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
2023-03-28 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-03-28_final.stac-item
2023-03-28 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-03-28_final.stac-item
2023-03-28 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-03-28_final.stac-item
2023-03-28 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-28_final.stac-item
2023-03-28 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2023-03-28_final.stac-item
2023-03-28 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-28_final.stac-item
2023-03-28 12:14:34	ga_s2bm_ard_3-2-1_49JHN_2023-03-28_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-03-28 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-03-28_final.stac-item
2023-03-28 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-03-28_final.stac-item
2023-03-29 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-03-29_final.stac-item
2023-03-29 11:43:12	ga_s2bm_ard_3-2-1_50KQD_2023-03-29_final.stac-item
2023-03-29 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2023-03-29_final.stac-item
2023-03-29 11:43:39	ga_s2bm_ard_3-2-1_50KQB_2023-03-29_final.stac-item
2023-03-29 11:43:54	ga_s2bm_ard_3-2-1_50KQA_2023-03-29_final.stac-item
2023-03-29 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2023-03-29_final.stac-item
2023-03-29 11:44:23	ga_s2bm_ard_3-2-1_50KQU_2023-03-29_final.stac-item
2023-03-29 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-29_final.stac-item
2023-03-29 11:44:41	ga_s2bm_ard_3-2-1_50JPT_2023-03-29_final.stac-item
2023-03-29 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2023-03-29_final.stac-item
2023-03-29 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2023-03-29_final.stac-item
2023-03-29 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-03-29_final.stac-item
2023-03-29 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-03-29_final.stac-item
2023-03-29 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2023-03-29_final.stac-item
2023-03-29 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2023-03-29_final.stac-item
2023-03-29 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2023-03-29_final.stac-item
2023-03-29 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2023-03-29_final.stac-item
2023-03-29 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2023-03-29_final.stac-item
2023-03-29 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2023-03-29_final.stac-item
2023-03-29 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-03-29_final.stac-item
2023-03-29 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2023-03-29_final.stac-item
2023-03-29 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-03-29_final.stac-item
2023-03-29 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-03-29_final.stac-item
2023-03-29 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-03-29_final.stac-item
2023-03-29 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-29_final.stac-item
2023-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-03-29_final.stac-item
2023-03-29 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-03-29_final.stac-item
2023-03-29 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-03-29_final.stac-item
2023-03-29 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-29_final.stac-item
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final.stac-item
2023-03-30 11:14:59	ga_s2bm_ard_3-2-1_51JYL_2023-03-30_final.stac-item
2023-03-30 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2023-03-30_final.stac-item
2023-03-30 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2023-03-30_final.stac-item
2023-03-30 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2023-03-30_final.stac-item
2023-04-01 11:52:41	ga_s2bm_ard_3-2-1_50KPF_2023-04-01_final.stac-item
2023-04-01 11:53:02	ga_s2bm_ard_3-2-1_50KRD_2023-04-01_final.stac-item
2023-04-01 11:53:06	ga_s2bm_ard_3-2-1_50KQD_2023-04-01_final.stac-item
2023-04-01 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2023-04-01_final.stac-item
2023-04-01 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-04-01_final.stac-item
2023-04-01 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-04-01_final.stac-item
2023-04-01 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2023-04-01_final.stac-item
2023-04-01 11:53:35	ga_s2bm_ard_3-2-1_50KQB_2023-04-01_final.stac-item
2023-04-01 11:53:39	ga_s2bm_ard_3-2-1_50KPB_2023-04-01_final.stac-item
2023-04-01 11:53:46	ga_s2bm_ard_3-2-1_50KMB_2023-04-01_final.stac-item
2023-04-01 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2023-04-01_final.stac-item
2023-04-01 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2023-04-01_final.stac-item
2023-04-01 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2023-04-01_final.stac-item
2023-04-01 11:53:57	ga_s2bm_ard_3-2-1_50KQA_2023-04-01_final.stac-item
2023-04-01 11:54:00	ga_s2bm_ard_3-2-1_50KNA_2023-04-01_final.stac-item
2023-04-01 11:54:01	ga_s2bm_ard_3-2-1_50KMA_2023-04-01_final.stac-item
2023-04-01 11:54:04	ga_s2bm_ard_3-2-1_50KQV_2023-04-01_final.stac-item
2023-04-01 11:54:15	ga_s2bm_ard_3-2-1_50KMV_2023-04-01_final.stac-item
2023-04-01 11:54:17	ga_s2bm_ard_3-2-1_50KQU_2023-04-01_final.stac-item
2023-04-01 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2023-04-01_final.stac-item
2023-04-01 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-04-01_final.stac-item
2023-04-01 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2023-04-01_final.stac-item
2023-04-01 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2023-04-01_final.stac-item
2023-04-01 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2023-04-01_final.stac-item
2023-04-01 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2023-04-01_final.stac-item
2023-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2023-04-01_final.stac-item
2023-04-01 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2023-04-01_final.stac-item
2023-04-01 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-04-01_final.stac-item
2023-04-01 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2023-04-01_final.stac-item
2023-04-01 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-04-01_final.stac-item
2023-04-01 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-04-01_final.stac-item
2023-04-01 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-04-01_final.stac-item
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final.stac-item
2023-04-01 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-04-01_final.stac-item
2023-04-01 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2023-04-01_final.stac-item
2023-04-01 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-04-01_final.stac-item
2023-04-01 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2023-04-01_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final.stac-item
2023-04-02 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2023-04-02_final.stac-item
2023-04-02 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2023-04-02_final.stac-item
2023-04-02 11:26:08	ga_s2bm_ard_3-2-1_51JUG_2023-04-02_final.stac-item
2023-04-02 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2023-04-02_final.stac-item
2023-04-02 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-04-02_final.stac-item
2023-04-02 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2023-04-02_final.stac-item
2023-04-02 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-04-02_final.stac-item
2023-04-02 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-04-02_final.stac-item
2023-04-02 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2023-04-02_final.stac-item
2023-04-02 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2023-04-02_final.stac-item
2023-04-02 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-04-02_final.stac-item
2023-04-02 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2023-04-02_final.stac-item
2023-04-11 11:51:09	ga_s2bm_ard_3-2-1_50LQM_2023-04-11_nrt.stac-item
2023-04-11 11:52:07	ga_s2bm_ard_3-2-1_50LQH_2023-04-11_nrt.stac-item
2023-04-11 11:52:46	ga_s2bm_ard_3-2-1_50KRE_2023-04-11_nrt.stac-item
2023-04-11 11:52:56	ga_s2bm_ard_3-2-1_50KNE_2023-04-11_nrt.stac-item
2023-04-11 11:57:01	ga_s2bm_ard_3-2-1_49HGD_2023-04-11_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

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