Mapping paddy rice yield in Zhejiang Province using MODIS spectral index

WU, Xiuju; CHENG, Qian

Mapping paddy rice yield in Zhejiang Province using MODIS spectral index

Qian CHENG, (Department of Environmental Resources Management and City Planning, Zhejiang Gongshang University, Hangzhou, 310035, China)

Xiuju WU (Department of Environmental Resources Management and City Planning, Zhejiang Gongshang University, Hangzhou, 310035, China)

Turkish Journal of Agriculture and Forestry

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Yıl: 2011 Cilt: 35 Sayı: 6 Sayfa Aralığı: 579 - 589 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Mapping paddy rice yield in Zhejiang Province using MODIS spectral index

Öz:

The first 19 bands of a moderate-resolution imaging spectrometer (MODIS), covering the visible to shortwave infrared spectral wavelength, were simulated by ground-level reflectance spectra. All spectral indices similar to the normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) formed by every 2 bands were calculated to obtain their determination coefficients, with theoretical and real yield. Results revealed that the combinative nearinfrared (NIR) index (band 2 and band 19, symbol b2 and b19, and other similar ones) and the (b16, b19) of MODIS were strongly correlated with rice yield, especially the correlative coeffi cient that exceeded signifi cant levels in the maturing stage. However, combinative visible light index was correlated with rice yield strongly in the early stage and poorly in the latter stage. The best spectral indices for predicting rice yield in whole rice growth were the combinations of (b2, b19) and (b16, b19). Based on the 2-band combination of the (b2, b19) of MODIS and the constructed estimating model, the rice yield of Zhejiang Province was estimated and its spatial distribution was mapped. Estimated results based on MODIS images were validated using 8 measured validation sites. Errors in the estimated rice yield ranged from 3.2% to 20.3%, with a mean value of 10.1%. The results indicated that the 2-band combination of the (b2, b19) MODIS index was most suitable for monitoring rice yield.

Anahtar Kelime: rice wavelengths yields Oryza sativa

Konular: Orman Mühendisliği

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

Bannari A, Morin D, Bonn F, Huete AR (1995) A review of vegetation indices. Remote Sensing Review 13: 95-120.
Bao SD (2005) Chemical and Agricultural Analysis of Soil. China Agriculture Press, Beijing, China.
Broge NH, Leblanc E (2000) Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment 76: 156-172.
Cheng Q (2006) Multisensor comparisons for validation of MODIS vegetation indices. Pedosphere 16: 362-370.
Cheng Q, Huang JF, Wang RC (2004) Assessment of rice fields by GIS/GPS-supported classification of MODIS data. Journal of Zhejiang University (SCIENCE) 5: 412-417.
Clevers JG (1988) The derivation of a simplified reflectance model for the estimation of leaf area index. Remote Sensing of Environment 25: 53-69.
Colwell JE (1973) Bidirectional Spectral Reflectance of Grass Canopies for Determination of Above Ground Standing Biomass. PhD Thesis. University of Michigan, Michigan, USA.
Dalezios NR, Domenikiotis C, Loukas A, Tzortzios ST, Kalaitzidis C (2001) Cotton yield estimation based on NOAA/AVHRR produced NDVI. Physics and Chemistry of the Earth (B) 26: 247-251.
Fassnacht KS, Gower ST, Mackenzie MD, Nordheim EV, Lillesand TM (1997) Estimating the leaf area index of north central Wisconsin forests using the Landsat Thematic Mapper. Remote Sensing of Environment 61: 229-245.
Graf B, Rakotobe O, Zahner P, Delucchi V, Gutierrez AP (1990) A simulation model for the dynamics of rice growth and development: Part I - the carbon balance. Agricultural Systems 32: 341-365.
Horie T, Yajima M, Nakagawa H (1992) Yield forecasting. Agricultural Systems 40: 211-236.
Jordan CF (1969) Derivation of leaf area index from quality of light on the forest floor. Ecology 50: 663-666.
Liu H, Huete AR (1995) A feedback based modifi cation of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing 33: 457-465.
Liu LY, Wang JH, Huang WJ (2004) Improving winter wheat yield prediction by novel spectral index. Transactions of the CSAE 20: 172-175 (in Chinese).
Lobell DB, Asner GP, Ortiz-Monasterio JI, Benning TL (2003) Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties. Agriculture, Ecosystems and Environment 94: 205-220.
Mirik M, Michels GJ, Kassymzhanova Mirik S, Elliott NC, Catana V (2006) Spectral sensing of aphid (Hemiptera: Aphididae) density using field spectrometry and radiometry. Turkish Journal of Agriculture and Forestry 30: 421-428.
Mirik M, Norland JE, Biondini ME, Crabtree RL, Michels GJ (2007) Relationships between remotely sensed data and biomass components in a big sagebrush (Artemisia tridentata) dominated area in Yellowstone National Park. Turkish Journal of Agriculture and Forestry 31: 135-145.
Myneni RB, Hall FG, Sellers PJ, Marshack AL (1995) The interpretation of spectral vegetation indices. IEEE Transactions on Geoscience and Remote Sensing 33: 481-486.
Price JC, Bausch WC (1995) Leaf area index estimation from visible and NIR-infrared reflectance data. Remote Sensing of Environment 52: 55-65.
Ren JQ, Chen ZX, Zhou QB, Tang HJ (2008) Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation 10: 403-413.
Rouse JW, Haas RH, Schell JA, Deering DW (1973) Monitoring vegetation systems in the Great Plains with ERTS. Proceeding of 3rd ERTS Symposium, pp. 48-62.
Running SW, Baldocchi DD, Turner DP, Gower ST, Bakwin PS, Hibbard KA (1999) A global terrestrial monitoring network integrating tower fl uxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment 70: 108-127.
Sönmez NK, Sarı M (2006) Use of remote sensing and geographic information system technologies for developing greenhouse databases. Turkish Journal of Agriculture and Forestry 30: 413- 420.
Tang YL, Huang JF, Wang RC (2004) Comparison of yield estimated models of rice by remote sensing. Transactions of the CSAE 20: 166-171 (in Chinese).
Thenkabail PS, Ward AD, Lyon JG (1995) Landsat-5 Thematic Mapper models of soybean and corn crop characteristics. International Journal of Remote Sensing 15: 49-61.
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8: 127-150.
Vazifedoust M, Van Dam JC, Bastiaanssen W, Feddes R (2009) Assimilation of satellite data into agrohydrological models to improve crop yield forecasts. International Journal of Remote Sensing 30: 2523-2545.
Wall L, Larocque D, Pierre-Majorique Léger (2008) The early explanatory power of NDVI in crop yield modeling. International Journal of Remote Sensing 29: 2211-2225.
Wiegant CL, Richardson AJ, Kanemasu K (1979) Leaf area index estimates for wheat from Landsat and their implications for evapotranspiration and crop modeling. Agronomy Journal 71: 336-342.
Wong MTF, Asseng S, Zhang H (2006) A flexible approach to managing variability in grain yield and nitrate leaching and withinfi eld to farm scales. Precision Agriculture 7: 405-417.
Yin X, Qi C (1994) Studies on the rice growth calendar model (RICAM) and its application. Acta Agronomica Sinica 20: 339- 346.
Zhao CJ, Wang JH, Huang WJ, Zhou QF (2009) Spectral indices sensitively discriminating wheat genotypes of diff erent canopy architectures. Precision Agriculture 11: 557-567.
Zhao DL, Raja Reddyb K, Gopal Kakani BV, Readc JJ, Koti S (2007) Canopy reflectance in cotton for growth assessment and lint yield prediction. Europe Journal of Agronomy 26: 335-344.

APA	CHENG Q, WU X (2011). Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. , 579 - 589.
Chicago	CHENG Qian,WU Xiuju Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. (2011): 579 - 589.
MLA	CHENG Qian,WU Xiuju Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. , 2011, ss.579 - 589.
AMA	CHENG Q,WU X Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. . 2011; 579 - 589.
Vancouver	CHENG Q,WU X Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. . 2011; 579 - 589.
IEEE	CHENG Q,WU X "Mapping paddy rice yield in Zhejiang Province using MODIS spectral index." , ss.579 - 589, 2011.
ISNAD	CHENG, Qian - WU, Xiuju. "Mapping paddy rice yield in Zhejiang Province using MODIS spectral index". (2011), 579-589.

APA	CHENG Q, WU X (2011). Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. Turkish Journal of Agriculture and Forestry, 35(6), 579 - 589.
Chicago	CHENG Qian,WU Xiuju Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. Turkish Journal of Agriculture and Forestry 35, no.6 (2011): 579 - 589.
MLA	CHENG Qian,WU Xiuju Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. Turkish Journal of Agriculture and Forestry, vol.35, no.6, 2011, ss.579 - 589.
AMA	CHENG Q,WU X Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. Turkish Journal of Agriculture and Forestry. 2011; 35(6): 579 - 589.
Vancouver	CHENG Q,WU X Mapping paddy rice yield in Zhejiang Province using MODIS spectral index. Turkish Journal of Agriculture and Forestry. 2011; 35(6): 579 - 589.
IEEE	CHENG Q,WU X "Mapping paddy rice yield in Zhejiang Province using MODIS spectral index." Turkish Journal of Agriculture and Forestry, 35, ss.579 - 589, 2011.
ISNAD	CHENG, Qian - WU, Xiuju. "Mapping paddy rice yield in Zhejiang Province using MODIS spectral index". Turkish Journal of Agriculture and Forestry 35/6 (2011), 579-589.