{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:02:50Z","timestamp":1760241770596,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,19]],"date-time":"2018-09-19T00:00:00Z","timestamp":1537315200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>n\/a<\/jats:p>","DOI":"10.3390\/rs10091497","type":"journal-article","created":{"date-parts":[[2018,9,19]],"date-time":"2018-09-19T10:50:31Z","timestamp":1537354231000},"page":"1497","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Recent Progress and Developments in Imaging Spectroscopy"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6716-585X","authenticated-orcid":false,"given":"Mathias","family":"Kneub\u00fchler","sequence":"first","affiliation":[{"name":"Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Z\u00fcrich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Damm-Reiser","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Z\u00fcrich, Switzerland"},{"name":"Eawag, Swiss Federal Institute of Aquatic Science and Technology, \u00dcberlandstrasse 133, 8600 D\u00fcbendorf, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1109\/JSTARS.2016.2593984","article-title":"Field and airborne spectroscopy cross validation\u2014Some considerations","volume":"10","author":"Hueni","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.rse.2012.06.012","article-title":"Carnegie airborne observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion","volume":"124","author":"Asner","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"0194","DOI":"10.1038\/s41559-017-0194","article-title":"ISS observations offer insights into plant function","volume":"1","author":"Stavros","year":"2017","journal-title":"Nat. Ecol. Evol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1038\/s41467-017-01530-3","article-title":"Mapping functional diversity from remotely sensed morphological and physiological forest traits","volume":"8","author":"Schneider","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1641\/0006-3568(2004)054[0523:UISTSE]2.0.CO;2","article-title":"Using imaging spectroscopy to study ecosystem processes and properties","volume":"54","author":"Ustin","year":"2004","journal-title":"BioScience"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3727","DOI":"10.1111\/gcb.12664","article-title":"Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models","volume":"20","author":"Zhang","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1002\/2017GB005744","article-title":"Satellite chlorophyll fluorescence and soil moisture observations lead to advances in the predictive understanding of global terrestrial coupled carbon-water cycles","volume":"32","author":"Qiu","year":"2018","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1111\/2041-210X.12642","article-title":"How to predict plant functional types using imaging spectroscopy: Linking vegetation community traits, plant functional types and spectral response","volume":"8","author":"Schweiger","year":"2017","journal-title":"Methods Ecol. Evol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1038\/s41559-018-0551-1","article-title":"Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function","volume":"2","author":"Schweiger","year":"2018","journal-title":"Nat. Ecol. Evol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.jplph.2018.04.012","article-title":"Remote sensing of plant-water relations: An overview and future perspectives","volume":"227","author":"Damm","year":"2018","journal-title":"J. Plant Physiol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1038\/ngeo2957","article-title":"Regionally strong feedbacks between the atmosphere and terrestrial biosphere","volume":"10","author":"Green","year":"2017","journal-title":"Nat. Geosci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.ecolind.2017.06.045","article-title":"From instantaneous to continuous: Using imaging spectroscopy and in situ data to map two productivity-related ecosystem services","volume":"82","author":"Braun","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1016\/j.ecolind.2017.10.016","article-title":"Spatio-temporal trends and trade-offs in ecosystem services: An earth observation based assessment for switzerland between 2004 and 2014","volume":"89","author":"Braun","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Aasen, H., Honkavaara, E., Lucieer, A., and Zarco-Tejada, P. (2018). Quantitative remote sensing at ultra-high resolution with uav spectroscopy: A review of sensor technology, measurement procedures, and data correction workflows. Remote Sens., 10.","DOI":"10.3390\/rs10071091"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Rautiainen, M., Luke\u0161, P., Homolov\u00e1, L., Hovi, A., Pisek, J., and M\u00f5ttus, M. (2018). Spectral properties of coniferous forests: A review of in situ and laboratory measurements. Remote Sens., 10.","DOI":"10.3390\/rs10020207"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Berger, K., Atzberger, C., Danner, M., D\u2019Urso, G., Mauser, W., Vuolo, F., and Hank, T. (2018). Evaluation of the prosail model capabilities for future hyperspectral model environments: A review study. Remote Sens., 10.","DOI":"10.3390\/rs10010085"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mihai, L., Mac Arthur, A., Hueni, A., Robinson, I., and Sporea, D. (2018). Optimized spectrometers characterization procedure for near ground support of esa flex observations: Part 1 spectral calibration and characterisation. Remote Sens., 10.","DOI":"10.3390\/rs10020289"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hovi, A., Forsstr\u00f6m, P., M\u00f5ttus, M., and Rautiainen, M. (2018). Evaluation of accuracy and practical applicability of methods for measuring leaf reflectance and transmittance spectra. Remote Sens., 10.","DOI":"10.3390\/rs10010025"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Honkavaara, E., and Khoramshahi, E. (2018). Radiometric correction of close-range spectral image blocks captured using an unmanned aerial vehicle with a radiometric block adjustment. Remote Sens., 10.","DOI":"10.3390\/rs10020256"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Salehi, S., Lorenz, S., Vest S\u00f8rensen, E., Zimmermann, R., Fensholt, R., Henning Heincke, B., Kirsch, M., and Gloaguen, R. (2018). Integration of vessel-based hyperspectral scanning and 3D-photogrammetry for mobile mapping of steep coastal cliffs in the arctic. Remote Sens., 10.","DOI":"10.3390\/rs10020175"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Schl\u00e4pfer, D., Hueni, A., and Richter, R. (2018). Cast shadow detection to quantify the aerosol optical thickness for atmospheric correction of high spatial resolution optical imagery. Remote Sens., 10.","DOI":"10.3390\/rs10020200"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Verrelst, J., Rivera Caicedo, J., Mu\u00f1oz-Mar\u00ed, J., Camps-Valls, G., and Moreno, J. (2017). Scope-based emulators for fast generation of synthetic canopy reflectance and sun-induced fluorescence spectra. Remote Sens., 9.","DOI":"10.3390\/rs9090927"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Martin, R., Chadwick, K., Brodrick, P., Carranza-Jimenez, L., Vaughn, N., and Asner, G. (2018). An approach for foliar trait retrieval from airborne imaging spectroscopy of tropical forests. Remote Sens., 10.","DOI":"10.3390\/rs10020199"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Markiet, V., Hern\u00e1ndez-Clemente, R., and M\u00f5ttus, M. (2017). Spectral similarity and pri variations for a boreal forest stand using multi-angular airborne imagery. Remote Sens., 9.","DOI":"10.3390\/rs9101005"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Kycko, M., Zagajewski, B., Lavender, S., Romanowska, E., and Zwijacz-Kozica, M. (2018). The impact of tourist traffic on the condition and cell structures of alpine swards. Remote Sens., 10.","DOI":"10.3390\/rs10020220"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Vohland, M., Ludwig, M., Thiele-Bruhn, S., and Ludwig, B. (2017). Quantification of soil properties with hyperspectral data: Selecting spectral variables with different methods to improve accuracies and analyze prediction mechanisms. Remote Sens., 9.","DOI":"10.3390\/rs9111103"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Castaldi, F., Chabrillat, S., Jones, A., Vreys, K., Bomans, B., and van Wesemael, B. (2018). Soil organic carbon estimation in croplands by hyperspectral remote apex data using the lucas topsoil database. Remote Sens., 10.","DOI":"10.3390\/rs10020153"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Carmon, N., and Ben-Dor, E. (2018). Mapping asphaltic roads\u2019 skid resistance using imaging spectroscopy. Remote Sens., 10.","DOI":"10.3390\/rs10030430"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/9\/1497\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:21:25Z","timestamp":1760196085000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/9\/1497"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,19]]},"references-count":28,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["rs10091497"],"URL":"https:\/\/doi.org\/10.3390\/rs10091497","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,9,19]]}}}