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
2017-02-11 09:06:41	ga_ls8c_ard_3-1-0_088081_2017-02-10_final
2018-09-26 09:06:26	ga_ls8c_ard_3-1-0_088081_2018-09-25_final
2019-03-19 09:16:17	ga_ls8c_ard_3-1-0_090075_2019-03-18_final
2019-04-02 11:07:29	ga_ls8c_ard_3-1-0_108075_2019-04-02_final
2019-05-04 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-05-04_final
2019-06-27 10:27:57	ga_ls8c_ard_3-1-0_102068_2019-06-27_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-07-02 10:49:19	ga_ls8c_ard_3-1-0_105075_2019-07-02_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-07-16 09:22:49	ga_ls8c_ard_3-1-0_091075_2019-07-15_final
2019-07-16 09:28:25	ga_ls8c_ard_3-1-0_091089_2019-07-15_final
2019-07-19 11:30:37	ga_ls8c_ard_3-1-0_112070_2019-07-19_final
2019-07-28 11:24:31	ga_ls8c_ard_3-1-0_111070_2019-07-28_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-25 10:14:30	ga_ls8c_ard_3-1-0_099080_2019-08-25_final
2019-09-13 09:07:48	ga_ls8c_ard_3-1-0_088083_2019-09-12_final
2019-10-04 09:22:03	ga_ls8c_ard_3-1-0_091072_2019-10-03_final
2019-10-11 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-11_final
2019-10-29 10:55:59	ga_ls8c_ard_3-1-0_106075_2019-10-29_final
2019-10-31 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-30_final
2019-11-10 09:40:11	ga_ls8c_ard_3-1-0_094071_2019-11-10_final
2019-11-30 09:17:01	ga_ls8c_ard_3-1-0_090075_2019-11-29_final
2019-12-01 09:57:05	ga_ls8c_ard_3-1-0_097067_2019-12-01_final
2020-01-01 09:16:55	ga_ls8c_ard_3-1-0_090075_2019-12-31_final
2020-01-18 09:56:56	ga_ls8c_ard_3-1-0_097067_2020-01-18_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-04-16 11:31:04	ga_ls8c_ard_3-1-0_112072_2020-04-16_final
2020-04-20 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-04-20_final
2020-05-02 11:30:55	ga_ls8c_ard_3-1-0_112072_2020-05-02_final
2020-05-13 11:11:08	ga_ls8c_ard_3-1-0_109069_2020-05-13_final
2020-05-27 09:45:28	ga_ls8c_ard_3-1-0_095071_2020-05-27_final
2020-05-27 09:51:27	ga_ls8c_ard_3-1-0_095086_2020-05-27_final
2020-07-10 10:16:09	ga_ls8c_ard_3-1-0_099085_2020-07-10_final
2020-07-13 09:07:23	ga_ls8c_ard_3-1-0_088083_2020-07-12_final
2020-07-18 09:21:34	ga_ls8c_ard_3-1-0_091072_2020-07-17_final
2020-07-18 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-07-17_final
2020-07-30 09:51:56	ga_ls8c_ard_3-1-0_095086_2020-07-30_final
2020-08-03 09:28:49	ga_ls8c_ard_3-1-0_091090_2020-08-02_final
2020-08-06 11:30:38	ga_ls8c_ard_3-1-0_112070_2020-08-06_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-09-13 09:20:55	ga_ls8c_ard_3-1-0_090085_2020-09-12_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-04-12 11:24:12	ga_ls8c_ard_3-2-0_111070_2021-04-12_final
2021-04-18 10:48:40	ga_ls8c_ard_3-2-0_105074_2021-04-18_final
2021-04-21 11:17:57	ga_ls8c_ard_3-2-0_110070_2021-04-21_final
2021-04-24 10:15:32	ga_ls8c_ard_3-2-0_099084_2021-04-24_final
2021-05-26 10:10:49	ga_ls8c_ard_3-2-0_099072_2021-05-26_final
2021-05-30 11:29:24	ga_ls8c_ard_3-2-0_111083_2021-05-30_final
2021-06-05 10:48:47	ga_ls8c_ard_3-2-0_105074_2021-06-05_final
2021-06-23 10:39:18	ga_ls8c_ard_3-2-0_103081_2021-06-23_final
2021-06-29 09:57:03	ga_ls8c_ard_3-2-0_097068_2021-06-29_final
2021-06-29 11:42:20	ga_ls8c_ard_3-2-0_113084_2021-06-29_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-26 09:45:49	ga_ls8c_ard_3-2-0_094086_2021-07-26_final
2021-08-02 09:52:03	ga_ls8c_ard_3-2-0_095086_2021-08-02_final
2021-08-02 11:24:33	ga_ls8c_ard_3-2-0_111070_2021-08-02_final
2021-08-02 11:24:57	ga_ls8c_ard_3-2-0_111071_2021-08-02_final
2021-08-15 09:17:39	ga_ls8c_ard_3-2-0_090077_2021-08-14_final
2021-12-05 10:59:08	ga_ls8c_ard_3-2-1_106083_2021-12-05_final
2021-12-08 11:24:27	ga_ls8c_ard_3-2-1_111069_2021-12-08_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2022-01-22 10:52:58	ga_ls8c_ard_3-2-1_106068_2022-01-22_final
2022-02-03 11:19:15	ga_ls8c_ard_3-2-1_110072_2022-02-03_final
2022-02-07 10:58:54	ga_ls8c_ard_3-2-1_106083_2022-02-07_final
2022-03-10 10:09:06	ga_ls8c_ard_3-2-1_099067_2022-03-10_final
2022-04-17 09:34:17	ga_ls8c_ard_3-2-1_093073_2022-04-17_final
2022-04-18 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-04-18_final
2022-04-26 09:34:02	ga_ls8c_ard_3-2-1_092088_2022-04-26_final
2022-05-06 10:03:36	ga_ls8c_ard_3-2-1_098069_2022-05-06_final
2022-05-07 09:11:11	ga_ls8c_ard_3-2-1_089077_2022-05-06_final
2022-05-10 11:20:12	ga_ls8c_ard_3-2-1_110075_2022-05-10_final
2022-05-19 11:13:40	ga_ls8c_ard_3-2-1_109074_2022-05-19_final
2022-05-29 10:09:52	ga_ls8c_ard_3-2-1_099069_2022-05-29_final
2022-05-30 09:20:15	ga_ls8c_ard_3-2-1_090084_2022-05-29_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-07-01 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-06-30_final
2022-07-01 09:22:32	ga_ls8c_ard_3-2-1_090089_2022-06-30_final
2022-07-06 09:40:16	ga_ls8c_ard_3-2-1_093087_2022-07-06_final
2022-07-11 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-07-11_final
2022-07-17 09:17:20	ga_ls8c_ard_3-2-1_090076_2022-07-16_final
2022-08-02 09:17:56	ga_ls8c_ard_3-2-1_090077_2022-08-01_final
2022-09-09 10:20:17	ga_ls8c_ard_3-2-1_100078_2022-09-09_final
2022-11-05 10:10:34	ga_ls8c_ard_3-2-1_099069_2022-11-05_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-14 10:19:48	ga_ls8c_ard_3-2-1_100077_2022-12-14_final
2022-12-15 09:22:58	ga_ls8c_ard_3-2-1_091074_2022-12-14_final
2022-12-19 10:39:52	ga_ls8c_ard_3-2-1_103081_2022-12-19_final
2023-01-03 09:53:00	ga_ls8c_ard_3-2-1_096072_2023-01-03_final
2023-01-30 09:34:02	ga_ls8c_ard_3-2-1_093071_2023-01-30_final
2023-02-09 10:11:28	ga_ls8c_ard_3-2-1_099072_2023-02-09_final
2023-02-09 11:51:33	ga_ls8c_ard_3-2-1_115075_2023-02-09_final
2023-02-12 10:46:19	ga_ls8c_ard_3-2-1_104082_2023-02-12_final
2023-02-13 11:25:58	ga_ls8c_ard_3-2-1_111073_2023-02-13_final
2023-02-22 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-02-22_final
2023-03-06 10:02:58	ga_ls8c_ard_3-2-1_098067_2023-03-06_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-04-02 11:24:15	ga_ls8c_ard_3-2-1_111070_2023-04-02_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-14 10:08:41	ga_ls8c_ard_3-2-1_099067_2023-04-14_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