Kirsten M. de Beurs

ORCID: 0000-0002-9244-3292
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About
Contact & Profiles
Research Areas
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and Land Use
  • Species Distribution and Climate Change
  • Urban Heat Island Mitigation
  • Remote Sensing and LiDAR Applications
  • Climate change and permafrost
  • Rangeland Management and Livestock Ecology
  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models
  • Cryospheric studies and observations
  • Soil and Environmental Studies
  • Climate change impacts on agriculture
  • Plant and animal studies
  • Ecology and Vegetation Dynamics Studies
  • Atmospheric and Environmental Gas Dynamics
  • Fire effects on ecosystems
  • Tree-ring climate responses
  • Remote-Sensing Image Classification
  • Flood Risk Assessment and Management
  • Insect and Arachnid Ecology and Behavior
  • Isotope Analysis in Ecology
  • Soil and Water Nutrient Dynamics
  • Geological Studies and Exploration
  • Transboundary Water Resource Management

Wageningen University & Research
2001-2025

University of Oklahoma
2014-2024

University of Duisburg-Essen
2020

Texas State University
2017

Virginia Tech
2006-2015

Institute of Mountain Hazards and Environment
2013

Chinese Academy of Sciences
2013

University of Nebraska–Lincoln
2003-2005

Abstract Shifts in the timing of spring phenology are a central feature global change research. Long‐term observations plant have been used to track vegetation responses climate variability but often limited particular species and locations may not represent synoptic patterns. Satellite remote sensing is instead for continental monitoring. Although numerous methods exist extract phenological timing, start‐of‐spring (SOS), from time series reflectance data, comprehensive intercomparison...

10.1111/j.1365-2486.2009.01910.x article EN Global Change Biology 2009-04-22

Timely and accurately predicting maize grain yields will contribute to making adaptive measures improve management practice adjust consumption patterns for ensuring food security. Unmanned aerial vehicles (UAV) are widely used obtain high-temporal high-spatial resolution remote sensing images of crops, enabling a possible sensor performance comparison. To date, few studies have compared the potential abilities multispectral-based hyperspectral-based images, only sensitive spectral wavelength...

10.1016/j.jag.2023.103528 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2023-10-21

Abstract The International Geosphere–Biosphere Program has delineated five study areas that form a northern high‐latitude network for the analyses of vegetation and carbon dynamics. We examined magnitude significance changes in land surface phenologies ecoregions within these transects using NASA Pathfinder Advanced Very High‐Resolution Radiometer Land dataset. applied seasonal Mann–Kendall (SMK) trend test, robust nonparametric approach, to determine trends normalized difference index...

10.1111/j.1365-2486.2005.00949.x article EN Global Change Biology 2005-04-22

Coarse spatial resolution satellites are capable of observing large swaths the planetary surface in each overpass resulting image time series with high temporal resolution. Many change‐detection strategies commonly used remote sensing studies were developed an era scarcity and thus focus on comparing just a few scenes. However, change analysis methods applicable to images sparse sampling not necessarily efficient effective when applied long series. We present statistical framework that...

10.1080/01431160512331326657 article EN International Journal of Remote Sensing 2005-04-01

Low impact development (LID), a comprehensive land use planning and design approach with the goal of mitigating impacts to environment, is increasingly being touted as an effective lessen runoff pollutant loadings streams. Broad-scale approaches for siting LID have been developed agricultural watersheds, but are rare urban largely due greater complexity. Here, we introduce spatially-explicit assist landscape architects, planners, water managers in identifying priority sites based exclusively...

10.1016/j.landurbplan.2015.04.002 article EN cc-by-nc-nd Landscape and Urban Planning 2015-04-24

Evidence for global insect declines mounts, increasing our need to understand underlying mechanisms. We test the nutrient dilution (ND) hypothesis-the decreasing concentration of essential dietary minerals with plant productivity-that particularly targets herbivores. Nutrient can result from increased biomass due climate or CO2 enrichment. Additionally, when considering long-term trends driven by climate, one must account large-scale oscillations including El Niño Southern Oscillation...

10.1073/pnas.1920012117 article EN Proceedings of the National Academy of Sciences 2020-03-09

Abstract. Relationships between land use and water quality are complex with interdependencies, feedbacks, legacy effects. Most river studies have assessed catchment as areal coverage, but here, we hypothesize test whether intensity – the inputs (fertilizer, livestock) activities (vegetation removal) of is a better predictor environmental impact. We New Zealand (NZ) case study because it has had one highest rates agricultural intensification globally over recent decades. interpreted state...

10.5194/hess-21-1149-2017 article EN cc-by Hydrology and earth system sciences 2017-02-23

The extraction of phenological events in forest and agriculture commonly relies on Vegetation Indices (VI) composed by visible near infrared bands from satellite images. However, the textural information playing an important role image fusion, classification change detection is ignored. In this study, high-throughput images collected Unmanned Aerial Vehicle (UAV) platform during growth stages summer maize were used to identify Tasseling Date (TD) based both spectral information. extracted...

10.1016/j.jag.2021.102435 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2021-07-16

10.1016/s0303-2434(01)85006-6 article EN International Journal of Applied Earth Observation and Geoinformation 2001-01-01

We present a dual scale trend analysis for characterizing and comparing two contrasting areas of change in Russia Kazakhstan that lie less than 800 km apart. selected global NASA MODIS (moderate resolution imaging spectroradiometer) product (MCD43C4 MCD43A4) at 0.05° (∼5.6 km) 500 m spatial 16-day temporal from 2000 to 2008. applied refinement the seasonal Kendall method normalized difference vegetation index (NDVI) image series both scales. only incorporated composites during vegetative...

10.1088/1748-9326/4/4/045012 article EN cc-by Environmental Research Letters 2009-10-01

Food security exists when people have access to sufficient, safe and nutritious food at all times meet their dietary needs. The natural resource base is one of the many factors affecting security. Its variability decline creates problems for local production. In this study we characterize sub-Saharan Africa vegetation phenology assess trends phenological indicators based on NDVI time series from 1982 2006. We focus cumulated over season (cumNDVI) which a proxy net primary productivity....

10.1007/s10584-011-0049-1 article EN cc-by-nc Climatic Change 2011-03-08

Phenology—the study of recurring plant and animal life cycle stages, especially their timing relationships with weather climate—is becoming an essential tool for documenting, communicating, anticipating the consequences climate variability change. For example, March 2012 broke numerous records warm temperatures early flowering in United States [ Karl et al ., 2012; Elwood 2013]. Many regions experienced a “false spring,” period late winter or spring sufficiently mild long to bring vegetation...

10.1002/2013eo200001 article EN Eos 2013-05-14

The collapse of the Soviet Union in 1991 has been a turning point World history that left unique footprint on Northern Eurasian ecosystems. Conducting large scale mapping environmental change and separating between naturogenic anthropogenic drivers is difficult endeavor such highly complex systems. In this research piece-wise linear regression method was used for breakpoint detection Rain-Use Efficiency (RUE) time series classification ecosystem response types produced. Supported by earth...

10.1111/gcb.13267 article EN Global Change Biology 2016-03-01
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