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
2014-07-11 09:16:33	ga_ls8c_ard_3-0-0_090075_2014-07-10_final
2014-07-11 09:16:57	ga_ls8c_ard_3-0-0_090076_2014-07-10_final
2014-07-13 09:06:12	ga_ls8c_ard_3-0-0_088080_2014-07-12_final
2014-07-13 09:06:36	ga_ls8c_ard_3-1-0_088081_2014-07-12_final
2014-07-13 09:07:00	ga_ls8c_ard_3-0-0_088082_2014-07-12_final
2014-07-29 09:06:16	ga_ls8c_ard_3-0-0_088080_2014-07-28_final
2014-07-29 09:06:40	ga_ls8c_ard_3-1-0_088081_2014-07-28_final
2014-07-29 09:07:04	ga_ls8c_ard_3-0-0_088082_2014-07-28_final
2014-08-30 09:06:25	ga_ls8c_ard_3-0-0_088080_2014-08-29_final
2014-08-30 09:06:49	ga_ls8c_ard_3-1-0_088081_2014-08-29_final
2014-08-30 09:07:13	ga_ls8c_ard_3-0-0_088082_2014-08-29_final
2014-09-15 09:06:29	ga_ls8c_ard_3-0-0_088080_2014-09-14_final
2014-09-15 09:06:52	ga_ls8c_ard_3-1-0_088081_2014-09-14_final
2014-09-15 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-09-14_final
2014-10-01 09:06:29	ga_ls8c_ard_3-0-0_088080_2014-09-30_final
2014-10-01 09:06:53	ga_ls8c_ard_3-1-0_088081_2014-09-30_final
2014-10-01 09:07:17	ga_ls8c_ard_3-0-0_088082_2014-09-30_final
2014-12-20 09:06:28	ga_ls8c_ard_3-0-0_088080_2014-12-19_final
2014-12-20 09:06:52	ga_ls8c_ard_3-1-0_088081_2014-12-19_final
2014-12-20 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-12-19_final
2017-03-31 09:05:55	ga_ls8c_ard_3-0-0_088080_2017-03-30_final
2017-03-31 09:06:19	ga_ls8c_ard_3-1-0_088081_2017-03-30_final
2017-03-31 09:06:43	ga_ls8c_ard_3-0-0_088082_2017-03-30_final
2017-03-31 09:07:07	ga_ls8c_ard_3-0-0_088083_2017-03-30_final
2017-03-31 09:07:31	ga_ls8c_ard_3-0-0_088084_2017-03-30_final
2017-05-18 09:05:24	ga_ls8c_ard_3-0-0_088079_2017-05-17_final
2017-05-18 09:05:48	ga_ls8c_ard_3-0-0_088080_2017-05-17_final
2017-05-18 09:06:12	ga_ls8c_ard_3-1-0_088081_2017-05-17_final
2017-05-18 09:06:36	ga_ls8c_ard_3-0-0_088082_2017-05-17_final
2017-05-18 09:07:00	ga_ls8c_ard_3-0-0_088083_2017-05-17_final
2017-05-18 09:07:24	ga_ls8c_ard_3-0-0_088084_2017-05-17_final
2017-05-23 09:19:36	ga_ls8c_ard_3-0-0_091068_2017-05-22_final
2018-03-07 09:19:44	ga_ls8c_ard_3-0-0_091068_2018-03-06_final
2018-03-07 09:21:20	ga_ls8c_ard_3-0-0_091072_2018-03-06_final
2018-06-27 09:19:06	ga_ls8c_ard_3-0-0_091068_2018-06-26_final
2018-06-27 09:20:42	ga_ls8c_ard_3-0-0_091072_2018-06-26_final
2018-07-13 09:19:14	ga_ls8c_ard_3-0-0_091068_2018-07-12_final
2018-07-13 09:20:50	ga_ls8c_ard_3-0-0_091072_2018-07-12_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
2020-06-16 09:19:44	ga_ls8c_ard_3-1-0_091068_2020-06-15_final
2020-06-16 09:21:20	ga_ls8c_ard_3-1-0_091072_2020-06-15_final
2020-06-23 09:25:35	ga_ls8c_ard_3-1-0_092067_2020-06-22_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
2020-07-11 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
2020-07-18 09:19:58	ga_ls8c_ard_3-1-0_091068_2020-07-17_final
2020-07-18 09:21:34	ga_ls8c_ard_3-1-0_091072_2020-07-17_final
2020-07-25 09:25:47	ga_ls8c_ard_3-1-0_092067_2020-07-24_final
2020-08-10 09:25:50	ga_ls8c_ard_3-1-0_092067_2020-08-09_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
2020-08-14 09:06:20	ga_ls8c_ard_3-1-0_088080_2020-08-13_final
2020-08-14 09:06:44	ga_ls8c_ard_3-1-0_088081_2020-08-13_final
2020-08-14 09:07:08	ga_ls8c_ard_3-1-0_088082_2020-08-13_final
2020-08-14 09:07:32	ga_ls8c_ard_3-1-0_088083_2020-08-13_final
2020-08-14 09:07:56	ga_ls8c_ard_3-1-0_088084_2020-08-13_final
2020-08-21 09:10:35	ga_ls8c_ard_3-1-0_089075_2020-08-20_final
2020-08-21 09:10:59	ga_ls8c_ard_3-1-0_089076_2020-08-20_final
2020-08-21 09:11:23	ga_ls8c_ard_3-1-0_089077_2020-08-20_final
2020-08-21 09:11:47	ga_ls8c_ard_3-1-0_089078_2020-08-20_final
2020-08-21 09:12:11	ga_ls8c_ard_3-1-0_089079_2020-08-20_final
2020-08-21 09:12:35	ga_ls8c_ard_3-1-0_089080_2020-08-20_final
2020-08-21 09:12:59	ga_ls8c_ard_3-1-0_089081_2020-08-20_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_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
2020-08-30 09:06:04	ga_ls8c_ard_3-1-0_088079_2020-08-29_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
2020-09-20 09:20:21	ga_ls8c_ard_3-1-0_091068_2020-09-19_final
2020-09-22 09:10:48	ga_ls8c_ard_3-1-0_089075_2020-09-21_final
2020-09-22 09:11:12	ga_ls8c_ard_3-1-0_089076_2020-09-21_final
2020-09-22 09:11:36	ga_ls8c_ard_3-1-0_089077_2020-09-21_final
2020-09-22 09:12:00	ga_ls8c_ard_3-1-0_089078_2020-09-21_final
2020-09-22 09:12:24	ga_ls8c_ard_3-1-0_089079_2020-09-21_final
2020-09-22 09:12:48	ga_ls8c_ard_3-1-0_089080_2020-09-21_final
2020-09-22 09:13:12	ga_ls8c_ard_3-1-0_089081_2020-09-21_final
2020-09-27 09:26:10	ga_ls8c_ard_3-1-0_092067_2020-09-26_final
2020-10-01 09:06:15	ga_ls8c_ard_3-1-0_088079_2020-09-30_final
2020-10-01 09:06:39	ga_ls8c_ard_3-1-0_088080_2020-09-30_final
2020-10-01 09:07:03	ga_ls8c_ard_3-1-0_088081_2020-09-30_final
2020-10-01 09:07:27	ga_ls8c_ard_3-1-0_088082_2020-09-30_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-10-01 09:08:15	ga_ls8c_ard_3-1-0_088084_2020-09-30_final
2020-10-13 09:26:12	ga_ls8c_ard_3-1-0_092067_2020-10-12_final
2020-10-17 09:06:16	ga_ls8c_ard_3-1-0_088079_2020-10-16_final
2020-10-17 09:06:40	ga_ls8c_ard_3-1-0_088080_2020-10-16_final
2020-10-17 09:07:04	ga_ls8c_ard_3-1-0_088081_2020-10-16_final
2020-10-17 09:07:28	ga_ls8c_ard_3-1-0_088082_2020-10-16_final
2020-10-17 09:07:52	ga_ls8c_ard_3-1-0_088083_2020-10-16_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