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
2020-11-03 11:24:07	ga_s2bm_ard_3-2-1_52KBU_2020-11-03_final
2020-11-03 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-11-03_final
2020-11-03 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-11-03_final
2020-11-03 11:24:21	ga_s2bm_ard_3-2-1_52JBT_2020-11-03_final
2020-11-03 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2020-11-03_final
2020-11-03 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2020-11-03_final
2020-11-03 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2020-11-03_final
2020-11-03 11:24:35	ga_s2bm_ard_3-2-1_51JZM_2020-11-03_final
2020-11-03 11:24:35	ga_s2bm_ard_3-2-1_52JBS_2020-11-03_final
2020-11-03 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2020-11-03_final
2020-11-03 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2020-11-03_final
2020-11-03 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-11-03_final
2020-11-03 11:24:47	ga_s2bm_ard_3-2-1_51JWM_2020-11-03_final
2020-11-03 11:24:54	ga_s2bm_ard_3-2-1_51JYL_2020-11-03_final
2020-11-03 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-11-03_final
2020-11-03 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2020-11-03_final
2020-11-03 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2020-11-03_final
2020-11-03 11:25:23	ga_s2bm_ard_3-2-1_51JYJ_2020-11-03_final
2020-11-03 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2020-11-03_final
2020-11-03 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2020-11-03_final
2020-11-03 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2020-11-03_final
2020-11-03 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2020-11-03_final
2020-11-03 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2020-11-03_final
2020-11-03 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2020-11-03_final
2020-11-03 11:26:32	ga_s2bm_ard_3-2-1_51HVE_2020-11-03_final
2020-11-03 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2020-11-03_final
2020-11-03 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-11-03_final
2020-11-03 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2020-11-03_final
2020-11-03 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2020-11-03_final
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-11-03_final.stac-item
2020-11-03 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2020-11-03_final.stac-item
2020-11-03 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2020-11-03_final
2020-11-03 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2020-11-03_final
2020-11-03 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2020-11-03_final.stac-item
2020-11-03 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2020-11-03_final.stac-item
2020-11-04 10:50:30	ga_s2bm_ard_3-2-1_53LQG_2020-11-04_final.stac-item
2020-11-04 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2020-11-04_final
2020-11-04 10:50:41	ga_s2bm_ard_3-2-1_53LNG_2020-11-04_final
2020-11-04 10:50:44	ga_s2bm_ard_3-2-1_53LMG_2020-11-04_final
2020-11-04 10:50:50	ga_s2bm_ard_3-2-1_53LLG_2020-11-04_final
2020-11-04 10:50:58	ga_s2bm_ard_3-2-1_53LMF_2020-11-04_final
2020-11-04 10:51:02	ga_s2bm_ard_3-2-1_53LLF_2020-11-04_final
2020-11-04 10:51:06	ga_s2bm_ard_3-2-1_53LPE_2020-11-04_final
2020-11-04 10:51:10	ga_s2bm_ard_3-2-1_53LNE_2020-11-04_final
2020-11-04 10:51:13	ga_s2bm_ard_3-2-1_53LME_2020-11-04_final
2020-11-04 10:51:16	ga_s2bm_ard_3-2-1_53LLE_2020-11-04_final
2020-11-04 10:51:21	ga_s2bm_ard_3-2-1_53LPD_2020-11-04_final
2020-11-04 10:51:31	ga_s2bm_ard_3-2-1_53LLD_2020-11-04_final
2020-11-04 10:51:44	ga_s2bm_ard_3-2-1_53KPB_2020-11-04_final
2020-11-04 10:51:53	ga_s2bm_ard_3-2-1_53KNB_2020-11-04_final
2020-11-04 10:51:57	ga_s2bm_ard_3-2-1_53KMB_2020-11-04_final
2020-11-04 10:52:00	ga_s2bm_ard_3-2-1_53KLB_2020-11-04_final
2020-11-04 10:52:04	ga_s2bm_ard_3-2-1_53KKB_2020-11-04_final
2020-11-04 10:52:08	ga_s2bm_ard_3-2-1_53KNA_2020-11-04_final
2020-11-04 10:52:11	ga_s2bm_ard_3-2-1_53KMA_2020-11-04_final
2020-11-04 10:52:14	ga_s2bm_ard_3-2-1_53KLA_2020-11-04_final
2020-11-04 10:52:17	ga_s2bm_ard_3-2-1_53KKA_2020-11-04_final
2020-11-04 10:52:22	ga_s2bm_ard_3-2-1_52KHF_2020-11-04_final
2020-11-04 10:52:40	ga_s2bm_ard_3-2-1_53KMU_2020-11-04_final
2020-11-04 10:52:43	ga_s2bm_ard_3-2-1_53KLU_2020-11-04_final
2020-11-04 10:52:47	ga_s2bm_ard_3-2-1_53KKU_2020-11-04_final
2020-11-04 10:53:01	ga_s2bm_ard_3-2-1_53KKT_2020-11-04_final
2020-11-04 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2020-11-04_final
2020-11-04 10:53:24	ga_s2bm_ard_3-2-1_53KMR_2020-11-04_final
2020-11-04 10:53:30	ga_s2bm_ard_3-2-1_53KKR_2020-11-04_final
2020-11-04 10:53:31	ga_s2bm_ard_3-2-1_52KHA_2020-11-04_final
2020-11-04 10:53:34	ga_s2bm_ard_3-2-1_52KGA_2020-11-04_final
2020-11-04 10:53:42	ga_s2bm_ard_3-2-1_53KLQ_2020-11-04_final
2020-11-04 10:53:45	ga_s2bm_ard_3-2-1_53KKQ_2020-11-04_final
2020-11-04 10:53:45	ga_s2bm_ard_3-2-1_52KHV_2020-11-04_final
2020-11-04 10:53:48	ga_s2bm_ard_3-2-1_52KGV_2020-11-04_final
2020-11-04 10:53:56	ga_s2bm_ard_3-2-1_53KLP_2020-11-04_final
2020-11-04 10:53:59	ga_s2bm_ard_3-2-1_53KKP_2020-11-04_final
2020-11-04 10:54:03	ga_s2bm_ard_3-2-1_52KGU_2020-11-04_final
2020-11-04 10:54:14	ga_s2bm_ard_3-2-1_53JKN_2020-11-04_final
2020-11-04 10:54:18	ga_s2bm_ard_3-2-1_52JGT_2020-11-04_final
2020-11-04 10:54:24	ga_s2bm_ard_3-2-1_52JFT_2020-11-04_final
2020-11-04 10:54:25	ga_s2bm_ard_3-2-1_53JLM_2020-11-04_final
2020-11-04 10:54:28	ga_s2bm_ard_3-2-1_52JHS_2020-11-04_final
2020-11-04 10:54:29	ga_s2bm_ard_3-2-1_53JKM_2020-11-04_final
2020-11-04 10:54:32	ga_s2bm_ard_3-2-1_52JGS_2020-11-04_final
2020-11-04 10:54:36	ga_s2bm_ard_3-2-1_52JFS_2020-11-04_final
2020-11-04 10:54:40	ga_s2bm_ard_3-2-1_53JLL_2020-11-04_final
2020-11-04 10:54:43	ga_s2bm_ard_3-2-1_53JKL_2020-11-04_final
2020-11-04 10:54:46	ga_s2bm_ard_3-2-1_52JGR_2020-11-04_final
2020-11-04 10:54:50	ga_s2bm_ard_3-2-1_52JFR_2020-11-04_final
2020-11-04 10:54:54	ga_s2bm_ard_3-2-1_53JLK_2020-11-04_final
2020-11-04 10:54:58	ga_s2bm_ard_3-2-1_53JKK_2020-11-04_final
2020-11-04 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2020-11-04_final
2020-11-04 10:55:05	ga_s2bm_ard_3-2-1_52JFQ_2020-11-04_final
2020-11-04 10:55:12	ga_s2bm_ard_3-2-1_53JKJ_2020-11-04_final
2020-11-04 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2020-11-04_final
2020-11-04 10:55:27	ga_s2bm_ard_3-2-1_53JKH_2020-11-04_final
2020-11-04 10:55:30	ga_s2bm_ard_3-2-1_52JGN_2020-11-04_final
2020-11-04 10:55:37	ga_s2bm_ard_3-2-1_52JEN_2020-11-04_final
2020-11-04 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2020-11-04_final
2020-11-04 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2020-11-04_final
2020-11-04 10:55:59	ga_s2bm_ard_3-2-1_52JGL_2020-11-04_final
2020-11-04 10:56:10	ga_s2bm_ard_3-2-1_53HKE_2020-11-04_final.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