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
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPK_2017-09-23_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KFG_2017-10-07_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52JBM_2017-11-23_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCD_2017-12-06_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCF_2017-12-06_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWU_2018-01-11_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXU_2018-02-07_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTM_2018-02-20_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JFQ_2018-03-10_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWR_2018-03-12_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KNC_2018-03-21_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HTC_2018-04-01_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JFN_2018-05-03_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KXP_2018-06-10_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KVT_2018-07-23_final
2018-11-18 11:01:43	ga_s2bm_ard_3-2-1_52LGH_2018-11-18_final
2018-11-21 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2018-11-21_final
2018-12-21 11:11:22	ga_s2bm_ard_3-2-1_52LGJ_2018-12-21_final
2019-01-16 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2019-01-16_final
2019-03-04 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2019-03-04_final
2019-03-24 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2019-03-24_final
2019-04-19 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2019-04-19_final
2019-06-12 11:23:21	ga_s2bm_ard_3-2-1_51KXT_2019-06-12_final
2019-07-12 11:25:00	ga_s2bm_ard_3-2-1_51JYL_2019-07-12_final
2019-07-12 11:25:04	ga_s2bm_ard_3-2-1_51JXL_2019-07-12_final
2019-07-15 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-07-15_final
2019-07-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-25_final
2019-07-29 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-07-29_final
2019-12-02 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-02_final
2020-01-24 11:43:07	ga_s2bm_ard_3-2-1_50KRC_2020-01-24_final
2020-01-24 11:43:18	ga_s2bm_ard_3-2-1_51KVS_2020-01-24_final
2020-01-31 11:32:39	ga_s2bm_ard_3-2-1_51KVV_2020-01-31_final
2020-02-09 12:04:16	ga_s2bm_ard_3-2-1_50KMU_2020-02-09_final
2020-02-11 11:05:58	ga_s2bm_ard_3-2-1_52JDL_2020-02-11_final
2020-02-24 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2020-02-24_final
2020-02-29 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-02-29_final
2020-02-29 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2020-02-29_final
2020-03-08 11:23:33	ga_s2bm_ard_3-2-1_51KXR_2020-03-08_final
2020-05-06 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2020-05-06_final
2020-08-09 11:05:42	ga_s2bm_ard_3-2-1_52JFM_2020-08-09_final
2020-08-21 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2020-08-21_final
2020-09-27 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-09-27_final
2020-10-07 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2020-10-07_final
2020-11-19 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2020-11-19_final
2020-12-10 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-12-10_final
2020-12-24 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2020-12-24_final
2021-01-01 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-01-01_final
2021-01-06 11:02:39	ga_s2bm_ard_3-2-1_52KHD_2021-01-06_final
2021-01-16 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2021-01-16_final
2021-01-26 11:01:17	ga_s2bm_ard_3-2-1_52LGK_2021-01-26_final
2021-02-03 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-02-03_final
2021-02-05 11:02:18	ga_s2bm_ard_3-2-1_52KFF_2021-02-05_final
2021-02-13 12:03:32	ga_s2bm_ard_3-2-1_50KNB_2021-02-13_final
2021-02-14 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-02-14_final
2021-02-20 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2021-02-20_final.stac-item
2021-03-06 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2021-03-06_final
2021-04-05 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2021-04-05_final
2021-04-08 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2021-04-08_final
2021-05-25 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2021-05-25_final
2021-06-19 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-06-19_final
2021-07-07 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2021-07-07_final
2021-07-14 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2021-07-14_final
2021-11-07 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-11-07_final
2021-11-25 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2021-11-25_final
2021-12-04 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2021-12-04_final
2022-01-31 11:01:22	ga_s2bm_ard_3-2-1_52LHJ_2022-01-31_final
2022-04-21 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2022-04-21_final
2022-04-27 11:25:46	ga_s2bm_ard_3-2-1_51JXG_2022-04-27_final
2022-05-04 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2022-05-04_final
2022-05-29 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2022-05-29_final
2022-07-14 10:46:10	ga_s2bm_ard_3-2-1_53HME_2022-07-14_final
2022-08-09 11:05:41	ga_s2bm_ard_3-2-1_52JCN_2022-08-09_final
2022-08-17 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2022-08-17_final
2022-09-07 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-07_final.stac-item
2022-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2022-09-16_final.stac-item
2022-09-20 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2022-09-20_final.stac-item
2022-10-01 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-10-01_final.stac-item
2022-11-16 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2022-11-16_final.stac-item
2023-01-06 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-06_final.stac-item
2023-01-09 11:13:04	ga_s2bm_ard_3-2-1_52KCC_2023-01-09_final.stac-item
2023-06-04 11:31:10	ga_s2bm_ard_3-2-1_51LZF_2023-06-04_nrt.stac-item
2023-06-20 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-06-20_final.stac-item
2023-07-16 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-07-16_final.stac-item
2023-07-27 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2023-07-27_final.stac-item
2023-08-03 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-08-03_final.stac-item
2023-08-13 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2023-08-13_final.stac-item
2023-08-20 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-08-20_final.stac-item
2023-09-19 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2023-09-19_final.stac-item
2023-10-22 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-22_final.stac-item
2023-11-12 11:01:15	ga_s2bm_ard_3-2-1_52LHK_2023-11-12_final.stac-item
2023-11-28 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2023-11-28_final.stac-item
2024-01-02 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-01-02_nrt.stac-item
2024-01-21 11:06:32	ga_s2bm_ard_3-2-1_52HBJ_2024-01-21_nrt.stac-item
2024-01-24 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2024-01-24_final.stac-item
2024-02-09 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2024-02-09_final.stac-item
2024-03-01 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2024-03-01_final.stac-item
2024-03-24 11:12:29	ga_s2bm_ard_3-2-1_52KFE_2024-03-24_final.stac-item
2024-04-29 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2024-04-29_final.stac-item
2024-05-29 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-05-29_nrt.stac-item
2024-05-30 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2024-05-30_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