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
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KBD_2017-11-19_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52LBK_2017-11-19_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-11-28_final
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52JFN_2017-11-30_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52JBT_2017-12-26_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JKM_2018-02-26_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHU_2018-03-10_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKN_2018-03-21_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HXD_2018-05-25_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQJ_2018-06-20_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HLH_2018-06-26_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HLH_2018-07-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNR_2018-07-03_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51LVC_2018-08-02_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNM_2018-10-14_final
2018-11-11 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2018-11-11_final
2018-11-17 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-17_final
2018-12-01 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2018-12-01_final
2018-12-01 11:13:40	ga_s2bm_ard_3-2-1_52KEV_2018-12-01_final
2018-12-17 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-17_final
2018-12-27 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2018-12-27_final
2019-01-03 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-01-03_final
2019-01-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2019-01-05_final
2019-04-02 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2019-04-02_final
2019-07-05 11:36:43	ga_s2bm_ard_3-2-1_50HQK_2019-07-05_final
2019-07-11 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-07-11_final
2019-07-16 11:06:33	ga_s2bm_ard_3-2-1_52HBK_2019-07-16_final
2019-07-19 11:13:24	ga_s2bm_ard_3-2-1_52KEB_2019-07-19_final
2019-10-20 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2019-10-20_final
2019-11-15 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-11-15_final
2019-12-15 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2019-12-15_final
2019-12-25 11:45:34	ga_s2bm_ard_3-2-1_50JNP_2019-12-25_final
2020-01-02 11:05:03	ga_s2bm_ard_3-2-1_52JCQ_2020-01-02_final
2020-01-05 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2020-01-05_final
2020-02-27 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2020-02-27_final
2020-03-02 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-03-02_final
2020-03-02 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2020-03-02_final
2020-05-11 11:04:20	ga_s2bm_ard_3-2-1_52JDT_2020-05-11_final
2020-05-21 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2020-05-21_final
2020-05-27 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2020-05-27_final
2020-07-23 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2020-07-23_final
2020-08-11 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-11_final
2020-11-16 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2020-11-16_final
2020-12-10 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2020-12-10_final
2020-12-20 11:15:21	ga_s2bm_ard_3-2-1_51JYJ_2020-12-20_final
2020-12-23 11:22:05	ga_s2bm_ard_3-2-1_51KZB_2020-12-23_final
2021-01-03 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-01-03_final
2021-01-23 10:53:32	ga_s2bm_ard_3-2-1_52KGA_2021-01-23_final
2021-02-11 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2021-02-11_final
2021-03-18 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2021-03-18_final
2021-03-23 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-23_final
2021-04-22 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2021-04-22_final
2021-05-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-05-14_final
2021-05-18 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-05-18_final
2021-06-17 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-06-17_final
2021-06-21 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2021-06-21_final
2021-08-24 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-08-24_final
2021-08-24 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2021-08-24_final
2021-09-16 11:13:21	ga_s2bm_ard_3-2-1_52KBB_2021-09-16_final
2021-10-01 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-10-01_final
2021-10-18 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-18_final
2021-10-19 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-19_final
2021-11-09 10:55:34	ga_s2bm_ard_3-2-1_52JEN_2021-11-09_final
2021-11-18 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2021-11-18_final
2021-11-20 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-11-20_final
2022-01-21 11:04:24	ga_s2bm_ard_3-2-1_52JFS_2022-01-21_final
2022-02-02 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-02_final
2022-02-12 11:43:52	ga_s2bm_ard_3-2-1_51KUQ_2022-02-12_final
2022-02-12 11:45:26	ga_s2bm_ard_3-2-1_50JQP_2022-02-12_final
2022-02-12 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2022-02-12_final
2022-02-19 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2022-02-19_final
2022-03-28 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2022-03-28_final
2022-04-05 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2022-04-05_final
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final
2022-05-14 11:14:30	ga_s2bm_ard_3-2-1_52JDS_2022-05-14_final
2022-07-29 11:36:04	ga_s2bm_ard_3-2-1_51JUG_2022-07-29_final
2022-08-01 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2022-08-01_final
2022-09-04 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2022-09-04_final.stac-item
2022-09-30 13:21:43	ga_s2bm_ard_3-2-1_47LKG_2022-09-30_interim.stac-item
2022-11-23 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2022-11-23_final.stac-item
2022-11-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-11-26_final.stac-item
2022-11-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-11-26_final.stac-item
2023-01-06 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2023-01-06_final.stac-item
2023-01-09 11:12:25	ga_s2bm_ard_3-2-1_52KFE_2023-01-09_final.stac-item
2023-01-25 11:31:03	ga_s2bm_ard_3-2-1_52LBL_2023-01-25_nrt.stac-item
2023-04-19 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2023-04-19_final.stac-item
2023-05-19 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-05-19_final.stac-item
2023-05-31 11:55:53	ga_s2bm_ard_3-2-1_50JNN_2023-05-31_final.stac-item
2023-06-07 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-07_final.stac-item
2023-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-06-21_final.stac-item
2023-06-27 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-06-27_final.stac-item
2023-07-02 10:53:05	ga_s2bm_ard_3-2-1_52KHC_2023-07-02_final.stac-item
2023-08-31 10:55:47	ga_s2bm_ard_3-2-1_52JGM_2023-08-31_final.stac-item
2023-11-17 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-11-17_nrt.stac-item
2023-11-29 10:53:58	ga_s2bm_ard_3-2-1_52KGU_2023-11-29_final.stac-item
2023-12-18 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2023-12-18_final.stac-item
2024-02-25 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2024-02-25_final.stac-item
2024-03-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2024-03-07_final.stac-item
2024-04-03 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2024-04-03_final.stac-item
2024-05-22 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2024-05-22_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