Impact of Increased Temperatures on Soil Moisture and Vegetation Condition | ||||||||
Spatial patterns of the correlations between the NDVI and the extreme-high-temperature indices in North China from 1982 to 2015 (Source: Yang, Q., Jiang, C. and Ding, T., 2023. Impacts of Extreme-High-Temperature Events on Vegetation | ||||||||
Product Category | ||||||||
|
| |||||||
Financial Domains | ||||||||
| ||||||||
User requirements | ||||||||
UN41: Need to monitor the impact of increased temperatures on assets. | ||||||||
Description | ||||||||
This product offers a comprehensive understanding of how temperature changes affect soil moisture levels and the overall health of vegetation. Such information is invaluable for financial institutions, investors, and insurers as it enables them to evaluate climate-related risks associated with agricultural investments, land portfolios, and insurance underwriting. This product is generated by analysing the correlation between temperature maps, soil moisture data and vegetation indices that have been generated through the EO dataset. | ||||||||
Spatial Coverage Target | ||||||||
Asset level | ||||||||
Data Throughput | ||||||||
Rapid tasking Data availability |
|
| ||||||
PRODUCT SPECIFICATIONS | ||||||||
Main processing steps | The first stage is to generate time series maps of the temperature, soil moisture, and vegetation indices over the asset. These data can be downloaded directly from open access sources such as those provided by Copernicus, MODIS, or EUMETSAT. Subsequently, time series analysis would be applied to gain insight into the correlation between the variables. | |||||||
Input data sources | Optical: Sentinel-2&3 to calculate vegetation indices. Radar: N.A Satellite-based products: for soil moisture: ESA C3S SSM, SMOS L2 SSM, H SAF ASCAT SSM, SMAP L4 RZSM, VanderSat, and Soil Water Index (SWI) from Copernicus Land Services. Reanalysis products: Temperature data from ERA5 land Supporting data: N.A | |||||||
Accessibility | Sentinel-2&3, ESA C3S SSM, SMOS L2 SSM, SWI, and ERA5 land are freely and publicly available through ESA. H SAF ASCAT SSM: is publicly and freely available from EUMETSAT. SMAP L4 RZSM: is publicly and freely available from NASA. VanderSat is commercially available through VanderSat. | |||||||
Spatial resolution | Sentinel-2: 10 m Sentinel-3: 300 m ESA C3S SSM: 0.25° SMOS L2 SSM: 36 km SWI: 0.1° globally and 1 km over Europe H SAF ASCAT SSM: 6.25 km & 12.5 km SMAP L4 RZSM: 9 km VanderSat: 100m ERA5 land: 0.1° | |||||||
Frequency (Temporal resolution) | Sentinel-2: ~ 6 days Sentinel-3: 1-2 days ESA C3S SSM: Daily SMOS L2 SSM: 1-2 days SWI: daily H SAF ASCAT SSM: 1-2 days SMAP L4 RZSM: Daily VanderSat: Daily ERA5 land: Hourly | |||||||
Latency | Sentinel-2: ≤ 1 day Sentinel-3: ≤ 1 day ESA C3S SSM: ~ 10 days SMOS L2 SSM: 1 day SWI: 1-2 days H SAF ASCAT SSM: 1 day SMAP L4 RZSM: 7 days VanderSat: N.A ERA5: ≤ 1 day | |||||||
Geographical scale coverage | Globally | |||||||
Delivery/ output format | Data type: Raster File format: GeoTIFF | |||||||
Accuracies | Thematic accuracy: 80-90% Spatial accuracy: 1.5-2 pixels of input data | |||||||
Constraints and limitations |
| |||||||
User's level of knowledge and skills to extract information and perform further analysis on the EO products. | Skills: Essential Knowledge: Essential |
P28: Impact of increased temperatures on soil moisture and vegetation condition | |
Maturity score | |
Mean: 2.3 | STD: 0.75 |
Constraints and limitations · Cloud presence · Ground truth data is important for validation purposes | |
Relevant user needs UN41: Need to monitor the impact of increased temperatures on assets. | |
R&D gaps · The low spatial resolution of products for temperature and soil moisture · Lack of long multitemporal EO series | |
Potential improvements drivers · Higher spatial and temporal resolutions EO data for temperature and soil moisture data · More validation of the product is required | |
Utilisation level review | |
Utilisation score | |
Mean: 2.20 | STD: 0.75 |
No utilisation · Unawareness of the existence of this EO product Low utilisation · Unawareness of the existence of commercial EO products with better specifications · estimations Medium utilisation · Unawareness of the existence of the best available commercial EO product with better specifications. High utilisation | |
Critical gaps related to relevant user needs | |
Guideline gap UN41: Need to monitor the impact of increased temperatures on assets |
This page has no comments.