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

76 results

Time (local)	Label
2023-12-11 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2023-12-11_final.stac-item
2023-12-11 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2023-12-11_final.stac-item
2023-12-12 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2023-12-11_final.stac-item
2023-12-13 10:30:28	ga_s2bm_ard_3-2-1_54LVM_2023-12-13_final.stac-item
2023-12-13 10:30:57	ga_s2bm_ard_3-2-1_54LVK_2023-12-13_final.stac-item
2023-12-13 10:31:07	ga_s2bm_ard_3-2-1_54LWJ_2023-12-13_final.stac-item
2023-12-13 10:31:40	ga_s2bm_ard_3-2-1_54KVG_2023-12-13_final.stac-item
2023-12-13 10:32:16	ga_s2bm_ard_3-2-1_54KTE_2023-12-13_final.stac-item
2023-12-13 10:32:31	ga_s2bm_ard_3-2-1_53KRU_2023-12-13_final.stac-item
2023-12-13 10:32:45	ga_s2bm_ard_3-2-1_54KTC_2023-12-13_final.stac-item
2023-12-13 10:33:42	ga_s2bm_ard_3-2-1_54KTU_2023-12-13_final.stac-item
2023-12-13 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2023-12-13_final.stac-item
2023-12-14 10:01:27	ga_s2bm_ard_3-2-1_55KFB_2023-12-14_final.stac-item
2023-12-14 10:02:03	ga_s2bm_ard_3-2-1_55KFU_2023-12-14_final.stac-item
2023-12-14 10:02:50	ga_s2bm_ard_3-2-1_55KCS_2023-12-14_final.stac-item
2023-12-14 10:04:23	ga_s2bm_ard_3-2-1_54JYR_2023-12-14_final.stac-item
2023-12-14 10:05:21	ga_s2bm_ard_3-2-1_54JYM_2023-12-14_final.stac-item
2023-12-14 11:41:45	ga_s2bm_ard_3-2-1_51LUD_2023-12-14_final.stac-item
2023-12-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-12-14_final.stac-item
2023-12-14 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2023-12-14_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2023-12-24 11:40:29	ga_s2bm_ard_3-2-1_51LWJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:33	ga_s2bm_ard_3-2-1_51LVJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:36	ga_s2bm_ard_3-2-1_51LUJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:55	ga_s2bm_ard_3-2-1_51LXG_2023-12-24_nrt.stac-item
2023-12-24 11:41:13	ga_s2bm_ard_3-2-1_51LWF_2023-12-24_nrt.stac-item
2023-12-24 11:41:42	ga_s2bm_ard_3-2-1_51LWD_2023-12-24_nrt.stac-item
2023-12-24 11:42:36	ga_s2bm_ard_3-2-1_50KRF_2023-12-24_nrt.stac-item
2023-12-24 11:47:33	ga_s2bm_ard_3-2-1_50HNF_2023-12-24_nrt.stac-item
2023-12-25 09:29:42	ga_s2bm_ard_3-2-1_56LPP_2023-12-24_nrt.stac-item
2023-12-25 09:29:55	ga_s2bm_ard_3-2-1_56LPN_2023-12-24_nrt.stac-item
2023-12-25 09:30:06	ga_s2bm_ard_3-2-1_56LPM_2023-12-25_nrt.stac-item
2023-12-25 09:31:27	ga_s2bm_ard_3-2-1_56KPG_2023-12-25_nrt.stac-item
2023-12-25 09:31:29	ga_s2bm_ard_3-2-1_56KNG_2023-12-25_nrt.stac-item
2023-12-25 09:31:32	ga_s2bm_ard_3-2-1_56KPF_2023-12-25_nrt.stac-item
2023-12-25 09:31:33	ga_s2bm_ard_3-2-1_56KNF_2023-12-25_nrt.stac-item
2023-12-25 09:32:29	ga_s2bm_ard_3-2-1_56KNC_2023-12-25_nrt.stac-item
2023-12-25 09:32:31	ga_s2bm_ard_3-2-1_56KMC_2023-12-25_nrt.stac-item
2023-12-25 09:32:50	ga_s2bm_ard_3-2-1_56KPA_2023-12-25_nrt.stac-item
2023-12-25 09:33:04	ga_s2bm_ard_3-2-1_56KPV_2023-12-25_nrt.stac-item
2023-12-25 09:33:08	ga_s2bm_ard_3-2-1_56KNV_2023-12-25_nrt.stac-item
2023-12-25 09:33:11	ga_s2bm_ard_3-2-1_56KMV_2023-12-25_nrt.stac-item
2023-12-25 09:33:19	ga_s2bm_ard_3-2-1_56KPU_2023-12-25_nrt.stac-item
2023-12-25 09:33:22	ga_s2bm_ard_3-2-1_56KNU_2023-12-25_nrt.stac-item
2023-12-25 09:33:31	ga_s2bm_ard_3-2-1_56JPT_2023-12-25_nrt.stac-item
2023-12-25 09:33:41	ga_s2bm_ard_3-2-1_56JPS_2023-12-25_nrt.stac-item
2023-12-25 09:35:59	ga_s2bm_ard_3-2-1_56HMH_2023-12-25_nrt.stac-item
2023-12-25 09:36:38	ga_s2bm_ard_3-2-1_56HLF_2023-12-25_nrt.stac-item
2023-12-25 09:36:52	ga_s2bm_ard_3-2-1_56HLE_2023-12-25_nrt.stac-item
2023-12-25 09:36:56	ga_s2bm_ard_3-2-1_56HKE_2023-12-25_nrt.stac-item
2023-12-25 09:37:05	ga_s2bm_ard_3-2-1_56HLD_2023-12-25_nrt.stac-item
2023-12-25 09:37:11	ga_s2bm_ard_3-2-1_56HKD_2023-12-25_nrt.stac-item
2023-12-25 09:37:25	ga_s2bm_ard_3-2-1_56HKC_2023-12-25_nrt.stac-item
2023-12-25 09:37:26	ga_s2bm_ard_3-2-1_55HGT_2023-12-25_nrt.stac-item
2023-12-25 09:37:40	ga_s2bm_ard_3-2-1_56HKB_2023-12-25_nrt.stac-item
2023-12-25 09:37:40	ga_s2bm_ard_3-2-1_55HGS_2023-12-25_nrt.stac-item
2023-12-25 09:37:55	ga_s2bm_ard_3-2-1_56GKA_2023-12-25_nrt.stac-item
2023-12-25 09:37:55	ga_s2bm_ard_3-2-1_55GGR_2023-12-25_nrt.stac-item
2023-12-25 09:38:09	ga_s2bm_ard_3-2-1_56GKV_2023-12-25_nrt.stac-item
2023-12-25 09:38:09	ga_s2bm_ard_3-2-1_55GGQ_2023-12-25_nrt.stac-item
2023-12-25 09:38:20	ga_s2bm_ard_3-2-1_55GGP_2023-12-25_nrt.stac-item
2023-12-25 09:38:21	ga_s2bm_ard_3-2-1_56GKU_2023-12-25_nrt.stac-item
2023-12-25 09:38:57	ga_s2bm_ard_3-2-1_55GFM_2023-12-25_nrt.stac-item
2023-12-25 11:10:12	ga_s2bm_ard_3-2-1_52LHP_2023-12-25_nrt.stac-item
2023-12-25 11:10:16	ga_s2bm_ard_3-2-1_52LGP_2023-12-25_nrt.stac-item
2023-12-25 11:10:19	ga_s2bm_ard_3-2-1_52LFP_2023-12-25_nrt.stac-item
2023-12-25 11:10:22	ga_s2bm_ard_3-2-1_52LEP_2023-12-25_nrt.stac-item
2023-12-25 11:10:51	ga_s2bm_ard_3-2-1_52LEM_2023-12-25_nrt.stac-item
2023-12-25 11:10:58	ga_s2bm_ard_3-2-1_52LDM_2023-12-25_nrt.stac-item
2023-12-25 11:11:10	ga_s2bm_ard_3-2-1_52LDL_2023-12-25_nrt.stac-item
2023-12-25 11:11:23	ga_s2bm_ard_3-2-1_52LDK_2023-12-25_nrt.stac-item
2023-12-25 11:16:29	ga_s2bm_ard_3-2-1_52HCJ_2023-12-25_nrt.stac-item
2023-12-25 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-12-25_nrt.stac-item
2023-12-25 11:16:50	ga_s2bm_ard_3-2-1_52HBH_2023-12-25_nrt.stac-item
2023-12-25 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-12-25_nrt.stac-item
2023-12-25 11:17:04	ga_s2bm_ard_3-2-1_51HYB_2023-12-25_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

Other products

All years