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Remote sensing for crop management / P.J. Pinter in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 6 (June 2003) . - pp 647 - 664 Titre : Remote sensing for crop management Type de document : Article/Communication Auteurs : P.J. Pinter, Auteur ; J.L. Hatfield, Auteur ; J.S. Schepers, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 647 - 664 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] cultures [Termes IGN] Etats-Unis [Termes IGN] exitance énergétique [Termes IGN] indice de végétation [Termes IGN] pesticide [Termes IGN] réflectance du sol [Termes IGN] réflectance végétale [Termes IGN] rendement agricole [Termes IGN] stress hydrique [Termes IGN] surveillance de la végétation Résumé : (Auteur) Scientists with the Agricultural Research Service (ARS) and various government agencies and private institutions have provided a great deal of fundamental information relating spectral reflectance and thermal emittance properties of soils and crops to their agronomic and biophysical characteristics. This knowledge has facilitated the development and use of various remote sensing methods for non-destructive monitoring of plant growth and development and for the detection of many environmental stresses which limit plant productivity. Coupled with rapid advances in computing and positionlocating technologies, remote sensing from ground-, air-, and space-based platforms is now capable of providing detailed spatial and temporal information on plant response to their local environment that is needed for site specific agricultural management approaches. This manuscript, which emphasizes contributions by ARS researchers, reviews the biophysical basis of remote sensing ; examines approaches that have been developed, refined, and tested for management of water, nutrients, and pests in agricultural crops ; and assesses the role of remote sensing in yield prediction. It concludes with a discussion of challenges facing remote sensing in the future. Numéro de notice : A2003-113 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.647 En ligne : https://doi.org/10.14358/PERS.69.6.647 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22409 [article]