D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 36 Citations 4,942 92 World Ranking 4173 National Ranking 338

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Ecosystem

Vegetation, Greenhouse gas, Meteorology, Biomass and Remote sensing are his primary areas of study. His research in Vegetation intersects with topics in Land use, Physical geography and Pollution. His work in Meteorology addresses subjects such as Land cover, which are connected to disciplines such as Vegetation type and Vegetation types.

His Biomass research is multidisciplinary, incorporating elements of Fire regime, Atmospheric sciences and Carbon cycle. His Carbon cycle research is multidisciplinary, incorporating perspectives in Shrubland, Woodland and Taiga. His studies in Remote sensing integrate themes in fields like Image resolution, Logging, Coherence and Interferometry.

His most cited work include:

  • Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data (206 citations)
  • A new, global, multi‐annual (2000–2007) burnt area product at 1 km resolution (195 citations)
  • Restoration Ecology of Lowland Tropical Peatlands in Southeast Asia: Current Knowledge and Future Research Directions (164 citations)

What are the main themes of his work throughout his whole career to date?

Kevin Tansey spends much of his time researching Remote sensing, Vegetation, Lidar, Greenhouse gas and Synthetic aperture radar. His work deals with themes such as Cartography and Pixel, which intersect with Remote sensing. His research integrates issues of Hydrology, Climate change, Meteorology and Atmospheric sciences in his study of Vegetation.

His Meteorology research incorporates themes from Land cover and Physical geography. His studies deal with areas such as Peat, Biomass and Carbon cycle as well as Greenhouse gas. The Synthetic aperture radar study combines topics in areas such as Radar, Interferometry, C band and Taiga.

He most often published in these fields:

  • Remote sensing (48.33%)
  • Vegetation (31.67%)
  • Lidar (12.50%)

What were the highlights of his more recent work (between 2018-2021)?

  • Vegetation (31.67%)
  • Remote sensing (48.33%)
  • Normalized Difference Vegetation Index (8.33%)

In recent papers he was focusing on the following fields of study:

Kevin Tansey mainly focuses on Vegetation, Remote sensing, Normalized Difference Vegetation Index, Radiometer and Moderate-resolution imaging spectroradiometer. His biological study spans a wide range of topics, including Condition index, Spatial distribution and Leaf area index. His Remote sensing research focuses on Digital elevation model in particular.

In his study, which falls under the umbrella issue of Digital elevation model, Lidar is strongly linked to Old-growth forest. His Normalized Difference Vegetation Index research includes themes of National park, Woody cover, Estimation and Phenology. His Moderate-resolution imaging spectroradiometer research incorporates elements of Tropics, Atmospheric sciences, Field and Precipitation.

Between 2018 and 2021, his most popular works were:

  • Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries (23 citations)
  • Forest biomass retrieval approaches from earth observation in different biomes (23 citations)
  • Land Surface Temperature Retrieval from Sentinel-3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm (12 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Ecosystem

His primary areas of study are Remote sensing, Radiometer, Vegetation, Normalized Difference Vegetation Index and Spatial distribution. Kevin Tansey studies Remote sensing, focusing on Digital elevation model in particular. As part of one scientific family, Kevin Tansey deals mainly with the area of Digital elevation model, narrowing it down to issues related to the Tropical vegetation, and often Lidar.

His Vegetation research incorporates elements of Agriculture, Radiance, Precipitation, Condition index and Moderate-resolution imaging spectroradiometer. His research integrates issues of Image resolution, Advanced very-high-resolution radiometer and Field in his study of Normalized Difference Vegetation Index. His biological study spans a wide range of topics, including Woodland, Physical geography, Biome and Scale.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data

Kevin Tansey;Jean‐Marie Grégoire;Daniela Stroppiana;Adélia Sousa.
Journal of Geophysical Research (2004)

292 Citations

A new, global, multi‐annual (2000–2007) burnt area product at 1 km resolution

Kevin Tansey;Jean-Marie Grégoire;Pierre Defourny;Roland Leigh.
Geophysical Research Letters (2008)

289 Citations

Restoration Ecology of Lowland Tropical Peatlands in Southeast Asia: Current Knowledge and Future Research Directions

Susan Page;Agata Hosciło;Henk Wösten;Jyrki Jauhiainen.
Ecosystems (2009)

284 Citations

The GBA2000 initiative: Developing a global burnt area database from SPOT-VEGETATION imagery

J.-M. Grégoire;K. Tansey;J. M. N. Silva.
International Journal of Remote Sensing (2003)

226 Citations

Ten years of global burned area products from spaceborne remote sensing-A review: Analysis of user needs and recommendations for future developments

Florent Mouillot;Martin G. Schultz;Chao Yue;Patricia Cadule.
International Journal of Applied Earth Observation and Geoinformation (2014)

199 Citations

Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

Wolfgang Wagner;Adrian Luckman;Jan Vietmeier;Kevin Tansey.
Remote Sensing of Environment (2003)

172 Citations

Landscape transformations in savannas of northern South America: Land use/cover changes since 1987 in the Llanos Orientales of Colombia

M.H. Romero-Ruiz;S.G.A. Flantua;K. Tansey;J.C. Berrio.
Applied Geography (2012)

163 Citations

Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data

K. Tansey;N. Selmes;A. Anstee;N. J. Tate.
International Journal of Remote Sensing (2009)

152 Citations

Application of airborne LiDAR to mapping seismogenic faults in forested mountainous terrain, southeastern Alps, Slovenia

Dickson Cunningham;Stephen Grebby;Kevin Tansey;Andrej Gosar;Andrej Gosar.
Geophysical Research Letters (2006)

146 Citations

Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation

Marc Padilla;Marc Padilla;Stephen V. Stehman;Ruben Ramo;Dante Corti.
Remote Sensing of Environment (2015)

139 Citations

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