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
2013-12-31 09:18:06	ga_ls8c_ard_3-0-0_090075_2013-12-30_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2013-12-31 09:18:54	ga_ls8c_ard_3-0-0_090077_2013-12-30_final
2016-12-14 09:21:58	ga_ls8c_ard_3-0-0_091072_2016-12-13_final
2016-12-16 09:11:11	ga_ls8c_ard_3-0-0_089076_2016-12-15_final
2016-12-16 09:11:35	ga_ls8c_ard_3-0-0_089077_2016-12-15_final
2016-12-16 09:11:59	ga_ls8c_ard_3-0-0_089078_2016-12-15_final
2016-12-16 09:12:23	ga_ls8c_ard_3-0-0_089079_2016-12-15_final
2016-12-16 09:12:47	ga_ls8c_ard_3-0-0_089080_2016-12-15_final
2016-12-16 09:13:11	ga_ls8c_ard_3-0-0_089081_2016-12-15_final
2017-02-16 09:21:37	ga_ls8c_ard_3-0-0_091072_2017-02-15_final
2017-02-18 09:10:51	ga_ls8c_ard_3-0-0_089076_2017-02-17_final
2017-02-18 09:11:14	ga_ls8c_ard_3-0-0_089077_2017-02-17_final
2017-02-18 09:11:38	ga_ls8c_ard_3-0-0_089078_2017-02-17_final
2017-02-18 09:12:02	ga_ls8c_ard_3-0-0_089079_2017-02-17_final
2017-02-18 09:12:26	ga_ls8c_ard_3-0-0_089080_2017-02-17_final
2017-02-18 09:12:50	ga_ls8c_ard_3-0-0_089081_2017-02-17_final
2019-07-09 09:16:14	ga_ls8c_ard_3-1-0_090074_2019-07-08_final
2019-07-09 09:16:38	ga_ls8c_ard_3-1-0_090075_2019-07-08_final
2019-07-09 09:17:02	ga_ls8c_ard_3-1-0_090076_2019-07-08_final
2019-07-09 09:17:26	ga_ls8c_ard_3-1-0_090077_2019-07-08_final
2019-07-27 09:06:21	ga_ls8c_ard_3-1-0_088080_2019-07-26_final
2019-07-27 09:06:45	ga_ls8c_ard_3-1-0_088081_2019-07-26_final
2019-07-27 09:07:09	ga_ls8c_ard_3-1-0_088082_2019-07-26_final
2019-07-27 09:07:33	ga_ls8c_ard_3-1-0_088083_2019-07-26_final
2019-07-27 09:07:57	ga_ls8c_ard_3-1-0_088084_2019-07-26_final
2019-08-26 09:16:29	ga_ls8c_ard_3-1-0_090074_2019-08-25_final
2019-08-26 09:16:53	ga_ls8c_ard_3-1-0_090075_2019-08-25_final
2019-08-26 09:17:17	ga_ls8c_ard_3-1-0_090076_2019-08-25_final
2019-08-26 09:17:41	ga_ls8c_ard_3-1-0_090077_2019-08-25_final
2019-09-11 09:16:33	ga_ls8c_ard_3-1-0_090074_2019-09-10_final
2019-09-11 09:16:57	ga_ls8c_ard_3-1-0_090075_2019-09-10_final
2019-09-11 09:17:21	ga_ls8c_ard_3-1-0_090076_2019-09-10_final
2019-09-11 09:17:45	ga_ls8c_ard_3-1-0_090077_2019-09-10_final
2019-09-13 09:06:36	ga_ls8c_ard_3-1-0_088080_2019-09-12_final
2019-09-13 09:07:00	ga_ls8c_ard_3-1-0_088081_2019-09-12_final
2019-09-13 09:07:24	ga_ls8c_ard_3-1-0_088082_2019-09-12_final
2019-09-13 09:07:48	ga_ls8c_ard_3-1-0_088083_2019-09-12_final
2019-09-13 09:08:12	ga_ls8c_ard_3-1-0_088084_2019-09-12_final
2019-09-25 09:26:12	ga_ls8c_ard_3-1-0_092067_2019-09-24_final
2019-09-27 09:16:38	ga_ls8c_ard_3-1-0_090074_2019-09-26_final
2019-09-27 09:17:02	ga_ls8c_ard_3-1-0_090075_2019-09-26_final
2019-09-27 09:17:26	ga_ls8c_ard_3-1-0_090076_2019-09-26_final
2019-09-27 09:17:50	ga_ls8c_ard_3-1-0_090077_2019-09-26_final
2019-10-20 09:20:29	ga_ls8c_ard_3-1-0_091068_2019-10-19_final
2019-11-12 09:26:14	ga_ls8c_ard_3-1-0_092067_2019-11-11_final
2019-12-02 09:06:39	ga_ls8c_ard_3-1-0_088080_2019-12-01_final
2019-12-02 09:07:03	ga_ls8c_ard_3-1-0_088081_2019-12-01_final
2019-12-02 09:07:27	ga_ls8c_ard_3-1-0_088082_2019-12-01_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-02 09:08:15	ga_ls8c_ard_3-1-0_088084_2019-12-01_final
2020-06-09 09:15:53	ga_ls8c_ard_3-1-0_090074_2020-06-08_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-06-09 09:16:41	ga_ls8c_ard_3-1-0_090076_2020-06-08_final
2020-06-09 09:17:05	ga_ls8c_ard_3-1-0_090077_2020-06-08_final
2020-06-25 09:16:02	ga_ls8c_ard_3-1-0_090074_2020-06-24_final
2020-06-25 09:16:26	ga_ls8c_ard_3-1-0_090075_2020-06-24_final
2020-06-25 09:16:50	ga_ls8c_ard_3-1-0_090076_2020-06-24_final
2020-06-25 09:17:14	ga_ls8c_ard_3-1-0_090077_2020-06-24_final
2020-07-11 09:16:09	ga_ls8c_ard_3-1-0_090074_2020-07-10_final
2020-07-11 09:16:33	ga_ls8c_ard_3-1-0_090075_2020-07-10_final
2020-07-11 09:16:57	ga_ls8c_ard_3-1-0_090076_2020-07-10_final
2020-07-11 09:17:21	ga_ls8c_ard_3-1-0_090077_2020-07-10_final
2020-07-25 09:25:47	ga_ls8c_ard_3-1-0_092067_2020-07-24_final
2020-08-12 09:16:17	ga_ls8c_ard_3-1-0_090074_2020-08-11_final
2020-08-12 09:16:41	ga_ls8c_ard_3-1-0_090075_2020-08-11_final
2020-08-12 09:17:05	ga_ls8c_ard_3-1-0_090076_2020-08-11_final
2020-08-12 09:17:29	ga_ls8c_ard_3-1-0_090077_2020-08-11_final
2020-08-28 09:16:25	ga_ls8c_ard_3-1-0_090074_2020-08-27_final
2020-08-28 09:16:49	ga_ls8c_ard_3-1-0_090075_2020-08-27_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-08-28 09:17:37	ga_ls8c_ard_3-1-0_090077_2020-08-27_final
2020-08-30 09:06:28	ga_ls8c_ard_3-1-0_088080_2020-08-29_final
2020-08-30 09:06:52	ga_ls8c_ard_3-1-0_088081_2020-08-29_final
2020-08-30 09:07:16	ga_ls8c_ard_3-1-0_088082_2020-08-29_final
2020-08-30 09:07:40	ga_ls8c_ard_3-1-0_088083_2020-08-29_final
2020-08-30 09:08:04	ga_ls8c_ard_3-1-0_088084_2020-08-29_final
2020-12-11 09:12:04	ga_ls8c_ard_3-1-0_089078_2020-12-10_final
2020-12-11 09:12:52	ga_ls8c_ard_3-1-0_089080_2020-12-10_final
2020-12-11 09:13:16	ga_ls8c_ard_3-1-0_089081_2020-12-10_final
2021-02-02 09:26:00	ga_ls8c_ard_3-2-0_092067_2021-02-01_final
2021-04-02 09:10:41	ga_ls8c_ard_3-2-0_089076_2021-04-01_final
2021-04-02 09:11:05	ga_ls8c_ard_3-2-0_089077_2021-04-01_final
2021-04-02 09:11:29	ga_ls8c_ard_3-2-0_089078_2021-04-01_final
2021-04-02 09:11:53	ga_ls8c_ard_3-2-0_089079_2021-04-01_final
2021-04-02 09:12:17	ga_ls8c_ard_3-2-0_089080_2021-04-01_final
2021-04-02 09:12:41	ga_ls8c_ard_3-2-0_089081_2021-04-01_final
2021-04-07 09:25:37	ga_ls8c_ard_3-2-0_092067_2021-04-06_final
2021-04-09 09:16:02	ga_ls8c_ard_3-2-0_090074_2021-04-08_final
2021-04-09 09:16:26	ga_ls8c_ard_3-2-0_090075_2021-04-08_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-10-27 09:11:21	ga_ls8c_ard_3-2-0_089076_2021-10-26_final
2021-10-27 09:11:45	ga_ls8c_ard_3-2-0_089077_2021-10-26_final
2021-10-27 09:12:09	ga_ls8c_ard_3-2-0_089078_2021-10-26_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2021-10-27 09:12:57	ga_ls8c_ard_3-2-0_089080_2021-10-26_final
2021-10-27 09:13:21	ga_ls8c_ard_3-2-0_089081_2021-10-26_final
2021-11-01 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-31_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_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