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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]

Crop yield assessment from remote sensing / P.C. Doraiswamy 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 665 - 674 Titre : Crop yield assessment from remote sensing Type de document : Article/Communication Auteurs : P.C. Doraiswamy, Auteur ; S. Moulin, Auteur ; P.W. Cook, Auteur ; A. Stern, Auteur Année de publication : 2003 Article en page(s) : pp 665 - 674 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] blé (céréale) [Termes IGN] Dakota du Nord (Etats-Unis) [Termes IGN] image Landsat [Termes IGN] image NOAA-AVHRR [Termes IGN] intégrité des données [Termes IGN] modèle de transfert radiatif [Termes IGN] rendement agricole [Termes IGN] système d'information géographique [Termes IGN] zone semi-aride Résumé : (Auteur) Monitoring crop condition and production estimates at the state and county level is of great interest to the U.S. Department of Agriculture. The National Agricultural Statistical Service (NASS) of the U.S. Department of Agriculture conducts field interviews with sampled farm operators and obtains crop cuttings to make crop yield estimates at regional and state levels. NASS needs supplemental spatial data that provides timely information on crop condition and potential yields. In this research, the crop model EPIC (Erosion Productivity Impact Calculator) was adapted for simulations at regional scales. Satellite remotely sensed data provide a real-time assessment of the magnitude and variation of crop condition parameters, and this study investigates the use of these parameters as an input to a crop growth model. This investigation was conducted in the semi-arid region of North Dakota in the southeastern part of the state. The primary objective was to evaluate a method of integrating parameters retrieved from satellite imagery in a crop growth model to simulate spring wheat yields at the sub-county and county levels. The input parameters derived from remotely sensed data provided spatial integrity, as well as a real-time calibration of model simulated parameters during the season, to ensure that the modeled and observed conditions agree. A radiative transfer model, SAIL (Scattered by Arbitrary Inclined Leaves), provided the link between the satellite data and crop model. The model parameters were simulated in a geographic information system grid, which was the platform for aggregating yields at local and regional scales. A model calibration was performed to initialize the model parameters. This calibration was performed using Landsat data over three southeast counties in North Dakota. The model was then used to simulate crop yields for the state of North Dakota with inputs derived from NOAA-AVHRR data. The calibration and the state level simulations are compared with spring wheat yields reported by NASS objective yield surveys. Numéro de notice : A2003-114 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.665 En ligne : https://doi.org/10.14358/PERS.69.6.665 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22410 [article]

Applications and research using remote sensing for rangeland management / E.R. Hunt 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 675 - 693 Titre : Applications and research using remote sensing for rangeland management Type de document : Article/Communication Auteurs : E.R. Hunt, Auteur ; James H. Everitt, Auteur ; J.C. Ritchie, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 675 - 693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] couvert végétal [Termes IGN] données lidar [Termes IGN] écosystème [Termes IGN] flore locale [Termes IGN] image Landsat [Termes IGN] image NOAA-AVHRR [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] paturage [Termes IGN] prairie [Termes IGN] rugosité [Termes IGN] surveillance écologique [Termes IGN] système d'information géographique [Termes IGN] télédétection aérienne Résumé : (Auteur) Rangelands are grasslands, shrublands, and savannas used by wildlife for habitat and livestock in order to produce food and fiber. Assessment and monitoring of rangelands are currently based on comparing the plant species present in relation to an expected successional end-state defined by the ecological site. In the future, assessment and monitoring may be based on indicators of ecosystem health, including sustainability of soil, sustainability of plant production, and presence of invasive weed species. USDA Agricultural Research Service (ARS) scientists are actively engaged in developing quantitative, repeatable, and low-cost methods to measure indicators of ecosystern health using remote sensing. Noxious weed infestations can be determined by careful selection of the spatial resolution, spectral bands, and timing of image acquisition. Rangeland productivity can be estimated with either Landsat or Advanced Very High Resolution Radiometer data using models of gross primary production based on radiation use efficiency. Lidar measurements are useful for canopy structure and soil roughness, indicating susceptibility to erosion. The value of remote sensing for rangeland management depends in part on combining the imagery with other spatial data within geographic information systems. Finally, ARS scientists are developing the knowledge on which future rangeland assessment and monitoring tools will be developed. Numéro de notice : A2003-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.675 En ligne : https://doi.org/10.14358/PERS.69.6.675 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22411 [article]

Remote sensing techniques to assess water quality / J.C. Ritchie 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 695 - 704 Titre : Remote sensing techniques to assess water quality Type de document : Article/Communication Auteurs : J.C. Ritchie, Auteur ; P.V. Zimba, Auteur ; James H. Everitt, Auteur Année de publication : 2003 Article en page(s) : pp 695 - 704 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] algue [Termes IGN] chlorophylle [Termes IGN] image Landsat-TM [Termes IGN] image optique [Termes IGN] plante aquatique d'eau salée [Termes IGN] qualité des eaux [Termes IGN] rétrodiffusion [Termes IGN] surveillance écologique [Termes IGN] température de surface de la mer [Termes IGN] turbidité des eaux Résumé : (Auteur) Remote sensing techniques can be used to monitor water quality parameters (i.e., suspended sediments (turbidity), chlorophyll, and temperature). Optical and thermal sensors on boats, aircraft, and satellites provide both spatial and temporal information needed to monitor changes in water quality parameters for developing management practices to improve water quality. Recent and planned launches of satellites with improved spectral and spatial resolution sensors should lead to greater use of remote sensing techniques to assess and monitor water quality parameters. Integration of remotely sensed data, GPS, and GIS technologies provides a valuable tool for monitoring and assessing waterways. Remotely sensed data can be used to create a permanent geographically located database to provide a baseline for future comparisons. The integrated use of remotely sensed data, GPS, and GIS will enable consultants and natural resource managers to develop management plans for a variety of natural resource management applications. Numéro de notice : A2003-116 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.695 En ligne : https://doi.org/10.14358/PERS.69.6.695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22412 [article]