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D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
8210
World Ranking
6077
National Ranking
90

Overview

Erkki Tomppo is affiliated with the University of Helsinki in Finland and has contributed to the field of environmental science through research focused on remote sensing and its applications. Their work spans several subfields including environmental engineering, ecology, aerospace engineering, global and planetary change, and atmospheric science.

Their primary research interests center around remote sensing and LiDAR applications, remote sensing in agriculture, soil geostatistics and mapping, synthetic aperture radar (SAR) applications and techniques, remote sensing and land use, landslides and related hazards, and remote-sensing image classification.

Frequent coauthors collaborating with Tomppo include Ronald E. McRoberts, Jaan Praks, Oleg Antropov, Ghasem Ronoud, and Ali Asghar Darvishsefat.

Erkki Tomppo has published in a range of scientific journals, with the most frequent publication venues being:

  • Remote Sensing
  • Canadian Journal of Remote Sensing
  • Forest Ecosystems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Some notable recent papers authored or coauthored by Tomppo include:

  • Detection of Forest Windstorm Damages with Multitemporal SAR Data-A Case Study: Finland, 2021, Remote Sensing
  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods-A Case Study from Dak Nong, Vietnam, 2020, Remote Sensing
  • Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran, 2021, Canadian Journal of Remote Sensing
  • A century of national forest inventories - informing past, present and future decisions, 2021, Forest Ecosystems
  • Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories, 2020, Remote Sensing

Best Publications

  • Estimating carbon accumulation rates of undrained mires in Finland–application to boreal and subarctic regions:

    Jukka Turunen;Erkki Tomppo;Kimmo Tolonen;Antti Reinikainen

  • Remote sensing support for national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo

  • Combining national forest inventory field plots and remote sensing data for forest databases

    Erkki Tomppo;Håkan Olsson;Göran Ståhl;Mats Nilsson

  • Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach

    Erkki Tomppo;Merja Halme

  • Specialist species of wood-inhabiting fungi struggle while generalists thrive in fragmented boreal forests

    Jenni Nordén;Jenni Nordén;Reijo Penttilä;Juha Siitonen;Erkki Tomppo

  • Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

    Ronald E. McRoberts;Erkki O. Tomppo;Andrew O. Finley;Juha Heikkinen

  • Selecting estimation parameters for the Finnish multisource National Forest Inventory

    Matti Katila;Erkki Tomppo

  • Multi-source national forest inventory of Finland.

    Erkki Tomppo

  • Advances and emerging issues in national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo;Erik. Naesset

  • A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

    Gherardo Chirici;Matteo Mura;Daniel McInerney;Nicolas Py

  • Finnish National Forest Inventory

    Erkki Tomppo

  • Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass

    Erkki Tomppo;Mats Nilsson;Mats Rosengren;Paula Aalto

  • Using remotely sensed data to construct and assess forest attribute maps and related spatial products

    Ronald E. McRoberts;Warren B. Cohen;Erik Naesset;Stephen V. Stehman

  • Common tree definitions for National Forest Inventories in Europe.

    Thomas Gschwantner;Klemens Schadauer;Claude Vidal;Adrian Lanz

  • Designing and Conducting a Forest Inventory - case: 9th National Forest Inventory of Finland

    Erkki Tomppo;Juha Heikkinen;Helena M. Henttonen;Antti Ihalainen

  • The national forest inventory in China: history - results - international context

    WeiSheng Zeng;Erkki Tomppo;Sean P. Healey;Klaus V. Gadow;Klaus V. Gadow;Klaus V. Gadow

  • A questionnaire-based review of the operational use of remotely sensed data by national forest inventories

    Frank Barrett;Ronald E. McRoberts;Erkki Tomppo;Emil Cienciala

  • Possibilities for harmonizing national forest inventory data for use in forest biodiversity assessments

    Susanne Winter;Gherardo Chirici;Ronald E. McRoberts;Elmar Hauk

  • Applying spatial conservation prioritization software and high-resolution GIS data to a national-scale study in forest conservation

    Joona Lehtomäki;Erkki Tomppo;Panu Kuokkanen;Ilkka Hanski

  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam

    Huong Thi Thanh Nguyen;Trung Minh Doan;Erkki Tomppo;Ronald E. McRoberts

  • Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery

    Erkki O. Tomppo;Caterina Gagliano;Flora De Natale;Matti Katila

  • Adapting Finnish Multi-Source Forest Inventory Techniques to the New Zealand Preharvest Inventory

    Erkki Tomppo;Chris Goulding;Matti Katila

Frequent Co-Authors

Ronald E. McRoberts
Ronald E. McRoberts University of Minnesota
Göran Ståhl
Göran Ståhl Swedish University of Agricultural Sciences
Gherardo Chirici
Gherardo Chirici University of Florence
Emil Cienciala
Emil Cienciala Czech Academy of Sciences
Atte Moilanen
Atte Moilanen University of Helsinki
Kalle Ruokolainen
Kalle Ruokolainen Aarhus University
Mats Nilsson
Mats Nilsson Swedish University of Agricultural Sciences
Sylvain Leduc
Sylvain Leduc Federal Reserve Bank of San Francisco
Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Hanna Tuomisto
Hanna Tuomisto University of Helsinki

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