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
2023-04-21 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2023-04-21_final.stac-item
2023-04-21 10:17:21	ga_s2bm_ard_3-2-1_53HQV_2023-04-21_final.stac-item
2023-04-21 11:52:56	ga_s2bm_ard_3-2-1_51KTU_2023-04-21_final.stac-item
2023-04-21 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2023-04-21_final.stac-item
2023-04-21 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-04-21_final.stac-item
2023-04-21 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2023-04-21_final.stac-item
2023-04-21 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-04-21_final.stac-item
2023-04-21 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2023-04-21_final.stac-item
2023-04-21 11:53:48	ga_s2bm_ard_3-2-1_50KQA_2023-04-21_final.stac-item
2023-04-21 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2023-04-21_final.stac-item
2023-04-21 11:53:53	ga_s2bm_ard_3-2-1_50KMA_2023-04-21_final.stac-item
2023-04-21 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2023-04-21_final.stac-item
2023-04-21 11:53:56	ga_s2bm_ard_3-2-1_50KPA_2023-04-21_final.stac-item
2023-04-21 11:54:00	ga_s2bm_ard_3-2-1_50KMA_2023-04-21_final.stac-item
2023-04-21 11:54:10	ga_s2bm_ard_3-2-1_50KNV_2023-04-21_final.stac-item
2023-04-21 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2023-04-21_final.stac-item
2023-04-21 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2023-04-21_final.stac-item
2023-04-21 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2023-04-21_final.stac-item
2023-04-21 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2023-04-21_final.stac-item
2023-04-21 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2023-04-21_final.stac-item
2023-04-21 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2023-04-21_final.stac-item
2023-04-21 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2023-04-21_final.stac-item
2023-04-21 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2023-04-21_final.stac-item
2023-04-21 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2023-04-21_final.stac-item
2023-04-21 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2023-04-21_final.stac-item
2023-04-21 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-21_final.stac-item
2023-04-21 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2023-04-21_final.stac-item
2023-04-21 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-21_final.stac-item
2023-04-21 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2023-04-21_final.stac-item
2023-04-21 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-04-21_final.stac-item
2023-04-21 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-04-21_final.stac-item
2023-04-21 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-04-21_final.stac-item
2023-04-21 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-04-21_final.stac-item
2023-04-21 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-04-21_final.stac-item
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final.stac-item
2023-04-22 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-04-22_final.stac-item
2023-04-22 11:21:23	ga_s2bm_ard_3-2-1_52LCK_2023-04-22_final.stac-item
2023-04-22 11:21:49	ga_s2bm_ard_3-2-1_52LDH_2023-04-22_final.stac-item
2023-04-22 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2023-04-22_final.stac-item
2023-04-22 11:22:07	ga_s2bm_ard_3-2-1_52KCG_2023-04-22_final.stac-item
2023-04-22 11:22:11	ga_s2bm_ard_3-2-1_51KZB_2023-04-22_final.stac-item
2023-04-22 11:22:40	ga_s2bm_ard_3-2-1_51KZV_2023-04-22_final.stac-item
2023-04-22 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-04-22_final.stac-item
2023-04-22 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2023-04-22_final.stac-item
2023-04-22 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2023-04-22_final.stac-item
2023-04-22 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-04-22_final.stac-item
2023-04-22 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2023-04-22_final.stac-item
2023-04-22 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-04-22_final.stac-item
2023-04-22 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-04-22_final.stac-item
2023-04-22 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2023-04-22_final.stac-item
2023-04-22 11:24:21	ga_s2bm_ard_3-2-1_52JBT_2023-04-22_final.stac-item
2023-04-22 11:24:28	ga_s2bm_ard_3-2-1_51JXN_2023-04-22_final.stac-item
2023-04-22 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2023-04-22_final.stac-item
2023-04-22 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-04-22_final.stac-item
2023-04-22 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2023-04-22_final.stac-item
2023-04-22 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-04-22_final.stac-item
2023-04-22 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2023-04-22_final.stac-item
2023-04-22 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2023-04-22_final.stac-item
2023-04-22 11:26:19	ga_s2bm_ard_3-2-1_51JWF_2023-04-22_final.stac-item
2023-04-22 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2023-04-22_final.stac-item
2023-04-22 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-04-22_final.stac-item
2023-04-22 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2023-04-22_final.stac-item
2023-04-22 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2023-04-22_final.stac-item
2023-04-22 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2023-04-22_final.stac-item
2023-04-23 10:50:44	ga_s2bm_ard_3-2-1_53LMG_2023-04-23_final.stac-item
2023-04-23 10:51:02	ga_s2bm_ard_3-2-1_53LLF_2023-04-23_final.stac-item
2023-04-23 10:51:43	ga_s2bm_ard_3-2-1_53KPB_2023-04-23_final.stac-item
2023-04-23 10:51:59	ga_s2bm_ard_3-2-1_53KLB_2023-04-23_final.stac-item
2023-04-23 10:52:11	ga_s2bm_ard_3-2-1_53KMA_2023-04-23_final.stac-item
2023-04-23 10:52:14	ga_s2bm_ard_3-2-1_53KLA_2023-04-23_final.stac-item
2023-04-23 10:52:29	ga_s2bm_ard_3-2-1_53KLV_2023-04-23_final.stac-item
2023-04-23 10:52:43	ga_s2bm_ard_3-2-1_53KLU_2023-04-23_final.stac-item
2023-04-23 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2023-04-23_final.stac-item
2023-04-23 10:53:09	ga_s2bm_ard_3-2-1_53KMS_2023-04-23_final.stac-item
2023-04-23 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2023-04-23_final.stac-item
2023-04-23 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2023-04-23_final.stac-item
2023-04-23 10:53:30	ga_s2bm_ard_3-2-1_53KKR_2023-04-23_final.stac-item
2023-04-23 10:53:30	ga_s2bm_ard_3-2-1_52KHA_2023-04-23_final.stac-item
2023-04-23 10:53:45	ga_s2bm_ard_3-2-1_53KKQ_2023-04-23_final.stac-item
2023-04-23 10:53:45	ga_s2bm_ard_3-2-1_52KHV_2023-04-23_final.stac-item
2023-04-23 10:53:59	ga_s2bm_ard_3-2-1_52KHU_2023-04-23_final.stac-item
2023-04-23 10:54:02	ga_s2bm_ard_3-2-1_53JMN_2023-04-23_final.stac-item
2023-04-23 10:54:50	ga_s2bm_ard_3-2-1_52JFR_2023-04-23_final.stac-item
2023-04-23 10:55:01	ga_s2bm_ard_3-2-1_52JGQ_2023-04-23_final.stac-item
2023-04-23 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-04-23_final.stac-item
2023-04-23 10:55:07	ga_s2bm_ard_3-2-1_53JLJ_2023-04-23_final.stac-item
2023-04-23 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2023-04-23_final.stac-item
2023-04-23 10:55:17	ga_s2bm_ard_3-2-1_53JLH_2023-04-23_final.stac-item
2023-04-23 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2023-04-23_final.stac-item
2023-04-23 10:55:56	ga_s2bm_ard_3-2-1_53JKF_2023-04-23_final.stac-item
2023-04-23 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2023-04-23_final.stac-item
2023-04-23 10:56:10	ga_s2bm_ard_3-2-1_53HKE_2023-04-23_final.stac-item
2023-05-04 12:02:59	ga_s2bm_ard_3-2-1_50KNE_2023-05-04_nrt.stac-item
2023-05-04 12:03:00	ga_s2bm_ard_3-2-1_50KME_2023-05-04_nrt.stac-item
2023-05-04 12:03:04	ga_s2bm_ard_3-2-1_50KKE_2023-05-04_nrt.stac-item
2023-05-04 12:03:08	ga_s2bm_ard_3-2-1_50KND_2023-05-04_nrt.stac-item
2023-05-04 12:03:11	ga_s2bm_ard_3-2-1_50KMD_2023-05-04_nrt.stac-item
2023-05-04 12:03:17	ga_s2bm_ard_3-2-1_50KKD_2023-05-04_nrt.stac-item
2023-05-04 12:03:20	ga_s2bm_ard_3-2-1_49KHU_2023-05-04_nrt.stac-item
2023-05-04 12:03:32	ga_s2bm_ard_3-2-1_50KKC_2023-05-04_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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