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
2023-02-22 10:56:25	ga_s2bm_ard_3-2-1_52HEJ_2023-02-22_nrt.stac-item
2023-03-04 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2023-03-04_final.stac-item
2023-03-04 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-03-04_final.stac-item
2023-03-05 10:24:22	ga_s2bm_ard_3-2-1_54JVR_2023-03-05_final.stac-item
2023-03-06 09:54:53	ga_s2bm_ard_3-2-1_55JFH_2023-03-06_final.stac-item
2023-03-06 09:55:56	ga_s2bm_ard_3-2-1_55HBE_2023-03-06_final.stac-item
2023-03-07 09:26:59	ga_s2bm_ard_3-2-1_56HLE_2023-03-06_nrt.stac-item
2023-03-07 09:27:02	ga_s2bm_ard_3-2-1_56HKE_2023-03-06_nrt.stac-item
2023-03-07 11:05:01	ga_s2bm_ard_3-2-1_52JFQ_2023-03-07_final.stac-item
2023-03-07 11:05:26	ga_s2bm_ard_3-2-1_52JCP_2023-03-07_final.stac-item
2023-03-09 11:44:47	ga_s2bm_ard_3-2-1_50JPS_2023-03-09_final.stac-item
2023-03-09 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-03-09_final.stac-item
2023-03-10 11:11:39	ga_s2bm_ard_3-2-1_52LGJ_2023-03-10_final.stac-item
2023-03-10 11:11:41	ga_s2bm_ard_3-2-1_52LFH_2023-03-10_final.stac-item
2023-03-10 11:14:11	ga_s2bm_ard_3-2-1_52JET_2023-03-10_final.stac-item
2023-03-10 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2023-03-10_final.stac-item
2023-03-10 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2023-03-10_final.stac-item
2023-03-10 11:15:52	ga_s2bm_ard_3-2-1_52JCM_2023-03-10_final.stac-item
2023-03-10 11:15:55	ga_s2bm_ard_3-2-1_52JBM_2023-03-10_final.stac-item
2023-03-10 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2023-03-10_final.stac-item
2023-03-11 10:43:16	ga_s2bm_ard_3-2-1_53KMS_2023-03-11_final.stac-item
2023-03-11 10:43:45	ga_s2bm_ard_3-2-1_53KMQ_2023-03-11_final.stac-item
2023-03-12 10:16:04	ga_s2bm_ard_3-2-1_54HXJ_2023-03-12_final.stac-item
2023-03-12 11:54:15	ga_s2bm_ard_3-2-1_50KMV_2023-03-12_final.stac-item
2023-03-12 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2023-03-12_final.stac-item
2023-03-12 11:54:30	ga_s2bm_ard_3-2-1_50KMU_2023-03-12_final.stac-item
2023-03-12 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-03-12_final.stac-item
2023-03-13 11:21:43	ga_s2bm_ard_3-2-1_52LBJ_2023-03-13_final.stac-item
2023-03-13 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-03-13_final.stac-item
2023-03-13 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2023-03-13_final.stac-item
2023-03-13 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2023-03-13_final.stac-item
2023-03-14 10:53:11	ga_s2bm_ard_3-2-1_53KMS_2023-03-14_final.stac-item
2023-03-14 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2023-03-14_final.stac-item
2023-03-15 10:22:43	ga_s2bm_ard_3-2-1_54KXC_2023-03-15_final.stac-item
2023-03-15 10:23:44	ga_s2bm_ard_3-2-1_53KRQ_2023-03-15_final.stac-item
2023-03-15 10:24:13	ga_s2bm_ard_3-2-1_54JWS_2023-03-15_final.stac-item
2023-03-15 10:24:26	ga_s2bm_ard_3-2-1_54JWR_2023-03-15_final.stac-item
2023-03-15 12:04:11	ga_s2bm_ard_3-2-1_50KMV_2023-03-15_final.stac-item
2023-03-15 12:04:14	ga_s2bm_ard_3-2-1_50KLV_2023-03-15_final.stac-item
2023-03-15 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2023-03-15_final.stac-item
2023-03-15 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-03-15_final.stac-item
2023-03-15 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final.stac-item
2023-03-15 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-03-15_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_50KKU_2023-03-15_final.stac-item
2023-03-15 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-03-15_final.stac-item
2023-03-15 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-03-15_final.stac-item
2023-03-16 09:54:02	ga_s2bm_ard_3-2-1_55JCN_2023-03-16_final.stac-item
2023-03-16 09:54:17	ga_s2bm_ard_3-2-1_55JFL_2023-03-16_final.stac-item
2023-03-16 09:54:27	ga_s2bm_ard_3-2-1_55JCL_2023-03-16_final.stac-item
2023-03-16 09:54:44	ga_s2bm_ard_3-2-1_55JFJ_2023-03-16_final.stac-item
2023-03-16 09:54:54	ga_s2bm_ard_3-2-1_55JFH_2023-03-16_final.stac-item
2023-03-16 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-03-16_final.stac-item
2023-03-16 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-03-16_final.stac-item
2023-03-16 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-03-16_final.stac-item
2023-03-16 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-03-16_final.stac-item
2023-03-17 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2023-03-17_final.stac-item
2023-03-17 11:02:48	ga_s2bm_ard_3-2-1_52KGD_2023-03-17_final.stac-item
2023-03-17 11:03:13	ga_s2bm_ard_3-2-1_52KHB_2023-03-17_final.stac-item
2023-03-17 11:03:26	ga_s2bm_ard_3-2-1_52KHA_2023-03-17_final.stac-item
2023-03-17 11:03:37	ga_s2bm_ard_3-2-1_52KHV_2023-03-17_final.stac-item
2023-03-17 11:04:00	ga_s2bm_ard_3-2-1_52KGU_2023-03-17_final.stac-item
2023-03-17 11:04:28	ga_s2bm_ard_3-2-1_52JGS_2023-03-17_final.stac-item
2023-03-17 11:05:05	ga_s2bm_ard_3-2-1_52JEQ_2023-03-17_final.stac-item
2023-03-17 11:05:16	ga_s2bm_ard_3-2-1_52JFP_2023-03-17_final.stac-item
2023-03-17 11:05:42	ga_s2bm_ard_3-2-1_52JFM_2023-03-17_final.stac-item
2023-03-17 11:06:02	ga_s2bm_ard_3-2-1_52JBM_2023-03-17_final.stac-item
2023-03-26 09:52:58	ga_s2bm_ard_3-2-1_55KDS_2023-03-26_final.stac-item
2023-03-26 09:53:10	ga_s2bm_ard_3-2-1_55KDR_2023-03-26_final.stac-item
2023-03-26 09:53:24	ga_s2bm_ard_3-2-1_55KDQ_2023-03-26_final.stac-item
2023-03-26 09:54:05	ga_s2bm_ard_3-2-1_55JEM_2023-03-26_final.stac-item
2023-03-26 09:54:53	ga_s2bm_ard_3-2-1_55JFH_2023-03-26_final.stac-item
2023-03-26 09:55:04	ga_s2bm_ard_3-2-1_55JCJ_2023-03-26_final.stac-item
2023-03-26 11:37:36	ga_s2bm_ard_3-2-1_51HUV_2023-03-26_nrt.stac-item
2023-03-28 10:31:14	ga_s2bm_ard_3-2-1_54LVJ_2023-03-28_final.stac-item
2023-03-28 10:31:25	ga_s2bm_ard_3-2-1_54LWH_2023-03-28_final.stac-item
2023-03-28 10:31:31	ga_s2bm_ard_3-2-1_54LVH_2023-03-28_final.stac-item
2023-03-28 10:31:45	ga_s2bm_ard_3-2-1_54KVG_2023-03-28_final.stac-item
2023-03-28 10:32:48	ga_s2bm_ard_3-2-1_53KQT_2023-03-28_final.stac-item
2023-03-28 10:32:53	ga_s2bm_ard_3-2-1_54KTC_2023-03-28_final.stac-item
2023-03-28 10:33:15	ga_s2bm_ard_3-2-1_53KPS_2023-03-28_final.stac-item
2023-03-29 09:59:51	ga_s2bm_ard_3-2-1_55LHH_2023-03-29_nrt.stac-item
2023-03-29 10:02:58	ga_s2bm_ard_3-2-1_55KBS_2023-03-29_final.stac-item
2023-03-29 10:03:12	ga_s2bm_ard_3-2-1_54KZA_2023-03-29_final.stac-item
2023-03-29 10:06:59	ga_s2bm_ard_3-2-1_55HBV_2023-03-29_final.stac-item
2023-03-30 09:34:53	ga_s2bm_ard_3-2-1_55JGJ_2023-03-30_final.stac-item
2023-03-31 10:41:04	ga_s2bm_ard_3-2-1_54LTK_2023-03-31_nrt.stac-item
2023-03-31 10:41:05	ga_s2bm_ard_3-2-1_53LRE_2023-03-31_nrt.stac-item
2023-03-31 10:41:23	ga_s2bm_ard_3-2-1_53LQD_2023-03-31_final.stac-item
2023-03-31 10:42:50	ga_s2bm_ard_3-2-1_53KQT_2023-03-31_final.stac-item
2023-03-31 10:42:52	ga_s2bm_ard_3-2-1_53KPT_2023-03-31_final.stac-item
2023-03-31 10:42:58	ga_s2bm_ard_3-2-1_53KQT_2023-03-31_final.stac-item
2023-03-31 10:42:59	ga_s2bm_ard_3-2-1_53KPS_2023-03-31_final.stac-item
2023-03-31 10:43:02	ga_s2bm_ard_3-2-1_53KMT_2023-03-31_final.stac-item
2023-04-01 10:12:20	ga_s2bm_ard_3-2-1_55KCU_2023-04-01_final.stac-item
2023-04-01 10:15:01	ga_s2bm_ard_3-2-1_54JYN_2023-04-01_final.stac-item
2023-04-02 09:45:29	ga_s2bm_ard_3-2-1_55JDG_2023-04-02_final.stac-item
2023-04-02 09:47:22	ga_s2bm_ard_3-2-1_55HET_2023-04-02_final.stac-item
2023-04-11 11:50:35	ga_s2bm_ard_3-2-1_51LVH_2023-04-11_nrt.stac-item
2023-05-23 10:56:29	ga_s2bm_ard_3-2-1_52HEJ_2023-05-23_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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