Search ga_ls9c_ard_3 across March 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
2024-03-01 09:13:28	ga_ls9c_ard_3-2-1_089082_2024-02-29_final.stac-item
2024-03-01 10:48:22	ga_ls9c_ard_3-2-1_105072_2024-03-01_final.stac-item
2024-03-01 10:49:10	ga_ls9c_ard_3-2-1_105074_2024-03-01_final.stac-item
2024-03-01 10:51:09	ga_ls9c_ard_3-2-1_105079_2024-03-01_final.stac-item
2024-03-01 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-01_final.stac-item
2024-03-02 09:53:33	ga_ls9c_ard_3-2-1_096074_2024-03-02_final.stac-item
2024-03-02 09:55:56	ga_ls9c_ard_3-2-1_096080_2024-03-02_final.stac-item
2024-03-03 10:35:37	ga_ls9c_ard_3-2-1_103071_2024-03-03_final.stac-item
2024-03-03 10:36:01	ga_ls9c_ard_3-2-1_103072_2024-03-03_final.stac-item
2024-03-03 10:36:49	ga_ls9c_ard_3-2-1_103074_2024-03-03_final.stac-item
2024-03-03 10:40:00	ga_ls9c_ard_3-2-1_103082_2024-03-03_final.stac-item
2024-03-04 09:40:00	ga_ls9c_ard_3-2-1_094071_2024-03-04_final.stac-item
2024-03-04 09:41:12	ga_ls9c_ard_3-2-1_094074_2024-03-04_final.stac-item
2024-03-04 11:20:05	ga_ls9c_ard_3-2-1_110074_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
2024-03-05 08:48:46	ga_ls9c_ard_3-2-1_085082_2024-03-04_final.stac-item
2024-03-05 10:23:40	ga_ls9c_ard_3-2-1_101072_2024-03-05_final.stac-item
2024-03-05 10:24:04	ga_ls9c_ard_3-2-1_101073_2024-03-05_final.stac-item
2024-03-05 10:27:39	ga_ls9c_ard_3-2-1_101082_2024-03-05_final.stac-item
2024-03-06 09:27:39	ga_ls9c_ard_3-2-1_092071_2024-03-05_final.stac-item
2024-03-06 11:07:44	ga_ls9c_ard_3-2-1_108074_2024-03-06_final.stac-item
2024-03-06 11:10:07	ga_ls9c_ard_3-2-1_108080_2024-03-06_final.stac-item
2024-03-06 11:10:55	ga_ls9c_ard_3-2-1_108082_2024-03-06_final.stac-item
2024-03-08 10:54:58	ga_ls9c_ard_3-2-1_106073_2024-03-08_final.stac-item
2024-03-08 10:55:22	ga_ls9c_ard_3-2-1_106074_2024-03-08_final.stac-item
2024-03-08 10:57:22	ga_ls9c_ard_3-2-1_106079_2024-03-08_final.stac-item
2024-03-08 10:57:46	ga_ls9c_ard_3-2-1_106080_2024-03-08_final.stac-item
2024-03-08 10:58:34	ga_ls9c_ard_3-2-1_106082_2024-03-08_final.stac-item
2024-03-09 09:59:45	ga_ls9c_ard_3-2-1_097074_2024-03-09_final.stac-item
2024-03-09 11:37:50	ga_ls9c_ard_3-2-1_113072_2024-03-09_final.stac-item
2024-03-10 09:07:19	ga_ls9c_ard_3-2-1_088082_2024-03-09_final.stac-item
2024-03-10 10:42:12	ga_ls9c_ard_3-2-1_104072_2024-03-10_final.stac-item
2024-03-10 10:43:00	ga_ls9c_ard_3-2-1_104074_2024-03-10_final.stac-item
2024-03-10 10:45:00	ga_ls9c_ard_3-2-1_104079_2024-03-10_final.stac-item
2024-03-10 10:45:24	ga_ls9c_ard_3-2-1_104080_2024-03-10_final.stac-item
2024-03-10 10:46:12	ga_ls9c_ard_3-2-1_104082_2024-03-10_final.stac-item
2024-03-11 09:47:23	ga_ls9c_ard_3-2-1_095074_2024-03-11_final.stac-item
2024-03-11 09:49:46	ga_ls9c_ard_3-2-1_095080_2024-03-11_final.stac-item
2024-03-11 09:50:34	ga_ls9c_ard_3-2-1_095082_2024-03-11_final.stac-item
2024-03-11 11:25:04	ga_ls9c_ard_3-2-1_111071_2024-03-11_final.stac-item
2024-03-12 10:29:26	ga_ls9c_ard_3-2-1_102071_2024-03-12_final.stac-item
2024-03-12 10:29:50	ga_ls9c_ard_3-2-1_102072_2024-03-12_final.stac-item
2024-03-12 10:33:02	ga_ls9c_ard_3-2-1_102080_2024-03-12_final.stac-item
2024-03-12 10:33:49	ga_ls9c_ard_3-2-1_102082_2024-03-12_final.stac-item
2024-03-13 09:33:48	ga_ls9c_ard_3-2-1_093071_2024-03-13_final.stac-item
2024-03-13 11:13:53	ga_ls9c_ard_3-2-1_109074_2024-03-13_final.stac-item
2024-03-14 08:42:34	ga_ls9c_ard_3-2-1_084082_2024-03-13_final.stac-item
2024-03-14 10:18:15	ga_ls9c_ard_3-2-1_100074_2024-03-14_final.stac-item
2024-03-14 10:21:27	ga_ls9c_ard_3-2-1_100082_2024-03-14_final.stac-item
2024-03-15 11:03:55	ga_ls9c_ard_3-2-1_107080_2024-03-15_final.stac-item
2024-03-15 11:04:43	ga_ls9c_ard_3-2-1_107082_2024-03-15_final.stac-item
2024-03-16 10:05:54	ga_ls9c_ard_3-2-1_098074_2024-03-16_final.stac-item
2024-03-16 10:09:05	ga_ls9c_ard_3-2-1_098082_2024-03-16_final.stac-item
2024-03-17 09:13:28	ga_ls9c_ard_3-2-1_089082_2024-03-16_final.stac-item
2024-03-17 10:49:10	ga_ls9c_ard_3-2-1_105074_2024-03-17_final.stac-item
2024-03-17 10:51:09	ga_ls9c_ard_3-2-1_105079_2024-03-17_final.stac-item
2024-03-17 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-17_final.stac-item
2024-03-17 10:52:21	ga_ls9c_ard_3-2-1_105082_2024-03-17_final.stac-item
2024-03-18 09:53:32	ga_ls9c_ard_3-2-1_096074_2024-03-18_final.stac-item
2024-03-18 09:56:44	ga_ls9c_ard_3-2-1_096082_2024-03-18_final.stac-item
2024-03-19 10:36:00	ga_ls9c_ard_3-2-1_103072_2024-03-19_final.stac-item
2024-03-19 10:39:11	ga_ls9c_ard_3-2-1_103080_2024-03-19_final.stac-item
2024-03-19 10:39:59	ga_ls9c_ard_3-2-1_103082_2024-03-19_final.stac-item
2024-03-20 09:39:58	ga_ls9c_ard_3-2-1_094071_2024-03-20_final.stac-item
2024-03-20 09:41:10	ga_ls9c_ard_3-2-1_094074_2024-03-20_final.stac-item
2024-03-20 11:18:51	ga_ls9c_ard_3-2-1_110071_2024-03-20_final.stac-item
2024-03-20 11:20:03	ga_ls9c_ard_3-2-1_110074_2024-03-20_final.stac-item
2024-03-21 10:23:38	ga_ls9c_ard_3-2-1_101072_2024-03-21_final.stac-item
2024-03-21 10:24:01	ga_ls9c_ard_3-2-1_101073_2024-03-21_final.stac-item
2024-03-21 10:27:37	ga_ls9c_ard_3-2-1_101082_2024-03-21_final.stac-item
2024-03-22 09:27:36	ga_ls9c_ard_3-2-1_092071_2024-03-21_final.stac-item
2024-03-22 11:07:41	ga_ls9c_ard_3-2-1_108074_2024-03-22_final.stac-item
2024-03-22 11:10:04	ga_ls9c_ard_3-2-1_108080_2024-03-22_final.stac-item
2024-03-23 10:12:03	ga_ls9c_ard_3-2-1_099074_2024-03-23_final.stac-item
2024-03-23 10:15:14	ga_ls9c_ard_3-2-1_099082_2024-03-23_final.stac-item
2024-03-24 10:54:54	ga_ls9c_ard_3-2-1_106073_2024-03-24_final.stac-item
2024-03-24 10:55:18	ga_ls9c_ard_3-2-1_106074_2024-03-24_final.stac-item
2024-03-24 10:57:17	ga_ls9c_ard_3-2-1_106079_2024-03-24_final.stac-item
2024-03-24 10:57:41	ga_ls9c_ard_3-2-1_106080_2024-03-24_final.stac-item
2024-03-25 09:59:39	ga_ls9c_ard_3-2-1_097074_2024-03-25_final.stac-item
2024-03-25 11:37:44	ga_ls9c_ard_3-2-1_113072_2024-03-25_final.stac-item
2024-03-26 09:07:12	ga_ls9c_ard_3-2-1_088082_2024-03-25_final.stac-item
2024-03-26 10:42:06	ga_ls9c_ard_3-2-1_104072_2024-03-26_final.stac-item
2024-03-26 10:42:54	ga_ls9c_ard_3-2-1_104074_2024-03-26_final.stac-item
2024-03-26 10:44:53	ga_ls9c_ard_3-2-1_104079_2024-03-26_final.stac-item
2024-03-26 10:45:17	ga_ls9c_ard_3-2-1_104080_2024-03-26_final.stac-item
2024-03-26 10:46:05	ga_ls9c_ard_3-2-1_104082_2024-03-26_final.stac-item
2024-03-27 09:47:15	ga_ls9c_ard_3-2-1_095074_2024-03-27_final.stac-item
2024-03-27 09:49:39	ga_ls9c_ard_3-2-1_095080_2024-03-27_final.stac-item
2024-03-27 09:50:27	ga_ls9c_ard_3-2-1_095082_2024-03-27_final.stac-item
2024-03-27 11:24:56	ga_ls9c_ard_3-2-1_111071_2024-03-27_final.stac-item
2024-03-28 10:29:17	ga_ls9c_ard_3-2-1_102071_2024-03-28_final.stac-item
2024-03-28 10:29:41	ga_ls9c_ard_3-2-1_102072_2024-03-28_final.stac-item
2024-03-28 10:32:53	ga_ls9c_ard_3-2-1_102080_2024-03-28_final.stac-item
2024-03-28 10:33:41	ga_ls9c_ard_3-2-1_102082_2024-03-28_final.stac-item
2024-03-29 09:33:39	ga_ls9c_ard_3-2-1_093071_2024-03-29_final.stac-item
2024-03-29 11:13:44	ga_ls9c_ard_3-2-1_109074_2024-03-29_final.stac-item
2024-03-30 08:42:25	ga_ls9c_ard_3-2-1_084082_2024-03-29_final.stac-item
2024-03-30 10:18:07	ga_ls9c_ard_3-2-1_100074_2024-03-30_final.stac-item
2024-03-30 10:21:18	ga_ls9c_ard_3-2-1_100082_2024-03-30_final.stac-item

Return to ga_ls9c_ard_3 across March 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

March

All days