Dr Holly Croft
School of Biosciences
UKRI Future Leaders Fellow
Full contact details
School of Biosciences
Alfred Denny Building
- UKRI Future Leaders Fellow, University of Sheffield, UK (2020-)
- MSCA Independent Research Fellow, University of Sheffield, UK (2018-2020)
- Research Associate, University of Toronto, Canada (2011-2018)
- Research Assistant, University of Basel, Switzerland (2010-2011)
- PhD Physical Geography, University of Exeter, UK (2010)
- MSc Environmental Monitoring, Modeling and Reconstruction, University of Manchester (2006)
- BSc (Hons) Physical Geography, University of Manchester, UK (2002)
- Research interests
I am an ecological remote sensing scientist with interests in agricultural, forested and Arctic terrestrial ecosystems. My research is focused on the use of remotely sensed data in the measurement and modelling of biophysical and ecological variables that influence vegetation productivity, carbon exchange and nutrient use, along with the effects of disturbance on ecosystem structure and function. I use remote sensing data, acquired from a range of platforms from UAVs to satellites, ground-based field experiments and novel analytical methods to improve our understanding of vegetated systems for research and management applications.
Current research projects
RESOLVE: ‘Remote sensing of photosynthetic traits for high latitude plant productivity modelling’ Funding Agency: Horizon 2020 MSCA
The arctic is predicted to warm faster and to a greater extent than anywhere on earth. Environmental drivers such as increased temperature and atmospheric CO2 concentration, are resulting in unprecedented changes to the structure, function and/or species composition of arctic and boreal vegetation. Recent developments in remote sensing methods and satellite technologies and have opened up exciting new opportunities to use chlorophyll fluorescence and modeled leaf biochemical estimates as indicators of plant physiological status, in order to address biome-scale questions on climate-induced changes in vegetation productivity. This research will contribute to: improving our understanding of the spatially-dependent dominant environmental drivers affecting ABB vegetation change at local and regional scales, determining the terrestrial carbon budget for the ABB, and the consequent implications for atmospheric CO2 concentrations.
This person does not have any publications available.
- Fine-scale leaf chlorophyll distribution across a deciduous forest through two-step model inversion from Sentinel-2 data. Remote Sensing of Environment, 264, 112618-112618.
- Global variation in the fraction of leaf nitrogen allocated to photosynthesis. Nature Communications, 12(1).
- Daily leaf area index from photosynthetically active radiation for long term records of canopy structure and leaf phenology. Agricultural and Forest Meteorology, 304, 108407.
- The Response of Spectral Vegetation Indices and Solar‐Induced Fluorescence to Changes in Illumination Intensity and Geometry in the Days Surrounding the 2017 North American Solar Eclipse. Journal of Geophysical Research: Biogeosciences, 125(10).
- Maximum Carboxylation Rate Estimation With Chlorophyll Content as a Proxy of Rubisco Content. Journal of Geophysical Research: Biogeosciences, 125(8).
- Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments. Ecological Indicators, 110, 105867-105867.
- Estimation of Leaf Photosynthetic Capacity From Leaf Chlorophyll Content and Leaf Age in a Subtropical Evergreen Coniferous Plantation. Journal of Geophysical Research: Biogeosciences, 125(2).
- The global distribution of leaf chlorophyll content. Remote Sensing of Environment, 236.
- Including soil water stress in process-based ecosystem models by scaling down maximum carboxylation rate using accumulated soil water deficit. Agricultural and Forest Meteorology, 276-277, 107649-107649.
- Carbon, water and energy exchange dynamics of a young pine plantation forest during the initial fourteen years of growth. Forest Ecology and Management, 410, 12-26.
- Incorporating leaf chlorophyll content into a two-leaf terrestrial biosphere model for estimating carbon and water fluxes at a forest site. Agricultural and Forest Meteorology, 248, 156-168.
- Comparison of Big‐Leaf, Two‐Big‐Leaf, and Two‐Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon‐Water Modeling. Journal of Geophysical Research: Biogeosciences, 123(1), 207-225.
- Nitrogen Availability Dampens the Positive Impacts of CO2Fertilization on Terrestrial Ecosystem Carbon and Water Cycles. Geophysical Research Letters, 44(22), 11,590-11,600.
- Leaf chlorophyll content as a proxy for leaf photosynthetic capacity. Global Change Biology, 23(9), 3513-3524.
- Deriving Maximum Light Use Efficiency From Crop Growth Model and Satellite Data to Improve Crop Biomass Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 104-117.
- Evaluating the impacts of climate variability and cutting and insect defoliation on the historical carbon dynamics of a boreal black spruce forest landscape in eastern Canada. Ecological Modelling, 321, 98-109.
- Assessment of foliage clumping effects on evapotranspiration estimates in forested ecosystems. Agricultural and Forest Meteorology, 216, 82-92.
- Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product. International Journal of Applied Earth Observation and Geoinformation, 44, 53-60.
- Trends of carbon fluxes and climate over a mixed temperate–boreal transition forest in southern Ontario, Canada. Agricultural and Forest Meteorology, 211-212, 72-84.
- Seasonal controls of canopy chlorophyll content on forest carbon uptake: Implications for GPP modeling. Journal of Geophysical Research: Biogeosciences, 120(8), 1576-1586.
- Evaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework. ISPRS Journal of Photogrammetry and Remote Sensing, 102, 85-95.
- Radiation contributed more than temperature to increased decadal autumn and annual carbon uptake of two eastern North America mature forests. Agricultural and Forest Meteorology, 201, 8-16.
- Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data. Ecological Modelling, 294, 94-104.
- Stand age effects on Boreal forest physiology using a long time-series of satellite data. Forest Ecology and Management, 328, 202-208.
- Temporal disparity in leaf chlorophyll content and leaf area index across a growing season in a temperate deciduous forest. International Journal of Applied Earth Observation and Geoinformation, 33, 312-320.
- Evaluating the influence of surface soil moisture and soil surface roughness on optical directional reflectance factors. European Journal of Soil Science, 65(4), 605-612.
- The applicability of empirical vegetation indices for determining leaf chlorophyll content over different leaf and canopy structures. Ecological Complexity, 17, 119-130.
- Testing the Top-Down Model Inversion Method of Estimating Leaf Reflectance Used to Retrieve Vegetation Biochemical Content Within Empirical Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(1), 92-104.
- Modelling leaf chlorophyll content in broadleaf and needle leaf canopies from ground, CASI, Landsat TM 5 and MERIS reflectance data. Remote Sensing of Environment, 133, 128-140.
- Modeling fine-scale soil surface structure using geostatistics. Water Resources Research, 49(4), 1858-1870.
- On the use of remote sensing techniques for monitoring spatio-temporal soil organic carbon dynamics in agricultural systems. CATENA, 94, 64-74.
- Reflectance anisotropy for measuring soil surface roughness of multiple soil types. CATENA, 93, 87-96.
- A simple spectro-goniometer for collection of multiple view angle reflectance factors. Remote Sensing Letters, 3(2), 131-140.
- Remote sensing of soil surface properties. Progress in Physical Geography: Earth and Environment, 33(4), 457-473.
- Characterizing soil surface roughness using a combined structural and spectral approach. European Journal of Soil Science, 60(3), 431-442.
- Relationship between Leaf Maximum Carboxylation Rate and Chlorophyll Content Preserved across 13 Species. Journal of Geophysical Research: Biogeosciences.
- C<sub>3</sub> plants converge on a universal relationship between leaf maximum carboxylation rate and chlorophyll content.
- Retrieving Leaf Chlorophyll Content by Incorporating Variable Leaf Surface Reflectance in the PROSPECT Model. Remote Sensing, 11(13), 1572-1572.
- Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content. Global Change Biology.
- A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem. Drones, 3(1), 27-27.
- Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize. Remote Sensing, 9(8), 794-794.
- Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery. Precision Agriculture. View this article in WRRO
- Leaf Pigment Content, Comprehensive Remote Sensing (pp. 117-142). Elsevier
- Land Resources Monitoring, Modeling, and Mapping with Remote Sensing CRC Press
Conference proceedings papers
- Leaf chlorophyll content estimation from sentinel-2 MSI data. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23 July 2017 - 28 July 2017.
- Exploring the feasibility of global mapping of the leaf carboxylation rate. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10 July 2016 - 15 July 2016.
- Professional activities
- Editorial board – American Geophysical Union books
- Editorial board – MDPI Remote Sensing journal
- Grant proposal reviewer for: NSERC (Canada), European Research Council, NERC (UK), BELSPO (Belgium) national research programme for earth observation.