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
2017-07-29 11:33:24	ga_ls8c_ard_3-0-0_112077_2017-07-29_final
2017-07-29 11:33:48	ga_ls8c_ard_3-0-0_112078_2017-07-29_final
2017-07-29 11:34:12	ga_ls8c_ard_3-0-0_112079_2017-07-29_final
2017-07-29 11:34:36	ga_ls8c_ard_3-0-0_112080_2017-07-29_final
2017-07-29 11:35:00	ga_ls8c_ard_3-0-0_112081_2017-07-29_final
2017-07-29 11:35:24	ga_ls8c_ard_3-0-0_112082_2017-07-29_final
2017-10-17 11:33:45	ga_ls8c_ard_3-0-0_112077_2017-10-17_final
2017-10-17 11:34:09	ga_ls8c_ard_3-0-0_112078_2017-10-17_final
2017-10-17 11:34:33	ga_ls8c_ard_3-0-0_112079_2017-10-17_final
2017-10-17 11:34:57	ga_ls8c_ard_3-0-0_112080_2017-10-17_final
2017-10-17 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-10-17_final
2017-10-17 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-10-17_final
2018-02-04 11:44:29	ga_ls8c_ard_3-0-0_114074_2018-02-04_final
2018-02-06 11:33:19	ga_ls8c_ard_3-0-0_112077_2018-02-06_final
2018-02-06 11:33:43	ga_ls8c_ard_3-0-0_112078_2018-02-06_final
2018-02-06 11:34:07	ga_ls8c_ard_3-0-0_112079_2018-02-06_final
2018-02-06 11:34:31	ga_ls8c_ard_3-0-0_112080_2018-02-06_final
2018-02-06 11:34:55	ga_ls8c_ard_3-0-0_112081_2018-02-06_final
2018-02-06 11:35:19	ga_ls8c_ard_3-0-0_112082_2018-02-06_final
2018-02-08 11:24:08	ga_ls8c_ard_3-0-0_110085_2018-02-08_final
2021-04-10 11:38:10	ga_ls8c_ard_3-2-0_113074_2021-04-10_final
2021-04-10 11:38:34	ga_ls8c_ard_3-2-0_113075_2021-04-10_final
2021-04-10 11:38:58	ga_ls8c_ard_3-2-0_113076_2021-04-10_final
2021-04-10 11:39:22	ga_ls8c_ard_3-2-0_113077_2021-04-10_final
2021-04-10 11:39:46	ga_ls8c_ard_3-2-0_113078_2021-04-10_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-04-12 11:28:59	ga_ls8c_ard_3-2-0_111082_2021-04-12_final
2021-04-12 11:29:23	ga_ls8c_ard_3-2-0_111083_2021-04-12_final
2021-04-12 11:29:47	ga_ls8c_ard_3-2-0_111084_2021-04-12_final
2021-04-12 11:30:11	ga_ls8c_ard_3-2-0_111085_2021-04-12_final
2021-04-19 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-04-19_final
2021-04-19 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-04-19_final
2021-04-19 11:33:55	ga_ls8c_ard_3-2-0_112079_2021-04-19_final
2021-04-19 11:34:19	ga_ls8c_ard_3-2-0_112080_2021-04-19_final
2021-04-19 11:34:43	ga_ls8c_ard_3-2-0_112081_2021-04-19_final
2021-04-19 11:35:07	ga_ls8c_ard_3-2-0_112082_2021-04-19_final
2021-04-26 11:37:39	ga_ls8c_ard_3-2-0_113073_2021-04-26_final
2021-04-26 11:38:03	ga_ls8c_ard_3-2-0_113074_2021-04-26_final
2021-04-26 11:38:26	ga_ls8c_ard_3-2-0_113075_2021-04-26_final
2021-04-26 11:38:50	ga_ls8c_ard_3-2-0_113076_2021-04-26_final
2021-04-26 11:39:14	ga_ls8c_ard_3-2-0_113077_2021-04-26_final
2021-04-26 11:39:38	ga_ls8c_ard_3-2-0_113078_2021-04-26_final
2021-04-28 11:28:27	ga_ls8c_ard_3-2-0_111081_2021-04-28_final
2021-04-28 11:28:51	ga_ls8c_ard_3-2-0_111082_2021-04-28_final
2021-04-28 11:29:15	ga_ls8c_ard_3-2-0_111083_2021-04-28_final
2021-04-28 11:29:39	ga_ls8c_ard_3-2-0_111084_2021-04-28_final
2021-04-28 11:30:03	ga_ls8c_ard_3-2-0_111085_2021-04-28_final
2021-05-14 11:28:27	ga_ls8c_ard_3-2-0_111081_2021-05-14_final
2021-05-14 11:28:51	ga_ls8c_ard_3-2-0_111082_2021-05-14_final
2021-05-14 11:29:15	ga_ls8c_ard_3-2-0_111083_2021-05-14_final
2021-05-14 11:29:39	ga_ls8c_ard_3-2-0_111084_2021-05-14_final
2021-05-14 11:30:03	ga_ls8c_ard_3-2-0_111085_2021-05-14_final
2021-05-21 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-05-21_final
2021-05-21 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-05-21_final
2021-05-21 11:33:54	ga_ls8c_ard_3-2-0_112079_2021-05-21_final
2021-05-21 11:34:18	ga_ls8c_ard_3-2-0_112080_2021-05-21_final
2021-05-21 11:34:42	ga_ls8c_ard_3-2-0_112081_2021-05-21_final
2021-05-21 11:35:06	ga_ls8c_ard_3-2-0_112082_2021-05-21_final
2021-05-23 11:23:58	ga_ls8c_ard_3-2-0_110085_2021-05-23_final
2021-05-28 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-05-28_final
2021-05-28 11:37:46	ga_ls8c_ard_3-2-0_113073_2021-05-28_final
2021-05-28 11:38:09	ga_ls8c_ard_3-2-0_113074_2021-05-28_final
2021-05-28 11:38:33	ga_ls8c_ard_3-2-0_113075_2021-05-28_final
2021-05-28 11:38:57	ga_ls8c_ard_3-2-0_113076_2021-05-28_final
2021-05-28 11:39:21	ga_ls8c_ard_3-2-0_113077_2021-05-28_final
2021-05-28 11:39:45	ga_ls8c_ard_3-2-0_113078_2021-05-28_final
2021-05-30 11:28:36	ga_ls8c_ard_3-2-0_111081_2021-05-30_final
2021-05-30 11:29:00	ga_ls8c_ard_3-2-0_111082_2021-05-30_final
2021-05-30 11:29:24	ga_ls8c_ard_3-2-0_111083_2021-05-30_final
2021-05-30 11:29:48	ga_ls8c_ard_3-2-0_111084_2021-05-30_final
2021-05-30 11:30:12	ga_ls8c_ard_3-2-0_111085_2021-05-30_final
2021-06-08 11:24:05	ga_ls8c_ard_3-2-0_110085_2021-06-08_final
2021-06-24 11:24:10	ga_ls8c_ard_3-2-0_110085_2021-06-24_final
2021-12-24 11:29:11	ga_ls8c_ard_3-2-1_111081_2021-12-24_final
2021-12-24 11:29:35	ga_ls8c_ard_3-2-1_111082_2021-12-24_final
2021-12-24 11:29:59	ga_ls8c_ard_3-2-1_111083_2021-12-24_final
2021-12-24 11:30:23	ga_ls8c_ard_3-2-1_111084_2021-12-24_final
2021-12-31 11:33:43	ga_ls8c_ard_3-2-1_112077_2021-12-31_final
2021-12-31 11:34:06	ga_ls8c_ard_3-2-1_112078_2021-12-31_final
2021-12-31 11:34:30	ga_ls8c_ard_3-2-1_112079_2021-12-31_final
2021-12-31 11:34:54	ga_ls8c_ard_3-2-1_112080_2021-12-31_final
2021-12-31 11:35:18	ga_ls8c_ard_3-2-1_112081_2021-12-31_final
2021-12-31 11:35:42	ga_ls8c_ard_3-2-1_112082_2021-12-31_final
2022-01-07 11:38:17	ga_ls8c_ard_3-2-1_113073_2022-01-07_final
2022-01-07 11:38:41	ga_ls8c_ard_3-2-1_113074_2022-01-07_final
2022-01-07 11:39:05	ga_ls8c_ard_3-2-1_113075_2022-01-07_final
2022-01-07 11:39:29	ga_ls8c_ard_3-2-1_113076_2022-01-07_final
2022-01-07 11:39:53	ga_ls8c_ard_3-2-1_113077_2022-01-07_final
2022-01-07 11:40:17	ga_ls8c_ard_3-2-1_113078_2022-01-07_final
2022-01-09 11:29:07	ga_ls8c_ard_3-2-1_111081_2022-01-09_final
2022-01-09 11:29:31	ga_ls8c_ard_3-2-1_111082_2022-01-09_final
2022-01-09 11:29:55	ga_ls8c_ard_3-2-1_111083_2022-01-09_final
2022-01-09 11:30:19	ga_ls8c_ard_3-2-1_111084_2022-01-09_final
2022-01-18 11:24:30	ga_ls8c_ard_3-2-1_110085_2022-01-18_final
2022-09-20 11:38:18	ga_ls8c_ard_3-2-1_113072_2022-09-20_final
2022-09-20 11:38:42	ga_ls8c_ard_3-2-1_113073_2022-09-20_final
2022-09-20 11:39:06	ga_ls8c_ard_3-2-1_113074_2022-09-20_final
2022-09-20 11:39:30	ga_ls8c_ard_3-2-1_113075_2022-09-20_final
2022-09-20 11:39:53	ga_ls8c_ard_3-2-1_113076_2022-09-20_final
2022-09-20 11:40:17	ga_ls8c_ard_3-2-1_113077_2022-09-20_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