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
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZT_2017-12-09_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWS_2018-01-01_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KTT_2018-01-14_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51KZU_2018-02-27_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JTH_2018-03-02_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KYV_2018-03-19_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWV_2018-05-01_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KXR_2018-06-30_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWQ_2018-07-10_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JYJ_2018-07-27_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUU_2018-09-01_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVR_2018-10-28_final
2018-11-11 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2018-11-11_final
2018-12-15 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2018-12-15_final
2019-02-28 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2019-02-28_final
2019-03-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-03-06_final
2019-04-26 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-04-26_final
2019-05-26 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-26_final
2019-05-30 11:13:21	ga_s2bm_ard_3-2-1_52KCC_2019-05-30_final
2019-07-12 11:23:29	ga_s2bm_ard_3-2-1_52KBB_2019-07-12_final
2019-08-31 11:22:55	ga_s2bm_ard_3-2-1_52KBD_2019-08-31_final
2019-09-26 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-09-26_final
2019-10-07 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2019-10-07_final
2019-11-02 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-11-02_final
2019-12-01 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-01_final
2019-12-12 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-12_final
2019-12-16 11:15:59	ga_s2bm_ard_3-2-1_52JCL_2019-12-16_final
2020-01-14 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2020-01-14_final
2020-03-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-20_final
2020-05-14 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2020-05-14_final
2020-05-20 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-05-20_final
2020-05-30 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-05-30_final
2020-06-03 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2020-06-03_final
2020-07-16 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2020-07-16_final
2020-08-05 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-08-05_final
2020-09-07 11:33:09	ga_s2bm_ard_3-2-1_51KYT_2020-09-07_final
2020-10-01 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2020-10-01_final
2020-10-20 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-20_final
2020-11-05 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-11-05_final
2020-11-26 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2020-11-26_final
2020-11-29 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2020-11-29_final
2021-01-22 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2021-01-22_final
2021-01-26 11:03:26	ga_s2bm_ard_3-2-1_52KEB_2021-01-26_final
2021-02-08 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2021-02-08_final
2021-03-02 11:53:55	ga_s2bm_ard_3-2-1_50KMA_2021-03-02_final
2021-03-09 11:42:34	ga_s2bm_ard_3-2-1_51KVV_2021-03-09_final
2021-03-22 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-03-22_final
2021-04-02 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-04-02_final
2021-04-10 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2021-04-10_final
2021-04-18 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-04-18_final
2021-04-28 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-04-28_final
2021-05-05 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2021-05-05_final
2021-08-17 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2021-08-17_final
2021-10-15 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2021-10-15_final
2021-12-29 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2021-12-29_final
2022-01-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2022-01-20_final
2022-01-28 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2022-01-28_final
2022-02-06 11:23:00	ga_s2bm_ard_3-2-1_52KBC_2022-02-06_final
2022-04-03 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2022-04-03_final.stac-item
2022-04-30 11:32:56	ga_s2bm_ard_3-2-1_51KYT_2022-04-30_final
2022-05-10 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-05-10_final
2022-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2022-05-20_final
2022-05-29 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final
2022-06-22 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2022-06-22_final
2022-07-30 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2022-07-30_final
2022-08-02 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2022-08-02_final
2022-08-25 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2022-08-25_final
2022-08-31 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2022-08-31_final
2022-09-27 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-09-27_final.stac-item
2022-10-02 10:46:05	ga_s2bm_ard_3-2-1_53HME_2022-10-02_final.stac-item
2022-10-12 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-10-12_final.stac-item
2022-10-18 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-10-18_final.stac-item
2023-01-05 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2023-01-05_nrt.stac-item
2023-01-21 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2023-01-21_final.stac-item
2023-01-26 11:06:32	ga_s2bm_ard_3-2-1_52HBJ_2023-01-26_nrt.stac-item
2023-02-07 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2023-02-07_final.stac-item
2023-02-18 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2023-02-18_final.stac-item
2023-02-18 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2023-02-18_final.stac-item
2023-02-25 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2023-02-25_final.stac-item
2023-02-25 11:02:52	ga_s2bm_ard_3-2-1_52KED_2023-02-25_final.stac-item
2023-05-16 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-05-16_final.stac-item
2023-05-28 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-05-28_final.stac-item
2023-05-28 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-05-28_final.stac-item
2023-07-06 10:37:04	ga_s2bm_ard_3-2-1_53HPA_2023-07-06_final.stac-item
2023-07-15 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2023-07-15_final.stac-item
2023-08-07 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-08-07_final.stac-item
2023-10-04 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2023-10-04_final.stac-item
2023-11-21 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-11-21_final.stac-item
2023-12-18 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2023-12-18_final.stac-item
2023-12-27 11:52:27	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final.stac-item
2024-01-04 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2024-01-04_final.stac-item
2024-01-20 11:31:52	ga_s2bm_ard_3-2-1_51LYC_2024-01-20_final.stac-item
2024-02-02 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2024-02-02_final.stac-item
2024-02-03 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2024-02-03_final.stac-item
2024-02-09 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2024-02-09_final.stac-item
2024-03-10 11:35:11	ga_s2bm_ard_3-2-1_51JUK_2024-03-10_final.stac-item
2024-03-14 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2024-03-14_final.stac-item
2024-03-20 11:31:29	ga_s2bm_ard_3-2-1_52LBJ_2024-03-20_final.stac-item
2024-03-30 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-03-30_final.stac-item
2024-04-13 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-04-13_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