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
2023-06-06 10:29:58	ga_s2bm_ard_3-2-1_54LXP_2023-06-06_final.stac-item
2023-06-06 10:30:16	ga_s2bm_ard_3-2-1_54LWN_2023-06-06_final.stac-item
2023-06-06 10:30:31	ga_s2bm_ard_3-2-1_54LWM_2023-06-06_final.stac-item
2023-06-06 10:30:34	ga_s2bm_ard_3-2-1_54LVM_2023-06-06_final.stac-item
2023-06-06 10:30:45	ga_s2bm_ard_3-2-1_54LWL_2023-06-06_final.stac-item
2023-06-06 10:31:14	ga_s2bm_ard_3-2-1_54LVJ_2023-06-06_final.stac-item
2023-06-06 10:31:16	ga_s2bm_ard_3-2-1_54LUJ_2023-06-06_final.stac-item
2023-06-06 10:31:21	ga_s2bm_ard_3-2-1_54LVJ_2023-06-06_final.stac-item
2023-06-06 10:31:22	ga_s2bm_ard_3-2-1_54LUJ_2023-06-06_final.stac-item
2023-06-06 10:31:32	ga_s2bm_ard_3-2-1_54LVH_2023-06-06_final.stac-item
2023-06-06 10:31:36	ga_s2bm_ard_3-2-1_54LUH_2023-06-06_final.stac-item
2023-06-06 10:31:36	ga_s2bm_ard_3-2-1_54KWG_2023-06-06_final.stac-item
2023-06-06 10:31:50	ga_s2bm_ard_3-2-1_54KUG_2023-06-06_final.stac-item
2023-06-06 10:32:01	ga_s2bm_ard_3-2-1_54KVF_2023-06-06_final.stac-item
2023-06-06 10:32:05	ga_s2bm_ard_3-2-1_54KUF_2023-06-06_final.stac-item
2023-06-06 10:32:08	ga_s2bm_ard_3-2-1_54KTF_2023-06-06_final.stac-item
2023-06-06 10:32:23	ga_s2bm_ard_3-2-1_54KTE_2023-06-06_final.stac-item
2023-06-06 10:32:23	ga_s2bm_ard_3-2-1_53KRV_2023-06-06_final.stac-item
2023-06-06 10:32:27	ga_s2bm_ard_3-2-1_53KQV_2023-06-06_final.stac-item
2023-06-06 10:32:38	ga_s2bm_ard_3-2-1_53KRU_2023-06-06_final.stac-item
2023-06-06 10:32:41	ga_s2bm_ard_3-2-1_53KQU_2023-06-06_final.stac-item
2023-06-06 10:32:56	ga_s2bm_ard_3-2-1_53KQT_2023-06-06_final.stac-item
2023-06-06 10:33:03	ga_s2bm_ard_3-2-1_54KUB_2023-06-06_final.stac-item
2023-06-06 10:33:10	ga_s2bm_ard_3-2-1_53KQS_2023-06-06_final.stac-item
2023-06-06 10:33:35	ga_s2bm_ard_3-2-1_54KTV_2023-06-06_final.stac-item
2023-06-06 10:33:36	ga_s2bm_ard_3-2-1_53KRQ_2023-06-06_final.stac-item
2023-06-06 10:33:42	ga_s2bm_ard_3-2-1_53KPQ_2023-06-06_final.stac-item
2023-06-06 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2023-06-06_final.stac-item
2023-06-06 10:34:04	ga_s2bm_ard_3-2-1_54JTT_2023-06-06_final.stac-item
2023-06-06 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-06-06_final.stac-item
2023-06-06 10:34:19	ga_s2bm_ard_3-2-1_54JTS_2023-06-06_final.stac-item
2023-06-06 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2023-06-06_final.stac-item
2023-06-06 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2023-06-06_final.stac-item
2023-06-06 10:34:44	ga_s2bm_ard_3-2-1_53JNL_2023-06-06_final.stac-item
2023-06-06 10:35:13	ga_s2bm_ard_3-2-1_54JTN_2023-06-06_final.stac-item
2023-06-06 10:35:19	ga_s2bm_ard_3-2-1_53JMJ_2023-06-06_final.stac-item
2023-06-06 10:35:35	ga_s2bm_ard_3-2-1_53JQG_2023-06-06_final.stac-item
2023-06-06 10:35:42	ga_s2bm_ard_3-2-1_53JNG_2023-06-06_final.stac-item
2023-06-06 10:35:53	ga_s2bm_ard_3-2-1_53JPF_2023-06-06_final.stac-item
2023-06-06 10:35:57	ga_s2bm_ard_3-2-1_53JNF_2023-06-06_final.stac-item
2023-06-06 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-06-06_final.stac-item
2023-06-06 10:36:21	ga_s2bm_ard_3-2-1_53HLE_2023-06-06_final.stac-item
2023-06-06 10:36:29	ga_s2bm_ard_3-2-1_53HMD_2023-06-06_final.stac-item
2023-06-06 10:36:58	ga_s2bm_ard_3-2-1_53HMB_2023-06-06_final.stac-item
2023-06-06 10:37:03	ga_s2bm_ard_3-2-1_53HPA_2023-06-06_final.stac-item
2023-06-06 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2023-06-06_final.stac-item
2023-06-06 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-06-06_final.stac-item
2023-06-06 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-06_final.stac-item
2023-06-06 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-06-06_final.stac-item
2023-06-06 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-06_final.stac-item
2023-06-06 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-06_final.stac-item
2023-06-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-06_final.stac-item
2023-06-07 10:02:59	ga_s2bm_ard_3-2-1_54KZB_2023-06-07_final.stac-item
2023-06-07 10:03:14	ga_s2bm_ard_3-2-1_54KZA_2023-06-07_final.stac-item
2023-06-07 10:03:36	ga_s2bm_ard_3-2-1_54KYV_2023-06-07_final.stac-item
2023-06-07 10:03:47	ga_s2bm_ard_3-2-1_54KYU_2023-06-07_final.stac-item
2023-06-07 10:04:23	ga_s2bm_ard_3-2-1_55JCL_2023-06-07_final.stac-item
2023-06-07 10:05:10	ga_s2bm_ard_3-2-1_55JBH_2023-06-07_final.stac-item
2023-06-07 10:05:34	ga_s2bm_ard_3-2-1_54JYM_2023-06-07_final.stac-item
2023-06-07 10:05:38	ga_s2bm_ard_3-2-1_54JWM_2023-06-07_final.stac-item
2023-06-07 10:06:51	ga_s2bm_ard_3-2-1_54HVG_2023-06-07_final.stac-item
2023-06-07 10:07:02	ga_s2bm_ard_3-2-1_54HWF_2023-06-07_final.stac-item
2023-06-07 10:07:05	ga_s2bm_ard_3-2-1_54HVF_2023-06-07_final.stac-item
2023-06-07 10:07:39	ga_s2bm_ard_3-2-1_54HUD_2023-06-07_final.stac-item
2023-06-07 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2023-06-07_final.stac-item
2023-06-07 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-06-07_final.stac-item
2023-06-07 11:42:36	ga_s2bm_ard_3-2-1_51KUA_2023-06-07_final.stac-item
2023-06-07 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-06-07_final.stac-item
2023-06-07 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-06-07_final.stac-item
2023-06-07 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-06-07_final.stac-item
2023-06-07 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-06-07_final.stac-item
2023-06-07 11:44:15	ga_s2bm_ard_3-2-1_50KPV_2023-06-07_final.stac-item
2023-06-07 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-06-07_final.stac-item
2023-06-07 11:44:28	ga_s2bm_ard_3-2-1_50KPU_2023-06-07_final.stac-item
2023-06-07 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-06-07_final.stac-item
2023-06-07 11:44:45	ga_s2bm_ard_3-2-1_51JUM_2023-06-07_final.stac-item
2023-06-07 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2023-06-07_final.stac-item
2023-06-07 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2023-06-07_final.stac-item
2023-06-07 11:44:57	ga_s2bm_ard_3-2-1_50JPS_2023-06-07_final.stac-item
2023-06-07 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-07_final.stac-item
2023-06-07 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2023-06-07_final.stac-item
2023-06-07 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-06-07_final.stac-item
2023-06-07 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-06-07_final.stac-item
2023-06-07 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-07_final.stac-item
2023-06-07 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-07_final.stac-item
2023-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-07_final.stac-item
2023-06-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-07_final.stac-item
2023-06-07 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-06-07_final.stac-item
2023-06-16 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-06-16_nrt.stac-item
2023-06-16 12:10:33	ga_s2bm_ard_3-2-1_50LMP_2023-06-16_nrt.stac-item
2023-06-16 12:13:28	ga_s2bm_ard_3-2-1_49KGU_2023-06-16_nrt.stac-item
2023-06-16 12:13:33	ga_s2bm_ard_3-2-1_50KKC_2023-06-16_nrt.stac-item
2023-06-16 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-06-16_nrt.stac-item
2023-06-16 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-06-16_nrt.stac-item
2023-06-16 12:13:49	ga_s2bm_ard_3-2-1_49KGS_2023-06-16_nrt.stac-item
2023-06-17 09:59:43	ga_s2bm_ard_3-2-1_55LHJ_2023-06-17_nrt.stac-item
2023-06-17 09:59:53	ga_s2bm_ard_3-2-1_55LHH_2023-06-17_nrt.stac-item
2023-06-17 10:01:51	ga_s2bm_ard_3-2-1_55KEA_2023-06-17_nrt.stac-item
2023-06-17 10:07:50	ga_s2bm_ard_3-2-1_54HUC_2023-06-17_nrt.stac-item
2023-06-17 10:07:52	ga_s2bm_ard_3-2-1_54HXB_2023-06-17_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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