文献一覧: 一般社団法人日本リモートセンシング学会 (出版者)

1 0 0 0 衛星観測データによる大規模生産野菜収穫予測情報の提供に関する検討

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

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.

2018-07-03 13:30:29
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1 0 0 0 OA ドローンリモートセンシングによる作物·農地診断情報計測とそのスマート農業への応用

著者: 井上吉雄横山正樹
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 (ISSN:02897911)
巻号頁・発行日: vol.37, no.3, pp.224-235, 2017-07-21 (Released:2018-01-31)
参考文献数: 39

Drone-based remote sensing has a great potential for spatial diagnostics of crops and soils in the information-based agricultural management (Smart Agriculture). This paper reviews the background and advanced applications of drone-based remote sensing to smart agriculture. The necessary performance of optical and thermal sensing systems, data processing techniques, and algorithms for assessment of crop and soil variables are discussed based on case studies. Drone-based remote sensing would be useful for timely and efficient monitoring of crops, soils, weeds, diseases, etc., mainly in farms on the scale of ∼100 ha. Sophisticated systems and workflow have to be established to provide not only useful on-demand information but also sufficient cost-benefits.