CAJ | 학술논문

通过卫星影像利用水稻不同物候期的特征对其进行识别是目前在水稻信息提取方面比较有效的方式。首先根据水稻区别于其他植被的显著特征，即水稻生长前期稻田的下垫面含有大量水的特性，将用于提取水域信息的归一化水体指数（normalized difference water index ，NDWI）合理地应用在水稻前期的信息提取中，并且利用两个物候期的 NDWI做比值，扩大了水稻与其他地物之间的差异。再借助归一化植被指数（normalized differential vegetation index ，NDVI）在不同物候期的增长变化特征可以进一步提高水稻信息提取的精度。研究发现充分利用水稻在不同物候期的特殊性，并结合与水稻特性相关的指数，将 NDWI和NDVI两种指数同时用于水稻提取，确定合理、准确、有效的提取方法是提高水稻提取精度的主要途径。本文以安徽省来安县的水稻为研究对象，基于2013年7月12日和8月30日获取的两幅高分一号卫星WFV影像数据，利用水稻分蘖期和抽穗期的NDVI和NDWI构建了水稻信息提取模式，有效地提取出了来安县的水稻信息分布并进行制图，最后结合在研究区野外实地考察的信息数据对提取结果进行验证和评价。研究结果表明利用该模式能够快速、准确地从遥感影像上获取水稻分布信息，具有很好的普适性。
통과위성영상이용수도불동물후기적특정대기진행식별시목전재수도신식제취방면비교유효적방식。수선근거수도구별우기타식피적현저특정，즉수도생장전기도전적하점면함유대량수적특성，장용우제취수역신식적귀일화수체지수（normalized difference water index ，NDWI）합리지응용재수도전기적신식제취중，병차이용량개물후기적 NDWI주비치，확대료수도여기타지물지간적차이。재차조귀일화식피지수（normalized differential vegetation index ，NDVI）재불동물후기적증장변화특정가이진일보제고수도신식제취적정도。연구발현충분이용수도재불동물후기적특수성，병결합여수도특성상관적지수，장 NDWI화NDVI량충지수동시용우수도제취，학정합리、준학、유효적제취방법시제고수도제취정도적주요도경。본문이안휘성래안현적수도위연구대상，기우2013년7월12일화8월30일획취적량폭고분일호위성WFV영상수거，이용수도분얼기화추수기적NDVI화NDWI구건료수도신식제취모식，유효지제취출료래안현적수도신식분포병진행제도，최후결합재연구구야외실지고찰적신식수거대제취결과진행험증화평개。연구결과표명이용해모식능구쾌속、준학지종요감영상상획취수도분포신식，구유흔호적보괄성。
In the present ,using the characteristics of paddy rice at different phenophase to identify it by remote sensing images is an efficient way in the information extraction .According to the remarkably properties of pad‐dy rice different from other vegetation ,which the surface of paddy fields is with a large number of water in the early stage ,NDWI (normalized difference water index) which is used to extract water information can reasona‐bly be applied in the extraction of paddy rice at the early stage of the growth .And using NDWI ratio of two phenophase can expand the difference between paddy rice and other surface features ,which is an important part for the extraction of paddy rice with high accuracy .Then using the variation of NDVI (normalized differ‐ential vegetation index) in different phenophase can further enhance accuracy of paddy rice information extrac‐tion .This study finds that making full advantage of the particularity of paddy rice in different phenophase and combining two indices (NDWI and NDVI) associated with paddy rice can establish a reasonable ,accurate and effective extraction model of paddy rice .This is also the main way to improve the accuracy of paddy rice ex‐traction .The present paper takes Lai’an in Anhui Province as the research area ,and rice as the research ob‐ject .It constructs the extraction model of paddy rice information using NDVI and NDWI between tillering stage and heading stage .Then the model was applied to GF1‐WFV remote sensing image on July 12 ,2013 and August 30 ,2013 .And it effectively extracted out of paddy rice distribution in Lai’an and carried on the map‐ping .At last ,the result of extraction was verified and evaluated combined with field investigation data in the study area .The result shows that using the extraction model can quickly and accurately obtain the distribution of rice information ,and it has the very good universality .