D.K. McIver

3.3k citations

11 papers · 2.6k indexed · 1 hit paper · h-index 6

Impact in

Global and Planetary Change top 1%
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
Ecology top 1%
- Remote Sensing in Agriculture

Papers in

Media Technology 8
- Remote-Sensing Image Classification 8
Ecology 11
- Remote Sensing in Agriculture 11

Co-authors: M. A. Friedl Curtis E. Woodcock J.C.F. Hodges Alan H. Strahler Feng Gao D. Muchoney Anton Schneider Alan Cooper
Journals: Remote Sensing of Environment (2 papers)Photogrammetric Engineering & Remote Sensing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Geophysical Research Letters (1 paper)PhDT (1 paper)
Partner nations: United States

In The Last Decade

D.K. McIver

11 papers receiving 2.5k citations

Hit Papers

align trajectories log scale

Global land cover mapping from MODIS: algorithms and early results 2002 · 2.2k citations

Peers

Countries citing papers authored by D.K. McIver

Since Specialization

Citations

This map shows the geographic impact of D.K. McIver's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D.K. McIver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.K. McIver more than expected).

Fields of papers citing papers by D.K. McIver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.K. McIver. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D.K. McIver. The network helps show where D.K. McIver may publish in the future.

Co-authorship network

The 15 scholars most cited alongside D.K. McIver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.K. McIver Line = papers co-authored together D.K. McIver links everyone, so they are left out of the graph.

All Works

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11 of 11 papers shown

#	Work
1	Integration of domain knowledge in the form of ancillary map data into supervised classification of remotely sensed data M. A. Friedl, D.K. McIver, Carla E. Brodley	2003	4
2	Mapping Urban Areas by Fusing Multiple Sources of Coarse Resolution Remotely Sensed Data Photogrammetric Engineering & Remote Sensing ·Annemarie Schneider, M. A. Friedl, D.K. McIver, Curtis E. Woodcock	2003	134
3	Adapting machine learning methods for coarse resolution land cover classification PhDT ·D.K. McIver, M. A. Friedl	2002	1
4	Global land cover classification results from MODIS M. A. Friedl, D.K. McIver, Xiaoye Zhang, J.C.F. Hodges, Юферева Анастасия Сергеевна, O. F. Lemos, Alan H. Strahler, Guo Zhi Dong, Feng Gao, Crystal Schaaf, R.K. Hlongwa	2002	7
5	Classification of urban areas at continental scales using remotely sensed data Anton Schneider, D.K. McIver, M. A. Friedl, A.H. Strahler	2002	1
6	Global land cover mapping from MODIS: algorithms and early results Remote Sensing of Environment ·M. A. Friedl, D.K. McIver, J.C.F. Hodges, Jean W. Snyder, D. Muchoney, Alan H. Strahler, Curtis E. Woodcock, Sucharita Gopal, Anton Schneider, Alan Cooper, Alessandro Baccini, Feng Gao, Crystal Schaaf Hit paper breakdown →	2002	2178
7	Mapping urban areas using coarse resolution remotely sensed data Anton Schneider, D.K. McIver, M. A. Friedl, Curtis E. Woodcock	2002	4
8	Local estimation of land cover classification quality using machine learning methods D.K. McIver, M. A. Friedl	2002	1
9	Using prior probabilities in decision-tree classification of remotely sensed data Remote Sensing of Environment ·D.K. McIver, M. A. Friedl	2002	166
10	Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods IEEE Transactions on Geoscience and Remote Sensing ·D.K. McIver, M. A. Friedl	2001	88
11	Characterization of North American land cover from NOAA‐AVHRR data using the EOS MODIS Land Cover Classification Algorithm Geophysical Research Letters ·M. A. Friedl, D. Muchoney, D.K. McIver, Feng Gao, J.C.F. Hodges, Alan H. Strahler	2000	45

About D.K. McIver

D.K. McIver is a scholar working on Media Technology, Ecology, Environmental Engineering, Atmospheric Science and Analytical Chemistry, having authored 11 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Remote-Sensing Image Classification (8 papers), Soil Geostatistics and Mapping (5 papers), Geochemistry and Geologic Mapping (3 papers), Remote Sensing and Land Use (2 papers), Impact of Light on Environment and Health (2 papers), Land Use and Ecosystem Services (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Global and Planetary Change (1.8k citations), Ecology (1.5k citations), Environmental Engineering (787 citations), Atmospheric Science (906 citations) and Ecological Modeling (199 citations). D.K. McIver has collaborated with scholars based in United States. Frequent co-authors include M. A. Friedl, Curtis E. Woodcock, J.C.F. Hodges, Alan H. Strahler, Feng Gao, D. Muchoney, Anton Schneider, Alan Cooper, Alessandro Baccini and Crystal Schaaf. Their work appears in journals such as Remote Sensing of Environment, Photogrammetric Engineering & Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Geophysical Research Letters and PhDT.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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