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
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KBA_2017-07-29_final
2017-12-23 10:57:04	ga_s2bm_ard_3-2-1_52LGM_2017-12-23_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53KNR_2018-02-15_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53KLA_2018-03-20_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KCA_2018-05-05_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52KDC_2018-05-15_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KMB_2018-06-06_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53HME_2018-07-25_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JUG_2018-07-27_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JBL_2018-07-31_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KXR_2018-09-15_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_53LLD_2018-10-06_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53HPA_2018-10-10_final
2018-11-19 10:35:53	ga_s2bm_ard_3-2-1_53HQE_2018-11-19_final
2018-11-30 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2018-11-30_final
2018-12-23 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2018-12-23_final
2019-01-03 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2019-01-03_final
2019-01-16 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-01-16_final
2019-01-17 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2019-01-17_final
2019-03-10 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2019-03-10_final
2019-04-01 10:41:51	ga_s2bm_ard_3-2-1_53KQB_2019-04-01_final
2019-04-14 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2019-04-14_final
2019-06-07 10:36:03	ga_s2bm_ard_3-2-1_53JMF_2019-06-07_final
2019-06-09 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-06-09_final
2019-08-19 10:43:54	ga_s2bm_ard_3-2-1_53KPP_2019-08-19_final
2019-11-15 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2019-11-15_final
2019-11-19 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2019-11-19_final
2019-12-03 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2019-12-03_final
2019-12-16 11:15:59	ga_s2bm_ard_3-2-1_52JCL_2019-12-16_final
2019-12-22 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2019-12-22_final
2019-12-23 11:00:54	ga_s2bm_ard_3-2-1_52LHL_2019-12-23_final
2020-01-12 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2020-01-12_final
2020-01-14 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2020-01-14_final
2020-01-21 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2020-01-21_final
2020-02-06 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2020-02-06_final
2020-02-22 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-02-22_final
2020-02-23 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2020-02-23_final
2020-02-27 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2020-02-27_final
2020-05-12 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2020-05-12_final
2020-06-01 10:36:19	ga_s2bm_ard_3-2-1_53HPD_2020-06-01_final
2020-07-21 10:36:12	ga_s2bm_ard_3-2-1_53HME_2020-07-21_final
2020-08-11 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2020-08-11_final
2020-08-28 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-08-28_final
2020-09-04 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-09-04_final
2020-12-12 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-12-12_final
2020-12-21 10:45:04	ga_s2bm_ard_3-2-1_53JMJ_2020-12-21_final
2021-01-17 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2021-01-17_final
2021-01-22 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2021-01-22_final
2021-01-24 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2021-01-24_final
2021-02-06 10:35:14	ga_s2bm_ard_3-2-1_53JMJ_2021-02-06_final
2021-03-02 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2021-03-02_final
2021-05-23 10:53:57	ga_s2bm_ard_3-2-1_52KHU_2021-05-23_final
2021-05-26 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2021-05-26_final
2021-06-25 11:01:51	ga_s2bm_ard_3-2-1_52LFH_2021-06-25_final
2021-06-26 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2021-06-26_final
2021-07-04 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-07-04_final
2021-08-10 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2021-08-10_final
2021-08-15 10:33:31	ga_s2bm_ard_3-2-1_53KRQ_2021-08-15_final
2021-09-21 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2021-09-21_final
2021-09-26 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2021-09-26_final
2021-11-08 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2021-11-08_final
2021-11-22 11:03:13	ga_s2bm_ard_3-2-1_52KFB_2021-11-22_final
2022-01-22 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2022-01-22_final
2022-01-27 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-01-27_final
2022-02-13 11:15:30	ga_s2bm_ard_3-2-1_52JBN_2022-02-13_final
2022-02-15 11:54:56	ga_s2bm_ard_3-2-1_50JPR_2022-02-15_final
2022-03-29 10:55:31	ga_s2bm_ard_3-2-1_52JEN_2022-03-29_final
2022-06-09 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2022-06-09_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-06-30 11:02:38	ga_s2bm_ard_3-2-1_52KFE_2022-06-30_final
2022-06-30 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2022-06-30_final
2022-07-21 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2022-07-21_final
2022-07-24 10:46:11	ga_s2bm_ard_3-2-1_53HME_2022-07-24_final
2022-07-29 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2022-07-29_final
2022-08-01 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2022-08-01_final.stac-item
2022-08-12 11:10:47	ga_s2bm_ard_3-2-1_52LGM_2022-08-12_final
2022-09-12 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2022-09-12_final.stac-item
2022-10-17 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2022-10-17_final.stac-item
2022-10-18 11:05:51	ga_s2bm_ard_3-2-1_52JCM_2022-10-18_final.stac-item
2022-12-23 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2022-12-23_final.stac-item
2023-01-20 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2023-01-20_final.stac-item
2023-02-28 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2023-02-28_final.stac-item
2023-04-29 11:15:15	ga_s2bm_ard_3-2-1_52JBQ_2023-04-29_final.stac-item
2023-05-03 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2023-05-03_final.stac-item
2023-10-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-10-15_final.stac-item
2023-10-28 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2023-10-28_final.stac-item
2023-11-25 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2023-11-25_final.stac-item
2023-12-15 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2023-12-15_final.stac-item
2024-01-04 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2024-01-04_final.stac-item
2024-01-06 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2024-01-06_final.stac-item
2024-02-01 10:32:59	ga_s2bm_ard_3-2-1_53KRS_2024-02-01_final.stac-item
2024-02-01 10:35:27	ga_s2bm_ard_3-2-1_53JQG_2024-02-01_final.stac-item
2024-02-26 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2024-02-26_final.stac-item
2024-02-26 11:26:12	ga_s2bm_ard_3-2-1_51JUF_2024-02-26_final.stac-item
2024-03-06 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2024-03-06_final.stac-item
2024-03-25 10:45:52	ga_s2bm_ard_3-2-1_53JMF_2024-03-25_final.stac-item
2024-03-27 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2024-03-27_final.stac-item
2024-04-08 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2024-04-08_final.stac-item
2024-04-19 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2024-04-19_final.stac-item
2024-04-26 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_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