H.J. Abdullah PhD (Haidi)

I am a senior researcher specializing in remote sensing, with a strong focus on biodiversity monitoring and mapping environmental DNA (eDNA). My expertise lies in quantitative remote sensing, where I analyze biochemical and biophysical plant properties to enhance our understanding of ecosystems. Additionally, I apply remote sensing techniques to precision agriculture, utilizing image spectroscopy and high-precision field data collection. My work sits at the intersection of technology and environmental science, driving innovative solutions for sustainable land management. Join me on this journey of discovery!

Expertise

• Earth and Planetary Sciences

  • Datum
  • Bark
  • Beetle
  • Investigation
  • Image
  • Infestation

• Agricultural and Biological Sciences

  • Bark Beetle
  • Ips typographus

Organisations

Publications

Research profiles

Current projects

Earth Observation for Biodiversity Modelling

Earth Observation for Biodiversity Modelling (EO4DIVERSITY) addresses important biodiversity science gaps, including forecasting ecological degradation in order to define effective actions to reduce terrestrial biodiversity loss, as well as filling data gaps, knowledge gaps, and gaps in the data-policy link, which may lead to a disconnection of biodiversity data that Earth observation can generate and policy strategies including the EU Biodiversity Strategy for 2030, the UN SDGs and the Convention on Biodiversity (CBD) post-2020 targets. The scientific and policy analyses, pilot demonstrations and agenda-setting that will be done during EO4Diversity will serve as a basis for implementing the EC-ESA Biodiversity Flagship Action in 2023. 

BIOSPACE

The overall aim of the BIOSPACE project is to monitor biodiversity by upscaling field observations and genomic (eDNA) information using next generation satellite remote sensing. A further key aim is the deepening of our scientific understanding of how biodiversity is impacted by anthropogenic pressure as well as by natural environmental gradients.To synthesize global biodiversity on a fine granular scale, the first specific objective is to predict biodiversity over large areas using environmental DNA (eDNA) and next-generation hyperspectral and LiDAR satellite remote sensing. As the richness in ecological function remains mostly invisible to remote sensing, the second objective is that global biodiversity may be monitored through ecosystem function by satellite. This would allow ecosystem function, expressed through foliar chemistry (e.g. N:P or C:N ratios) or through plant traits (expressed in Grimes' theoretical Competitor-Stress tolerator-Ruderal [CSR] strategies) to be parameterized and interpolated in next-generation satellite images using the functional genes from eDNA sequences. The third key objective will be to demonstrate and understand how the many available eDNA sequences interpolated by remote sensing for ecosystem function and taxonomy may be affected by environmental gradients and anthropogenic pressure. 

OBSGESSION

OBSGESSION strives to advance the understanding of direct and indirect drivers of biodiversity change through integrating Earth Observation methods, in-situ observations and state-of-the-art ecological modelling. The project addresses science-policy gaps, supports conservation planning, and helps share knowledge for effective engagement of international and EU stakeholders in ecosystem and biodiversity management.

Address

University of Twente

Langezijds (building no. 19), room 1106
Hallenweg 8
7522 NH Enschede
Netherlands

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