Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

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Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: USAGE OF DIFFERENT SPECTRAL BANDS IN AGRICULTURAL ENVIRONMENTAL PROTECTION P. Burai, J. Tamas, Cs. Lenart, I. Pechmann

Document type:: Multivolume work

Structure type:: Chapter

ul 2004 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 Table 2. Suggested periods for taking the images Season State assessment Control 1. March - April - assuming the hazard of flood and surplus water |- distinguishing the cultivated and - study of soil facilities not disturbed areas - Identification of fields of winter and perennial crop (wheat, alfalfa, etc.) - | surveying of the expansion of wetlands 2. April-Mai - assuming the hazard of flood and surplus water |- ^ protection of breeding habitats - identification of fields of winter and perennial |- limitation of grazing and crop (wheat, alfalfa, etc.) assignation of expansion of - | identification of buffer zones filtering zones 3. July-September - evaluation of salinity processes - limitation of grazing and - risk and damage estimation of drought assignation of expansion of buffer - identification of fields of the vernal crop zones (maize, sugar beet, etc.) - the expansion of stubble burning (table - Soil status : There are many rule points in NAKP, where these Running, S.W., Nemani, R. R., Peterson, D.L., 1989. remotely sensed images can be applicable for Mapping regional forest evapotranspiration and photosyntesis identification and control of the time and spatial frame by coupling satellite data with ecosystem simulation. Ecology of natural phenomena. 70, pp. 1090-1101. For example: Checking of growing areas of the plants appropriate to the cropping plans (5-10 years), Running, S. W., Loveland, T. R., Pierce, L. L., Nemani, R. distinguishing the small spots of plant associations from R., Hunt Jr., E. R., 1995. A remote sensing classification the cultivated lands, etc. logic for global land cover analysis. Remote Sensing of - A High resoluted and multispectral data can give spatial Environment, 51, pp. 39-48. information for detecting the land cover and controlling the cropping. RS data taken by airborn digital Turner, D.P., Cohen, W.B., Kennedy, R.E., Fassnacht, K.S., multispectral camera can be used for updating the Briggs, J.M., 1999. Relationships between Leaf Area Index contents of GIS and Landsat TM Spectral Vegetation Indices across three temperate zone sites: Remote Sensing of Environment, 70, pp. 52-68. d use. REFERENCES cation Zilinyi V., 1995. Természetes felszínek spektrális reflexiós o the tulajdonságai, es hasznosításuk az optikai távérzékelés ivated Angyan, J., Fésüs, L., Podmaniczky L., Tar F., Vajnáné, M., interpretaciojában. Egyetemi Doktori Ertekezes, DATE, A., 1999. Nemzeti Agrár-kórnyeztvédelmi Program. FVM MTK, Debrecen, pp. 24-43. agrár-kórnyeztgazdálkodási tanulmánykótetek. Budapest cain Carpenter, G. A., Gopal, S., Macomber, S., Woodcock, C. E., F the Franklin, J., 1999. A neutral network method for eficcent ng of vegetation mapping. Remote Sensing of Environment, 70. pp. reases 326-338. small DeFries, R. S., Townshend, J. R. G., 1994. NDVI-derived d well land cover classification at global scales. International large Journal of Remote Sensing, 15, pp. 3567-3586. 3 Friedl, M., Brodley, C., 1997. Decesion tree classification of ar are land cover from remotely sensed data. Remote Sensing of id the Environment, 61, pp. 399-409 ion of ap can Floyd F. Sabins, 1996. Remote Sensing. Principles and Interpretation. W. H. Freeman and Co. Los Angeles L. L. F. Janseen, M. N: Jaarsma, E.T.M. van der Linden, 1990. Integrating Topographic data with Remote Sensing for Land-Cover Classification. Photogrammetric Engineering & Remote Sensing, Vol. 56, No. 11, pp. 1503-1506. Martonchik, J. V., 1994. Retriaval of surface directional reflectance properties using ground level multiangle measurements. Remote Sensing of Environment, 50, pp. 303- 316. 89

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