Search ga_s2bm_ard_3 on 26th April 2020

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
2020-04-26 10:15:42	ga_s2bm_ard_3-2-1_54JUL_2020-04-26_final.stac-item
2020-04-26 10:15:45	ga_s2bm_ard_3-2-1_54HXK_2020-04-26_final.stac-item
2020-04-26 10:15:50	ga_s2bm_ard_3-2-1_54HWK_2020-04-26_final.stac-item
2020-04-26 10:15:53	ga_s2bm_ard_3-2-1_54HVK_2020-04-26_final.stac-item
2020-04-26 10:15:55	ga_s2bm_ard_3-2-1_54HXJ_2020-04-26_final.stac-item
2020-04-26 10:15:57	ga_s2bm_ard_3-2-1_54HUK_2020-04-26_final.stac-item
2020-04-26 10:16:04	ga_s2bm_ard_3-2-1_54HWJ_2020-04-26_final.stac-item
2020-04-26 10:16:08	ga_s2bm_ard_3-2-1_54HVJ_2020-04-26_final.stac-item
2020-04-26 10:16:11	ga_s2bm_ard_3-2-1_54HUJ_2020-04-26_final.stac-item
2020-04-26 10:16:16	ga_s2bm_ard_3-2-1_54HTJ_2020-04-26_final.stac-item
2020-04-26 10:16:19	ga_s2bm_ard_3-2-1_54HWH_2020-04-26_final.stac-item
2020-04-26 10:16:23	ga_s2bm_ard_3-2-1_54HVH_2020-04-26_final.stac-item
2020-04-26 10:16:26	ga_s2bm_ard_3-2-1_54HUH_2020-04-26_final.stac-item
2020-04-26 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2020-04-26_final.stac-item
2020-04-26 10:16:34	ga_s2bm_ard_3-2-1_54HWG_2020-04-26_final.stac-item
2020-04-26 10:16:37	ga_s2bm_ard_3-2-1_54HVG_2020-04-26_final.stac-item
2020-04-26 10:16:41	ga_s2bm_ard_3-2-1_54HUG_2020-04-26_final.stac-item
2020-04-26 10:16:44	ga_s2bm_ard_3-2-1_54HTG_2020-04-26_final.stac-item
2020-04-26 10:16:47	ga_s2bm_ard_3-2-1_53HQB_2020-04-26_final.stac-item
2020-04-26 10:16:47	ga_s2bm_ard_3-2-1_54HWF_2020-04-26_final.stac-item
2020-04-26 10:16:52	ga_s2bm_ard_3-2-1_54HVF_2020-04-26_final.stac-item
2020-04-26 10:16:55	ga_s2bm_ard_3-2-1_54HUF_2020-04-26_final.stac-item
2020-04-26 10:16:58	ga_s2bm_ard_3-2-1_54HTF_2020-04-26_final.stac-item
2020-04-26 10:16:58	ga_s2bm_ard_3-2-1_54HWE_2020-04-26_final.stac-item
2020-04-26 10:16:59	ga_s2bm_ard_3-2-1_53HQA_2020-04-26_final.stac-item
2020-04-26 10:17:06	ga_s2bm_ard_3-2-1_54HVE_2020-04-26_final.stac-item
2020-04-26 10:17:13	ga_s2bm_ard_3-2-1_54HTE_2020-04-26_final
2020-04-26 10:17:14	ga_s2bm_ard_3-2-1_53HQV_2020-04-26_final
2020-04-26 10:17:20	ga_s2bm_ard_3-2-1_54HVD_2020-04-26_final.stac-item
2020-04-26 11:51:08	ga_s2bm_ard_3-2-1_51LUF_2020-04-26_final.stac-item
2020-04-26 11:51:22	ga_s2bm_ard_3-2-1_51LUE_2020-04-26_final.stac-item
2020-04-26 11:51:34	ga_s2bm_ard_3-2-1_51LUD_2020-04-26_final
2020-04-26 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-04-26_final
2020-04-26 11:52:29	ga_s2bm_ard_3-2-1_50KQF_2020-04-26_final
2020-04-26 11:52:32	ga_s2bm_ard_3-2-1_50KPF_2020-04-26_final
2020-04-26 11:52:43	ga_s2bm_ard_3-2-1_50KQE_2020-04-26_final
2020-04-26 11:52:49	ga_s2bm_ard_3-2-1_51KTU_2020-04-26_final.stac-item
2020-04-26 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2020-04-26_final.stac-item
2020-04-26 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2020-04-26_final
2020-04-26 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-04-26_final.stac-item
2020-04-26 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2020-04-26_final.stac-item
2020-04-26 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-04-26_final.stac-item
2020-04-26 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2020-04-26_final.stac-item
2020-04-26 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2020-04-26_final.stac-item
2020-04-26 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2020-04-26_final.stac-item
2020-04-26 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2020-04-26_final.stac-item
2020-04-26 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2020-04-26_final.stac-item
2020-04-26 11:53:38	ga_s2bm_ard_3-2-1_50KMB_2020-04-26_final.stac-item
2020-04-26 11:53:41	ga_s2bm_ard_3-2-1_50KQA_2020-04-26_final.stac-item
2020-04-26 11:53:45	ga_s2bm_ard_3-2-1_50KPA_2020-04-26_final.stac-item
2020-04-26 11:53:48	ga_s2bm_ard_3-2-1_50KNA_2020-04-26_final.stac-item
2020-04-26 11:53:51	ga_s2bm_ard_3-2-1_50KMA_2020-04-26_final.stac-item
2020-04-26 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2020-04-26_final.stac-item
2020-04-26 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2020-04-26_final.stac-item
2020-04-26 11:54:03	ga_s2bm_ard_3-2-1_50KNV_2020-04-26_final.stac-item
2020-04-26 11:54:06	ga_s2bm_ard_3-2-1_50KMV_2020-04-26_final.stac-item
2020-04-26 11:54:08	ga_s2bm_ard_3-2-1_50KQU_2020-04-26_final.stac-item
2020-04-26 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2020-04-26_final.stac-item
2020-04-26 11:54:17	ga_s2bm_ard_3-2-1_50KNU_2020-04-26_final.stac-item
2020-04-26 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2020-04-26_final.stac-item
2020-04-26 11:54:21	ga_s2bm_ard_3-2-1_50KMU_2020-04-26_final.stac-item
2020-04-26 11:54:28	ga_s2bm_ard_3-2-1_50JPT_2020-04-26_final.stac-item
2020-04-26 11:54:28	ga_s2bm_ard_3-2-1_50KLU_2020-04-26_final.stac-item
2020-04-26 11:54:32	ga_s2bm_ard_3-2-1_50JNT_2020-04-26_final.stac-item
2020-04-26 11:54:35	ga_s2bm_ard_3-2-1_50JMT_2020-04-26_final.stac-item
2020-04-26 11:54:39	ga_s2bm_ard_3-2-1_50JLT_2020-04-26_final.stac-item
2020-04-26 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2020-04-26_final.stac-item
2020-04-26 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2020-04-26_final.stac-item
2020-04-26 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2020-04-26_final.stac-item
2020-04-26 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2020-04-26_final.stac-item
2020-04-26 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2020-04-26_final.stac-item
2020-04-26 11:55:01	ga_s2bm_ard_3-2-1_50JNR_2020-04-26_final.stac-item
2020-04-26 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2020-04-26_final.stac-item
2020-04-26 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2020-04-26_final.stac-item
2020-04-26 11:55:11	ga_s2bm_ard_3-2-1_50JPQ_2020-04-26_final.stac-item
2020-04-26 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2020-04-26_final.stac-item
2020-04-26 11:55:19	ga_s2bm_ard_3-2-1_50JMQ_2020-04-26_final.stac-item
2020-04-26 11:55:21	ga_s2bm_ard_3-2-1_50JPP_2020-04-26_final.stac-item
2020-04-26 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2020-04-26_final.stac-item
2020-04-26 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2020-04-26_final.stac-item
2020-04-26 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2020-04-26_final.stac-item
2020-04-26 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-26_final.stac-item
2020-04-26 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-04-26_final.stac-item
2020-04-26 11:55:44	ga_s2bm_ard_3-2-1_50JNN_2020-04-26_final.stac-item
2020-04-26 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2020-04-26_final.stac-item
2020-04-26 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2020-04-26_final.stac-item
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final.stac-item
2020-04-26 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2020-04-26_final.stac-item
2020-04-26 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2020-04-26_final.stac-item
2020-04-26 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2020-04-26_final.stac-item
2020-04-26 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2020-04-26_final.stac-item
2020-04-26 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-04-26_final.stac-item
2020-04-26 11:56:17	ga_s2bm_ard_3-2-1_50JML_2020-04-26_final.stac-item
2020-04-26 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2020-04-26_final.stac-item
2020-04-26 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2020-04-26_final.stac-item
2020-04-26 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2020-04-26_final.stac-item
2020-04-26 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2020-04-26_final.stac-item
2020-04-26 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-04-26_final.stac-item
2020-04-26 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-26_final.stac-item
2020-04-26 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-04-26_final.stac-item

Return to ga_s2bm_ard_3 on 26th April 2020 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

2020

April

26th