Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-04-15 11:51:54	ga_s2bm_ard_3-2-1_50LRJ_2024-04-15_nrt
2024-04-15 11:51:56	ga_s2bm_ard_3-2-1_50LQJ_2024-04-15_nrt
2024-04-15 11:51:57	ga_s2bm_ard_3-2-1_50LPJ_2024-04-15_nrt
2024-04-15 11:52:02	ga_s2bm_ard_3-2-1_50LRH_2024-04-15_nrt
2024-04-15 11:52:06	ga_s2bm_ard_3-2-1_50LQH_2024-04-15_nrt
2024-04-15 11:52:09	ga_s2bm_ard_3-2-1_50LPH_2024-04-15_nrt
2024-04-15 11:52:17	ga_s2bm_ard_3-2-1_50KRG_2024-04-15_nrt
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_final
2024-04-15 11:52:24	ga_s2bm_ard_3-2-1_50KPG_2024-04-15_nrt
2024-04-15 11:52:29	ga_s2bm_ard_3-2-1_50KNG_2024-04-15_nrt
2024-04-15 11:52:30	ga_s2bm_ard_3-2-1_51KTA_2024-04-15_nrt
2024-04-15 11:52:31	ga_s2bm_ard_3-2-1_50KRF_2024-04-15_nrt
2024-04-15 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2024-04-15_final
2024-04-15 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2024-04-15_final
2024-04-15 11:52:42	ga_s2bm_ard_3-2-1_50KNF_2024-04-15_nrt
2024-04-15 11:52:46	ga_s2bm_ard_3-2-1_50KRE_2024-04-15_nrt
2024-04-15 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2024-04-15_final
2024-04-15 11:52:53	ga_s2bm_ard_3-2-1_50KPE_2024-04-15_nrt
2024-04-15 11:52:56	ga_s2bm_ard_3-2-1_50KNE_2024-04-15_nrt
2024-04-15 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2024-04-15_final
2024-04-15 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2024-04-15_final
2024-04-15 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2024-04-15_final
2024-04-15 11:53:11	ga_s2bm_ard_3-2-1_50KND_2024-04-15_nrt
2024-04-15 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2024-04-15_final
2024-04-15 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2024-04-15_final
2024-04-15 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2024-04-15_final
2024-04-15 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2024-04-15_final
2024-04-15 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2024-04-15_final
2024-04-15 11:53:33	ga_s2bm_ard_3-2-1_50KQB_2024-04-15_final
2024-04-15 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2024-04-15_final
2024-04-15 11:53:40	ga_s2bm_ard_3-2-1_50KNB_2024-04-15_final
2024-04-15 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2024-04-15_final
2024-04-15 11:53:47	ga_s2bm_ard_3-2-1_50KQA_2024-04-15_final
2024-04-15 11:53:51	ga_s2bm_ard_3-2-1_50KPA_2024-04-15_final
2024-04-15 11:53:54	ga_s2bm_ard_3-2-1_50KNA_2024-04-15_final
2024-04-15 11:53:57	ga_s2bm_ard_3-2-1_50KMA_2024-04-15_final
2024-04-15 11:54:01	ga_s2bm_ard_3-2-1_50KQV_2024-04-15_final
2024-04-15 11:54:05	ga_s2bm_ard_3-2-1_50KPV_2024-04-15_final
2024-04-15 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2024-04-15_final
2024-04-15 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2024-04-15_final
2024-04-15 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2024-04-15_final
2024-04-15 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2024-04-15_final
2024-04-15 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2024-04-15_final
2024-04-15 11:54:24	ga_s2bm_ard_3-2-1_50JQT_2024-04-15_final
2024-04-15 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2024-04-15_final
2024-04-15 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2024-04-15_final
2024-04-15 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2024-04-15_final
2024-04-15 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2024-04-15_final
2024-04-15 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2024-04-15_final
2024-04-15 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2024-04-15_final
2024-04-15 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2024-04-15_final
2024-04-15 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2024-04-15_final
2024-04-15 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2024-04-15_final
2024-04-15 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2024-04-15_final
2024-04-15 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2024-04-15_final
2024-04-15 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2024-04-15_final
2024-04-15 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2024-04-15_final
2024-04-15 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2024-04-15_final
2024-04-15 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2024-04-15_final
2024-04-15 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2024-04-15_final
2024-04-15 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2024-04-15_final
2024-04-15 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2024-04-15_final
2024-04-15 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2024-04-15_final
2024-04-15 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2024-04-15_final
2024-04-15 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2024-04-15_final
2024-04-15 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2024-04-15_final
2024-04-15 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-04-15_final
2024-04-15 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2024-04-15_final
2024-04-15 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2024-04-15_final
2024-04-15 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-04-15_final
2024-04-15 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-04-15_final
2024-04-15 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2024-04-15_final
2024-04-15 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2024-04-15_final
2024-04-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-04-15_final
2024-04-15 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2024-04-15_final
2024-04-15 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2024-04-15_final
2024-04-15 11:56:23	ga_s2bm_ard_3-2-1_50JML_2024-04-15_final
2024-04-15 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2024-04-15_final
2024-04-15 11:56:30	ga_s2bm_ard_3-2-1_50JKL_2024-04-15_nrt
2024-04-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-04-15_final
2024-04-15 11:56:34	ga_s2bm_ard_3-2-1_49JGF_2024-04-15_nrt
2024-04-15 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2024-04-15_final
2024-04-15 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2024-04-15_final
2024-04-15 11:56:44	ga_s2bm_ard_3-2-1_50HKK_2024-04-15_nrt
2024-04-15 11:56:46	ga_s2bm_ard_3-2-1_49HGE_2024-04-15_nrt
2024-04-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-04-15_final
2024-04-15 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-04-15_final
2024-04-15 11:56:59	ga_s2bm_ard_3-2-1_50HKJ_2024-04-15_nrt
2024-04-15 11:57:01	ga_s2bm_ard_3-2-1_49HGD_2024-04-15_nrt
2024-04-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-04-15_final
2024-04-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-04-15_final
2024-04-15 11:57:13	ga_s2bm_ard_3-2-1_50HKH_2024-04-15_nrt
2024-04-15 11:57:15	ga_s2bm_ard_3-2-1_49HGC_2024-04-15_nrt
2024-04-15 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2024-04-15_final
2024-04-15 11:57:23	ga_s2bm_ard_3-2-1_49HFC_2024-04-15_nrt
2024-04-15 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2024-04-15_final
2024-04-15 11:57:25	ga_s2bm_ard_3-2-1_50HKG_2024-04-15_nrt
2024-04-15 11:57:26	ga_s2bm_ard_3-2-1_49HGB_2024-04-15_nrt
2024-04-15 11:57:28	ga_s2bm_ard_3-2-1_49HFB_2024-04-15_nrt
2024-04-15 11:57:28	ga_s2bm_ard_3-2-1_50HMF_2024-04-15_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years