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| Remote sensing literature | ||||||||||||||||||||
| Achee, N. L., J. P. Grieco, P. Masuoka, R. G. Andre, D. R. Roberts, J. Thomas, I. Briceno, R. King, and E. Rejmankova. 2006. Use of remote sensing and geographic information systems to predict locations of Anopheles darlingi-positive breeding sites within the sibun river in Belize, Central America. J. Med. Entomol. 43: 382-392. | ||||||||||||||||||||
| Adams, M. L., W. D. Philpot, and W. A. Norvell. 1999. Yellowness index: an application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation. Int. J. Remote Sens. 20: 3663-3675. | ||||||||||||||||||||
| Adams, M. L., W. A. Norvell, W. D. Philpot, and J. H. Perverly. 2000. Toward the discrimination of manganese, zinc, copper, and iron deficiency in 'Bragg' soybean using spectral detection methods. Agron. J. 92: 268-274. | ||||||||||||||||||||
| Afanasyev, Y. D., N. P. Nezlin, and A. G. Kostianoy. 2001. Patterns of seasonal dynamics of remotely sensed chlorophyll and physical environment in the Newfoundland region. Remote Sens. Environ. 76: 268-282. | ||||||||||||||||||||
| Apan, A., A. Held, S. Phinn, and J. Markley. 2003. Formulation and assessment of narrow-band vegetation indices from EO-1 hyperion imagery for discriminating sugarcane disease, pp. 1-13, Spatial Sciences 2003. | ||||||||||||||||||||
| Arbogast, R. T., P. E. Kendra, D. K. Weaver, and D. Shuman. 2000. Insect infestation of stored oats in Florida and field evaluation of a device for counting insects electronically. J. Econ. Entomol. 93: 1035-1044. | ||||||||||||||||||||
| Aronoff, S. 1985. The minimum accuracy value as an index of classification accuracy pp. 118-130. In L. K. Fenstermaker [ed.], Remote sensing thematic accuracy assessment: a compendium. American Society for Photogrammetry and Remote Sensing, Bethesda. | ||||||||||||||||||||
| Asner, G. P., J. A. Hicke, and D. B. Lobell. Per-pixel analysis of forest structure: vegetation indices, spectral mixture analysis and canopy reflectance modeling. | ||||||||||||||||||||
| Atkinson, P. M., R. Webster, and P. J. Curran. 1992. Cokriging with ground-based radiometry. Remote Sens. Environ. 41: 45-60. | ||||||||||||||||||||
| Atkinson, P. M., and N. J. Tate. 2000. Spatial scale problems and geostatistical solutions: a review. Prof. Geog. 52: 607-623. | ||||||||||||||||||||
| Bajwa, S. G., and L. F. Tian. 2001. Aerial CIR remote sensing for weed density mapping in a soybean field. Transactions of the Asae 44: 1965-1974. | ||||||||||||||||||||
| Baranoski, G. V. G., and J. G. Rokne. 2005. A practical approach for estimating the red edge position of plant leaf reflectance. Int. J. Remote Sens. 26: 503-521. | ||||||||||||||||||||
| Baret, F., I. Champion, G. Guyot, and A. Podaire. 1987. Monitoring wheat canopies with a high spectral resolution radiometer. Remote Sens. Environ. 22: 367-378. | ||||||||||||||||||||
| Baret, F., and G. Guyot. 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 35: 161-173. | ||||||||||||||||||||
| Basnyat, P., B. McConkey, G. R. Lafond, A. Moulin, and Y. Pelcat. 2004. Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies. Can. J. Plant Sci. 84: 97-103. | ||||||||||||||||||||
| Bauer, M. E. 1985. Spectral inputs to crop identification and condition assessment. P. IEEE 73: 1071 - 1085. | ||||||||||||||||||||
| Beck, L. R., B. M. Lobitz, and B. L. Wood. 2000. Remote sensing and human health: New sensors and new opportunities. Emerg. Infect. Dis. 6: 217 - 227. | ||||||||||||||||||||
| Blackburn, G. A. 1998. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. Int. J. Remote Sens. 19: 657-675. | ||||||||||||||||||||
| Blazquez, C. H., and G. J. Edwards. 1986. Spectral reflectance of healthy and diseased watermelon leaves. Ann. Appl. Biol. 108: 243-349. | ||||||||||||||||||||
| Boone, J. D., K. C. McGwire, E. W. Otteson, R. S. Debaca, E. A. Kuhn, P. Villard, P. F. Brussard, and S. S. St.Jeor. 2000. Remote sensing and geographic information systems: Charting sin nombre virus infections in deer mice. Emerg. Infect. Dis. 6: 248 - 258. | ||||||||||||||||||||
| Bourguet, D., M. Desquilbet, and S. p. Lemarie'. 2005. Regulating insect resistance management: the case of non-Bt corn refuges in the US. J. Environ. Manage. 76: 210-220. | ||||||||||||||||||||
| Brandhorst-Hubbard, J. L., K. L. Flanders, R. W. Mankin, E. A. Guertal, and R. L. Crocker. 2001. Mapping of soil insect infestations sampled by excavation and acoustic methods. J. Econ. Entomol. 94: 1452-1458. | ||||||||||||||||||||
| Brewster, C. C., J. C. Allen, and D. D. Kopp. 1999. IPM from space: Using satellite imagery to construct regional crop maps for studying crop-insect interaction. Am. Entomol. 45: 105 - 117. | ||||||||||||||||||||
| Broge, N. H., and E. Leblanc. 2000. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens. Environ. 76: 156-172. | ||||||||||||||||||||
| Brooker, S. 2002. Schistomes, snails and satellites. Acta Trop. 82: 207-214. | ||||||||||||||||||||
| Brown, R. B., and S. D. Noble. 2005. Site-specific weed management: sensing requirements - what do we need to see? Weed Sci. 53: 252-258. | ||||||||||||||||||||
| Bruce, L. M., C. H. Koger, and J. Li. 2002. Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction. IEEE T Geosci Remote 40: 2331-2338. | ||||||||||||||||||||
| Calera, A., J. Gonzalez-Piqueras, and J. Melia. 2004. Monitoring barley and corn growth from remote sensing data at field scale. Int. J. Remote Sens. 25: 97-109. | ||||||||||||||||||||
| Carter, G. A. 1993. Responses of leaf spectral reflectance to plant stress. Am. J. Bot. 80: 239-243. | ||||||||||||||||||||
| Carter, G. A., and A. K. Knapp. 2001. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. Am. J. Bot. 88: 677-684. | ||||||||||||||||||||
| Castro-Esau, K. L., G. A. Sanchez-Azofeifa, and B. Rivard. 2006. Comparison of spectral indices obtained using multiple spectroradiometers. Remote Sens. Environ. | ||||||||||||||||||||
| Chappelle, E. W., M. S. Kim, and J. E. McMurtrey III. 1992. Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentration of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves. Remote Sens. Environ. 39: 239-347. | ||||||||||||||||||||
| Chege, P. G., T. L. Clark, and B. E. Hibbard. 2005. Alternate host phenology affects survivorship, growth, and development of western corn rootworm (Coleoptera: Chrysomelidae) larvae. Environ. Entomol. 34: 1441-1447. | ||||||||||||||||||||
| Chilcutt, C. F., and B. E. Tabashnik. 2004. Contamination of refuges by Bacillus thuringiensis toxin genes from transgenic maize. PNAS 101: 7526-7529. | ||||||||||||||||||||
| Chust, G., J. L. Pretus, D. Ducrot, A. Bedos, and L. DeHarveng. 2003. Identification of landscape units from an insect perspective. Ecography 26: 257-268. | ||||||||||||||||||||
| Cihlar, J., L. St.-Laurent, and J. A. Dyer. 1991. Relation between the normalized difference vegetation index and ecological variables. Remote Sens. Environ. 35: 279-298. | ||||||||||||||||||||
| Cihlar, J., R. Latifovic, J. Chen, J. Beaubien, Z. Li, and S. Magnussen. 2000. Selecting representative high resolution sample images for land cover studies. Part 2: application to estimating land cover composition. Remote Sens. Environ. 72: 127-138. | ||||||||||||||||||||
| Clark, P. L., T. T. Vaughn, L. J. Meinke, J. Molin-Ochoa, and J. E. Foster. 2006. Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae) larval feeding behavior on transgenic maize (MON 863) and its isoline. J. Econ. Entomol. 99: 722-727. | ||||||||||||||||||||
| Clevers, J. G. P. W. 1988. The derivation of a simplified reflectance model for the estimation of leaf area index. Remote Sens. Environ. 25: 53-69. | ||||||||||||||||||||
| Clevers, J. G. P. W. 1999. The use of imaging spectrometry for agricultural applications. ISPRS J. Photogramm. 54: 299-304. | ||||||||||||||||||||
| Congalton, R. G. 1988. A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data. Photogramm. Eng. Rem. S. 54: 593-600. | ||||||||||||||||||||
| Congalton, R. G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37: 35-46. | ||||||||||||||||||||
| Congalton, R. G., and K. Green. 1999. Assessing the accuracy of remotely sensed data: principles and practices. pp. 1-137. Lewis Publishers, New York. | ||||||||||||||||||||
| Coppin, P., I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin. 2004. Digital change detection methods in ecosystem monitoring: a review. Int. J. Remote Sens. 25: 1565-1596. | ||||||||||||||||||||
| Crist, E. P. 1984. Effects of cultural and environmental factors on corn and soybean spectral development patterns. Remote Sens. Environ. 14: 3-13. | ||||||||||||||||||||
| Crowder, D. W., D. W. Onstad, and M. E. Gray. 2006. Planting transgenic insecticidal corn based on economic thresholds: consequences for integrated pest management and insect resistance management. J. Econ. Entomol. 99: 899-907. | ||||||||||||||||||||
| Curran, P. J. 1985. Aerial photography for the assessment of crop condition: a review. Appl. Geogr. 5: 347-360. | ||||||||||||||||||||
| Curran, P. J., and H. D. Williamson. 1986. Sample size for ground and remotely sensed data. Remote Sens. Environ. 20: 31-41. | ||||||||||||||||||||
| Curran, P. J., J. Dungan, B. A. Macler, S. E. Plummer, and D. L. Peterson. 1992. Reflectance spectroscopy of fresh whole leaves for the estimation chemical concentration. Remote Sens. Environ. 39: 153-166. | ||||||||||||||||||||
| Dale, P. E. R., S. A. Ritchie, B. M. Territo, C. D. Morris, A. Muhar, and B. H. Kay. 1998. An overview of remote sensing and GIS for surveillance of mosquito vector habitat and risk assessment. J. Vector Ecol. 23: 54-61. | ||||||||||||||||||||
| Datt, B. 1998. Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a+b, and total carotenoid content in eucalyptus leaves. Remote Sens. Environ. 66: 111-121. | ||||||||||||||||||||
| Daughtry, C. S. T., K. P. Gallo, S. N. Goward, S. D. Prince, and W. P. Kustas. 1992. Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies. Remote Sens. Environ. 39: 141-152. | ||||||||||||||||||||
| Daughtry, C. S. T., C. L. Walthall, M. S. Kim, B. Colstoun, and J. E. McMurtrey III. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ. 74: 229-239. | ||||||||||||||||||||
| Diker, K., D. F. Heermann, W. C. Bausch, and D. K. Wright. 2004. Shannon-Wiener's diversity index for linking yield monitor and remotely sensed data for corn. T. ASAE 47: 1347-1354. | ||||||||||||||||||||
| Dungan, J. L., J. N. Perry, M. R. T. Dale, P. Legendre, S. Citron-Pousty, M.-J. Fortin, A. Jakomulska, M. Miriti, and M. S. Rosenberg. 2002. A balanced view of scale in spatial analysis. Ecography 25: 626 - 640. | ||||||||||||||||||||
| Eisen, R. J., L. Eisen, and R. S. Lane. 2005. Remote sensing (Normalized difference vegetation index) classification of risk versus minimal risk habitats for human exposure to Ixodes pacificus (Acari: Ixodidae) nymphs in Mendocino county, California. J. Med. Entomol. 42: 75-81. | ||||||||||||||||||||
| Elliott, L. J., D. C. Mason, M. J. Wilkinson, J. Allainguillaume, C. Norris, M. Alexander, and R. Welters. 2004. The role of satellite image-processing for national-scale estimates of gene flow from genetically modified crops: rapeseed in the UK as a model. J. Appl. Ecol. 41: 1174-1184. | ||||||||||||||||||||
| Elvidge, C. D., Z. Chen, and D. P. Groeneveld. 1993. Detection of trace quantities of green vegetation in 1990 AVIRIS data. Remote Sens. Environ. 44: 271-279. | ||||||||||||||||||||
| Elwadie, M. E., F. J. Pierce, and J. Qi. 2005. Remote sensing of canopy dynamics and biophysical variables estimation of corn in Michigan. Agron. J. 97: 99-105. | ||||||||||||||||||||
| Ferguson, R. B., G. W. Hergert, J. S. Schepers, C. A. Gotway, J. E. Cahoon, and T. A. Peterson. 2002. Site-specific nitrogen management of irrigated maize: Yield and soil residual nitrate effects. Soil Science Society of America Journal 66: 544-553. | ||||||||||||||||||||
| Fischer, A. 1994. A model for the seasonal variations of vegetation indices in coarse resolution data and its inversion to extract crop parameters. Remote Sens. Environ. 48: 220-230. | ||||||||||||||||||||
| Fisher, P. 1997. The pixel: a snare and a delusion. Int. J. Remote Sens. 18: 679 - 685. | ||||||||||||||||||||
| Fitzgerald, G. J., S. J. Maas, and W. R. Detar. 2004. Spider mite detection and canopy component mapping in cotton using hyperspectral imagery and spectral mixture analysis. Precision Agriculture 5: 275-289. | ||||||||||||||||||||
| Foley, S., B. Rivard, G. A. Sanchez-Azofeifa, and J. Calvo. 2006. Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sens. Environ.: 11. | ||||||||||||||||||||
| Foreman, R. T. T. 2001. Mosaic patterns, pp. 286 - 321. In R. T. T. Foreman [ed.], Land mosaics, the ecology of landscapes and regions. Cambridge University Press, Cambridge. | ||||||||||||||||||||
| Frazier, B. E., C. S. Walters, and E. M. Perry. 1997. Role of remote sensing in Site-specific management. 149 - 161. | ||||||||||||||||||||
| French, A. N., T. J. Schmugge, and W. P. Kustas. 2000. Discrimination of senescent vegetation using thermal emissivity contrast. Remote Sens. Environ. 74: 249-254. | ||||||||||||||||||||
| Gamon, J. A., I. Filella, and J. Penuelas. 1992. The dynamic 531-Nanometer reflectance signal:a survey of twenty angiosperm species, pp. 172-177. In H. Y. Yamamoto and C. M. Smith [eds.], Photosynthetic responses to the environment. American Society of Plant Physiologists, Hawaii Institute of Tropical Agriculture and Human resources, University of Hawaii. | ||||||||||||||||||||
| Gamon, J. A., J. Penuelas, and C. B. Field. 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens. Environ. 41: 35-44. | ||||||||||||||||||||
| Giampietro, M., and S. Ulgiati. 2005. Integrated assessment of large-scale biofuel production. CRC CR REV PLANT SCI 24: 1-20. | ||||||||||||||||||||
| Gibson, K. D., R. Dirks, C. R. Medlin, and L. Johnston. 2004. Detection of weed species in soybean using multispectral digital images. Weed Technol. 18: 742-749. | ||||||||||||||||||||
| Gilabert, M. A., S. Gandia, and J. Melia. 1996. Analyses of spectral-biophysical relationships for a corn canopy. Remote Sens. Environ. 55: 11-20. | ||||||||||||||||||||
| Gitelson, A. A., and M. N. Merzlyak. 1994. Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. J. Plant Physiol. 143: 286-292. | ||||||||||||||||||||
| Gitelson, A. A., M. N. Merzlyak, and H. K. Lichtenthaler. 1996. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. J. Plant Physiol. 148: 501-508. | ||||||||||||||||||||
| Gitelson, A. A., Y. J. Kaufman, and M. N. Merzlyak. 1996. Use of green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58: 289-298. | ||||||||||||||||||||
| Gitelson, A. A., C. Buschmann, and H. K. Lichtenthaler. 1999. The chlorophyll fluorescence ratio F-735/F-700 as an accurate measure of the chlorophyll content in plants. Remote Sens. Environ. 69: 296-302. | ||||||||||||||||||||
| Gitelson, A. A., Y. Zur, O. B. Chivkunova, and M. N. Merzlyak. 2002. Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochemistry and Photobiology 75: 272-281. | ||||||||||||||||||||
| Gitelson, A. A., Y. J. Kaufman, R. Stark, and D. Rundquist. 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 80: 76-87. | ||||||||||||||||||||
| Gitelson, A. A., A. Vina, T. J. Arkebauer, D. C. Rundquist, G. Keydan, and B. Leavitt. 2003. Remote estimation of leaf area index and green leaf biomass in maize canopies - art. no. 1248. Geophys. Res. Lett. 30: 1248-1248. | ||||||||||||||||||||
| Gitelson, A. A., Y. T. Gritz, and M. N. Merzlyak. 2003. Relationships between leaf chloropohyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Physiol. 160: 271-282. | ||||||||||||||||||||
| Gitelson, A. A. 2004. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J. Plant Physiol. 161: 165-173. | ||||||||||||||||||||
| Gitelson, A. A., and M. N. Merzlyak. 2004. Non-destructive assessment of chlorophyll, carotenoid and anthocyanin content in higher plant leaves: principles and algorithms, pp. 78-94. In S. Stamatiadis, J. M. Lynch and J. S. Schepers [eds.], Remote sensing for agriculture and the environment. Peripheral Editions, Larissa, Greece. | ||||||||||||||||||||
| Gitelson, A. A., A. Vina, V. Ciganda, D. C. Rundquist, and T. J. Arkebauer. 2005. Remote estimation of canopy chlorophyll content in crops. Geophys. Res. Lett. 32: 8403-8403. | ||||||||||||||||||||
| Gitelson, A. A., A. Vina, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. Keydan, B. Leavitt, V. Ciganda, G. G. Burba, and A. E. Suyker. 2006. Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J. Geophys. Res. 111: 1-13. | ||||||||||||||||||||
| Gitelson, A. A., G. P. Keydan, and M. N. Merzlyak. 2006. Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophys. Res. Lett. 33: 1-5. | ||||||||||||||||||||
| Glass, G. E., J. E. Cheek, J. A. Patz, T. M. Shields, T. J. Doyle, D. A. Thoroughman, D. K. Hunt, R. E. Enscore, K. L. Gage, C. Irland, C. J. Peters, and R. Bryan. 2000. Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome. Emerg. Infect. Dis. 6: 238 - 247. | ||||||||||||||||||||
| Glass, G. E., T. L. Yates, J. B. Fine, T. M. Shields, J. B. Kendall, A. G. Hope, C. A. Parmentor, C. J. Peters, T. G. Ksiazek, C.-S. Li, J. A. Patz, and J. N. Mills. 2002. Satellite imagery characterizes local animal reservior populations of Sin Nombre virus in the southwestern United States. PNAS 99: 16817 - 16822. | ||||||||||||||||||||
| Goel, P. K., S. O. Prasher, J. A. Landry, R. M. Patel, A. A. Viau, and J. R. Miller. 2003. Estimation of crop biophysical parameters through airborne and field hyperspectral remote sensing. Transactions of the Asae 46: 1235-1246. | ||||||||||||||||||||
| Goetz, S. J., S. D. Prince, and J. Small. 2000. Advances in satellite remote sensing of environmental variables for epidemiological applications. Adv. Parasit. 47: 289 - 306. | ||||||||||||||||||||
| Graeff, S., D. Steffens, and S. Schubert. 2001. Use of reflectance measurements for the early detection of N, P, Mg, and Fe deficiencies in Zea mays L. Journal of Plant Nutrition and Soil Science-Zeitschrift Fur Pflanzenernahrung Und Bodenkunde 164: 445-450. | ||||||||||||||||||||
| Graps, A. 1995. An introduction to wavelets. IEEE Comput Sci Eng 2. | ||||||||||||||||||||
| Gustafson, E. J. 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1: 143-156. | ||||||||||||||||||||
| Haboudane, D., J. R. Miller, N. Tremblay, P. J. Zarco-Tejada, and L. Dextraze. 2002. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 81: 416-426. | ||||||||||||||||||||
| Haboudane, D., J. R. Miller, E. Pattey, P. J. Zarco-Tejada, and I. B. Strachan. 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sens. Environ. 90: 337-352. | ||||||||||||||||||||
| Hallum, C. R., and C. R. J. Perry. 1984. Estimating optimal sampling unit sizes for satellite surveys. Remote Sens. Environ. 14: 183-196. | ||||||||||||||||||||
| Han, S., L. L. Hendrickson, and B. Ni. 2002. Comparison of satellite and aerial imagery for detecting leaf chlorophyll content in corn. Transactions of the Asae 45: 1229-1236. | ||||||||||||||||||||
| Hay, S. I., M. J. Packer, and D. J. Rogers. 1997. The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease. Int. J. Remote Sens. 18: 2899 - 2930. | ||||||||||||||||||||
| Hay, S. I., R. W. Snow, and D. J. Rogers. 1998. From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. Parasitol. Today 14: 306-313. | ||||||||||||||||||||
| Hoch, W. A., E. L. Zeldin, and B. H. McCown. 2001. Physiological significance of anthocyanins during autumnal leaf senescence. Tree. | ||||||||||||||||||||
| Hong, L., R. J. Lascano, E. M. Barnes, J. Booker, L. T. Wilson, K. F. Bronson, and E. Segarra. 2001. Multispectral reflectance of cotton related to plant growth, soil water and texture, and site elevation. Agron. J. 93: 1327-1337. | ||||||||||||||||||||
| Hong, N., J. G. White, R. Weisz, C. R. Crozier, M. L. Gumpertz, and D. K. Cassel. 2006. Remote sensing-informed variable-rate nitrogen management of wheat and corn: agronomic and groundwater outcomes Agron. J. 98: 327-338. | ||||||||||||||||||||
| Huete, A. R., R. D. Jackson, and D. F. Post. 1985. Spectral response of a plant canopy with different soil backgrounds. Remote Sens. Environ. 17: 37-53. | ||||||||||||||||||||
| Inoue, Y. 2003. Synergy of remote sensing and modeling for estimating ecophysiological processes in plant production. Plant Production Science 6: 3-16. | ||||||||||||||||||||
| Jacob, B. G., K. L. Arheart, D. A. Griffith, C. M. Mbogo, A. K. Githeko, J. L. Regens, J. I. Githure, R. Novak, and J. C. Beier. 2005. Evaluation of environmental data for identification of Anopheles (Diptera: Culicidae) aquatic habitats in Kisumu and Malindi, Kenya. J. Med. Entomol. 42: 751-755. | ||||||||||||||||||||
| Jensen, R. R., and M. W. Binford. 2004. Measurement and comparison of Leaf Area Index estimators derived from satellite remote sensing techniques. Int. J. Remote Sens. 25: 4251-4265. | ||||||||||||||||||||
| Jiang, X., L. Tang, C. Wang, and C. Wang. 2004. Spectral characteristics and feature selection of hyperspectral remote sensing data. Int. J. Remote Sens. 25: 51-59. | ||||||||||||||||||||
| Kitron, U., L. H. Otieno, L. L. Hungerford, A. Odulaja, W. U. Brigham, O. O. Okello, M. Joselyn, M. M. Mohamed-Ahmed, and E. Cook. 1996. Spatial analysis of the distribution of tsetse flies in the Lambwe Valley, Kenya using Landsat TM satellite imagery and GIS. J. Anim. Ecol. 65: 371-380. | ||||||||||||||||||||
| Kristensen, T. K., J. B. Malone, and J. C. McCarroll. 2001. Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa: a preliminary model for Biomphalaria pfeifferi in Ethiopia. Acta Trop. 79: 73-78. | ||||||||||||||||||||
| Kustas, W. P., F. Li, T. J. Jackson, J. H. Prueger, J. I. MacPherson, and M. Wolde. 2004. Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa. Remote Sens. Environ. 92: 535-547. | ||||||||||||||||||||
| LeDrew, E. F., H. Holden, M. A. Wulder, C. Derksen, and C. Newman. 2004. A spatial statistical operator applied to multidate satellite imagery for identification of coral reef stress. Remote Sens. Environ. 91: 271-279. | ||||||||||||||||||||
| Legendre, P., and L. Legendre. 1998. Numerical Ecology. pp. 853. Second edition. Elsevier, New York. | ||||||||||||||||||||
| Levin, S. A. 1992. The problem of pattern and scale in ecology: the Robert H. MacArthur award lecture. Ecology 73: 1943-1967. | ||||||||||||||||||||
| Lichtenthaler, H. K. 1998. The stress concept in plants: an introduction. Ann. NY Acad. Sci. 851: 187-198. | ||||||||||||||||||||
| Lichtenthaler, H. K., O. Wenzel, C. Buschmann, and A. A. Gitelson. 1998. Plant stress detection by reflectance and fluorescence. Ann. NY Acad. Sci. 851: 271-285. | ||||||||||||||||||||
| Lillesand, T. M., and R. W. Kiefer. 2000. Remote sensing and image interpretation. pp. 724. John Wiley & Sons, Inc., New York. | ||||||||||||||||||||
| Lioubimtseva, E. 2003. An evaluation of VEGETATION-1 imagery for broad-scale landscape mapping of Russia: effects of resolution on landscape pattern. Landscape Urban Plan 65: 187-200. | ||||||||||||||||||||
| Liu, L. Y., J. H. Wang, W. J. Huang, C. J. Zhao, B. Zhang, and Q. X. Tong. 2004. Estimating winter wheat plant water content using red edge parameters. Int. J. Remote Sens. 25: 3331-3342. | ||||||||||||||||||||
| Magg, T., A. E. Melchinger, D. Klein, and M. Bohn. 2002. Relationship between European corn borer resistance and concentration of mycotoxins porduced by Fusarium spp. in grains of transgenic Bt maize hybrids, their isogenic counterparts and commerical varieties. Plant Breeding 121: 146-154. | ||||||||||||||||||||
| Mankin, R. W., J. L. Brandhorst-Hubbard, K. L. Flanders, M. Zhang, R. L. Crocker, S. L. Lapointe, C. W. McCoy, J. R. Fisher, and D. K. Weaver. 2000. Eavesdropping on insects hidden in soil and interior structures of plants. J. Econ. Entomol. 93: 1171-1182. | ||||||||||||||||||||
| Mankin, R. W., S. L. Lapointe, and R. A. Franqui. 2001. Acoustic surveying of subterranean insect populations in citrus groves. J. Econ. Entomol. 94: 853-859. | ||||||||||||||||||||
| Mankin, R. W., W. L. Osbrink, F. M. Oi, and J. B. ANderson. 2002. Acoustic detection of termite infestations in urban trees. J. Econ. Entomol. 95: 981-988. | ||||||||||||||||||||
| Mariotti, M., L. Ercoli, and A. Masoni. 1996. Spectral properties of iron-deficient corn and sunflower leaves. Remote Sens. Environ. 58: 282-288. | ||||||||||||||||||||
| Mayer, A. L., and G. N. Cameron. 2003. Consideration of grain and extent in landscape studies of terrestrial vertebrate ecology. Landscape Urban Plan 65: 201-217. | ||||||||||||||||||||
| McIver, D. K., and M. A. Friedl. 2002. Using prior probabilities in decision-tree classification of remotely sensed data. Remote Sens. Environ. 81: 253-261. | ||||||||||||||||||||
| Medlin, C. R., D. R. Shaw, P. D. Gerard, and F. E. LaMastus. 2000. Using remote sensing to detect weed infestations in Glycine max. Weed Sci. 48: 393-398. | ||||||||||||||||||||
| Melakeberhan, H. 2002. Embracing the emerging precision agriculture technologies for site-specific management of yield-limiting factors. J. Nematol. 34: 185-188. | ||||||||||||||||||||
| Merzlyak, M. N., A. A. Gitelson, O. B. Chivkunova, and V. Y. Rakitin. 1999. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiol Plantarum 106: 135-141. | ||||||||||||||||||||
| Merzlyak, M. N., A. A. Gitelson, O. B. Chivkunova, A. E. Solovchenko, and S. I. Pogosyan. 2003. Application of reflectance spectroscopy for analysis of higher plant pigments. Russian Journal of Plant Physiology 50: 704-710. | ||||||||||||||||||||
| Merzlyak, M. N., A. E. Solovchenko, A. I. Smagin, and A. A. Gitelson. 2005. Apple flavonols during fruit adaptation to solar radiation: spectral features and technique for non-destructive assessment. J. Plant Physiol. 162: 151-160. | ||||||||||||||||||||
| Mirik, M., G. J. Michels, S. Kassymzhanova-Mirik, N. C. Elliott, and R. Bowling. 2006. Hyperspectral spectrometry as a means to differentiate uninfested and infested winter wheat by greenbug (Hemiptera: Aphididae). J. Econ. Entomol. 99: 1682-1690. | ||||||||||||||||||||
| Mitchell, B. 2005. Nasa and EPA team to provide a new look at corn. Technology Innovation 12: 23-24. | ||||||||||||||||||||
| Moya, I., L. Camenen, S. Evain, Y. Goulas, Z. G. Cerovic, G. Latouche, J. Flexas, and A. Ounis. 2004. A new instrument for passive remote sensing 1. Measurements of sunlight-induced chlorophyll fluorescence. Remote Sens. Environ. 91: 186-197. | ||||||||||||||||||||
| Narumalani, S., D. R. Mishra, and R. G. Rothwell. 2004. Change detection and landscape metrics for inferring anthropogenic processes in the greater EFMO area. Remote Sens. Environ. 91: 478-489. | ||||||||||||||||||||
| Ogden, N. H., I. K. Barker, G. Beauchamp, S. Brazeau, D. F. Charron, A. Maarouf, M. G. Morshed, C. J. O'Callaghan, R. A. Thompson, D. Waltner-Toews, and L. R. Lindsay. 2006. Investigation of ground level and remote-sensed data for habitat classification and prediction of survival of Ixodes scapularis in habitats of southeastern Canada. J. Med. Entomol. 43: 403-414. | ||||||||||||||||||||
| Osborne, S. L., J. S. Schepers, D. D. Francis, and M. R. Schlemmer. 2002. Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements. Agron. J. 94: 1215-1221. | ||||||||||||||||||||
| Ozdogan, M., and C. E. Woodcock. 2006. Resolution dependent errors in remote sensing of cultivated areas. Remote Sens. Environ. 103: 203-217. | ||||||||||||||||||||
| Penuelas, J., and Y. Inque. 1999. Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves. Photosynthetica 36: 355-360. | ||||||||||||||||||||
| Perry, C. R. J., and L. F. Lautenschlager. 1984. Functional equivalence of spectral vegetation indices. Remote Sens. Environ. 14: 169-182. | ||||||||||||||||||||
| Phillips, P. L., J. B. Welch, and M. Kramer. 2004. Seasonal and spatial distributions of adult screwworms (Diptera: Calliphoridae) in the Panama Canal area, Republic of Panama. J. Med. Entomol. 41: 121-129. | ||||||||||||||||||||
| Pinter, P. J., J. L. Hatfield, J. S. Schepers, E. M. Barnes, M. S. Moran, C. S. T. Daughtry, and D. R. Upchurch. 2003. Remote sensing for crop management. Photogramm. Eng. Rem. S. 69: 647-664. | ||||||||||||||||||||
| Prasaf, A. K., L. Chai, R. P. Singh, and M. Kafatos. 2006. Crop yield estimation model for Iowa using remote sensing and surface parameters. Int. J. Appl. Earth Observ. Geoinf. 8: 26-33. | ||||||||||||||||||||
| Qi, J., A. Chehbouni, A. R. Huete, Y. H. Kerr, and S. Sorooshian. 1994. A modified soil adjusted vegetation index. Remote Sens. Environ. 48: 119-126. | ||||||||||||||||||||
| Ragia, L., and S. Winter. 2000. Contributions to a quality description of areal objects in spatial data sets. ISPRS J. Photogramm. 55: 201-213. | ||||||||||||||||||||
| Raore, S. B., R. E. Carlson, C. D. Pilcher, and M. E. Rice. 2000. Bt and non-Bt maize growth and development as affected by temperature and drought stress. Agron. J. 92: 1027-1035. | ||||||||||||||||||||
| RayChaudhuri, B. 2004. Study of spectral response of plant pigments for remote sensing applications. Indian Journal of Physics and Proceedings of the Indian Association for the Cultivation of Science 78: 677-680. | ||||||||||||||||||||
| Richardson, A. D., S. P. Duigan, and G. P. Berlyn. 2002. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytol. 153: 185-194. | ||||||||||||||||||||
| Riethmuller, R., M. Heineke, H. Kuhl, and R. Keuker-Rudiger. 2000. Chlorophyll alpha concentration as an index of sediment surface stabilisation by microphytobenthos? Cont. Shelf Res. 20: 1351-1372. | ||||||||||||||||||||
| Rodgers, S. E., and T. N. Mather. 2006. Evaluating satellite sensor-derived indices for Lyme disease risk prediction. J. Med. Entomol. 43: 337-343. | ||||||||||||||||||||
| Rondeaux, G., M. Steven, and F. Baret. 1996. Optimization of soil-adjusted vegetation indices. Remote Sens. Environ. 55: 95-107. | ||||||||||||||||||||
| Sadras, V. O., L. Echarte, and F. H. Andrade. 2000. Profiles of leaf senescence during reproductive growth of sunflower and maize. Ann. Bot-London 85: 187-195. | ||||||||||||||||||||
| Senay, G. B., A. D. Ward, J. G. Lyon, N. R. Fausey, and S. E. Nokes. 1998. Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming. Transactions of the Asae 41: 489-495. | ||||||||||||||||||||
| Shanahan, J. F., J. S. Schepers, D. D. Francis, G. E. Varvel, W. W. Wilhelm, J. M. Tringe, M. R. Schlemmer, and D. J. Major. 2001. Use of remote-sensing imagery to estimate corn grain yield. Agron. J. 93: 583-589. | ||||||||||||||||||||
| Shaw, D. R. 2005. Translation of remote sensing data into weed management decisions. Weed Sci. 53: 264-273. | ||||||||||||||||||||
| Shaw, D. R. 2005. Remote sensing and site-specific weed management. Frontiers in Ecology and the Environment 3: 526-532. | ||||||||||||||||||||
| Sims, D. A., and J. A. Gamon. 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81: 337-354. | ||||||||||||||||||||
| Strachan, I. B., E. Pattey, and J. B. Boisvert. 2002. Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sens. Environ. 80: 213-224. | ||||||||||||||||||||
| Stylinski, C. D., J. A. Gamon, and W. C. Oechel. 2002. Seasonal patterns of relectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 131: 366-374. | ||||||||||||||||||||
| Thenkabail, P. S., R. B. Smith, and E. De Pauw. 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sens. Environ. 71: 158-182. | ||||||||||||||||||||
| Thenkabail, P. S., E. A. Enclona, M. S. Ashton, and B. Van der Meer. 2004. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications. Remote Sens. Environ. 91: 354-376. | ||||||||||||||||||||
| Thenot, F., M. Methy, and T. Winkel. 2002. The photochemical reflectance index (PRI) as a water-stress index. Int. J. Remote Sens. 23: 5135-5139. | ||||||||||||||||||||
| Thomson, M. C., S. J. Connor, P. Milligan, and S. P. Flasse. 1997. Mapping malaria risk in Africa: what can satellite data contribute. Parasitol. Today 13: 313-318. | ||||||||||||||||||||
| Toews, M. D., T. C. Pearson, and J. F. Campbell. 2006. Imaging and automated detection of Sitophilus oryzae (Coleoptera: Curculionidae) pupae in hard red winter wheat. J. Econ. Entomol. 99: 583-592. | ||||||||||||||||||||
| Tomppo, E., and R. L. Czaplewski. 2002. Potential for a remote-sensing-aided forest resource survey for the whole globe. Unasylva 210: 16-18. | ||||||||||||||||||||
| Treitz, P. 2001. Variogram analysis of high spatial resolution remote sensing data: An examination of boreal forest ecosystems. Int. J. Remote Sens. 22: 3895-3900. | ||||||||||||||||||||
| Tso, B., and P. M. Mather. 1999. Crop discrimination using multi-temporal SAR imagery. Int. J. Remote Sens. 20: 2443-2460. | ||||||||||||||||||||
| Turner, M. G. 1989. Landscape ecology: the effect of pattern on process. Annu. Rev. Ecol. Syst. 20: 171-197. | ||||||||||||||||||||
| Vina, A., A. A. Gitelson, D. C. Rundquist, G. Keydan, B. Leavitt, and J. Schepers. 2004. Remote sensing: Monitoring maize (Zea mays L.) phenology with remote sensing. Agron. J. 96: 1139-1147. | ||||||||||||||||||||
| Vina, A., and A. A. Gitelson. 2005. New developments in the remote estimation of the fraction of absorbed photsynthetically active radition in crops. Geophys. Res. Lett. 32: 1-4. | ||||||||||||||||||||
| Vogt, J. T. 2004. Quantifying imported fire ant (Hymenoptera: Formicidae) mounds with airborne digital imagery. Environ. Entomol. 33: 1045-1051. | ||||||||||||||||||||
| Vogt, J. T. 2004. Detection of imported fire ant (Hymenoptera: Formicidae) mounds with satellite imagery. Environ. Entomol. 33: 1718-1721. | ||||||||||||||||||||
| Wagner, H. H., and M.-J. Fortin. 2005. Spatial analysis of landscapes: concepts and statistics. Ecology 86: 1975-1987. | ||||||||||||||||||||
| West, J. S., C. Bravo, R. Oberti, D. Lemaire, D. Moshou, and H. A. McCartney. 2003. The potential of optical canopy measurements fro targeted control of field crop diseases. Annu. Rev. Phytopathol. 41: 593-614. | ||||||||||||||||||||
| Wiegand, C. L., A. J. Richardson, D. E. Escobar, and A. H. Gerbermann. 1991. Vegetation indices in crop assessments. Remote Sens. Environ. 38: 105-119. | ||||||||||||||||||||
| Wiens, J. A. 1989. Spatial scaling in ecology. Funct. Ecol. 3: 385-397. | ||||||||||||||||||||
| Willers, J. L., G. A. Milliken, C. G. O'Hara, and J. N. Jenkins. 2004. Information technologies and the design and analysis of site-specific experiments within commericial cotton fields, pp. 41-73. In G. A. Milliken [ed.], Sixteenth Annual Kansas State University Conference on Applied Statistics in Agriculture, Manhattan, Kansas. | ||||||||||||||||||||
| Wood, B. L., L. R. Beck, R. K. Washino, S. M. Palchick, and P. D. Sebesta. 1991. Spectral and spatial characterization of rice field mosquito habitat. Int. J. Remote Sens. 12: 621-626. | ||||||||||||||||||||
| Wood, B. L., L. R. Beck, R. K. Washino, K. A. Hibbard, and J. S. Salute. 1992. Estimating high mosquito-producing rice fields using spectral and spatial data. Int. J. Remote Sens. 13: 2813-2826. | ||||||||||||||||||||
| Yang, C., and J. H. Everitt. 2002. Relationships between yield monitor data and airborne multidate multispectral digital imagery for grain sorghum. Precis. Ag. 3: 373-388. | ||||||||||||||||||||
| Yang, Z. M., M. N. Rao, S. D. Kindler, and N. C. Elliott. 2004. Remote sensing to detect plant stress, with particular reference to stress caused by the greenbug: A review. Southwestern Entomologist 29: 227-236. | ||||||||||||||||||||
| Yang, Z., M. N. Rao, N. C. Elliott, S. D. Kindler, and T. W. Popham. 2005. Using ground-based multispectral radiometry to detect stress in wheat caused by greenbug (Homoptera: Aphididae) infestation. Comput. Electron. Agr. 47: 121-135. | ||||||||||||||||||||
| Yoder, B. J., and R. E. Pettigrew-Crosby. 1995. Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400-2500 nm) at leaf and canopy scales. Remote Sens. Environ. 53: 199-211. | ||||||||||||||||||||
| Zarco-Tejada, P. J., J. R. Miller, G. H. Mohammed, T. L. Noland, and P. H. Sampson. 2002. Vegetation stress detection through chlorophyll a+b estimation and fluorescence effects on hyperspectral imagery. J. Environ. Qual. 31: 1433-1441. | ||||||||||||||||||||
| Zarco-Tejada, P. J., J. R. Miller, A. Morales, A. Berjon, and J. Aguera. 2004. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops. Remote Sens. Environ. 90: 463-476. | ||||||||||||||||||||
| Zarco-Tejada, P. J., S. L. Ustin, and M. L. Whiting. 2005. Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery. Agron. J. 97: 641-653. | ||||||||||||||||||||
| Zhang, M., R. L. Crocker, R. W. Mankin, K. L. Flanders, and J. L. Brandhorst-Hubbard. 2003. Acoustic identification and measurement of activity patterns of white grubs in soil. J. Econ. Entomol. 96: 1704-1710. | ||||||||||||||||||||
| Zhang, M., R. L. Crocker, R. W. Mankin, K. L. Flanders, and J. L. Brandhorst-Hubbard. 2003. Acoustic estimation of infestations and population densities of white grubs (Coleoptera: Scabaeidae) in turfgrass. J. Econ. Entomol. 96: 1770-1779. | ||||||||||||||||||||
| Zhao, D., K. R. Reddy, V. G. Kakani, J. J. Read, and G. A. Carter. 2003. Corn (Zea mays L.) growth, leaf pigment concentration, photosynthesis and leaf hyperspectral reflectance properties as affected by nitrogen supply. Plant Soil 257: 205-217. | ||||||||||||||||||||