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
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52JBS_2017-11-06_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-11-18_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWU_2018-01-11_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZQ_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JQM_2018-02-20_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52JBM_2018-02-21_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51HYD_2018-03-06_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JYM_2018-06-07_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPJ_2018-06-20_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNM_2018-06-26_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53HMD_2018-07-15_final
2018-08-04 10:46:10	ga_s2bm_ard_3-2-1_53HLD_2018-08-04_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUN_2018-08-29_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52JDQ_2018-10-12_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51HYD_2018-10-22_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51HUD_2018-10-28_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HQK_2018-10-31_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KBB_2018-11-01_final
2018-11-10 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2018-11-10_final
2018-12-11 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2018-12-11_final
2018-12-20 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2018-12-20_final
2019-01-16 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-01-16_final
2019-01-26 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2019-01-26_final
2019-01-28 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-28_final
2019-03-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2019-03-06_final
2019-05-06 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-05-06_final
2019-05-10 11:16:14	ga_s2bm_ard_3-2-1_52JBL_2019-05-10_final
2019-05-11 10:45:55	ga_s2bm_ard_3-2-1_52JGM_2019-05-11_final
2019-05-16 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-16_final
2019-05-18 10:36:33	ga_s2bm_ard_3-2-1_53HMD_2019-05-18_final
2019-06-08 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-08_final
2019-07-17 10:36:44	ga_s2bm_ard_3-2-1_53HNC_2019-07-17_final
2019-10-20 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-10-20_final
2019-10-24 11:01:51	ga_s2bm_ard_3-2-1_52LFH_2019-10-24_final
2020-01-05 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2020-01-05_final
2020-01-08 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-01-08_final
2020-04-07 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2020-04-07_final
2020-08-18 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2020-08-18_final
2020-08-18 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2020-08-18_final
2020-09-17 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-09-17_final
2020-09-20 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2020-09-20_final
2020-11-30 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2020-11-30_final
2020-12-09 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-12-09_final
2021-01-02 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-01-02_final
2021-01-16 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2021-01-16_final
2021-01-21 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-21_final
2021-01-22 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2021-01-22_final
2021-01-22 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2021-01-22_final
2021-02-04 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-02-04_final
2021-02-07 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-02-07_final
2021-02-18 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2021-02-18_final
2021-03-01 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-03-01_final
2021-03-12 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2021-03-12_final
2021-03-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-13_final
2021-04-11 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2021-04-11_final
2021-05-03 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2021-05-03_final
2021-06-25 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2021-06-25_final
2021-07-04 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-07-04_final
2021-07-31 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2021-07-31_final
2021-08-16 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2021-08-16_final
2021-09-03 11:03:56	ga_s2bm_ard_3-2-1_52KFU_2021-09-03_final
2021-09-18 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-09-18_final
2021-11-01 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-11-01_final
2022-01-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2022-01-17_final
2022-02-12 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2022-02-12_final
2022-03-23 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2022-03-23_final
2022-03-25 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2022-03-25_final
2022-04-30 11:33:27	ga_s2bm_ard_3-2-1_51KUS_2022-04-30_final
2022-05-31 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-05-31_final
2022-07-31 10:37:03	ga_s2bm_ard_3-2-1_53HPA_2022-07-31_final
2022-09-08 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2022-09-08_final.stac-item
2022-10-23 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-10-23_final.stac-item
2022-11-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-11-03_final.stac-item
2022-11-17 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2022-11-17_final.stac-item
2022-11-18 10:36:50	ga_s2bm_ard_3-2-1_53HNB_2022-11-18_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-11-24_final.stac-item
2022-12-20 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-12-20_final.stac-item
2023-01-29 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2023-01-29_final.stac-item
2023-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-03-06_final.stac-item
2023-03-22 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-03-22_nrt.stac-item
2023-03-29 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2023-03-29_final.stac-item
2023-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-04-08_final.stac-item
2023-04-12 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-04-12_final.stac-item
2023-04-12 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2023-04-12_final.stac-item
2023-04-13 10:54:11	ga_s2bm_ard_3-2-1_52JHT_2023-04-13_final.stac-item
2023-05-11 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-05-11_nrt.stac-item
2023-05-25 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-05-25_final.stac-item
2023-06-22 10:55:53	ga_s2bm_ard_3-2-1_52JEM_2023-06-22_final.stac-item
2023-07-22 10:53:26	ga_s2bm_ard_3-2-1_52KGB_2023-07-22_final.stac-item
2023-08-16 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2023-08-16_final.stac-item
2023-09-05 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-09-05_final.stac-item
2023-09-06 11:16:35	ga_s2bm_ard_3-2-1_51HWE_2023-09-06_final.stac-item
2023-11-25 12:50:55	ga_s2bm_ard_3-2-1_48LWP_2023-11-25_final.stac-item
2024-01-01 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2024-01-01_final.stac-item
2024-01-11 11:01:30	ga_s2bm_ard_3-2-1_52LGJ_2024-01-11_final.stac-item
2024-02-21 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2024-02-21_final.stac-item
2024-02-29 11:31:03	ga_s2bm_ard_3-2-1_52LBL_2024-02-29_nrt.stac-item
2024-03-10 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2024-03-10_final.stac-item
2024-03-19 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2024-03-19_final.stac-item
2024-03-24 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-03-24_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

Other products

All years