New Method to Estimate Crop Production from Satellite Remote Sensing Data

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  • 衛星リモートセンシング・データを用いた穀物生産量推定のための新手法
  • エイセイ リモートセンシング データ オ モチイタ コクモツ セイサンリョウ スイテイ ノ タメ ノ シン シュホウ

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Abstract

Remote sensing technique is useful to estimate crop production in the global scale. Vegetation index has been used to estimate crop production from satellite image. However, vegetation index sometimes can not estimate crop production accurately because it does not distinguish growth stage of crops. We propose a new method which uses a spectral track of crop growth instead of vegetation index.Spectral track of crop growth forms loop line in the red versus near infrared feature space plot. The spectral track can distinguish the difference of the growth stage from single satellite remote sensing data. We applied the new method the following three region; central part of China, Hokkaido Japan and Northern part of United States. Japan had suffered weather disaster in 1993 and United States had suffered in 1992. Using the 1-km AVHRR global land 10 days composites, we examined our method to these three regions. The result shows that our method gives relatively good estimation for the crop yield in all regions while the vegetation index can not estimate accurately when it suffers weather disaster.

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