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
2013-03-24 09:54:43	ga_ls8c_ard_3-0-0_096067_2013-03-24_final
2013-03-26 09:37:41	ga_ls8c_ard_3-0-0_093078_2013-03-26_final
2013-03-26 09:38:05	ga_ls8c_ard_3-0-0_093079_2013-03-26_final
2013-03-26 09:38:29	ga_ls8c_ard_3-0-0_093080_2013-03-26_final
2013-03-26 09:38:53	ga_ls8c_ard_3-0-0_093081_2013-03-26_final
2013-03-26 09:39:17	ga_ls8c_ard_3-0-0_093082_2013-03-26_final
2013-03-26 09:39:40	ga_ls8c_ard_3-0-0_093083_2013-03-26_final
2013-07-13 09:38:25	ga_ls8c_ard_3-0-0_093078_2013-07-13_final
2013-07-13 09:38:49	ga_ls8c_ard_3-0-0_093079_2013-07-13_final
2013-07-13 09:39:13	ga_ls8c_ard_3-0-0_093080_2013-07-13_final
2013-07-13 09:39:37	ga_ls8c_ard_3-0-0_093081_2013-07-13_final
2013-07-13 09:40:01	ga_ls8c_ard_3-0-0_093082_2013-07-13_final
2013-07-13 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-07-13_final
2013-07-15 09:28:51	ga_ls8c_ard_3-0-0_091085_2013-07-14_final
2013-07-15 09:29:15	ga_ls8c_ard_3-0-0_091086_2013-07-14_final
2013-07-15 09:29:39	ga_ls8c_ard_3-0-0_091087_2013-07-14_final
2013-07-15 09:30:03	ga_ls8c_ard_3-0-0_091088_2013-07-15_final
2013-07-15 09:30:27	ga_ls8c_ard_3-0-0_091089_2013-07-15_final
2013-07-15 09:30:51	ga_ls8c_ard_3-0-0_091090_2013-07-15_final
2013-10-06 09:52:29	ga_ls8c_ard_3-0-0_096067_2013-10-06_final
2013-10-15 09:48:16	ga_ls8c_ard_3-0-0_095072_2013-10-15_final
2013-10-15 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-10-15_final
2013-10-17 09:39:05	ga_ls8c_ard_3-0-0_093080_2013-10-17_final
2013-10-17 09:39:29	ga_ls8c_ard_3-0-0_093081_2013-10-17_final
2013-10-17 09:39:53	ga_ls8c_ard_3-0-0_093082_2013-10-17_final
2013-10-17 09:40:17	ga_ls8c_ard_3-0-0_093083_2013-10-17_final
2013-12-29 09:33:17	ga_ls8c_ard_3-0-0_092082_2013-12-29_final
2013-12-29 09:33:40	ga_ls8c_ard_3-0-0_092083_2013-12-29_final
2013-12-29 09:34:04	ga_ls8c_ard_3-0-0_092084_2013-12-29_final
2013-12-29 09:34:28	ga_ls8c_ard_3-0-0_092085_2013-12-29_final
2013-12-29 09:34:52	ga_ls8c_ard_3-0-0_092086_2013-12-29_final
2013-12-29 09:35:16	ga_ls8c_ard_3-0-0_092087_2013-12-29_final
2013-12-31 09:23:42	ga_ls8c_ard_3-0-0_090089_2013-12-30_final
2013-12-31 09:24:06	ga_ls8c_ard_3-0-0_090090_2013-12-30_final
2015-04-12 09:44:59	ga_ls8c_ard_3-0-0_095070_2015-04-12_final
2015-04-12 09:45:23	ga_ls8c_ard_3-0-0_095071_2015-04-12_final
2015-04-12 09:45:47	ga_ls8c_ard_3-0-0_095072_2015-04-12_final
2015-04-12 09:46:11	ga_ls8c_ard_3-0-0_095073_2015-04-12_final
2015-04-12 09:46:35	ga_ls8c_ard_3-0-0_095074_2015-04-12_final
2015-05-14 09:44:37	ga_ls8c_ard_3-0-0_095070_2015-05-14_final
2015-05-14 09:45:01	ga_ls8c_ard_3-0-0_095071_2015-05-14_final
2015-05-14 09:45:25	ga_ls8c_ard_3-0-0_095072_2015-05-14_final
2015-05-14 09:45:49	ga_ls8c_ard_3-0-0_095073_2015-05-14_final
2015-05-14 09:46:13	ga_ls8c_ard_3-0-0_095074_2015-05-14_final
2015-05-23 09:39:41	ga_ls8c_ard_3-0-0_094073_2015-05-23_final
2015-05-23 09:40:05	ga_ls8c_ard_3-0-0_094074_2015-05-23_final
2015-05-23 09:40:29	ga_ls8c_ard_3-0-0_094075_2015-05-23_final
2015-05-23 09:40:53	ga_ls8c_ard_3-0-0_094076_2015-05-23_final
2015-05-25 09:30:55	ga_ls8c_ard_3-0-0_092082_2015-05-25_final
2015-05-25 09:31:19	ga_ls8c_ard_3-0-0_092083_2015-05-25_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 09:32:31	ga_ls8c_ard_3-0-0_092086_2015-05-25_final
2015-05-25 09:32:55	ga_ls8c_ard_3-0-0_092087_2015-05-25_final
2015-06-10 09:31:06	ga_ls8c_ard_3-0-0_092082_2015-06-10_final
2015-06-10 09:31:30	ga_ls8c_ard_3-0-0_092083_2015-06-10_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 09:32:41	ga_ls8c_ard_3-0-0_092086_2015-06-10_final
2015-06-10 09:33:05	ga_ls8c_ard_3-0-0_092087_2015-06-10_final
2019-07-25 09:22:17	ga_ls8c_ard_3-1-0_090089_2019-07-24_final
2019-07-25 09:22:41	ga_ls8c_ard_3-1-0_090090_2019-07-24_final
2019-07-25 09:23:05	ga_ls8c_ard_3-1-0_090091_2019-07-24_final
2019-08-06 09:40:42	ga_ls8c_ard_3-1-0_094073_2019-08-06_final
2019-08-06 09:41:06	ga_ls8c_ard_3-1-0_094074_2019-08-06_final
2019-08-06 09:41:30	ga_ls8c_ard_3-1-0_094075_2019-08-06_final
2019-08-06 09:41:54	ga_ls8c_ard_3-1-0_094076_2019-08-06_final
2019-08-06 09:42:18	ga_ls8c_ard_3-1-0_094077_2019-08-06_final
2019-08-06 09:42:42	ga_ls8c_ard_3-1-0_094078_2019-08-06_final
2019-08-06 09:43:06	ga_ls8c_ard_3-1-0_094079_2019-08-06_final
2019-08-08 09:31:57	ga_ls8c_ard_3-1-0_092082_2019-08-08_final
2019-08-08 09:32:21	ga_ls8c_ard_3-1-0_092083_2019-08-08_final
2019-08-08 09:32:45	ga_ls8c_ard_3-1-0_092084_2019-08-08_final
2019-08-08 09:33:09	ga_ls8c_ard_3-1-0_092085_2019-08-08_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-10 09:22:24	ga_ls8c_ard_3-1-0_090089_2019-08-09_final
2019-08-10 09:22:48	ga_ls8c_ard_3-1-0_090090_2019-08-09_final
2019-08-10 09:23:12	ga_ls8c_ard_3-1-0_090091_2019-08-09_final
2019-10-13 09:22:40	ga_ls8c_ard_3-1-0_090089_2019-10-12_final
2019-10-13 09:23:04	ga_ls8c_ard_3-1-0_090090_2019-10-12_final
2019-10-13 09:23:28	ga_ls8c_ard_3-1-0_090091_2019-10-12_final
2019-12-03 09:45:55	ga_ls8c_ard_3-1-0_095070_2019-12-03_final
2019-12-03 09:46:19	ga_ls8c_ard_3-1-0_095071_2019-12-03_final
2019-12-03 09:46:43	ga_ls8c_ard_3-1-0_095072_2019-12-03_final
2019-12-03 09:47:07	ga_ls8c_ard_3-1-0_095073_2019-12-03_final
2019-12-03 09:47:31	ga_ls8c_ard_3-1-0_095074_2019-12-03_final
2021-01-06 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-01-06_final
2021-01-06 09:46:15	ga_ls8c_ard_3-2-0_095071_2021-01-06_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-04-07 09:31:36	ga_ls8c_ard_3-2-0_092082_2021-04-07_final
2021-04-07 09:32:00	ga_ls8c_ard_3-2-0_092083_2021-04-07_final
2021-04-07 09:32:24	ga_ls8c_ard_3-2-0_092084_2021-04-07_final
2021-04-07 09:32:48	ga_ls8c_ard_3-2-0_092085_2021-04-07_final
2021-04-07 09:33:12	ga_ls8c_ard_3-2-0_092086_2021-04-07_final
2021-04-07 09:33:36	ga_ls8c_ard_3-2-0_092087_2021-04-07_final
2021-04-09 09:22:01	ga_ls8c_ard_3-2-0_090089_2021-04-08_final
2021-04-09 09:22:25	ga_ls8c_ard_3-2-0_090090_2021-04-08_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years