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
2023-05-21 10:10:03	ga_s2bm_ard_3-2-1_54LZP_2023-05-21_final.stac-item
2023-05-21 10:10:45	ga_s2bm_ard_3-2-1_54LZL_2023-05-21_final.stac-item
2023-05-21 10:11:27	ga_s2bm_ard_3-2-1_55LBC_2023-05-21_final.stac-item
2023-05-21 10:11:39	ga_s2bm_ard_3-2-1_55KCB_2023-05-21_final.stac-item
2023-05-21 10:11:43	ga_s2bm_ard_3-2-1_54KZG_2023-05-21_final.stac-item
2023-05-21 10:12:33	ga_s2bm_ard_3-2-1_55KCT_2023-05-21_final.stac-item
2023-05-21 10:12:48	ga_s2bm_ard_3-2-1_54KXC_2023-05-21_final.stac-item
2023-05-21 10:13:46	ga_s2bm_ard_3-2-1_54KXU_2023-05-21_final.stac-item
2023-05-21 10:13:49	ga_s2bm_ard_3-2-1_54KWU_2023-05-21_final.stac-item
2023-05-21 10:14:26	ga_s2bm_ard_3-2-1_54JYR_2023-05-21_final.stac-item
2023-05-21 10:15:02	ga_s2bm_ard_3-2-1_54JYN_2023-05-21_final.stac-item
2023-05-21 10:15:13	ga_s2bm_ard_3-2-1_54JXN_2023-05-21_final.stac-item
2023-05-21 10:15:24	ga_s2bm_ard_3-2-1_54JUN_2023-05-21_final.stac-item
2023-05-21 10:15:34	ga_s2bm_ard_3-2-1_54JVM_2023-05-21_final.stac-item
2023-05-21 10:15:46	ga_s2bm_ard_3-2-1_54JWL_2023-05-21_final.stac-item
2023-05-21 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-05-21_final.stac-item
2023-05-21 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2023-05-21_final.stac-item
2023-05-21 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2023-05-21_final.stac-item
2023-05-21 11:52:53	ga_s2bm_ard_3-2-1_50KQE_2023-05-21_final.stac-item
2023-05-21 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2023-05-21_final.stac-item
2023-05-21 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2023-05-21_final.stac-item
2023-05-21 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2023-05-21_final.stac-item
2023-05-21 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-05-21_final.stac-item
2023-05-21 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2023-05-21_final.stac-item
2023-05-21 11:53:37	ga_s2bm_ard_3-2-1_50KQB_2023-05-21_final.stac-item
2023-05-21 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-05-21_final.stac-item
2023-05-21 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2023-05-21_final.stac-item
2023-05-21 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2023-05-21_final.stac-item
2023-05-21 11:53:46	ga_s2bm_ard_3-2-1_50KPB_2023-05-21_final.stac-item
2023-05-21 11:54:13	ga_s2bm_ard_3-2-1_50KNV_2023-05-21_final.stac-item
2023-05-21 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2023-05-21_final.stac-item
2023-05-21 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-05-21_final.stac-item
2023-05-21 11:54:38	ga_s2bm_ard_3-2-1_50KLU_2023-05-21_final.stac-item
2023-05-21 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-05-21_final.stac-item
2023-05-21 11:54:56	ga_s2bm_ard_3-2-1_50JNS_2023-05-21_final.stac-item
2023-05-21 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2023-05-21_final.stac-item
2023-05-21 11:55:11	ga_s2bm_ard_3-2-1_50JNR_2023-05-21_final.stac-item
2023-05-21 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-05-21_final.stac-item
2023-05-21 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-05-21_final.stac-item
2023-05-21 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-05-21_final.stac-item
2023-05-21 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-05-21_final.stac-item
2023-05-21 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-05-21_final.stac-item
2023-05-21 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-05-21_final.stac-item
2023-05-21 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2023-05-21_final.stac-item
2023-05-21 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-05-21_final.stac-item
2023-05-21 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-05-21_final.stac-item
2023-05-31 10:09:53	ga_s2bm_ard_3-2-1_55LDJ_2023-05-31_nrt.stac-item
2023-05-31 10:09:59	ga_s2bm_ard_3-2-1_55LBJ_2023-05-31_nrt.stac-item
2023-05-31 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-05-31_nrt.stac-item
2023-05-31 10:10:14	ga_s2bm_ard_3-2-1_55LBH_2023-05-31_nrt.stac-item
2023-05-31 10:10:22	ga_s2bm_ard_3-2-1_55LDG_2023-05-31_nrt.stac-item
2023-05-31 10:10:28	ga_s2bm_ard_3-2-1_55LBG_2023-05-31_nrt.stac-item
2023-05-31 10:10:36	ga_s2bm_ard_3-2-1_55LDF_2023-05-31_nrt.stac-item
2023-05-31 10:10:43	ga_s2bm_ard_3-2-1_55LBF_2023-05-31_nrt.stac-item
2023-05-31 10:10:51	ga_s2bm_ard_3-2-1_55LDE_2023-05-31_nrt.stac-item
2023-05-31 10:17:37	ga_s2bm_ard_3-2-1_53HQU_2023-05-31_nrt.stac-item
2023-05-31 10:17:42	ga_s2bm_ard_3-2-1_53HPU_2023-05-31_nrt.stac-item
2023-05-31 10:17:44	ga_s2bm_ard_3-2-1_53HQT_2023-05-31_nrt.stac-item
2023-05-31 11:50:37	ga_s2bm_ard_3-2-1_51LTJ_2023-05-31_nrt.stac-item
2023-05-31 11:50:52	ga_s2bm_ard_3-2-1_51LTH_2023-05-31_nrt.stac-item
2023-05-31 11:50:56	ga_s2bm_ard_3-2-1_50LQN_2023-05-31_nrt.stac-item
2023-05-31 11:51:06	ga_s2bm_ard_3-2-1_51LTG_2023-05-31_nrt.stac-item
2023-05-31 11:51:11	ga_s2bm_ard_3-2-1_50LQM_2023-05-31_nrt.stac-item
2023-05-31 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-05-31_nrt.stac-item
2023-05-31 11:51:26	ga_s2bm_ard_3-2-1_50LQL_2023-05-31_nrt.stac-item
2023-05-31 11:51:30	ga_s2bm_ard_3-2-1_50LPL_2023-05-31_nrt.stac-item
2023-05-31 11:51:35	ga_s2bm_ard_3-2-1_51LTE_2023-05-31_nrt.stac-item
2023-05-31 11:51:40	ga_s2bm_ard_3-2-1_50LQK_2023-05-31_nrt.stac-item
2023-05-31 11:51:43	ga_s2bm_ard_3-2-1_50LPK_2023-05-31_nrt.stac-item
2023-05-31 11:51:49	ga_s2bm_ard_3-2-1_51LTD_2023-05-31_nrt.stac-item
2023-05-31 11:51:55	ga_s2bm_ard_3-2-1_50LQJ_2023-05-31_nrt.stac-item
2023-05-31 11:51:58	ga_s2bm_ard_3-2-1_50LPJ_2023-05-31_nrt.stac-item
2023-05-31 11:52:04	ga_s2bm_ard_3-2-1_51LTC_2023-05-31_nrt.stac-item
2023-05-31 11:52:09	ga_s2bm_ard_3-2-1_50LQH_2023-05-31_nrt.stac-item
2023-05-31 11:52:12	ga_s2bm_ard_3-2-1_50LPH_2023-05-31_nrt.stac-item
2023-05-31 11:52:19	ga_s2bm_ard_3-2-1_51KTB_2023-05-31_nrt.stac-item
2023-05-31 11:52:20	ga_s2bm_ard_3-2-1_50KRG_2023-05-31_nrt.stac-item
2023-05-31 11:52:27	ga_s2bm_ard_3-2-1_50KPG_2023-05-31_nrt.stac-item
2023-05-31 11:52:32	ga_s2bm_ard_3-2-1_50KNG_2023-05-31_nrt.stac-item
2023-05-31 11:52:33	ga_s2bm_ard_3-2-1_51KTA_2023-05-31_nrt.stac-item
2023-05-31 11:52:34	ga_s2bm_ard_3-2-1_50KRF_2023-05-31_nrt.stac-item
2023-05-31 11:52:45	ga_s2bm_ard_3-2-1_50KNF_2023-05-31_nrt.stac-item
2023-05-31 11:52:47	ga_s2bm_ard_3-2-1_51KTV_2023-05-31_nrt.stac-item
2023-05-31 11:52:49	ga_s2bm_ard_3-2-1_50KRE_2023-05-31_nrt.stac-item
2023-05-31 11:52:56	ga_s2bm_ard_3-2-1_50KPE_2023-05-31_nrt.stac-item
2023-05-31 11:52:59	ga_s2bm_ard_3-2-1_50KNE_2023-05-31_nrt.stac-item
2023-05-31 11:53:14	ga_s2bm_ard_3-2-1_50KND_2023-05-31_nrt.stac-item
2023-05-31 11:56:33	ga_s2bm_ard_3-2-1_50JKL_2023-05-31_nrt.stac-item
2023-05-31 11:56:37	ga_s2bm_ard_3-2-1_49JGF_2023-05-31_nrt.stac-item
2023-05-31 11:56:47	ga_s2bm_ard_3-2-1_50HKK_2023-05-31_nrt.stac-item
2023-05-31 11:56:49	ga_s2bm_ard_3-2-1_49HGE_2023-05-31_nrt.stac-item
2023-05-31 11:57:02	ga_s2bm_ard_3-2-1_50HKJ_2023-05-31_nrt.stac-item
2023-05-31 11:57:04	ga_s2bm_ard_3-2-1_49HGD_2023-05-31_nrt.stac-item
2023-05-31 11:57:16	ga_s2bm_ard_3-2-1_50HKH_2023-05-31_nrt.stac-item
2023-05-31 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-05-31_nrt.stac-item
2023-05-31 11:57:26	ga_s2bm_ard_3-2-1_49HFC_2023-05-31_nrt.stac-item
2023-05-31 11:57:28	ga_s2bm_ard_3-2-1_50HKG_2023-05-31_nrt.stac-item
2023-05-31 11:57:29	ga_s2bm_ard_3-2-1_49HGB_2023-05-31_nrt.stac-item
2023-05-31 11:57:31	ga_s2bm_ard_3-2-1_49HFB_2023-05-31_nrt.stac-item
2023-05-31 11:57:31	ga_s2bm_ard_3-2-1_50HMF_2023-05-31_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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