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
2013-04-03 09:48:14	ga_ls8c_ard_3-0-0_095072_2013-04-03_final
2013-04-03 09:48:37	ga_ls8c_ard_3-0-0_095073_2013-04-03_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 09:33:29	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 09:23:54	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
2013-10-24 09:42:00	ga_ls8c_ard_3-0-0_094072_2013-10-24_final
2013-10-24 09:42:24	ga_ls8c_ard_3-0-0_094073_2013-10-24_final
2013-10-24 09:42:48	ga_ls8c_ard_3-0-0_094074_2013-10-24_final
2013-10-24 09:43:12	ga_ls8c_ard_3-0-0_094075_2013-10-24_final
2013-10-24 09:43:36	ga_ls8c_ard_3-0-0_094076_2013-10-24_final
2013-10-24 09:44:00	ga_ls8c_ard_3-0-0_094077_2013-10-24_final
2013-10-24 09:44:23	ga_ls8c_ard_3-0-0_094078_2013-10-24_final
2014-02-06 09:38:14	ga_ls8c_ard_3-0-0_093080_2014-02-06_final
2014-02-06 09:38:38	ga_ls8c_ard_3-0-0_093081_2014-02-06_final
2014-02-06 09:39:02	ga_ls8c_ard_3-0-0_093082_2014-02-06_final
2014-03-10 09:37:23	ga_ls8c_ard_3-0-0_093079_2014-03-10_final
2014-03-10 09:37:47	ga_ls8c_ard_3-0-0_093080_2014-03-10_final
2014-03-10 09:38:11	ga_ls8c_ard_3-0-0_093081_2014-03-10_final
2014-03-10 09:38:35	ga_ls8c_ard_3-0-0_093082_2014-03-10_final
2014-03-12 09:28:13	ga_ls8c_ard_3-0-0_091087_2014-03-11_final
2014-03-12 09:28:36	ga_ls8c_ard_3-0-0_091088_2014-03-11_final
2014-03-12 09:29:00	ga_ls8c_ard_3-0-0_091089_2014-03-11_final
2014-03-12 09:29:24	ga_ls8c_ard_3-0-0_091090_2014-03-11_final
2014-03-15 09:51:06	ga_ls8c_ard_3-0-0_096067_2014-03-15_final
2014-03-17 09:40:42	ga_ls8c_ard_3-0-0_094072_2014-03-17_final
2014-03-17 09:41:06	ga_ls8c_ard_3-0-0_094073_2014-03-17_final
2014-03-17 09:41:30	ga_ls8c_ard_3-0-0_094074_2014-03-17_final
2014-03-17 09:41:54	ga_ls8c_ard_3-0-0_094075_2014-03-17_final
2014-03-17 09:42:18	ga_ls8c_ard_3-0-0_094076_2014-03-17_final
2014-03-17 09:42:42	ga_ls8c_ard_3-0-0_094077_2014-03-17_final
2014-03-17 09:43:06	ga_ls8c_ard_3-0-0_094078_2014-03-17_final
2014-04-29 09:26:39	ga_ls8c_ard_3-0-0_091085_2014-04-28_final
2014-04-29 09:27:03	ga_ls8c_ard_3-0-0_091086_2014-04-28_final
2014-04-29 09:27:27	ga_ls8c_ard_3-0-0_091087_2014-04-28_final
2014-04-29 09:27:51	ga_ls8c_ard_3-0-0_091088_2014-04-28_final
2014-04-29 09:28:15	ga_ls8c_ard_3-0-0_091089_2014-04-28_final
2014-05-02 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-05-02_final
2014-05-08 09:21:30	ga_ls8c_ard_3-0-0_090088_2014-05-07_final
2014-05-08 09:21:54	ga_ls8c_ard_3-0-0_090089_2014-05-07_final
2014-05-08 09:22:18	ga_ls8c_ard_3-0-0_090090_2014-05-07_final
2014-05-11 09:44:00	ga_ls8c_ard_3-0-0_095067_2014-05-11_final
2014-05-11 09:45:36	ga_ls8c_ard_3-0-0_095071_2014-05-11_final
2014-05-11 09:46:00	ga_ls8c_ard_3-0-0_095072_2014-05-11_final
2014-05-11 09:46:24	ga_ls8c_ard_3-0-0_095073_2014-05-11_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2014-06-19 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-06-19_final
2014-06-21 09:39:56	ga_ls8c_ard_3-0-0_094072_2014-06-21_final
2014-06-21 09:40:20	ga_ls8c_ard_3-0-0_094073_2014-06-21_final
2014-06-21 09:40:44	ga_ls8c_ard_3-0-0_094074_2014-06-21_final
2014-06-21 09:41:08	ga_ls8c_ard_3-0-0_094075_2014-06-21_final
2014-06-21 09:41:32	ga_ls8c_ard_3-0-0_094076_2014-06-21_final
2014-06-21 09:41:56	ga_ls8c_ard_3-0-0_094077_2014-06-21_final
2014-06-21 09:42:20	ga_ls8c_ard_3-0-0_094078_2014-06-21_final
2014-06-28 09:44:08	ga_ls8c_ard_3-0-0_095067_2014-06-28_final
2014-06-28 09:45:20	ga_ls8c_ard_3-0-0_095070_2014-06-28_final
2014-06-28 09:45:44	ga_ls8c_ard_3-0-0_095071_2014-06-28_final
2014-06-28 09:46:08	ga_ls8c_ard_3-0-0_095072_2014-06-28_final
2014-06-28 09:46:32	ga_ls8c_ard_3-0-0_095073_2014-06-28_final
2022-01-25 09:46:10	ga_ls8c_ard_3-2-1_095071_2022-01-25_final
2022-01-25 09:46:34	ga_ls8c_ard_3-2-1_095072_2022-01-25_final
2022-01-25 09:46:58	ga_ls8c_ard_3-2-1_095073_2022-01-25_final
2022-04-24 09:40:01	ga_ls8c_ard_3-2-1_094072_2022-04-24_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-04-26 09:31:14	ga_ls8c_ard_3-2-1_092081_2022-04-26_final
2022-04-26 09:31:38	ga_ls8c_ard_3-2-1_092082_2022-04-26_final
2022-04-26 09:32:02	ga_ls8c_ard_3-2-1_092083_2022-04-26_final
2022-04-26 09:32:26	ga_ls8c_ard_3-2-1_092084_2022-04-26_final
2022-04-26 09:32:50	ga_ls8c_ard_3-2-1_092085_2022-04-26_final
2022-04-26 09:33:14	ga_ls8c_ard_3-2-1_092086_2022-04-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-04-28 09:22:03	ga_ls8c_ard_3-2-1_090089_2022-04-27_final
2022-04-28 09:22:27	ga_ls8c_ard_3-2-1_090090_2022-04-27_final
2022-04-28 09:22:51	ga_ls8c_ard_3-2-1_090091_2022-04-27_final
2022-05-01 09:45:47	ga_ls8c_ard_3-2-1_095071_2022-05-01_final
2022-05-01 09:46:11	ga_ls8c_ard_3-2-1_095072_2022-05-01_final
2022-05-01 09:46:35	ga_ls8c_ard_3-2-1_095073_2022-05-01_final
2022-05-03 09:35:51	ga_ls8c_ard_3-2-1_093077_2022-05-03_final
2022-05-03 09:36:15	ga_ls8c_ard_3-2-1_093078_2022-05-03_final
2022-05-03 09:36:39	ga_ls8c_ard_3-2-1_093079_2022-05-03_final
2022-05-03 09:37:03	ga_ls8c_ard_3-2-1_093080_2022-05-03_final
2022-05-03 09:37:27	ga_ls8c_ard_3-2-1_093081_2022-05-03_final
2022-05-03 09:37:51	ga_ls8c_ard_3-2-1_093082_2022-05-03_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 09:27:06	ga_ls8c_ard_3-2-1_091086_2022-05-04_final
2022-05-05 09:27:30	ga_ls8c_ard_3-2-1_091087_2022-05-04_final
2022-05-05 09:27:54	ga_ls8c_ard_3-2-1_091088_2022-05-04_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_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