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
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQF_2017-09-05_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXH_2017-11-09_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53KNU_2017-11-27_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_54JXR_2017-12-15_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWJ_2017-12-29_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_53HPA_2017-12-31_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JBL_2018-01-12_final
2018-01-17 10:11:24	ga_s2bm_ard_3-2-1_54JZT_2018-01-17_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_53LKE_2018-01-22_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KQU_2018-01-26_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KTQ_2018-02-03_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVA_2018-02-23_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53KPP_2018-03-17_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HVE_2018-03-22_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNH_2018-04-04_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2018-05-31_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JEL_2018-06-08_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEU_2018-06-11_final
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53HME_2018-08-01_final
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_54HYD_2018-08-09_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52KHV_2018-11-05_final
2018-12-13 10:13:20	ga_s2bm_ard_3-2-1_54KXV_2018-12-13_final
2018-12-16 10:26:12	ga_s2bm_ard_3-2-1_53HQD_2018-12-16_final
2018-12-16 10:26:59	ga_s2bm_ard_3-2-1_53HPA_2018-12-16_final
2018-12-16 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2018-12-16_final
2019-01-01 10:40:37	ga_s2bm_ard_3-2-1_53LPG_2019-01-01_final
2019-01-29 10:02:55	ga_s2bm_ard_3-2-1_54KZB_2019-01-29_final
2019-02-03 10:50:39	ga_s2bm_ard_3-2-1_53LNG_2019-02-03_final
2019-03-13 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2019-03-13_final
2019-05-10 11:15:20	ga_s2bm_ard_3-2-1_52JDP_2019-05-10_final
2019-06-07 10:32:26	ga_s2bm_ard_3-2-1_54KTE_2019-06-07_final
2019-07-12 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-07-12_final
2019-07-29 11:16:14	ga_s2bm_ard_3-2-1_52JBL_2019-07-29_final
2019-10-15 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2019-10-15_final
2019-11-24 10:31:43	ga_s2bm_ard_3-2-1_54KUG_2019-11-24_final
2020-01-11 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-01-11_final
2020-01-23 10:30:49	ga_s2bm_ard_3-2-1_54LWK_2020-01-23_final
2020-01-23 10:31:24	ga_s2bm_ard_3-2-1_54LUH_2020-01-23_final
2020-02-04 11:12:43	ga_s2bm_ard_3-2-1_52KDD_2020-02-04_final
2020-04-19 10:26:49	ga_s2bm_ard_3-2-1_53HNB_2020-04-19_final
2020-05-11 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2020-05-11_final
2020-06-01 10:36:18	ga_s2bm_ard_3-2-1_53HLE_2020-06-01_final
2020-10-06 10:25:00	ga_s2bm_ard_3-2-1_54JVP_2020-10-06_final
2020-10-06 10:25:32	ga_s2bm_ard_3-2-1_54JUM_2020-10-06_final
2020-10-16 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-16_final
2020-10-23 10:13:57	ga_s2bm_ard_3-2-1_54JXT_2020-10-23_final
2020-10-30 10:06:23	ga_s2bm_ard_3-2-1_54HYH_2020-10-30_final
2020-11-06 11:36:25	ga_s2bm_ard_3-2-1_51HVE_2020-11-06_final
2020-11-10 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-11-10_final
2020-11-20 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2020-11-20_final
2021-01-15 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-01-15_final
2021-02-06 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-02-06_final
2021-03-16 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-03-16_final
2021-06-02 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2021-06-02_final
2021-06-16 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-06-16_final
2021-09-26 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2021-09-26_final
2021-10-11 10:23:59	ga_s2bm_ard_3-2-1_54JVT_2021-10-11_final
2021-11-18 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-11-18_final
2021-11-20 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2021-11-20_final
2022-02-12 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2022-02-12_final
2022-02-23 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2022-02-23_final
2022-04-13 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-26 10:13:35	ga_s2bm_ard_3-2-1_54KXU_2022-04-26_final
2022-04-26 10:16:57	ga_s2bm_ard_3-2-1_54HTF_2022-04-26_final
2022-06-06 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2022-06-06_final
2022-06-10 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2022-06-10_final
2022-06-27 10:52:14	ga_s2bm_ard_3-2-1_53KMA_2022-06-27_final
2022-06-29 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-06-29_final
2022-07-01 10:34:05	ga_s2bm_ard_3-2-1_54JTT_2022-07-01_final
2022-07-09 09:57:02	ga_s2bm_ard_3-2-1_54HXF_2022-07-09_final
2022-08-30 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2022-08-30_final
2022-09-10 10:06:59	ga_s2bm_ard_3-2-1_54HWF_2022-09-10_final.stac-item
2022-09-20 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2022-09-20_final.stac-item
2022-10-02 10:42:56	ga_s2bm_ard_3-2-1_53KNT_2022-10-02_final.stac-item
2022-11-29 10:07:35	ga_s2bm_ard_3-2-1_54HXC_2022-11-29_final.stac-item
2023-01-15 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2023-01-15_final.stac-item
2023-01-18 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2023-01-18_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-02-02 10:51:51	ga_s2bm_ard_3-2-1_53KMB_2023-02-02_final.stac-item
2023-02-23 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2023-02-23_final.stac-item
2023-02-25 11:01:43	ga_s2bm_ard_3-2-1_52LHH_2023-02-25_final.stac-item
2023-02-28 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2023-02-28_final.stac-item
2023-03-02 10:13:01	ga_s2bm_ard_3-2-1_54KYB_2023-03-02_final.stac-item
2023-03-05 10:26:33	ga_s2bm_ard_3-2-1_54HTH_2023-03-05_final.stac-item
2023-03-25 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2023-03-25_final.stac-item
2023-04-21 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2023-04-21_final.stac-item
2023-05-05 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-05-05_final.stac-item
2023-05-28 10:07:45	ga_s2bm_ard_3-2-1_54HWC_2023-05-28_final.stac-item
2023-07-20 10:14:19	ga_s2bm_ard_3-2-1_54JWS_2023-07-20_final.stac-item
2023-07-26 10:36:52	ga_s2bm_ard_3-2-1_53HPB_2023-07-26_final.stac-item
2023-08-02 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2023-08-02_final.stac-item
2023-09-02 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-09-02_final.stac-item
2023-09-25 10:07:44	ga_s2bm_ard_3-2-1_54HWC_2023-09-25_final.stac-item
2023-10-28 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2023-10-28_nrt.stac-item
2023-11-01 11:34:39	ga_s2bm_ard_3-2-1_50JRT_2023-11-01_final.stac-item
2023-11-02 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2023-11-02_final.stac-item
2023-11-18 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-11-18_final.stac-item
2023-11-28 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2023-11-28_final.stac-item
2024-02-18 10:22:54	ga_s2bm_ard_3-2-1_54KXB_2024-02-18_final.stac-item
2024-03-04 11:11:27	ga_s2bm_ard_3-2-1_52LFJ_2024-03-04_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

All years