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

87 results

Time (local)	Label
2024-02-05 10:09:47	ga_s2bm_ard_3-2-1_55LDJ_2024-02-05_nrt.stac-item
2024-02-05 10:17:32	ga_s2bm_ard_3-2-1_53HQU_2024-02-05_nrt.stac-item
2024-02-05 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-02-05_nrt.stac-item
2024-02-05 11:50:22	ga_s2bm_ard_3-2-1_51LVJ_2024-02-05_nrt.stac-item
2024-02-05 11:50:28	ga_s2bm_ard_3-2-1_51LUJ_2024-02-05_nrt.stac-item
2024-02-05 11:50:32	ga_s2bm_ard_3-2-1_51LTJ_2024-02-05_nrt.stac-item
2024-02-05 11:50:32	ga_s2bm_ard_3-2-1_51LVH_2024-02-05_nrt.stac-item
2024-02-05 11:50:33	ga_s2bm_ard_3-2-1_50LRP_2024-02-05_nrt.stac-item
2024-02-05 11:50:36	ga_s2bm_ard_3-2-1_50LQP_2024-02-05_nrt.stac-item
2024-02-05 11:50:46	ga_s2bm_ard_3-2-1_51LTH_2024-02-05_nrt.stac-item
2024-02-05 11:50:48	ga_s2bm_ard_3-2-1_50LRN_2024-02-05_nrt.stac-item
2024-02-05 11:50:51	ga_s2bm_ard_3-2-1_50LQN_2024-02-05_nrt.stac-item
2024-02-05 11:50:57	ga_s2bm_ard_3-2-1_51LUG_2024-02-05_nrt.stac-item
2024-02-05 11:51:01	ga_s2bm_ard_3-2-1_51LTG_2024-02-05_nrt.stac-item
2024-02-05 11:51:02	ga_s2bm_ard_3-2-1_50LRM_2024-02-05_nrt.stac-item
2024-02-05 11:51:06	ga_s2bm_ard_3-2-1_50LQM_2024-02-05_nrt.stac-item
2024-02-05 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2024-02-05_nrt.stac-item
2024-02-05 11:51:17	ga_s2bm_ard_3-2-1_50LRL_2024-02-05_nrt.stac-item
2024-02-05 11:51:20	ga_s2bm_ard_3-2-1_50LQL_2024-02-05_nrt.stac-item
2024-02-05 11:51:25	ga_s2bm_ard_3-2-1_50LPL_2024-02-05_nrt.stac-item
2024-02-05 11:51:30	ga_s2bm_ard_3-2-1_51LTE_2024-02-05_nrt.stac-item
2024-02-05 11:51:31	ga_s2bm_ard_3-2-1_50LRK_2024-02-05_nrt.stac-item
2024-02-05 11:51:34	ga_s2bm_ard_3-2-1_50LQK_2024-02-05_nrt.stac-item
2024-02-05 11:51:44	ga_s2bm_ard_3-2-1_51LTD_2024-02-05_nrt.stac-item
2024-02-05 11:51:49	ga_s2bm_ard_3-2-1_50LQJ_2024-02-05_nrt.stac-item
2024-02-05 11:51:52	ga_s2bm_ard_3-2-1_50LPJ_2024-02-05_nrt.stac-item
2024-02-05 11:52:07	ga_s2bm_ard_3-2-1_50LPH_2024-02-05_nrt.stac-item
2024-02-05 11:52:13	ga_s2bm_ard_3-2-1_51KTB_2024-02-05_nrt.stac-item
2024-02-05 11:52:14	ga_s2bm_ard_3-2-1_50KRG_2024-02-05_nrt.stac-item
2024-02-05 11:52:28	ga_s2bm_ard_3-2-1_51KTA_2024-02-05_nrt.stac-item
2024-02-05 11:52:29	ga_s2bm_ard_3-2-1_50KRF_2024-02-05_nrt.stac-item
2024-02-05 11:52:39	ga_s2bm_ard_3-2-1_50KNF_2024-02-05_nrt.stac-item
2024-02-05 11:52:41	ga_s2bm_ard_3-2-1_51KTV_2024-02-05_nrt.stac-item
2024-02-05 11:52:43	ga_s2bm_ard_3-2-1_50KRE_2024-02-05_nrt.stac-item
2024-02-05 11:52:50	ga_s2bm_ard_3-2-1_50KPE_2024-02-05_nrt.stac-item
2024-02-05 11:52:53	ga_s2bm_ard_3-2-1_50KNE_2024-02-05_nrt.stac-item
2024-02-05 11:53:08	ga_s2bm_ard_3-2-1_50KND_2024-02-05_nrt.stac-item
2024-02-05 11:56:27	ga_s2bm_ard_3-2-1_50JKL_2024-02-05_nrt.stac-item
2024-02-05 11:56:32	ga_s2bm_ard_3-2-1_49JGF_2024-02-05_nrt.stac-item
2024-02-05 11:56:42	ga_s2bm_ard_3-2-1_50HKK_2024-02-05_nrt.stac-item
2024-02-05 11:56:44	ga_s2bm_ard_3-2-1_49HGE_2024-02-05_nrt.stac-item
2024-02-05 11:56:56	ga_s2bm_ard_3-2-1_50HKJ_2024-02-05_nrt.stac-item
2024-02-05 11:56:58	ga_s2bm_ard_3-2-1_49HGD_2024-02-05_nrt.stac-item
2024-02-05 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2024-02-05_nrt.stac-item
2024-02-05 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2024-02-05_nrt.stac-item
2024-02-05 11:57:21	ga_s2bm_ard_3-2-1_49HFC_2024-02-05_nrt.stac-item
2024-02-05 11:57:22	ga_s2bm_ard_3-2-1_50HKG_2024-02-05_nrt.stac-item
2024-02-05 11:57:23	ga_s2bm_ard_3-2-1_49HGB_2024-02-05_nrt.stac-item
2024-02-05 11:57:25	ga_s2bm_ard_3-2-1_49HFB_2024-02-05_nrt.stac-item
2024-02-05 11:57:25	ga_s2bm_ard_3-2-1_50HMF_2024-02-05_nrt.stac-item
2024-02-06 09:39:34	ga_s2bm_ard_3-2-1_56LPP_2024-02-06_nrt.stac-item
2024-02-06 09:39:37	ga_s2bm_ard_3-2-1_56LNP_2024-02-06_nrt.stac-item
2024-02-06 09:39:41	ga_s2bm_ard_3-2-1_56LMP_2024-02-06_nrt.stac-item
2024-02-06 09:39:48	ga_s2bm_ard_3-2-1_56LLP_2024-02-06_nrt.stac-item
2024-02-06 09:39:48	ga_s2bm_ard_3-2-1_56LPN_2024-02-06_nrt.stac-item
2024-02-06 09:39:52	ga_s2bm_ard_3-2-1_56LNN_2024-02-06_nrt.stac-item
2024-02-06 09:39:55	ga_s2bm_ard_3-2-1_56LMN_2024-02-06_nrt.stac-item
2024-02-06 09:39:59	ga_s2bm_ard_3-2-1_56LLN_2024-02-06_nrt.stac-item
2024-02-06 09:40:02	ga_s2bm_ard_3-2-1_56LPM_2024-02-06_nrt.stac-item
2024-02-06 09:40:04	ga_s2bm_ard_3-2-1_56LNM_2024-02-06_nrt.stac-item
2024-02-06 09:40:05	ga_s2bm_ard_3-2-1_56LMM_2024-02-06_nrt.stac-item
2024-02-06 09:40:07	ga_s2bm_ard_3-2-1_56LLM_2024-02-06_nrt.stac-item
2024-02-06 09:41:15	ga_s2bm_ard_3-2-1_56LMH_2024-02-06_nrt.stac-item
2024-02-06 09:41:16	ga_s2bm_ard_3-2-1_56LLH_2024-02-06_nrt.stac-item
2024-02-06 09:41:17	ga_s2bm_ard_3-2-1_56LKH_2024-02-06_nrt.stac-item
2024-02-06 09:41:20	ga_s2bm_ard_3-2-1_56KNG_2024-02-06_nrt.stac-item
2024-02-06 09:41:33	ga_s2bm_ard_3-2-1_56KNF_2024-02-06_nrt.stac-item
2024-02-06 09:41:44	ga_s2bm_ard_3-2-1_55KHA_2024-02-06_nrt.stac-item
2024-02-06 09:41:45	ga_s2bm_ard_3-2-1_56KNE_2024-02-06_nrt.stac-item
2024-02-06 09:41:58	ga_s2bm_ard_3-2-1_56KKE_2024-02-06_nrt.stac-item
2024-02-06 09:41:59	ga_s2bm_ard_3-2-1_55KHV_2024-02-06_nrt.stac-item
2024-02-06 09:42:12	ga_s2bm_ard_3-2-1_56KKD_2024-02-06_nrt.stac-item
2024-02-06 09:42:13	ga_s2bm_ard_3-2-1_55KHU_2024-02-06_nrt.stac-item
2024-02-06 09:42:21	ga_s2bm_ard_3-2-1_56KMC_2024-02-06_nrt.stac-item
2024-02-06 09:42:24	ga_s2bm_ard_3-2-1_56KLC_2024-02-06_nrt.stac-item
2024-02-06 09:42:27	ga_s2bm_ard_3-2-1_56KKC_2024-02-06_nrt.stac-item
2024-02-06 09:42:28	ga_s2bm_ard_3-2-1_55KHT_2024-02-06_nrt.stac-item
2024-02-06 09:43:00	ga_s2bm_ard_3-2-1_56KMV_2024-02-06_nrt.stac-item
2024-02-06 09:48:36	ga_s2bm_ard_3-2-1_54GYU_2024-02-06_nrt.stac-item
2024-02-06 09:48:37	ga_s2bm_ard_3-2-1_55GBP_2024-02-06_nrt.stac-item
2024-02-06 09:48:41	ga_s2bm_ard_3-2-1_54GXU_2024-02-06_nrt.stac-item
2024-02-06 09:48:51	ga_s2bm_ard_3-2-1_54GYT_2024-02-06_nrt.stac-item
2024-02-06 09:48:54	ga_s2bm_ard_3-2-1_54GXT_2024-02-06_nrt.stac-item
2024-02-06 09:48:59	ga_s2bm_ard_3-2-1_54GYS_2024-02-06_nrt.stac-item
2024-02-06 09:49:01	ga_s2bm_ard_3-2-1_54GXS_2024-02-06_nrt.stac-item
2024-02-06 11:20:25	ga_s2bm_ard_3-2-1_52LBP_2024-02-06_nrt.stac-item
2024-02-06 11:20:56	ga_s2bm_ard_3-2-1_51LZG_2024-02-06_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