A US scientific community review of carbon cycle science gaps and
2026
Parazoo, N.C., Carroll, D., Abshire, J.B., Bar-On, Y.M., Birdsey, R.A., Bloom, A.A., Bowman, K.W., Braghiere, R.K., Bruhwiler, L.M., Byrne, B., Chatterjee, A., Crisp, D., Duncanson, L., Feldman, A.F., Fox, A.M., Frankenberg, C., Gay, B.A., Hopkins, F., Hoffman, F.M., Holmquist, J.R., Hutyra, L.R., Keller, M., Koven, C.D., Laughner, J.L., Liu, J., Lovenduski, N.S., MacBean, N., McKinley, G.A., McNicol, G., Menemenlis, D., Michalak, A.M., Miller, C.E., Nesser, H., Oda, T., Ordway, E.M., Ott, L.E., Paustian, K., Pierrat, Z.A., Poulter, B., Reed, S.C., Schimel, D.S., Serbin, S.P., Saatchi, S.S., Suto, H., Windham-Myers, L., Wunch, D.
Biomass, Forests, Vegetation Height, DISTURBANCE, Terrestrial Ecosystems
Heterogeneous climatic controls on tropical-forest biomass
2026
Nunes, Matheus Henrique, Muller-Landau, Helene C., Gorgens, Eric Bastos, Pascual, Adrian, Dubayah, Ralph
Forests, Evergreen Vegetation, Deciduous Vegetation, Shrubland/Scrub, Biomass, Grasslands, LIDAR WAVEFORM, Canopy Characteristics, Terrestrial Ecosystems , Terrain Elevation
Dual stage Spectral and Spatial Analyser (DSSA) - A novel deep learning model for methane detection from hyperspectral images
2026
George, Maria, Sethunadh, R.
Reflectance , Water Vapor
Congo Basin Carbon Cycle Responses to Global Change
2026
Worden, Sarah, Fu, Rong, Bloom, A. Anthony, Bauters, Marijn, Verbeeck, Hans, Fatoyinbo, Temilola, Hubau, Wannes, Koutika, LydieStella, Kengdo, Steve Kwatcho, Maes, Sybryn L., Medjibe, Vincent, Russo, Nicholas J., Saatchi, Sassan, Sagang, Le Bienfaiteur, Smith, Thomas B., Sonwa, Denis J., Boeckx, Pascal, Ordway, Elsa M.
Terrestrial Ecosystems
Retrieval of crop biophysical and biochemical traits using airborne hyperspectral observations and inversion of radiative transfer models over diverse cropping regions
2026
Ghetiya, Radhika Lalitkumar, Nigam, Rahul, Kalola, Arvind D.
Infrared Radiance, Visible Radiance
Deep learning and machine learning enable broad-scale woodland height
2025
Campbell, Michael J., Eastburn, Jessie F., Brewer, Simon C., Dennison, Philip E.
Terrestrial Ecosystems
Facilitating macrosystem biology with organismal-scale airborne remote
2025
Graves, Sarah J., Chowdhry, Ritesh, Zhou, Meilun, Harmon, Ira, Weinstein, Ben, Ernest, S. K. Morgan, Zare, Alina, White, Ethan P., Bohlman, Stephanie A.
Terrestrial Ecosystems
Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data
2025
Yadav, Suraj A., Zhang, Xin, Wijewardane, Nuwan K., Feldman, Max, Qin, Ruijun, Huang, Yanbo, Samiappan, Sathishkumar, Young, Wyatt, Tapia, Francisco G.
Reflectance , Water Vapor
Evaluating the Hyperspectral Sensitivity of the Differenced Normalized
2021
van Gerrevink, Max J., Veraverbeke, Sander
Wildfires , Biomass Burning, Fire Ecology, Forest Fire Science
Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction
2018
Stavros, E. Natasha, Coen, Janice, Peterson, Birgit, Singh, Harshvardhan, Kennedy, Kama, Ramirez, Carlos, Schimel, David
Wildfires , Biomass Burning, Fire Ecology, Forest Fire Science
Deconstructing the King megafire
2018
Coen, Janice L., Stavros, E. Natasha, FitesKaufman, Josephine A.
Wildfires , Biomass Burning, Fire Ecology, Forest Fire Science
Advancing Fire Science with Large Forest Plots and a Long-Term Multidisciplinary Approach
2018
Lutz, James, Larson, Andrew, Swanson, Mark
Wildfires , Biomass Burning, Fire Ecology, Forest Fire Science
Unprecedented remote sensing data over King and Rim megafires in the Sierra Nevada Mountains of California
2016
Stavros, E. Natasha, Tane, Zachary, Kane, Van R., Veraverbeke, Sander, McGaughey, Robert J., Lutz, James A., Ramirez, Carlos, Schimel, David
Wildfires , Biomass Burning, Fire Ecology, Forest Fire Science
Lossless compression methods for hyperspectral images
2004
Kubasova, O., Toivanen, P.
Canopy Transmittance, Reflectance