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
2022-11-26 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-11-26_final.stac-item
2022-11-28 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2022-11-28_final.stac-item
2022-11-28 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-11-28_final.stac-item
2022-12-02 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2022-12-02_final.stac-item
2022-12-02 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2022-12-02_final.stac-item
2022-12-02 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2022-12-02_final.stac-item
2022-12-02 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2022-12-02_final.stac-item
2022-12-02 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2022-12-02_final.stac-item
2022-12-02 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2022-12-02_final.stac-item
2022-12-02 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-12-02_final.stac-item
2022-12-02 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2022-12-02_final.stac-item
2022-12-02 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2022-12-02_final.stac-item
2022-12-02 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2022-12-02_final.stac-item
2022-12-02 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2022-12-02_final.stac-item
2022-12-02 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2022-12-02_final.stac-item
2022-12-02 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-12-02_final.stac-item
2022-12-02 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2022-12-02_final.stac-item
2022-12-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-12-02_final.stac-item
2022-12-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-12-02_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2022-12-05 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2022-12-05_final.stac-item
2022-12-05 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2022-12-05_final.stac-item
2022-12-05 12:03:30	ga_s2bm_ard_3-2-1_50KNB_2022-12-05_final.stac-item
2022-12-05 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-12-05_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2022-12-05 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2022-12-05_final.stac-item
2022-12-05 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-05_final.stac-item
2022-12-05 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2022-12-05_final.stac-item
2022-12-05 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-12-05_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-05_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-12-05_final.stac-item
2022-12-05 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2022-12-05_final.stac-item
2022-12-05 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2022-12-05_final.stac-item
2022-12-05 12:05:06	ga_s2bm_ard_3-2-1_49JFM_2022-12-05_final.stac-item
2022-12-05 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-12-05_final.stac-item
2022-12-05 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-05_final.stac-item
2022-12-05 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-12-05_final.stac-item
2022-12-05 12:06:11	ga_s2bm_ard_3-2-1_50JLL_2022-12-05_final.stac-item
2022-12-06 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2022-12-06_final.stac-item
2022-12-06 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-12-06_final.stac-item
2022-12-08 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2022-12-08_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-08 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-12-08_final.stac-item
2022-12-08 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2022-12-08_final.stac-item
2022-12-08 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-12-08_final.stac-item
2022-12-08 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-12-08_final.stac-item
2022-12-08 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2022-12-08_final.stac-item
2022-12-09 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2022-12-09_final.stac-item
2022-12-09 11:44:49	ga_s2bm_ard_3-2-1_50JPS_2022-12-09_final.stac-item
2022-12-09 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2022-12-09_final.stac-item
2022-12-09 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-12-09_final.stac-item
2022-12-09 11:46:15	ga_s2bm_ard_3-2-1_50JPL_2022-12-09_final.stac-item
2022-12-09 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-12-09_final.stac-item
2022-12-09 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-12-09_final.stac-item
2022-12-09 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-12-09_final.stac-item
2022-12-12 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2022-12-12_final.stac-item
2022-12-12 11:53:36	ga_s2bm_ard_3-2-1_50KNB_2022-12-12_final.stac-item
2022-12-12 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2022-12-12_final.stac-item
2022-12-12 11:54:30	ga_s2bm_ard_3-2-1_50KLU_2022-12-12_final.stac-item
2022-12-12 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2022-12-12_final.stac-item
2022-12-12 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-12-12_final.stac-item
2022-12-12 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2022-12-12_final.stac-item
2022-12-12 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2022-12-12_final.stac-item
2022-12-12 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2022-12-12_final.stac-item
2022-12-12 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2022-12-12_final.stac-item
2022-12-12 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2022-12-12_final.stac-item
2022-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2022-12-12_final.stac-item
2022-12-12 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2022-12-12_final.stac-item
2022-12-12 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2022-12-12_final.stac-item
2022-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2022-12-12_final.stac-item
2022-12-12 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2022-12-12_final.stac-item
2022-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-12-12_final.stac-item
2022-12-15 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2022-12-15_final.stac-item
2022-12-15 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2022-12-15_final.stac-item
2022-12-15 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2022-12-15_final.stac-item
2022-12-15 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-12-15_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2022-12-15 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2022-12-15_final.stac-item
2022-12-15 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-15_final.stac-item
2022-12-15 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2022-12-15_final.stac-item
2022-12-15 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-12-15_final.stac-item
2022-12-15 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2022-12-15_final.stac-item
2022-12-15 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-15_final.stac-item
2022-12-15 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-12-15_final.stac-item
2022-12-15 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2022-12-15_final.stac-item
2022-12-15 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2022-12-15_final.stac-item
2022-12-15 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-12-15_final.stac-item
2022-12-15 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-12-15_final.stac-item
2022-12-15 12:05:06	ga_s2bm_ard_3-2-1_49JFM_2022-12-15_final.stac-item
2022-12-15 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-12-15_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2022-12-15 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-12-15_final.stac-item
2022-12-15 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2022-12-15_final.stac-item
2022-12-16 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2022-12-16_final.stac-item
2022-12-16 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2022-12-16_final.stac-item
2022-12-28 12:13:46	ga_s2bm_ard_3-2-1_49KFS_2022-12-28_nrt.stac-item
2022-12-28 12:14:30	ga_s2bm_ard_3-2-1_49KFP_2022-12-28_nrt.stac-item
2022-12-28 12:15:21	ga_s2bm_ard_3-2-1_49JFK_2022-12-28_nrt.stac-item
2022-12-29 11:47:29	ga_s2bm_ard_3-2-1_50HPF_2022-12-29_nrt.stac-item

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