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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53HLE_2017-06-30_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KFC_2017-09-27_final
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53HMD_2017-11-24_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JQL_2018-01-23_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51LYD_2018-02-10_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KFD_2018-02-14_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUT_2018-03-25_final
2018-04-07 10:07:01	ga_s2bm_ard_3-2-1_53HQA_2018-04-07_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMJ_2018-04-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-06-30_final
2018-07-14 11:07:11	ga_s2bm_ard_3-2-1_52LEL_2018-07-14_final.stac-item
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54JTQ_2018-07-29_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53HMD_2018-09-03_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JWL_2018-09-25_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQK_2018-10-08_final
2018-11-11 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2018-11-11_final
2018-11-27 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2018-11-27_final
2019-04-29 10:07:29	ga_s2bm_ard_3-2-1_54HXD_2019-04-29_final
2019-05-05 10:24:38	ga_s2bm_ard_3-2-1_54JUR_2019-05-05_final
2019-05-20 11:13:49	ga_s2bm_ard_3-2-1_51KZR_2019-05-20_final
2019-07-24 10:26:35	ga_s2bm_ard_3-2-1_54HUH_2019-07-24_final
2019-08-25 11:00:33	ga_s2bm_ard_3-2-1_53LKH_2019-08-25_final
2019-09-03 11:34:32	ga_s2bm_ard_3-2-1_51JVN_2019-09-03_final
2019-09-21 10:52:23	ga_s2bm_ard_3-2-1_53KMV_2019-09-21_final
2019-10-30 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2019-10-30_final
2019-11-24 10:34:58	ga_s2bm_ard_3-2-1_53JQJ_2019-11-24_final
2019-12-02 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-02_final
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final
2020-01-21 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2020-01-21_final
2020-01-25 11:16:37	ga_s2bm_ard_3-2-1_51HWD_2020-01-25_final
2020-02-25 10:42:40	ga_s2bm_ard_3-2-1_53KMU_2020-02-25_final
2020-03-25 11:14:27	ga_s2bm_ard_3-2-1_51JZM_2020-03-25_final
2020-04-09 10:24:01	ga_s2bm_ard_3-2-1_54JTT_2020-04-09_final
2020-04-09 10:24:30	ga_s2bm_ard_3-2-1_54JTR_2020-04-09_final
2020-06-06 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-06-06_final
2020-06-18 10:27:02	ga_s2bm_ard_3-2-1_54HTF_2020-06-18_final
2020-06-22 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-06-22_final
2020-09-17 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-09-17_final
2020-09-17 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2020-09-17_final
2020-09-18 11:00:30	ga_s2bm_ard_3-2-1_53LKH_2020-09-18_final
2020-09-21 11:10:45	ga_s2bm_ard_3-2-1_52LGM_2020-09-21_final
2020-11-03 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-11-03_final
2020-11-20 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2020-11-20_final
2020-11-20 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2020-11-20_final
2020-11-30 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2020-11-30_final
2021-01-08 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-01-08_final
2021-01-23 10:55:15	ga_s2bm_ard_3-2-1_53JLH_2021-01-23_final
2021-01-24 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2021-01-24_final
2021-01-25 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-25_final
2021-02-03 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-02-03_final
2021-02-11 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-02-11_final
2021-04-14 10:24:52	ga_s2bm_ard_3-2-1_54JTP_2021-04-14_final
2021-05-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-05-08_final
2021-06-21 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2021-06-21_final
2021-07-12 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2021-07-12_final
2021-10-01 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-10-01_final
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-10-11_final
2021-10-11 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-10-11_final
2021-10-24 10:33:36	ga_s2bm_ard_3-2-1_53KQQ_2021-10-24_final
2021-11-14 10:07:39	ga_s2bm_ard_3-2-1_54HWC_2021-11-14_final
2021-11-25 11:11:36	ga_s2bm_ard_3-2-1_52LGH_2021-11-25_final
2022-01-02 10:36:46	ga_s2bm_ard_3-2-1_53HNB_2022-01-02_final
2022-01-09 10:23:54	ga_s2bm_ard_3-2-1_54JVT_2022-01-09_final
2022-04-12 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2022-04-12_final
2022-04-16 10:14:13	ga_s2bm_ard_3-2-1_54JVS_2022-04-16_final
2022-04-17 11:23:31	ga_s2bm_ard_3-2-1_52KBA_2022-04-17_final
2022-05-12 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2022-05-12_final
2022-05-18 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-05-18_final
2022-05-23 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-05-23_final
2022-06-02 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-06-02_final
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2022-07-08_final
2022-07-16 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2022-07-16_final
2022-08-07 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2022-08-07_final
2022-08-15 11:24:07	ga_s2bm_ard_3-2-1_51KZP_2022-08-15_final
2022-08-24 10:17:04	ga_s2bm_ard_3-2-1_54HTF_2022-08-24_final
2022-09-04 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-09-04_final.stac-item
2022-10-06 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2022-10-06_final.stac-item
2022-11-11 10:42:02	ga_s2bm_ard_3-2-1_53KNB_2022-11-11_final.stac-item
2022-12-05 10:26:26	ga_s2bm_ard_3-2-1_54HTH_2022-12-05_final.stac-item
2023-01-05 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2023-01-05_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-02-06 10:32:31	ga_s2bm_ard_3-2-1_53KRU_2023-02-06_final.stac-item
2023-02-08 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2023-02-08_final.stac-item
2023-03-19 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2023-03-19_final.stac-item
2023-03-26 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-03-26_final.stac-item
2023-04-24 10:25:05	ga_s2bm_ard_3-2-1_54JTP_2023-04-24_final.stac-item
2023-04-26 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2023-04-26_final.stac-item
2023-05-15 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2023-05-15_final.stac-item
2023-06-08 11:11:56	ga_s2bm_ard_3-2-1_52LDH_2023-06-08_final.stac-item
2023-06-23 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-06-23_final.stac-item
2023-07-07 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-07-07_final.stac-item
2023-08-12 10:24:36	ga_s2bm_ard_3-2-1_54JUR_2023-08-12_final.stac-item
2023-10-21 10:24:22	ga_s2bm_ard_3-2-1_54JUS_2023-10-21_final.stac-item
2023-11-19 10:53:55	ga_s2bm_ard_3-2-1_53KKP_2023-11-19_final.stac-item
2023-11-23 10:32:46	ga_s2bm_ard_3-2-1_53KQT_2023-11-23_final.stac-item
2023-12-07 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2023-12-07_final.stac-item
2024-03-10 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2024-03-10_final.stac-item
2024-03-10 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2024-03-10_final.stac-item
2024-03-24 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-03-24_nrt.stac-item
2024-03-31 11:01:55	ga_s2bm_ard_3-2-1_53KKB_2024-03-31_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