Search ga_ls9c_ard_3 across 2024

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
2024-01-01 10:27:46	ga_ls9c_ard_3-2-1_101082_2024-01-01_final.stac-item
2024-01-02 09:31:44	ga_ls9c_ard_3-2-1_092081_2024-01-02_final.stac-item
2024-01-03 10:13:47	ga_ls9c_ard_3-2-1_099078_2024-01-03_final.stac-item
2024-01-03 10:15:23	ga_ls9c_ard_3-2-1_099082_2024-01-03_final.stac-item
2024-01-04 09:19:21	ga_ls9c_ard_3-2-1_090081_2024-01-03_final.stac-item
2024-01-08 10:33:54	ga_ls9c_ard_3-2-1_102082_2024-01-08_final.stac-item
2024-01-10 10:19:58	ga_ls9c_ard_3-2-1_100078_2024-01-10_final.stac-item
2024-01-11 09:25:33	ga_ls9c_ard_3-2-1_091081_2024-01-10_final.stac-item
2024-01-12 10:09:13	ga_ls9c_ard_3-2-1_098082_2024-01-12_final.stac-item
2024-01-13 09:13:12	ga_ls9c_ard_3-2-1_089081_2024-01-12_final.stac-item
2024-01-16 11:22:59	ga_ls9c_ard_3-2-1_110081_2024-01-16_final.stac-item
2024-01-16 11:23:23	ga_ls9c_ard_3-2-1_110082_2024-01-16_final.stac-item
2024-01-17 10:27:45	ga_ls9c_ard_3-2-1_101082_2024-01-17_final.stac-item
2024-01-18 09:31:44	ga_ls9c_ard_3-2-1_092081_2024-01-18_final.stac-item
2024-01-19 10:13:47	ga_ls9c_ard_3-2-1_099078_2024-01-19_final.stac-item
2024-01-20 09:19:21	ga_ls9c_ard_3-2-1_090081_2024-01-19_final.stac-item
2024-01-22 09:06:58	ga_ls9c_ard_3-2-1_088081_2024-01-21_final.stac-item
2024-01-24 10:33:51	ga_ls9c_ard_3-2-1_102082_2024-01-24_final.stac-item
2024-01-26 10:19:56	ga_ls9c_ard_3-2-1_100078_2024-01-26_final.stac-item
2024-01-27 09:25:31	ga_ls9c_ard_3-2-1_091081_2024-01-26_final.stac-item
2024-01-28 10:04:00	ga_ls9c_ard_3-2-1_098069_2024-01-28_final.stac-item
2024-01-29 09:13:11	ga_ls9c_ard_3-2-1_089081_2024-01-28_final.stac-item
2024-02-01 11:23:00	ga_ls9c_ard_3-2-1_110081_2024-02-01_final.stac-item
2024-02-01 11:23:24	ga_ls9c_ard_3-2-1_110082_2024-02-01_final.stac-item
2024-02-02 10:27:47	ga_ls9c_ard_3-2-1_101082_2024-02-02_final.stac-item
2024-02-03 09:31:46	ga_ls9c_ard_3-2-1_092081_2024-02-03_final.stac-item
2024-02-04 10:10:14	ga_ls9c_ard_3-2-1_099069_2024-02-04_final.stac-item
2024-02-04 10:13:50	ga_ls9c_ard_3-2-1_099078_2024-02-04_final.stac-item
2024-02-05 09:19:24	ga_ls9c_ard_3-2-1_090081_2024-02-04_final.stac-item
2024-02-07 09:07:03	ga_ls9c_ard_3-2-1_088081_2024-02-06_final.stac-item
2024-02-09 10:33:58	ga_ls9c_ard_3-2-1_102082_2024-02-09_final.stac-item
2024-02-10 11:17:13	ga_ls9c_ard_3-2-1_109082_2024-02-10_final.stac-item
2024-02-11 10:20:00	ga_ls9c_ard_3-2-1_100078_2024-02-11_final.stac-item
2024-02-12 09:25:34	ga_ls9c_ard_3-2-1_091081_2024-02-11_final.stac-item
2024-02-13 10:04:01	ga_ls9c_ard_3-2-1_098069_2024-02-13_final.stac-item
2024-02-14 09:13:11	ga_ls9c_ard_3-2-1_089081_2024-02-13_final.stac-item
2024-02-17 11:22:54	ga_ls9c_ard_3-2-1_110081_2024-02-17_final.stac-item
2024-02-17 11:23:18	ga_ls9c_ard_3-2-1_110082_2024-02-17_final.stac-item
2024-02-18 10:27:40	ga_ls9c_ard_3-2-1_101082_2024-02-18_final.stac-item
2024-02-19 09:31:37	ga_ls9c_ard_3-2-1_092081_2024-02-19_final.stac-item
2024-02-20 10:10:04	ga_ls9c_ard_3-2-1_099069_2024-02-20_final.stac-item
2024-02-20 10:13:40	ga_ls9c_ard_3-2-1_099078_2024-02-20_final.stac-item
2024-02-20 10:15:15	ga_ls9c_ard_3-2-1_099082_2024-02-20_final.stac-item
2024-02-21 09:19:13	ga_ls9c_ard_3-2-1_090081_2024-02-20_final.stac-item
2024-02-23 09:06:48	ga_ls9c_ard_3-2-1_088081_2024-02-22_final.stac-item
2024-02-27 10:19:49	ga_ls9c_ard_3-2-1_100078_2024-02-27_final.stac-item
2024-02-28 09:25:25	ga_ls9c_ard_3-2-1_091081_2024-02-27_final.stac-item
2024-02-29 10:03:54	ga_ls9c_ard_3-2-1_098069_2024-02-29_final.stac-item
2024-03-01 09:13:04	ga_ls9c_ard_3-2-1_089081_2024-02-29_final.stac-item
2024-03-04 11:22:53	ga_ls9c_ard_3-2-1_110081_2024-03-04_final.stac-item
2024-03-04 11:23:17	ga_ls9c_ard_3-2-1_110082_2024-03-04_final.stac-item
2024-03-06 09:31:38	ga_ls9c_ard_3-2-1_092081_2024-03-06_final.stac-item
2024-03-08 09:19:17	ga_ls9c_ard_3-2-1_090081_2024-03-07_final.stac-item
2024-03-10 09:06:55	ga_ls9c_ard_3-2-1_088081_2024-03-09_final.stac-item
2024-03-13 11:17:05	ga_ls9c_ard_3-2-1_109082_2024-03-13_final.stac-item
2024-03-14 10:19:51	ga_ls9c_ard_3-2-1_100078_2024-03-14_final.stac-item
2024-03-15 09:25:26	ga_ls9c_ard_3-2-1_091081_2024-03-14_final.stac-item
2024-03-17 09:13:04	ga_ls9c_ard_3-2-1_089081_2024-03-16_final.stac-item
2024-03-19 10:35:12	ga_ls9c_ard_3-2-1_103070_2024-03-19_final.stac-item
2024-03-20 11:22:51	ga_ls9c_ard_3-2-1_110081_2024-03-20_final.stac-item
2024-03-20 11:23:15	ga_ls9c_ard_3-2-1_110082_2024-03-20_final.stac-item
2024-03-22 09:31:35	ga_ls9c_ard_3-2-1_092081_2024-03-22_final.stac-item
2024-03-23 10:13:38	ga_ls9c_ard_3-2-1_099078_2024-03-23_final.stac-item
2024-03-24 09:19:12	ga_ls9c_ard_3-2-1_090081_2024-03-23_final.stac-item
2024-03-26 09:06:48	ga_ls9c_ard_3-2-1_088081_2024-03-25_final.stac-item
2024-03-26 10:41:18	ga_ls9c_ard_3-2-1_104070_2024-03-26_final.stac-item
2024-03-29 11:16:55	ga_ls9c_ard_3-2-1_109082_2024-03-29_final.stac-item
2024-03-30 10:19:42	ga_ls9c_ard_3-2-1_100078_2024-03-30_final.stac-item
2024-03-31 09:25:17	ga_ls9c_ard_3-2-1_091081_2024-03-30_final.stac-item
2024-04-02 09:12:55	ga_ls9c_ard_3-2-1_089081_2024-04-01_final.stac-item
2024-04-04 10:35:03	ga_ls9c_ard_3-2-1_103070_2024-04-04_final.stac-item
2024-04-05 11:22:42	ga_ls9c_ard_3-2-1_110081_2024-04-05_final.stac-item
2024-04-05 11:23:06	ga_ls9c_ard_3-2-1_110082_2024-04-05_final.stac-item
2024-04-07 09:31:26	ga_ls9c_ard_3-2-1_092081_2024-04-07_final.stac-item
2024-04-08 10:13:30	ga_ls9c_ard_3-2-1_099078_2024-04-08_final.stac-item
2024-04-09 09:19:04	ga_ls9c_ard_3-2-1_090081_2024-04-08_final.stac-item
2024-04-11 09:06:41	ga_ls9c_ard_3-2-1_088081_2024-04-10_final.stac-item
2024-04-14 11:16:49	ga_ls9c_ard_3-2-1_109082_2024-04-14_final.stac-item
2024-04-16 09:25:09	ga_ls9c_ard_3-2-1_091081_2024-04-15_final.stac-item
2024-04-18 09:12:44	ga_ls9c_ard_3-2-1_089081_2024-04-17_final.stac-item
2024-04-21 11:22:26	ga_ls9c_ard_3-2-1_110081_2024-04-21_final.stac-item
2024-04-21 11:22:50	ga_ls9c_ard_3-2-1_110082_2024-04-21_final.stac-item
2024-04-23 09:31:06	ga_ls9c_ard_3-2-1_092081_2024-04-23_final.stac-item
2024-04-25 09:18:43	ga_ls9c_ard_3-2-1_090081_2024-04-24_final.stac-item
2024-04-27 09:06:22	ga_ls9c_ard_3-2-1_088081_2024-04-26_final.stac-item
2024-05-01 10:19:18	ga_ls9c_ard_3-2-1_100078_2024-05-01_final.stac-item
2024-05-02 09:24:52	ga_ls9c_ard_3-2-1_091081_2024-05-01_final.stac-item
2024-05-04 09:12:31	ga_ls9c_ard_3-2-1_089081_2024-05-03_final.stac-item
2024-05-05 09:51:23	ga_ls9c_ard_3-2-1_096070_2024-05-05_final.stac-item
2024-05-07 11:22:18	ga_ls9c_ard_3-2-1_110081_2024-05-07_final.stac-item
2024-05-07 11:22:42	ga_ls9c_ard_3-2-1_110082_2024-05-07_final.stac-item
2024-05-09 09:31:04	ga_ls9c_ard_3-2-1_092081_2024-05-09_final.stac-item
2024-05-10 10:13:07	ga_ls9c_ard_3-2-1_099078_2024-05-10_final.stac-item
2024-05-11 09:18:41	ga_ls9c_ard_3-2-1_090081_2024-05-10_final.stac-item
2024-05-13 09:06:18	ga_ls9c_ard_3-2-1_088081_2024-05-12_nrt.stac-item
2024-05-17 10:19:10	ga_ls9c_ard_3-2-1_100078_2024-05-17_nrt.stac-item
2024-05-18 09:24:45	ga_ls9c_ard_3-2-1_091081_2024-05-17_nrt.stac-item
2024-05-20 09:12:23	ga_ls9c_ard_3-2-1_089081_2024-05-19_nrt.stac-item
2024-05-21 09:51:15	ga_ls9c_ard_3-2-1_096070_2024-05-21_nrt.stac-item
2024-05-23 11:22:09	ga_ls9c_ard_3-2-1_110081_2024-05-23_nrt.stac-item

Return to ga_ls9c_ard_3 across 2024 overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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

2024

All months