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
2023-02-03 10:20:25	ga_s2bm_ard_3-2-1_54LXM_2023-02-03_final.stac-item
2023-02-03 10:20:32	ga_s2bm_ard_3-2-1_54LZL_2023-02-03_final.stac-item
2023-02-03 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2023-02-03_final.stac-item
2023-02-03 10:24:09	ga_s2bm_ard_3-2-1_54JVS_2023-02-03_final.stac-item
2023-02-03 10:24:13	ga_s2bm_ard_3-2-1_54JUS_2023-02-03_final.stac-item
2023-02-03 10:25:58	ga_s2bm_ard_3-2-1_54HTK_2023-02-03_final.stac-item
2023-02-03 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-02-03_final.stac-item
2023-02-03 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-02-03_final.stac-item
2023-02-04 09:53:44	ga_s2bm_ard_3-2-1_55JEN_2023-02-04_final.stac-item
2023-02-04 09:54:17	ga_s2bm_ard_3-2-1_55JDL_2023-02-04_final.stac-item
2023-02-04 09:55:33	ga_s2bm_ard_3-2-1_55JCF_2023-02-04_final.stac-item
2023-02-04 09:55:51	ga_s2bm_ard_3-2-1_55HBE_2023-02-04_final.stac-item
2023-02-04 09:57:00	ga_s2bm_ard_3-2-1_55HCV_2023-02-04_final.stac-item
2023-02-04 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2023-02-04_final.stac-item
2023-02-04 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2023-02-04_final.stac-item
2023-02-04 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2023-02-04_final.stac-item
2023-02-09 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2023-02-09_final.stac-item
2023-02-09 10:43:15	ga_s2bm_ard_3-2-1_53KMS_2023-02-09_final.stac-item
2023-02-09 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2023-02-09_final.stac-item
2023-02-09 10:45:27	ga_s2bm_ard_3-2-1_53JKH_2023-02-09_final.stac-item
2023-02-10 10:10:39	ga_s2bm_ard_3-2-1_54LZL_2023-02-10_final.stac-item
2023-02-10 10:10:53	ga_s2bm_ard_3-2-1_54LZK_2023-02-10_final.stac-item
2023-02-10 10:11:25	ga_s2bm_ard_3-2-1_54LYH_2023-02-10_final.stac-item
2023-02-10 10:11:36	ga_s2bm_ard_3-2-1_55KBB_2023-02-10_final.stac-item
2023-02-10 10:11:40	ga_s2bm_ard_3-2-1_54KYG_2023-02-10_final.stac-item
2023-02-10 10:11:55	ga_s2bm_ard_3-2-1_54KYF_2023-02-10_final.stac-item
2023-02-10 10:12:01	ga_s2bm_ard_3-2-1_54KXF_2023-02-10_final.stac-item
2023-02-10 10:12:13	ga_s2bm_ard_3-2-1_54KXE_2023-02-10_final.stac-item
2023-02-10 10:12:49	ga_s2bm_ard_3-2-1_54KZB_2023-02-10_final.stac-item
2023-02-10 10:12:59	ga_s2bm_ard_3-2-1_54KZA_2023-02-10_final.stac-item
2023-02-10 10:13:01	ga_s2bm_ard_3-2-1_54KWB_2023-02-10_final.stac-item
2023-02-10 10:13:04	ga_s2bm_ard_3-2-1_54KWB_2023-02-10_final.stac-item
2023-02-10 10:13:06	ga_s2bm_ard_3-2-1_54KZA_2023-02-10_final.stac-item
2023-02-10 10:13:28	ga_s2bm_ard_3-2-1_54KWV_2023-02-10_final.stac-item
2023-02-10 10:13:43	ga_s2bm_ard_3-2-1_55JBN_2023-02-10_final.stac-item
2023-02-10 10:13:43	ga_s2bm_ard_3-2-1_54KWU_2023-02-10_final.stac-item
2023-02-10 10:13:54	ga_s2bm_ard_3-2-1_54JXT_2023-02-10_final.stac-item
2023-02-10 10:14:04	ga_s2bm_ard_3-2-1_54JVT_2023-02-10_final.stac-item
2023-02-10 10:14:05	ga_s2bm_ard_3-2-1_54JYS_2023-02-10_final.stac-item
2023-02-10 10:14:09	ga_s2bm_ard_3-2-1_54JXS_2023-02-10_final.stac-item
2023-02-10 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2023-02-10_final.stac-item
2023-02-10 10:14:16	ga_s2bm_ard_3-2-1_54JVS_2023-02-10_final.stac-item
2023-02-10 10:14:19	ga_s2bm_ard_3-2-1_54JYR_2023-02-10_final.stac-item
2023-02-10 10:14:23	ga_s2bm_ard_3-2-1_54JXR_2023-02-10_final.stac-item
2023-02-10 10:14:26	ga_s2bm_ard_3-2-1_54JWR_2023-02-10_final.stac-item
2023-02-10 10:15:46	ga_s2bm_ard_3-2-1_54JUL_2023-02-10_final.stac-item
2023-02-10 10:15:53	ga_s2bm_ard_3-2-1_54HWK_2023-02-10_final.stac-item
2023-02-10 10:15:59	ga_s2bm_ard_3-2-1_54HXJ_2023-02-10_final.stac-item
2023-02-10 10:16:00	ga_s2bm_ard_3-2-1_54HUK_2023-02-10_final.stac-item
2023-02-10 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2023-02-10_final.stac-item
2023-02-10 10:17:02	ga_s2bm_ard_3-2-1_54HWE_2023-02-10_final.stac-item
2023-02-10 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2023-02-10_final.stac-item
2023-02-10 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2023-02-10_final.stac-item
2023-02-10 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2023-02-10_final.stac-item
2023-02-10 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-02-10_final.stac-item
2023-02-10 11:53:41	ga_s2bm_ard_3-2-1_50KMB_2023-02-10_final.stac-item
2023-02-10 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2023-02-10_final.stac-item
2023-02-10 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2023-02-10_final.stac-item
2023-02-10 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2023-02-10_final.stac-item
2023-02-10 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2023-02-10_final.stac-item
2023-02-10 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2023-02-10_final.stac-item
2023-02-10 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2023-02-10_final.stac-item
2023-02-10 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2023-02-10_final.stac-item
2023-02-10 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2023-02-10_final.stac-item
2023-02-10 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2023-02-10_final.stac-item
2023-02-10 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2023-02-10_final.stac-item
2023-02-10 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-10_final.stac-item
2023-02-10 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2023-02-10_final.stac-item
2023-02-10 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2023-02-10_final.stac-item
2023-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-02-10_final.stac-item
2023-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-10_final.stac-item
2023-02-10 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2023-02-10_final.stac-item
2023-02-10 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2023-02-10_final.stac-item
2023-02-10 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-02-10_final.stac-item
2023-02-10 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-02-10_final.stac-item
2023-02-10 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2023-02-10_final.stac-item
2023-02-10 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-02-10_final.stac-item
2023-02-20 11:50:23	ga_s2bm_ard_3-2-1_51LVJ_2023-02-20_nrt.stac-item
2023-02-20 11:50:32	ga_s2bm_ard_3-2-1_51LTJ_2023-02-20_nrt.stac-item
2023-02-20 11:50:37	ga_s2bm_ard_3-2-1_50LQP_2023-02-20_nrt.stac-item
2023-02-20 11:50:47	ga_s2bm_ard_3-2-1_51LTH_2023-02-20_nrt.stac-item
2023-02-20 11:50:48	ga_s2bm_ard_3-2-1_50LRN_2023-02-20_nrt.stac-item
2023-02-20 11:50:52	ga_s2bm_ard_3-2-1_50LQN_2023-02-20_nrt.stac-item
2023-02-20 11:51:01	ga_s2bm_ard_3-2-1_51LTG_2023-02-20_nrt.stac-item
2023-02-20 11:51:03	ga_s2bm_ard_3-2-1_50LRM_2023-02-20_nrt.stac-item
2023-02-20 11:51:13	ga_s2bm_ard_3-2-1_51LTF_2023-02-20_nrt.stac-item
2023-02-20 11:51:13	ga_s2bm_ard_3-2-1_50LRL_2023-02-20_nrt.stac-item
2023-02-20 11:51:20	ga_s2bm_ard_3-2-1_50LRL_2023-02-20_nrt.stac-item
2023-02-20 11:51:30	ga_s2bm_ard_3-2-1_51LTE_2023-02-20_nrt.stac-item
2023-02-20 11:51:32	ga_s2bm_ard_3-2-1_50LRK_2023-02-20_nrt.stac-item
2023-02-20 11:52:01	ga_s2bm_ard_3-2-1_50LRH_2023-02-20_nrt.stac-item
2023-02-20 11:52:15	ga_s2bm_ard_3-2-1_50KRG_2023-02-20_nrt.stac-item
2023-02-20 11:52:42	ga_s2bm_ard_3-2-1_51KTV_2023-02-20_nrt.stac-item
2023-02-20 11:52:44	ga_s2bm_ard_3-2-1_50KRE_2023-02-20_nrt.stac-item
2023-02-20 11:56:42	ga_s2bm_ard_3-2-1_50HKK_2023-02-20_nrt.stac-item
2023-02-20 11:56:59	ga_s2bm_ard_3-2-1_49HGD_2023-02-20_nrt.stac-item
2023-02-20 11:57:24	ga_s2bm_ard_3-2-1_50HKG_2023-02-20_nrt.stac-item
2023-02-20 11:57:24	ga_s2bm_ard_3-2-1_49HGB_2023-02-20_nrt.stac-item
2023-02-20 11:57:27	ga_s2bm_ard_3-2-1_49HFB_2023-02-20_nrt.stac-item
2023-02-20 11:57:29	ga_s2bm_ard_3-2-1_50HLF_2023-02-20_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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