Journal Papers
2023
- Klein, I., Uereyen, S., Eisfelder, C., Pankov, V., Oppelt, N., Kuenzer, C. (2023). Application of geospatial and remote sensing data to support locust management International Journal of Applied Earth Observation and Geoinformation, 117, 103212. https://doi.org/10.1016/j.jag.2023.103212
- Landmann, T., Agboka, K.M., Klein, I., Abdel-Rahman, E.M., Kimathi, E., Mudereri, B.T., Malenge, B., Mohamed, M.M., Tonnang H.E.Z. (2023). Towards early response to desert locust swarming in eastern Africa by estimating timing of hatching Ecological Modelling, 484, 110476. https://doi.org/10.1016/j.ecolmodel.2023.110476
2022
- Klein, I., Cocco, A., Uereyen, S., Mannu, R., Floris, I., Oppelt, N., Kuenzer, C. (2022). Outbreak of Moroccan Locust in Sardinia (Italy): A Remote Sensing Perspective Remote Sensing, 14(23), 6050. https://doi.org/10.3390/rs14236050
- Klein, I., van der Woude, S., Schwarzenbacher, F., Muratova, N., Slagter, B., Malakhov, D., Oppelt, N., Kuenzer, C. (2022). Predicting suitable breeding areas for different locust species – A multi-scale approach accounting for environmental conditions and current land cover situation. International Journal of Applied Earth Observation and Geoinformation, 107, 102672. https://doi.org/10.1016/j.jag.2021.102672
2021
- Klein, I., Oppelt, N. and Kuenzer, C. (2021). Application of Remote Sensing Data for Locust Research and Management—A Review. Insects 12(3), 233. https://doi.org/10.3390/insects12030233
Other related publications
- Eisfelder, C., Klein, I., Bekkuliyeva, A., Kuenzer, C., Buchroithner, M., Dech, S. (2017). Above-ground biomass estimation based on NPP time-series− A novel approach for biomass estimation in semi-arid Kazakhstan. Ecological indicators 72, 13-22. https://doi.org/10.1016/j.ecolind.2016.07.042
- Eisfelder, C., Klein, I., Niklaus, M., Kuenzer, C. (2014). Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables. Journal of Arid Environments 103, 17-30. https://doi.org/10.1016/j.jaridenv.2013.12.005
- Gessner, U., Naeimi, V., Klein, I., Kuenzer, C., Klein, D., Dech, S. (2013). The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia. Global and Planetary Change 110, 74-87. https://doi.org/10.1016/j.gloplacha.2012.09.007
- Klein, I., Gessner, U. Kuenzer, C. (2012). Regional land cover mapping and change detection in Central Asia using MODIS time-series. Applied Geography 35 (1-2), 219-234. https://doi.org/10.1016/j.apgeog.2012.06.016
Conferences and Workshops
2022
- Landmann, T., Malenge, B., Abdel-Rahman, E., Klein, I., Tonnang, H., Wafula, S., Kimathi, E. (2022). Towards early responds to desert locust swarming in eastern Africa. Tropentag, 14-16 September, Prague, Czech Republic.
- Schwing, T. (2022). Locust-Tec - Der geodätische Beitrag beim Heuschreckenmonitoring in Kasachstan. Bund der Öffentlich bestellten Vermessungsingenieure e.V. 2022 Kongress - Der Beitrag der Geodäten zum Klimaschutz, 9-11 June, Heidelberg, Germany.
- Klein, I., van der Woude, S., Schwarzenbacher, F., Hoeser, T., Slagter, B., Eisfelder, C., Sogno, P., Kuenzer, C. (2022). The hazard of locust outbreaks - Examples from EO to support locust management. ESA Living Planet Symposium, 23-27 May, Bonn, Germany.
- Klein, I. (2022). Remote sensing applications for large scale monitoring of surface water at high temporal resolution and land surface dynamics in Central Asia. 4th Tashkent Water Security Lectures (TWSL) in the frame of the Green Central Asia Initiative, 18 May, online.
2021
- Klein, I., Pankov, V., Niyazbekov, Z., Schwing, T., Muratova, N., Malakhov, M., Tsychuyeva, N., Grueber, T., Uspanov, A., Raissova, N (2021). Locust-Tec project – Introduction of Innovative and Environmentally Friendly Technologies for Locust Management in Kazakhstan and Examples from Practice and Application with SUNMobil. The Role of Innovative Technologies in the Sustainable Development of the Agricultural Sector in Kazakhstan. DKU Webinar, 7-8 December, Almaty, Kazakhstan.
- Schwing, T., Klein, I., Grueber, T. (2021). Locust-Tec Activities - SunMobil and Drone applications. Deutsch-zentralasiatischen Fachkonferenzreihe: Wissenschaft trifft Wirtschaft – Innovationen für Nachhaltigkeit, 29-30 June, Nursultan-City, Kazakhstan.
2019
- Klein, I., Schwing, T., Grueber, T., Hoextermann, D., Spilker, B., Kambulin, V., Pankov, V. (2019). Einführung innovativer und umweltschonender Technologien für das Heuschrecken-Management in Kasachstan. CLIENT-II Konferenz, 17-18 September, Berlin, Germany.
- Schwing, T. (2019). Heuschreckenbrutgebiete detektieren mit UAV und Multispektralsensorik in Kasachstan. INTERGEO. 17 September, Stuttgart, Germany.
2018
- Klein, I., Schwing, T., Grueber, T., Hoextermann, D., Spilker, B. (2018). Heuschreckenmanagement: Ausgangspunkt für Futter- und Nahrungsmittel. Germany and Kazakhstan - Partner for development of sustainable agriculture, 26 October, Astana, Kazakhstan.
- Klein, I., Schwing, T., Grueber, T., Hoextermann, D., Spilker, B. (2018). Locust-Tec Project Overview. CLIENT-II Workshop, 25 September, Bonn, Germany.
Theses
2023
- Dolgov, A. (2023). Prozessierung und Auswertung von UAV-Multispektralaufnahmen und Entwicklung eines Arbeitsablaufs zur Detektion von Heuschreckenbefall in Kasachstan. Bachelor Thesis, University of Applied Sciences of Karlsruhe.
2022
Klein, I. (2022). Remote Sensing Applications to Support Locust Management and Research - Evaluating the Potential of Earth Observation for Locust Outbreaks in different Regions. PhD thesis, Christian-Albrechts-Universität zu Kiel.
Waweru, J. (2022). Exploring the potential of remote sensing application to assess locust damage: A case study of the first and second wave locust invasion in Laikipia and Samburu counties, Kenya. Master thesis, United Nations University, Bonn.
2021
- Schwarzenbacher, F. (2021). Habitat suitability modeling for Desert Locust in the Awash River basin: Estimation of the breeding probability based on remote sensing, climatology and environment data. Master thesis, Julius-Maximilians-Universität Würzburg.
2020
Erdmann, A. (2020). Feldfruchtklassifikation mit Sentinel-1 und Sentinel-2 Daten für die Jahre 2017 bis 2019 und Detektion von sortenspezifischen Anomalien in der Region Turkistan, Kasachstan. Bachelor thesis, University of Tuebingen.
Metz, I. (2020). Schadensdetektion von Heuschreckengebieten in Kasachstan auf der Basis von Multispektralbildern. Bachelor Thesis, University of Applied Sciences of Karlsruhe.
2019
Huefer, V. (2019). Modeling habitat suitability and outbreak potential of the italian locust Calliptamus italicus in Pavlodar Region, Kazakhstan based on remote sensing. Master thesis, University of Trier.
Samedov, A. (2019). Development of remote sensing solutions for locust damage detection in Kazakhstan. Master Thesis, University of Applied Sciences of Karlsruhe.