著者

大澤 一雅 國井 大輔 斎藤 元也

出版者

システム農学会

雑誌

システム農学 (ISSN:09137548)

巻号頁・発行日

vol.26, no.2, pp.67-77, 2010-04-10 (Released:2015-06-04)

参考文献数

8

被引用文献数

3

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宮城県北西部の大崎地域を対象とし、多時期のTerra/ASTER衛星画像を利用して農地の作付け分類を試みた。正規化植生指数(NDVI)の分析により、耕作地では作物によってNDVIが特有の時系列パターンを示し、遊休農地では管理法や遊休後の経過年数などによってNDVIがさまざまな値を示すことを明らかにした。この分析結果を踏まえ、主にNDVIに基づいて判別が容易な水域・森林・都市域を先に判別分類し、次に分類されなかった農地等の部分を判別が容易な分類項目から順次、水稲・大豆・麦類・草地・ゴルフコース・遊休農地に分類し、作付けマップを作成した。遊休農地と山間地森林の草地や河川周辺の荒地等を区分するために、50mDEMおよび25000分の1地形図を用いた解析を加えた。作付けマップから求めた各分類項目の推定面積を農林業センサスにおける統計面積と比較した結果、水稲と大豆畑では良く一致していたが、麦類や草地、遊休農地では乖離が認められた。

著者

雷 莉萍 斎藤 元也 安田 嘉純 范 海生 高須 理

出版者

一般社団法人 日本リモートセンシング学会

雑誌

日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan (ISSN:02897911)

巻号頁・発行日

vol.27, no.2, pp.129-140, 2007-04-10

参考文献数

10

被引用文献数

1

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In order to grasp the balance between supply and demands of vegetables such as cabbage, lettuce and Chinese cabbage which are produced on a large scale, forecast of their harvest time and area is a problem to be awaiting solution in Japan. This study proposed an approach of forecasting the harvest time and area of cabbage by using SPOT images in Tsumagoi country and discussed practical application to provide forecasting information. Firstly, cabbages field-based were extracted by the proposed post-classification method using the field polygon data. The field polygon data is a section of cultivated field which was interpreted from the digital aerial photography. Next, the pixel-based cabbages harvest time was estimated for extracted cabbage fields from the profiles of normalized difference vegetation index (NDVI) corresponding to cabbage growing and relationship between NDVI and harvest date. Results of extracted cabbage field and estimated harvesting period respectively derived from SPOT5 images of May 5 and July 28, 2005, were verified by ground investigation. According to the profile of NDVI, cabbage pixels with multiple growing stages in the image can be divided into two groups of leaves number increase term and leaves weight increase term. Results for the cabbages during the early stage in term of leaves number increase, presented a low accuracy because their spectral reflectance in SPOT is similar to bareland. Results for the cabbages in term of leaves weight increase showed strong coincidence with ground investigation. Furthermore, it was found that results of forecasted harvest area respectively from multi-years SPOT image can give a trend analysis of cabbage possible supplying field comparing with the historical information of the past harvested field and shipped amount to market. As a result, this study suggested an operational application of satellite remote sensing in forecast of vegetable harvest time and area, aimed to provide the services for the coordination between supply and market demand of vegetables. Moreover the past information contained in ancillary data such as remote sensing data, shipped field data and so on should be incorporated into the forecasting process.