Search ga_s2bm_ard_3 whole collection

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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50HMJ_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JML_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2017-07-01_final
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50HNK_2017-07-01_final
2017-07-02 11:26:09	ga_s2bm_ard_3-2-1_51HWE_2017-07-02_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLC_2017-07-04_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLU_2017-07-04_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLV_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JLM_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGJ_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKQ_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKS_2017-07-04_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KVU_2017-07-05_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KVV_2017-07-05_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KWV_2017-07-05_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KXA_2017-07-05_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KXB_2017-07-05_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KYB_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HPJ_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50JPL_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51HUC_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51HUD_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51HVE_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51JVG_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2017-07-05_final
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2017-07-07_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50HMK_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLT_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JML_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JNL_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JQT_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KLU_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KMV_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KNA_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KRD_2017-07-11_final
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2017-07-11_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51HTC_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51HWE_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JUF_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JUG_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JXG_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KYB_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KYP_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KYU_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KZV_2017-07-12_final
2017-07-14 12:03:48	ga_s2bm_ard_3-2-1_50KMV_2017-07-14_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGK_2017-07-14_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-16 10:58:39	ga_s2bm_ard_3-2-1_51HYD_2017-07-16_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGM_2017-07-17_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_50JQT_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_50KRD_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVU_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVV_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51LVC_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51LVE_2017-07-18_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51LVF_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HPH_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HQH_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JNM_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JPL_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMH_2017-07-18_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51HYD_2017-07-19_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51HYE_2017-07-19_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51JYF_2017-07-19_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-21_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50HNK_2017-07-21_final
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2017-07-21_final
2017-07-22 11:26:09	ga_s2bm_ard_3-2-1_51HVE_2017-07-22_final
2017-07-22 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2017-07-22_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKN_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLM_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLT_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKM_2017-07-24_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KVU_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KVV_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KWV_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXA_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXB_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KYB_2017-07-25_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KYU_2017-07-25_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-25_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51HVD_2017-07-25_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51JUF_2017-07-25_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51JVG_2017-07-25_final
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGL_2017-07-27_final
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_51KZR_2017-07-29_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HMK_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JML_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KNC_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KQA_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KRD_2017-07-31_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2017-07-31_final
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLH_2017-07-31_final
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMK_2017-09-16_final

Return to ga_s2bm_ard_3 whole collection 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

All years