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Noise reduction of NDVI time series: An empirical comparison of selected techniques
Satellite-derived NDVI time series are fundamental to the remote sensing of vegetation phenology, but their application is hindered by prevalent noise resulting chiefly from varying atmosphericExpand
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Transcending scale dependence in identifying habitat with resource selection functions.
Multi-scale resource selection modeling is used to identify factors that limit species distributions across scales of space and time. This multi-scale nature of habitat suitability complicates theExpand
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The role of agent-based models in wildlife ecology and management
TLDR
This paper explores the role of a habitat-modeling methodological approach, agent-based modeling, which we advocate as a promising approach for ecological research, specifically with regards to scenario planning of designated critical habitats. Expand
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Remote sensing and forest inventory for wildlife habitat assessment
Researchers and managers undertaking wildlife habitat assessments commonly require spatially explicit environmental map layers such as those derived from forest inventory and remote sensing. However,Expand
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Remote sensing for large-area habitat mapping
Remote sensing has long been identified as a technology capable of supporting the development of wildlife habitat maps over large areas. However, progress has been constrained by underdevelopedExpand
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Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping
TLDR
We developed a workflow for predicting the probability of wetland occurrence using a boosted regression tree machine-learning framework applied to digital topographic and EO data using Google Earth Engine and R Statistical. Expand
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A Disturbance-Inventory Framework for Flexible and Reliable Landscape Monitoring
Remote sensing plays a key role in landscape monitoring, but our handling of these data in a multi-temporal time series is not yet fully developed. Of particular concern is the presence of spatialExpand
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Problems in remote sensing of landscapes and habitats
Wildlife habitat mapping strongly supports applications in natural resource management, environmental conservation, impacts of anthropogenic activity, perturbed ecosystem restoration, species-at-riskExpand
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Object-based approaches to change analysis and thematic map update: challenges and limitations
small, spurious polygons created by the inconsistent delineation of persistent change features appearing in consecutive coregistered images. The issue represents a serious methodological challengeExpand
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