Search ga_s2bm_ard_3 across September 2021

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
2021-09-28 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2021-09-28_final.stac-item
2021-09-28 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2021-09-28_final.stac-item
2021-09-28 10:16:51	ga_s2bm_ard_3-2-1_54HWF_2021-09-28_final.stac-item
2021-09-28 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2021-09-28_final.stac-item
2021-09-28 10:16:59	ga_s2bm_ard_3-2-1_54HUF_2021-09-28_final.stac-item
2021-09-28 10:17:02	ga_s2bm_ard_3-2-1_54HWE_2021-09-28_final.stac-item
2021-09-28 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2021-09-28_final.stac-item
2021-09-28 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2021-09-28_final.stac-item
2021-09-28 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2021-09-28_final.stac-item
2021-09-28 10:17:24	ga_s2bm_ard_3-2-1_54HVD_2021-09-28_final.stac-item
2021-09-28 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2021-09-28_final.stac-item
2021-09-28 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2021-09-28_final.stac-item
2021-09-28 11:53:41	ga_s2bm_ard_3-2-1_50KMB_2021-09-28_final.stac-item
2021-09-28 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2021-09-28_final.stac-item
2021-09-28 11:54:10	ga_s2bm_ard_3-2-1_50KMV_2021-09-28_final.stac-item
2021-09-28 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2021-09-28_final.stac-item
2021-09-28 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2021-09-28_final.stac-item
2021-09-28 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2021-09-28_final.stac-item
2021-09-28 11:54:32	ga_s2bm_ard_3-2-1_50KLU_2021-09-28_final.stac-item
2021-09-28 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2021-09-28_final.stac-item
2021-09-28 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2021-09-28_final.stac-item
2021-09-28 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-09-28_final.stac-item
2021-09-28 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-09-28_final.stac-item
2021-09-28 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-09-28_final.stac-item
2021-09-28 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-09-28_final.stac-item
2021-09-28 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-09-28_final.stac-item
2021-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-09-28_final.stac-item
2021-09-28 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2021-09-28_final.stac-item
2021-09-28 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2021-09-28_final.stac-item
2021-09-28 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-09-28_final.stac-item
2021-09-28 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-09-28_final.stac-item
2021-09-28 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2021-09-28_final.stac-item
2021-09-28 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2021-09-28_final.stac-item
2021-09-28 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2021-09-28_final.stac-item
2021-09-28 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-09-28_final.stac-item
2021-09-28 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-09-28_final.stac-item
2021-09-28 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2021-09-28_final.stac-item
2021-09-28 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-09-28_final.stac-item
2021-09-28 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-09-28_final.stac-item
2021-09-28 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2021-09-28_final.stac-item
2021-09-28 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-09-28_final.stac-item
2021-09-28 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-09-28_final.stac-item
2021-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-09-28_final.stac-item
2021-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2021-09-28_final.stac-item
2021-09-28 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-09-28_final.stac-item
2021-09-28 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-09-28_final.stac-item
2021-09-28 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-09-28_final.stac-item
2021-09-28 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-09-28_final.stac-item
2021-09-28 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-09-28_final.stac-item
2021-09-28 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-09-28_final.stac-item
2021-09-28 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-09-28_final.stac-item
2021-09-28 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2021-09-28_final.stac-item
2021-09-29 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2021-09-29_final.stac-item
2021-09-29 09:46:27	ga_s2bm_ard_3-2-1_55HCC_2021-09-29_final.stac-item
2021-09-29 09:46:30	ga_s2bm_ard_3-2-1_55HEB_2021-09-29_final.stac-item
2021-09-29 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2021-09-29_final.stac-item
2021-09-29 09:46:38	ga_s2bm_ard_3-2-1_55HCB_2021-09-29_final.stac-item
2021-09-29 09:46:41	ga_s2bm_ard_3-2-1_55HFA_2021-09-29_final.stac-item
2021-09-29 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2021-09-29_final.stac-item
2021-09-29 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2021-09-29_final.stac-item
2021-09-29 09:46:51	ga_s2bm_ard_3-2-1_55HCA_2021-09-29_final.stac-item
2021-09-29 09:46:55	ga_s2bm_ard_3-2-1_55HFV_2021-09-29_final.stac-item
2021-09-29 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2021-09-29_final.stac-item
2021-09-29 09:47:03	ga_s2bm_ard_3-2-1_55HDV_2021-09-29_final.stac-item
2021-09-29 09:47:06	ga_s2bm_ard_3-2-1_55HCV_2021-09-29_final.stac-item
2021-09-29 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2021-09-29_final
2021-09-29 09:47:13	ga_s2bm_ard_3-2-1_55HEU_2021-09-29_final.stac-item
2021-09-29 09:47:17	ga_s2bm_ard_3-2-1_55HDU_2021-09-29_final.stac-item
2021-09-29 09:47:18	ga_s2bm_ard_3-2-1_55HFT_2021-09-29_final
2021-09-29 09:47:20	ga_s2bm_ard_3-2-1_55HCU_2021-09-29_final.stac-item
2021-09-29 09:47:23	ga_s2bm_ard_3-2-1_55HET_2021-09-29_final.stac-item
2021-09-29 09:47:25	ga_s2bm_ard_3-2-1_55HDT_2021-09-29_final.stac-item
2021-09-29 09:47:25	ga_s2bm_ard_3-2-1_55HDU_2021-09-29_final.stac-item
2021-09-29 09:47:26	ga_s2bm_ard_3-2-1_55HCT_2021-09-29_final.stac-item
2021-09-29 09:47:26	ga_s2bm_ard_3-2-1_55HCU_2021-09-29_final.stac-item
2021-09-29 09:47:29	ga_s2bm_ard_3-2-1_55HBU_2021-09-29_final.stac-item
2021-09-29 09:47:30	ga_s2bm_ard_3-2-1_55HET_2021-09-29_final.stac-item
2021-09-29 09:47:32	ga_s2bm_ard_3-2-1_55HDT_2021-09-29_final.stac-item
2021-09-29 09:47:35	ga_s2bm_ard_3-2-1_55HCT_2021-09-29_final.stac-item
2021-09-29 09:47:39	ga_s2bm_ard_3-2-1_55HBT_2021-09-29_final.stac-item
2021-09-29 09:47:43	ga_s2bm_ard_3-2-1_55HES_2021-09-29_final.stac-item
2021-09-29 09:47:43	ga_s2bm_ard_3-2-1_54HYC_2021-09-29_final.stac-item
2021-09-29 09:47:46	ga_s2bm_ard_3-2-1_55HDS_2021-09-29_final.stac-item
2021-09-29 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2021-09-29_final.stac-item
2021-09-29 09:47:53	ga_s2bm_ard_3-2-1_55HBS_2021-09-29_final.stac-item
2021-09-29 09:47:54	ga_s2bm_ard_3-2-1_54HYB_2021-09-29_final.stac-item
2021-09-29 09:47:57	ga_s2bm_ard_3-2-1_55GER_2021-09-29_final.stac-item
2021-09-29 09:48:01	ga_s2bm_ard_3-2-1_55GDR_2021-09-29_final.stac-item
2021-09-29 09:48:04	ga_s2bm_ard_3-2-1_55GCR_2021-09-29_final.stac-item
2021-09-29 09:48:08	ga_s2bm_ard_3-2-1_55GBR_2021-09-29_final.stac-item
2021-09-29 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2021-09-29_final.stac-item
2021-09-29 09:48:10	ga_s2bm_ard_3-2-1_55GEQ_2021-09-29_final.stac-item
2021-09-29 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2021-09-29_final.stac-item
2021-09-29 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2021-09-29_final.stac-item
2021-09-29 09:48:21	ga_s2bm_ard_3-2-1_55GEP_2021-09-29_final.stac-item
2021-09-29 09:48:22	ga_s2bm_ard_3-2-1_55GBQ_2021-09-29_final
2021-09-29 09:48:22	ga_s2bm_ard_3-2-1_54GYV_2021-09-29_final
2021-09-29 09:48:30	ga_s2bm_ard_3-2-1_55GDP_2021-09-29_final.stac-item
2021-09-29 09:48:33	ga_s2bm_ard_3-2-1_55GCP_2021-09-29_final.stac-item
2021-09-29 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2021-09-29_final.stac-item

Return to ga_s2bm_ard_3 across September 2021 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

2021

September

All days