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
2015-12-31 09:54:41	ga_ls8c_ard_3-0-0_096077_2015-12-31_final
2015-12-31 09:55:05	ga_ls8c_ard_3-0-0_096078_2015-12-31_final
2015-12-31 09:55:29	ga_ls8c_ard_3-0-0_096079_2015-12-31_final
2015-12-31 09:55:53	ga_ls8c_ard_3-0-0_096080_2015-12-31_final
2015-12-31 09:56:17	ga_ls8c_ard_3-0-0_096081_2015-12-31_final
2015-12-31 09:56:41	ga_ls8c_ard_3-0-0_096082_2015-12-31_final
2016-01-02 09:45:31	ga_ls8c_ard_3-0-0_094085_2016-01-02_final
2016-01-02 09:45:55	ga_ls8c_ard_3-0-0_094086_2016-01-02_final
2016-01-02 09:46:19	ga_ls8c_ard_3-0-0_094087_2016-01-02_final
2016-01-02 09:46:43	ga_ls8c_ard_3-0-0_094088_2016-01-02_final
2016-01-09 09:50:03	ga_ls8c_ard_3-0-0_095081_2016-01-09_final
2016-01-09 09:50:27	ga_ls8c_ard_3-0-0_095082_2016-01-09_final
2016-01-09 09:50:51	ga_ls8c_ard_3-0-0_095083_2016-01-09_final
2016-01-09 09:51:15	ga_ls8c_ard_3-0-0_095084_2016-01-09_final
2016-01-09 09:51:39	ga_ls8c_ard_3-0-0_095085_2016-01-09_final
2016-01-09 09:52:03	ga_ls8c_ard_3-0-0_095086_2016-01-09_final
2016-01-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-11_final
2016-01-25 09:50:04	ga_ls8c_ard_3-0-0_095081_2016-01-25_final
2016-01-25 09:50:28	ga_ls8c_ard_3-0-0_095082_2016-01-25_final
2016-01-25 09:50:52	ga_ls8c_ard_3-0-0_095083_2016-01-25_final
2016-01-25 09:51:16	ga_ls8c_ard_3-0-0_095084_2016-01-25_final
2016-01-25 09:51:40	ga_ls8c_ard_3-0-0_095085_2016-01-25_final
2016-01-25 09:52:04	ga_ls8c_ard_3-0-0_095086_2016-01-25_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2016-02-10 09:49:59	ga_ls8c_ard_3-0-0_095081_2016-02-10_final
2016-02-10 09:50:23	ga_ls8c_ard_3-0-0_095082_2016-02-10_final
2016-02-10 09:50:47	ga_ls8c_ard_3-0-0_095083_2016-02-10_final
2016-02-12 09:40:24	ga_ls8c_ard_3-0-0_093088_2016-02-12_final
2016-02-19 09:45:18	ga_ls8c_ard_3-0-0_094085_2016-02-19_final
2016-02-19 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-02-19_final
2016-02-19 09:46:06	ga_ls8c_ard_3-0-0_094087_2016-02-19_final
2016-02-19 09:46:30	ga_ls8c_ard_3-0-0_094088_2016-02-19_final
2017-04-01 09:49:34	ga_ls8c_ard_3-0-0_095081_2017-04-01_final
2017-04-01 09:49:58	ga_ls8c_ard_3-0-0_095082_2017-04-01_final
2017-04-01 09:50:22	ga_ls8c_ard_3-0-0_095083_2017-04-01_final
2017-04-01 09:50:46	ga_ls8c_ard_3-0-0_095084_2017-04-01_final
2017-04-01 09:51:10	ga_ls8c_ard_3-0-0_095085_2017-04-01_final
2017-04-01 09:51:34	ga_ls8c_ard_3-0-0_095086_2017-04-01_final
2017-04-03 09:39:59	ga_ls8c_ard_3-0-0_093088_2017-04-03_final
2017-05-03 09:49:16	ga_ls8c_ard_3-0-0_095081_2017-05-03_final
2017-05-03 09:49:40	ga_ls8c_ard_3-0-0_095082_2017-05-03_final
2017-05-03 09:50:04	ga_ls8c_ard_3-0-0_095083_2017-05-03_final
2017-05-03 09:50:28	ga_ls8c_ard_3-0-0_095084_2017-05-03_final
2017-05-03 09:50:52	ga_ls8c_ard_3-0-0_095085_2017-05-03_final
2017-05-03 09:51:16	ga_ls8c_ard_3-0-0_095086_2017-05-03_final
2017-05-05 09:39:44	ga_ls8c_ard_3-0-0_093088_2017-05-05_final
2017-06-20 09:49:44	ga_ls8c_ard_3-0-0_095081_2017-06-20_final
2017-06-20 09:50:07	ga_ls8c_ard_3-0-0_095082_2017-06-20_final
2017-06-20 09:50:31	ga_ls8c_ard_3-0-0_095083_2017-06-20_final
2017-06-20 09:50:55	ga_ls8c_ard_3-0-0_095084_2017-06-20_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-06-20 09:51:43	ga_ls8c_ard_3-0-0_095086_2017-06-20_final
2017-06-22 09:40:10	ga_ls8c_ard_3-0-0_093088_2017-06-22_final
2019-07-26 09:58:46	ga_ls8c_ard_3-1-0_097072_2019-07-26_final
2019-07-26 09:59:10	ga_ls8c_ard_3-1-0_097073_2019-07-26_final
2019-07-26 09:59:34	ga_ls8c_ard_3-1-0_097074_2019-07-26_final
2019-07-26 09:59:58	ga_ls8c_ard_3-1-0_097075_2019-07-26_final
2019-07-26 10:00:22	ga_ls8c_ard_3-1-0_097076_2019-07-26_final
2019-07-26 10:00:46	ga_ls8c_ard_3-1-0_097077_2019-07-26_final
2019-07-26 10:01:10	ga_ls8c_ard_3-1-0_097078_2019-07-26_final
2019-09-10 10:09:22	ga_ls8c_ard_3-1-0_099067_2019-09-10_final
2019-09-10 10:09:46	ga_ls8c_ard_3-1-0_099068_2019-09-10_final
2019-10-07 09:54:57	ga_ls8c_ard_3-1-0_096077_2019-10-07_final
2019-10-07 09:55:21	ga_ls8c_ard_3-1-0_096078_2019-10-07_final
2019-10-07 09:55:45	ga_ls8c_ard_3-1-0_096079_2019-10-07_final
2019-10-07 09:56:09	ga_ls8c_ard_3-1-0_096080_2019-10-07_final
2019-10-07 09:56:33	ga_ls8c_ard_3-1-0_096081_2019-10-07_final
2019-10-07 09:56:57	ga_ls8c_ard_3-1-0_096082_2019-10-07_final
2019-10-21 10:03:21	ga_ls8c_ard_3-1-0_098067_2019-10-21_final
2019-10-21 10:03:45	ga_ls8c_ard_3-1-0_098068_2019-10-21_final
2019-10-21 10:04:09	ga_ls8c_ard_3-1-0_098069_2019-10-21_final
2019-10-21 10:04:33	ga_ls8c_ard_3-1-0_098070_2019-10-21_final
2019-10-21 10:04:56	ga_ls8c_ard_3-1-0_098071_2019-10-21_final
2019-10-21 10:05:20	ga_ls8c_ard_3-1-0_098072_2019-10-21_final
2019-10-21 10:05:44	ga_ls8c_ard_3-1-0_098073_2019-10-21_final
2019-11-01 09:50:23	ga_ls8c_ard_3-1-0_095081_2019-11-01_final
2019-11-01 09:50:47	ga_ls8c_ard_3-1-0_095082_2019-11-01_final
2019-11-01 09:51:11	ga_ls8c_ard_3-1-0_095083_2019-11-01_final
2019-11-01 09:51:35	ga_ls8c_ard_3-1-0_095084_2019-11-01_final
2019-11-01 09:51:59	ga_ls8c_ard_3-1-0_095085_2019-11-01_final
2019-11-01 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-11-01_final
2019-11-03 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-11-03_final
2019-11-17 09:50:20	ga_ls8c_ard_3-1-0_095081_2019-11-17_final
2019-11-17 09:50:44	ga_ls8c_ard_3-1-0_095082_2019-11-17_final
2019-11-17 09:51:08	ga_ls8c_ard_3-1-0_095083_2019-11-17_final
2019-11-17 09:51:32	ga_ls8c_ard_3-1-0_095084_2019-11-17_final
2019-11-17 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-11-17_final
2019-11-17 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-11-17_final
2019-11-19 09:40:45	ga_ls8c_ard_3-1-0_093088_2019-11-19_final
2019-12-28 09:45:39	ga_ls8c_ard_3-1-0_094085_2019-12-28_final
2019-12-28 09:46:03	ga_ls8c_ard_3-1-0_094086_2019-12-28_final
2019-12-28 09:46:27	ga_ls8c_ard_3-1-0_094087_2019-12-28_final
2019-12-28 09:46:51	ga_ls8c_ard_3-1-0_094088_2019-12-28_final
2020-01-04 09:50:12	ga_ls8c_ard_3-1-0_095081_2020-01-04_final
2020-01-04 09:50:36	ga_ls8c_ard_3-1-0_095082_2020-01-04_final
2020-01-04 09:51:00	ga_ls8c_ard_3-1-0_095083_2020-01-04_final
2020-01-04 09:51:24	ga_ls8c_ard_3-1-0_095084_2020-01-04_final
2020-01-04 09:51:48	ga_ls8c_ard_3-1-0_095085_2020-01-04_final
2020-01-04 09:52:12	ga_ls8c_ard_3-1-0_095086_2020-01-04_final
2020-01-06 09:40:38	ga_ls8c_ard_3-1-0_093088_2020-01-06_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years