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
2023-08-03 09:51:23	ga_s2bm_ard_3-2-1_55LFC_2023-08-03_final.stac-item
2023-08-03 09:51:30	ga_s2bm_ard_3-2-1_56KKG_2023-08-03_final.stac-item
2023-08-03 09:51:31	ga_s2bm_ard_3-2-1_55KHB_2023-08-03_final.stac-item
2023-08-03 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2023-08-03_final.stac-item
2023-08-03 09:51:52	ga_s2bm_ard_3-2-1_55KFA_2023-08-03_final.stac-item
2023-08-03 09:52:10	ga_s2bm_ard_3-2-1_55KEV_2023-08-03_final.stac-item
2023-08-03 09:52:22	ga_s2bm_ard_3-2-1_55KFU_2023-08-03_final.stac-item
2023-08-03 09:53:41	ga_s2bm_ard_3-2-1_55KDP_2023-08-03_final.stac-item
2023-08-03 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2023-08-03_final.stac-item
2023-08-03 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-08-03_final.stac-item
2023-08-03 09:56:39	ga_s2bm_ard_3-2-1_55HCB_2023-08-03_final.stac-item
2023-08-03 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2023-08-03_final.stac-item
2023-08-03 09:57:27	ga_s2bm_ard_3-2-1_54HYD_2023-08-03_final.stac-item
2023-08-03 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2023-08-03_final.stac-item
2023-08-03 09:57:37	ga_s2bm_ard_3-2-1_55HCT_2023-08-03_final.stac-item
2023-08-03 09:58:10	ga_s2bm_ard_3-2-1_54GYA_2023-08-03_final.stac-item
2023-08-03 11:31:25	ga_s2bm_ard_3-2-1_51LZE_2023-08-03_final.stac-item
2023-08-03 11:31:53	ga_s2bm_ard_3-2-1_51LZC_2023-08-03_final.stac-item
2023-08-03 11:32:01	ga_s2bm_ard_3-2-1_51LXC_2023-08-03_final.stac-item
2023-08-03 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2023-08-03_final.stac-item
2023-08-03 11:32:12	ga_s2bm_ard_3-2-1_51KYB_2023-08-03_final.stac-item
2023-08-03 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2023-08-03_final.stac-item
2023-08-03 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-08-03_final.stac-item
2023-08-03 11:32:41	ga_s2bm_ard_3-2-1_51KYV_2023-08-03_final.stac-item
2023-08-03 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-08-03_final.stac-item
2023-08-03 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-03_final.stac-item
2023-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-08-03_final.stac-item
2023-08-03 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2023-08-03_final.stac-item
2023-08-03 11:34:44	ga_s2bm_ard_3-2-1_51JWM_2023-08-03_final.stac-item
2023-08-03 11:35:09	ga_s2bm_ard_3-2-1_51JTL_2023-08-03_final.stac-item
2023-08-03 11:35:12	ga_s2bm_ard_3-2-1_51JWK_2023-08-03_final.stac-item
2023-08-03 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-08-03_final.stac-item
2023-08-03 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2023-08-03_final.stac-item
2023-08-03 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-08-03_final.stac-item
2023-08-03 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-08-03_final.stac-item
2023-08-03 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-08-03_final.stac-item
2023-08-04 09:24:14	ga_s2bm_ard_3-2-1_56JNR_2023-08-03_final.stac-item
2023-08-04 09:24:46	ga_s2bm_ard_3-2-1_56JMP_2023-08-03_final.stac-item
2023-08-04 09:25:00	ga_s2bm_ard_3-2-1_56JMN_2023-08-03_final.stac-item
2023-08-04 09:25:44	ga_s2bm_ard_3-2-1_56HMK_2023-08-03_final.stac-item
2023-08-04 09:27:54	ga_s2bm_ard_3-2-1_55HFS_2023-08-03_final.stac-item
2023-08-04 09:28:06	ga_s2bm_ard_3-2-1_55GFR_2023-08-03_final.stac-item
2023-08-04 09:28:53	ga_s2bm_ard_3-2-1_55GEN_2023-08-03_final.stac-item
2023-08-04 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2023-08-03_final.stac-item
2023-08-13 09:51:50	ga_s2bm_ard_3-2-1_55KGA_2023-08-13_nrt.stac-item
2023-08-13 09:58:04	ga_s2bm_ard_3-2-1_54HWB_2023-08-13_nrt.stac-item
2023-08-13 11:30:19	ga_s2bm_ard_3-2-1_52LCP_2023-08-13_nrt.stac-item
2023-08-13 11:30:28	ga_s2bm_ard_3-2-1_51LZJ_2023-08-13_nrt.stac-item
2023-08-13 11:30:32	ga_s2bm_ard_3-2-1_51LYJ_2023-08-13_nrt.stac-item
2023-08-13 11:30:35	ga_s2bm_ard_3-2-1_51LXJ_2023-08-13_nrt.stac-item
2023-08-13 11:30:43	ga_s2bm_ard_3-2-1_51LZH_2023-08-13_nrt.stac-item
2023-08-13 11:30:46	ga_s2bm_ard_3-2-1_51LYH_2023-08-13_nrt.stac-item
2023-08-13 11:30:50	ga_s2bm_ard_3-2-1_51LXH_2023-08-13_nrt.stac-item
2023-08-13 11:30:56	ga_s2bm_ard_3-2-1_52LBM_2023-08-13_nrt.stac-item
2023-08-13 11:30:57	ga_s2bm_ard_3-2-1_51LZG_2023-08-13_nrt.stac-item
2023-08-13 11:31:01	ga_s2bm_ard_3-2-1_51LYG_2023-08-13_nrt.stac-item
2023-08-13 11:31:04	ga_s2bm_ard_3-2-1_51LXG_2023-08-13_nrt.stac-item
2023-08-13 11:31:10	ga_s2bm_ard_3-2-1_52LBL_2023-08-13_nrt.stac-item
2023-08-13 11:31:12	ga_s2bm_ard_3-2-1_51LZF_2023-08-13_nrt.stac-item
2023-08-13 11:31:15	ga_s2bm_ard_3-2-1_51LYF_2023-08-13_nrt.stac-item
2023-08-13 11:31:19	ga_s2bm_ard_3-2-1_51LXF_2023-08-13_nrt.stac-item
2023-08-13 11:31:33	ga_s2bm_ard_3-2-1_51LXE_2023-08-13_nrt.stac-item
2023-08-13 11:31:51	ga_s2bm_ard_3-2-1_51LWD_2023-08-13_nrt.stac-item
2023-08-13 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-08-13_nrt.stac-item
2023-08-13 11:37:34	ga_s2bm_ard_3-2-1_50HQF_2023-08-13_nrt.stac-item
2023-08-14 09:22:59	ga_s2bm_ard_3-2-1_56KPA_2023-08-13_nrt.stac-item
2023-08-14 09:23:32	ga_s2bm_ard_3-2-1_56KNU_2023-08-13_nrt.stac-item
2023-08-14 09:25:56	ga_s2bm_ard_3-2-1_56HNJ_2023-08-13_nrt.stac-item
2023-08-14 09:26:11	ga_s2bm_ard_3-2-1_56HNH_2023-08-13_nrt.stac-item
2023-08-14 09:26:25	ga_s2bm_ard_3-2-1_56HNG_2023-08-13_nrt.stac-item
2023-08-14 09:26:39	ga_s2bm_ard_3-2-1_56HNF_2023-08-13_nrt.stac-item
2023-08-14 09:26:54	ga_s2bm_ard_3-2-1_56HNE_2023-08-13_nrt.stac-item
2023-08-14 09:26:58	ga_s2bm_ard_3-2-1_56HME_2023-08-13_nrt.stac-item
2023-08-14 09:27:01	ga_s2bm_ard_3-2-1_56HLE_2023-08-13_nrt.stac-item
2023-08-14 09:27:08	ga_s2bm_ard_3-2-1_56HND_2023-08-13_nrt.stac-item
2023-08-14 09:27:12	ga_s2bm_ard_3-2-1_56HMD_2023-08-13_nrt.stac-item
2023-08-14 09:27:16	ga_s2bm_ard_3-2-1_56HLD_2023-08-13_nrt.stac-item
2023-08-14 09:27:20	ga_s2bm_ard_3-2-1_56HNC_2023-08-13_nrt.stac-item
2023-08-14 09:27:27	ga_s2bm_ard_3-2-1_56HMC_2023-08-13_nrt.stac-item
2023-08-14 09:27:30	ga_s2bm_ard_3-2-1_56HLC_2023-08-13_nrt.stac-item
2023-08-14 09:27:34	ga_s2bm_ard_3-2-1_56HKC_2023-08-13_nrt.stac-item
2023-08-14 09:27:34	ga_s2bm_ard_3-2-1_55HGT_2023-08-13_nrt.stac-item
2023-08-14 09:27:41	ga_s2bm_ard_3-2-1_56HMB_2023-08-13_nrt.stac-item
2023-08-14 09:27:45	ga_s2bm_ard_3-2-1_56HLB_2023-08-13_nrt.stac-item
2023-08-14 09:27:48	ga_s2bm_ard_3-2-1_56HKB_2023-08-13_nrt.stac-item
2023-08-14 09:27:49	ga_s2bm_ard_3-2-1_55HGS_2023-08-13_nrt.stac-item
2023-08-14 09:27:59	ga_s2bm_ard_3-2-1_56GLA_2023-08-13_nrt.stac-item
2023-08-14 09:28:10	ga_s2bm_ard_3-2-1_56GMV_2023-08-13_nrt.stac-item
2023-08-14 09:28:14	ga_s2bm_ard_3-2-1_56GLV_2023-08-13_nrt.stac-item
2023-08-14 09:28:17	ga_s2bm_ard_3-2-1_56GKV_2023-08-13_nrt.stac-item
2023-08-14 09:28:24	ga_s2bm_ard_3-2-1_56GMU_2023-08-13_nrt.stac-item
2023-08-14 09:28:28	ga_s2bm_ard_3-2-1_56GLU_2023-08-13_nrt.stac-item
2023-08-14 09:28:32	ga_s2bm_ard_3-2-1_55GGP_2023-08-13_nrt.stac-item
2023-08-14 09:28:34	ga_s2bm_ard_3-2-1_56GMT_2023-08-13_nrt.stac-item
2023-08-14 09:28:46	ga_s2bm_ard_3-2-1_55GGN_2023-08-13_nrt.stac-item
2023-08-14 09:29:00	ga_s2bm_ard_3-2-1_55GGM_2023-08-13_nrt.stac-item
2023-08-14 11:00:16	ga_s2bm_ard_3-2-1_53LLJ_2023-08-14_nrt.stac-item
2023-08-14 11:00:21	ga_s2bm_ard_3-2-1_52LHP_2023-08-14_nrt.stac-item
2023-08-14 11:06:20	ga_s2bm_ard_3-2-1_52HEK_2023-08-14_nrt.stac-item
2023-08-14 11:06:33	ga_s2bm_ard_3-2-1_52HEJ_2023-08-14_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

Other products

All years