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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KTT_2017-11-05_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JZM_2017-11-06_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVS_2018-01-14_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JBM_2018-01-15_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_51KZT_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTM_2018-02-20_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTD_2018-08-09_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JKM_2018-09-04_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HVD_2018-10-15_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JYH_2018-10-25_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXU_2018-10-28_final
2018-11-24 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2018-11-24_final
2019-03-14 11:25:31	ga_s2bm_ard_3-2-1_51JYH_2019-03-14_final
2019-04-13 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2019-04-13_final
2019-04-29 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2019-04-29_final
2019-05-10 11:15:47	ga_s2bm_ard_3-2-1_51JYH_2019-05-10_final
2019-05-23 11:26:38	ga_s2bm_ard_3-2-1_51HVE_2019-05-23_final
2019-07-01 11:56:31	ga_s2bm_ard_3-2-1_50JML_2019-07-01_final
2019-07-29 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-08-25 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2019-08-25_final
2019-10-20 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2019-10-20_final
2019-12-15 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2019-12-15_final
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-21_final
2019-12-22 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2019-12-22_final
2020-01-01 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2020-01-01_final
2020-01-08 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2020-01-08_final
2020-01-09 10:55:58	ga_s2bm_ard_3-2-1_52JEL_2020-01-09_final
2020-01-30 12:05:21	ga_s2bm_ard_3-2-1_49JGK_2020-01-30_final
2020-02-07 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2020-02-07_final
2020-02-10 11:34:59	ga_s2bm_ard_3-2-1_51JTL_2020-02-10_final
2020-02-27 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2020-02-27_final
2020-03-11 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2020-03-11_final
2020-04-20 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-04-20_final
2020-05-14 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2020-05-14_final
2020-06-02 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-06-02_final
2020-06-13 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2020-06-13_final
2020-07-08 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-07-08_final
2020-07-13 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2020-07-13_final
2020-07-18 12:04:08	ga_s2bm_ard_3-2-1_50KMV_2020-07-18_final
2020-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-08-12_final
2020-11-26 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2020-11-26_final
2020-12-10 11:15:19	ga_s2bm_ard_3-2-1_52JBP_2020-12-10_final
2021-01-18 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2021-01-18_final
2021-02-11 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-02-11_final
2021-03-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-12_final
2021-03-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-03-22_final
2021-04-11 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2021-04-11_final
2021-07-23 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2021-07-23_final
2021-08-16 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-08-16_final
2021-09-26 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2021-09-26_final
2021-09-28 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-09-28_final
2021-10-09 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-10-09_final
2021-10-12 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-10-12_final.stac-item
2021-10-19 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2021-10-19_final
2022-01-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2022-01-17_final
2022-01-30 11:32:16	ga_s2bm_ard_3-2-1_51KYA_2022-01-30_final
2022-02-11 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2022-02-11_final
2022-02-12 11:43:56	ga_s2bm_ard_3-2-1_50KRV_2022-02-12_final
2022-03-21 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-03-21_final
2022-05-04 11:14:48	ga_s2bm_ard_3-2-1_52JBR_2022-05-04_final
2022-05-12 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2022-05-12_final
2022-07-02 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-07-02_final
2022-07-29 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-07-29_final
2022-08-04 11:55:20	ga_s2bm_ard_3-2-1_50JPQ_2022-08-04_final.stac-item
2022-08-25 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2022-08-25_final
2022-09-01 12:51:00	ga_s2bm_ard_3-2-1_48LXP_2022-09-01_interim.stac-item
2022-09-30 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-09-30_interim.stac-item
2022-10-10 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-10-10_final.stac-item
2022-11-10 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-11-10_interim.stac-item
2022-11-12 13:31:38	ga_s2bm_ard_3-2-1_47LKG_2022-11-12_interim.stac-item
2022-11-17 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-11-17_final.stac-item
2022-11-23 11:22:41	ga_s2bm_ard_3-2-1_51KYV_2022-11-23_final.stac-item
2022-11-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2022-11-23_final.stac-item
2022-12-30 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-12-30_final.stac-item
2023-01-31 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2023-01-31_nrt.stac-item
2023-02-24 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2023-02-24_final.stac-item
2023-04-18 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2023-04-18_final.stac-item
2023-05-05 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-05-05_final.stac-item
2023-05-24 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-05-24_final.stac-item
2023-06-11 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-06-11_nrt.stac-item
2023-06-20 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-06-20_final.stac-item
2023-07-03 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-07-03_final.stac-item
2023-07-05 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-07-05_final.stac-item
2023-07-14 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-07-14_final.stac-item
2023-08-16 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-08-16_final.stac-item
2023-08-29 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-08-29_nrt.stac-item
2023-09-11 12:05:23	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-11-04 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-11-04_final.stac-item
2023-12-27 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-12-27_final.stac-item
2024-01-04 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-01-04_final.stac-item
2024-01-11 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2024-01-11_final.stac-item
2024-01-13 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2024-01-13_final.stac-item
2024-01-23 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2024-01-23_final.stac-item
2024-01-24 11:14:30	ga_s2bm_ard_3-2-1_52JDS_2024-01-24_final.stac-item
2024-02-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-02-18_final.stac-item
2024-03-10 11:32:17	ga_s2bm_ard_3-2-1_51KYA_2024-03-10_final.stac-item
2024-03-14 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2024-03-14_final.stac-item
2024-05-09 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2024-05-09_final.stac-item
2024-05-12 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2024-05-12_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