Faculty

Institution

Unit

Venue

Marc Linderman

Associate Professor

University of Iowa

Affiliations

College of Liberal Arts and Sciences

Environmental Sciences Program

Geographical and Sustainability Sciences Department

Marc Linderman is currently serving as a College Of Liberal Arts And Sciences Associate Professor at University of Iowa.

Honors

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Experiences

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Education

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Marc Linderman

University of Iowa

Associate Professor

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environmental science ecology remote sensing earth science land use earth observation landscape ecology climate change forestry wildlife wildlife ecology land cover agricultural economics conservation biology climatology biogeography forest ecology wolong nature reserve conservation science applied geography biological conservation earth observation data geodesy spatial ecology soil science ecological modelling animal conservation animal ecology wildlife management biodiversity conservation climate variability spatio-temporal models hyperspectral imaging vegetation science fuelwood collection vegetation dynamics sustainable development global ecology avian biology hydrometeorology fire ecology forest ecosystems social science research plant science land management population ecology terrestrial ecology forest conservation forest resource management environmental geography object categorization image classification land use change spatial distribution giant panda habitat topsoil organic carbon digital mapping soil organic carbon human-environment system forest meteorology agricultural management crop production spatial complexity agent-based system human-environment interactions development policy sustainable land-use management land-use planning urban land use energy trade protected areas ecological degradation giant pandas multiscale integration agent-based spatial model cook-stove initiatives geography ecosystem dynamics ecological indicator

Notable Scholarly Works

Notable Federal Grants

Collaborators

Modeling of Harmful Algal Bloom Dynamics and Integrated Web Framework for Inland Waters in Iowa. EarthArXiv (California Digital Library) (2024)

Özlem BaydaroğluSerhan YeşilköyAnchit DaveMarc LindermanIbrahim Demir

inland watersecological simulationenvironmental modellingintegrated web frameworkenvironmental sciencemodeling and simulationearth scienceecological modelling

Unveiling Harmful Algal Bloom Dynamics With Sparse Identification of Nonlinear Dynamics and the Model-Based Web Platform for Lakes. (2024)

Özlem BaydaroğluSerhan YeşilköyMarc LindermanIbrahim Demir

model-based web platformbloom ecologyaquatic ecosystemsecologysparse identification

Object Based Classification of a Riparian Environment Using Ultra-High Resolution Imagery, Hierarchical Landcover Structures, and Image Texture. Scientific Reports (2022)

Kain KutzZachary CookMarc Linderman

ultra-high resolution imageryimage textureforestryhierarchical landcover structuresobject categorizationcomputer visionimage classificationenvironmental scienceland coverclassification methodremote sensingriparian environmentpattern recognitionimage analysisearth scienceobject recognitionecology

On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging. Remote Sensing (2022)

Philip KaaretSteve TammesJun WangThomas SchnellMarc LindermanCarlton H. RicheyColin M. PackardMeng ZhouChase A. Fuller

planetary sciencesearth observationoptical remote sensingenvironmental scienceremote sensingearth sciencehotspot detection

Advancing Landscape and Seascape Ecology From a 2D to a 3D Science. BioScience (2021)

Christopher A LepczykLisa M WeddingGregory P AsnerSimon J PittmanTristan GouldenMarc A LindermanJeanne GangRosalie Wright

seascape ecologybiogeographyenvironmental sciencelandscape ecologyecology

Mapping Soil Organic Carbon Stock by Hyperspectral and Time-Series Multispectral Remote Sensing Images in Low-Relief Agricultural Areas. Geoderma (2021)

Long GuoXiaoru SunPeng FuTiezhu ShiLina DangYiyun ChenM. LindermanGanlin ZhangYu ZhangQinghu JiangHaitao ZhangChen Zeng

sustainable agriculturemultispectral imagingcarbon farmingsoil sciencebiogeographyenvironmental sciencegeodesygeospatial mappingremote sensingearth sciencehyperspectral imaginglow-relief agricultural areasapplied geographyprecision agricultureagricultural economicsgeology

Comparing Laboratory and Airborne Hyperspectral Data for the Estimation and Mapping of Topsoil Organic Carbon: Feature Selection Coupled With Random Forest. Soil and Tillage Research (2020)

Yongsheng HongSongchao ChenYiyun ChenMarc LindermanAbdul M. MouazenYaolin LiuLong GuoLei YuYanfang LiuHang ChengYi Liu

materials sciencefeature selectionrandom forestsoil scienceenvironmental scienceairborne hyperspectral dataremote sensinghyperspectral imaginggeotechnical engineeringearth sciencesoil modelingtopsoil organic carbonsoil ecology

Exploring the Potential of Airborne Hyperspectral Image for Estimating Topsoil Organic Carbon: Effects of Fractional-Order Derivative and Optimal Band Combination Algorithm. Geoderma (2020)

Yongsheng HongLong GuoSongchao ChenMarc LindermanAbdul M. MouazenLei YuYiyun ChenYaolin LiuYanfang LiuHang ChengYi Liu

airborne hyperspectral imageplanetary sciencesatmospheric researchaerosol scienceenvironmental sciencegeophysicsgeodesyremote sensingsoil environmentearth sciencehyperspectral imagingtopsoil organic carbonatmospheric science

Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology From Satellite-Retrieved Chlorophyll-a Concentration (1997–2019) Over Global Ocean. Remote Sensing (2020)

Zexi MaoZhihua MaoCédric JametMarc LindermanYuntao WangXiaoyan Chen

climatologyearth observationseasonal cyclesoceanographyphytoplankton ecologyenvironmental scienceremote sensingmarine biologydaily climatologysine equationsglobal oceanecology

14. a New Paradigm for Panda Research and Conservation: Integrating Ecology With Human Demographics, Behavior, and Socioeconomics. University of California Press eBooks (2019)

Jianguo LiuZhiyun OuyangHemin ZhangMarc LindermanLi AnScott BearerGuangming He

human demographicsecologypanda research

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Marc Linderman

Associate Professor

University of Iowa

Affiliations

College of Liberal Arts and Sciences

Environmental Sciences Program

Geographical and Sustainability Sciences Department

Marc Linderman is currently serving as a College Of Liberal Arts And Sciences Associate Professor at University of Iowa.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Marc Linderman

University of Iowa

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Modeling of Harmful Algal Bloom Dynamics and Integrated Web Framework for Inland Waters in Iowa. EarthArXiv (California Digital Library) (2024)

Özlem BaydaroğluSerhan YeşilköyAnchit DaveMarc LindermanIbrahim Demir

inland watersecological simulationenvironmental modellingintegrated web frameworkenvironmental sciencemodeling and simulationearth scienceecological modelling

Unveiling Harmful Algal Bloom Dynamics With Sparse Identification of Nonlinear Dynamics and the Model-Based Web Platform for Lakes. (2024)

Özlem BaydaroğluSerhan YeşilköyMarc LindermanIbrahim Demir

model-based web platformbloom ecologyaquatic ecosystemsecologysparse identification

Object Based Classification of a Riparian Environment Using Ultra-High Resolution Imagery, Hierarchical Landcover Structures, and Image Texture. Scientific Reports (2022)

Kain KutzZachary CookMarc Linderman

On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging. Remote Sensing (2022)

Philip KaaretSteve TammesJun WangThomas SchnellMarc LindermanCarlton H. RicheyColin M. PackardMeng ZhouChase A. Fuller

planetary sciencesearth observationoptical remote sensingenvironmental scienceremote sensingearth sciencehotspot detection

Advancing Landscape and Seascape Ecology From a 2D to a 3D Science. BioScience (2021)

Christopher A LepczykLisa M WeddingGregory P AsnerSimon J PittmanTristan GouldenMarc A LindermanJeanne GangRosalie Wright

seascape ecologybiogeographyenvironmental sciencelandscape ecologyecology

Mapping Soil Organic Carbon Stock by Hyperspectral and Time-Series Multispectral Remote Sensing Images in Low-Relief Agricultural Areas. Geoderma (2021)

Long GuoXiaoru SunPeng FuTiezhu ShiLina DangYiyun ChenM. LindermanGanlin ZhangYu ZhangQinghu JiangHaitao ZhangChen Zeng

Comparing Laboratory and Airborne Hyperspectral Data for the Estimation and Mapping of Topsoil Organic Carbon: Feature Selection Coupled With Random Forest. Soil and Tillage Research (2020)

Yongsheng HongSongchao ChenYiyun ChenMarc LindermanAbdul M. MouazenYaolin LiuLong GuoLei YuYanfang LiuHang ChengYi Liu

Exploring the Potential of Airborne Hyperspectral Image for Estimating Topsoil Organic Carbon: Effects of Fractional-Order Derivative and Optimal Band Combination Algorithm. Geoderma (2020)

Yongsheng HongLong GuoSongchao ChenMarc LindermanAbdul M. MouazenLei YuYiyun ChenYaolin LiuYanfang LiuHang ChengYi Liu

Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology From Satellite-Retrieved Chlorophyll-a Concentration (1997–2019) Over Global Ocean. Remote Sensing (2020)

Zexi MaoZhihua MaoCédric JametMarc LindermanYuntao WangXiaoyan Chen

climatologyearth observationseasonal cyclesoceanographyphytoplankton ecologyenvironmental scienceremote sensingmarine biologydaily climatologysine equationsglobal oceanecology

14. a New Paradigm for Panda Research and Conservation: Integrating Ecology With Human Demographics, Behavior, and Socioeconomics. University of California Press eBooks (2019)

Jianguo LiuZhiyun OuyangHemin ZhangMarc LindermanLi AnScott BearerGuangming He

human demographicsecologypanda research

1
2
3
4
5
6
10 / page

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remote sensing

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