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
2023-09-25 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2023-09-25_final.stac-item
2023-09-25 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-09-25_final.stac-item
2023-09-26 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2023-09-26_final.stac-item
2023-09-26 11:10:46	ga_s2bm_ard_3-2-1_52LGM_2023-09-26_final.stac-item
2023-09-26 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2023-09-26_final.stac-item
2023-09-26 11:11:05	ga_s2bm_ard_3-2-1_52LFL_2023-09-26_final.stac-item
2023-09-26 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2023-09-26_final.stac-item
2023-09-26 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-09-26_final.stac-item
2023-09-26 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2023-09-26_final.stac-item
2023-09-26 11:11:30	ga_s2bm_ard_3-2-1_52LEK_2023-09-26_final.stac-item
2023-09-26 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2023-09-26_final.stac-item
2023-09-26 11:11:35	ga_s2bm_ard_3-2-1_52LFJ_2023-09-26_final.stac-item
2023-09-26 11:11:37	ga_s2bm_ard_3-2-1_52LEJ_2023-09-26_final.stac-item
2023-09-26 11:12:17	ga_s2bm_ard_3-2-1_52KFF_2023-09-26_final.stac-item
2023-09-26 11:12:24	ga_s2bm_ard_3-2-1_52KDF_2023-09-26_final.stac-item
2023-09-26 11:12:27	ga_s2bm_ard_3-2-1_52KCF_2023-09-26_final.stac-item
2023-09-26 11:12:32	ga_s2bm_ard_3-2-1_52KFE_2023-09-26_final.stac-item
2023-09-26 11:12:38	ga_s2bm_ard_3-2-1_52KDE_2023-09-26_final.stac-item
2023-09-26 11:12:41	ga_s2bm_ard_3-2-1_52KCE_2023-09-26_final.stac-item
2023-09-26 11:12:53	ga_s2bm_ard_3-2-1_52KDD_2023-09-26_final.stac-item
2023-09-26 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2023-09-26_final.stac-item
2023-09-26 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2023-09-26_final.stac-item
2023-09-26 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2023-09-26_final.stac-item
2023-09-26 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2023-09-26_final.stac-item
2023-09-26 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2023-09-26_final.stac-item
2023-09-26 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2023-09-26_final.stac-item
2023-09-26 11:14:44	ga_s2bm_ard_3-2-1_51JYM_2023-09-26_final.stac-item
2023-09-26 11:14:56	ga_s2bm_ard_3-2-1_52JBR_2023-09-26_final.stac-item
2023-09-26 11:14:59	ga_s2bm_ard_3-2-1_51JYL_2023-09-26_final.stac-item
2023-09-26 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-09-26_final.stac-item
2023-09-26 11:15:07	ga_s2bm_ard_3-2-1_52JCQ_2023-09-26_final.stac-item
2023-09-26 11:15:15	ga_s2bm_ard_3-2-1_52JDP_2023-09-26_final.stac-item
2023-09-26 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2023-09-26_final.stac-item
2023-09-26 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2023-09-26_final.stac-item
2023-09-26 11:16:58	ga_s2bm_ard_3-2-1_51HXC_2023-09-26_final.stac-item
2023-09-26 11:17:08	ga_s2bm_ard_3-2-1_51HXB_2023-09-26_final.stac-item
2023-09-27 10:42:13	ga_s2bm_ard_3-2-1_53KNA_2023-09-27_final.stac-item
2023-09-27 10:43:29	ga_s2bm_ard_3-2-1_53KMR_2023-09-27_final.stac-item
2023-09-27 10:43:44	ga_s2bm_ard_3-2-1_53KMQ_2023-09-27_final.stac-item
2023-09-27 10:44:16	ga_s2bm_ard_3-2-1_53JLN_2023-09-27_final.stac-item
2023-09-27 10:44:27	ga_s2bm_ard_3-2-1_53JMM_2023-09-27_final.stac-item
2023-09-27 10:44:31	ga_s2bm_ard_3-2-1_53JLM_2023-09-27_final.stac-item
2023-09-27 10:44:42	ga_s2bm_ard_3-2-1_53JML_2023-09-27_final.stac-item
2023-09-27 10:44:53	ga_s2bm_ard_3-2-1_53JNK_2023-09-27_final.stac-item
2023-09-27 10:44:56	ga_s2bm_ard_3-2-1_53JMK_2023-09-27_final.stac-item
2023-09-27 10:45:07	ga_s2bm_ard_3-2-1_53JNJ_2023-09-27_final.stac-item
2023-09-27 10:45:32	ga_s2bm_ard_3-2-1_53JKH_2023-09-27_final.stac-item
2023-09-27 10:45:43	ga_s2bm_ard_3-2-1_53JLG_2023-09-27_final.stac-item
2023-09-27 10:45:47	ga_s2bm_ard_3-2-1_53JKG_2023-09-27_final.stac-item
2023-09-27 10:45:58	ga_s2bm_ard_3-2-1_53JLF_2023-09-27_final.stac-item
2023-09-27 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2023-09-27_final.stac-item
2023-09-27 10:46:24	ga_s2bm_ard_3-2-1_53HMD_2023-09-27_final.stac-item
2023-09-27 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2023-09-27_final.stac-item
2023-09-28 10:16:55	ga_s2bm_ard_3-2-1_53HQB_2023-09-28_final.stac-item
2023-09-28 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2023-09-28_final.stac-item
2023-09-28 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-09-28_final.stac-item
2023-09-28 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2023-09-28_final.stac-item
2023-09-28 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-09-28_final.stac-item
2023-09-28 11:53:49	ga_s2bm_ard_3-2-1_50KQA_2023-09-28_final.stac-item
2023-09-28 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2023-09-28_final.stac-item
2023-09-28 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2023-09-28_final.stac-item
2023-09-28 11:54:14	ga_s2bm_ard_3-2-1_50KMV_2023-09-28_final.stac-item
2023-09-28 11:54:16	ga_s2bm_ard_3-2-1_50KQU_2023-09-28_final.stac-item
2023-09-28 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-09-28_final.stac-item
2023-09-28 11:54:36	ga_s2bm_ard_3-2-1_50JPT_2023-09-28_final.stac-item
2023-09-28 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2023-09-28_final.stac-item
2023-09-28 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-09-28_final.stac-item
2023-09-28 11:54:58	ga_s2bm_ard_3-2-1_50JMS_2023-09-28_final.stac-item
2023-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2023-09-28_final.stac-item
2023-09-28 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2023-09-28_final.stac-item
2023-09-28 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-09-28_final.stac-item
2023-09-28 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2023-09-28_final.stac-item
2023-09-28 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-09-28_final.stac-item
2023-09-28 11:55:41	ga_s2bm_ard_3-2-1_50JMP_2023-09-28_final.stac-item
2023-09-28 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2023-09-28_final.stac-item
2023-09-28 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-09-28_final.stac-item
2023-09-28 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-09-28_final.stac-item
2023-09-28 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2023-09-28_final.stac-item
2023-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JMN_2023-09-28_final.stac-item
2023-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2023-09-28_final.stac-item
2023-09-28 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2023-09-28_final.stac-item
2023-09-28 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-09-28_final.stac-item
2023-09-28 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2023-09-28_final.stac-item
2023-09-28 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-09-28_final.stac-item
2023-09-28 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-09-28_final.stac-item
2023-09-28 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-09-28_final.stac-item
2023-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2023-09-28_final.stac-item
2023-09-28 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-09-28_final.stac-item
2023-09-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-09-28_final.stac-item
2023-09-28 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-09-28_final.stac-item
2023-10-08 11:50:34	ga_s2bm_ard_3-2-1_51LTJ_2023-10-08_nrt.stac-item
2023-10-08 11:50:34	ga_s2bm_ard_3-2-1_51LVH_2023-10-08_nrt.stac-item
2023-10-08 11:51:17	ga_s2bm_ard_3-2-1_51LTF_2023-10-08_nrt.stac-item
2023-10-08 11:51:46	ga_s2bm_ard_3-2-1_51LTD_2023-10-08_nrt.stac-item
2023-10-08 11:56:34	ga_s2bm_ard_3-2-1_49JGF_2023-10-08_nrt.stac-item
2023-10-08 11:57:15	ga_s2bm_ard_3-2-1_49HGC_2023-10-08_nrt.stac-item
2023-10-08 11:57:23	ga_s2bm_ard_3-2-1_49HFC_2023-10-08_nrt.stac-item
2023-10-09 11:20:27	ga_s2bm_ard_3-2-1_52LBP_2023-10-09_nrt.stac-item
2023-10-09 11:20:41	ga_s2bm_ard_3-2-1_52LBN_2023-10-09_nrt.stac-item
2023-10-09 11:20:58	ga_s2bm_ard_3-2-1_51LZG_2023-10-09_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

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