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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLU_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-14_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPG_2017-08-27_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-11_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-12-21_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JXN_2018-02-10_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JPR_2018-03-08_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KPU_2018-04-07_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50KKB_2018-07-29_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLQ_2018-09-04_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-23 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2018-11-23_final
2018-11-24 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2018-11-24_final
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final
2019-02-25 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2019-02-25_final
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final
2019-05-16 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2019-05-16_final
2019-05-23 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-05-23_final
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final
2019-06-15 11:37:28	ga_s2bm_ard_3-2-1_50HPG_2019-06-15_final.stac-item
2019-06-24 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-06-24_final
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-06-24_final
2019-07-11 11:54:28	ga_s2bm_ard_3-2-1_50KPU_2019-07-11_final
2019-07-24 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-07-24_final
2019-07-25 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-07-25_final
2019-08-21 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2019-08-21_final
2019-09-03 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2019-09-03_final
2019-09-19 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2019-09-19_final
2019-11-08 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2019-11-08_final
2019-11-12 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2019-11-12_final.stac-item
2020-02-29 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2020-02-29_final
2020-03-07 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-25 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-03-25_final
2020-03-31 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-03-31_final
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final
2020-05-06 11:55:36	ga_s2bm_ard_3-2-1_50JMP_2020-05-06_final
2020-06-28 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-06-28_final
2020-07-18 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2020-07-18_final
2020-08-04 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-08-04_final
2020-08-08 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-08_final
2020-08-18 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2020-08-18_final
2020-09-06 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2020-09-06_final
2020-09-16 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2020-09-16_final
2020-10-10 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-10_final
2020-11-02 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2020-11-02_final
2020-11-12 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-11-12_final
2020-11-16 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2020-11-16_final
2020-11-29 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2020-11-29_final
2020-12-03 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2020-12-03_final
2020-12-26 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2020-12-26_final
2020-12-29 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-12-29_final
2021-01-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-01-18_final
2021-03-10 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2021-03-10_final
2021-05-18 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2021-05-18_final
2021-06-23 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-23_final
2021-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2021-09-19_final.stac-item
2021-09-28 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-09-28_final
2021-10-11 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-11_final
2021-10-11 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-10-11_final
2021-10-28 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-28_final
2021-10-31 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2021-10-31_final
2021-12-20 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-20_final
2022-01-09 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2022-01-09_final
2022-03-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-20_final
2022-04-03 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-04-03_final
2022-05-10 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-05-10_final
2022-07-05 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2022-07-05_final
2022-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-07-05_final
2022-07-08 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-08_final
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final
2022-08-08 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2022-08-08_final
2022-08-22 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2022-08-22_final
2022-10-24 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-10-24_final.stac-item
2022-12-22 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-12-22_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-02-06_final.stac-item
2023-02-07 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-07_final.stac-item
2023-02-27 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-02-27_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_50KKU_2023-03-15_final.stac-item
2023-03-19 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2023-03-19_final.stac-item
2023-04-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-04-05_final.stac-item
2023-04-24 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2023-04-24_final.stac-item
2023-06-03 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2023-06-03_final.stac-item
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-06-21_final.stac-item
2023-07-14 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2023-07-14_final.stac-item
2023-08-29 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-08-29_final.stac-item
2023-08-30 11:24:49	ga_s2bm_ard_3-2-1_51JYM_2023-08-30_final.stac-item
2023-09-02 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-09-02_final.stac-item
2023-10-29 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-10-29_final.stac-item
2023-12-14 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-12-14_final.stac-item
2023-12-24 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-12-24_final.stac-item
2024-01-16 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-01-16_final.stac-item
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2024-01-19_final.stac-item
2024-01-19 12:04:06	ga_s2bm_ard_3-2-1_50KMV_2024-01-19_final.stac-item
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2024-03-12_final.stac-item
2024-03-17 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-03-17_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