Search ga_s2bm_ard_3 on 23rd March 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
2020-03-23 10:29:37	ga_s2bm_ard_3-2-1_54LXQ_2020-03-23_final.stac-item
2020-03-23 10:29:41	ga_s2bm_ard_3-2-1_54LWQ_2020-03-23_final
2020-03-23 10:29:52	ga_s2bm_ard_3-2-1_54LXP_2020-03-23_final.stac-item
2020-03-23 10:29:55	ga_s2bm_ard_3-2-1_54LWP_2020-03-23_final
2020-03-23 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2020-03-23_final.stac-item
2020-03-23 10:30:10	ga_s2bm_ard_3-2-1_54LWN_2020-03-23_final.stac-item
2020-03-23 10:30:16	ga_s2bm_ard_3-2-1_54LXM_2020-03-23_final.stac-item
2020-03-23 10:30:24	ga_s2bm_ard_3-2-1_54LWM_2020-03-23_final.stac-item
2020-03-23 10:30:28	ga_s2bm_ard_3-2-1_54LVM_2020-03-23_final
2020-03-23 10:30:39	ga_s2bm_ard_3-2-1_54LWL_2020-03-23_final.stac-item
2020-03-23 10:30:42	ga_s2bm_ard_3-2-1_54LVL_2020-03-23_final
2020-03-23 10:30:53	ga_s2bm_ard_3-2-1_54LWK_2020-03-23_final.stac-item
2020-03-23 10:30:57	ga_s2bm_ard_3-2-1_54LVK_2020-03-23_final
2020-03-23 10:31:07	ga_s2bm_ard_3-2-1_54LWJ_2020-03-23_final.stac-item
2020-03-23 10:31:11	ga_s2bm_ard_3-2-1_54LVJ_2020-03-23_final
2020-03-23 10:31:14	ga_s2bm_ard_3-2-1_54LUJ_2020-03-23_final
2020-03-23 10:31:17	ga_s2bm_ard_3-2-1_54LWH_2020-03-23_final.stac-item
2020-03-23 10:31:19	ga_s2bm_ard_3-2-1_54LVJ_2020-03-23_final
2020-03-23 10:31:20	ga_s2bm_ard_3-2-1_54LVH_2020-03-23_final.stac-item
2020-03-23 10:31:21	ga_s2bm_ard_3-2-1_54LUJ_2020-03-23_final
2020-03-23 10:31:21	ga_s2bm_ard_3-2-1_54LUH_2020-03-23_final.stac-item
2020-03-23 10:31:22	ga_s2bm_ard_3-2-1_54LWH_2020-03-23_final.stac-item
2020-03-23 10:31:26	ga_s2bm_ard_3-2-1_54LVH_2020-03-23_final.stac-item
2020-03-23 10:31:29	ga_s2bm_ard_3-2-1_54LUH_2020-03-23_final.stac-item
2020-03-23 10:31:30	ga_s2bm_ard_3-2-1_54KWG_2020-03-23_final.stac-item
2020-03-23 10:31:40	ga_s2bm_ard_3-2-1_54KVG_2020-03-23_final.stac-item
2020-03-23 10:31:44	ga_s2bm_ard_3-2-1_54KUG_2020-03-23_final.stac-item
2020-03-23 10:31:47	ga_s2bm_ard_3-2-1_54KTG_2020-03-23_final.stac-item
2020-03-23 10:31:48	ga_s2bm_ard_3-2-1_53KRB_2020-03-23_final
2020-03-23 10:31:55	ga_s2bm_ard_3-2-1_54KVF_2020-03-23_final.stac-item
2020-03-23 10:31:58	ga_s2bm_ard_3-2-1_54KUF_2020-03-23_final.stac-item
2020-03-23 10:32:01	ga_s2bm_ard_3-2-1_54KTF_2020-03-23_final.stac-item
2020-03-23 10:32:02	ga_s2bm_ard_3-2-1_53KRA_2020-03-23_final.stac-item
2020-03-23 10:32:09	ga_s2bm_ard_3-2-1_53KQA_2020-03-23_final.stac-item
2020-03-23 10:32:09	ga_s2bm_ard_3-2-1_54KVE_2020-03-23_final.stac-item
2020-03-23 10:32:13	ga_s2bm_ard_3-2-1_54KUE_2020-03-23_final.stac-item
2020-03-23 10:32:16	ga_s2bm_ard_3-2-1_54KTE_2020-03-23_final.stac-item
2020-03-23 10:32:17	ga_s2bm_ard_3-2-1_53KRV_2020-03-23_final.stac-item
2020-03-23 10:32:20	ga_s2bm_ard_3-2-1_53KQV_2020-03-23_final.stac-item
2020-03-23 10:32:23	ga_s2bm_ard_3-2-1_54KVD_2020-03-23_final.stac-item
2020-03-23 10:32:27	ga_s2bm_ard_3-2-1_54KUD_2020-03-23_final.stac-item
2020-03-23 10:32:30	ga_s2bm_ard_3-2-1_54KTD_2020-03-23_final.stac-item
2020-03-23 10:32:31	ga_s2bm_ard_3-2-1_53KRU_2020-03-23_final.stac-item
2020-03-23 10:32:34	ga_s2bm_ard_3-2-1_53KQU_2020-03-23_final.stac-item
2020-03-23 10:32:35	ga_s2bm_ard_3-2-1_54KVC_2020-03-23_final.stac-item
2020-03-23 10:32:42	ga_s2bm_ard_3-2-1_54KUC_2020-03-23_final.stac-item
2020-03-23 10:32:45	ga_s2bm_ard_3-2-1_54KTC_2020-03-23_final.stac-item
2020-03-23 10:32:46	ga_s2bm_ard_3-2-1_53KRT_2020-03-23_final.stac-item
2020-03-23 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2020-03-23_final.stac-item
2020-03-23 10:32:56	ga_s2bm_ard_3-2-1_54KUB_2020-03-23_final.stac-item
2020-03-23 10:33:00	ga_s2bm_ard_3-2-1_54KTB_2020-03-23_final.stac-item
2020-03-23 10:33:00	ga_s2bm_ard_3-2-1_53KRS_2020-03-23_final.stac-item
2020-03-23 10:33:04	ga_s2bm_ard_3-2-1_53KQS_2020-03-23_final.stac-item
2020-03-23 10:33:10	ga_s2bm_ard_3-2-1_53KPS_2020-03-23_final.stac-item
2020-03-23 10:33:11	ga_s2bm_ard_3-2-1_54KUA_2020-03-23_final.stac-item
2020-03-23 10:33:14	ga_s2bm_ard_3-2-1_54KTA_2020-03-23_final.stac-item
2020-03-23 10:33:15	ga_s2bm_ard_3-2-1_53KRR_2020-03-23_final.stac-item
2020-03-23 10:33:18	ga_s2bm_ard_3-2-1_53KQR_2020-03-23_final.stac-item
2020-03-23 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2020-03-23_final.stac-item
2020-03-23 10:33:25	ga_s2bm_ard_3-2-1_54KUV_2020-03-23_final.stac-item
2020-03-23 10:33:29	ga_s2bm_ard_3-2-1_54KTV_2020-03-23_final.stac-item
2020-03-23 10:33:29	ga_s2bm_ard_3-2-1_53KRQ_2020-03-23_final.stac-item
2020-03-23 10:33:33	ga_s2bm_ard_3-2-1_53KQQ_2020-03-23_final.stac-item
2020-03-23 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2020-03-23_final.stac-item
2020-03-23 10:33:39	ga_s2bm_ard_3-2-1_54KUU_2020-03-23_final.stac-item
2020-03-23 10:33:43	ga_s2bm_ard_3-2-1_54KTU_2020-03-23_final.stac-item
2020-03-23 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2020-03-23_final.stac-item
2020-03-23 10:36:05	ga_s2bm_ard_3-2-1_53HNE_2020-03-23_final.stac-item
2020-03-23 10:36:08	ga_s2bm_ard_3-2-1_53HME_2020-03-23_final.stac-item
2020-03-23 10:36:15	ga_s2bm_ard_3-2-1_53HLE_2020-03-23_final.stac-item
2020-03-23 10:36:19	ga_s2bm_ard_3-2-1_53HND_2020-03-23_final.stac-item
2020-03-23 10:36:22	ga_s2bm_ard_3-2-1_53HMD_2020-03-23_final.stac-item
2020-03-23 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2020-03-23_final.stac-item
2020-03-23 10:36:30	ga_s2bm_ard_3-2-1_53HPC_2020-03-23_final.stac-item
2020-03-23 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2020-03-23_final.stac-item
2020-03-23 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2020-03-23_final.stac-item
2020-03-23 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2020-03-23_final.stac-item
2020-03-23 10:36:52	ga_s2bm_ard_3-2-1_53HMB_2020-03-23_final
2020-03-23 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2020-03-23_final.stac-item
2020-03-23 10:37:06	ga_s2bm_ard_3-2-1_53HPV_2020-03-23_final
2020-03-23 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-03-23_final.stac-item
2020-03-23 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-23_final.stac-item
2020-03-23 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-23_final.stac-item
2020-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final.stac-item
2020-03-23 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2020-03-23_final.stac-item
2020-03-23 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-03-23_final.stac-item
2020-03-23 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final.stac-item
2020-03-23 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final.stac-item
2020-03-23 12:14:07	ga_s2bm_ard_3-2-1_50KKV_2020-03-23_final.stac-item
2020-03-23 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2020-03-23_final.stac-item
2020-03-23 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-23_final.stac-item
2020-03-23 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2020-03-23_final.stac-item
2020-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-23_final.stac-item
2020-03-23 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-23_final.stac-item
2020-03-23 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2020-03-23_final.stac-item
2020-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-23_final.stac-item
2020-03-23 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-03-23_final.stac-item
2020-03-23 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-03-23_final.stac-item
2020-03-23 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2020-03-23_final.stac-item
2020-03-23 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-23_final.stac-item

Return to ga_s2bm_ard_3 on 23rd March 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

March

23rd