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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2017-08-13_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-09-22_final
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMJ_2017-11-28_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JML_2017-12-18_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPM_2018-01-14_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLL_2018-01-17_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-01-31_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JYJ_2018-02-27_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNM_2018-03-25_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JDS_2018-05-02_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50JQL_2018-08-09_final
2018-11-17 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-17_final
2019-03-23 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2019-03-23_final
2019-05-27 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-05-27_final
2019-06-09 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-06-09_final
2019-06-22 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-06-22_final
2019-07-24 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-24_final
2019-07-24 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-07-24_final
2019-07-26 11:06:11	ga_s2bm_ard_3-2-1_52JDL_2019-07-26_final
2019-08-31 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2019-08-31_final
2019-08-31 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2019-08-31_final
2019-09-03 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2019-09-03_final
2019-09-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2019-09-19_final
2019-09-19 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2019-09-19_final
2019-11-01 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-11-01_final
2019-11-28 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2019-11-28_final
2019-12-02 11:32:02	ga_s2bm_ard_3-2-1_51KYB_2019-12-02_final
2020-01-11 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2020-01-11_final
2020-02-11 11:05:58	ga_s2bm_ard_3-2-1_52JDL_2020-02-11_final
2020-02-20 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2020-02-20_final
2020-03-27 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2020-03-27_final
2020-04-06 11:54:08	ga_s2bm_ard_3-2-1_50KMV_2020-04-06_final
2020-04-20 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-04-20_final
2020-05-07 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2020-05-07_final
2020-06-22 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-09-19 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2020-09-19_final
2020-10-04 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-10-04_final
2020-11-09 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2020-11-09_final
2020-11-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2020-11-15_final
2020-12-26 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-12-26_final
2021-01-12 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2021-01-12_final
2021-02-01 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-02-01_final
2021-02-05 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-02-05_final
2021-02-07 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-02-07_final
2021-02-11 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-02-11_final
2021-02-13 12:03:32	ga_s2bm_ard_3-2-1_50KNB_2021-02-13_final
2021-03-13 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-03-13_final
2021-06-01 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-06-01_final
2021-07-14 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2021-07-14_final
2021-07-28 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-07-28_final
2021-08-23 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-08-23_final
2021-09-01 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-09-01_final
2021-09-04 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-04_final
2021-10-02 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-10-02_final
2021-11-11 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2021-11-11_final
2021-11-18 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2021-11-18_final
2022-03-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-03-03_final
2022-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2022-04-03_final
2022-05-09 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-05-09_final
2022-05-13 11:44:21	ga_s2bm_ard_3-2-1_50KPU_2022-05-13_final
2022-05-23 11:43:36	ga_s2bm_ard_3-2-1_50KQB_2022-05-23_final
2022-05-23 11:43:51	ga_s2bm_ard_3-2-1_50KQA_2022-05-23_final
2022-06-06 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2022-06-06_final
2022-06-18 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-06-18_final
2022-08-08 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2022-08-08_final
2022-09-03 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2022-09-03_final.stac-item
2022-09-10 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2022-09-10_final.stac-item
2022-09-30 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-09-30_final.stac-item
2022-10-01 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2022-10-01_final.stac-item
2022-10-30 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2022-10-30_final.stac-item
2022-11-12 13:31:33	ga_s2bm_ard_3-2-1_46LHN_2022-11-12_interim.stac-item
2022-11-16 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-16_final.stac-item
2022-11-23 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2022-11-23_final.stac-item
2022-12-19 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-12-19_final.stac-item
2022-12-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-12-26_final.stac-item
2022-12-30 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-12-30_final.stac-item
2023-01-08 13:21:42	ga_s2bm_ard_3-2-1_46LHM_2023-01-08_interim.stac-item
2023-01-31 13:31:31	ga_s2bm_ard_3-2-1_46LHN_2023-01-31_interim.stac-item
2023-02-01 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2023-02-01_final.stac-item
2023-03-10 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-03-10_final.stac-item
2023-03-30 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-03-30_final.stac-item
2023-04-12 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-04-12_final.stac-item
2023-04-24 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-04-24_final.stac-item
2023-05-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-05-05_final.stac-item
2023-06-20 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2023-06-20_final.stac-item
2023-09-12 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2023-09-12_final.stac-item
2023-10-02 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2023-10-02_final.stac-item
2023-10-16 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-10-16_final.stac-item
2023-10-29 11:21:12	ga_s2bm_ard_3-2-1_51LZF_2023-10-29_nrt.stac-item
2023-11-11 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-11-11_final.stac-item
2023-11-22 11:05:59	ga_s2bm_ard_3-2-1_52JDL_2023-11-22_final.stac-item
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-30_final.stac-item
2023-12-02 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2023-12-02_final.stac-item
2023-12-28 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2023-12-28_final.stac-item
2024-01-20 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2024-01-20_final.stac-item
2024-01-23 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2024-01-23_final.stac-item
2024-02-16 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2024-02-16_final.stac-item
2024-02-25 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2024-02-25_final.stac-item
2024-03-01 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2024-03-01_final.stac-item
2024-03-13 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2024-03-13_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