What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Ecosystem
Remote sensing, Vegetation, Physical geography, Synthetic aperture radar and Radar are his primary areas of study.
The study incorporates disciplines such as Algorithm and Ensemble selection in addition to Remote sensing.
His Vegetation study integrates concerns from other disciplines, such as Seasonality, Lidar, Woodland and Habitat.
His Physical geography research is multidisciplinary, relying on both Soil science, Boreal, Chronosequence, Spatial variability and Normalized Difference Vegetation Index.
His Radar research is multidisciplinary, incorporating elements of Arid, Carbon sink and Taiga.
Heiko Balzter has researched Taiga in several fields, including Image resolution, Coherence, Logging, Backscatter and Afforestation.
His most cited work include:
- The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle (399 citations)
- Cellular automata models for vegetation dynamics (253 citations)
- Markov chain models for vegetation dynamics (157 citations)
What are the main themes of his work throughout his whole career to date?
Heiko Balzter spends much of his time researching Remote sensing, Vegetation, Synthetic aperture radar, Physical geography and Land cover.
Remote sensing is closely attributed to Radar in his research.
His Vegetation study combines topics in areas such as Climatology, Atmospheric sciences and Sustainability.
Heiko Balzter works mostly in the field of Synthetic aperture radar, limiting it down to topics relating to Backscatter and, in certain cases, Biomass, as a part of the same area of interest.
His study explores the link between Physical geography and topics such as Taiga that cross with problems in Biome.
The Land cover study combines topics in areas such as Arid, Satellite imagery and Land use, land-use change and forestry.
He most often published in these fields:
- Remote sensing (42.31%)
- Vegetation (18.27%)
- Synthetic aperture radar (14.42%)
What were the highlights of his more recent work (between 2018-2021)?
- Vegetation (18.27%)
- Remote sensing (42.31%)
- Physical geography (13.46%)
In recent papers he was focusing on the following fields of study:
Heiko Balzter mostly deals with Vegetation, Remote sensing, Physical geography, Forestry and Spatial distribution.
His research in Vegetation is mostly focused on Normalized Difference Vegetation Index.
His Remote sensing research incorporates themes from Chlorophyll content, Multi sensor and Gross primary productivity.
His Physical geography research incorporates elements of Snow, Climatic variability and Taiga.
His research investigates the connection with Forestry and areas like Deforestation which intersect with concerns in Atmospheric sciences, Carbon accounting, Forest dynamics, Carbon cycle and Understory.
His Spatial distribution research also works with subjects such as
- Biome and related Woodland, Biomass and Satellite imagery,
- Forest inventory, which have a strong connection to Synthetic aperture radar and Tropics.
Between 2018 and 2021, his most popular works were:
- Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: Methods and guidance from the Global Forest Observations Initiative, Edition 3.0 (26 citations)
- Forest biomass retrieval approaches from earth observation in different biomes (23 citations)
- Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods. (14 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
Heiko Balzter spends much of his time researching Physical geography, Lidar, Spatial distribution, Meteorology and Estimation.
Temperate climate, Radar and Biomass is closely connected to Forest inventory in his research, which is encompassed under the umbrella topic of Physical geography.
His Lidar research includes themes of Woodland, Biome and Tropical vegetation.
His work carried out in the field of Meteorology brings together such families of science as Artificial neural network and Correlation coefficient.
His study looks at the intersection of Estimation and topics like Woody cover with Earth observation.
His Synthetic aperture radar research is classified as research in Remote sensing.
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