Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

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

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

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Title:: [WA-2 AGRICULTURE]

Document type:: Multivolume work

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Chapter

Title:: EXPLANATION AND USE OF EQUATIONS THAT CAN AID GLOBAL MONITORING .OF VEGETATION RESOURCES. C. L. WIEGAND and M. SHIBAYAMA

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Structure type:: Chapter

169 EXPLANATION AND USE OF EQUATIONS THAT CAN AID GLOBAL MONITORING .OF VEGETATION RESOURCES C. L. WIEGAND and M. SHIBAYAMA USDA-ARS, Remote Sensing Research Unit, 2413 E. Highway 83, Weslaco, TX, USA 78596-8344 Pho: 512/968-5533 FAX: 512/565-6133 National Institute of Agro-Environmental Sciences, Remote Sensing Laboratory, Tsukuba, Ibaraki 305, Japan Pho:0298-38-8159 Fax:0298-38-8199 ABSTRACT Plants integrate seasonal growing conditions and express their responses through the size and duration of the canopies. Vegetation indices (VI) that can be calculated from handheld or boom-mounted ground, aircraft, or polar orbiting satellite spectral observations in the near-infrared and visible red portions of the spectrum are a good measure of the photosynthetic size of plant canopies. In this paper equations, that are collectively called spectral components analysis (SCA), are presented, explained, and discussed in terms of their use for monitoring vegetation conditions and production anywhere in the world. They are appropriate for guiding the interpretation of responses of specific indicator fields in LANDSAT TM and SPOT HRV data and for synoptic assessments using coarser resolution NOAA-AVHRR data. The approach is consistent with agronomic and physiological principles, and bridges between inferences based on spectral observations alone and traditional plant growth/yield models. We conclude that the approach offers the possibility of not only unifying interpretations but also strengthening their scientific basis. Key Words: Vegetation indices, Growth, Yield, Spectral components analysis, Environment, Drought, Stress responses INTRODUCTION Plants integrate the soil and aerial environments they are exposed to during the growing season and express their responses to those growing conditions through the size and persistence of their canopies (Wiegand and Richardson, 1984). The canopies of range, forest and row crop plant communities are now periodically observed over the whole globe by sensors aboard the polar orbiting earth resources and weather satellites. Therefore, those observations must contain information on plant vigor and productivity. The calculation of spectral vegetation indices, such as the greenness (GVI), perpendicular (PVI), normalized difference (NDVI) and transformed soil adjusted (TSAVI) vegetation indices from reflectance factor or radiance observations in visible (400-740 nm) and near-infrared (750-1350 nm) wavebands (Rouse, et al., 1973; Kauth and Thomas, 1976; Richardson and Wiegand, 1977; Jackson, 1983; Baret et al., 1989), is now routine, and they are becoming recognized as measures of the photosynthetic size of the canopies (Wiegand et al. 1989; Wiegand and Richardson, 1990a). However, a unified theory for interpreting vegetation indices, called spectral components analysis, SCA (Wiegand and Richardson 1984, 1987, 1990a; Wiegand et al. 1986, 1989) has only recently been developed. It provides a framework for interrelating a large number of variables including vegetation indices, VI; green leaf area index, L; photosynthetically active radiation absorbed, APAR (MJ/m 2 /day); yield (Y, g/m 2 ) of the salable plant part; total aboveground dry phytomass (DM, g/m 2 ), and évapotranspiration (ET, mm/day) or their daily cumulations that describe plant canopy and yield responses to environments and stresses. Photosynthetically active radiation absorbed by the canopy is defined by APAR = (IoMFPAR) [0] where Io is daily incident PAR (MJ/m 2 /day) and FPAR is the decimal fraction of it the canopies absorb. The purposes of this paper are to present, illustrate, and explain the SCA equations and to discuss their use for monitoring vegetation conditions and estimating production anywhere in the world. EQUATIONS AND ILLUSTRATIONS Fractional Light Absorption

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