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
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_54GYA_2017-08-04_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51KZQ_2017-09-17_final
2017-09-30 11:16:43	ga_s2bm_ard_3-2-1_51LYC_2017-09-30_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54JVR_2017-11-28_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KWP_2017-12-29_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54HXH_2018-01-14_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KKU_2018-01-30_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUS_2018-02-13_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JXJ_2018-06-24_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JMF_2018-08-24_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JMM_2018-10-04_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51LXD_2018-10-08_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXQ_2018-10-18_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53JQF_2018-10-27_final
2018-11-17 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2018-11-17_final
2019-01-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-01-09_final
2019-03-28 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2019-03-28_final
2019-05-16 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-05-16_final
2019-05-16 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-16_final
2019-06-17 10:33:38	ga_s2bm_ard_3-2-1_54KTV_2019-06-17_final
2019-06-17 10:34:40	ga_s2bm_ard_3-2-1_53JQL_2019-06-17_final
2019-07-01 10:16:47	ga_s2bm_ard_3-2-1_54HWG_2019-07-01_final
2019-09-06 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2019-09-06_final
2019-09-24 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2019-09-24_final
2019-10-12 10:25:15	ga_s2bm_ard_3-2-1_54JUN_2019-10-12_final
2019-10-17 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2019-10-17_final
2019-12-03 11:03:25	ga_s2bm_ard_3-2-1_52KFA_2019-12-03_final
2020-01-03 10:31:41	ga_s2bm_ard_3-2-1_54KUG_2020-01-03_final
2020-01-10 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-01-10_final
2020-01-25 11:13:47	ga_s2bm_ard_3-2-1_51KZQ_2020-01-25_final
2020-01-30 10:24:26	ga_s2bm_ard_3-2-1_54JTR_2020-01-30_final
2020-02-29 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2020-02-29_final
2020-05-04 11:15:33	ga_s2bm_ard_3-2-1_52JBN_2020-05-04_final
2020-06-28 10:25:02	ga_s2bm_ard_3-2-1_54JUP_2020-06-28_final
2020-07-05 10:16:02	ga_s2bm_ard_3-2-1_54HXJ_2020-07-05_final
2020-07-21 10:30:42	ga_s2bm_ard_3-2-1_54LWL_2020-07-21_final
2020-08-27 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2020-08-27_final
2020-09-07 11:33:08	ga_s2bm_ard_3-2-1_51KWU_2020-09-07_final
2020-09-09 10:35:58	ga_s2bm_ard_3-2-1_53JMF_2020-09-09_final
2020-10-04 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2020-10-04_final
2020-11-23 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2020-11-23_final
2020-12-13 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2020-12-13_final
2020-12-26 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-12-26_final
2021-01-04 10:21:36	ga_s2bm_ard_3-2-1_54KYG_2021-01-04_final
2021-01-16 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2021-01-16_final
2021-01-18 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2021-01-18_final
2021-01-18 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2021-01-18_final
2021-02-26 10:30:54	ga_s2bm_ard_3-2-1_54LWK_2021-02-26_final
2021-03-08 10:31:41	ga_s2bm_ard_3-2-1_54KVG_2021-03-08_final
2021-03-19 10:06:32	ga_s2bm_ard_3-2-1_54HVH_2021-03-19_final
2021-04-19 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2021-04-19_final
2021-04-21 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2021-04-21_final
2021-05-05 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2021-05-05_final
2021-05-07 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2021-05-07_final
2021-05-29 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2021-05-29_final
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final
2021-06-19 10:42:51	ga_s2bm_ard_3-2-1_53KNT_2021-06-19_final
2021-07-17 11:45:45	ga_s2bm_ard_3-2-1_51JTH_2021-07-17_final
2021-08-23 09:57:15	ga_s2bm_ard_3-2-1_54HXE_2021-08-23_final
2021-09-14 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2021-09-14_final
2021-10-29 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-29_final
2021-11-18 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2021-11-18_final
2021-11-25 11:14:45	ga_s2bm_ard_3-2-1_52JCR_2021-11-25_final
2021-11-26 10:40:35	ga_s2bm_ard_3-2-1_53LPG_2021-11-26_final
2022-01-14 11:11:55	ga_s2bm_ard_3-2-1_52KFG_2022-01-14_final
2022-01-25 10:42:12	ga_s2bm_ard_3-2-1_53KQV_2022-01-25_final
2022-03-16 10:45:49	ga_s2bm_ard_3-2-1_53JMF_2022-03-16_final
2022-03-21 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-03-21_final
2022-04-09 10:23:43	ga_s2bm_ard_3-2-1_54KUU_2022-04-09_final
2022-04-14 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2022-04-14_final
2022-05-04 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2022-05-04_final
2022-05-14 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2022-05-14_final
2022-05-23 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2022-05-23_final
2022-06-27 10:53:37	ga_s2bm_ard_3-2-1_52KGA_2022-06-27_final
2022-09-02 10:41:53	ga_s2bm_ard_3-2-1_53KPB_2022-09-02_final.stac-item
2022-09-04 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2022-09-04_final.stac-item
2022-09-08 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2022-09-08_final.stac-item
2022-10-12 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-10-12_final.stac-item
2022-10-25 10:51:35	ga_s2bm_ard_3-2-1_53LLC_2022-10-25_final.stac-item
2022-12-11 10:43:41	ga_s2bm_ard_3-2-1_53KLQ_2022-12-11_final.stac-item
2022-12-11 10:45:40	ga_s2bm_ard_3-2-1_53JKG_2022-12-11_final.stac-item
2022-12-28 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2022-12-28_final.stac-item
2023-02-02 10:52:47	ga_s2bm_ard_3-2-1_53KMT_2023-02-02_final.stac-item
2023-02-03 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-02-03_final.stac-item
2023-03-31 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2023-03-31_final.stac-item
2023-04-03 10:55:42	ga_s2bm_ard_3-2-1_53JKG_2023-04-03_final.stac-item
2023-06-11 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-06-11_final.stac-item
2023-07-13 10:24:27	ga_s2bm_ard_3-2-1_54JTS_2023-07-13_final.stac-item
2023-08-22 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-08-22_final.stac-item
2023-11-05 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2023-11-05_final.stac-item
2023-12-18 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2023-12-18_final.stac-item
2024-01-04 11:15:18	ga_s2bm_ard_3-2-1_52JCP_2024-01-04_final.stac-item
2024-01-20 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2024-01-20_final.stac-item
2024-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-01-27_final.stac-item
2024-02-01 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2024-02-01_final.stac-item
2024-02-11 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2024-02-11_final.stac-item
2024-02-23 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2024-02-23_final.stac-item
2024-03-28 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2024-03-28_final.stac-item
2024-05-22 11:45:22	ga_s2bm_ard_3-2-1_50JQP_2024-05-22_final.stac-item
2024-06-02 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2024-06-02_nrt.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