World's Best Scientists 2026 revealed!
Alan H. Strahler

Alan H. Strahler

D-Index & Metrics

Environmental Sciences

D-Index
95
Citations
40034
World Ranking
470
National Ranking
214

Research.com Recognitions

  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Alan H. Strahler is affiliated with Boston University in the United States. Their academic career is marked by contributions to the scientific community as evidenced by the recognition received and research activities.

In 2003, Alan H. Strahler was awarded the distinction of Fellow of the American Association for the Advancement of Science (AAAS), a professional honor acknowledging contributions to the advancement of science.

Best Publications

  • Global land cover mapping from MODIS: algorithms and early results

    M.A Friedl;D.K McIver;J.C.F Hodges;X.Y Zhang

  • Monitoring vegetation phenology using MODIS

    Xiaoyang Zhang;Mark A. Friedl;Crystal B. Schaaf;Alan H. Strahler

  • First operational BRDF, albedo nadir reflectance products from MODIS

    Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht

  • The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

    C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries

  • The factor of scale in remote sensing

    Curtis E. Woodcock;Alan H. Strahler

  • An algorithm for the retrieval of albedo from space using semiempirical BRDF models

    W. Lucht;C.B. Schaaf;A.H. Strahler

  • Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing

    X. Li;A.H. Strahler

  • On the derivation of kernels for kernel-driven models of bidirectional reflectance

    W. Wanner;X. Li;A. H. Strahler

  • Geometric-Optical Modeling of a Conifer Forest Canopy

    Xiaowen Li;Alan H. Strahler

  • Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data

    Xiaoyang Zhang;Mark A. Friedl;Crystal B. Schaaf;Alan H. Strahler

  • The use of prior probabilities in maximum likelihood classification of remotely sensed data

    Alan H. Strahler

  • On the nature of models in remote sensing

    Alan H Strahler;Curtis E Woodcock;James A Smith

  • Terrestrial remote sensing science and algorithms planned for EOS/MODIS

    Steven W Running;C. O. Justice;V. Salomonson;D. Hall

  • Geometric-Optical Bidirectional Reflectance Modeling of a Conifer Forest Canopy

    Xiaowen Li;Alan H. Strahler

  • Validating MODIS land surface reflectance and albedo products: methods and preliminary results

    Shunlin Liang;Hongliang Fang;Mingzhen Chen;Chad J Shuey

  • The use of variograms in remote sensing: I. Scene models and simulated images

    Curtis E. Woodcock;Alan H. Strahler;David L.B. Jupp

  • Maximizing land cover classification accuracies produced by decision trees at continental to global scales

    M.A. Friedl;C.E. Brodley;A.H. Strahler

  • Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data: Theory and algorithm

    W. Wanner;A. H. Strahler;B. Hu;P. Lewis

  • The use of variograms in remote sensing: II. Real digital images

    Curtis E. Woodcock;Alan H. Strahler;David L.B. Jupp

  • Validation of the global land cover 2000 map

    P. Mayaux;H. Eva;J. Gallego;A.H. Strahler

Frequent Co-Authors

Crystal B. Schaaf
Crystal B. Schaaf University of Massachusetts Boston
Xiaowen Li
Xiaowen Li Tsinghua University
Curtis E. Woodcock
Curtis E. Woodcock Boston University
David L.B. Jupp
David L.B. Jupp Commonwealth Scientific and Industrial Research Organisation
Wolfgang Lucht
Wolfgang Lucht Potsdam Institute for Climate Impact Research
Glenn Newnham
Glenn Newnham Commonwealth Scientific and Industrial Research Organisation
Shunlin Liang
Shunlin Liang University of Hong Kong
Mark A. Friedl
Mark A. Friedl Boston University
Zhuosen Wang
Zhuosen Wang University of Maryland, College Park
Darius S. Culvenor
Darius S. Culvenor Commonwealth Scientific and Industrial Research Organisation

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