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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-09-22_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JNR_2018-01-14_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPN_2018-01-14_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52KCA_2018-01-25_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDQ_2018-02-01_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KCA_2018-02-14_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLP_2018-02-26_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KBA_2018-05-05_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KZR_2018-06-07_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HQK_2018-07-03_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JNM_2018-08-15_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKR_2018-08-28_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JWM_2018-08-29_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JUG_2018-10-15_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_51KZS_2018-11-01_final
2018-11-11 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2018-11-11_final
2019-01-20 11:14:46	ga_s2bm_ard_3-2-1_52JDR_2019-01-20_final
2019-03-03 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2019-03-03_final
2019-03-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-03-06_final
2019-03-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2019-03-10_final
2019-03-24 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2019-03-24_final
2019-03-31 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2019-03-31_final
2019-04-06 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-04-06_final.stac-item
2019-04-29 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-04-29_final
2019-06-08 11:42:06	ga_s2bm_ard_3-2-1_51LVC_2019-06-08_final
2019-08-18 11:16:50	ga_s2bm_ard_3-2-1_51HWD_2019-08-18_final
2019-08-28 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-08-28_final
2019-11-30 10:54:21	ga_s2bm_ard_3-2-1_52JHS_2019-11-30_final
2019-12-25 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2019-12-25_final
2020-01-07 11:55:59	ga_s2bm_ard_3-2-1_50JNM_2020-01-07_final
2020-02-04 11:15:59	ga_s2bm_ard_3-2-1_52JBL_2020-02-04_final
2020-03-02 11:05:42	ga_s2bm_ard_3-2-1_52JEM_2020-03-02_final
2020-04-30 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-04-30_final
2020-08-26 10:55:02	ga_s2bm_ard_3-2-1_52JGQ_2020-08-26_final
2020-10-05 10:54:33	ga_s2bm_ard_3-2-1_52JGS_2020-10-05_final
2020-11-16 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2020-11-16_final
2020-11-20 11:15:11	ga_s2bm_ard_3-2-1_51JYK_2020-11-20_final
2020-11-30 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2020-11-30_final
2020-12-09 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2020-12-09_final
2021-01-16 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2021-01-16_final
2021-02-27 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-02-27_final
2021-03-03 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-03-03_final
2021-03-03 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-03-03_final
2021-04-11 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-04-11_final
2021-05-05 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2021-05-05_final
2021-06-21 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2021-06-21_final
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final
2021-07-20 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-07-20_final
2021-07-31 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2021-07-31_final
2021-08-09 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2021-08-09_final
2021-09-01 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-09-01_final
2021-09-02 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-09-02_final
2021-09-03 11:04:21	ga_s2bm_ard_3-2-1_52JGS_2021-09-03_final
2021-09-09 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2021-09-09_final
2021-10-18 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-10-18_final
2021-10-23 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2021-10-23_final
2021-11-18 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2021-11-18_final
2021-11-18 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2021-11-18_final
2022-02-02 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-02_final
2022-05-04 11:13:28	ga_s2bm_ard_3-2-1_52KDA_2022-05-04_final
2022-05-12 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-05-12_final
2022-05-30 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2022-05-30_final
2022-05-31 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2022-05-31_final
2022-06-16 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2022-06-16_final
2022-07-07 10:55:03	ga_s2bm_ard_3-2-1_52JGQ_2022-07-07_final
2022-07-18 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-07-18_final
2022-08-31 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2022-08-31_final
2022-09-03 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2022-09-03_final.stac-item
2022-09-04 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2022-09-04_final.stac-item
2022-10-01 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-10-01_final.stac-item
2022-10-18 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2022-10-18_final.stac-item
2022-11-03 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2022-11-03_final.stac-item
2022-11-09 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-11-09_interim.stac-item
2022-11-12 13:31:38	ga_s2bm_ard_3-2-1_47LKG_2022-11-12_interim.stac-item
2022-11-23 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2022-11-23_final.stac-item
2022-12-15 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-02-01 11:21:08	ga_s2bm_ard_3-2-1_51LZF_2023-02-01_nrt.stac-item
2023-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2023-02-11_final.stac-item
2023-02-24 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2023-02-24_final.stac-item
2023-05-05 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-05-05_final.stac-item
2023-06-26 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-26_final.stac-item
2023-08-16 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-08-16_final.stac-item
2023-08-29 11:57:18	ga_s2bm_ard_3-2-1_50HKH_2023-08-29_nrt.stac-item
2023-08-31 10:55:47	ga_s2bm_ard_3-2-1_52JGM_2023-08-31_final.stac-item
2023-10-12 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2023-10-12_final.stac-item
2023-12-14 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-12-14_final.stac-item
2023-12-23 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-23_final.stac-item
2024-02-26 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-02-26_final.stac-item
2024-03-06 11:53:31	ga_s2bm_ard_3-2-1_50KNB_2024-03-06_final.stac-item
2024-03-07 11:24:39	ga_s2bm_ard_3-2-1_51JWM_2024-03-07_final.stac-item
2024-03-07 11:26:35	ga_s2bm_ard_3-2-1_51HWD_2024-03-07_final.stac-item
2024-03-08 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2024-03-08_final.stac-item
2024-03-13 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2024-03-13_final.stac-item
2024-03-14 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2024-03-14_final.stac-item
2024-03-24 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2024-03-24_final.stac-item
2024-04-25 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2024-04-25_final.stac-item
2024-05-03 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-05-03_final.stac-item
2024-05-22 11:44:19	ga_s2bm_ard_3-2-1_50KQU_2024-05-22_final.stac-item
2024-05-30 11:04:14	ga_s2bm_ard_3-2-1_52JFT_2024-05-30_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