Impact of Increased Temperatures on Soil Moisture and Vegetation Condition

Download Product Sheet


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

  • Land use
  • Land cover
  • Natural Disaster
  • Coast Management 
  • Marine
  • Earth's Surface Motion

Financial Domains

  • Investment management 
  • Insurance management 
  • Green finance

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

  • High
  • High

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

  • Low spatial resolution of products for temperature and soil moisture
  • Cloud presence
  • Ground truth data is important for validation purposes

User's level of knowledge and skills to extract information and perform further analysis on the EO products.

Skills: Essential

Knowledge: Essential


Edit


P28: Impact of increased temperatures on soil moisture and vegetation condition

Download the product sheet gap analysis 

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

Edit
  • No labels

This page has no comments.