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
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KFC_2017-07-26_final
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KDV_2017-07-29_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNN_2017-08-07_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLP_2017-08-20_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2017-09-02_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKP_2017-11-01_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KVB_2017-11-25_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWB_2017-12-02_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KEB_2017-12-16_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JFQ_2018-01-12_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_52KBG_2018-01-18_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KMC_2018-01-20_final
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50JML_2018-02-03_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVB_2018-02-23_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNS_2018-05-07_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZR_2018-05-18_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_52JEP_2018-06-11_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZV_2018-06-17_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KUQ_2018-07-10_final
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFP_2018-08-07_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVP_2018-10-18_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KFD_2018-10-19_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-10-25_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_52KCD_2018-11-04_final
2018-11-07 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2018-11-07_final
2019-03-01 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2019-03-01_final
2019-03-11 11:15:59	ga_s2bm_ard_3-2-1_52JCL_2019-03-11_final
2019-03-17 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2019-03-17_final
2019-03-24 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2019-03-24_final
2019-04-13 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2019-04-13_final
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final
2019-05-23 11:24:13	ga_s2bm_ard_3-2-1_52KBU_2019-05-23_final
2019-06-02 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-06-02_final
2019-06-21 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-06-21_final
2019-08-03 12:03:34	ga_s2bm_ard_3-2-1_50KLC_2019-08-03_final
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-09-16 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-09-16_final
2019-09-17 11:15:42	ga_s2bm_ard_3-2-1_51JXH_2019-09-17_final
2019-10-03 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-10-03_final
2019-10-21 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2019-10-21_final
2019-10-27 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2019-10-27_final
2019-11-22 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-11-22_final
2019-12-28 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2019-12-28_final
2020-03-18 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2020-03-18_final
2020-05-17 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2020-05-17_final
2020-05-24 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2020-05-24_final
2020-05-30 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2020-05-30_final
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final
2020-06-23 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2020-06-23_final
2020-08-16 10:55:31	ga_s2bm_ard_3-2-1_52JGN_2020-08-16_final
2020-08-28 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2020-08-28_final
2020-10-31 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-10-31_final
2020-11-16 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2020-11-16_final
2021-01-02 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2021-01-02_final
2021-01-05 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2021-01-05_final
2021-01-24 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-01-24_final
2021-05-02 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-05-02_final
2021-07-07 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-07-07_final
2021-07-11 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2021-07-11_final
2021-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-17_final.stac-item
2021-07-18 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2021-07-18_final
2021-08-19 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-08-19_final.stac-item
2021-08-23 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-08-23_final
2021-09-16 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2021-09-16_final
2021-10-15 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-15_final
2021-10-19 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2021-10-19_final
2021-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-22_final
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final
2022-03-31 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2022-03-31_final
2022-04-17 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2022-04-17_final
2022-05-10 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-05-10_final
2022-05-17 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2022-05-17_final
2022-06-06 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2022-06-06_final
2022-08-15 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2022-08-15_final
2022-08-25 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2022-08-25_final
2022-09-01 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2022-09-01_final.stac-item
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-10-06 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-10-06_final.stac-item
2022-10-16 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2022-10-16_final.stac-item
2022-10-17 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2022-10-17_final.stac-item
2022-11-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-11-09_final.stac-item
2022-12-19 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-12-19_final.stac-item
2023-05-16 11:05:24	ga_s2bm_ard_3-2-1_52JDP_2023-05-16_final.stac-item
2023-06-22 10:55:02	ga_s2bm_ard_3-2-1_52JGQ_2023-06-22_final.stac-item
2023-07-01 11:24:24	ga_s2bm_ard_3-2-1_52JBT_2023-07-01_final.stac-item
2023-07-21 11:25:34	ga_s2bm_ard_3-2-1_51JWJ_2023-07-21_final.stac-item
2023-08-07 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-08-07_final.stac-item
2023-08-16 11:42:15	ga_s2bm_ard_3-2-1_51KWB_2023-08-16_final.stac-item
2023-08-30 11:22:53	ga_s2bm_ard_3-2-1_52KCD_2023-08-30_final.stac-item
2023-09-26 11:13:11	ga_s2bm_ard_3-2-1_52KCC_2023-09-26_final.stac-item
2023-09-26 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2023-09-26_final.stac-item
2023-10-05 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2023-10-05_final.stac-item
2023-10-15 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-10-15_final.stac-item
2023-10-19 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2023-10-19_final.stac-item
2023-11-05 11:12:09	ga_s2bm_ard_3-2-1_52KDG_2023-11-05_final.stac-item
2023-11-18 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2023-11-18_final.stac-item
2023-11-24 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2023-11-24_final.stac-item
2024-01-21 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2024-01-21_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