KaydedilenlerDerginizi ekleyin

Dergiler / International Journal of Environment and Geoinformatics / 2021 / Cilt: 8 - Sayı: 4

Determination of Spectral and Broadband Albedos in Visible-near Infrared Bands for Different Phenophases of Wheat Using Hemispherical Directional Reflectance Measurements

Manoj M. Lunagaria
Sayfa
460–466
Yayın Tarihi
2022-10-19
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The albedo values retrieved from HDRF in this investigation can be useful for phenophase specific applications in cropland fluxes algorithms, crop phenotyping, regional climate modeling and other remote sensing studies.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Albedo is an important parameter in radiation balance, energy balance, atmospheric correction of remote sensing data and weather forecasting models.
📊
Temel Bulgular & Veri:The HDRF measurements on wheat were acquired at 54 view angles (6 azimuthal planes × 9 view zenith angles) to cover the hemispheric span up to 60° view zenith at 7-8 days’ interval during early growth stages to physiological maturity.
💡
Sonuç & Katkı:The albedo values retrieved from HDRF in this investigation can be useful for phenophase specific applications in cropland fluxes algorithms, crop phenotyping, regional climate modeling and other remote sensing studies.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:albedo · HDRF · multiangle remote sensing

Abstract

Albedo is an important parameter in radiation balance, energy balance, atmospheric correction of remote sensing data and weather forecasting models. The values of albedo of agricultural area vary with changes in biophysical parameters at different phenophases of the crop. Spectral and broadband albedo of visible-infrared bands for wheat canopy was estimated with numerical and spectral integration of hemispherical directional reflectance factors (HDRFs). The HDRF measurements on wheat were acquired at 54 view angles (6 azimuthal planes × 9 view zenith angles) to cover the hemispheric span up to 60° view zenith at 7-8 days’ interval during early growth stages to physiological maturity. Canopy and atmospheric parameters were measured parallel to HDRFs of the crop. The spectral and broadband albedo of wheat varies in decreasing pattern with advancement of growth stages. Visible-infrared albedo of crop was maximum at early growth stages (tillering and booting; 0.23) and minimum at late growth stages (late milking and dough; 0.15). The albedo values retrieved from HDRF in this investigation can be useful for phenophase specific applications in cropland fluxes algorithms, crop phenotyping, regional climate modeling and other remote sensing studies.

🔖

Bu Makaleye Atıf Yap

Lunagaria, M. M. (2022). Determination of Spectral and Broadband Albedos in Visible-near Infrared Bands for Different Phenophases of Wheat Using Hemispherical Directional Reflectance Measurements. International Journal of Environment and Geoinformatics, Cilt: 8 - Sayı: 4, 460–466. https://ajindex.com/articles/540909

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (8)

  1. Blum, A.(2005). Drought resistance, water-use efficiency, and yield potential – are they compatible, dissonant, or mutually exclusive? Australian Journal of Agricultural Research, 56: 1159-1168.
  2. Carrer, D., Pique, G., Ferlicoq, M., Ceamanos, X. and Ceschia, E.(2018). What is the potential of cropland albedo management in the fight against global warming? A case study based on the use of cover crops, Environmental Research Letters, 13, 044030, DOI: 10.1088/1748-9326/aab650 Chopping, M. J.(2000). Testing a LiSK BRDF model with in situ bidirectional reflectance factor measurements over semiarid grasslands, Remote Sensing of Environment, 74, 287−312. Eck, T.F. and Deering, D.W.(1998). Estimation of total albedo from spectral hemispheric reflectance for steppe grassland, Remote Sensing Reviews, 17:1-4, 133-148.
  3. Febrero, A., Santiago Fernandez, S., Molina-Cano, J.L. and Araus, J.L.(1998). Yield, carbon isotope discrimination, canopy reflectance and cuticular conductance of barley isolines of differing glaucousness. Journal of Experimental Botany, 49 (326): 1575-1581.
  4. Grover, K. D., Steven, M. D. and Rondeaux, G.(2000). Estimating albedo from limited spectral and angular data. International Journal of Remote Sensing, 21(1):155-165.
  5. Hatfield, J.L. and Carlson, R.E.(1979). Light quality distributions and spectral albedo of three maize canopies. Agricultural Meteorology, 20 (3): 215-226.
  6. Iqbal, M.(1983). An introduction to solar radiation. Academic press, Toronto. Irons, J.R., Ranson, K. J. and Daughtry, C. S. T.(1988). Estimating Big Bluestem Albedo from Directional Reflectance Measurements. Remote Sensing of Environment, 25:185-199.
  7. Jacob, F., Olioso, A., Weiss, M., Baret, F. and Hautecoeur, O.(2002). Mapping short-wave albedo of agricultural surfaces using airborne PolDER data. Remote Sensing of Environment, 80: 36– 46. Jin, Y., Schaaf, C.B., Woodcock, C.E., Gao, F., Li, X., Strahler, A.H., Lucht, W., and Liang, S.(2003). Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation. J. Geophys. Res.,108, doi:10.1029/2002JD002804. Kimes, D.S., and Sellers, P.J.(1985). Inferring hemispherical reflectance of the earth’s surface for global energy budgets from remotely sensed nadir of directional radiance values. Remote Sensing of Environment, 18:205-223.
  8. Lucht, W., and Roujean, J.L.(2000). Considerations in the parametric modeling of BRDF and albedo from multiangular satellite sensor observations, Remote Sensing Re