Vegetation-light Interactions, Biodiversity Measurement from Space

The varying radiation regime has an impact on plant growth. We use physically based models of soil-vegetation-atmosphere transfer (and their inverse) to assess ecosystem level vegetation structure (or architecture) and biochemistry. Focus is on using 1D and 3D radiative transfer models specializing on retrieval of plant pigments (Chl a/b, Carotenoids, Anthocyanin), non-pigments (leaf water), and structure (LAI, leaf inclination angle, etc.). We use in-situ, airborne and spaceborne instruments in combination with inverse modeling of those radiative transfer models to retrieve those parameters. We also improve models of NPP by using advanced Light Use Efficiency (LUE) proxies, including steady-state Chlorophyll fluorescence in the O₂absorption line. We are interested in large scale changes of those parameters, allowing to model spatiotemporal changes of growth limiting factors, biochemistry and structure in a changing environment.

• Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features
  Bohler, JE; Schaepman, ME; Kneubuhler, M
  REMOTE SENSING, 11 (15):10.3390/rs11151780 AUG 2019
• Land use change and the migration geography of Greater White-fronted geese in European Russia
  Grishchenko, M; Prins, HHT; Ydenberg, RC; Schaepman, ME; de Boer, WF; de Knegt, HJ
  ECOSPHERE, 10 (8):10.1002/ecs2.2754 AUG 2019
• Ecosystem service change caused by climatological and non-climatological drivers: a Swiss case study
  Braun, D; de Jong, R; Schaepman, ME; Furrer, R; Hein, L; Kienast, F; Damm, A
  ECOLOGICAL APPLICATIONS, 29 (4):10.1002/eap.1901 JUN 2019
• A Back-Projection Tomographic Framework for VHR SAR Image Change Detection
  Dominguez, EM; Magnard, C; Meier, E; Small, D; Schaepman, ME; Henke, D
  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 57 (7):4470-4484; 10.1109/TGRS.2019.2891308 JUL 2019
• Mapping the Irradiance Field of a Single Tree: Quantifying Vegetation-Induced Adjacency Effects
  Kukenbrink, D; Hueni, A; Schneider, FD; Damm, A; Gastellu-Etchegorry, JP; Schaepman, ME; Morsdorf, F
  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 57 (7):4994-5011; 10.1109/TGRS.2019.2895211 JUL 2019
• Spatial variation of human influences on grassland biomass on the Qinghai-Tibetan plateau
  Li, CX; de Jong, R; Schmid, B; Wulf, H; Schaepman, ME
  SCIENCE OF THE TOTAL ENVIRONMENT, 665 678-689; 10.1016/j.scitotenv.2019.01.321 MAY 15 2019
• Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR
  Schneider, FD; Kukenbrink, D; Schaepman, ME; Schimel, DS; Morsdorf, F
  AGRICULTURAL AND FOREST METEOROLOGY, 268 249-257; 10.1016/j.agrformet.2019.01.033 APR 15 2019
• Minimizing soil moisture variations in multi-temporal airborne imaging spectrometer data for digital soil mapping
  Diek, S; Chabrillat, S; Nocita, M; Schaepman, ME; de Jong, R
  GEODERMA, 337 607-621; 10.1016/j.geoderma.2018.09.052 MAR 1 2019
• Automated detection of individual clove trees for yield quantification in northeastern Madagascar based on multi-spectral satellite data
  Roth, SIB; Leiterer, R; Volpi, M; Celio, E; Schaepman, ME; Joerg, PC
  REMOTE SENSING OF ENVIRONMENT, 221 144-156; 10.1016/j.rse.2018.11.009 FEB 2019
• Effect of environmental conditions on sun-induced fluorescence in a mixed forest and a cropland
  Paul-Limoges, E; Damm, A; Hueni, A; Liebisch, F; Eugster, W; Schaepman, ME; Buchmann, N
  REMOTE SENSING OF ENVIRONMENT, 219 310-323; 10.1016/j.rse.2018.10.018 DEC 15 2018
• Crop Classification in a Heterogeneous Arable Landscape Using Uncalibrated UAV Data
  Bohler, JE; Schaepman, ME; Kneubuhler, M
  REMOTE SENSING, 10 (8):10.3390/rs10081282 AUG 2018
• Understanding and assessing vegetation health by in situ species and remote-sensing approaches
  Lausch, A; Bastian, O; Klotz, S; Leitao, PJ; Jung, A; Rocchini, D; Schaepman, ME; Skidmore, AK; Tischendorf, L; Knapp, S
  METHODS IN ECOLOGY AND EVOLUTION, 9 (8):1799-1809; 10.1111/2041-210X.13025 AUG 2018

• Remote sensing of the plant pigment system
• Estimating net primary productivity using models of light interaction
• Radiative transfer modeling to map composition and chemistry of species at large scales
• Quantitatively assess the phylogenetic organization of plants from satellites
• Measurement of structural and biochemical traits and their response to global change
• Assess spatiotemporal changes of functional diversity of spatially dominant species

• Ecological genomics (linking genetic and pigment diversity)
• Phenomics
• Spectranomics
• Combination of light interactions with gas exchange models