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
2017-10-10 09:45:45	ga_s2bm_ard_3-2-1_55GCQ_2017-10-10_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_52LDH_2017-11-29_final
2017-12-14 10:26:56	ga_s2bm_ard_3-2-1_54KTG_2017-12-14_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KYU_2017-12-19_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54JTQ_2018-03-01_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNL_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KNC_2018-03-28_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HTC_2018-04-21_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53KRP_2018-05-03_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWQ_2018-05-08_final
2018-06-02 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2018-06-02_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KGF_2018-06-11_final
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55HBE_2018-06-20_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KEA_2018-07-04_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KDC_2018-07-24_final
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KVF_2018-07-29_final
2018-08-01 12:13:18	ga_s2bm_ard_3-2-1_50KKB_2018-08-01_final
2018-11-27 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2018-11-27_final
2019-02-01 10:16:46	ga_s2bm_ard_3-2-1_54HUG_2019-02-01_final
2019-02-15 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-02-15_final
2019-02-17 10:30:18	ga_s2bm_ard_3-2-1_54LXM_2019-02-17_final
2019-02-22 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2019-02-22_final
2019-03-01 11:15:13	ga_s2bm_ard_3-2-1_52JBP_2019-03-01_final
2019-03-31 09:38:24	ga_s2bm_ard_3-2-1_55GFP_2019-03-31_final
2019-04-15 10:24:47	ga_s2bm_ard_3-2-1_54JVQ_2019-04-15_final
2019-06-18 10:06:36	ga_s2bm_ard_3-2-1_54HWH_2019-06-18_final
2019-06-19 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-06-19_final
2019-06-21 11:56:12	ga_s2bm_ard_3-2-1_50JNM_2019-06-21_final
2019-06-28 10:07:38	ga_s2bm_ard_3-2-1_54HVD_2019-06-28_final
2019-06-29 11:14:17	ga_s2bm_ard_3-2-1_51KZP_2019-06-29_final
2019-07-08 11:46:24	ga_s2bm_ard_3-2-1_50JQL_2019-07-08_final
2019-07-09 11:13:11	ga_s2bm_ard_3-2-1_52KDC_2019-07-09_final
2019-07-17 10:30:03	ga_s2bm_ard_3-2-1_54LXP_2019-07-17_final
2019-09-22 10:24:30	ga_s2bm_ard_3-2-1_54JUR_2019-09-22_final
2019-12-05 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2019-12-05_final
2019-12-22 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2019-12-22_final
2019-12-23 11:03:26	ga_s2bm_ard_3-2-1_52KFA_2019-12-23_final
2019-12-29 11:23:59	ga_s2bm_ard_3-2-1_52KBU_2019-12-29_final
2020-01-05 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2020-01-05_final
2020-05-05 10:44:07	ga_s2bm_ard_3-2-1_53JMN_2020-05-05_final
2020-05-05 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2020-05-05_final
2020-05-26 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2020-05-26_final
2020-06-01 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-06-01_final
2020-06-24 10:43:36	ga_s2bm_ard_3-2-1_53KPQ_2020-06-24_final
2020-07-03 11:13:16	ga_s2bm_ard_3-2-1_52KCB_2020-07-03_final
2020-08-27 10:23:53	ga_s2bm_ard_3-2-1_54KTU_2020-08-27_final
2020-09-09 10:32:03	ga_s2bm_ard_3-2-1_54KUF_2020-09-09_final
2020-10-11 11:12:10	ga_s2bm_ard_3-2-1_52KDG_2020-10-11_final
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2020-12-12 10:17:12	ga_s2bm_ard_3-2-1_54HUE_2020-12-12_final.stac-item
2020-12-17 11:06:19	ga_s2bm_ard_3-2-1_52HBK_2020-12-17_final
2021-01-24 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2021-01-24_final
2021-01-24 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2021-01-24_final
2021-02-02 10:51:25	ga_s2bm_ard_3-2-1_53LMD_2021-02-02_final
2021-02-03 10:20:49	ga_s2bm_ard_3-2-1_54LZK_2021-02-03_final
2021-02-04 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-02-04_final
2021-04-04 10:21:31	ga_s2bm_ard_3-2-1_54LVH_2021-04-04_final
2021-05-08 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2021-05-08_final
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final
2021-08-24 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-08-24_final
2021-09-01 10:20:50	ga_s2bm_ard_3-2-1_54LYK_2021-09-01_final
2021-09-04 10:35:52	ga_s2bm_ard_3-2-1_53JMF_2021-09-04_final
2021-09-06 11:13:22	ga_s2bm_ard_3-2-1_52KBB_2021-09-06_final
2021-09-21 10:24:13	ga_s2bm_ard_3-2-1_54JUS_2021-09-21_final
2021-09-21 10:24:16	ga_s2bm_ard_3-2-1_54JTS_2021-09-21_final
2021-10-26 11:12:37	ga_s2bm_ard_3-2-1_52KDE_2021-10-26_final
2021-10-28 10:14:49	ga_s2bm_ard_3-2-1_54JYP_2021-10-28_final
2021-11-03 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-11-03_final
2021-11-24 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-11-24_final
2021-11-24 11:44:02	ga_s2bm_ard_3-2-1_51KUP_2021-11-24_final
2022-04-02 10:33:34	ga_s2bm_ard_3-2-1_53KPQ_2022-04-02_final
2022-04-30 11:34:29	ga_s2bm_ard_3-2-1_51JTN_2022-04-30_final
2022-06-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-06-02_final
2022-08-08 09:58:09	ga_s2bm_ard_3-2-1_54GYA_2022-08-08_final
2022-08-31 10:07:41	ga_s2bm_ard_3-2-1_54HWC_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-31_final
2022-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2022-09-10_final.stac-item
2022-09-14 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2022-09-14_final.stac-item
2022-10-06 10:24:19	ga_s2bm_ard_3-2-1_54JUS_2022-10-06_final.stac-item
2022-10-06 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2022-10-06_final.stac-item
2022-11-10 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2022-11-10_final.stac-item
2022-12-28 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2022-12-28_final.stac-item
2022-12-28 10:35:48	ga_s2bm_ard_3-2-1_53JPF_2022-12-28_final.stac-item
2023-01-17 10:32:12	ga_s2bm_ard_3-2-1_54KUE_2023-01-17_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-28 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-28_final.stac-item
2023-02-18 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2023-02-18_final.stac-item
2023-02-24 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-02-24_final.stac-item
2023-03-16 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-03-16_final.stac-item
2023-05-14 10:24:26	ga_s2bm_ard_3-2-1_53JRM_2023-05-14_final.stac-item
2023-06-23 10:25:03	ga_s2bm_ard_3-2-1_54JUP_2023-06-23_final.stac-item
2023-07-24 11:34:49	ga_s2bm_ard_3-2-1_51JVM_2023-07-24_final.stac-item
2023-09-01 10:27:06	ga_s2bm_ard_3-2-1_53HQA_2023-09-01_final.stac-item
2023-09-05 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-09-05_final.stac-item
2023-09-09 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2023-09-09_final.stac-item
2023-11-15 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2023-11-15_final.stac-item
2024-01-02 10:31:35	ga_s2bm_ard_3-2-1_54LTH_2024-01-02_nrt.stac-item
2024-01-20 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2024-01-20_final.stac-item
2024-03-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2024-03-20_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