Search ga_s2bm_ard_3 on 17th December 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
2021-12-17 10:09:52	ga_s2bm_ard_3-2-1_54LZP_2021-12-17_final.stac-item
2021-12-17 10:10:05	ga_s2bm_ard_3-2-1_54LZN_2021-12-17_final.stac-item
2021-12-17 10:10:19	ga_s2bm_ard_3-2-1_54LZM_2021-12-17_final.stac-item
2021-12-17 10:10:34	ga_s2bm_ard_3-2-1_54LZL_2021-12-17_final.stac-item
2021-12-17 10:10:44	ga_s2bm_ard_3-2-1_55LCE_2021-12-17_final.stac-item
2021-12-17 10:10:47	ga_s2bm_ard_3-2-1_55LBE_2021-12-17_final.stac-item
2021-12-17 10:10:49	ga_s2bm_ard_3-2-1_54LZK_2021-12-17_final.stac-item
2021-12-17 10:10:54	ga_s2bm_ard_3-2-1_54LYK_2021-12-17_final.stac-item
2021-12-17 10:10:58	ga_s2bm_ard_3-2-1_55LCD_2021-12-17_final.stac-item
2021-12-17 10:11:02	ga_s2bm_ard_3-2-1_55LBD_2021-12-17_final.stac-item
2021-12-17 10:11:03	ga_s2bm_ard_3-2-1_54LZJ_2021-12-17_final.stac-item
2021-12-17 10:11:06	ga_s2bm_ard_3-2-1_54LYJ_2021-12-17_final.stac-item
2021-12-17 10:11:13	ga_s2bm_ard_3-2-1_55LCC_2021-12-17_final.stac-item
2021-12-17 10:11:16	ga_s2bm_ard_3-2-1_55LBC_2021-12-17_final.stac-item
2021-12-17 10:11:17	ga_s2bm_ard_3-2-1_54LZH_2021-12-17_final.stac-item
2021-12-17 10:11:21	ga_s2bm_ard_3-2-1_54LYH_2021-12-17_final.stac-item
2021-12-17 10:11:27	ga_s2bm_ard_3-2-1_55KCB_2021-12-17_final.stac-item
2021-12-17 10:11:31	ga_s2bm_ard_3-2-1_55KBB_2021-12-17_final.stac-item
2021-12-17 10:11:32	ga_s2bm_ard_3-2-1_54KZG_2021-12-17_final.stac-item
2021-12-17 10:11:35	ga_s2bm_ard_3-2-1_54KYG_2021-12-17_final.stac-item
2021-12-17 10:11:42	ga_s2bm_ard_3-2-1_55KCA_2021-12-17_final.stac-item
2021-12-17 10:11:45	ga_s2bm_ard_3-2-1_55KBA_2021-12-17_final.stac-item
2021-12-17 10:11:46	ga_s2bm_ard_3-2-1_54KZF_2021-12-17_final.stac-item
2021-12-17 10:11:50	ga_s2bm_ard_3-2-1_54KYF_2021-12-17_final.stac-item
2021-12-17 10:11:56	ga_s2bm_ard_3-2-1_54KXF_2021-12-17_final.stac-item
2021-12-17 10:11:57	ga_s2bm_ard_3-2-1_55KCV_2021-12-17_final.stac-item
2021-12-17 10:12:00	ga_s2bm_ard_3-2-1_55KBV_2021-12-17_final.stac-item
2021-12-17 10:12:01	ga_s2bm_ard_3-2-1_54KZE_2021-12-17_final.stac-item
2021-12-17 10:12:04	ga_s2bm_ard_3-2-1_54KYE_2021-12-17_final.stac-item
2021-12-17 10:12:08	ga_s2bm_ard_3-2-1_54KXE_2021-12-17_final.stac-item
2021-12-17 10:12:10	ga_s2bm_ard_3-2-1_55KCU_2021-12-17_final.stac-item
2021-12-17 10:12:14	ga_s2bm_ard_3-2-1_55KBU_2021-12-17_final.stac-item
2021-12-17 10:12:15	ga_s2bm_ard_3-2-1_54KZD_2021-12-17_final.stac-item
2021-12-17 10:12:19	ga_s2bm_ard_3-2-1_54KYD_2021-12-17_final.stac-item
2021-12-17 10:12:22	ga_s2bm_ard_3-2-1_55KCT_2021-12-17_final.stac-item
2021-12-17 10:12:22	ga_s2bm_ard_3-2-1_54KXD_2021-12-17_final.stac-item
2021-12-17 10:12:29	ga_s2bm_ard_3-2-1_55KBT_2021-12-17_final.stac-item
2021-12-17 10:12:30	ga_s2bm_ard_3-2-1_54KZC_2021-12-17_final.stac-item
2021-12-17 10:12:33	ga_s2bm_ard_3-2-1_54KYC_2021-12-17_final.stac-item
2021-12-17 10:12:37	ga_s2bm_ard_3-2-1_54KXC_2021-12-17_final.stac-item
2021-12-17 10:12:43	ga_s2bm_ard_3-2-1_55KBS_2021-12-17_final.stac-item
2021-12-17 10:12:44	ga_s2bm_ard_3-2-1_54KZB_2021-12-17_final.stac-item
2021-12-17 10:12:48	ga_s2bm_ard_3-2-1_54KYB_2021-12-17_final.stac-item
2021-12-17 10:12:51	ga_s2bm_ard_3-2-1_54KXB_2021-12-17_final.stac-item
2021-12-17 10:12:57	ga_s2bm_ard_3-2-1_54KWB_2021-12-17_final.stac-item
2021-12-17 10:12:58	ga_s2bm_ard_3-2-1_55KBR_2021-12-17_final.stac-item
2021-12-17 10:12:58	ga_s2bm_ard_3-2-1_54KZA_2021-12-17_final.stac-item
2021-12-17 10:13:02	ga_s2bm_ard_3-2-1_54KYA_2021-12-17_final.stac-item
2021-12-17 10:13:06	ga_s2bm_ard_3-2-1_54KXA_2021-12-17_final.stac-item
2021-12-17 10:13:09	ga_s2bm_ard_3-2-1_54KWA_2021-12-17_final.stac-item
2021-12-17 10:13:13	ga_s2bm_ard_3-2-1_55KBQ_2021-12-17_final.stac-item
2021-12-17 10:13:13	ga_s2bm_ard_3-2-1_54KZV_2021-12-17_final.stac-item
2021-12-17 10:13:17	ga_s2bm_ard_3-2-1_54KYV_2021-12-17_final.stac-item
2021-12-17 10:13:20	ga_s2bm_ard_3-2-1_54KXV_2021-12-17_final.stac-item
2021-12-17 10:13:23	ga_s2bm_ard_3-2-1_54KWV_2021-12-17_final.stac-item
2021-12-17 10:13:26	ga_s2bm_ard_3-2-1_55KBP_2021-12-17_final.stac-item
2021-12-17 10:13:27	ga_s2bm_ard_3-2-1_54KZU_2021-12-17_final.stac-item
2021-12-17 10:13:31	ga_s2bm_ard_3-2-1_54KYU_2021-12-17_final.stac-item
2021-12-17 10:13:35	ga_s2bm_ard_3-2-1_54KXU_2021-12-17_final.stac-item
2021-12-17 10:13:38	ga_s2bm_ard_3-2-1_55JBN_2021-12-17_final.stac-item
2021-12-17 10:13:38	ga_s2bm_ard_3-2-1_54KWU_2021-12-17_final.stac-item
2021-12-17 10:13:39	ga_s2bm_ard_3-2-1_54JZT_2021-12-17_final.stac-item
2021-12-17 10:13:45	ga_s2bm_ard_3-2-1_54JYT_2021-12-17_final.stac-item
2021-12-17 10:13:49	ga_s2bm_ard_3-2-1_54JXT_2021-12-17_final.stac-item
2021-12-17 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2021-12-17_final.stac-item
2021-12-17 11:54:34	ga_s2bm_ard_3-2-1_50JMT_2021-12-17_final.stac-item
2021-12-17 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2021-12-17_final.stac-item
2021-12-17 11:54:45	ga_s2bm_ard_3-2-1_50JNS_2021-12-17_final.stac-item
2021-12-17 11:54:49	ga_s2bm_ard_3-2-1_50JMS_2021-12-17_final.stac-item
2021-12-17 11:54:52	ga_s2bm_ard_3-2-1_50JLS_2021-12-17_final.stac-item
2021-12-17 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2021-12-17_final.stac-item
2021-12-17 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2021-12-17_final.stac-item
2021-12-17 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2021-12-17_final.stac-item
2021-12-17 11:55:14	ga_s2bm_ard_3-2-1_50JNQ_2021-12-17_final.stac-item
2021-12-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2021-12-17_final.stac-item
2021-12-17 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2021-12-17_final.stac-item
2021-12-17 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2021-12-17_final.stac-item
2021-12-17 11:55:28	ga_s2bm_ard_3-2-1_50JNP_2021-12-17_final.stac-item
2021-12-17 11:55:32	ga_s2bm_ard_3-2-1_50JMP_2021-12-17_final.stac-item
2021-12-17 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2021-12-17_final.stac-item
2021-12-17 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2021-12-17_final.stac-item
2021-12-17 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2021-12-17_final.stac-item
2021-12-17 11:55:47	ga_s2bm_ard_3-2-1_50JMN_2021-12-17_final.stac-item
2021-12-17 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2021-12-17_final.stac-item
2021-12-17 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2021-12-17_final.stac-item
2021-12-17 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2021-12-17_final.stac-item
2021-12-17 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2021-12-17_final.stac-item
2021-12-17 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2021-12-17_final.stac-item
2021-12-17 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2021-12-17_final.stac-item
2021-12-17 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2021-12-17_final.stac-item
2021-12-17 11:56:16	ga_s2bm_ard_3-2-1_50JML_2021-12-17_final.stac-item
2021-12-17 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2021-12-17_final.stac-item
2021-12-17 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2021-12-17_final.stac-item
2021-12-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2021-12-17_final.stac-item
2021-12-17 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2021-12-17_final.stac-item
2021-12-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-12-17_final.stac-item
2021-12-17 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2021-12-17_final.stac-item
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final.stac-item
2021-12-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2021-12-17_final.stac-item
2021-12-17 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2021-12-17_final

Return to ga_s2bm_ard_3 on 17th December 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

December

17th