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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JTF_2017-11-12_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLP_2017-11-28_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KZP_2018-06-07_final
2018-06-14 11:16:11	ga_s2bm_ard_3-2-1_51HYD_2018-06-14_final
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53HPB_2018-07-22_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_52JGL_2018-10-13_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JMM_2018-10-21_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXL_2018-10-25_final
2018-11-09 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2018-11-09_final
2018-11-26 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2018-11-26_final
2018-12-03 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2018-12-03_final
2019-01-06 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2019-01-06_final
2019-03-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-03-06_final
2019-03-06 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2019-03-06_final
2019-04-02 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2019-04-02_final
2019-04-25 10:26:47	ga_s2bm_ard_3-2-1_53HNC_2019-04-25_final
2019-07-20 10:44:15	ga_s2bm_ard_3-2-1_53JNN_2019-07-20_final
2019-07-25 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-07-25_final
2019-09-26 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-09-26_final
2019-09-28 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2019-09-28_final
2019-10-06 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2019-10-06_final
2019-12-09 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2019-12-09_final
2019-12-14 10:35:10	ga_s2bm_ard_3-2-1_53JMJ_2019-12-14_final
2019-12-22 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2019-12-22_final
2020-01-05 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2020-01-05_final
2020-01-18 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2020-01-18_final
2020-02-07 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2020-02-07_final
2020-02-26 11:55:46	ga_s2bm_ard_3-2-1_50JNN_2020-02-26_final
2020-03-02 11:03:02	ga_s2bm_ard_3-2-1_52KEC_2020-03-02_final
2020-03-17 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2020-03-17_final
2020-06-13 11:14:19	ga_s2bm_ard_3-2-1_52JDT_2020-06-13_final
2020-06-13 11:14:23	ga_s2bm_ard_3-2-1_52JCT_2020-06-13_final
2020-06-21 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-06-21_final
2020-07-13 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2020-07-13_final
2020-07-31 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2020-07-31_final
2020-08-07 10:25:56	ga_s2bm_ard_3-2-1_53JPF_2020-08-07_final
2020-09-02 10:44:20	ga_s2bm_ard_3-2-1_53JPM_2020-09-02_final
2020-09-10 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-09-10_final
2020-09-20 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-09-20_final
2020-12-06 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2020-12-06_final
2020-12-26 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-12-26_final
2021-01-15 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2021-01-15_final
2021-01-26 11:01:17	ga_s2bm_ard_3-2-1_52LGK_2021-01-26_final
2021-01-31 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2021-01-31_final
2021-02-06 10:36:09	ga_s2bm_ard_3-2-1_53HME_2021-02-06_final
2021-03-03 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-03-03_final
2021-03-13 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-03-13_final
2021-03-23 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-03-23_final
2021-05-23 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2021-05-23_final
2021-06-14 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2021-06-14_final
2021-06-27 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2021-06-27_final
2021-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2021-08-03_final
2021-08-10 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-08-10_final
2021-08-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-08-10_final
2021-09-08 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2021-09-08_final
2021-09-09 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-09-09_final
2021-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-09-25_final
2021-11-21 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2021-11-21_final
2021-11-22 11:00:45	ga_s2bm_ard_3-2-1_52LGM_2021-11-22_final
2021-11-25 11:14:51	ga_s2bm_ard_3-2-1_51JYL_2021-11-25_final
2022-01-15 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2022-01-15_final
2022-01-21 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-01-21_final
2022-05-01 11:04:07	ga_s2bm_ard_3-2-1_52JET_2022-05-01_final
2022-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2022-05-23_final
2022-06-08 12:03:53	ga_s2bm_ard_3-2-1_50KMA_2022-06-08_final
2022-06-15 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2022-06-15_final
2022-06-18 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-06-18_final
2022-06-19 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2022-06-19_final
2022-08-25 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2022-08-25_final
2022-08-28 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2022-08-28_final
2022-09-25 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2022-09-25_final.stac-item
2022-10-18 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2022-10-18_final.stac-item
2022-11-02 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2022-11-02_interim.stac-item
2022-11-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-11-09_final.stac-item
2022-11-23 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2022-11-23_final.stac-item
2022-12-03 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-12-03_final.stac-item
2022-12-05 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2022-12-05_final.stac-item
2022-12-16 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2022-12-16_final.stac-item
2022-12-30 11:12:13	ga_s2bm_ard_3-2-1_52KFF_2022-12-30_final.stac-item
2023-01-02 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2023-01-02_final.stac-item
2023-01-05 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2023-01-05_final.stac-item
2023-01-27 12:14:29	ga_s2bm_ard_3-2-1_49KFP_2023-01-27_nrt.stac-item
2023-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2023-02-27_final.stac-item
2023-03-23 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-03-23_final.stac-item
2023-03-30 11:14:41	ga_s2bm_ard_3-2-1_51JZM_2023-03-30_final.stac-item
2023-07-02 10:55:08	ga_s2bm_ard_3-2-1_52JFQ_2023-07-02_final.stac-item
2023-08-27 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-08-27_nrt.stac-item
2023-10-02 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2023-10-02_final.stac-item
2023-10-20 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2023-10-20_final.stac-item
2023-11-12 11:05:53	ga_s2bm_ard_3-2-1_52JCM_2023-11-12_final.stac-item
2023-11-13 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2023-11-13_final.stac-item
2023-12-28 11:21:11	ga_s2bm_ard_3-2-1_52LBL_2023-12-28_nrt.stac-item
2024-01-09 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-01-09_final.stac-item
2024-01-23 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2024-01-23_final.stac-item
2024-01-27 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2024-01-27_final.stac-item
2024-03-01 11:02:52	ga_s2bm_ard_3-2-1_52KHC_2024-03-01_final.stac-item
2024-03-04 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2024-03-04_final.stac-item
2024-03-15 10:45:35	ga_s2bm_ard_3-2-1_53JMG_2024-03-15_final.stac-item
2024-03-19 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2024-03-19_final.stac-item
2024-04-21 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2024-04-21_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