Angela Kross

Angela Kross
Concordia University Montreal · Department of Geography, Planning and Environment

PhD

About

17
Publications
4,098
Reads
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664
Citations
Citations since 2016
8 Research Items
592 Citations
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2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
Introduction
My research interests are at the intersection of ecology, remote sensing and GIS, and environmental sciences. I use a combination of field measurements, models and remote sensing and GIS technologies to answer questions related to ecosystem processes and their controls, including vegetation carbon dynamics, ecosystem health, ecosystem phenology dynamics and land use change.
Additional affiliations
August 2015 - present
Concordia University Montreal
Position
  • Lecturer
May 2012 - July 2015
Agriculture and Agri-Food Canada
Position
  • NSERC postdoctoral researcher
Description
  • http://www.geds.gc.ca/en/GEDS?pgid=015&dn=cn%3DKross\%2C+Angela%2Cou%3DENV-SDL%2Cou%3DNASP-PRSN%2Cou%3DDORE-BDRE%2Cou%3DMIX-PFM%2Cou%3DSTB-DGST%2COU%3DAAFC-AAC%2CO%3DGC%2CC%3DCA
January 2012 - April 2012
University of Ottawa
Position
  • Sessional lecturer

Publications

Publications (17)
Article
Full-text available
Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean) with differen...
Article
Ecosystem phenology plays an important role in carbon exchange processes and can be derived from continuous records of carbon dioxide (CO2) exchange data. In this study we examine the potential use of phenological indices for characterizing cumulative annual CO2 exchange in four contrasting northern peatland ecosystems. We used the approach of Jons...
Article
Full-text available
Early and on-going crop production forecasts are important to facilitate food price stability for regions at risk, and for agriculture exporters, to set market value. Most regional and global efforts in forecasting rely on multiple sources of information from the field. With increased access to data from spaceborne Synthetic Aperture Radar (SAR), t...
Article
The agriculture sector plays a critical role in global food security and economy, but it is also among the greatest contributors to environmental degradation and global warming through practices such as clearing of forests and wetlands, water management, and use of fertilizers and pesticides. This study proposes a geospatial framework for the syste...
Article
Full-text available
The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and 2011. The dataset contains the values of weighted urban proliferation (WUP) and weighted sprawl per...
Article
Full-text available
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor variables, especially at the field scale. In this study, an artificial neural network (ANN) method w...
Conference Paper
Full-text available
Climate projection studies suggest that extreme heat waves and floods will become more frequent, affecting future crop yields by 20%-30%, globally. Managing vulnerability and risk begins at the farm level where best management practices can reduce the impacts associated with extreme weather events. A practice that can assist in mitigating the impac...
Conference Paper
Full-text available
The ability to predict crop yield during the growing season is important for crop income, insurance projections and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and the interrelated predictor variables. Artificial neural networks (ANNs) are useful for such c...
Poster
Many ecosystems including forests and grasslands have clear phenologies (e.g. start or length of the growing season), which can be related to the carbon (C) uptake of the ecosystem. Peatland vegetation does not usually display such distinct visual phenology patterns, and few studies have focussed on this ecosystem. In this study we evaluate a serie...
Poster
Satellite remote sensing has the potential for extracting information related to the phenology of carbon exchange at regional and global extents. A good relationship between remote sensing-derived phenology and eddy covariance (EC) flux tower-derived phenology is important for the extrapolation of the carbon exchange phenology over large regions. Y...
Thesis
Full-text available
The present study evaluated the applicability of MODerate resolution Imaging Spectroradiometer (MODIS) data for phenological monitoring in the Netherlands. The investigation focused on deciduous forest, grasslands and crops, over a time period of 4 years (2001 to 2004). MODIS 16-day Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetat...

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