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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KXT_2017-07-05_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVT_2017-07-18_final
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_53KQQ_2017-10-28_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXT_2017-11-19_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYS_2018-05-08_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JPL_2018-05-26_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JKM_2018-06-06_final
2018-07-11 10:57:36	ga_s2bm_ard_3-2-1_52KEA_2018-07-11_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53KNP_2018-09-13_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JMN_2018-09-23_final
2018-11-17 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-17_final
2018-11-20 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-11-20_final
2018-11-27 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2018-11-27_final
2018-12-12 10:41:28	ga_s2bm_ard_3-2-1_53LQC_2018-12-12_final
2018-12-12 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2018-12-12_final
2018-12-16 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-16_final
2019-02-02 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-02-02_final
2019-02-13 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2019-02-13_final
2019-03-21 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2019-03-21_final
2019-04-16 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2019-04-16_final
2019-07-05 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-07-05_final
2019-07-17 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-17_final
2019-08-01 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-08-01_final
2019-08-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-08-17_final
2019-08-24 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2019-08-24_final
2019-09-28 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2019-09-28_final
2019-10-25 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2019-10-25_final
2019-11-24 10:33:56	ga_s2bm_ard_3-2-1_54JTT_2019-11-24_final
2019-12-25 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2019-12-25_final
2020-02-01 11:02:18	ga_s2bm_ard_3-2-1_53KKV_2020-02-01_final
2020-02-17 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2020-02-17_final
2020-03-01 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2020-03-01_final
2020-03-17 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-03-17_final
2020-04-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-04-04_final
2020-04-14 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2020-04-14_final
2020-06-01 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-06-01_final
2020-07-25 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2020-07-25_final
2020-07-31 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-07-31_final
2020-08-20 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-08-20_final
2020-08-30 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-08-30_final
2020-10-14 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2020-10-14_final
2020-11-11 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2020-11-11_final
2020-12-11 10:45:11	ga_s2bm_ard_3-2-1_53JKJ_2020-12-11_final
2020-12-28 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2020-12-28_final
2021-02-24 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-02-24_final
2021-03-01 10:41:36	ga_s2bm_ard_3-2-1_53LPC_2021-03-01_final
2021-03-23 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-03-23_final
2021-04-22 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2021-04-22_final
2021-05-12 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-05-12_final
2021-06-03 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2021-06-03_final
2021-06-10 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2021-06-10_final
2021-07-06 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2021-07-06_final
2021-08-04 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2021-08-04_final
2021-09-24 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2021-09-24_final
2021-09-29 09:47:54	ga_s2bm_ard_3-2-1_54HYB_2021-09-29_final
2021-10-10 10:52:02	ga_s2bm_ard_3-2-1_53KKB_2021-10-10_final
2021-10-14 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2021-10-14_final
2022-01-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-23_final
2022-02-01 10:33:47	ga_s2bm_ard_3-2-1_53KPP_2022-02-01_final
2022-02-13 11:11:10	ga_s2bm_ard_3-2-1_52LFK_2022-02-13_final
2022-03-16 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2022-03-16_final
2022-04-20 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2022-04-20_final
2022-05-22 10:36:10	ga_s2bm_ard_3-2-1_53HME_2022-05-22_final
2022-06-09 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2022-06-09_final
2022-06-11 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2022-06-11_final
2022-07-03 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2022-07-03_final
2022-07-10 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2022-07-10_final
2022-09-07 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-09-07_final.stac-item
2022-09-07 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2022-09-07_final.stac-item
2022-10-04 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2022-10-04_final.stac-item
2022-10-24 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2022-10-24_final.stac-item
2022-10-29 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2022-10-29_final.stac-item
2022-11-11 10:43:11	ga_s2bm_ard_3-2-1_53KMS_2022-11-11_final.stac-item
2022-11-16 09:57:07	ga_s2bm_ard_3-2-1_54HYE_2022-11-16_final.stac-item
2022-12-08 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2022-12-08_final.stac-item
2022-12-18 10:33:48	ga_s2bm_ard_3-2-1_53KQP_2022-12-18_final.stac-item
2023-01-03 10:51:24	ga_s2bm_ard_3-2-1_53LMD_2023-01-03_final.stac-item
2023-01-07 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-01-07_final.stac-item
2023-02-14 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2023-02-14_final.stac-item
2023-03-03 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2023-03-03_final.stac-item
2023-03-22 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-03-22_final.stac-item
2023-05-04 10:24:19	ga_s2bm_ard_3-2-1_54JTS_2023-05-04_final.stac-item
2023-05-12 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-05-12_final.stac-item
2023-05-27 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2023-05-27_final.stac-item
2023-05-30 10:46:10	ga_s2bm_ard_3-2-1_53HME_2023-05-30_final.stac-item
2023-06-01 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-06-01_final.stac-item
2023-08-13 11:33:58	ga_s2bm_ard_3-2-1_51KXQ_2023-08-13_final.stac-item
2023-08-22 10:24:24	ga_s2bm_ard_3-2-1_54JTS_2023-08-22_final.stac-item
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final.stac-item
2023-09-09 11:24:42	ga_s2bm_ard_3-2-1_52JBS_2023-09-09_final.stac-item
2023-09-12 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-12_final.stac-item
2023-11-02 11:03:10	ga_s2bm_ard_3-2-1_53KKS_2023-11-02_final.stac-item
2023-11-03 10:33:48	ga_s2bm_ard_3-2-1_53KRP_2023-11-03_final.stac-item
2023-11-22 11:02:12	ga_s2bm_ard_3-2-1_53KKA_2023-11-22_final.stac-item
2023-12-13 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2023-12-13_final.stac-item
2024-01-02 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2024-01-02_final.stac-item
2024-02-11 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2024-02-11_final.stac-item
2024-02-25 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2024-02-25_nrt.stac-item
2024-03-27 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2024-03-27_final.stac-item
2024-04-26 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2024-04-26_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