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
2017-07-23 10:52:16	ga_s2bm_ard_3-2-1_53KKS_2017-07-23_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KKU_2017-07-24_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53KQR_2017-09-05_final
2017-09-21 10:52:04	ga_s2bm_ard_3-2-1_53KKQ_2017-09-21_final
2017-10-04 10:57:00	ga_s2bm_ard_3-2-1_52KHG_2017-10-04_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53KRS_2018-01-03_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KNP_2018-01-26_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52KGD_2018-03-03_final
2018-03-17 10:37:20	ga_s2bm_ard_3-2-1_53KNS_2018-03-17_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54JTM_2018-03-31_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52JBL_2018-04-05_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JMJ_2018-04-16_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KTP_2018-04-24_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52JGM_2018-05-09_final
2018-05-16 10:37:25	ga_s2bm_ard_3-2-1_53KQA_2018-05-16_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JNT_2018-05-17_final
2018-06-18 10:47:23	ga_s2bm_ard_3-2-1_53KKP_2018-06-18_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53KKP_2018-06-28_final
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_54HYJ_2018-09-11_final
2018-11-12 10:43:35	ga_s2bm_ard_3-2-1_53KNQ_2018-11-12_final
2018-11-30 11:43:43	ga_s2bm_ard_3-2-1_51KTR_2018-11-30_final
2019-01-07 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2019-01-07_final
2019-03-12 10:42:33	ga_s2bm_ard_3-2-1_53KPU_2019-03-12_final
2019-03-15 10:52:35	ga_s2bm_ard_3-2-1_53KMU_2019-03-15_final
2019-04-17 11:03:08	ga_s2bm_ard_3-2-1_52KFC_2019-04-17_final
2019-05-19 11:44:25	ga_s2bm_ard_3-2-1_51KTP_2019-05-19_final
2019-05-24 10:54:53	ga_s2bm_ard_3-2-1_52JGR_2019-05-24_final
2019-06-28 11:44:28	ga_s2bm_ard_3-2-1_50KQU_2019-06-28_final
2019-07-13 10:52:18	ga_s2bm_ard_3-2-1_53KMA_2019-07-13_final
2019-07-23 10:55:04	ga_s2bm_ard_3-2-1_53JKK_2019-07-23_final
2019-09-07 11:12:37	ga_s2bm_ard_3-2-1_52KDE_2019-09-07_final
2019-09-08 10:43:07	ga_s2bm_ard_3-2-1_53KPS_2019-09-08_final
2019-09-17 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2019-09-17_final
2019-09-24 11:04:00	ga_s2bm_ard_3-2-1_52KFU_2019-09-24_final
2019-12-07 10:40:45	ga_s2bm_ard_3-2-1_53LQF_2019-12-07_final.stac-item
2020-01-03 10:33:30	ga_s2bm_ard_3-2-1_53KQQ_2020-01-03_final
2020-01-04 10:05:36	ga_s2bm_ard_3-2-1_54JXL_2020-01-04_final
2020-06-03 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2020-06-03_final
2020-08-15 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2020-08-15_final
2020-09-08 11:05:07	ga_s2bm_ard_3-2-1_52JDQ_2020-09-08_final
2020-09-11 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2020-09-11_final
2020-09-25 10:54:14	ga_s2bm_ard_3-2-1_53JKN_2020-09-25_final
2020-09-27 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-09-27_final
2020-11-22 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2020-11-22_final
2021-01-01 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2021-01-01_final.stac-item
2021-02-27 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2021-02-27_final
2021-03-11 10:43:54	ga_s2bm_ard_3-2-1_53KMP_2021-03-11_final
2021-04-19 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2021-04-19_final
2021-05-18 11:45:17	ga_s2bm_ard_3-2-1_50JQQ_2021-05-18_final
2021-05-22 11:21:39	ga_s2bm_ard_3-2-1_52LBJ_2021-05-22_final
2021-06-11 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2021-06-11_final
2021-07-02 10:54:57	ga_s2bm_ard_3-2-1_53JKK_2021-07-02_final
2021-07-11 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2021-07-11_final
2021-07-27 11:44:04	ga_s2bm_ard_3-2-1_50KRV_2021-07-27_final
2021-08-21 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2021-08-21_final
2021-08-21 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2021-08-21_final
2021-09-30 10:53:39	ga_s2bm_ard_3-2-1_53KLQ_2021-09-30_final
2021-10-01 10:22:59	ga_s2bm_ard_3-2-1_54KVB_2021-10-01_final
2021-10-01 10:25:31	ga_s2bm_ard_3-2-1_54JTM_2021-10-01_final
2021-10-18 10:16:00	ga_s2bm_ard_3-2-1_54HVK_2021-10-18_final
2021-10-20 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2021-10-20_final
2021-11-04 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2021-11-04_final
2021-11-17 11:54:21	ga_s2bm_ard_3-2-1_50KNU_2021-11-17_final
2021-12-21 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2021-12-21_final
2022-01-16 11:52:44	ga_s2bm_ard_3-2-1_50KQE_2022-01-16_final.stac-item
2022-01-27 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2022-01-27_final
2022-02-05 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2022-02-05_final
2022-03-18 11:21:19	ga_s2bm_ard_3-2-1_52LCK_2022-03-18_final.stac-item
2022-05-18 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2022-05-18_final
2022-07-26 11:21:44	ga_s2bm_ard_3-2-1_52LBJ_2022-07-26_final
2022-08-05 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2022-08-05_final
2022-09-25 10:52:24	ga_s2bm_ard_3-2-1_53KMV_2022-09-25_final.stac-item
2022-11-13 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2022-11-13_final.stac-item
2022-11-14 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-11-14_final.stac-item
2023-01-04 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2023-01-04_final.stac-item
2023-01-13 10:55:23	ga_s2bm_ard_3-2-1_52JGN_2023-01-13_final.stac-item
2023-02-18 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2023-02-18_final.stac-item
2023-02-27 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-02-27_final.stac-item
2023-03-27 11:04:35	ga_s2bm_ard_3-2-1_52JES_2023-03-27_final.stac-item
2023-05-02 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2023-05-02_final.stac-item
2023-05-21 11:53:55	ga_s2bm_ard_3-2-1_50KPA_2023-05-21_final.stac-item
2023-05-22 11:20:24	ga_s2bm_ard_3-2-1_52LDP_2023-05-22_nrt.stac-item
2023-05-22 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2023-05-22_final.stac-item
2023-06-20 10:14:29	ga_s2bm_ard_3-2-1_54JXR_2023-06-20_final.stac-item
2023-06-23 12:04:14	ga_s2bm_ard_3-2-1_50KLV_2023-06-23_final.stac-item
2023-07-05 11:05:07	ga_s2bm_ard_3-2-1_52JEQ_2023-07-05_final.stac-item
2023-07-30 11:52:57	ga_s2bm_ard_3-2-1_50KPE_2023-07-30_nrt.stac-item
2023-08-03 11:31:32	ga_s2bm_ard_3-2-1_51LXE_2023-08-03_nrt.stac-item
2023-08-31 10:53:33	ga_s2bm_ard_3-2-1_53KKR_2023-08-31_final.stac-item
2023-09-14 10:33:23	ga_s2bm_ard_3-2-1_53KQR_2023-09-14_final.stac-item
2023-09-20 10:54:01	ga_s2bm_ard_3-2-1_52KHU_2023-09-20_final.stac-item
2023-09-28 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2023-09-28_final.stac-item
2023-10-21 12:00:53	ga_s2bm_ard_3-2-1_50LPN_2023-10-21_nrt.stac-item
2023-10-29 11:22:11	ga_s2bm_ard_3-2-1_51KZB_2023-10-29_final.stac-item
2023-11-20 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2023-11-20_final.stac-item
2023-12-20 12:06:17	ga_s2bm_ard_3-2-1_49JFG_2023-12-20_nrt.stac-item
2023-12-27 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2023-12-27_final.stac-item
2024-01-17 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2024-01-17_final.stac-item
2024-04-01 12:14:30	ga_s2bm_ard_3-2-1_49KFP_2024-04-01_nrt.stac-item
2024-05-14 10:43:37	ga_s2bm_ard_3-2-1_53KNQ_2024-05-14_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