Search ga_s2bm_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-08-19 11:00:16	ga_s2bm_ard_3-2-1_53LKJ_2022-08-19_final.stac-item
2022-08-20 10:36:55	ga_s2bm_ard_3-2-1_53HMB_2022-08-20_final.stac-item
2022-08-22 11:10:05	ga_s2bm_ard_3-2-1_53LKJ_2022-08-22_final.stac-item
2022-08-24 10:17:20	ga_s2bm_ard_3-2-1_53HQV_2022-08-24_final.stac-item
2022-08-24 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2022-08-24_final.stac-item
2022-08-25 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2022-08-25_final.stac-item
2022-08-29 11:00:15	ga_s2bm_ard_3-2-1_53LKJ_2022-08-29_final.stac-item
2022-08-30 10:36:55	ga_s2bm_ard_3-2-1_53HMB_2022-08-30_final.stac-item
2022-08-31 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2022-08-31_final.stac-item
2022-09-01 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2022-09-01_final.stac-item
2022-09-03 10:17:21	ga_s2bm_ard_3-2-1_53HQV_2022-09-03_final.stac-item
2022-09-04 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2022-09-04_final.stac-item
2022-09-06 10:27:15	ga_s2bm_ard_3-2-1_53HQV_2022-09-06_final.stac-item
2022-09-07 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2022-09-07_final.stac-item
2022-09-09 10:36:56	ga_s2bm_ard_3-2-1_53HMB_2022-09-09_final.stac-item
2022-09-10 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2022-09-10_final.stac-item
2022-09-11 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2022-09-11_final.stac-item
2022-09-13 10:17:21	ga_s2bm_ard_3-2-1_53HQV_2022-09-13_final.stac-item
2022-09-13 11:51:40	ga_s2bm_ard_3-2-1_51LUD_2022-09-13_final.stac-item
2022-09-14 11:27:12	ga_s2bm_ard_3-2-1_51HVB_2022-09-14_final.stac-item
2022-09-14 11:27:16	ga_s2bm_ard_3-2-1_51HTB_2022-09-14_final.stac-item
2022-09-20 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2022-09-20_final.stac-item
2022-09-21 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2022-09-21_final.stac-item
2022-09-21 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2022-09-21_final.stac-item
2022-09-23 10:17:20	ga_s2bm_ard_3-2-1_53HQV_2022-09-23_final.stac-item
2022-09-23 11:51:39	ga_s2bm_ard_3-2-1_51LUD_2022-09-23_final.stac-item
2022-09-23 11:52:50	ga_s2bm_ard_3-2-1_50KQE_2022-09-23_final.stac-item
2022-10-01 11:16:54	ga_s2bm_ard_3-2-1_51HXC_2022-10-01_final.stac-item
2022-10-03 10:17:18	ga_s2bm_ard_3-2-1_53HQV_2022-10-03_final.stac-item
2022-10-03 11:51:37	ga_s2bm_ard_3-2-1_51LUD_2022-10-03_final.stac-item
2022-10-03 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-10-03_final.stac-item
2022-10-03 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2022-10-03_final.stac-item
2022-10-04 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2022-10-04_final.stac-item
2022-10-06 10:27:10	ga_s2bm_ard_3-2-1_53HQV_2022-10-06_final.stac-item
2022-10-07 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2022-10-07_final.stac-item
2022-10-10 11:41:45	ga_s2bm_ard_3-2-1_51LUD_2022-10-10_final.stac-item
2022-10-10 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2022-10-10_final.stac-item
2022-10-11 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2022-10-11_final.stac-item
2022-10-11 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2022-10-11_final.stac-item
2022-10-13 11:51:37	ga_s2bm_ard_3-2-1_51LUD_2022-10-13_final.stac-item
2022-10-14 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2022-10-14_final.stac-item
2022-10-14 11:27:13	ga_s2bm_ard_3-2-1_51HTB_2022-10-14_final.stac-item
2022-10-17 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2022-10-17_final.stac-item
2022-10-20 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2022-10-20_final.stac-item
2022-10-21 11:10:03	ga_s2bm_ard_3-2-1_53LKJ_2022-10-21_final.stac-item
2022-10-23 11:51:38	ga_s2bm_ard_3-2-1_51LUD_2022-10-23_final.stac-item
2022-10-26 10:27:12	ga_s2bm_ard_3-2-1_53HQV_2022-10-26_final.stac-item
2022-10-28 11:00:13	ga_s2bm_ard_3-2-1_53LKJ_2022-10-28_final.stac-item
2022-10-30 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2022-10-30_final.stac-item
2022-10-31 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2022-10-31_final.stac-item
2022-11-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-11-02_final.stac-item
2022-11-09 11:41:46	ga_s2bm_ard_3-2-1_51LUD_2022-11-09_final.stac-item
2022-11-10 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2022-11-10_final.stac-item
2022-11-12 10:17:19	ga_s2bm_ard_3-2-1_53HQV_2022-11-12_final.stac-item
2022-11-15 10:27:12	ga_s2bm_ard_3-2-1_53HQV_2022-11-15_final.stac-item
2022-11-19 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2022-11-19_final.stac-item
2022-11-22 10:17:19	ga_s2bm_ard_3-2-1_53HQV_2022-11-22_final.stac-item
2022-11-22 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2022-11-22_final.stac-item
2022-11-22 11:52:48	ga_s2bm_ard_3-2-1_50KQE_2022-11-22_final.stac-item
2022-11-23 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2022-11-23_final.stac-item
2022-11-26 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2022-11-26_final.stac-item
2022-11-29 11:41:46	ga_s2bm_ard_3-2-1_51LUD_2022-11-29_final.stac-item
2022-11-30 11:16:54	ga_s2bm_ard_3-2-1_51HXC_2022-11-30_final.stac-item
2022-11-30 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2022-11-30_final.stac-item
2022-12-02 11:51:36	ga_s2bm_ard_3-2-1_51LUD_2022-12-02_final.stac-item
2022-12-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-12-02_final.stac-item
2022-12-02 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2022-12-02_final.stac-item
2022-12-03 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2022-12-03_final.stac-item
2022-12-06 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2022-12-06_final.stac-item
2022-12-07 11:00:11	ga_s2bm_ard_3-2-1_53LKJ_2022-12-07_final.stac-item
2022-12-08 10:36:50	ga_s2bm_ard_3-2-1_53HMB_2022-12-08_final.stac-item
2022-12-12 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-12-12_final.stac-item
2022-12-18 10:36:52	ga_s2bm_ard_3-2-1_53HMB_2022-12-18_final.stac-item
2022-12-19 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2022-12-19_final.stac-item
2022-12-20 11:16:54	ga_s2bm_ard_3-2-1_51HXC_2022-12-20_final.stac-item
2022-12-20 11:17:04	ga_s2bm_ard_3-2-1_51HXB_2022-12-20_final.stac-item
2022-12-22 11:51:37	ga_s2bm_ard_3-2-1_51LUD_2022-12-22_final.stac-item
2022-12-22 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-12-22_final.stac-item
2022-12-22 11:52:48	ga_s2bm_ard_3-2-1_50KQE_2022-12-22_final.stac-item
2022-12-26 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2022-12-26_final.stac-item
2022-12-28 10:36:53	ga_s2bm_ard_3-2-1_53HMB_2022-12-28_final.stac-item
2022-12-29 11:41:46	ga_s2bm_ard_3-2-1_51LUD_2022-12-29_final.stac-item
2022-12-29 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2022-12-29_final.stac-item
2023-09-01 10:27:13	ga_s2bm_ard_3-2-1_53HNA_2023-09-01_nrt.stac-item
2023-09-01 12:00:45	ga_s2bm_ard_3-2-1_50LNP_2023-09-01_nrt.stac-item
2023-09-01 12:00:49	ga_s2bm_ard_3-2-1_50LMP_2023-09-01_nrt.stac-item
2023-09-01 12:00:59	ga_s2bm_ard_3-2-1_50LNN_2023-09-01_nrt.stac-item
2023-09-01 12:01:02	ga_s2bm_ard_3-2-1_50LMN_2023-09-01_nrt.stac-item
2023-09-01 12:01:14	ga_s2bm_ard_3-2-1_50LNM_2023-09-01_nrt.stac-item
2023-09-01 12:01:17	ga_s2bm_ard_3-2-1_50LMM_2023-09-01_nrt.stac-item
2023-09-01 12:01:28	ga_s2bm_ard_3-2-1_50LNL_2023-09-01_nrt.stac-item
2023-09-01 12:01:32	ga_s2bm_ard_3-2-1_50LML_2023-09-01_nrt.stac-item
2023-09-01 12:01:37	ga_s2bm_ard_3-2-1_50LPK_2023-09-01_nrt.stac-item
2023-09-01 12:01:39	ga_s2bm_ard_3-2-1_50LNK_2023-09-01_nrt.stac-item
2023-09-01 12:01:41	ga_s2bm_ard_3-2-1_50LMK_2023-09-01_nrt.stac-item
2023-09-01 12:03:01	ga_s2bm_ard_3-2-1_50KME_2023-09-01_nrt.stac-item
2023-09-01 12:03:22	ga_s2bm_ard_3-2-1_49KHU_2023-09-01_nrt.stac-item
2023-09-01 12:06:07	ga_s2bm_ard_3-2-1_49JFH_2023-09-01_nrt.stac-item
2023-09-01 12:06:21	ga_s2bm_ard_3-2-1_49JFG_2023-09-01_nrt.stac-item
2023-09-01 12:06:26	ga_s2bm_ard_3-2-1_50JKL_2023-09-01_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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