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
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-25_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPG_2018-01-24_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JVF_2018-03-29_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_50JQP_2018-04-01_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JMM_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JPL_2018-04-04_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JWF_2018-04-05_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2018-04-14_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HXE_2018-04-15_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQQ_2018-04-24_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-05-30_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPG_2018-06-20_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHS_2018-07-19_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JUF_2018-08-09_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUB_2018-08-22_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-04_final.stac-item
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQD_2018-09-14_final.stac-item
2019-02-08 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2019-02-08_final.stac-item
2019-03-14 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-14_final.stac-item
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-15 12:05:57	ga_s2bm_ard_3-2-1_50JLN_2019-04-15_final
2019-04-23 11:27:01	ga_s2bm_ard_3-2-1_51HWC_2019-04-23_final.stac-item
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-20 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-05-20_final.stac-item
2019-05-25 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-25_final
2019-06-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-06-01_final
2019-06-08 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-06-08_final
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-06-11 11:54:15	ga_s2bm_ard_3-2-1_50KNV_2019-06-11_final
2019-06-21 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-21_final
2019-09-17 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-09-17_final.stac-item
2019-11-12 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2019-11-12_final.stac-item
2019-12-02 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-02_final
2019-12-15 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2019-12-15_final
2019-12-16 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2019-12-16_final
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-01-24 11:42:21	ga_s2bm_ard_3-2-1_51KVA_2020-01-24_final
2020-04-13 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-04-13_final
2020-04-20 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2020-04-20_final
2020-07-05 11:53:01	ga_s2bm_ard_3-2-1_50KRD_2020-07-05_final
2020-07-18 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-18_final
2020-08-17 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-08-17_final
2020-09-03 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-09-03_final
2020-09-20 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-09-20_final
2020-09-27 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-09-27_final
2020-09-27 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-09-27_final
2020-10-10 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2020-10-10_final.stac-item
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-16_final
2020-10-29 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2020-10-29_final
2020-10-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-10-30_final
2020-12-02 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2020-12-02_final.stac-item
2020-12-22 11:52:59	ga_s2bm_ard_3-2-1_50KQD_2020-12-22_final.stac-item
2021-01-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2021-01-12_final
2021-04-12 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2021-04-12_final
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-04-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-04-15_final
2021-05-28 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-05-28_final.stac-item
2021-06-13 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2021-06-13_final
2021-06-17 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-06-17_final
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final
2021-07-07 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2021-07-07_final.stac-item
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final
2021-07-30 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2021-07-30_final
2021-07-30 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2021-07-30_final
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-08-29 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-08-29_final
2021-09-06 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2021-09-06_final.stac-item
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final
2021-12-24 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-12-24_final
2022-02-15 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2022-02-15_final
2022-03-13 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2022-03-13_final.stac-item
2022-03-20 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2022-03-20_final
2022-04-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2022-04-03_final
2022-05-06 11:52:59	ga_s2bm_ard_3-2-1_50KQD_2022-05-06_final.stac-item
2022-05-23 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2022-05-23_final.stac-item
2022-06-15 11:53:06	ga_s2bm_ard_3-2-1_50KQD_2022-06-15_final.stac-item
2022-07-29 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2022-07-29_final
2022-08-04 11:53:07	ga_s2bm_ard_3-2-1_50KQD_2022-08-04_final.stac-item
2022-08-11 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2022-08-11_final.stac-item
2022-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-19_final.stac-item
2022-09-24 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2022-09-24_final.stac-item
2022-12-02 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2022-12-02_final.stac-item
2022-12-22 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2022-12-22_final.stac-item
2023-03-19 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-03-19_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-05-21 11:52:39	ga_s2bm_ard_3-2-1_50KQF_2023-05-21_final.stac-item
2023-05-25 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-05-25_final.stac-item
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final.stac-item
2023-06-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-06-13_final.stac-item
2023-06-23 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-06-23_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2023-07-24_final.stac-item
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-08-12_final.stac-item
2023-10-08 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2023-10-08_final.stac-item
2023-11-14 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-11-14_final.stac-item
2023-11-21 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-11-21_final.stac-item
2024-01-27 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2024-01-27_final.stac-item
2024-03-06 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2024-03-06_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