Scott W. Mitchell

Scott W. Mitchell
Carleton University · Department of Geography and Environmental Studies

Doctor of Philosophy

About

48
Publications
14,105
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1,399
Citations
Citations since 2016
21 Research Items
1164 Citations
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Introduction
Scott W. Mitchell works in the Department of Geography and Environmental Studies, Carleton University conducting research at the Geomatics and Landscape Ecology Lab. He researches relationships between landscape and temporal patterns and environmental processes, especially in agricultural contexts. His most active current project is 'Climate change impacts on agriculture' in which he collaborates with several partners to generate knowledge on shifting extreme weather regimes and ways to evaluate impacts of such shifts on agriculture and associated communities.

Publications

Publications (48)
Chapter
Biophysical parameters are descriptors of crop growth and production estimates. Retrieval of these biophysical parameters from synthetic aperture radar sensors at operational scales is highly interesting given the increase in access to data from radar missions. Vegetation backscattering can be simulated using the water cloud model (WCM). Crop bioph...
Chapter
Landscape pattern metrics, quantifying spatial pattern
Article
Full-text available
The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately estimate LAI if the model is effectively calibrated. However, calibration of this model requires access to field measures of LAI...
Article
Full-text available
Cloudy conditions reduce the utility of optical imagery for crop monitoring. New constellations of satellites – including the RADARSAT Constellation Mission (RCM) and Sentinel-1A/B, both available under free and open data policies – can be used to create stacks of dense seasonal C-band Synthetic Aperture Radar (SAR) data. Yet to date, the contribut...
Article
Few countries are using space-based Synthetic Aperture Radar (SAR) to operationally produce national-scale maps of their agricultural landscapes. For the past ten years, Canada has integrated C-band SAR with optical satellite data to map what crops are grown in every field, for the entire country. While the advantages of SAR are well understood, th...
Article
The reliability and quality of volunteered geographic information (VGI) continue to be pressing concerns. Many VGI projects lack standard geospatial data quality assurance procedures, and the reliability of contributors remains in question. Traditional approaches rely on comparing VGI to an “authoritative” or “gold standard” dataset to assess quali...
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Increasing landscape heterogeneity by restoring semi-natural elements to reverse farmland biodiversity declines is not always economically feasible or acceptable to farmers due to competition for land. We hypothesized that increasing the heterogeneity of the crop mosaic itself, hereafter referred to as crop heterogeneity, can have beneficial effect...
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Efforts to use satellites to monitor the condition and productivity of crops, although extensive, can be challenging to operationalize at field scales in part due to low frequency revisit of higher resolution space-based sensors, in the context of an actively growing crop canopy. The presence of clouds and cloud shadows further impedes the exploita...
Article
Pressure to increase food production to meet the demands of a growing human population can make conservation motivated recommendations to limit agricultural expansion impractical. Therefore, we need to identify conservation actions that can support biodiversity without taking land out of production. Previous studies suggest this can be accomplished...
Article
Significance Agricultural landscape homogenization is a major ongoing threat to biodiversity and the delivery of key ecosystem services for human well-being. It is well known that increasing the amount of seminatural cover in agricultural landscapes has a positive effect on biodiversity. However, little is known about the role of the crop mosaic it...
Article
Studies on the sensitivity of microwave scattering to vegetation canopies have led the researchers to conclude that crop biophysical parameters can be modeled from Synthetic Aperture Radar (SAR) backscatter. In this study, we assess different methods of modeling the Leaf Area Index (LAI), an important biophysical indicator of crop productivity, fro...
Article
Full-text available
Resilience-based approaches to climate change have yet to be widely applied in agriculture. In this sector, indicators have been centered on the impacts of climate on production systems, crops, yields, infrastructure, financial performance, farmers’ livelihoods and food security. This paper focuses on designing an indicator set to capture the resil...
Article
The effectiveness of measures installed to mitigate wildlife road-kill depends on their placement along the road. Road-kill hotspots are frequently used to identify priority locations for mitigation measures. However, in situations where previous road mortality has reduced population size, road-kill hotspots may not indicate the best sites for miti...
Chapter
Monte Carlo methods are a common approach to quantifying uncertainty propagation. We used Monte Carlo simulation to quantify the effects of positional and thematic uncertainties in a set of landscape maps on model averaged regression coefficients that were based on metrics derived from these maps. Results indicate that the uncertainty estimates fro...
Article
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Strategies to reduce wildlife road mortality have become a significant component of many conservation efforts. However, their success depends on knowledge of the temporal and spatial patterns of mortality. We studied these patterns along the 1000 Islands Parkway in Ontario, Canada, a 37 km road that runs adjacent to the St. Lawrence River and bisec...
Article
Areas with relatively high spatial heterogeneity generally have more biodiversity than ones that are spatially homogeneous areas due to increased potential habitat. Management practices such as controlled grazing also affect the biodiversity in grasslands, and we hypothesize that this is due in part to the impacts of variation in grazing on plant h...
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Full-text available
Forest management seeks sustainability for a diverse set of goals, including economic objectives, provision of ecosystem services, and provision of a variety of possible land uses. It is important to quantify, map and monitor forest dynamics resulting from natural and anthropogenic processes over time periods appropriate to the temporal scale of ch...
Article
Negative effects of roads on wildlife include mortality caused by attempted road crossings. The most common method to choose locations for road kill mitigation is to identify hotspots of current road mortality. We evaluated the effect of traffic volume on current road kill hotspots. We used a road kill survey to test for differential traffic effect...
Article
Observation of the Earth's surface from spaceborne platforms is complicated by the various layers of the Earth's atmosphere that reflect, scatter, and attenuate electromagnetic radiation passing through them, thus influencing (upward or downward) the signal strength recorded at the sensor relative to the true quantity of radiance reflected from the...
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Empirical studies of the relative effects of landscape variables may compromise inferential strength with common approaches to landscape selection. We propose a methodology for landscape sample selection that is designed to overcome some common statistical pitfalls that may hamper estimates of relative effects of landscape variables on ecological r...
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A multi-index drought (MID) model was developed to combine the strengths of various drought indices for agricultural drought risk assessment on the Canadian prairies, as related to spring wheat crop yield. The model automatically selects and combines optimum drought indices derived from the preceding and current months as they become available to b...
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Collaboratories have been defined as virtual places where collaborative research can be undertaken. As part of the Aboriginal Tourism Network (ABORINET), a geocollaboratory was developed to support Indigenous tourism research. Indigenous communities are culturally distinct and remotely located and this presents geographic and sociocultural constrai...
Article
Most image classification algorithms rely on computing the distance between the unique spectral signature of a given pixel and a set of possible clusters within an n-dimensional feature space that represents discrete land cover categories. Each scrutinized pixel will ultimately be closest to one of the predefined clusters; different classification...
Article
Full-text available
Identifying appropriate validation sources for large-area land cover products is a challenge, with logistical constraints frequently necessitating the use of preexisting data sources. Several issues exist when comparing polygon (vector-based) datasets to raster imagery: geolocational mismatches, differences in features or classes mapped, disparity...
Article
Abstract Environmental models constructed with a spatial domain require choices about the representation of space. Decisions in the adaptation of a spatial data model can have significant consequences on the ability to predict environmental function as a result of changes to levels of aggregation of input parameters and scaling issues in the proces...
Article
Canada's ability to sustainably manage approximately 10% of the global forest cover is a critical environmental and economic issue. The capacity to meet such demands and to deliver on national and international commitments regarding forest management is enabled through collaboration between federal, provincial, and territorial agencies. A principal...
Article
Ecosystem models which include both variability of driving variables as an input, and uncertainty and/or stability in their predictions are rare, especially outside of forest and cropland applications. Our objective is to investigate the stability of productivity levels and temporal patterns in a northern mixed grass prairie site using scenarios of...
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this paper, we present some examples of these tools
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One of the major challenges in designing and implementing computer assistance for local decision-making is the potential discrepancy between information needs/availability and actual controls on land management. Sustainable management is complex due to the intricate interactions between biophysical and socio-economic factors operating at various sc...
Article
Ecosystem models which include both variability of driving variables as an input, and uncertainty and/or stability in their predictions are rare, especially outside of forest and cropland applications. Our objective is to investigate the stability of productivity levels and temporal patterns in a northern mixed grass prairie site using scenarios of...
Article
Full-text available
One of the most important limiting factors in reliable estimation of grassland ecosystem parameters from remotely sensed data is "too coarse" resolution. Areal averages obtained from readily available imagery do not match well with ecological field data. To address this discrepancy we have collected simultaneous spectral, other biophysical and ecol...
Conference Paper
Full-text available
One of the most important limiting factors in reliable estimation of grassland ecosystem parameters from remotely sensed data is “too coarse” resolution. Areal averages obtained from readily available imagery do not match well with ecological field data. To address this discrepancy the authors have collected simultaneous spectral, other biophysical...
Article
Local, watershed-based environmental decision-making plays a critical role in village communities on the Loess and Ordos Plateaux (Shanxi Province and Neimeng region). Predicting crop yield is particularly important because of its significance in economic gain and its interrelationship with other environmental processes, such as soil erosion. We ha...

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