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
2013-05-17 09:43:25	ga_ls8c_ard_3-0-0_094075_2013-05-17_final
2013-05-17 09:43:49	ga_ls8c_ard_3-0-0_094076_2013-05-17_final
2013-05-17 09:44:13	ga_ls8c_ard_3-0-0_094077_2013-05-17_final
2013-05-17 09:44:36	ga_ls8c_ard_3-0-0_094078_2013-05-17_final
2013-05-17 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-05-17_final
2013-05-17 09:45:24	ga_ls8c_ard_3-0-0_094080_2013-05-17_final
2013-05-17 09:45:48	ga_ls8c_ard_3-0-0_094081_2013-05-17_final
2013-05-19 09:34:16	ga_ls8c_ard_3-0-0_092083_2013-05-19_final
2013-05-19 09:34:40	ga_ls8c_ard_3-0-0_092084_2013-05-19_final
2013-05-19 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-05-19_final
2013-05-19 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-05-19_final
2013-05-19 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-05-19_final
2013-05-19 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-05-19_final
2013-07-29 09:38:50	ga_ls8c_ard_3-0-0_093079_2013-07-29_final
2013-07-29 09:39:14	ga_ls8c_ard_3-0-0_093080_2013-07-29_final
2013-07-29 09:39:38	ga_ls8c_ard_3-0-0_093081_2013-07-29_final
2013-07-29 09:40:01	ga_ls8c_ard_3-0-0_093082_2013-07-29_final
2013-07-29 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-07-29_final
2013-07-29 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-07-29_final
2013-07-29 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-07-29_final
2013-07-31 09:29:40	ga_ls8c_ard_3-0-0_091087_2013-07-30_final
2013-07-31 09:30:04	ga_ls8c_ard_3-0-0_091088_2013-07-31_final
2013-07-31 09:30:28	ga_ls8c_ard_3-0-0_091089_2013-07-31_final
2013-07-31 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-07-31_final
2013-09-04 09:52:38	ga_ls8c_ard_3-0-0_096067_2013-09-04_final
2013-09-04 09:53:49	ga_ls8c_ard_3-0-0_096070_2013-09-04_final
2013-09-04 09:54:13	ga_ls8c_ard_3-0-0_096071_2013-09-04_final
2013-09-06 09:43:27	ga_ls8c_ard_3-0-0_094075_2013-09-06_final
2013-09-06 09:43:51	ga_ls8c_ard_3-0-0_094076_2013-09-06_final
2013-09-06 09:44:15	ga_ls8c_ard_3-0-0_094077_2013-09-06_final
2013-09-06 09:44:39	ga_ls8c_ard_3-0-0_094078_2013-09-06_final
2013-09-06 09:45:03	ga_ls8c_ard_3-0-0_094079_2013-09-06_final
2013-09-06 09:45:27	ga_ls8c_ard_3-0-0_094080_2013-09-06_final
2013-09-06 09:45:51	ga_ls8c_ard_3-0-0_094081_2013-09-06_final
2013-10-06 09:52:29	ga_ls8c_ard_3-0-0_096067_2013-10-06_final
2013-10-06 09:53:40	ga_ls8c_ard_3-0-0_096070_2013-10-06_final
2013-10-06 09:54:04	ga_ls8c_ard_3-0-0_096071_2013-10-06_final
2013-10-08 09:44:06	ga_ls8c_ard_3-0-0_094077_2013-10-08_final
2013-10-08 09:44:30	ga_ls8c_ard_3-0-0_094078_2013-10-08_final
2013-10-10 09:34:08	ga_ls8c_ard_3-0-0_092083_2013-10-10_final
2013-10-10 09:34:32	ga_ls8c_ard_3-0-0_092084_2013-10-10_final
2013-10-10 09:34:56	ga_ls8c_ard_3-0-0_092085_2013-10-10_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-12 09:24:34	ga_ls8c_ard_3-0-0_090090_2013-10-11_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
2013-10-17 09:40:41	ga_ls8c_ard_3-0-0_093084_2013-10-17_final
2013-10-17 09:41:05	ga_ls8c_ard_3-0-0_093085_2013-10-17_final
2013-10-19 09:29:30	ga_ls8c_ard_3-0-0_091087_2013-10-18_final
2013-10-22 09:52:23	ga_ls8c_ard_3-0-0_096067_2013-10-22_final
2013-10-22 09:53:35	ga_ls8c_ard_3-0-0_096070_2013-10-22_final
2013-10-22 09:53:59	ga_ls8c_ard_3-0-0_096071_2013-10-22_final
2015-01-24 09:36:47	ga_ls8c_ard_3-0-0_093079_2015-01-24_final
2015-01-24 09:37:11	ga_ls8c_ard_3-0-0_093080_2015-01-24_final
2015-01-24 09:37:35	ga_ls8c_ard_3-0-0_093081_2015-01-24_final
2015-01-24 09:37:59	ga_ls8c_ard_3-0-0_093082_2015-01-24_final
2015-01-24 09:38:23	ga_ls8c_ard_3-0-0_093083_2015-01-24_final
2015-01-24 09:38:47	ga_ls8c_ard_3-0-0_093084_2015-01-24_final
2015-01-24 09:39:10	ga_ls8c_ard_3-0-0_093085_2015-01-24_final
2015-01-26 09:27:37	ga_ls8c_ard_3-0-0_091087_2015-01-25_final
2015-01-26 09:28:01	ga_ls8c_ard_3-0-0_091088_2015-01-25_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-01-26 09:28:49	ga_ls8c_ard_3-0-0_091090_2015-01-25_final
2015-01-29 09:50:33	ga_ls8c_ard_3-0-0_096067_2015-01-29_final
2015-01-29 09:51:44	ga_ls8c_ard_3-0-0_096070_2015-01-29_final
2015-01-29 09:52:08	ga_ls8c_ard_3-0-0_096071_2015-01-29_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-05-27 09:22:09	ga_ls8c_ard_3-0-0_090091_2015-05-26_final
2015-05-28 09:55:50	ga_ls8c_ard_3-0-0_097067_2015-05-28_final
2015-05-30 09:45:05	ga_ls8c_ard_3-0-0_095071_2015-05-30_final
2015-05-30 09:45:29	ga_ls8c_ard_3-0-0_095072_2015-05-30_final
2015-05-30 09:45:53	ga_ls8c_ard_3-0-0_095073_2015-05-30_final
2015-05-30 09:46:17	ga_ls8c_ard_3-0-0_095074_2015-05-30_final
2015-05-30 09:46:41	ga_ls8c_ard_3-0-0_095075_2015-05-30_final
2015-05-30 09:47:05	ga_ls8c_ard_3-0-0_095076_2015-05-30_final
2020-03-01 09:41:23	ga_ls8c_ard_3-1-0_094075_2020-03-01_final
2020-03-01 09:41:47	ga_ls8c_ard_3-1-0_094076_2020-03-01_final
2020-03-01 09:42:11	ga_ls8c_ard_3-1-0_094077_2020-03-01_final
2020-03-01 09:42:35	ga_ls8c_ard_3-1-0_094078_2020-03-01_final
2020-03-01 09:42:59	ga_ls8c_ard_3-1-0_094079_2020-03-01_final
2020-03-01 09:43:23	ga_ls8c_ard_3-1-0_094080_2020-03-01_final
2020-03-01 09:43:46	ga_ls8c_ard_3-1-0_094081_2020-03-01_final
2020-03-03 09:32:12	ga_ls8c_ard_3-1-0_092083_2020-03-03_final
2020-03-03 09:32:36	ga_ls8c_ard_3-1-0_092084_2020-03-03_final
2020-03-03 09:33:00	ga_ls8c_ard_3-1-0_092085_2020-03-03_final
2020-03-03 09:33:24	ga_ls8c_ard_3-1-0_092086_2020-03-03_final
2020-03-03 09:33:48	ga_ls8c_ard_3-1-0_092087_2020-03-03_final
2020-03-03 09:34:12	ga_ls8c_ard_3-1-0_092088_2020-03-03_final
2020-03-03 09:34:36	ga_ls8c_ard_3-1-0_092089_2020-03-03_final
2020-03-06 09:56:42	ga_ls8c_ard_3-1-0_097067_2020-03-06_final
2020-05-06 09:31:40	ga_ls8c_ard_3-1-0_092083_2020-05-06_final
2020-05-06 09:32:04	ga_ls8c_ard_3-1-0_092084_2020-05-06_final
2020-05-06 09:32:28	ga_ls8c_ard_3-1-0_092085_2020-05-06_final
2020-05-06 09:32:52	ga_ls8c_ard_3-1-0_092086_2020-05-06_final
2020-05-06 09:33:16	ga_ls8c_ard_3-1-0_092087_2020-05-06_final
2020-05-06 09:33:40	ga_ls8c_ard_3-1-0_092088_2020-05-06_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