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:

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First 100 results (query limit)

Time (local)	Label
2023-10-08 11:51:14	ga_s2bm_ard_3-2-1_51LUF_2023-10-08_final.stac-item
2023-10-08 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-10-08_final.stac-item
2023-10-08 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2023-10-08_final.stac-item
2023-10-08 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2023-10-08_final.stac-item
2023-10-08 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2023-10-08_final.stac-item
2023-10-08 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2023-10-08_final.stac-item
2023-10-08 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2023-10-08_final.stac-item
2023-10-08 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2023-10-08_final.stac-item
2023-10-08 11:53:51	ga_s2bm_ard_3-2-1_50KPA_2023-10-08_final.stac-item
2023-10-08 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2023-10-08_final.stac-item
2023-10-08 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2023-10-08_final.stac-item
2023-10-08 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2023-10-08_final.stac-item
2023-10-08 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2023-10-08_final.stac-item
2023-10-08 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2023-10-08_final.stac-item
2023-10-08 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2023-10-08_final.stac-item
2023-10-08 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2023-10-08_final.stac-item
2023-10-08 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2023-10-08_final.stac-item
2023-10-08 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2023-10-08_final.stac-item
2023-10-08 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2023-10-08_final.stac-item
2023-10-08 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2023-10-08_final.stac-item
2023-10-08 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2023-10-08_final.stac-item
2023-10-08 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2023-10-08_final.stac-item
2023-10-08 11:56:02	ga_s2bm_ard_3-2-1_50JLN_2023-10-08_final.stac-item
2023-10-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-10-08_final.stac-item
2023-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2023-10-08_final.stac-item
2023-10-08 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2023-10-08_final.stac-item
2023-10-08 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-08_final.stac-item
2023-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2023-10-08_final.stac-item
2023-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2023-10-08_final.stac-item
2023-10-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2023-10-08_final.stac-item
2023-10-09 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2023-10-09_final.stac-item
2023-10-09 11:21:37	ga_s2bm_ard_3-2-1_52LCJ_2023-10-09_final.stac-item
2023-10-09 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2023-10-09_final.stac-item
2023-10-09 11:21:41	ga_s2bm_ard_3-2-1_51LZD_2023-10-09_final.stac-item
2023-10-09 11:21:51	ga_s2bm_ard_3-2-1_52LCH_2023-10-09_final.stac-item
2023-10-09 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2023-10-09_final.stac-item
2023-10-09 11:22:02	ga_s2bm_ard_3-2-1_52KDG_2023-10-09_final.stac-item
2023-10-09 11:22:06	ga_s2bm_ard_3-2-1_52KCG_2023-10-09_final.stac-item
2023-10-09 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2023-10-09_final.stac-item
2023-10-09 11:22:39	ga_s2bm_ard_3-2-1_51KZV_2023-10-09_final.stac-item
2023-10-09 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-10-09_final.stac-item
2023-10-09 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-10-09_final.stac-item
2023-10-09 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2023-10-09_final.stac-item
2023-10-09 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-10-09_final.stac-item
2023-10-09 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2023-10-09_final.stac-item
2023-10-09 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2023-10-09_final.stac-item
2023-10-09 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-10-09_final.stac-item
2023-10-09 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2023-10-09_final.stac-item
2023-10-09 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2023-10-09_final.stac-item
2023-10-09 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-10-09_final.stac-item
2023-10-09 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-10-09_final.stac-item
2023-10-09 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-09_final.stac-item
2023-10-09 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2023-10-09_final.stac-item
2023-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2023-10-09_final.stac-item
2023-10-09 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-09_final.stac-item
2023-10-09 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2023-10-09_final.stac-item
2023-10-09 11:27:14	ga_s2bm_ard_3-2-1_51HTB_2023-10-09_final.stac-item
2023-10-10 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2023-10-10_final.stac-item
2023-10-10 10:54:02	ga_s2bm_ard_3-2-1_52KGU_2023-10-10_final.stac-item
2023-10-10 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2023-10-10_final.stac-item
2023-10-10 10:54:14	ga_s2bm_ard_3-2-1_52JGT_2023-10-10_final.stac-item
2023-10-10 10:54:19	ga_s2bm_ard_3-2-1_52JHT_2023-10-10_final.stac-item
2023-10-10 10:54:20	ga_s2bm_ard_3-2-1_52JGT_2023-10-10_final.stac-item
2023-10-10 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2023-10-10_final.stac-item
2023-10-10 10:56:24	ga_s2bm_ard_3-2-1_52HDK_2023-10-10_final.stac-item
2023-10-18 11:50:26	ga_s2bm_ard_3-2-1_51LVJ_2023-10-18_nrt.stac-item
2023-10-18 11:50:32	ga_s2bm_ard_3-2-1_51LUJ_2023-10-18_nrt.stac-item
2023-10-18 11:50:35	ga_s2bm_ard_3-2-1_51LTJ_2023-10-18_nrt.stac-item
2023-10-18 11:50:46	ga_s2bm_ard_3-2-1_51LUH_2023-10-18_nrt.stac-item
2023-10-18 11:50:50	ga_s2bm_ard_3-2-1_51LTH_2023-10-18_nrt.stac-item
2023-10-18 11:51:01	ga_s2bm_ard_3-2-1_51LUG_2023-10-18_nrt.stac-item
2023-10-18 11:51:04	ga_s2bm_ard_3-2-1_51LTG_2023-10-18_nrt.stac-item
2023-10-18 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-10-18_nrt.stac-item
2023-10-18 11:51:33	ga_s2bm_ard_3-2-1_51LTE_2023-10-18_nrt.stac-item
2023-10-18 11:51:41	ga_s2bm_ard_3-2-1_50LPK_2023-10-18_nrt.stac-item
2023-10-18 11:51:48	ga_s2bm_ard_3-2-1_51LTD_2023-10-18_nrt.stac-item
2023-10-18 11:51:56	ga_s2bm_ard_3-2-1_50LPJ_2023-10-18_nrt.stac-item
2023-10-18 11:52:02	ga_s2bm_ard_3-2-1_51LTC_2023-10-18_nrt.stac-item
2023-10-18 11:52:11	ga_s2bm_ard_3-2-1_50LPH_2023-10-18_nrt.stac-item
2023-10-18 11:52:25	ga_s2bm_ard_3-2-1_50KPG_2023-10-18_nrt.stac-item
2023-10-18 11:52:45	ga_s2bm_ard_3-2-1_51KTV_2023-10-18_nrt.stac-item
2023-10-18 11:52:54	ga_s2bm_ard_3-2-1_50KPE_2023-10-18_nrt.stac-item
2023-10-18 11:56:31	ga_s2bm_ard_3-2-1_50JKL_2023-10-18_nrt.stac-item
2023-10-18 11:56:35	ga_s2bm_ard_3-2-1_49JGF_2023-10-18_nrt.stac-item
2023-10-18 11:56:46	ga_s2bm_ard_3-2-1_50HKK_2023-10-18_nrt.stac-item
2023-10-18 11:56:48	ga_s2bm_ard_3-2-1_49HGE_2023-10-18_nrt.stac-item
2023-10-18 11:57:00	ga_s2bm_ard_3-2-1_50HKJ_2023-10-18_nrt.stac-item
2023-10-18 11:57:02	ga_s2bm_ard_3-2-1_49HGD_2023-10-18_nrt.stac-item
2023-10-18 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-10-18_nrt.stac-item
2023-10-18 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-10-18_nrt.stac-item
2023-10-18 11:57:25	ga_s2bm_ard_3-2-1_49HFC_2023-10-18_nrt.stac-item
2023-10-18 11:57:26	ga_s2bm_ard_3-2-1_50HKG_2023-10-18_nrt.stac-item
2023-10-18 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-10-18_nrt.stac-item
2023-10-18 11:57:29	ga_s2bm_ard_3-2-1_49HFB_2023-10-18_nrt.stac-item
2023-10-18 11:57:29	ga_s2bm_ard_3-2-1_50HMF_2023-10-18_nrt.stac-item
2023-10-19 11:20:28	ga_s2bm_ard_3-2-1_52LBP_2023-10-19_nrt.stac-item
2023-10-19 11:20:42	ga_s2bm_ard_3-2-1_52LBN_2023-10-19_nrt.stac-item
2023-10-19 11:20:59	ga_s2bm_ard_3-2-1_51LZG_2023-10-19_nrt.stac-item
2023-10-19 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-10-19_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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