Search ga_s2bm_ard_3 on 29th September 2019

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

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

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-09-29 10:10:26	ga_s2bm_ard_3-2-1_54LZM_2019-09-29_final
2019-09-29 10:10:51	ga_s2bm_ard_3-2-1_55LCE_2019-09-29_final
2019-09-29 10:10:54	ga_s2bm_ard_3-2-1_55LBE_2019-09-29_final
2019-09-29 10:10:55	ga_s2bm_ard_3-2-1_54LZK_2019-09-29_final
2019-09-29 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2019-09-29_final
2019-09-29 10:11:19	ga_s2bm_ard_3-2-1_55LCC_2019-09-29_final
2019-09-29 10:11:23	ga_s2bm_ard_3-2-1_55LBC_2019-09-29_final
2019-09-29 10:11:24	ga_s2bm_ard_3-2-1_54LZH_2019-09-29_final
2019-09-29 10:11:27	ga_s2bm_ard_3-2-1_54LYH_2019-09-29_final
2019-09-29 10:12:03	ga_s2bm_ard_3-2-1_55KCV_2019-09-29_final
2019-09-29 10:12:14	ga_s2bm_ard_3-2-1_54KXE_2019-09-29_final
2019-09-29 10:12:17	ga_s2bm_ard_3-2-1_55KCU_2019-09-29_final
2019-09-29 10:12:28	ga_s2bm_ard_3-2-1_55KCT_2019-09-29_final
2019-09-29 10:12:29	ga_s2bm_ard_3-2-1_54KXD_2019-09-29_final
2019-09-29 10:12:43	ga_s2bm_ard_3-2-1_54KXC_2019-09-29_final
2019-09-29 10:12:50	ga_s2bm_ard_3-2-1_55KBS_2019-09-29_final
2019-09-29 10:13:19	ga_s2bm_ard_3-2-1_55KBQ_2019-09-29_final
2019-09-29 10:13:41	ga_s2bm_ard_3-2-1_54KXU_2019-09-29_final
2019-09-29 10:14:14	ga_s2bm_ard_3-2-1_54JWS_2019-09-29_final
2019-09-29 10:14:18	ga_s2bm_ard_3-2-1_54JVS_2019-09-29_final
2019-09-29 10:14:35	ga_s2bm_ard_3-2-1_54JYQ_2019-09-29_final
2019-09-29 10:14:39	ga_s2bm_ard_3-2-1_54JXQ_2019-09-29_final
2019-09-29 10:14:43	ga_s2bm_ard_3-2-1_54JWQ_2019-09-29_final
2019-09-29 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2019-09-29_final
2019-09-29 10:14:48	ga_s2bm_ard_3-2-1_54JYP_2019-09-29_final
2019-09-29 10:14:54	ga_s2bm_ard_3-2-1_54JXP_2019-09-29_final
2019-09-29 10:14:58	ga_s2bm_ard_3-2-1_54JYN_2019-09-29_final
2019-09-29 10:15:08	ga_s2bm_ard_3-2-1_54JXN_2019-09-29_final
2019-09-29 10:15:08	ga_s2bm_ard_3-2-1_54JUP_2019-09-29_final
2019-09-29 10:15:12	ga_s2bm_ard_3-2-1_54JWN_2019-09-29_final
2019-09-29 10:15:15	ga_s2bm_ard_3-2-1_54JVN_2019-09-29_final
2019-09-29 10:15:19	ga_s2bm_ard_3-2-1_54JUN_2019-09-29_final
2019-09-29 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2019-09-29_final
2019-09-29 10:15:26	ga_s2bm_ard_3-2-1_54JWM_2019-09-29_final
2019-09-29 10:15:30	ga_s2bm_ard_3-2-1_54JVM_2019-09-29_final
2019-09-29 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2019-09-29_final
2019-09-29 10:15:37	ga_s2bm_ard_3-2-1_54JXL_2019-09-29_final
2019-09-29 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2019-09-29_final
2019-09-29 10:15:44	ga_s2bm_ard_3-2-1_54JVL_2019-09-29_final
2019-09-29 10:15:48	ga_s2bm_ard_3-2-1_54JUL_2019-09-29_final
2019-09-29 10:15:50	ga_s2bm_ard_3-2-1_54HXK_2019-09-29_final
2019-09-29 10:15:55	ga_s2bm_ard_3-2-1_54HWK_2019-09-29_final
2019-09-29 10:15:59	ga_s2bm_ard_3-2-1_54HVK_2019-09-29_final
2019-09-29 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2019-09-29_final
2019-09-29 10:16:02	ga_s2bm_ard_3-2-1_54HUK_2019-09-29_final
2019-09-29 10:16:10	ga_s2bm_ard_3-2-1_54HWJ_2019-09-29_final
2019-09-29 10:16:14	ga_s2bm_ard_3-2-1_54HVJ_2019-09-29_final
2019-09-29 10:16:17	ga_s2bm_ard_3-2-1_54HUJ_2019-09-29_final
2019-09-29 10:16:21	ga_s2bm_ard_3-2-1_54HTJ_2019-09-29_final
2019-09-29 10:16:24	ga_s2bm_ard_3-2-1_54HWH_2019-09-29_final
2019-09-29 10:16:28	ga_s2bm_ard_3-2-1_54HVH_2019-09-29_final
2019-09-29 10:16:31	ga_s2bm_ard_3-2-1_54HUH_2019-09-29_final
2019-09-29 10:16:34	ga_s2bm_ard_3-2-1_54HTH_2019-09-29_final
2019-09-29 10:16:39	ga_s2bm_ard_3-2-1_54HWG_2019-09-29_final
2019-09-29 10:16:43	ga_s2bm_ard_3-2-1_54HVG_2019-09-29_final
2019-09-29 10:16:46	ga_s2bm_ard_3-2-1_54HUG_2019-09-29_final
2019-09-29 10:16:49	ga_s2bm_ard_3-2-1_54HTG_2019-09-29_final
2019-09-29 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2019-09-29_final
2019-09-29 10:16:52	ga_s2bm_ard_3-2-1_54HWF_2019-09-29_final
2019-09-29 10:16:57	ga_s2bm_ard_3-2-1_54HVF_2019-09-29_final
2019-09-29 10:17:00	ga_s2bm_ard_3-2-1_54HUF_2019-09-29_final
2019-09-29 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2019-09-29_final
2019-09-29 10:17:04	ga_s2bm_ard_3-2-1_54HWE_2019-09-29_final
2019-09-29 10:17:05	ga_s2bm_ard_3-2-1_53HQA_2019-09-29_final
2019-09-29 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-09-29_final
2019-09-29 10:17:18	ga_s2bm_ard_3-2-1_54HTE_2019-09-29_final.stac-item
2019-09-29 10:17:19	ga_s2bm_ard_3-2-1_53HQV_2019-09-29_final.stac-item
2019-09-29 10:17:26	ga_s2bm_ard_3-2-1_54HVD_2019-09-29_final
2019-09-29 10:17:30	ga_s2bm_ard_3-2-1_54HUD_2019-09-29_final.stac-item
2019-09-29 10:17:38	ga_s2bm_ard_3-2-1_54HVC_2019-09-29_final.stac-item
2019-09-29 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-09-29_final.stac-item
2019-09-29 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-09-29_final
2019-09-29 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2019-09-29_final
2019-09-29 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2019-09-29_final
2019-09-29 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2019-09-29_final
2019-09-29 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-09-29_final
2019-09-29 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2019-09-29_final
2019-09-29 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-09-29_final
2019-09-29 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2019-09-29_final
2019-09-29 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2019-09-29_final
2019-09-29 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-09-29_final
2019-09-29 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2019-09-29_final
2019-09-29 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2019-09-29_final
2019-09-29 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-09-29_final
2019-09-29 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2019-09-29_final
2019-09-29 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2019-09-29_final
2019-09-29 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-09-29_final
2019-09-29 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-09-29_final
2019-09-29 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2019-09-29_final
2019-09-29 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-09-29_final
2019-09-29 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-09-29_final
2019-09-29 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-09-29_final
2019-09-29 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-09-29_final
2019-09-29 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-09-29_final
2019-09-29 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2019-09-29_final
2019-09-29 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-09-29_final
2019-09-29 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-09-29_final
2019-09-29 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-09-29_final
2019-09-29 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-09-29_final
2019-09-29 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-09-29_final

Return to ga_s2bm_ard_3 on 29th September 2019 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2019

September

29th