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
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HUD_2017-09-23_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50HQK_2017-11-12_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXQ_2018-01-01_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_51HTC_2018-02-10_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HMH_2018-03-25_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51HWD_2018-05-15_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HXD_2018-05-25_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNQ_2018-10-04_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVK_2018-11-04_final
2018-12-21 11:13:52	ga_s2bm_ard_3-2-1_52KEU_2018-12-21_final
2019-01-20 11:12:46	ga_s2bm_ard_3-2-1_52KED_2019-01-20_final
2019-01-23 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2019-01-23_final
2019-01-26 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2019-01-26_final
2019-04-06 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2019-04-06_final
2019-05-16 11:32:53	ga_s2bm_ard_3-2-1_51KXV_2019-05-16_final
2019-06-09 11:16:13	ga_s2bm_ard_3-2-1_52JBL_2019-06-09_final
2019-07-22 11:22:35	ga_s2bm_ard_3-2-1_51KYA_2019-07-22_final
2019-08-14 11:36:44	ga_s2bm_ard_3-2-1_50HPK_2019-08-14_final
2019-12-16 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2019-12-16_final
2019-12-19 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2019-12-19_final
2019-12-22 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2019-12-22_final
2020-01-12 11:04:30	ga_s2bm_ard_3-2-1_52JDS_2020-01-12_final
2020-01-30 12:06:02	ga_s2bm_ard_3-2-1_50JKM_2020-01-30_final
2020-02-14 11:12:33	ga_s2bm_ard_3-2-1_52KCE_2020-02-14_final
2020-05-30 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2020-05-30_final
2020-06-05 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-06-05_final
2020-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2020-06-22_final
2020-07-09 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2020-07-09_final
2020-10-04 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-10-04_final
2020-10-30 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-10-30_final
2020-11-06 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-11-06_final
2020-12-03 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2020-12-03_final
2020-12-10 11:14:35	ga_s2bm_ard_3-2-1_52JBS_2020-12-10_final
2021-01-03 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2021-01-03_final
2021-01-08 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-01-08_final
2021-01-16 11:04:16	ga_s2bm_ard_3-2-1_52JGT_2021-01-16_final
2021-02-24 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2021-02-24_final
2021-03-13 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2021-03-13_final
2021-03-13 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-03-13_final
2021-03-20 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2021-03-20_final
2021-04-26 11:03:49	ga_s2bm_ard_3-2-1_52KDV_2021-04-26_final
2021-05-03 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2021-05-03_final
2021-05-03 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2021-05-03_final
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final
2021-05-24 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-05-24_final
2021-05-28 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2021-05-28_final
2021-06-03 12:04:07	ga_s2bm_ard_3-2-1_50KMV_2021-06-03_final
2021-06-21 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-06-21_final
2021-06-22 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2021-06-22_final
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final
2021-07-27 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2021-07-27_final
2021-07-30 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2021-07-30_final
2021-08-03 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-08-03_final
2021-10-26 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2021-10-26_final
2021-11-05 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2021-11-05_final
2021-11-09 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2021-11-09_final
2021-11-12 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2021-11-12_final
2021-11-18 11:25:03	ga_s2bm_ard_3-2-1_51JWL_2021-11-18_final
2021-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-11-20_final
2021-11-24 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-11-24_final
2022-03-01 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-03-01_final
2022-04-04 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2022-04-04_final
2022-04-05 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2022-04-05_final
2022-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-04-09_final
2022-05-23 11:43:51	ga_s2bm_ard_3-2-1_50KQA_2022-05-23_final
2022-07-16 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-07-16_final.stac-item
2022-08-01 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2022-08-01_final.stac-item
2022-08-12 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2022-08-12_final
2022-09-03 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2022-09-03_final.stac-item
2022-10-31 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2022-10-31_final.stac-item
2022-11-20 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2022-11-20_final.stac-item
2022-11-29 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-11-29_interim.stac-item
2022-12-23 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2022-12-23_final.stac-item
2022-12-29 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-12-29_final.stac-item
2023-03-12 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-03-12_final.stac-item
2023-03-29 11:45:32	ga_s2bm_ard_3-2-1_51JTJ_2023-03-29_final.stac-item
2023-04-02 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2023-04-02_final.stac-item
2023-04-12 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2023-04-12_final.stac-item
2023-04-12 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-04-12_final.stac-item
2023-04-26 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2023-04-26_final.stac-item
2023-05-01 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2023-05-01_final.stac-item
2023-05-19 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-05-19_nrt.stac-item
2023-05-26 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-05-26_final.stac-item
2023-06-21 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-06-21_final.stac-item
2023-06-27 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-06-27_final.stac-item
2023-07-01 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-01_final.stac-item
2023-07-03 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-07-03_final.stac-item
2023-08-13 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-08-13_final.stac-item
2023-09-02 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-09-02_nrt.stac-item
2023-11-08 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-11-08_final.stac-item
2023-11-28 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-11-28_final.stac-item
2024-01-04 11:12:46	ga_s2bm_ard_3-2-1_52KED_2024-01-04_final.stac-item
2024-01-13 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2024-01-13_final.stac-item
2024-01-23 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2024-01-23_final.stac-item
2024-01-27 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2024-01-27_final.stac-item
2024-01-27 11:22:47	ga_s2bm_ard_3-2-1_52KCD_2024-01-27_final.stac-item
2024-01-30 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2024-01-30_final.stac-item
2024-03-07 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2024-03-07_final.stac-item
2024-04-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-11_final.stac-item
2024-04-25 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2024-04-25_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

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