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
2021-12-05 10:07:20	ga_ls9c_ard_3-2-1_098077_2021-12-05_final.stac-item
2021-12-19 10:17:11	ga_ls9c_ard_3-2-1_100071_2021-12-19_final.stac-item
2021-12-28 10:13:01	ga_ls9c_ard_3-2-1_099076_2021-12-28_final.stac-item
2022-01-04 10:17:11	ga_ls9c_ard_3-2-1_100071_2022-01-04_final.stac-item
2022-01-20 10:17:10	ga_ls9c_ard_3-2-1_100071_2022-01-20_final.stac-item
2022-02-21 10:17:02	ga_ls9c_ard_3-2-1_100071_2022-02-21_final.stac-item
2022-03-09 10:16:56	ga_ls9c_ard_3-2-1_100071_2022-03-09_final.stac-item
2022-04-03 10:12:40	ga_ls9c_ard_3-2-1_099076_2022-04-03_final.stac-item
2022-04-26 10:16:40	ga_ls9c_ard_3-2-1_100071_2022-04-26_final.stac-item
2022-04-28 10:06:41	ga_ls9c_ard_3-2-1_098077_2022-04-28_final.stac-item
2022-06-13 10:16:30	ga_ls9c_ard_3-2-1_100071_2022-06-13_final.stac-item
2022-06-29 10:16:47	ga_ls9c_ard_3-2-1_100071_2022-06-29_final.stac-item
2022-07-08 10:12:34	ga_ls9c_ard_3-2-1_099076_2022-07-08_final.stac-item
2022-07-17 10:06:23	ga_ls9c_ard_3-2-1_098076_2022-07-17_final.stac-item
2022-07-17 10:06:46	ga_ls9c_ard_3-2-1_098077_2022-07-17_final.stac-item
2022-07-24 10:12:41	ga_ls9c_ard_3-2-1_099076_2022-07-24_final.stac-item
2022-07-31 10:16:57	ga_ls9c_ard_3-2-1_100071_2022-07-31_final.stac-item
2022-08-02 10:07:01	ga_ls9c_ard_3-2-1_098077_2022-08-02_final.stac-item
2022-08-16 10:17:06	ga_ls9c_ard_3-2-1_100071_2022-08-16_final.stac-item
2022-09-03 10:07:10	ga_ls9c_ard_3-2-1_098077_2022-09-03_final.stac-item
2022-09-10 10:12:57	ga_ls9c_ard_3-2-1_099076_2022-09-10_final.stac-item
2022-09-26 10:13:05	ga_ls9c_ard_3-2-1_099076_2022-09-26_final.stac-item
2022-10-03 10:17:16	ga_ls9c_ard_3-2-1_100071_2022-10-03_final.stac-item
2022-10-05 10:06:53	ga_ls9c_ard_3-2-1_098076_2022-10-05_final.stac-item
2022-10-12 10:13:08	ga_ls9c_ard_3-2-1_099076_2022-10-12_final.stac-item
2022-10-19 10:17:21	ga_ls9c_ard_3-2-1_100071_2022-10-19_final.stac-item
2022-10-21 10:07:00	ga_ls9c_ard_3-2-1_098076_2022-10-21_final.stac-item
2022-11-06 10:07:22	ga_ls9c_ard_3-2-1_098077_2022-11-06_final.stac-item
2022-11-22 10:07:00	ga_ls9c_ard_3-2-1_098076_2022-11-22_final.stac-item
2022-11-29 10:13:09	ga_ls9c_ard_3-2-1_099076_2022-11-29_final.stac-item
2022-12-06 10:17:20	ga_ls9c_ard_3-2-1_100071_2022-12-06_nrt.stac-item
2022-12-15 10:13:10	ga_ls9c_ard_3-2-1_099076_2022-12-15_final.stac-item
2022-12-24 10:06:56	ga_ls9c_ard_3-2-1_098076_2022-12-24_final.stac-item
2022-12-24 10:07:20	ga_ls9c_ard_3-2-1_098077_2022-12-24_final.stac-item
2023-01-07 10:17:21	ga_ls9c_ard_3-2-1_100071_2023-01-07_final.stac-item
2023-01-16 10:13:05	ga_ls9c_ard_3-2-1_099076_2023-01-16_final.stac-item
2023-01-23 10:17:14	ga_ls9c_ard_3-2-1_100071_2023-01-23_final.stac-item
2023-01-25 10:07:19	ga_ls9c_ard_3-2-1_098077_2023-01-25_final.stac-item
2023-02-08 10:17:25	ga_ls9c_ard_3-2-1_100071_2023-02-08_final.stac-item
2023-02-10 10:07:03	ga_ls9c_ard_3-2-1_098076_2023-02-10_final.stac-item
2023-02-17 10:13:09	ga_ls9c_ard_3-2-1_099076_2023-02-17_final.stac-item
2023-03-12 10:17:03	ga_ls9c_ard_3-2-1_100071_2023-03-12_final.stac-item
2023-03-14 10:06:41	ga_ls9c_ard_3-2-1_098076_2023-03-14_final.stac-item
2023-03-14 10:07:05	ga_ls9c_ard_3-2-1_098077_2023-03-14_final.stac-item
2023-03-28 10:16:53	ga_ls9c_ard_3-2-1_100071_2023-03-28_final.stac-item
2023-03-30 10:06:53	ga_ls9c_ard_3-2-1_098077_2023-03-30_final.stac-item
2023-04-13 10:16:46	ga_ls9c_ard_3-2-1_100071_2023-04-13_final.stac-item
2023-04-15 10:06:23	ga_ls9c_ard_3-2-1_098076_2023-04-15_final.stac-item
2023-04-15 10:06:47	ga_ls9c_ard_3-2-1_098077_2023-04-15_final.stac-item
2023-04-29 10:16:40	ga_ls9c_ard_3-2-1_100071_2023-04-29_final.stac-item
2023-05-01 10:06:40	ga_ls9c_ard_3-2-1_098077_2023-05-01_final.stac-item
2023-05-08 10:12:22	ga_ls9c_ard_3-2-1_099076_2023-05-08_final.stac-item
2023-05-15 10:16:31	ga_ls9c_ard_3-2-1_100071_2023-05-15_final.stac-item
2023-05-17 10:06:32	ga_ls9c_ard_3-2-1_098077_2023-05-17_final.stac-item
2023-05-31 10:16:23	ga_ls9c_ard_3-2-1_100071_2023-05-31_final.stac-item
2023-06-02 10:06:00	ga_ls9c_ard_3-2-1_098076_2023-06-02_final.stac-item
2023-06-02 10:06:24	ga_ls9c_ard_3-2-1_098077_2023-06-02_final.stac-item
2023-06-16 10:16:13	ga_ls9c_ard_3-2-1_100071_2023-06-16_final.stac-item
2023-06-18 10:05:52	ga_ls9c_ard_3-2-1_098076_2023-06-18_final.stac-item
2023-06-18 10:06:16	ga_ls9c_ard_3-2-1_098077_2023-06-18_final.stac-item
2023-06-25 10:12:02	ga_ls9c_ard_3-2-1_099076_2023-06-25_final.stac-item
2023-07-02 10:16:23	ga_ls9c_ard_3-2-1_100071_2023-07-02_final.stac-item
2023-07-04 10:06:27	ga_ls9c_ard_3-2-1_098077_2023-07-04_final.stac-item
2023-07-18 10:16:31	ga_ls9c_ard_3-2-1_100071_2023-07-18_final.stac-item
2023-07-20 10:06:32	ga_ls9c_ard_3-2-1_098077_2023-07-20_final.stac-item
2023-08-03 10:16:38	ga_ls9c_ard_3-2-1_100071_2023-08-03_final.stac-item
2023-08-05 10:06:41	ga_ls9c_ard_3-2-1_098077_2023-08-05_final.stac-item
2023-08-19 10:16:41	ga_ls9c_ard_3-2-1_100071_2023-08-19_final.stac-item
2023-08-21 10:06:45	ga_ls9c_ard_3-2-1_098077_2023-08-21_final.stac-item
2023-09-04 10:16:52	ga_ls9c_ard_3-2-1_100071_2023-09-04_final.stac-item
2023-09-06 10:06:56	ga_ls9c_ard_3-2-1_098077_2023-09-06_final.stac-item
2023-09-20 10:16:59	ga_ls9c_ard_3-2-1_100071_2023-09-20_final.stac-item
2023-09-22 10:07:00	ga_ls9c_ard_3-2-1_098077_2023-09-22_final.stac-item
2023-10-06 10:17:01	ga_ls9c_ard_3-2-1_100071_2023-10-06_final.stac-item
2023-10-08 10:07:04	ga_ls9c_ard_3-2-1_098077_2023-10-08_final.stac-item
2023-10-22 10:17:09	ga_ls9c_ard_3-2-1_100071_2023-10-22_final.stac-item
2023-10-24 10:07:11	ga_ls9c_ard_3-2-1_098077_2023-10-24_final.stac-item
2023-11-07 10:17:04	ga_ls9c_ard_3-2-1_100071_2023-11-07_final.stac-item
2023-11-09 10:07:07	ga_ls9c_ard_3-2-1_098077_2023-11-09_final.stac-item
2023-11-23 10:17:11	ga_ls9c_ard_3-2-1_100071_2023-11-23_final.stac-item
2023-11-25 10:07:14	ga_ls9c_ard_3-2-1_098077_2023-11-25_final.stac-item
2023-12-09 10:17:08	ga_ls9c_ard_3-2-1_100071_2023-12-09_final.stac-item
2023-12-11 10:07:12	ga_ls9c_ard_3-2-1_098077_2023-12-11_final.stac-item
2023-12-25 10:17:15	ga_ls9c_ard_3-2-1_100071_2023-12-25_final.stac-item
2023-12-27 10:07:16	ga_ls9c_ard_3-2-1_098077_2023-12-27_final.stac-item
2024-01-10 10:17:10	ga_ls9c_ard_3-2-1_100071_2024-01-10_final.stac-item
2024-01-12 10:07:13	ga_ls9c_ard_3-2-1_098077_2024-01-12_final.stac-item
2024-01-26 10:17:08	ga_ls9c_ard_3-2-1_100071_2024-01-26_final.stac-item
2024-01-28 10:07:12	ga_ls9c_ard_3-2-1_098077_2024-01-28_final.stac-item
2024-02-11 10:17:12	ga_ls9c_ard_3-2-1_100071_2024-02-11_final.stac-item
2024-02-13 10:07:13	ga_ls9c_ard_3-2-1_098077_2024-02-13_final.stac-item
2024-02-27 10:17:02	ga_ls9c_ard_3-2-1_100071_2024-02-27_final.stac-item
2024-02-29 10:07:05	ga_ls9c_ard_3-2-1_098077_2024-02-29_final.stac-item
2024-03-14 10:17:04	ga_ls9c_ard_3-2-1_100071_2024-03-14_final.stac-item
2024-03-16 10:07:06	ga_ls9c_ard_3-2-1_098077_2024-03-16_final.stac-item
2024-03-30 10:16:55	ga_ls9c_ard_3-2-1_100071_2024-03-30_final.stac-item
2024-04-01 10:06:57	ga_ls9c_ard_3-2-1_098077_2024-04-01_final.stac-item
2024-04-15 10:16:48	ga_ls9c_ard_3-2-1_100071_2024-04-15_final.stac-item
2024-04-17 10:06:47	ga_ls9c_ard_3-2-1_098077_2024-04-17_final.stac-item
2024-05-01 10:16:31	ga_ls9c_ard_3-2-1_100071_2024-05-01_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