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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2017-08-13_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2017-08-13_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LWC_2017-12-05_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVK_2018-01-31_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWS_2018-02-20_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JWL_2018-04-11_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JBR_2018-04-25_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JCM_2018-06-01_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JXG_2018-07-07_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KHP_2018-07-22_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JKM_2018-08-05_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JVH_2018-08-19_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HMH_2018-10-04_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_52JBS_2018-10-05_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLH_2018-10-24_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEA_2018-11-01_final
2018-12-23 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2018-12-23_final
2019-02-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-02-18_final
2019-04-13 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2019-04-13_final
2019-04-26 11:32:07	ga_s2bm_ard_3-2-1_51LWC_2019-04-26_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-11 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2019-06-11_final
2019-06-21 11:56:26	ga_s2bm_ard_3-2-1_50JNL_2019-06-21_final
2019-07-04 12:06:13	ga_s2bm_ard_3-2-1_50JLM_2019-07-04_final
2019-09-30 11:23:17	ga_s2bm_ard_3-2-1_52KCB_2019-09-30_final
2019-10-03 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final
2019-12-16 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2019-12-16_final
2020-01-18 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2020-01-18_final
2020-02-04 11:13:23	ga_s2bm_ard_3-2-1_52KEA_2020-02-04_final
2020-02-24 11:15:39	ga_s2bm_ard_3-2-1_51JXH_2020-02-24_final
2020-04-20 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-04-20_final
2020-04-30 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2020-04-30_final
2020-12-07 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2020-12-07_final
2021-01-15 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2021-01-15_final
2021-02-01 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2021-02-01_final
2021-02-05 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-02-05_final
2021-03-20 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2021-03-20_final
2021-04-09 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2021-04-09_final
2021-04-16 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2021-04-16_final
2021-05-19 11:15:18	ga_s2bm_ard_3-2-1_52JCP_2021-05-19_final
2021-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-11_final
2021-06-11 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-06-11_final
2021-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-07-06_final
2021-09-15 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2021-09-15_final
2021-09-18 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-09-18_final
2021-10-02 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-10-02_final
2021-10-05 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2021-10-05_final
2021-10-10 10:53:47	ga_s2bm_ard_3-2-1_52KGV_2021-10-10_final
2021-10-19 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-19_final
2021-11-18 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2021-11-18_final
2021-11-21 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2021-11-21_final
2022-01-05 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2022-01-05_final
2022-01-13 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2022-01-13_final
2022-01-17 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2022-01-17_final
2022-01-20 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2022-01-20_final
2022-02-12 11:45:26	ga_s2bm_ard_3-2-1_50JQP_2022-02-12_final
2022-02-13 11:15:45	ga_s2bm_ard_3-2-1_52JBM_2022-02-13_final
2022-02-19 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-19_final
2022-04-04 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2022-04-04_final
2022-05-04 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-05-04_final
2022-05-29 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-05-29_final
2022-06-08 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-06-08_final
2022-06-13 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2022-06-13_final
2022-06-30 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2022-06-30_final
2022-08-08 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2022-08-08_final
2022-08-18 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2022-08-18_final
2022-09-01 11:13:02	ga_s2bm_ard_3-2-1_52KEC_2022-09-01_final.stac-item
2022-09-20 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-09-20_final.stac-item
2022-09-24 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2022-09-24_final.stac-item
2022-10-06 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-10-06_final.stac-item
2022-10-28 11:03:59	ga_s2bm_ard_3-2-1_52KFU_2022-10-28_final.stac-item
2022-10-28 11:04:31	ga_s2bm_ard_3-2-1_52JES_2022-10-28_final.stac-item
2022-11-06 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2022-11-06_final.stac-item
2022-11-23 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2022-11-23_final.stac-item
2022-12-30 11:14:01	ga_s2bm_ard_3-2-1_52KDU_2022-12-30_final.stac-item
2023-01-05 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-05_final.stac-item
2023-01-29 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2023-01-29_final.stac-item
2023-02-07 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-07_final.stac-item
2023-02-22 10:53:46	ga_s2bm_ard_3-2-1_52KGV_2023-02-22_final.stac-item
2023-03-29 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-29_final.stac-item
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-04-04_final.stac-item
2023-04-09 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-04-09_nrt.stac-item
2023-04-24 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-04-24_final.stac-item
2023-05-02 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2023-05-02_final.stac-item
2023-08-20 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-08-20_final.stac-item
2023-09-02 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2023-09-02_final.stac-item
2023-09-06 11:16:35	ga_s2bm_ard_3-2-1_51HWE_2023-09-06_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final.stac-item
2023-10-08 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-10-08_final.stac-item
2023-11-11 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2023-11-11_final.stac-item
2023-12-02 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2023-12-02_final.stac-item
2024-01-10 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2024-01-10_final.stac-item
2024-01-23 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2024-01-23_final.stac-item
2024-01-24 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2024-01-24_final.stac-item
2024-03-01 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2024-03-01_final.stac-item
2024-03-03 11:44:43	ga_s2bm_ard_3-2-1_51JUM_2024-03-03_final.stac-item
2024-03-07 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2024-03-07_final.stac-item
2024-03-07 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2024-03-07_final.stac-item
2024-03-13 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2024-03-13_final.stac-item
2024-03-13 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-13_final.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

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