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

83 results

Time (local)	Label
2021-12-19 10:17:35	ga_ls9c_ard_3-2-1_100072_2021-12-19_final.stac-item
2021-12-20 09:26:45	ga_ls9c_ard_3-2-1_091084_2021-12-19_final.stac-item
2021-12-21 10:09:37	ga_ls9c_ard_3-2-1_098083_2021-12-21_final.stac-item
2022-02-06 11:05:13	ga_ls9c_ard_3-2-1_107083_2022-02-06_final.stac-item
2022-02-07 11:44:53	ga_ls9c_ard_3-2-1_114074_2022-02-07_final.stac-item
2022-02-15 09:21:17	ga_ls9c_ard_3-2-1_090086_2022-02-14_final.stac-item
2022-02-28 10:25:55	ga_ls9c_ard_3-2-1_101078_2022-02-28_final.stac-item
2022-03-02 11:52:25	ga_ls9c_ard_3-2-1_115078_2022-03-02_final.stac-item
2022-04-01 10:25:26	ga_ls9c_ard_3-2-1_101077_2022-04-01_final.stac-item
2022-04-02 09:29:00	ga_ls9c_ard_3-2-1_092075_2022-04-01_final.stac-item
2022-04-12 11:47:18	ga_ls9c_ard_3-2-1_114081_2022-04-12_final.stac-item
2022-04-26 10:21:03	ga_ls9c_ard_3-2-1_100082_2022-04-26_final.stac-item
2022-04-27 11:01:31	ga_ls9c_ard_3-2-1_107075_2022-04-27_final.stac-item
2022-05-13 09:28:05	ga_ls9c_ard_3-2-1_091089_2022-05-12_final.stac-item
2022-05-14 10:03:21	ga_ls9c_ard_3-2-1_098069_2022-05-14_final.stac-item
2022-05-29 11:04:52	ga_ls9c_ard_3-2-1_107084_2022-05-29_final.stac-item
2022-06-09 09:06:16	ga_ls9c_ard_3-2-1_088081_2022-06-08_final.stac-item
2022-06-24 09:57:50	ga_ls9c_ard_3-2-1_097070_2022-06-24_final.stac-item
2022-06-30 09:23:09	ga_ls9c_ard_3-2-1_091076_2022-06-29_final.stac-item
2022-07-18 09:15:58	ga_ls9c_ard_3-2-1_089089_2022-07-17_final.stac-item
2022-07-19 09:58:03	ga_ls9c_ard_3-2-1_096086_2022-07-19_final.stac-item
2022-09-07 11:19:20	ga_ls9c_ard_3-2-1_110072_2022-09-07_final.stac-item
2022-09-25 09:34:12	ga_ls9c_ard_3-2-1_092087_2022-09-25_final.stac-item
2022-09-27 09:21:03	ga_ls9c_ard_3-2-1_090085_2022-09-26_final.stac-item
2022-10-18 11:12:11	ga_ls9c_ard_3-2-1_109069_2022-10-18_final.stac-item
2022-11-05 11:05:22	ga_ls9c_ard_3-2-1_107083_2022-11-05_final.stac-item
2022-11-13 11:53:16	ga_ls9c_ard_3-2-1_115079_2022-11-13_final.stac-item
2022-11-16 09:07:12	ga_ls9c_ard_3-2-1_088081_2022-11-15_final.stac-item
2022-11-22 10:04:37	ga_ls9c_ard_3-2-1_098070_2022-11-22_final.stac-item
2022-12-08 10:03:24	ga_ls9c_ard_3-2-1_098067_2022-12-08_final.stac-item
2022-12-18 10:40:52	ga_ls9c_ard_3-2-1_104068_2022-12-18_final.stac-item
2022-12-24 10:06:08	ga_ls9c_ard_3-2-1_098074_2022-12-24_final.stac-item
2022-12-29 10:23:55	ga_ls9c_ard_3-2-1_101072_2022-12-29_final.stac-item
2023-01-02 10:04:24	ga_ls9c_ard_3-2-1_097085_2023-01-02_final.stac-item
2023-01-10 09:14:09	ga_ls9c_ard_3-2-1_089083_2023-01-09_final.stac-item
2023-01-13 11:19:31	ga_ls9c_ard_3-2-1_110072_2023-01-13_final.stac-item
2023-01-16 10:12:18	ga_ls9c_ard_3-2-1_099074_2023-01-16_final.stac-item
2023-01-22 09:35:33	ga_ls9c_ard_3-2-1_093075_2023-01-22_final.stac-item
2023-01-28 10:37:04	ga_ls9c_ard_3-2-1_103074_2023-01-28_final.stac-item
2023-01-29 09:41:03	ga_ls9c_ard_3-2-1_094073_2023-01-29_final.stac-item
2023-02-06 10:29:22	ga_ls9c_ard_3-2-1_102070_2023-02-06_final.stac-item
2023-02-09 09:24:11	ga_ls9c_ard_3-2-1_091077_2023-02-08_final.stac-item
2023-02-15 10:28:20	ga_ls9c_ard_3-2-1_101083_2023-02-15_final.stac-item
2023-02-25 09:23:33	ga_ls9c_ard_3-2-1_091076_2023-02-24_final.stac-item
2023-02-25 11:01:38	ga_ls9c_ard_3-2-1_107074_2023-02-25_final.stac-item
2023-03-16 11:36:00	ga_ls9c_ard_3-2-1_112083_2023-03-16_final.stac-item
2023-04-12 11:14:24	ga_ls9c_ard_3-2-1_109076_2023-04-12_final.stac-item
2023-04-19 11:19:22	ga_ls9c_ard_3-2-1_110073_2023-04-19_final.stac-item
2023-05-18 09:11:18	ga_ls9c_ard_3-2-1_089078_2023-05-17_final.stac-item
2023-05-28 09:50:40	ga_ls9c_ard_3-2-1_095084_2023-05-28_final.stac-item
2023-06-01 09:22:21	ga_ls9c_ard_3-2-1_091075_2023-05-31_final.stac-item
2023-06-04 09:55:14	ga_ls9c_ard_3-2-1_096080_2023-06-04_final.stac-item
2023-06-06 11:22:56	ga_ls9c_ard_3-2-1_110083_2023-06-06_final.stac-item
2023-06-11 09:56:09	ga_ls9c_ard_3-2-1_097067_2023-06-11_final.stac-item
2023-06-26 10:52:07	ga_ls9c_ard_3-2-1_106068_2023-06-26_final.stac-item
2023-07-12 10:55:10	ga_ls9c_ard_3-2-1_106075_2023-07-12_final.stac-item
2023-07-19 09:26:52	ga_ls9c_ard_3-2-1_091086_2023-07-18_final.stac-item
2023-07-19 09:28:04	ga_ls9c_ard_3-2-1_091089_2023-07-18_final.stac-item
2023-08-12 10:09:18	ga_ls9c_ard_3-2-1_099068_2023-08-12_final.stac-item
2023-10-13 10:25:41	ga_ls9c_ard_3-2-1_101077_2023-10-13_final.stac-item
2023-11-07 10:17:28	ga_ls9c_ard_3-2-1_100072_2023-11-07_final.stac-item
2023-11-10 09:11:30	ga_ls9c_ard_3-2-1_089077_2023-11-09_final.stac-item
2023-11-27 09:52:30	ga_ls9c_ard_3-2-1_096071_2023-11-27_final.stac-item
2023-11-29 11:21:01	ga_ls9c_ard_3-2-1_110076_2023-11-29_final.stac-item
2023-12-03 10:54:16	ga_ls9c_ard_3-2-1_106071_2023-12-03_final.stac-item
2023-12-09 10:17:32	ga_ls9c_ard_3-2-1_100072_2023-12-09_final.stac-item
2023-12-23 10:30:25	ga_ls9c_ard_3-2-1_102073_2023-12-23_final.stac-item
2023-12-25 10:21:38	ga_ls9c_ard_3-2-1_100082_2023-12-25_final.stac-item
2023-12-29 09:58:30	ga_ls9c_ard_3-2-1_096086_2023-12-29_final.stac-item
2024-01-04 10:55:50	ga_ls9c_ard_3-2-1_106075_2024-01-04_final.stac-item
2024-01-21 11:37:54	ga_ls9c_ard_3-2-1_113072_2024-01-21_final.stac-item
2024-01-29 09:13:59	ga_ls9c_ard_3-2-1_089083_2024-01-28_final.stac-item
2024-02-07 09:06:39	ga_ls9c_ard_3-2-1_088080_2024-02-06_final.stac-item
2024-02-10 11:14:02	ga_ls9c_ard_3-2-1_109074_2024-02-10_final.stac-item
2024-02-12 09:23:58	ga_ls9c_ard_3-2-1_091077_2024-02-11_final.stac-item
2024-02-26 09:33:45	ga_ls9c_ard_3-2-1_093071_2024-02-26_final.stac-item
2024-02-26 09:35:21	ga_ls9c_ard_3-2-1_093075_2024-02-26_final.stac-item
2024-03-13 09:39:24	ga_ls9c_ard_3-2-1_093085_2024-03-13_final.stac-item
2024-03-18 11:36:01	ga_ls9c_ard_3-2-1_112083_2024-03-18_final.stac-item
2024-03-26 09:07:12	ga_ls9c_ard_3-2-1_088082_2024-03-25_final.stac-item
2024-04-07 09:33:02	ga_ls9c_ard_3-2-1_092085_2024-04-07_final.stac-item
2024-04-21 11:20:02	ga_ls9c_ard_3-2-1_110075_2024-04-21_final.stac-item
2024-04-30 11:14:08	ga_ls9c_ard_3-2-1_109076_2024-04-30_nrt.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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years