Jan Verbesselt

About Jan Verbesselt

Jan Verbesselt, With an exceptional h-index of 45 and a recent h-index of 37 (since 2020), a distinguished researcher at Wageningen Universiteit, specializes in the field of remote sensing, data management, change detection and time series analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests

Mapping the diversity of land uses following deforestation across Africa

Seasonal-Trend Time Series Decomposition on Graphics Processing Units

Retraction Note: New land-use-change emissions indicate a declining CO2 airborne fraction

StrucNet: a global network for automated vegetation structure monitoring

Characterizing aboveground biomass and tree cover of regrowing forests in Brazil using multi‐source remote sensing data

Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images

Landscape restoration and greening in Africa

Jan Verbesselt Information

University

Position

Associate Professor

Citations(all)

10385

Citations(since 2020)

6109

Cited By

6870

hIndex(all)

45

hIndex(since 2020)

37

i10Index(all)

82

i10Index(since 2020)

74

Email

University Profile Page

Google Scholar

Jan Verbesselt Skills & Research Interests

remote sensing

data management

change detection and time series analysis

Top articles of Jan Verbesselt

Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests

2024/1

Mapping the diversity of land uses following deforestation across Africa

Scientific Reports

2024/1/19

Seasonal-Trend Time Series Decomposition on Graphics Processing Units

2023/12/1

Retraction Note: New land-use-change emissions indicate a declining CO2 airborne fraction

2023/10/5

Jan Verbesselt
Jan Verbesselt

H-Index: 34

StrucNet: a global network for automated vegetation structure monitoring

Remote Sensing in Ecology and Conservation

2023/10

Characterizing aboveground biomass and tree cover of regrowing forests in Brazil using multi‐source remote sensing data

Remote Sensing in Ecology and Conservation

2023/4/27

Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images

Remote Sensing

2023/7/19

Jan Verbesselt
Jan Verbesselt

H-Index: 34

Lammert Kooistra
Lammert Kooistra

H-Index: 36

Landscape restoration and greening in Africa

Environmental Research Letters

2023/5/19

Jan Verbesselt
Jan Verbesselt

H-Index: 34

Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia

GIScience & Remote Sensing

2022/12/31

A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing

Remote Sensing

2022/11/3

Assessing Amazon rainforest regrowth with GEDI and ICESat-2 data

Science of Remote Sensing

2022/6/1

Evaluating recovery metrics derived from optical time series over tropical forest ecosystems

Remote Sensing of Environment

2022/6/1

Detecting regreening effects of land restoration in semi-arid Africa using a spatial-context approach in Google Earth Engine

EGU General Assembly Conference Abstracts

2022/5

Jan Verbesselt
Jan Verbesselt

H-Index: 34

RETRACTED ARTICLE: New land-use-change emissions indicate a declining CO2 airborne fraction

Nature

2022/3/17

Jan Verbesselt
Jan Verbesselt

H-Index: 34

Time series analysis for global land cover change monitoring: A comparison across sensors

Remote Sensing of Environment

2022/3/15

Code for" New land-use-change emissions indicate a declining CO2 airborne fraction"

2022

Jan Verbesselt
Jan Verbesselt

H-Index: 34

Dataset for assessing Amazon rainforest regrowth with GEDI and ICESat-2 data

2022

Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change …

Remote Sensing of Environment

2021/10/1

Jan Verbesselt
Jan Verbesselt

H-Index: 34

Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

Remote Sensing of Environment

2021/10/1

Sub-annual tropical forest disturbance monitoring using harmonized Landsat and Sentinel-2 data

International Journal of Applied Earth Observation and Geoinformation

2021/6/11

See List of Professors in Jan Verbesselt University(Wageningen Universiteit)

Co-Authors

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