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World of SILVIS

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SILVIS Lab is currently hiring!

2 Postdoc and 1 PhD position for statistical trend analyses with satellite data
October 10, 2019

Recent Research

Tracking spring with a feather

Maia Percshe ponders the relationships of topography, forest phenology, and bird habitat quality in the Baraboo Hills (Wisconsin).

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Land degradation in the Caucasus Mountains

What are underlying drivers of land degradation in the Caucasus Mountains? Katarzyna Ewa Lewinska uses remote sensing to find out.

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MAPPING LARGE LAND COVER CHANGE IN THE CAUCASUS

Johanna Buchner’s work in the Caucasus shows that land cover change during political instability is dependent on local conditions.

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Steller’s Jay that has been fitted with a radio-transmitter to track its movements and has been banded with a unique color combination, so it can be identified in the future without having to be re-captured.

Steller’s Jay and Marbled Murrelet management

Kristin Brunk is conducting research to determine if management of one bird species can conserve the other in California.

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A Cooper’s hawk (Accipiter cooperi) in an urban nature conservancy. Prey abundance seems to be the driving factor in their colonization and persistence in urban areas. Photo: Ashley Olah 2014.

Hawks, Urbanization, and Citizen Science

Hawks are colonizing and persisting in Chicago. Sofia Kozidis is studying the pattern of hawk occupancy in many other urban areas.

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Map of habitat heterogeneity across the conterminous U.S., based on 30-m resolution standard deviation texture (21x21 moving window) of NDVI (index of vegetation greenness) from Landsat 8 imagery. Darker green areas indicate regions with higher habitat heterogeneity.

Mapping habitat heterogeneity using image texture

Laura Farwell is using image texture measures as powerful predictors of regional and global biodiversity patterns.

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Figure 2 Male Kirtland's warbler. (c) Ashley Olah 2016

Kirtland’s Warblers call Wisconsin home

Ashley Olah is studying habitat selection of Kirtland’s Warblers in commercially owned red pine plantations in central Wisconsin.

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Moose abundance in the former Soviet Union can be predicted from the DHI Photo source: pexels.com

Predicting Moose Abundance from Space

Elena Razenkova found that remote measures of productivity like DHI can help explain moose abundance over the last 3 decades.

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Figure 2 A field abandoned due to soil salinization (Khorezm, Uzbekistan)

Agricultural land abandonment mapping

He Yin wants to increase precision in quantifying land abandonment across a diversity of biomes and complex crop systems.

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Woodlots located at forest edges. Mbeya, Tanzania

Smallholder woodlots in Tanzania

How much do smallholder woodlots contribute to overall planted tree cover? Niwaeli Kimambo answers this question for Tanzania.

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Reconstructing Fire Regimes in Forested Wetlands

Colleen Sutheimer is working to understand how fire has shaped forested wetlands in the past, and how it can be used to preserve them in the future.

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Data & Web Maps

Wildland Urban Interface (WUI)

Changes in the WUI between 1990 and 2010

WUI Change Maps & Data

Block Level Housing Density

Growth in Housing Density in the U.S. between 1990 and 2010

Housing Density Maps & Data

Dynamic Habitat Indices

Global Dynamic Habitat Indices (DHIs)

DHIs Maps & Data

More Maps & Data

Click below for a complete list of SILVIS datasets

Go to Maps & Data

SILVIS LAB

World of SILVIS

Legend

SILVIS Lab is currently hiring!

2 Postdoc and 1 PhD position for statistical trend analyses with satellite data

Recent Research

Tracking spring with a feather

Land degradation in the Caucasus Mountains

MAPPING LARGE LAND COVER CHANGE IN THE CAUCASUS

Steller’s Jay and Marbled Murrelet management

Hawks, Urbanization, and Citizen Science

Mapping habitat heterogeneity using image texture

Kirtland’s Warblers call Wisconsin home

Predicting Moose Abundance from Space

Agricultural land abandonment mapping

Smallholder woodlots in Tanzania

Reconstructing Fire Regimes in Forested Wetlands

Data & Web Maps

Wildland Urban Interface (WUI)

Block Level Housing Density

Dynamic Habitat Indices

More Maps & Data

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