Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China

Journal of Plant Ecology

Volumn 8, Issue 4, 2013, Pages 429-435

  Zhang, Feng ^a   Zhou, Guangsheng ^a,b   Nilsson, Christer ^c  

^a INSTITUTE OF BOTANY   (China)

^b STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^c UMEÅ UNIVERSITY   (Sweden)

Author keywords

fraction of absorbed photosynthetically active radiation; hyperspectral remote sensing; maize canopy; spectral vegetation indices

Indexed keywords

ZEA MAYS;

EID: 84939511724     PISSN: 17529921     EISSN: 1752993X     Source Type: Journal    
DOI: 10.1093/jpe/rtu027     Document Type: Article

References (40)

1. Boochs F, Kupfer G, Dockter K, et al. (1990) Shape of the red edge as vitality indicator for plants. Int J Remote Sens 11:1741-53.
2. Chen J, Shen M, Zhu X, et al. (2009) Indicator of flower status derived from in situ hyperspectral measurement in an alpine meadow on the Tibetan Plateau. Ecol Indic 9:818-23.
3. Clevers JGPW, Kooistra L, Salas EAL (2004) Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data. Int J Remote Sens 25:1-13.
4. Clevers JGPW, Gitelson AA (2013) Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3. Int J Appl Earth Obs 23:344-51.
5. Curran PJ, Dungan JL, Gholz HL (1990) Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. Tree Physiol 7:33-48.
6. Dawson TP, Curran PJ (1998) A new technique for interpolating the reflectance red edge position. Int J Remote Sens 19:2133-9.
7. Fava F, Colombo R, Bocchi S, et al. (2009) Identification of hyperspectral vegetation indices for Mediterranean pasture characterization. Int J Appl Earth Obs 11:233-43.
8. Fensholt R, Sandholt I, Rasmussen MS (2004) Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sens Environ 91:490-507.
9. Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51:74-88.
10. Filella I, Peñuelas J (1994) The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric. Int J Remote Sens 15:1459-70.
11. Franklin J, Prince SD, Strahler AH, et al. (1991) Reflectance and transmission properties of west African savanna trees from ground radiometer measurements. Int J Remote Sens 12:1369-85.
12. Gitelson AA (2004) Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J Plant Physiol 161:165-73.
13. Gitelson AA, Merzlyak M (1994) Spectral reflectance changes associated with autumn senescence of Asculus hippocastanum and Acer platanoides leaves: spectral features and relation to chlorophyll estimation. J Plant Physiol 143:286-92.
14. Gitelson AA, Viña A, Arkebauer TJ, et al. (2003) Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophys Res Lett 30:1248.
15. Gitelson AA, Viña A, Verma SB, et al. (2006) Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J Geophys Res 111:D08S11.
16. Goward SM, Huemmerich KE (1992) Vegetation canopy PAR absorptance and the normalized difference vegetation index: an assessment using SAIL model. Remote Sens Environ 39:119-40.
17. Han G, Zhou G, Xu Z, et al. (2007) Biotic and abiotic factors controlling the spatial and temporal variation of soil respiration in an agricultural ecosystem. Soil Biol Biochem 39:418-25.
18. Hanan NP, Prince SD, Bégué A (1995) Estimation of absorbed photosynthetically active radiation and vegetation net production efficiency using satellite data. Agric Forest Meteorol 76:259-76.
19. Huete AR, Justice CO, Van Leeuwen WJD (1999) MODIS Vegetation Index (MOD 13). Version 3. Algorithm theoretical basis document. http://modis.gsfc.nasa.gov/data/atbd/land-atbd.html.
20. Hurcom SJ, Harrison AR (1998) The NDVI and spectral decomposition for semi-arid vegetation abundance estimation. Int J Remote Sens 19:3109-25.
21. Ide R, Nakaji T, Oguma H (2010) Assessment of canopy photosynthetic capacity and estimation of GPP by using spectral vegetation indices and the light-response function in a larch forest. Agric Forest Meteorol 150:389-98.
22. Jenkins JP, Richardson AD, Braswell BH, et al. (2007) Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements. Agric Forest Meteorol 143:64-79.
23. Li R, Zhou G, Wang Y (2010) Responses of soil respiration in non-growing seasons to environmental factors in a maize agroecosystem, Northeast China. Chinese Sci Bull 55:2723-30.
24. Los SO, Collatz GJ, Sellers PJ, et al. (2000) A global 9-yr biophysical land surface dataset from NOAA AVHRR data. J Hydrometeorol 1:183-99.
25. Mutanga O, Skidmore AK (2007) Red edge shift and biochemical content in grass canopies. ISPRS J Photogramm Remote Sens 62:34-42.
26. Myneni RB, Nemani RR, Running SW (1997) Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Trans Geosci Remote Sens 35:1380-93.
27. Nakaji T, Ide R, Takagi K, et al. (2008) Utility of spectral vegetation indices for estimation of light conversion efficiency in coniferous forests in Japan. Agric Forest Meteorol 148:776-87.
28. Peng Y, Gitelson AA (2011) Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. Agric Forest Meteorol 151:1267-76.
29. Potter CS, Randerson JT, Field CB, et al. (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Glob Biogeochem Cycles 7:811-41.
30. Rouse JW, Haas RH Jr, Schell JA, et al. (1973) Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. Progress Report RSC 1978-1. College Station: Remote Sensing Center, Texas A&M University.
31. Ruimy A, Saugier B, Dedieu G (1994) Methodology for the estimation of terrestrial net primary production from remotely sensed data. J Geophys Res 99:5263-83.
32. Ruimy A, Kergoat L, Bondeau A (1999) Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency. Glob Change Biol 5:56-64.
33. Running SW, Nemani R, Glassy JM, et al. (1999) MODIS Daily Photosynthesis (PSN) and Annual Net Primary Production (NPP) Product (MOD17). Algorithm Theoretical Basis Document Version 3.0.
34. Sellers PJ, Los SO, Tucker CJ, et al. (1996) A revised land surface parameterization (SiB2) for atmospheric GCMs: Part II. The generation of global fields of terrestrial biophysical parameters from satellite data. J Climate 9:706-37.
35. Sellers PJ, Dickinson RE, Randall DA, et al. (1997) Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science 275:502-9.
36. Viña A, Gitelson AA (2005) New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops. Geophys Res Lett 32:L17403.
37. Viña A, Gitelson AA, Rundquist DC, et al. (2004) Monitoring maize (Zea mays L.) phenology with remote sensing. Agron J 96:1139-47.
38. Wu C, Niu Z, Tang Q, et al. (2008) Estimating chlorophyll content from hyperspectral vegetation indices: modeling and validation. Agric Forest Meteorol 148:1230-41.
39. Wu C, Niu Z, Tang Q, et al. (2009) Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices. Agric Forest Meteorol 149:1015-21.
40. Zhang F, Zhou G, Wang Y (2008) Dynamics simulation of net primary productivity by a satellite data-driven CASA model in Inner Mongolian typical steppe, China. J Plant Ecol 32:786-97.