Search ga_ls9c_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
2023-09-05 11:02:57	ga_ls9c_ard_3-2-1_107078_2023-09-05_final.stac-item
2023-09-05 11:03:21	ga_ls9c_ard_3-2-1_107079_2023-09-05_final.stac-item
2023-09-05 11:03:45	ga_ls9c_ard_3-2-1_107080_2023-09-05_final.stac-item
2023-09-05 11:04:08	ga_ls9c_ard_3-2-1_107081_2023-09-05_final.stac-item
2023-09-05 11:04:32	ga_ls9c_ard_3-2-1_107082_2023-09-05_final.stac-item
2023-09-05 11:04:56	ga_ls9c_ard_3-2-1_107083_2023-09-05_final.stac-item
2023-09-05 11:05:20	ga_ls9c_ard_3-2-1_107084_2023-09-05_final.stac-item
2023-09-08 11:31:30	ga_ls9c_ard_3-2-1_112072_2023-09-08_final.stac-item
2023-09-10 11:17:57	ga_ls9c_ard_3-2-1_110069_2023-09-10_final.stac-item
2023-09-10 11:18:21	ga_ls9c_ard_3-2-1_110070_2023-09-10_final.stac-item
2023-09-10 11:18:45	ga_ls9c_ard_3-2-1_110071_2023-09-10_final.stac-item
2023-09-10 11:19:09	ga_ls9c_ard_3-2-1_110072_2023-09-10_final.stac-item
2023-09-10 11:19:33	ga_ls9c_ard_3-2-1_110073_2023-09-10_final.stac-item
2023-09-10 11:19:57	ga_ls9c_ard_3-2-1_110074_2023-09-10_final.stac-item
2023-09-10 11:20:21	ga_ls9c_ard_3-2-1_110075_2023-09-10_final.stac-item
2023-09-10 11:20:45	ga_ls9c_ard_3-2-1_110076_2023-09-10_final.stac-item
2023-09-10 11:21:09	ga_ls9c_ard_3-2-1_110077_2023-09-10_final.stac-item
2023-09-10 11:21:33	ga_ls9c_ard_3-2-1_110078_2023-09-10_final.stac-item
2023-09-10 11:21:57	ga_ls9c_ard_3-2-1_110079_2023-09-10_final.stac-item
2023-09-10 11:22:21	ga_ls9c_ard_3-2-1_110080_2023-09-10_final.stac-item
2023-09-10 11:22:45	ga_ls9c_ard_3-2-1_110081_2023-09-10_final.stac-item
2023-09-12 11:07:36	ga_ls9c_ard_3-2-1_108074_2023-09-12_final.stac-item
2023-09-12 11:08:00	ga_ls9c_ard_3-2-1_108075_2023-09-12_final.stac-item
2023-09-12 11:08:24	ga_ls9c_ard_3-2-1_108076_2023-09-12_final.stac-item
2023-09-12 11:08:48	ga_ls9c_ard_3-2-1_108077_2023-09-12_final.stac-item
2023-09-12 11:09:12	ga_ls9c_ard_3-2-1_108078_2023-09-12_final.stac-item
2023-09-12 11:09:36	ga_ls9c_ard_3-2-1_108079_2023-09-12_final.stac-item
2023-09-12 11:10:00	ga_ls9c_ard_3-2-1_108080_2023-09-12_final.stac-item
2023-09-12 11:10:24	ga_ls9c_ard_3-2-1_108081_2023-09-12_final.stac-item
2023-09-12 11:10:48	ga_ls9c_ard_3-2-1_108082_2023-09-12_final.stac-item
2023-09-12 11:11:12	ga_ls9c_ard_3-2-1_108083_2023-09-12_final.stac-item
2023-09-12 11:11:36	ga_ls9c_ard_3-2-1_108084_2023-09-12_final.stac-item
2023-09-14 10:58:27	ga_ls9c_ard_3-2-1_106082_2023-09-14_final.stac-item
2023-09-14 10:58:51	ga_ls9c_ard_3-2-1_106083_2023-09-14_final.stac-item
2023-09-17 11:23:46	ga_ls9c_ard_3-2-1_111068_2023-09-17_final.stac-item
2023-09-17 11:24:10	ga_ls9c_ard_3-2-1_111069_2023-09-17_final.stac-item
2023-09-17 11:24:34	ga_ls9c_ard_3-2-1_111070_2023-09-17_final.stac-item
2023-09-17 11:24:58	ga_ls9c_ard_3-2-1_111071_2023-09-17_final.stac-item
2023-09-17 11:25:22	ga_ls9c_ard_3-2-1_111072_2023-09-17_final.stac-item
2023-09-17 11:25:46	ga_ls9c_ard_3-2-1_111073_2023-09-17_final.stac-item
2023-09-17 11:26:10	ga_ls9c_ard_3-2-1_111074_2023-09-17_final.stac-item
2023-09-17 11:26:34	ga_ls9c_ard_3-2-1_111075_2023-09-17_final.stac-item
2023-09-17 11:26:58	ga_ls9c_ard_3-2-1_111076_2023-09-17_final.stac-item
2023-09-17 11:27:22	ga_ls9c_ard_3-2-1_111077_2023-09-17_final.stac-item
2023-09-21 11:03:02	ga_ls9c_ard_3-2-1_107078_2023-09-21_final.stac-item
2023-09-21 11:03:26	ga_ls9c_ard_3-2-1_107079_2023-09-21_final.stac-item
2023-09-21 11:03:50	ga_ls9c_ard_3-2-1_107080_2023-09-21_final.stac-item
2023-09-21 11:04:14	ga_ls9c_ard_3-2-1_107081_2023-09-21_final.stac-item
2023-09-21 11:04:38	ga_ls9c_ard_3-2-1_107082_2023-09-21_final.stac-item
2023-09-21 11:05:01	ga_ls9c_ard_3-2-1_107083_2023-09-21_final.stac-item
2023-09-21 11:05:25	ga_ls9c_ard_3-2-1_107084_2023-09-21_final.stac-item
2023-09-26 11:17:56	ga_ls9c_ard_3-2-1_110069_2023-09-26_final.stac-item
2023-09-26 11:18:20	ga_ls9c_ard_3-2-1_110070_2023-09-26_final.stac-item
2023-09-26 11:18:43	ga_ls9c_ard_3-2-1_110071_2023-09-26_final.stac-item
2023-09-26 11:19:07	ga_ls9c_ard_3-2-1_110072_2023-09-26_final.stac-item
2023-09-26 11:19:31	ga_ls9c_ard_3-2-1_110073_2023-09-26_final.stac-item
2023-09-26 11:19:55	ga_ls9c_ard_3-2-1_110074_2023-09-26_final.stac-item
2023-09-26 11:20:19	ga_ls9c_ard_3-2-1_110075_2023-09-26_final.stac-item
2023-09-26 11:20:43	ga_ls9c_ard_3-2-1_110076_2023-09-26_final.stac-item
2023-09-26 11:21:07	ga_ls9c_ard_3-2-1_110077_2023-09-26_final.stac-item
2023-09-26 11:21:31	ga_ls9c_ard_3-2-1_110078_2023-09-26_final.stac-item
2023-09-26 11:21:55	ga_ls9c_ard_3-2-1_110079_2023-09-26_final.stac-item
2023-09-26 11:22:19	ga_ls9c_ard_3-2-1_110080_2023-09-26_final.stac-item
2023-09-26 11:22:43	ga_ls9c_ard_3-2-1_110081_2023-09-26_final.stac-item
2023-09-28 11:07:32	ga_ls9c_ard_3-2-1_108074_2023-09-28_final.stac-item
2023-09-28 11:07:56	ga_ls9c_ard_3-2-1_108075_2023-09-28_final.stac-item
2023-09-28 11:08:20	ga_ls9c_ard_3-2-1_108076_2023-09-28_final.stac-item
2023-09-28 11:08:44	ga_ls9c_ard_3-2-1_108077_2023-09-28_final.stac-item
2023-09-28 11:09:08	ga_ls9c_ard_3-2-1_108078_2023-09-28_final.stac-item
2023-09-28 11:09:32	ga_ls9c_ard_3-2-1_108079_2023-09-28_final.stac-item
2023-09-28 11:09:56	ga_ls9c_ard_3-2-1_108080_2023-09-28_final.stac-item
2023-09-28 11:10:20	ga_ls9c_ard_3-2-1_108081_2023-09-28_final.stac-item
2023-09-28 11:10:44	ga_ls9c_ard_3-2-1_108082_2023-09-28_final.stac-item
2023-09-28 11:11:08	ga_ls9c_ard_3-2-1_108083_2023-09-28_final.stac-item
2023-09-28 11:11:32	ga_ls9c_ard_3-2-1_108084_2023-09-28_final.stac-item
2023-09-30 10:58:25	ga_ls9c_ard_3-2-1_106082_2023-09-30_final.stac-item
2023-09-30 10:58:49	ga_ls9c_ard_3-2-1_106083_2023-09-30_final.stac-item
2023-10-03 11:23:47	ga_ls9c_ard_3-2-1_111068_2023-10-03_final.stac-item
2023-10-03 11:24:10	ga_ls9c_ard_3-2-1_111069_2023-10-03_final.stac-item
2023-10-03 11:24:34	ga_ls9c_ard_3-2-1_111070_2023-10-03_final.stac-item
2023-10-03 11:24:58	ga_ls9c_ard_3-2-1_111071_2023-10-03_final.stac-item
2023-10-03 11:25:22	ga_ls9c_ard_3-2-1_111072_2023-10-03_final.stac-item
2023-10-03 11:25:46	ga_ls9c_ard_3-2-1_111073_2023-10-03_final.stac-item
2023-10-03 11:26:10	ga_ls9c_ard_3-2-1_111074_2023-10-03_final.stac-item
2023-10-03 11:26:34	ga_ls9c_ard_3-2-1_111075_2023-10-03_final.stac-item
2023-10-03 11:26:58	ga_ls9c_ard_3-2-1_111076_2023-10-03_final.stac-item
2023-10-03 11:27:22	ga_ls9c_ard_3-2-1_111077_2023-10-03_final.stac-item
2023-10-05 11:11:50	ga_ls9c_ard_3-2-1_109069_2023-10-05_final.stac-item
2023-10-05 11:13:02	ga_ls9c_ard_3-2-1_109072_2023-10-05_final.stac-item
2023-10-05 11:13:26	ga_ls9c_ard_3-2-1_109073_2023-10-05_final.stac-item
2023-10-05 11:13:50	ga_ls9c_ard_3-2-1_109074_2023-10-05_final.stac-item
2023-10-05 11:14:14	ga_ls9c_ard_3-2-1_109075_2023-10-05_final.stac-item
2023-10-05 11:14:38	ga_ls9c_ard_3-2-1_109076_2023-10-05_final.stac-item
2023-10-05 11:15:02	ga_ls9c_ard_3-2-1_109077_2023-10-05_final.stac-item
2023-10-05 11:15:26	ga_ls9c_ard_3-2-1_109078_2023-10-05_final.stac-item
2023-10-05 11:15:50	ga_ls9c_ard_3-2-1_109079_2023-10-05_final.stac-item
2023-10-05 11:16:14	ga_ls9c_ard_3-2-1_109080_2023-10-05_final.stac-item
2023-10-05 11:16:38	ga_ls9c_ard_3-2-1_109081_2023-10-05_final.stac-item
2023-10-05 11:17:02	ga_ls9c_ard_3-2-1_109082_2023-10-05_final.stac-item
2023-10-05 11:17:25	ga_ls9c_ard_3-2-1_109083_2023-10-05_final.stac-item

Return to ga_ls9c_ard_3 whole collection 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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years