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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGR_2017-08-02_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53HME_2017-08-09_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KBV_2017-09-27_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HPC_2017-11-01_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52KBU_2017-11-06_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KEV_2017-12-16_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBF_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50HPH_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52KCD_2018-02-24_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUU_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMK_2018-04-07_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JGK_2018-05-03_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HNC_2018-06-19_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_50JPR_2018-07-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPP_2018-07-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWR_2018-07-10_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KDC_2018-07-24_final
2018-08-30 11:06:14	ga_s2bm_ard_3-2-1_51HYD_2018-08-30_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52HBK_2018-09-19_final
2019-03-13 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-03-13_final
2019-03-14 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2019-03-14_final
2019-03-28 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2019-03-28_final
2019-03-31 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2019-03-31_final
2019-04-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-04-03_final
2019-04-03 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2019-04-03_final
2019-04-29 11:42:16	ga_s2bm_ard_3-2-1_51KWB_2019-04-29_final
2019-05-14 10:54:09	ga_s2bm_ard_3-2-1_52KGU_2019-05-14_final
2019-05-20 11:13:42	ga_s2bm_ard_3-2-1_52KDA_2019-05-20_final
2019-06-18 11:41:26	ga_s2bm_ard_3-2-1_51LUF_2019-06-18_final
2019-08-18 11:15:28	ga_s2bm_ard_3-2-1_52JBP_2019-08-18_final
2019-10-20 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2019-10-20_final
2019-10-26 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2019-10-26_final
2019-11-01 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-11-01_final
2019-11-02 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2019-11-02_final
2019-12-06 11:12:47	ga_s2bm_ard_3-2-1_52KCD_2019-12-06_final
2019-12-12 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2019-12-12_final
2020-01-30 12:05:57	ga_s2bm_ard_3-2-1_50JLM_2020-01-30_final
2020-01-31 11:32:25	ga_s2bm_ard_3-2-1_51KVA_2020-01-31_final
2020-03-14 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2020-03-14_final
2020-04-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-04-17_final
2020-06-09 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2020-06-09_final
2020-07-20 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2020-07-20_final
2020-07-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-07-29_final
2020-08-11 11:44:44	ga_s2bm_ard_3-2-1_51JUM_2020-08-11_final
2020-08-27 10:26:25	ga_s2bm_ard_3-2-1_53HPD_2020-08-27_final
2020-09-17 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-09-17_final
2020-10-16 10:26:57	ga_s2bm_ard_3-2-1_53HNB_2020-10-16_final
2020-11-18 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2020-11-18_final
2020-12-07 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2020-12-07_final
2020-12-09 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-12-09_final
2020-12-10 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-12-10_final
2020-12-13 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2020-12-13_final
2021-01-22 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2021-01-22_final
2021-01-25 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-01-25_final
2021-02-24 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2021-02-24_final
2021-03-10 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2021-03-10_final
2021-03-19 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-03-19_final
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final
2021-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-10-25 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2021-10-25_final
2021-11-22 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2021-11-22_final
2022-01-14 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2022-01-14_final
2022-01-18 10:55:00	ga_s2bm_ard_3-2-1_52JFQ_2022-01-18_final
2022-01-19 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-01-19_final
2022-02-05 11:53:26	ga_s2bm_ard_3-2-1_50KQB_2022-02-05_final
2022-02-20 11:04:10	ga_s2bm_ard_3-2-1_52JET_2022-02-20_final
2022-04-25 10:46:18	ga_s2bm_ard_3-2-1_53HLD_2022-04-25_final
2022-04-29 12:03:37	ga_s2bm_ard_3-2-1_50KNA_2022-04-29_final
2022-05-10 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-05-10_final
2022-07-06 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2022-07-06_final
2022-07-10 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2022-07-10_final
2022-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2022-07-16_final
2022-08-01 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2022-08-01_final
2022-08-11 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-08-11_final
2022-09-03 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2022-09-03_final.stac-item
2022-12-16 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-12-16_final.stac-item
2023-01-02 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-01-02_final.stac-item
2023-01-12 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2023-01-12_final.stac-item
2023-02-24 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-02-24_final.stac-item
2023-02-28 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2023-02-28_final.stac-item
2023-02-28 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2023-02-28_final.stac-item
2023-06-06 10:36:40	ga_s2bm_ard_3-2-1_53HNC_2023-06-06_final.stac-item
2023-07-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-20_final.stac-item
2023-08-03 11:34:54	ga_s2bm_ard_3-2-1_50JRS_2023-08-03_final.stac-item
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2023-08-15_final.stac-item
2023-10-18 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-10-18_final.stac-item
2023-10-19 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2023-10-19_final.stac-item
2023-11-04 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2023-11-04_final.stac-item
2023-11-11 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-11-11_final.stac-item
2023-11-15 11:11:34	ga_s2bm_ard_3-2-1_52LEJ_2023-11-15_final.stac-item
2024-01-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2024-01-04_final.stac-item
2024-01-06 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2024-01-06_final.stac-item
2024-01-23 11:44:04	ga_s2bm_ard_3-2-1_50KQV_2024-01-23_final.stac-item
2024-01-24 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2024-01-24_final.stac-item
2024-01-29 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2024-01-29_final.stac-item
2024-03-13 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2024-03-13_final.stac-item
2024-03-14 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2024-03-14_final.stac-item
2024-04-03 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2024-04-03_final.stac-item
2024-04-10 11:02:18	ga_s2bm_ard_3-2-1_52KFF_2024-04-10_final.stac-item
2024-05-09 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2024-05-09_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