2015-05-23_final
2015-05-23 09:44:28	ga_ls8c_ard_3-0-0_094085_2015-05-23_final
2015-05-23 11:22:57	ga_ls8c_ard_3-0-0_110084_2015-05-23_final
2015-05-25 09:31:43	ga_ls8c_ard_3-0-0_092084_2015-05-25_final
2015-05-25 09:32:07	ga_ls8c_ard_3-0-0_092085_2015-05-25_final
2015-05-25 11:10:36	ga_ls8c_ard_3-0-0_108084_2015-05-25_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2015-06-08 09:44:14	ga_ls8c_ard_3-0-0_094084_2015-06-08_final
2015-06-08 09:44:38	ga_ls8c_ard_3-0-0_094085_2015-06-08_final
2015-06-08 11:23:07	ga_ls8c_ard_3-0-0_110084_2015-06-08_final
2015-06-08 11:23:31	ga_ls8c_ard_3-0-0_110085_2015-06-08_final
2015-06-09 10:27:30	ga_ls8c_ard_3-0-0_101084_2015-06-09_final
2015-06-10 09:31:53	ga_ls8c_ard_3-0-0_092084_2015-06-10_final
2015-06-10 09:32:17	ga_ls8c_ard_3-0-0_092085_2015-06-10_final
2015-06-10 11:10:47	ga_ls8c_ard_3-0-0_108084_2015-06-10_final
2015-06-10 11:11:10	ga_ls8c_ard_3-0-0_108085_2015-06-10_final
2015-06-11 10:15:10	ga_ls8c_ard_3-0-0_099084_2015-06-11_final
2015-06-11 10:15:34	ga_ls8c_ard_3-0-0_099085_2015-06-11_final
2015-06-12 09:19:33	ga_ls8c_ard_3-0-0_090084_2015-06-11_final
2015-06-12 09:19:57	ga_ls8c_ard_3-0-0_090085_2015-06-11_final
2015-06-12 10:58:26	ga_ls8c_ard_3-0-0_106084_2015-06-12_final
2015-06-13 10:02:49	ga_ls8c_ard_3-0-0_097084_2015-06-13_final
2015-06-13 10:03:13	ga_ls8c_ard_3-0-0_097085_2015-06-13_final
2015-06-13 11:41:42	ga_ls8c_ard_3-0-0_113084_2015-06-13_final
2015-06-14 09:07:12	ga_ls8c_ard_3-0-0_088084_2015-06-13_final
2015-06-15 09:50:29	ga_ls8c_ard_3-0-0_095084_2015-06-15_final
2015-06-15 09:50:53	ga_ls8c_ard_3-0-0_095085_2015-06-15_final
2015-06-15 11:29:22	ga_ls8c_ard_3-0-0_111084_2015-06-15_final
2015-06-15 11:29:46	ga_ls8c_ard_3-0-0_111085_2015-06-15_final
2022-01-25 09:51:21	ga_ls8c_ard_3-2-1_095084_2022-01-25_final
2022-01-25 09:51:45	ga_ls8c_ard_3-2-1_095085_2022-01-25_final
2022-04-08 09:45:12	ga_ls8c_ard_3-2-1_094085_2022-04-08_final
2022-04-08 11:23:41	ga_ls8c_ard_3-2-1_110084_2022-04-08_final
2022-04-08 11:24:05	ga_ls8c_ard_3-2-1_110085_2022-04-08_final
2022-04-10 09:32:52	ga_ls8c_ard_3-2-1_092085_2022-04-10_final
2022-04-11 10:16:08	ga_ls8c_ard_3-2-1_099085_2022-04-11_final
2022-04-12 09:20:31	ga_ls8c_ard_3-2-1_090085_2022-04-11_final
2022-04-13 10:03:23	ga_ls8c_ard_3-2-1_097084_2022-04-13_final
2022-04-13 10:03:47	ga_ls8c_ard_3-2-1_097085_2022-04-13_final
2022-04-15 09:51:02	ga_ls8c_ard_3-2-1_095084_2022-04-15_final
2022-04-15 09:51:26	ga_ls8c_ard_3-2-1_095085_2022-04-15_final
2022-04-15 11:29:55	ga_ls8c_ard_3-2-1_111084_2022-04-15_final
2022-04-17 09:38:40	ga_ls8c_ard_3-2-1_093084_2022-04-17_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-17 11:17:33	ga_ls8c_ard_3-2-1_109084_2022-04-17_final
2022-04-18 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-04-18_final
2022-04-19 09:26:18	ga_ls8c_ard_3-2-1_091084_2022-04-18_final
2022-04-19 09:26:42	ga_ls8c_ard_3-2-1_091085_2022-04-18_final
2022-04-19 11:05:11	ga_ls8c_ard_3-2-1_107084_2022-04-19_final
2022-04-20 10:09:33	ga_ls8c_ard_3-2-1_098084_2022-04-20_final
2022-04-20 10:09:57	ga_ls8c_ard_3-2-1_098085_2022-04-20_final
2022-04-22 11:36:04	ga_ls8c_ard_3-2-1_112084_2022-04-22_final
2022-04-24 09:44:49	ga_ls8c_ard_3-2-1_094084_2022-04-24_final
2022-04-24 09:45:12	ga_ls8c_ard_3-2-1_094085_2022-04-24_final
2022-04-24 11:23:42	ga_ls8c_ard_3-2-1_110084_2022-04-24_final
2022-04-24 11:24:05	ga_ls8c_ard_3-2-1_110085_2022-04-24_final
2022-04-28 09:20:27	ga_ls8c_ard_3-2-1_090085_2022-04-27_final
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-05-01 09:50:59	ga_ls8c_ard_3-2-1_095084_2022-05-01_final
2022-05-01 09:51:23	ga_ls8c_ard_3-2-1_095085_2022-05-01_final
2022-05-01 11:29:52	ga_ls8c_ard_3-2-1_111084_2022-05-01_final
2022-05-03 09:38:39	ga_ls8c_ard_3-2-1_093084_2022-05-03_final
2022-05-03 09:39:03	ga_ls8c_ard_3-2-1_093085_2022-05-03_final
2022-05-03 11:17:32	ga_ls8c_ard_3-2-1_109084_2022-05-03_final
2022-05-04 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-05-04_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-05-05 09:26:42	ga_ls8c_ard_3-2-1_091085_2022-05-04_final
2022-05-05 11:05:12	ga_ls8c_ard_3-2-1_107084_2022-05-05_final
2022-05-06 10:09:35	ga_ls8c_ard_3-2-1_098084_2022-05-06_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-07 09:13:58	ga_ls8c_ard_3-2-1_089084_2022-05-06_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