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
2013-03-26 09:36:54	ga_ls8c_ard_3-0-0_093076_2013-03-26_final
2013-03-26 09:37:17	ga_ls8c_ard_3-0-0_093077_2013-03-26_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
2013-04-08 09:44:52	ga_ls8c_ard_3-0-0_094073_2013-04-08_final
2013-04-08 09:45:16	ga_ls8c_ard_3-0-0_094074_2013-04-08_final
2013-04-08 09:45:40	ga_ls8c_ard_3-0-0_094075_2013-04-08_final
2013-06-18 09:42:34	ga_ls8c_ard_3-0-0_094073_2013-06-18_final
2013-06-18 09:42:58	ga_ls8c_ard_3-0-0_094074_2013-06-18_final
2013-06-18 09:43:22	ga_ls8c_ard_3-0-0_094075_2013-06-18_final
2013-06-18 09:43:46	ga_ls8c_ard_3-0-0_094076_2013-06-18_final
2013-06-18 09:44:10	ga_ls8c_ard_3-0-0_094077_2013-06-18_final
2013-06-20 09:34:11	ga_ls8c_ard_3-0-0_092083_2013-06-20_final
2013-06-20 09:34:34	ga_ls8c_ard_3-0-0_092084_2013-06-20_final
2013-06-20 09:34:58	ga_ls8c_ard_3-0-0_092085_2013-06-20_final
2013-06-20 09:35:22	ga_ls8c_ard_3-0-0_092086_2013-06-20_final
2013-06-22 09:23:48	ga_ls8c_ard_3-0-0_090088_2013-06-21_final
2013-06-22 09:24:12	ga_ls8c_ard_3-0-0_090089_2013-06-21_final
2013-06-25 09:46:20	ga_ls8c_ard_3-0-0_095067_2013-06-25_final
2013-07-11 09:46:24	ga_ls8c_ard_3-0-0_095067_2013-07-11_final
2013-07-11 09:48:24	ga_ls8c_ard_3-0-0_095072_2013-07-11_final
2013-07-13 09:37:37	ga_ls8c_ard_3-0-0_093076_2013-07-13_final
2013-07-13 09:38:01	ga_ls8c_ard_3-0-0_093077_2013-07-13_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
2013-07-15 09:28:27	ga_ls8c_ard_3-0-0_091084_2013-07-14_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
2013-07-22 09:33:00	ga_ls8c_ard_3-0-0_092080_2013-07-22_final
2013-07-22 09:33:24	ga_ls8c_ard_3-0-0_092081_2013-07-22_final
2013-07-22 09:33:48	ga_ls8c_ard_3-0-0_092082_2013-07-22_final
2013-07-22 09:34:12	ga_ls8c_ard_3-0-0_092083_2013-07-22_final
2013-07-22 09:34:36	ga_ls8c_ard_3-0-0_092084_2013-07-22_final
2013-07-22 09:35:00	ga_ls8c_ard_3-0-0_092085_2013-07-22_final
2013-07-22 09:35:24	ga_ls8c_ard_3-0-0_092086_2013-07-22_final
2013-09-08 09:33:05	ga_ls8c_ard_3-0-0_092080_2013-09-08_final
2013-09-08 09:33:29	ga_ls8c_ard_3-0-0_092081_2013-09-08_final
2013-09-08 09:33:53	ga_ls8c_ard_3-0-0_092082_2013-09-08_final
2013-09-08 09:34:16	ga_ls8c_ard_3-0-0_092083_2013-09-08_final
2013-09-08 09:34:40	ga_ls8c_ard_3-0-0_092084_2013-09-08_final
2013-09-08 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-09-08_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-10 09:23:30	ga_ls8c_ard_3-0-0_090087_2013-09-09_final
2013-09-10 09:23:54	ga_ls8c_ard_3-0-0_090088_2013-09-09_final
2013-09-10 09:24:18	ga_ls8c_ard_3-0-0_090089_2013-09-09_final
2013-09-10 09:24:42	ga_ls8c_ard_3-0-0_090090_2013-09-09_final
2013-12-27 09:41:40	ga_ls8c_ard_3-0-0_094072_2013-12-27_final
2013-12-27 09:42:03	ga_ls8c_ard_3-0-0_094073_2013-12-27_final
2013-12-27 09:42:27	ga_ls8c_ard_3-0-0_094074_2013-12-27_final
2013-12-27 09:42:51	ga_ls8c_ard_3-0-0_094075_2013-12-27_final
2013-12-27 09:43:15	ga_ls8c_ard_3-0-0_094076_2013-12-27_final
2013-12-27 09:43:39	ga_ls8c_ard_3-0-0_094077_2013-12-27_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-04-22 09:22:34	ga_ls8c_ard_3-0-0_090090_2014-04-21_final
2017-10-05 09:31:19	ga_ls8c_ard_3-0-0_092080_2017-10-05_final
2017-10-05 09:31:43	ga_ls8c_ard_3-0-0_092081_2017-10-05_final
2017-10-05 09:32:06	ga_ls8c_ard_3-0-0_092082_2017-10-05_final
2017-10-05 09:32:30	ga_ls8c_ard_3-0-0_092083_2017-10-05_final
2017-10-05 09:32:54	ga_ls8c_ard_3-0-0_092084_2017-10-05_final
2017-10-05 09:33:18	ga_ls8c_ard_3-0-0_092085_2017-10-05_final
2017-10-10 09:44:41	ga_ls8c_ard_3-0-0_095067_2017-10-10_final
2017-10-10 09:45:53	ga_ls8c_ard_3-0-0_095070_2017-10-10_final
2017-10-10 09:46:17	ga_ls8c_ard_3-0-0_095071_2017-10-10_final
2017-10-10 09:46:41	ga_ls8c_ard_3-0-0_095072_2017-10-10_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2020-02-02 09:21:58	ga_ls8c_ard_3-1-0_090088_2020-02-01_final
2020-02-02 09:22:22	ga_ls8c_ard_3-1-0_090089_2020-02-01_final
2020-02-02 09:22:46	ga_ls8c_ard_3-1-0_090090_2020-02-01_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-04-04 09:30:43	ga_ls8c_ard_3-1-0_092080_2020-04-04_final
2020-04-04 09:31:07	ga_ls8c_ard_3-1-0_092081_2020-04-04_final
2020-04-04 09:31:31	ga_ls8c_ard_3-1-0_092082_2020-04-04_final
2020-04-04 09:31:55	ga_ls8c_ard_3-1-0_092083_2020-04-04_final
2020-04-04 09:32:19	ga_ls8c_ard_3-1-0_092084_2020-04-04_final
2020-04-04 09:32:43	ga_ls8c_ard_3-1-0_092085_2020-04-04_final
2020-04-04 09:33:07	ga_ls8c_ard_3-1-0_092086_2020-04-04_final
2020-04-06 09:21:33	ga_ls8c_ard_3-1-0_090088_2020-04-05_final
2020-04-06 09:21:57	ga_ls8c_ard_3-1-0_090089_2020-04-05_final
2020-04-06 09:22:21	ga_ls8c_ard_3-1-0_090090_2020-04-05_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-05-24 09:20:56	ga_ls8c_ard_3-1-0_090087_2020-05-23_final
2020-05-24 09:21:20	ga_ls8c_ard_3-1-0_090088_2020-05-23_final
2020-05-24 09:21:44	ga_ls8c_ard_3-1-0_090089_2020-05-23_final
2020-05-24 09:22:08	ga_ls8c_ard_3-1-0_090090_2020-05-23_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