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
2017-07-07 12:13:43	ga_s2bm_ard_3-2-1_50KKA_2017-07-07_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKQ_2017-07-24_final
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_50KKA_2017-07-27_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPJ_2017-09-16_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51HVD_2017-10-20_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPJ_2017-12-05_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51HTC_2017-12-22_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KQC_2017-12-28_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKN_2017-12-31_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JLL_2018-03-18_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKP_2018-03-31_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KRD_2018-04-14_final
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KNC_2018-04-27_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-19_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-03_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKT_2018-07-19_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HWD_2018-08-03_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-08-08_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KLU_2018-09-27_final
2018-11-16 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2018-11-16_final
2019-01-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-01-22_final
2019-02-11 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2019-02-11_final.stac-item
2019-02-21 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-02-21_final
2019-03-13 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2019-03-13_final
2019-04-06 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2019-04-06_final
2019-05-02 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-05-02_final
2019-05-12 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-05-12_final
2019-05-22 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2019-05-22_final
2019-06-04 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-04_final
2019-06-05 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-06-05_final.stac-item
2019-06-11 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-11_final
2019-07-31 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-07-31_final
2019-08-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2019-08-23_final
2019-08-26 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-08-26_final
2019-09-12 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-09-12_final
2019-11-18 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2019-11-18_final
2019-11-21 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-11-21_final
2019-12-15 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2019-12-15_final
2020-01-07 11:53:41	ga_s2bm_ard_3-2-1_50KQA_2020-01-07_final
2020-04-03 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-04-03_final
2020-04-06 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2020-04-06_final
2020-04-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-04-13_final
2020-06-18 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final
2020-08-31 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-31_final
2020-09-10 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2020-09-10_final
2020-11-15 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-11-15_final
2020-11-22 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2020-11-22_final
2021-01-17 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final
2021-01-31 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-01-31_final
2021-03-26 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-03-26_final
2021-04-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-04-07_final
2021-04-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2021-04-07_final
2021-04-14 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2021-04-14_final
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final.stac-item
2021-05-11 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-05-11_final
2021-06-13 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-13_final
2021-06-20 11:53:58	ga_s2bm_ard_3-2-1_50KMA_2021-06-20_final
2021-07-23 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2021-07-23_final
2021-08-06 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2021-08-06_final
2021-08-09 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-08-09_final
2021-08-12 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-08-12_final
2021-08-29 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-08-29_final
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-09-21_final
2021-11-10 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-11-10_final
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2021-12-31 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-31_final
2022-01-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-01-10_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-01-29_final
2022-02-12 11:45:05	ga_s2bm_ard_3-2-1_50JNR_2022-02-12_final
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-04-09 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2022-04-09_final
2022-04-26 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-04-26_final
2022-05-07 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2022-05-07_final
2022-05-09 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2022-05-09_final
2022-05-26 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-05-26_final
2022-06-08 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2022-06-08_final
2022-06-18 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-06-18_final
2022-08-10 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2022-08-10_final
2022-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-27_final.stac-item
2022-11-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-08_final.stac-item
2023-02-23 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2023-02-23_final.stac-item
2023-05-08 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-05-08_final.stac-item
2023-07-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-07_final.stac-item
2023-07-17 11:43:27	ga_s2bm_ard_3-2-1_50KQC_2023-07-17_final.stac-item
2023-07-26 12:14:37	ga_s2bm_ard_3-2-1_49KFP_2023-07-26_nrt.stac-item
2023-09-08 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-09-08_final.stac-item
2023-09-08 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-09-08_final.stac-item
2023-10-02 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-10-02_final.stac-item
2023-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-08_final.stac-item
2023-10-31 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-10-31_final.stac-item
2023-11-14 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2023-11-14_final.stac-item
2023-12-17 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2023-12-17_final.stac-item
2023-12-27 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-12-27_final.stac-item
2024-01-26 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2024-01-26_final.stac-item
2024-03-09 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2024-03-09_final.stac-item
2024-03-30 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2024-03-30_final.stac-item
2024-04-18 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2024-04-18_final.stac-item
2024-04-25 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-04-25_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