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
2015-06-13 10:03:13	ga_ls8c_ard_3-0-0_097085_2015-06-13_final
2015-06-13 10:03:37	ga_ls8c_ard_3-0-0_097086_2015-06-13_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-06-19 11:05:04	ga_ls8c_ard_3-0-0_107085_2015-06-19_final
2015-06-20 10:09:27	ga_ls8c_ard_3-0-0_098085_2015-06-20_final
2015-06-20 10:09:51	ga_ls8c_ard_3-0-0_098086_2015-06-20_final
2015-07-28 09:33:04	ga_ls8c_ard_3-0-0_092086_2015-07-28_final
2015-07-28 11:11:33	ga_ls8c_ard_3-0-0_108085_2015-07-28_final
2015-07-29 10:15:55	ga_ls8c_ard_3-0-0_099085_2015-07-29_final
2015-07-30 09:20:42	ga_ls8c_ard_3-0-0_090086_2015-07-29_final
2015-07-31 10:03:34	ga_ls8c_ard_3-0-0_097085_2015-07-31_final
2015-07-31 10:03:58	ga_ls8c_ard_3-0-0_097086_2015-07-31_final
2015-09-14 09:33:22	ga_ls8c_ard_3-0-0_092086_2015-09-14_final
2015-09-15 10:16:15	ga_ls8c_ard_3-0-0_099085_2015-09-15_final
2015-09-16 09:21:02	ga_ls8c_ard_3-0-0_090086_2015-09-15_final
2015-10-03 10:04:22	ga_ls8c_ard_3-0-0_097086_2015-10-03_final
2015-10-12 09:57:47	ga_ls8c_ard_3-0-0_096085_2015-10-12_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2015-10-12 11:36:40	ga_ls8c_ard_3-0-0_112085_2015-10-12_final
2015-10-14 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-10-14_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-10-14_final
2015-10-26 10:10:13	ga_ls8c_ard_3-0-0_098085_2015-10-26_final
2015-10-26 10:10:37	ga_ls8c_ard_3-0-0_098086_2015-10-26_final
2015-10-27 09:14:36	ga_ls8c_ard_3-0-0_089085_2015-10-26_final
2015-10-27 09:15:00	ga_ls8c_ard_3-0-0_089086_2015-10-26_final
2015-10-28 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-10-28_final
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-11-01 09:33:34	ga_ls8c_ard_3-0-0_092086_2015-11-01_final
2015-11-01 11:12:03	ga_ls8c_ard_3-0-0_108085_2015-11-01_final
2015-11-03 09:21:12	ga_ls8c_ard_3-0-0_090086_2015-11-02_final
2015-11-17 09:33:35	ga_ls8c_ard_3-0-0_092086_2015-11-17_final
2015-11-18 10:16:27	ga_ls8c_ard_3-0-0_099085_2015-11-18_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2015-12-05 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-04_final
2015-12-22 10:04:30	ga_ls8c_ard_3-0-0_097086_2015-12-22_final
2018-03-08 10:10:10	ga_ls8c_ard_3-0-0_098086_2018-03-08_final
2018-03-09 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-03-08_final
2018-03-24 10:10:02	ga_ls8c_ard_3-0-0_098086_2018-03-24_final
2018-03-25 09:14:25	ga_ls8c_ard_3-0-0_089086_2018-03-24_final
2018-04-29 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-04-29_final
2018-05-01 09:32:37	ga_ls8c_ard_3-0-0_092086_2018-05-01_final
2018-05-15 09:44:50	ga_ls8c_ard_3-0-0_094086_2018-05-15_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2019-06-10 09:51:23	ga_ls8c_ard_3-0-0_095085_2019-06-10_final
2019-06-10 09:51:47	ga_ls8c_ard_3-0-0_095086_2019-06-10_final
2019-06-10 11:30:16	ga_ls8c_ard_3-0-0_111085_2019-06-10_final
2019-06-12 09:39:02	ga_ls8c_ard_3-1-0_093085_2019-06-12_final
2019-06-12 09:39:26	ga_ls8c_ard_3-1-0_093086_2019-06-12_final
2019-06-12 11:17:55	ga_ls8c_ard_3-1-0_109085_2019-06-12_final
2019-06-13 10:22:18	ga_ls8c_ard_3-1-0_100085_2019-06-13_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 11:30:25	ga_ls8c_ard_3-1-0_111085_2019-07-12_final
2019-07-14 09:39:10	ga_ls8c_ard_3-1-0_093085_2019-07-14_final
2019-07-14 09:39:34	ga_ls8c_ard_3-1-0_093086_2019-07-14_final
2019-07-14 11:18:03	ga_ls8c_ard_3-1-0_109085_2019-07-14_final
2019-07-15 10:22:26	ga_ls8c_ard_3-1-0_100085_2019-07-15_final
2020-10-02 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-10-02_final
2020-10-02 11:30:47	ga_ls8c_ard_3-1-0_111085_2020-10-02_final
2020-10-04 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-10-04_final
2020-10-06 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-05_final
2020-10-06 11:06:05	ga_ls8c_ard_3-1-0_107085_2020-10-06_final
2020-10-16 10:04:17	ga_ls8c_ard_3-1-0_097085_2020-10-16_final
2020-10-16 10:04:41	ga_ls8c_ard_3-1-0_097086_2020-10-16_final
2020-10-20 09:39:58	ga_ls8c_ard_3-1-0_093086_2020-10-20_final
2020-10-20 11:18:27	ga_ls8c_ard_3-1-0_109085_2020-10-20_final
2020-10-21 10:22:50	ga_ls8c_ard_3-1-0_100085_2020-10-21_final
2020-10-22 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-21_final
2020-10-22 11:06:05	ga_ls8c_ard_3-1-0_107085_2020-10-22_final
2020-10-29 09:33:46	ga_ls8c_ard_3-1-0_092086_2020-10-29_final
2020-10-29 11:12:15	ga_ls8c_ard_3-1-0_108085_2020-10-29_final
2020-10-30 10:16:38	ga_ls8c_ard_3-1-0_099085_2020-10-30_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2020-11-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2020-11-01_final
2020-11-30 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-11-30_final
2020-12-01 10:16:40	ga_ls8c_ard_3-1-0_099085_2020-12-01_final
2020-12-02 09:21:26	ga_ls8c_ard_3-1-0_090086_2020-12-01_final
2020-12-03 10:04:42	ga_ls8c_ard_3-1-0_097086_2020-12-03_final
2020-12-09 09:27:37	ga_ls8c_ard_3-1-0_091086_2020-12-08_final
2020-12-12 09:58:07	ga_ls8c_ard_3-1-0_096085_2020-12-12_final
2020-12-12 09:58:31	ga_ls8c_ard_3-1-0_096086_2020-12-12_final
2020-12-14 09:46:10	ga_ls8c_ard_3-1-0_094086_2020-12-14_final
2021-01-22 09:52:08	ga_ls8c_ard_3-2-0_095086_2021-01-22_final
2021-02-04 09:21:13	ga_ls8c_ard_3-2-0_090086_2021-02-03_final
2021-02-05 10:04:28	ga_ls8c_ard_3-2-0_097086_2021-02-05_final
2021-02-09 09:39:44	ga_ls8c_ard_3-2-0_093086_2021-02-09_final
2021-02-10 10:22:36	ga_ls8c_ard_3-2-0_100085_2021-02-10_final
2021-02-11 09:27:22	ga_ls8c_ard_3-2-0_091086_2021-02-10_final
2021-02-14 09:58:15	ga_ls8c_ard_3-2-0_096086_2021-02-14_final
2021-02-16 09:45:53	ga_ls8c_ard_3-2-0_094086_2021-02-16_final
2021-02-21 10:04:24	ga_ls8c_ard_3-2-0_097086_2021-02-21_final
2021-02-23 09:52:01	ga_ls8c_ard_3-2-0_095086_2021-02-23_final
2021-02-25 09:39:39	ga_ls8c_ard_3-2-0_093086_2021-02-25_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