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
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KUT_2017-09-23_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50KPC_2018-02-06_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JBM_2018-06-01_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KQG_2018-06-16_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51KZQ_2018-07-04_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-09-28_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUT_2018-10-01_final
2018-11-14 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2018-11-14_final
2018-11-17 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-11-17_final
2018-12-10 11:42:15	ga_s2bm_ard_3-2-1_51KWA_2018-12-10_final
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final
2019-01-16 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-01-16_final
2019-02-15 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-15_final
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item
2019-04-09 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2019-04-09_final
2019-04-23 11:23:35	ga_s2bm_ard_3-2-1_51KXS_2019-04-23_final
2019-07-18 11:47:00	ga_s2bm_ard_3-2-1_50HNJ_2019-07-18_final
2019-09-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-09-30_final
2019-10-29 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2019-10-29_final
2019-10-30 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2019-10-30_final
2019-11-02 11:34:09	ga_s2bm_ard_3-2-1_51KUP_2019-11-02_final
2019-11-06 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2019-11-06_final
2019-11-15 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2019-11-15_final.stac-item
2019-11-25 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2019-11-25_final
2019-12-02 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-02_final
2019-12-06 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2019-12-06_final
2019-12-30 10:52:47	ga_s2bm_ard_3-2-1_52KHC_2019-12-30_final
2020-01-15 11:13:56	ga_s2bm_ard_3-2-1_52KDU_2020-01-15_final
2020-02-19 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-03-08 11:21:22	ga_s2bm_ard_3-2-1_52LBK_2020-03-08_final
2020-03-08 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2020-03-08_final
2020-04-08 10:53:43	ga_s2bm_ard_3-2-1_52KGV_2020-04-08_final
2020-04-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2020-04-10_final
2020-04-24 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2020-04-24_final
2020-06-03 11:13:11	ga_s2bm_ard_3-2-1_52KDC_2020-06-03_final
2020-06-11 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-06-11_final
2020-07-26 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2020-07-26_final
2020-07-29 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-07-29_final
2020-08-09 11:02:29	ga_s2bm_ard_3-2-1_52KHE_2020-08-09_final
2020-11-03 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-11-03_final
2020-12-26 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-12-26_final
2021-01-25 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-25_final
2021-01-25 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-01-25_final
2021-02-14 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-02-14_final
2021-03-03 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-03_final
2021-03-16 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-03-16_final
2021-04-22 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2021-04-22_final
2021-04-25 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2021-04-25_final
2021-08-07 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-08-07_final
2021-09-02 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2021-09-02_final
2021-09-16 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2021-09-16_final
2021-10-02 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-10-02_final
2021-10-12 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-12_final
2021-10-29 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-10-29_final
2021-11-08 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-11-08_final
2022-02-16 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2022-02-16_final
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final
2022-03-31 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-03-31_final
2022-03-31 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-03-31_final
2022-04-17 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-04-17_final
2022-05-03 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-05-03_final
2022-05-23 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-05-23_final
2022-05-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-05-23_final
2022-05-27 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2022-05-27_final
2022-06-30 11:02:43	ga_s2bm_ard_3-2-1_52KHD_2022-06-30_final
2022-07-05 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-05_final.stac-item
2022-07-13 11:14:12	ga_s2bm_ard_3-2-1_52JET_2022-07-13_final
2022-07-26 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2022-07-26_final
2022-09-14 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2022-09-14_final.stac-item
2022-11-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2022-11-02_final.stac-item
2022-11-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2022-11-13_final.stac-item
2022-11-26 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-11-26_final.stac-item
2022-12-09 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-12-09_final.stac-item
2022-12-23 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-12-23_final.stac-item
2022-12-26 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-12-26_final.stac-item
2022-12-30 11:14:59	ga_s2bm_ard_3-2-1_52JDQ_2022-12-30_final.stac-item
2023-01-02 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2023-01-02_final.stac-item
2023-01-15 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-01-15_final.stac-item
2023-01-29 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2023-01-29_final.stac-item
2023-02-25 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2023-02-25_final.stac-item
2023-03-20 11:11:53	ga_s2bm_ard_3-2-1_52KGG_2023-03-20_final.stac-item
2023-03-27 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2023-03-27_final.stac-item
2023-04-12 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-04-12_final.stac-item
2023-04-18 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2023-04-18_final.stac-item
2023-04-29 11:15:06	ga_s2bm_ard_3-2-1_52JCQ_2023-04-29_final.stac-item
2023-05-09 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2023-05-09_final.stac-item
2023-06-04 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2023-06-04_final.stac-item
2023-06-11 11:23:08	ga_s2bm_ard_3-2-1_52KCC_2023-06-11_final.stac-item
2023-06-15 11:04:13	ga_s2bm_ard_3-2-1_52KDU_2023-06-15_final.stac-item
2023-06-24 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-06-24_final.stac-item
2023-07-27 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2023-07-27_final.stac-item
2023-08-06 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-08-06_final.stac-item
2023-09-02 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-09-02_final.stac-item
2023-09-26 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2023-09-26_final.stac-item
2023-12-01 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-12-01_final.stac-item
2024-01-24 11:12:45	ga_s2bm_ard_3-2-1_52KED_2024-01-24_final.stac-item
2024-02-02 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2024-02-02_final.stac-item
2024-02-19 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2024-02-19_final.stac-item
2024-02-26 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2024-02-26_final.stac-item
2024-04-02 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2024-04-02_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