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
2015-12-07 09:06:52	ga_ls8c_ard_3-1-0_088081_2015-12-06_final
2017-02-16 11:04:29	ga_ls8c_ard_3-1-0_107082_2017-02-16_final
2018-12-30 10:01:02	ga_ls8c_ard_3-1-0_097078_2018-12-30_final
2019-03-08 11:11:22	ga_ls8c_ard_3-1-0_109069_2019-03-08_final
2019-03-15 11:21:06	ga_ls8c_ard_3-1-0_110078_2019-03-15_final
2019-03-29 09:52:56	ga_ls8c_ard_3-1-0_096074_2019-03-29_final
2019-03-31 09:40:34	ga_ls8c_ard_3-1-0_094074_2019-03-31_final
2019-04-02 11:05:53	ga_ls8c_ard_3-1-0_108071_2019-04-02_final
2019-04-04 10:55:31	ga_ls8c_ard_3-1-0_106076_2019-04-04_final
2019-04-10 10:18:48	ga_ls8c_ard_3-1-0_100077_2019-04-10_final
2019-04-11 09:21:58	ga_ls8c_ard_3-1-0_091074_2019-04-10_final
2019-06-16 10:48:50	ga_ls8c_ard_3-1-0_105074_2019-06-16_final
2019-06-22 10:13:47	ga_ls8c_ard_3-1-0_099079_2019-06-22_final
2019-07-08 10:09:03	ga_ls8c_ard_3-1-0_099067_2019-07-08_final
2019-07-13 10:30:00	ga_ls8c_ard_3-1-0_102073_2019-07-13_final
2019-07-15 10:19:15	ga_ls8c_ard_3-1-0_100077_2019-07-15_final
2019-07-19 11:31:49	ga_ls8c_ard_3-1-0_112073_2019-07-19_final
2019-07-24 10:14:19	ga_ls8c_ard_3-1-0_099080_2019-07-24_final
2019-07-29 10:30:30	ga_ls8c_ard_3-1-0_102074_2019-07-29_final
2019-08-09 10:14:25	ga_ls8c_ard_3-1-0_099080_2019-08-09_final
2019-08-24 11:07:19	ga_ls8c_ard_3-1-0_108073_2019-08-24_final
2019-09-07 09:44:50	ga_ls8c_ard_3-1-0_094083_2019-09-07_final
2019-09-23 11:20:37	ga_ls8c_ard_3-1-0_110075_2019-09-23_final
2019-09-24 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-09-24_final
2019-09-25 09:28:11	ga_ls8c_ard_3-1-0_092072_2019-09-24_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-10-04 09:22:51	ga_ls8c_ard_3-1-0_091074_2019-10-03_final
2019-10-10 10:23:04	ga_ls8c_ard_3-1-0_101070_2019-10-10_final
2019-10-12 10:14:42	ga_ls8c_ard_3-1-0_099080_2019-10-12_final
2019-10-12 11:53:11	ga_ls8c_ard_3-1-0_115079_2019-10-12_final
2019-10-18 11:14:55	ga_ls8c_ard_3-1-0_109076_2019-10-18_final
2019-11-05 09:27:39	ga_ls8c_ard_3-1-0_091086_2019-11-04_final
2019-11-05 09:28:51	ga_ls8c_ard_3-1-0_091089_2019-11-04_final
2019-11-19 11:12:04	ga_ls8c_ard_3-1-0_109069_2019-11-19_final
2019-11-28 11:06:40	ga_ls8c_ard_3-1-0_108071_2019-11-28_final
2019-12-05 11:12:03	ga_ls8c_ard_3-1-0_109069_2019-12-05_final
2019-12-10 09:52:06	ga_ls8c_ard_3-1-0_096070_2019-12-10_final
2019-12-25 10:46:52	ga_ls8c_ard_3-1-0_105068_2019-12-25_final
2020-01-15 09:34:01	ga_ls8c_ard_3-1-0_092087_2020-01-15_final
2020-01-26 09:13:50	ga_ls8c_ard_3-1-0_089083_2020-01-25_final
2020-01-27 09:53:06	ga_ls8c_ard_3-1-0_096073_2020-01-27_final
2020-02-07 11:16:58	ga_ls8c_ard_3-1-0_109082_2020-02-07_final
2020-02-11 10:49:03	ga_ls8c_ard_3-1-0_105074_2020-02-11_final
2020-02-18 09:17:31	ga_ls8c_ard_3-1-0_090077_2020-02-17_final
2020-03-02 10:23:50	ga_ls8c_ard_3-1-0_101073_2020-03-02_final
2020-03-03 09:35:00	ga_ls8c_ard_3-1-0_092090_2020-03-03_final
2020-03-03 11:11:29	ga_ls8c_ard_3-1-0_108084_2020-03-03_final
2020-03-05 10:58:19	ga_ls8c_ard_3-1-0_106082_2020-03-05_final
2020-03-07 10:42:21	ga_ls8c_ard_3-1-0_104073_2020-03-07_final
2020-03-13 10:07:37	ga_ls8c_ard_3-1-0_098079_2020-03-13_final
2020-03-15 11:34:55	ga_ls8c_ard_3-1-0_112081_2020-03-15_final
2020-03-20 11:53:01	ga_ls8c_ard_3-1-0_115080_2020-03-20_final
2020-03-30 09:11:02	ga_ls8c_ard_3-1-0_089077_2020-03-29_final
2020-04-05 11:51:16	ga_ls8c_ard_3-1-0_115076_2020-04-05_final
2020-04-06 09:20:45	ga_ls8c_ard_3-1-0_090086_2020-04-05_final
2020-04-06 10:58:02	ga_ls8c_ard_3-1-0_106082_2020-04-06_final
2020-04-14 11:45:50	ga_ls8c_ard_3-1-0_114078_2020-04-14_final
2020-04-30 11:41:19	ga_ls8c_ard_3-1-0_114067_2020-04-30_final
2020-06-23 09:33:34	ga_ls8c_ard_3-1-0_092087_2020-06-23_final
2020-07-11 09:16:33	ga_ls8c_ard_3-1-0_090075_2020-07-10_final
2021-04-15 10:20:11	ga_ls8c_ard_3-2-0_100080_2021-04-15_final
2021-04-23 09:25:54	ga_ls8c_ard_3-2-0_092068_2021-04-22_final
2021-05-10 11:50:20	ga_ls8c_ard_3-2-0_115074_2021-05-10_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-06-08 11:20:06	ga_ls8c_ard_3-2-0_110075_2021-06-08_final
2021-06-09 10:22:29	ga_ls8c_ard_3-2-0_101070_2021-06-09_final
2021-06-22 11:29:44	ga_ls8c_ard_3-2-0_112068_2021-06-22_final
2021-06-27 10:15:24	ga_ls8c_ard_3-2-0_099083_2021-06-27_final
2021-06-28 10:55:52	ga_ls8c_ard_3-2-0_106076_2021-06-28_final
2021-07-11 10:23:00	ga_ls8c_ard_3-2-0_101071_2021-07-11_final
2021-07-19 11:14:04	ga_ls8c_ard_3-2-0_109075_2021-07-19_final
2021-07-31 10:03:36	ga_ls8c_ard_3-2-0_097084_2021-07-31_final
2021-08-13 09:28:00	ga_ls8c_ard_3-2-0_092072_2021-08-12_final
2021-08-14 10:14:03	ga_ls8c_ard_3-2-0_099079_2021-08-14_final
2021-09-05 09:40:17	ga_ls8c_ard_3-2-0_093087_2021-09-05_final
2021-09-14 09:28:09	ga_ls8c_ard_3-2-0_092072_2021-09-13_final
2021-09-25 10:49:43	ga_ls8c_ard_3-2-0_105075_2021-09-25_final
2021-10-11 10:46:37	ga_ls8c_ard_3-2-0_105067_2021-10-11_final
2021-10-13 10:40:15	ga_ls8c_ard_3-2-0_103082_2021-10-13_final
2021-10-30 11:18:44	ga_ls8c_ard_3-2-0_110070_2021-10-30_final
2021-11-02 10:14:44	ga_ls8c_ard_3-2-0_099080_2021-11-02_final
2021-11-03 09:21:55	ga_ls8c_ard_3-2-0_090087_2021-11-02_final
2021-11-21 10:45:57	ga_ls8c_ard_3-2-0_104081_2021-11-21_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2021-12-26 11:12:25	ga_ls8c_ard_3-2-1_109070_2021-12-26_final
2021-12-26 11:14:01	ga_ls8c_ard_3-2-1_109074_2021-12-26_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-21 10:11:43	ga_ls8c_ard_3-2-1_099073_2022-01-21_final
2022-01-21 11:52:59	ga_ls8c_ard_3-2-1_115079_2022-01-21_final
2022-01-31 09:13:27	ga_ls8c_ard_3-2-1_089082_2022-01-30_final
2022-02-24 09:58:24	ga_ls8c_ard_3-2-1_097071_2022-02-24_final
2022-03-12 10:03:31	ga_ls8c_ard_3-2-1_097084_2022-03-12_final
2022-04-01 11:15:27	ga_ls8c_ard_3-2-1_109079_2022-04-01_final
2022-04-14 09:06:34	ga_ls8c_ard_3-2-1_088081_2022-04-13_final
2022-04-29 09:56:55	ga_ls8c_ard_3-2-1_097068_2022-04-29_final
2022-05-08 09:53:15	ga_ls8c_ard_3-2-1_096074_2022-05-08_final
2022-05-31 11:42:01	ga_ls8c_ard_3-2-1_113083_2022-05-31_final
2022-06-02 09:51:36	ga_ls8c_ard_3-2-1_095085_2022-06-02_final
2022-06-20 09:39:50	ga_ls8c_ard_3-2-1_093086_2022-06-20_final
2022-06-20 11:14:20	ga_ls8c_ard_3-2-1_109075_2022-06-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years