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
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPT_2017-12-05_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRV_2017-12-25_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JDS_2018-01-12_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KZV_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVP_2018-01-31_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZP_2018-02-17_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52KCD_2018-03-29_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JNM_2018-06-26_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNQ_2018-07-03_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JCM_2018-08-23_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_53HNC_2018-09-07_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HTC_2018-09-18_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HUD_2018-10-15_final
2019-01-06 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2019-01-06_final
2019-03-06 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2019-03-06_final
2019-03-17 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2019-03-17_final
2019-05-17 11:06:00	ga_s2bm_ard_3-2-1_52JCM_2019-05-17_final
2019-06-08 11:45:58	ga_s2bm_ard_3-2-1_50JPN_2019-06-08_final
2019-07-13 10:55:51	ga_s2bm_ard_3-2-1_52JGM_2019-07-13_final
2019-07-29 11:14:17	ga_s2bm_ard_3-2-1_51KZP_2019-07-29_final
2019-09-27 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2019-09-27_final
2019-10-20 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2019-10-20_final
2020-01-08 11:24:03	ga_s2bm_ard_3-2-1_51KYP_2020-01-08_final
2020-01-08 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-01-08_final
2020-02-01 11:02:46	ga_s2bm_ard_3-2-1_52KED_2020-02-01_final
2020-02-04 11:13:27	ga_s2bm_ard_3-2-1_52KDA_2020-02-04_final
2020-03-13 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2020-03-13_final
2020-03-17 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-17_final
2020-03-21 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-03-21_final
2020-04-24 11:16:38	ga_s2bm_ard_3-2-1_51HWD_2020-04-24_final
2020-05-19 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2020-05-19_final
2020-05-25 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-05-25_final
2020-07-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-07-19_final
2020-08-07 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-08-07_final
2020-09-18 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2020-09-18_final
2020-09-22 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2020-09-22_final
2020-10-04 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2020-10-04_final
2020-11-10 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2020-11-10_final
2020-11-20 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2020-11-20_final
2020-12-03 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2020-12-03_final
2020-12-07 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2020-12-07_final
2020-12-10 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2020-12-10_final
2020-12-17 11:01:09	ga_s2bm_ard_3-2-1_52LHK_2020-12-17_final
2020-12-29 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2020-12-29_final
2021-01-16 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2021-01-16_final
2021-01-16 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2021-01-16_final
2021-01-18 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2021-01-18_final
2021-02-23 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2021-02-23_final
2021-04-18 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2021-04-18_final
2021-05-05 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2021-05-05_final
2021-05-05 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-05-05_final
2021-05-09 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2021-05-09_final
2021-05-26 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2021-05-26_final
2021-06-22 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2021-06-22_final
2021-07-05 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2021-07-05_final
2021-07-16 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2021-07-16_final
2021-07-23 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2021-07-23_final
2021-08-10 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-08-10_final
2021-09-01 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-01_final
2021-09-08 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-08_final
2021-10-16 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2021-10-16_final
2021-11-22 11:03:30	ga_s2bm_ard_3-2-1_52KHV_2021-11-22_final
2021-12-17 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2021-12-17_final
2022-03-02 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2022-03-02_final
2022-05-12 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-05-12_final
2022-05-23 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2022-05-23_final
2022-05-31 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2022-05-31_final
2022-06-06 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2022-06-06_final
2022-06-26 11:21:37	ga_s2bm_ard_3-2-1_52LDJ_2022-06-26_final
2022-07-02 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2022-07-02_final
2022-07-16 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-07-16_final
2022-08-01 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-08-01_final
2022-08-02 11:14:46	ga_s2bm_ard_3-2-1_51JYM_2022-08-02_final
2022-11-23 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2022-11-23_final.stac-item
2022-11-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-11-26_final.stac-item
2022-12-17 11:02:50	ga_s2bm_ard_3-2-1_52KED_2022-12-17_final.stac-item
2022-12-20 11:12:41	ga_s2bm_ard_3-2-1_52KFD_2022-12-20_final.stac-item
2023-02-27 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2023-02-27_final.stac-item
2023-03-26 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-03-26_final.stac-item
2023-03-26 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-03-26_final.stac-item
2023-03-31 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2023-03-31_final.stac-item
2023-04-27 10:36:52	ga_s2bm_ard_3-2-1_53HNB_2023-04-27_final.stac-item
2023-05-19 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-05-19_final.stac-item
2023-06-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-06-14_final.stac-item
2023-06-18 11:14:36	ga_s2bm_ard_3-2-1_52JDS_2023-06-18_final.stac-item
2023-06-26 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2023-06-26_final.stac-item
2023-07-03 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-07-03_final.stac-item
2023-10-21 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-21_final.stac-item
2023-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-11-18_final.stac-item
2023-11-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-11-28_final.stac-item
2024-01-14 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2024-01-14_final.stac-item
2024-01-18 10:53:27	ga_s2bm_ard_3-2-1_52KHA_2024-01-18_final.stac-item
2024-01-21 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2024-01-21_final.stac-item
2024-01-21 11:02:00	ga_s2bm_ard_3-2-1_52KGG_2024-01-21_final.stac-item
2024-01-21 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2024-01-21_final.stac-item
2024-03-07 11:21:20	ga_s2bm_ard_3-2-1_51LZE_2024-03-07_final.stac-item
2024-03-07 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2024-03-07_final.stac-item
2024-03-13 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2024-03-13_final.stac-item
2024-03-21 11:01:50	ga_s2bm_ard_3-2-1_52LFH_2024-03-21_final.stac-item
2024-05-11 10:36:59	ga_s2bm_ard_3-2-1_53HPA_2024-05-11_interim.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