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
2017-08-14 09:55:52	ga_s2bm_ard_3-2-1_55HDC_2017-08-14_final
2017-08-17 10:06:38	ga_s2bm_ard_3-2-1_54HWC_2017-08-17_final
2017-10-21 10:47:11	ga_s2bm_ard_3-2-1_53KKU_2017-10-21_final
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HNB_2017-10-22_final
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55GFR_2017-11-06_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54HYD_2018-01-14_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52KFF_2018-02-11_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_54KUF_2018-03-24_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPC_2018-05-07_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUU_2018-05-24_final
2018-07-19 12:02:47	ga_s2bm_ard_3-2-1_50KNC_2018-07-19_final
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54JTP_2018-08-08_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HDB_2018-09-28_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52JCM_2018-10-02_final
2018-10-25 09:44:53	ga_s2bm_ard_3-2-1_54HYB_2018-10-25_final
2018-11-06 10:19:42	ga_s2bm_ard_3-2-1_54LXQ_2018-11-06_final
2018-11-14 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2018-11-14_final
2018-12-26 10:24:30	ga_s2bm_ard_3-2-1_54JTR_2018-12-26_final
2019-01-06 09:56:14	ga_s2bm_ard_3-2-1_55HDC_2019-01-06_final
2019-01-16 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2019-01-16_final
2019-02-01 10:14:20	ga_s2bm_ard_3-2-1_54JVS_2019-02-01_final
2019-03-17 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2019-03-17_final
2019-04-23 11:25:16	ga_s2bm_ard_3-2-1_51JXK_2019-04-23_final
2019-05-09 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-09_final.stac-item
2019-10-15 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2019-10-15_final
2019-10-29 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2019-10-29_final
2019-11-19 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2019-11-19_final
2019-12-06 11:15:27	ga_s2bm_ard_3-2-1_52JCN_2019-12-06_final
2019-12-19 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-12-19_final
2019-12-22 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2019-12-22_final
2019-12-26 11:12:15	ga_s2bm_ard_3-2-1_52KDF_2019-12-26_final
2020-01-18 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2020-01-18_final
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final
2020-03-09 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2020-03-09_final
2020-03-29 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-03-29_final
2020-04-07 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-04-07_final
2020-04-14 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2020-04-14_final
2020-05-09 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2020-05-09_final
2020-05-17 09:47:47	ga_s2bm_ard_3-2-1_55HDS_2020-05-17_final
2020-06-05 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2020-06-05_final
2020-09-23 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2020-09-23_final
2020-10-04 11:23:57	ga_s2bm_ard_3-2-1_51KYQ_2020-10-04_final
2020-10-19 10:30:44	ga_s2bm_ard_3-2-1_54LWL_2020-10-19_final
2020-10-27 11:34:57	ga_s2bm_ard_3-2-1_51JWL_2020-10-27_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-09 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2020-11-09_final
2021-01-16 11:04:47	ga_s2bm_ard_3-2-1_52JER_2021-01-16_final
2021-02-06 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2021-02-06_final
2021-02-19 10:42:19	ga_s2bm_ard_3-2-1_53KPV_2021-02-19_final
2021-03-24 10:52:40	ga_s2bm_ard_3-2-1_53KLU_2021-03-24_final
2021-03-26 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2021-03-26_final
2021-03-28 10:31:47	ga_s2bm_ard_3-2-1_54KTG_2021-03-28_final
2021-04-16 11:02:54	ga_s2bm_ard_3-2-1_52KGC_2021-04-16_final
2021-07-12 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2021-07-12_final
2021-07-21 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2021-07-21_final
2021-07-24 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2021-07-24_final
2021-07-30 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-30_final
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final
2021-08-16 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2021-08-16_final
2021-08-22 10:24:15	ga_s2bm_ard_3-2-1_54JUS_2021-08-22_final
2021-08-22 10:26:58	ga_s2bm_ard_3-2-1_54HTF_2021-08-22_final
2021-10-15 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2021-10-15_final
2021-10-22 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-10-22_final
2021-12-23 10:30:13	ga_s2bm_ard_3-2-1_54LXM_2021-12-23_final
2022-01-17 11:22:47	ga_s2bm_ard_3-2-1_52KBD_2022-01-17_final
2022-01-22 10:32:57	ga_s2bm_ard_3-2-1_53KRS_2022-01-22_final
2022-01-26 10:13:21	ga_s2bm_ard_3-2-1_54KXV_2022-01-26_final
2022-05-23 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-05-23_final
2022-07-16 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2022-07-16_final
2022-07-18 10:26:45	ga_s2bm_ard_3-2-1_53HNC_2022-07-18_final
2022-07-28 10:20:33	ga_s2bm_ard_3-2-1_54LXM_2022-07-28_final
2022-08-25 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2022-08-25_final
2022-08-31 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2022-08-31_final
2022-10-09 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2022-10-09_final.stac-item
2022-10-30 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-10-30_final.stac-item
2022-11-01 10:41:33	ga_s2bm_ard_3-2-1_53LQC_2022-11-01_final.stac-item
2022-11-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-09_final.stac-item
2023-04-01 10:12:46	ga_s2bm_ard_3-2-1_54KXC_2023-04-01_final.stac-item
2023-04-11 10:13:47	ga_s2bm_ard_3-2-1_54JZT_2023-04-11_final.stac-item
2023-04-18 10:07:31	ga_s2bm_ard_3-2-1_54HVD_2023-04-18_final.stac-item
2023-05-18 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-05-18_final.stac-item
2023-06-24 09:57:45	ga_s2bm_ard_3-2-1_54HXC_2023-06-24_final.stac-item
2023-08-06 10:07:35	ga_s2bm_ard_3-2-1_54HVD_2023-08-06_final.stac-item
2023-08-30 11:25:32	ga_s2bm_ard_3-2-1_51JWJ_2023-08-30_final.stac-item
2023-09-16 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2023-09-16_final.stac-item
2023-09-25 10:07:33	ga_s2bm_ard_3-2-1_54HVD_2023-09-25_final.stac-item
2023-09-29 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2023-09-29_final.stac-item
2023-10-03 11:05:13	ga_s2bm_ard_3-2-1_52JFP_2023-10-03_final.stac-item
2023-10-16 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2023-10-16_final.stac-item
2023-10-31 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2023-10-31_final.stac-item
2023-11-17 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2023-11-17_final.stac-item
2023-12-01 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-12-01_final.stac-item
2023-12-08 09:46:02	ga_s2bm_ard_3-2-1_55HDD_2023-12-08_final.stac-item
2023-12-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-12-14_final.stac-item
2024-01-03 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-01-03_final.stac-item
2024-01-03 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-01-03_final.stac-item
2024-01-05 10:41:34	ga_s2bm_ard_3-2-1_53LQC_2024-01-05_final.stac-item
2024-01-11 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2024-01-11_final.stac-item
2024-03-30 11:31:53	ga_s2bm_ard_3-2-1_51LWC_2024-03-30_final.stac-item
2024-04-20 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2024-04-20_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