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
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HPK_2018-01-01_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPJ_2018-01-24_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LXD_2018-03-02_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HPK_2018-05-04_final
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52JDR_2018-06-21_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGJ_2018-06-29_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_51HTC_2018-07-20_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HVD_2018-08-06_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVV_2018-10-08_final
2018-12-17 11:31:54	ga_s2bm_ard_3-2-1_51LWC_2018-12-17_final
2019-01-07 11:06:16	ga_s2bm_ard_3-2-1_52HDK_2019-01-07_final.stac-item
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final
2019-02-05 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-02-05_final
2019-02-14 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-02-14_final
2019-03-10 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2019-03-10_final
2019-05-06 11:34:22	ga_s2bm_ard_3-2-1_51KVP_2019-05-06_final
2019-08-04 11:34:51	ga_s2bm_ard_3-2-1_51JVM_2019-08-04_final
2019-08-13 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-08-13_final
2019-08-14 11:32:50	ga_s2bm_ard_3-2-1_51KWV_2019-08-14_final
2019-11-11 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-11-11_final
2019-12-08 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2019-12-08_final
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final
2020-01-25 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2020-01-25_final.stac-item
2020-01-29 10:55:41	ga_s2bm_ard_3-2-1_52JEM_2020-01-29_final
2020-01-31 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2020-01-31_final
2020-02-03 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2020-02-03_final
2020-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-14_final.stac-item
2020-04-14 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-04-14_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-26 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-07-09 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-07-09_final
2020-08-16 10:55:52	ga_s2bm_ard_3-2-1_52JEM_2020-08-16_final
2020-08-21 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-21_final
2020-09-03 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2020-09-03_final
2020-09-07 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2020-09-07_final
2020-09-17 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-09-17_final
2020-10-23 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-10-23_final
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-12-26 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2020-12-26_final
2021-01-09 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2021-01-09_final
2021-01-22 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2021-01-22_final
2021-01-31 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-01-31_final
2021-02-04 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2021-02-04_final
2021-02-24 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2021-02-24_final
2021-03-13 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-03-13_final
2021-04-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2021-04-05_final
2021-04-19 11:15:13	ga_s2bm_ard_3-2-1_52JCP_2021-04-19_final
2021-04-22 11:24:49	ga_s2bm_ard_3-2-1_51JXL_2021-04-22_final
2021-05-28 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2021-05-28_final
2021-06-01 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2021-06-01_final
2021-07-17 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2021-07-17_final
2021-08-03 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-08-03_final
2021-09-02 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-02_final
2021-09-16 11:13:25	ga_s2bm_ard_3-2-1_51KZS_2021-09-16_final
2021-09-16 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2021-09-16_final
2021-09-25 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-09-25_final
2021-09-25 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-09-25_final
2021-10-02 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-10-02_final
2021-10-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-10-04_final
2021-11-11 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-11-11_final
2021-11-28 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2021-11-28_final
2022-01-10 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2022-01-10_final
2022-02-26 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-02-26_final
2022-03-24 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2022-03-24_final
2022-03-24 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-24_final
2022-03-25 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2022-03-25_final
2022-05-17 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2022-05-17_final
2022-05-20 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2022-05-20_final
2022-05-24 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2022-05-24_final
2022-06-06 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2022-06-06_final
2022-07-12 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2022-07-12_final
2022-07-20 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2022-07-20_final.stac-item
2022-07-23 11:17:04	ga_s2bm_ard_3-2-1_51HWC_2022-07-23_final.stac-item
2022-08-05 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-08-05_final
2022-08-08 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2022-08-08_final
2022-08-21 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-08-21_final
2022-08-28 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2022-08-28_final
2022-10-11 11:14:22	ga_s2bm_ard_3-2-1_52JBT_2022-10-11_final.stac-item
2022-11-06 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2022-11-06_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-01-15 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2023-01-15_final.stac-item
2023-01-28 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-28_final.stac-item
2023-02-07 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2023-02-07_final.stac-item
2023-02-21 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2023-02-21_final.stac-item
2023-04-02 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2023-04-02_final.stac-item
2023-04-15 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-04-15_final.stac-item
2023-04-19 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2023-04-19_final.stac-item
2023-05-05 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2023-05-05_final.stac-item
2023-06-17 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-06-17_final.stac-item
2023-07-14 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2023-07-14_final.stac-item
2023-07-27 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2023-07-27_final.stac-item
2023-10-25 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-10-25_final.stac-item
2023-11-14 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-11-14_final.stac-item
2023-11-20 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-20_final.stac-item
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-12-10_final.stac-item
2023-12-27 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-12-27_final.stac-item
2023-12-31 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-12-31_final.stac-item
2024-02-23 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2024-02-23_final.stac-item
2024-04-01 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2024-04-01_final.stac-item
2024-04-26 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2024-04-26_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