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
2015-01-22 11:23:15	ga_ls8c_ard_3-0-0_111067_2015-01-22_final
2015-01-22 11:23:39	ga_ls8c_ard_3-0-0_111068_2015-01-22_final
2015-01-22 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-01-22_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-01-22 11:24:51	ga_ls8c_ard_3-0-0_111071_2015-01-22_final
2015-01-22 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-01-22_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-03-11 11:22:56	ga_ls8c_ard_3-0-0_111067_2015-03-11_final
2015-03-11 11:23:20	ga_ls8c_ard_3-0-0_111068_2015-03-11_final
2015-03-11 11:23:43	ga_ls8c_ard_3-0-0_111069_2015-03-11_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-03-11 11:24:31	ga_ls8c_ard_3-0-0_111071_2015-03-11_final
2015-03-11 11:24:55	ga_ls8c_ard_3-0-0_111072_2015-03-11_final
2015-03-11 11:25:19	ga_ls8c_ard_3-0-0_111073_2015-03-11_final
2017-09-17 11:19:14	ga_ls8c_ard_3-0-0_110072_2017-09-17_final
2017-09-17 11:19:38	ga_ls8c_ard_3-0-0_110073_2017-09-17_final
2017-09-17 11:20:02	ga_ls8c_ard_3-0-0_110074_2017-09-17_final
2017-09-17 11:20:26	ga_ls8c_ard_3-0-0_110075_2017-09-17_final
2017-09-17 11:20:50	ga_ls8c_ard_3-0-0_110076_2017-09-17_final
2017-09-17 11:21:14	ga_ls8c_ard_3-0-0_110077_2017-09-17_final
2017-09-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-09-17_final
2017-09-19 11:10:29	ga_ls8c_ard_3-0-0_108081_2017-09-19_final
2017-09-19 11:10:53	ga_ls8c_ard_3-0-0_108082_2017-09-19_final
2017-09-19 11:11:17	ga_ls8c_ard_3-0-0_108083_2017-09-19_final
2017-09-19 11:11:41	ga_ls8c_ard_3-0-0_108084_2017-09-19_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2017-10-03 11:19:21	ga_ls8c_ard_3-0-0_110072_2017-10-03_final
2017-10-03 11:19:45	ga_ls8c_ard_3-0-0_110073_2017-10-03_final
2017-10-03 11:20:09	ga_ls8c_ard_3-0-0_110074_2017-10-03_final
2017-10-03 11:20:33	ga_ls8c_ard_3-0-0_110075_2017-10-03_final
2017-10-03 11:20:57	ga_ls8c_ard_3-0-0_110076_2017-10-03_final
2017-10-03 11:21:21	ga_ls8c_ard_3-0-0_110077_2017-10-03_final
2017-10-03 11:21:45	ga_ls8c_ard_3-0-0_110078_2017-10-03_final
2017-10-05 11:10:36	ga_ls8c_ard_3-0-0_108081_2017-10-05_final
2017-10-05 11:10:59	ga_ls8c_ard_3-0-0_108082_2017-10-05_final
2017-10-05 11:11:23	ga_ls8c_ard_3-0-0_108083_2017-10-05_final
2017-10-05 11:11:47	ga_ls8c_ard_3-0-0_108084_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-10 11:23:34	ga_ls8c_ard_3-0-0_111067_2017-10-10_final
2017-10-10 11:23:58	ga_ls8c_ard_3-0-0_111068_2017-10-10_final
2017-10-10 11:24:22	ga_ls8c_ard_3-0-0_111069_2017-10-10_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2020-01-04 11:23:30	ga_ls8c_ard_3-1-0_111067_2020-01-04_final
2020-01-04 11:23:54	ga_ls8c_ard_3-1-0_111068_2020-01-04_final
2020-01-04 11:24:18	ga_ls8c_ard_3-1-0_111069_2020-01-04_final
2020-01-04 11:24:42	ga_ls8c_ard_3-1-0_111070_2020-01-04_final
2020-01-04 11:25:06	ga_ls8c_ard_3-1-0_111071_2020-01-04_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-04 11:25:54	ga_ls8c_ard_3-1-0_111073_2020-01-04_final
2020-01-13 11:19:17	ga_ls8c_ard_3-1-0_110072_2020-01-13_final
2020-01-13 11:19:41	ga_ls8c_ard_3-1-0_110073_2020-01-13_final
2020-01-13 11:20:05	ga_ls8c_ard_3-1-0_110074_2020-01-13_final
2020-01-13 11:20:29	ga_ls8c_ard_3-1-0_110075_2020-01-13_final
2020-01-13 11:20:53	ga_ls8c_ard_3-1-0_110076_2020-01-13_final
2020-01-13 11:21:17	ga_ls8c_ard_3-1-0_110077_2020-01-13_final
2020-01-13 11:21:41	ga_ls8c_ard_3-1-0_110078_2020-01-13_final
2020-02-05 11:23:21	ga_ls8c_ard_3-1-0_111067_2020-02-05_final
2020-02-05 11:23:45	ga_ls8c_ard_3-1-0_111068_2020-02-05_final
2020-02-05 11:24:09	ga_ls8c_ard_3-1-0_111069_2020-02-05_final
2020-02-05 11:24:33	ga_ls8c_ard_3-1-0_111070_2020-02-05_final
2020-02-05 11:24:57	ga_ls8c_ard_3-1-0_111071_2020-02-05_final
2020-02-05 11:25:21	ga_ls8c_ard_3-1-0_111072_2020-02-05_final
2020-02-05 11:25:45	ga_ls8c_ard_3-1-0_111073_2020-02-05_final
2020-03-17 11:18:57	ga_ls8c_ard_3-1-0_110072_2020-03-17_final
2020-03-17 11:19:21	ga_ls8c_ard_3-1-0_110073_2020-03-17_final
2020-03-17 11:19:45	ga_ls8c_ard_3-1-0_110074_2020-03-17_final
2020-03-17 11:20:09	ga_ls8c_ard_3-1-0_110075_2020-03-17_final
2020-03-17 11:20:33	ga_ls8c_ard_3-1-0_110076_2020-03-17_final
2020-03-17 11:20:57	ga_ls8c_ard_3-1-0_110077_2020-03-17_final
2020-03-17 11:21:21	ga_ls8c_ard_3-1-0_110078_2020-03-17_final
2020-04-25 11:22:49	ga_ls8c_ard_3-1-0_111067_2020-04-25_final
2020-04-25 11:23:13	ga_ls8c_ard_3-1-0_111068_2020-04-25_final
2020-04-25 11:23:37	ga_ls8c_ard_3-1-0_111069_2020-04-25_final
2020-04-25 11:24:01	ga_ls8c_ard_3-1-0_111070_2020-04-25_final
2020-04-25 11:24:25	ga_ls8c_ard_3-1-0_111071_2020-04-25_final
2020-04-25 11:24:48	ga_ls8c_ard_3-1-0_111072_2020-04-25_final
2020-04-25 11:25:12	ga_ls8c_ard_3-1-0_111073_2020-04-25_final
2024-04-20 11:23:57	ga_ls8c_ard_3-2-1_111070_2024-04-20_final
2024-04-20 11:23:57	ga_ls8c_ard_3-2-1_111070_2024-04-20_nrt
2024-04-20 11:24:21	ga_ls8c_ard_3-2-1_111071_2024-04-20_final
2024-04-20 11:24:21	ga_ls8c_ard_3-2-1_111071_2024-04-20_nrt
2024-04-20 11:24:45	ga_ls8c_ard_3-2-1_111072_2024-04-20_final
2024-04-20 11:24:45	ga_ls8c_ard_3-2-1_111072_2024-04-20_nrt
2024-04-20 11:25:09	ga_ls8c_ard_3-2-1_111073_2024-04-20_final
2024-04-22 11:14:23	ga_ls8c_ard_3-2-1_109077_2024-04-22_final
2024-04-22 11:14:47	ga_ls8c_ard_3-2-1_109078_2024-04-22_final
2024-04-22 11:15:11	ga_ls8c_ard_3-2-1_109079_2024-04-22_final
2024-04-22 11:15:35	ga_ls8c_ard_3-2-1_109080_2024-04-22_final
2024-04-22 11:15:59	ga_ls8c_ard_3-2-1_109081_2024-04-22_final
2024-04-22 11:16:23	ga_ls8c_ard_3-2-1_109082_2024-04-22_final
2024-04-29 11:18:29	ga_ls8c_ard_3-2-1_110072_2024-04-29_final
2024-04-29 11:18:53	ga_ls8c_ard_3-2-1_110073_2024-04-29_final
2024-04-29 11:19:17	ga_ls8c_ard_3-2-1_110074_2024-04-29_final
2024-04-29 11:19:41	ga_ls8c_ard_3-2-1_110075_2024-04-29_final
2024-04-29 11:20:05	ga_ls8c_ard_3-2-1_110076_2024-04-29_final
2024-04-29 11:20:29	ga_ls8c_ard_3-2-1_110077_2024-04-29_final
2024-04-29 11:20:53	ga_ls8c_ard_3-2-1_110078_2024-04-29_final
2024-05-01 11:09:41	ga_ls8c_ard_3-2-1_108081_2024-05-01_final
2024-05-01 11:10:05	ga_ls8c_ard_3-2-1_108082_2024-05-01_final
2024-05-01 11:10:29	ga_ls8c_ard_3-2-1_108083_2024-05-01_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