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
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_51HTC_2017-09-03_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KBB_2017-09-27_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HQH_2017-11-02_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-11-22_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-11-29_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KFC_2017-12-06_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KQB_2017-12-25_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JFL_2018-06-08_final.stac-item
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KDC_2018-06-24_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNR_2018-07-03_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXG_2018-10-05_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQK_2018-10-18_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JVL_2018-10-28_final
2018-11-08 11:02:46	ga_s2bm_ard_3-2-1_52KGD_2018-11-08_final
2018-11-10 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2018-11-10_final
2018-12-01 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2018-12-01_final
2019-01-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-01-03_final
2019-03-06 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-03-06_final
2019-03-06 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2019-03-06_final
2019-03-13 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2019-03-13_final
2019-03-20 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-03-20_final
2019-04-30 11:13:37	ga_s2bm_ard_3-2-1_52KEA_2019-04-30_final
2019-05-27 11:06:18	ga_s2bm_ard_3-2-1_52JBL_2019-05-27_final
2019-06-22 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-06-22_final
2019-07-24 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-07-24_final
2019-08-14 11:36:26	ga_s2bm_ard_3-2-1_50JQL_2019-08-14_final
2019-09-17 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2019-09-17_final
2019-10-07 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2019-10-07_final
2020-01-08 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2020-01-08_final
2020-01-08 11:24:14	ga_s2bm_ard_3-2-1_52JBT_2020-01-08_final
2020-02-17 11:22:08	ga_s2bm_ard_3-2-1_52KDF_2020-02-17_final
2020-03-02 11:04:15	ga_s2bm_ard_3-2-1_52JET_2020-03-02_final
2020-04-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2020-04-07_final
2020-04-11 11:00:51	ga_s2bm_ard_3-2-1_52LHL_2020-04-11_final
2020-04-16 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2020-04-16_final
2020-07-09 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2020-07-09_final
2020-07-20 11:04:02	ga_s2bm_ard_3-2-1_52KFU_2020-07-20_final
2020-07-28 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-07-28_final
2020-09-20 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-09-20_final
2020-10-31 11:12:45	ga_s2bm_ard_3-2-1_52KFD_2020-10-31_final
2020-11-20 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2020-11-20_final
2020-11-30 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2020-11-30_final
2020-12-09 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-12-09_final
2021-01-16 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2021-01-16_final
2021-01-22 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-01-22_final
2021-01-29 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-01-29_final
2021-01-29 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2021-01-29_final
2021-01-29 11:11:48	ga_s2bm_ard_3-2-1_52LEH_2021-01-29_final
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final
2021-02-28 11:14:15	ga_s2bm_ard_3-2-1_52JDT_2021-02-28_final
2021-03-12 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-03-12_final
2021-03-13 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2021-03-13_final
2021-03-13 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2021-03-13_final
2021-03-20 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-03-20_final
2021-04-08 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-04-08_final
2021-05-13 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-05-13_final
2021-05-28 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-05-28_final
2021-06-17 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-06-17_final
2021-06-17 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-06-17_final
2021-07-27 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2021-07-27_final
2021-08-07 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-08-07_final
2021-09-25 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-09-25_final
2021-10-10 10:54:02	ga_s2bm_ard_3-2-1_52KGU_2021-10-10_final
2021-10-30 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-10-30_final
2022-02-02 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-02_final
2022-05-04 11:15:46	ga_s2bm_ard_3-2-1_52JBM_2022-05-04_final.stac-item
2022-05-12 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-05-12_final
2022-05-25 10:46:06	ga_s2bm_ard_3-2-1_53HME_2022-05-25_final
2022-05-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-05-29_final
2022-06-10 11:05:10	ga_s2bm_ard_3-2-1_52JCQ_2022-06-10_final
2022-06-29 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2022-06-29_final
2022-07-29 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-29_final
2022-09-13 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2022-09-13_final.stac-item
2022-09-16 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2022-09-16_final.stac-item
2022-10-01 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2022-10-01_final.stac-item
2022-12-19 11:42:30	ga_s2bm_ard_3-2-1_51KUA_2022-12-19_final.stac-item
2022-12-30 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2022-12-30_final.stac-item
2023-01-05 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-01-05_final.stac-item
2023-01-26 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-01-26_final.stac-item
2023-01-28 11:44:38	ga_s2bm_ard_3-2-1_51JUM_2023-01-28_final.stac-item
2023-02-01 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2023-02-01_final.stac-item
2023-03-30 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2023-03-30_final.stac-item
2023-04-09 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2023-04-09_final.stac-item
2023-04-12 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-04-12_final.stac-item
2023-05-31 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2023-05-31_final.stac-item
2023-06-21 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2023-06-21_final.stac-item
2023-06-25 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2023-06-25_final.stac-item
2023-08-04 11:05:09	ga_s2bm_ard_3-2-1_52JDQ_2023-08-04_final.stac-item
2023-09-02 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-09-02_final.stac-item
2023-11-08 11:21:13	ga_s2bm_ard_3-2-1_52LBL_2023-11-08_nrt.stac-item
2023-11-22 11:03:41	ga_s2bm_ard_3-2-1_52KFV_2023-11-22_final.stac-item
2024-01-03 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-01-03_final.stac-item
2024-01-20 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2024-01-20_final.stac-item
2024-01-24 11:12:41	ga_s2bm_ard_3-2-1_52KFD_2024-01-24_final.stac-item
2024-01-26 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2024-01-26_final.stac-item
2024-03-06 11:53:35	ga_s2bm_ard_3-2-1_50KQA_2024-03-06_final.stac-item
2024-03-07 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2024-03-07_final.stac-item
2024-03-07 11:26:00	ga_s2bm_ard_3-2-1_51JUG_2024-03-07_final.stac-item
2024-03-10 11:31:45	ga_s2bm_ard_3-2-1_51LYC_2024-03-10_final.stac-item
2024-04-28 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2024-04-28_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