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
2013-08-24 11:55:15	ga_ls8c_ard_3-0-0_115080_2013-08-24_final
2016-09-17 11:53:26	ga_ls8c_ard_3-0-0_115080_2016-09-17_final
2017-03-05 11:47:14	ga_ls8c_ard_3-0-0_114081_2017-03-05_final
2017-05-31 11:52:48	ga_ls8c_ard_3-0-0_115080_2017-05-31_final
2017-10-29 11:58:53	ga_ls8c_ard_3-0-0_116078_2017-10-29_final
2017-10-31 11:42:08	ga_ls8c_ard_3-0-0_114067_2017-10-31_final
2017-11-23 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-11-23_final
2019-08-11 11:37:46	ga_ls8c_ard_3-1-0_113072_2019-08-11_final
2019-11-13 11:53:09	ga_ls8c_ard_3-1-0_115079_2019-11-13_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-10-16 11:37:59	ga_ls8c_ard_3-1-0_113072_2020-10-16_final
2020-12-21 11:24:01	ga_ls8c_ard_3-2-0_111068_2020-12-21_final
2021-01-03 09:16:58	ga_ls8c_ard_3-2-0_090075_2021-01-02_final
2021-01-18 10:11:16	ga_ls8c_ard_3-2-0_099072_2021-01-18_final
2021-02-11 09:22:59	ga_ls8c_ard_3-2-0_091075_2021-02-10_final
2021-02-20 09:21:08	ga_ls8c_ard_3-2-0_090086_2021-02-19_final
2021-02-28 11:45:49	ga_ls8c_ard_3-2-0_114077_2021-02-28_final
2021-03-01 10:46:12	ga_ls8c_ard_3-2-0_105067_2021-03-01_final
2021-03-06 11:11:29	ga_ls8c_ard_3-2-0_108084_2021-03-06_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-04-08 10:10:28	ga_ls8c_ard_3-2-0_099071_2021-04-08_final
2021-04-18 10:48:40	ga_ls8c_ard_3-2-0_105074_2021-04-18_final
2021-05-23 11:19:58	ga_ls8c_ard_3-2-0_110075_2021-05-23_final
2021-05-29 10:42:09	ga_ls8c_ard_3-2-0_104073_2021-05-29_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-06-29 11:41:08	ga_ls8c_ard_3-2-0_113081_2021-06-29_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-09-06 10:19:57	ga_ls8c_ard_3-2-0_100078_2021-09-06_final
2021-09-08 11:47:41	ga_ls8c_ard_3-2-0_114081_2021-09-08_final
2021-10-15 10:27:30	ga_ls8c_ard_3-2-0_101081_2021-10-15_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-05 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-12-04_final
2021-12-10 09:39:59	ga_ls8c_ard_3-2-1_093086_2021-12-10_final
2021-12-12 11:01:43	ga_ls8c_ard_3-2-1_107074_2021-12-12_final
2022-01-16 11:32:05	ga_ls8c_ard_3-2-1_112073_2022-01-16_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-04-12 10:57:48	ga_ls8c_ard_3-2-1_106081_2022-04-12_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-05-04 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-05-04_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-05-14 10:55:54	ga_ls8c_ard_3-2-1_106076_2022-05-14_final
2022-05-16 09:06:16	ga_ls8c_ard_3-2-1_088080_2022-05-15_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-06-13 09:34:48	ga_ls8c_ard_3-2-1_092089_2022-06-13_final
2022-08-03 11:40:53	ga_ls8c_ard_3-2-1_113079_2022-08-03_final
2022-08-10 10:03:27	ga_ls8c_ard_3-2-1_098067_2022-08-10_final
2022-08-23 09:38:10	ga_ls8c_ard_3-2-1_093081_2022-08-23_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-09-13 09:58:47	ga_ls8c_ard_3-2-1_096086_2022-09-13_final
2022-10-10 11:17:28	ga_ls8c_ard_3-2-1_109082_2022-10-10_final
2022-10-15 09:57:05	ga_ls8c_ard_3-2-1_096082_2022-10-15_final
2022-11-02 09:44:52	ga_ls8c_ard_3-2-1_094082_2022-11-02_final
2022-11-05 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-11-05_final
2023-01-17 10:04:26	ga_ls8c_ard_3-2-1_098070_2023-01-17_final
2023-01-17 11:47:42	ga_ls8c_ard_3-2-1_114081_2023-01-17_final
2023-01-21 09:44:32	ga_ls8c_ard_3-2-1_094082_2023-01-21_final
2023-02-04 09:52:34	ga_ls8c_ard_3-2-1_096071_2023-02-04_final
2023-02-24 11:08:01	ga_ls8c_ard_3-2-1_108075_2023-02-24_final
2023-03-08 09:51:46	ga_ls8c_ard_3-2-1_096070_2023-03-08_final
2023-03-08 09:53:22	ga_ls8c_ard_3-2-1_096074_2023-03-08_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-03-30 09:17:18	ga_ls8c_ard_3-2-1_090077_2023-03-29_final
2023-04-01 09:06:31	ga_ls8c_ard_3-2-1_088081_2023-03-31_final
2023-04-01 10:43:24	ga_ls8c_ard_3-2-1_104076_2023-04-01_final
2023-04-06 09:22:10	ga_ls8c_ard_3-2-1_091074_2023-04-05_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-05-30 10:24:23	ga_ls8c_ard_3-2-1_101076_2023-05-30_final
2023-06-01 10:08:26	ga_ls8c_ard_3-2-1_099067_2023-06-01_final
2023-06-08 10:18:18	ga_ls8c_ard_3-2-1_100076_2023-06-08_final
2023-06-08 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-06-08_final
2023-06-08 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-06-08_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-08-24 11:26:53	ga_ls8c_ard_3-2-1_111076_2023-08-24_final
2023-09-06 09:16:40	ga_ls8c_ard_3-2-1_090075_2023-09-05_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-09-27 09:38:57	ga_ls8c_ard_3-2-1_093084_2023-09-27_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-23 10:14:05	ga_ls8c_ard_3-2-1_099079_2023-10-23_final
2023-10-24 09:21:40	ga_ls8c_ard_3-2-1_090087_2023-10-23_final
2023-11-08 11:52:57	ga_ls8c_ard_3-2-1_115079_2023-11-08_final
2023-11-12 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-11-12_final
2023-11-17 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-17_final
2023-11-29 10:31:53	ga_ls8c_ard_3-2-1_102077_2023-11-29_final
2023-12-20 10:47:38	ga_ls8c_ard_3-2-1_105070_2023-12-20_final
2023-12-24 10:28:05	ga_ls8c_ard_3-2-1_101083_2023-12-24_final
2023-12-26 10:13:43	ga_ls8c_ard_3-2-1_099078_2023-12-26_final
2024-01-08 09:44:19	ga_ls8c_ard_3-2-1_094082_2024-01-08_final
2024-01-18 10:19:49	ga_ls8c_ard_3-2-1_100078_2024-01-18_final
2024-02-23 09:52:14	ga_ls8c_ard_3-2-1_096071_2024-02-23_final
2024-02-29 10:54:46	ga_ls8c_ard_3-2-1_106073_2024-02-29_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