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
2022-12-30 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2022-12-30_final.stac-item
2022-12-30 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2022-12-30_final.stac-item
2022-12-30 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2022-12-30_final.stac-item
2022-12-30 11:16:27	ga_s2bm_ard_3-2-1_52HCJ_2022-12-30_nrt.stac-item
2022-12-30 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2022-12-30_nrt.stac-item
2022-12-30 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-12-30_final.stac-item
2022-12-30 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-12-30_final.stac-item
2022-12-30 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2022-12-30_final.stac-item
2022-12-30 11:16:48	ga_s2bm_ard_3-2-1_52HBH_2022-12-30_nrt.stac-item
2022-12-30 11:16:50	ga_s2bm_ard_3-2-1_51HYC_2022-12-30_nrt.stac-item
2022-12-30 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2022-12-30_final.stac-item
2022-12-30 11:17:01	ga_s2bm_ard_3-2-1_52HBG_2022-12-30_nrt.stac-item
2022-12-30 11:17:02	ga_s2bm_ard_3-2-1_51HYB_2022-12-30_nrt.stac-item
2022-12-30 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2022-12-30_final.stac-item
2022-12-30 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-12-30_interim.stac-item
2022-12-30 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2022-12-30_final.stac-item
2022-12-31 10:39:58	ga_s2bm_ard_3-2-1_54LUP_2022-12-31_nrt.stac-item
2022-12-31 10:40:01	ga_s2bm_ard_3-2-1_54LTP_2022-12-31_nrt.stac-item
2022-12-31 10:40:03	ga_s2bm_ard_3-2-1_53LRJ_2022-12-31_nrt.stac-item
2022-12-31 10:40:06	ga_s2bm_ard_3-2-1_53LQJ_2022-12-31_nrt.stac-item
2022-12-31 10:40:12	ga_s2bm_ard_3-2-1_54LUN_2022-12-31_nrt.stac-item
2022-12-31 10:40:16	ga_s2bm_ard_3-2-1_54LTN_2022-12-31_nrt.stac-item
2022-12-31 10:40:17	ga_s2bm_ard_3-2-1_53LRH_2022-12-31_nrt.stac-item
2022-12-31 10:40:21	ga_s2bm_ard_3-2-1_53LQH_2022-12-31_nrt.stac-item
2022-12-31 10:40:26	ga_s2bm_ard_3-2-1_54LUM_2022-12-31_nrt.stac-item
2022-12-31 10:40:26	ga_s2bm_ard_3-2-1_53LPH_2022-12-31_final.stac-item
2022-12-31 10:40:30	ga_s2bm_ard_3-2-1_54LTM_2022-12-31_nrt.stac-item
2022-12-31 10:40:32	ga_s2bm_ard_3-2-1_53LRG_2022-12-31_nrt.stac-item
2022-12-31 10:40:35	ga_s2bm_ard_3-2-1_53LQG_2022-12-31_final.stac-item
2022-12-31 10:40:38	ga_s2bm_ard_3-2-1_54LUL_2022-12-31_nrt.stac-item
2022-12-31 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2022-12-31_final.stac-item
2022-12-31 10:40:45	ga_s2bm_ard_3-2-1_54LTL_2022-12-31_nrt.stac-item
2022-12-31 10:40:46	ga_s2bm_ard_3-2-1_53LRF_2022-12-31_nrt.stac-item
2022-12-31 10:40:50	ga_s2bm_ard_3-2-1_53LQF_2022-12-31_final.stac-item
2022-12-31 10:40:53	ga_s2bm_ard_3-2-1_53LPF_2022-12-31_final.stac-item
2022-12-31 10:40:59	ga_s2bm_ard_3-2-1_54LTK_2022-12-31_nrt.stac-item
2022-12-31 10:41:01	ga_s2bm_ard_3-2-1_53LRE_2022-12-31_nrt.stac-item
2022-12-31 10:41:04	ga_s2bm_ard_3-2-1_53LQE_2022-12-31_final.stac-item
2022-12-31 10:41:08	ga_s2bm_ard_3-2-1_53LPE_2022-12-31_final.stac-item
2022-12-31 10:41:14	ga_s2bm_ard_3-2-1_54LTJ_2022-12-31_nrt.stac-item
2022-12-31 10:41:15	ga_s2bm_ard_3-2-1_53LRD_2022-12-31_nrt.stac-item
2022-12-31 10:41:19	ga_s2bm_ard_3-2-1_53LQD_2022-12-31_final.stac-item
2022-12-31 10:41:22	ga_s2bm_ard_3-2-1_53LPD_2022-12-31_final.stac-item
2022-12-31 10:41:28	ga_s2bm_ard_3-2-1_54LTH_2022-12-31_nrt.stac-item
2022-12-31 10:41:29	ga_s2bm_ard_3-2-1_53LND_2022-12-31_final.stac-item
2022-12-31 10:41:29	ga_s2bm_ard_3-2-1_53LRC_2022-12-31_nrt.stac-item
2022-12-31 10:41:33	ga_s2bm_ard_3-2-1_53LQC_2022-12-31_final.stac-item
2022-12-31 10:41:37	ga_s2bm_ard_3-2-1_53LPC_2022-12-31_final.stac-item
2022-12-31 10:41:40	ga_s2bm_ard_3-2-1_53LNC_2022-12-31_final.stac-item
2022-12-31 10:41:42	ga_s2bm_ard_3-2-1_54KTG_2022-12-31_final.stac-item
2022-12-31 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2022-12-31_final.stac-item
2022-12-31 10:41:48	ga_s2bm_ard_3-2-1_53KQB_2022-12-31_final.stac-item
2022-12-31 10:41:51	ga_s2bm_ard_3-2-1_53KPB_2022-12-31_final.stac-item
2022-12-31 10:41:53	ga_s2bm_ard_3-2-1_54KTF_2022-12-31_final.stac-item
2022-12-31 10:41:54	ga_s2bm_ard_3-2-1_53KNB_2022-12-31_final.stac-item
2022-12-31 10:41:58	ga_s2bm_ard_3-2-1_53KRA_2022-12-31_final.stac-item
2022-12-31 10:42:02	ga_s2bm_ard_3-2-1_53KQA_2022-12-31_final.stac-item
2022-12-31 10:42:06	ga_s2bm_ard_3-2-1_53KPA_2022-12-31_final.stac-item
2022-12-31 10:42:09	ga_s2bm_ard_3-2-1_53KNA_2022-12-31_final.stac-item
2022-12-31 10:42:11	ga_s2bm_ard_3-2-1_53KRV_2022-12-31_final.stac-item
2022-12-31 10:42:17	ga_s2bm_ard_3-2-1_53KQV_2022-12-31_final.stac-item
2022-12-31 10:42:21	ga_s2bm_ard_3-2-1_53KRU_2022-12-31_final.stac-item
2022-12-31 10:42:24	ga_s2bm_ard_3-2-1_53KNV_2022-12-31_final.stac-item
2022-12-31 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2022-12-31_final.stac-item
2022-12-31 10:42:46	ga_s2bm_ard_3-2-1_53KQT_2022-12-31_final.stac-item
2022-12-31 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2022-12-31_final.stac-item
2022-12-31 10:43:04	ga_s2bm_ard_3-2-1_53KPS_2022-12-31_final.stac-item
2022-12-31 10:43:07	ga_s2bm_ard_3-2-1_53KNS_2022-12-31_final.stac-item
2022-12-31 10:43:10	ga_s2bm_ard_3-2-1_53KMS_2022-12-31_final.stac-item
2022-12-31 10:43:13	ga_s2bm_ard_3-2-1_53KQR_2022-12-31_final.stac-item
2022-12-31 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2022-12-31_final.stac-item
2022-12-31 10:43:22	ga_s2bm_ard_3-2-1_53KNR_2022-12-31_final.stac-item
2022-12-31 10:43:24	ga_s2bm_ard_3-2-1_53KQQ_2022-12-31_final.stac-item
2022-12-31 10:43:25	ga_s2bm_ard_3-2-1_53KMR_2022-12-31_final.stac-item
2022-12-31 10:43:32	ga_s2bm_ard_3-2-1_53KPQ_2022-12-31_final.stac-item
2022-12-31 10:43:44	ga_s2bm_ard_3-2-1_53KLQ_2022-12-31_final.stac-item
2022-12-31 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2022-12-31_final.stac-item
2022-12-31 10:43:47	ga_s2bm_ard_3-2-1_53KNP_2022-12-31_final.stac-item
2022-12-31 10:43:50	ga_s2bm_ard_3-2-1_53KLP_2022-12-31_final.stac-item
2022-12-31 10:43:52	ga_s2bm_ard_3-2-1_53KPP_2022-12-31_final.stac-item
2022-12-31 10:43:58	ga_s2bm_ard_3-2-1_53KLP_2022-12-31_final.stac-item
2022-12-31 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2022-12-31_final.stac-item
2022-12-31 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2022-12-31_final.stac-item
2022-12-31 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2022-12-31_final.stac-item
2022-12-31 10:44:12	ga_s2bm_ard_3-2-1_53JLN_2022-12-31_final.stac-item
2022-12-31 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2022-12-31_final.stac-item
2022-12-31 10:44:23	ga_s2bm_ard_3-2-1_53JMM_2022-12-31_final.stac-item
2022-12-31 10:44:26	ga_s2bm_ard_3-2-1_53JLM_2022-12-31_final.stac-item
2022-12-31 10:45:50	ga_s2bm_ard_3-2-1_53JMF_2022-12-31_final.stac-item
2022-12-31 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2022-12-31_final.stac-item
2022-12-31 10:45:53	ga_s2bm_ard_3-2-1_53JKF_2022-12-31_final.stac-item
2022-12-31 10:45:54	ga_s2bm_ard_3-2-1_52JGL_2022-12-31_final.stac-item
2022-12-31 10:45:57	ga_s2bm_ard_3-2-1_53JMF_2022-12-31_final.stac-item
2022-12-31 10:45:59	ga_s2bm_ard_3-2-1_53JLF_2022-12-31_final.stac-item
2022-12-31 10:46:00	ga_s2bm_ard_3-2-1_53JKF_2022-12-31_final.stac-item
2022-12-31 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2022-12-31_final.stac-item
2022-12-31 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-12-31_final.stac-item
2022-12-31 10:46:26	ga_s2bm_ard_3-2-1_53HKD_2022-12-31_nrt.stac-item
2022-12-31 10:46:27	ga_s2bm_ard_3-2-1_52HGJ_2022-12-31_nrt.stac-item
2022-12-31 10:46:30	ga_s2bm_ard_3-2-1_53HMC_2022-12-31_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

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