A5018499817- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Climate change impacts on agriculture
- Soil Moisture and Remote Sensing
- Flood Risk Assessment and Management
- Agricultural risk and resilience
- Disaster Management and Resilience
- Climate variability and models
- Meteorological Phenomena and Simulations
- Climate Change, Adaptation, Migration
- Remote Sensing in Agriculture
- Computational Physics and Python Applications
- Impact of Light on Environment and Health
- Tropical and Extratropical Cyclones Research
- Geographic Information Systems Studies
- Geophysics and Gravity Measurements
- Insurance and Financial Risk Management
- African studies and sociopolitical issues
- Island Studies and Pacific Affairs
- Food Security and Health in Diverse Populations
- Rangeland Management and Livestock Ecology
- Public Relations and Crisis Communication
- Urban Transport and Accessibility
- Environmental and Agricultural Sciences
- Water resources management and optimization
World Bank
2021-2024
World Bank Group
2024
Dana-Farber/Harvard Cancer Center
2019-2023
Harvard University
2020-2023
Harvard University Press
2020
Columbia University
2016-2018
St Anna Children's Hospital
2017
TU Wien
2014-2016
A real-time understanding of the distribution and duration power outages after a major disaster is precursor to minimizing their harmful consequences. Here, we develop an approach for using daily satellite nighttime lights data create spatially disaggregated outage estimates, tracking electricity restoration efforts disasters strike. In contrast existing utility data, these estimates are independent, open, publicly-available, consistently measured across regions that may be serviced by...
Agricultural droughts are extreme events which often a result of interplays between multiple hydro-meteorological processes. Therefore, assessing drought occurrence, extent, duration and intensity is complex requires the combined use variables, such as temperature, rainfall, soil moisture (SM) vegetation state. The benefit using information on SM state that they integrate precipitation, temperature evapotranspiration, making them direct indicators plant available water productivity....
Governments, aid organizations and researchers are struggling with the complexity of detecting monitoring drought events, which leads to weaknesses regarding translation early warnings into action. Embedded in an advanced decision-support framework for Doctors without Borders (Médecins sans Frontières), this study focuses on identifying added-value combining different satellite-derived datasets forecasting Ethiopia. The core is improvement existing index via methodical adaptations...
Governments, aid organizations and people affected by drought are struggling to mitigate the resulting impact on both water resources crops. In this paper we focus improved decision-support for agricultural droughts that threaten livelihoods of living in vulnerable regions. We claim new strategic partnerships required link scientific findings actual user requirements governments turn data streams into useful information decision-support. Furthermore, list several promising approaches,...
Abstract The goal of drought-related weather index insurance (WII) is to protect smallholder farmers against the risk shocks and increase their agricultural productivity. Estimates precipitation vegetation greenness are two dominant satellite datasets. However, ignoring additional moisture- energy-related processes that influence response rainfall leads an incomplete representation hydrologic cycle. This study evaluates added value considering multiple independent satellite-based variables...
Global food production in the developing world occurs within sub-hectare fields that are difficult to identify with moderate resolution satellite imagery. Knowledge about distribution of these is critical security programs. We developed a semi-automated image segmentation approach using wall-to-wall sub-meter imagery high-performance computing map crop area (CA) throughout Tigray, Ethiopia encompasses over 41,000 km2. Multiple processing streams were tested minimize mapping error while...
Abstract. The soil moisture dataset that is generated via the Climate Change Initiative (CCI) of European Space Agency (ESA) (ESA CCI SM) a popular research product. It composed observations from 10 different satellites and aims to exploit individual strengths active (radar) passive (radiometer) sensors, thereby providing surface estimates at spatial resolution 0.25°. However, annual updating cycle limits use ESA SM for operational applications. Therefore, this study proposes an adaptation...
A challenge in addressing climate risk developing countries is that many regions have extremely limited formal data sets, so for these regions, people must rely on technologies like remote sensing solutions. However, this means the necessary weather to design and validate solutions do not exist. Therefore, projects use farmers’ reported perceptions recollections of events, such as drought. if are used management interventions insurance, there may be biases limitations which could potentially...
The Small Island Developing States (SIDS) in the Latin American and Caribbean region are among most vulnerable to climate change, with intensifying more frequent disasters posing a significant threat infrastructure, human life, achieving global Sustainable Development Goals. Urgent regional localized approaches needed for coordinated risk assessment anticipatory action strategies backed by science-informed modeling (e.g., Earth Observation) strong community of support. In this paper, we...
The Central African Republic is one of the world's most vulnerable countries, suffering from chronic poverty, violent conflicts and weak disaster resilience. In collaboration with Doctors without Borders/Médecins Sans Frontières (MSF), this study presents a novel approach to collect information about socio-economic vulnerabilities related malnutrition, access resources coping capacities. first technical test was carried out in North country (sub-prefecture Kabo) May 2015. All activities were...
The Caribbean region is highly vulnerable to multiple hazards. Resultant impacts may be derived from single or cascading risks caused by hydrological-meteorological, seismic, geologic, anthropological triggers, disturbances, events. Studies suggest that event records and data related hazards, risk, damage, loss are limited in this region. National Disaster Risk Reduction (DRR) planning response require of sufficient quantity quality generate actionable information, statistical inferences,...
Introduction The success of anticipatory action (AA) in climate change related disaster risk reduction depends largely on the ability to accurately predict adverse weather events and subsequently take appropriate timely action. current seasonal forecasts obtained through national global forecasting centers such as Zimbabwe Meteorological Services Department (MSD) European Center for Medium-Range Weather Forecasts (ECMWF) have been found several limitations including limited skill...
Advanced parametric financial instruments, like weather index insurance (WII) and risk contingency credit (RCC), support disaster-risk management reduction in the world’s most disaster-prone regions. Simultaneously, satellite data that are capable of cross-checking rainfall estimates, “standard dataset” to develop such safety nets, gaining importance as complementary sources information. This study concentrates on analysis satellite-derived multi-sensor soil moisture (ESA CCI, Version...
Abstract A new generation of climate science translators (CSTs) is currently evolving, both as independent professionals and affiliated with humanitarian agencies. While people in this role represent an opportunity to foster communication collaboration between science, decision-support, policy, decision-making, there are neither clear job profiles nor established criteria for success. Based on analysis opportunities published one the largest development aid portals, we show that demand CSTs...
Abstract. Earth observation is entering a new era where the increasing availability of free and open global satellite data sets combined with computing power offered by modern information technologies opens up possibility to process high-resolution at scale short repeat intervals in fully automatic fashion. This will not only boost higher level earth purely quantitative terms, but can also be expected trigger step change quality usability data. However, technical, scientific, organisational...
Emergencies do not stop at night: Advanced analysis of displacement based on satellite-derived nighttime light observations Around 68.5 million people are currently forcibly displaced.The implementation and monitoring international agreements, which linked to the 2030 agenda (e.g., Sendai Framework), require a standard set metrics for internal displacement.Since nationally owned, validated, credible data difficult obtain, new approaches needed.This article aims support via lights (NTL) from...
Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, management agencies typically use such added-value information only their own decisions. A feedback loop between data suppliers would result in various advantages. First, it could facilitate the near real-time of early warnings derived from social media, linked other sources information. Second, staff aid organizations during...
This study examines the influence of El Niño Southern Oscillation (ENSO) on Jamaica’s rainfall patterns, leveraging CHIRPS data from 1981 to 2021 in 370 locations. Our analysis reveals a distinct ENSO imprint rainfall, with La Niña phases showing consistently higher probability exceeding various thresholds compared Niño. Notably, increases likelihood heavier particularly wet seasons, probabilities 200 mm reaching up 50% during season II. Spatially, total monthly (TMR) is elevated...
Many developing countries strongly depend on agriculture, but the sector is challenged by increasing occurrence of droughts.  Unfortunately, advanced agricultural drought monitoring that can trigger early warning and action still not widely available for many even though it crucial to stakeholders including local regional governments, NGOs, farmers, vulnerable households. Classic tools often rely precipitation data, which are influenced density station data. Recently, satellite soil...
Anticipatory action is an approach that combines early warning information with flexible, pre-positioned funds to trigger actions mitigate the impact of predictable shocks on most vulnerable people. Historically, drought climatic hazard led highest and severe humanitarian impacts in Sahel. This region, according climate projections, will be one deeply affected by change future years, leading considerable changes societies, economies, as well impacting rural communities. While this negative...
Introduction Weather-based index insurance is a financial instrument which allows smallholder farmers to protect themselves against climate shocks such as droughts and floods. In many cases, indices are based on one or more earth observation datasets (e.g., rainfall, soil moisture, vegetative health) partly covering periods of than 40 years. While remote sensing products their associated data have improved over this time, understanding the historical variability trends remains an essential...