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
2023-08-09 11:53:45	ga_s2bm_ard_3-2-1_50KQB_2023-08-09_final.stac-item
2023-08-09 11:53:48	ga_s2bm_ard_3-2-1_50KNB_2023-08-09_final.stac-item
2023-08-09 11:53:52	ga_s2bm_ard_3-2-1_50KQA_2023-08-09_final.stac-item
2023-08-09 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2023-08-09_final.stac-item
2023-08-09 11:54:13	ga_s2bm_ard_3-2-1_50KNV_2023-08-09_final.stac-item
2023-08-09 11:54:28	ga_s2bm_ard_3-2-1_50KNU_2023-08-09_final.stac-item
2023-08-09 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2023-08-09_final.stac-item
2023-08-09 11:54:39	ga_s2bm_ard_3-2-1_50KLU_2023-08-09_final.stac-item
2023-08-09 11:54:50	ga_s2bm_ard_3-2-1_50JLT_2023-08-09_final.stac-item
2023-08-09 11:55:08	ga_s2bm_ard_3-2-1_50JPR_2023-08-09_final.stac-item
2023-08-09 11:55:11	ga_s2bm_ard_3-2-1_50JNR_2023-08-09_final.stac-item
2023-08-09 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2023-08-09_final.stac-item
2023-08-09 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-08-09_final.stac-item
2023-08-09 11:55:26	ga_s2bm_ard_3-2-1_50JNQ_2023-08-09_final.stac-item
2023-08-09 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2023-08-09_final.stac-item
2023-08-09 11:55:33	ga_s2bm_ard_3-2-1_50JLQ_2023-08-09_final.stac-item
2023-08-09 11:55:44	ga_s2bm_ard_3-2-1_50JMP_2023-08-09_final.stac-item
2023-08-09 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-08-09_final.stac-item
2023-08-09 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-08-09_final.stac-item
2023-08-09 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-08-09_final.stac-item
2023-08-09 11:56:10	ga_s2bm_ard_3-2-1_50JNM_2023-08-09_final.stac-item
2023-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-08-09_final.stac-item
2023-08-09 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-08-09_final.stac-item
2023-08-09 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2023-08-09_final.stac-item
2023-08-09 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-08-09_final.stac-item
2023-08-09 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-09_final.stac-item
2023-08-09 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-08-09_final.stac-item
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final.stac-item
2023-08-09 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2023-08-09_final.stac-item
2023-09-05 10:03:47	ga_s2bm_ard_3-2-1_54KYU_2023-09-05_final.stac-item
2023-09-05 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2023-09-05_final.stac-item
2023-09-05 10:04:37	ga_s2bm_ard_3-2-1_54JXR_2023-09-05_final.stac-item
2023-09-05 10:04:44	ga_s2bm_ard_3-2-1_54JYQ_2023-09-05_final.stac-item
2023-09-05 10:04:59	ga_s2bm_ard_3-2-1_54JYP_2023-09-05_final.stac-item
2023-09-05 10:05:17	ga_s2bm_ard_3-2-1_54JXN_2023-09-05_final.stac-item
2023-09-05 10:05:31	ga_s2bm_ard_3-2-1_54JXM_2023-09-05_final.stac-item
2023-09-05 10:05:37	ga_s2bm_ard_3-2-1_54JWM_2023-09-05_final.stac-item
2023-09-05 10:05:49	ga_s2bm_ard_3-2-1_54JWL_2023-09-05_final.stac-item
2023-09-05 10:06:03	ga_s2bm_ard_3-2-1_54HWK_2023-09-05_final.stac-item
2023-09-05 10:06:25	ga_s2bm_ard_3-2-1_54HYH_2023-09-05_final.stac-item
2023-09-05 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2023-09-05_final.stac-item
2023-09-05 10:06:43	ga_s2bm_ard_3-2-1_54HXG_2023-09-05_final.stac-item
2023-09-05 10:06:47	ga_s2bm_ard_3-2-1_54HWG_2023-09-05_final.stac-item
2023-09-05 10:06:58	ga_s2bm_ard_3-2-1_54HXF_2023-09-05_final.stac-item
2023-09-05 10:07:19	ga_s2bm_ard_3-2-1_54HYD_2023-09-05_final.stac-item
2023-09-05 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2023-09-05_final.stac-item
2023-09-05 10:07:34	ga_s2bm_ard_3-2-1_54HVD_2023-09-05_final.stac-item
2023-09-05 10:07:39	ga_s2bm_ard_3-2-1_54HUD_2023-09-05_final.stac-item
2023-09-05 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2023-09-05_final.stac-item
2023-09-05 10:07:45	ga_s2bm_ard_3-2-1_54HWC_2023-09-05_final.stac-item
2023-09-05 11:41:05	ga_s2bm_ard_3-2-1_51LVG_2023-09-05_final.stac-item
2023-09-05 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-09-05_final.stac-item
2023-09-05 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-09-05_final.stac-item
2023-09-05 11:42:36	ga_s2bm_ard_3-2-1_51KUA_2023-09-05_final.stac-item
2023-09-05 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-09-05_final.stac-item
2023-09-05 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-09-05_final.stac-item
2023-09-05 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-09-05_final.stac-item
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2023-09-05_final.stac-item
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final.stac-item
2023-09-05 11:43:12	ga_s2bm_ard_3-2-1_51KUU_2023-09-05_final.stac-item
2023-09-05 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2023-09-05_final.stac-item
2023-09-05 11:43:13	ga_s2bm_ard_3-2-1_51KTU_2023-09-05_final.stac-item
2023-09-05 11:43:14	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final.stac-item
2023-09-05 11:43:40	ga_s2bm_ard_3-2-1_51KVR_2023-09-05_final.stac-item
2023-09-05 11:43:41	ga_s2bm_ard_3-2-1_50KQB_2023-09-05_final.stac-item
2023-09-05 11:43:56	ga_s2bm_ard_3-2-1_50KQA_2023-09-05_final.stac-item
2023-09-05 11:44:21	ga_s2bm_ard_3-2-1_50KRU_2023-09-05_final.stac-item
2023-09-05 11:44:32	ga_s2bm_ard_3-2-1_51JUN_2023-09-05_final.stac-item
2023-09-05 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2023-09-05_final.stac-item
2023-09-05 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-09-05_final.stac-item
2023-09-05 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2023-09-05_final.stac-item
2023-09-05 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-09-05_final.stac-item
2023-09-05 11:45:08	ga_s2bm_ard_3-2-1_50JQR_2023-09-05_final.stac-item
2023-09-05 11:45:11	ga_s2bm_ard_3-2-1_50JPR_2023-09-05_final.stac-item
2023-09-05 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-09-05_final.stac-item
2023-09-05 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-09-05_final.stac-item
2023-09-05 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2023-09-05_final.stac-item
2023-09-05 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2023-09-05_final.stac-item
2023-09-05 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-09-05_final.stac-item
2023-09-05 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-09-05_final.stac-item
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final.stac-item
2023-09-05 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-09-05_final.stac-item
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final.stac-item
2023-09-05 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-09-05_final.stac-item
2023-09-05 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-09-05_final.stac-item
2023-09-05 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-09-05_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-09-05 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-09-05_final.stac-item
2023-09-14 12:13:26	ga_s2bm_ard_3-2-1_49KGU_2023-09-14_nrt.stac-item
2023-09-14 12:13:28	ga_s2bm_ard_3-2-1_49KFU_2023-09-14_nrt.stac-item
2023-09-14 12:13:31	ga_s2bm_ard_3-2-1_49KHT_2023-09-14_nrt.stac-item
2023-09-14 12:13:33	ga_s2bm_ard_3-2-1_49KGT_2023-09-14_nrt.stac-item
2023-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KFT_2023-09-14_nrt.stac-item
2023-09-14 12:13:47	ga_s2bm_ard_3-2-1_49KGS_2023-09-14_nrt.stac-item
2023-09-14 12:13:50	ga_s2bm_ard_3-2-1_49KFS_2023-09-14_nrt.stac-item
2023-09-14 12:14:05	ga_s2bm_ard_3-2-1_49KFR_2023-09-14_nrt.stac-item
2023-09-14 12:14:19	ga_s2bm_ard_3-2-1_49KFQ_2023-09-14_nrt.stac-item
2023-09-14 12:14:34	ga_s2bm_ard_3-2-1_49KFP_2023-09-14_nrt.stac-item
2023-09-14 12:15:17	ga_s2bm_ard_3-2-1_49JFL_2023-09-14_nrt.stac-item
2023-09-14 12:15:23	ga_s2bm_ard_3-2-1_49JFK_2023-09-14_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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