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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KXQ_2017-07-05_final
2017-07-20 10:37:27	ga_s2bm_ard_3-2-1_53KQB_2017-07-20_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXP_2017-07-25_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_54HTF_2017-08-03_final
2017-08-05 11:00:30	ga_s2bm_ard_3-2-1_52LGK_2017-08-05_final
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JRM_2017-11-11_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUT_2017-11-15_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KDG_2017-12-16_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCE_2018-01-28_final
2018-02-18 10:53:07	ga_s2bm_ard_3-2-1_52JFS_2018-02-18_final
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_53JQL_2018-03-14_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54JTS_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGJ_2018-04-20_final
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KVB_2018-08-19_final
2018-08-23 11:07:12	ga_s2bm_ard_3-2-1_52LHM_2018-08-23_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWQ_2018-08-29_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JEQ_2018-10-09_final
2019-03-04 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-03-04_final
2019-04-27 11:00:36	ga_s2bm_ard_3-2-1_53LKH_2019-04-27_final
2019-04-29 11:46:37	ga_s2bm_ard_3-2-1_50HQK_2019-04-29_final
2019-06-08 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2019-06-08_final
2019-06-19 11:15:29	ga_s2bm_ard_3-2-1_52JBP_2019-06-19_final
2019-07-09 11:12:55	ga_s2bm_ard_3-2-1_52KED_2019-07-09_final
2019-07-10 10:46:07	ga_s2bm_ard_3-2-1_53JKF_2019-07-10_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2019-07-29_final
2019-08-02 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-08-02_final
2019-11-02 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2019-11-02_final
2019-11-25 10:06:57	ga_s2bm_ard_3-2-1_54HVF_2019-11-25_final
2020-01-18 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2020-01-18_final
2020-01-24 11:42:02	ga_s2bm_ard_3-2-1_51KWB_2020-01-24_final
2020-03-22 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2020-03-22_final
2020-04-19 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2020-04-19_final
2020-05-26 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2020-05-26_final
2020-11-06 09:57:13	ga_s2bm_ard_3-2-1_54HXE_2020-11-06_final
2020-12-12 10:17:12	ga_s2bm_ard_3-2-1_54HUE_2020-12-12_final.stac-item
2020-12-14 10:55:57	ga_s2bm_ard_3-2-1_52JFL_2020-12-14_final
2021-01-03 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2021-01-03_final
2021-01-24 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2021-01-24_final
2021-01-24 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-01-24_final
2021-01-31 10:15:49	ga_s2bm_ard_3-2-1_54HXK_2021-01-31_final
2021-02-01 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2021-02-01_final
2021-03-01 10:41:29	ga_s2bm_ard_3-2-1_53LND_2021-03-01_final
2021-03-28 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2021-03-28_final
2021-04-08 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2021-04-08_final
2021-04-18 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-04-18_final
2021-04-22 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2021-04-22_final
2021-05-05 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-05-05_final
2021-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-06-04_final
2021-07-11 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2021-07-11_final
2021-07-23 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2021-07-23_final
2021-09-03 11:01:16	ga_s2bm_ard_3-2-1_52LHJ_2021-09-03_final
2021-09-07 10:44:06	ga_s2bm_ard_3-2-1_53JMN_2021-09-07_final
2021-09-12 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-09-12_final
2021-09-19 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2021-09-19_final
2021-09-21 10:24:13	ga_s2bm_ard_3-2-1_54JUS_2021-09-21_final
2021-10-06 11:11:02	ga_s2bm_ard_3-2-1_52LFL_2021-10-06_final
2021-10-08 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-10-08_final
2021-11-10 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-11-10_final
2021-12-02 11:05:29	ga_s2bm_ard_3-2-1_52JDN_2021-12-02_final
2021-12-17 11:56:16	ga_s2bm_ard_3-2-1_50JML_2021-12-17_final
2022-03-03 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2022-03-03_final
2022-03-19 10:52:42	ga_s2bm_ard_3-2-1_53KKU_2022-03-19_final
2022-03-27 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2022-03-27_final
2022-05-07 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2022-05-07_final
2022-05-12 10:34:12	ga_s2bm_ard_3-2-1_54JTS_2022-05-12_final
2022-05-19 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-05-19_final
2022-06-18 10:24:08	ga_s2bm_ard_3-2-1_53JRN_2022-06-18_final
2022-07-09 09:57:50	ga_s2bm_ard_3-2-1_54HWC_2022-07-09_final
2022-08-07 10:26:36	ga_s2bm_ard_3-2-1_53HQC_2022-08-07_final
2022-09-01 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2022-09-01_final.stac-item
2022-09-04 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2022-09-04_final.stac-item
2022-09-17 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2022-09-17_final.stac-item
2022-10-11 11:11:41	ga_s2bm_ard_3-2-1_52LGH_2022-10-11_final.stac-item
2022-10-16 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2022-10-16_final.stac-item
2022-12-10 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2022-12-10_final.stac-item
2022-12-12 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2022-12-12_final.stac-item
2022-12-24 10:52:05	ga_s2bm_ard_3-2-1_53KNA_2022-12-24_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-02-22 10:52:38	ga_s2bm_ard_3-2-1_53KMU_2023-02-22_final.stac-item
2023-02-25 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2023-02-25_final.stac-item
2023-03-11 10:41:39	ga_s2bm_ard_3-2-1_53LQC_2023-03-11_final.stac-item
2023-04-21 10:17:31	ga_s2bm_ard_3-2-1_54HUD_2023-04-21_final.stac-item
2023-04-22 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-04-22_final.stac-item
2023-05-04 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-05-04_final.stac-item
2023-05-22 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-05-22_final.stac-item
2023-05-31 10:16:03	ga_s2bm_ard_3-2-1_54HVK_2023-05-31_final.stac-item
2023-06-15 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-06-15_final.stac-item
2023-06-23 10:24:45	ga_s2bm_ard_3-2-1_54JVQ_2023-06-23_final.stac-item
2023-10-30 10:54:23	ga_s2bm_ard_3-2-1_52JFT_2023-10-30_final.stac-item
2023-11-11 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2023-11-11_final.stac-item
2023-11-27 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-11-27_final.stac-item
2023-12-07 10:16:57	ga_s2bm_ard_3-2-1_54HUF_2023-12-07_final.stac-item
2024-02-01 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2024-02-01_final.stac-item
2024-02-02 10:06:50	ga_s2bm_ard_3-2-1_54HXF_2024-02-02_final.stac-item
2024-03-08 10:51:45	ga_s2bm_ard_3-2-1_53KNB_2024-03-08_final.stac-item
2024-03-09 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2024-03-09_final.stac-item
2024-03-12 10:34:58	ga_s2bm_ard_3-2-1_53JQJ_2024-03-12_final.stac-item
2024-03-22 10:32:33	ga_s2bm_ard_3-2-1_53KRU_2024-03-22_final.stac-item
2024-03-25 10:43:25	ga_s2bm_ard_3-2-1_53KQQ_2024-03-25_final.stac-item
2024-03-26 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2024-03-26_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