Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China   总被引：3，自引：0，他引：3  

Jianqiang Ren  Zhongxin Chen  Qingbo Zhou  Huajun Tang   《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):403

The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha⁻¹ lower than the RMSE (233.35 kg ha⁻¹) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.  相似文献   

The use of MODIS data to derive acreage estimations for larger fields: A case study in the south-western Rostov region of Russia     

S. Fritz  M. Massart  I. Savin  J. Gallego  F. Rembold   《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):453

Recent developments in remote sensing technology, in particular improved spatial and temporal resolution, open new possibilities for estimating crop acreage over larger areas. Remotely sensed data allow in some cases the estimation of crop acreage statistics independently of sub-national survey statistics, which are sometimes biased and incomplete. This work focuses on the use of MODIS data acquired in 2001/2002 over the Rostov Oblast in Russia, by the Azov Sea. The region is characterised by large agricultural fields of around 75 ha on average. This paper presents a methodology to estimate crop acreage using the MODIS 16-day composite NDVI product. Particular emphasis is placed on a good quality crop mask and a good quality validation dataset. In order to have a second dataset which can be used for cross-checking the MODIS classification a Landsat ETM time series for four different dates in the season of 2002 was acquired and classified. We attempted to distinguish five different crop types and achieved satisfactory and good results for winter crops. Three hundred and sixty fields were identified to be suitable for the training and validation of the MODIS classification using a maximum likelihood classification. A novel method based on a pure pixel field sampling is introduced. This novel method is compared with the traditional hard classification of mixed pixels and was found to be superior.  相似文献   

改进的边缘角度直方图在遥感图像检索中的应用   总被引：1，自引：0，他引：1  

王仁礼  郝玉保  顾立娟 《测绘科学》2008,33(6):70-72

针对基于形状的遥感图像检索中区域分割困难这个问题,本文提出利用边缘角度直方图作为形状特征对遥感图像进行检索;针对遥感影像分辨率和颜色反差对检索性能的影响,本文提出采用多尺度分析的思想,提取图像在多个尺度上的边缘角度直方图特征进行检索。通过单一尺度边缘角度直方图特征和多尺度边缘角度直方图特征检索的对比实验,揭示了本文所提出的改进方案使遥感图像的检索精度提高了约31个百分点。  相似文献   

基于权重与混合模型的遥感图像分类方法研究     

何海清  李发斌  李何超  王勇 《国土资源遥感》2008,(2):18-21

提出了一种基于权重与混合像元模型的遥感图像分类方法。该方法在现有光谱混合模型的基础上,根据实际应用需要确定地类权重,通过地类丰度与权重因子加权平均确定像元的隶属类型,从而实现遥感图像分类。以SPOT-5土地覆盖遥感分类为例,对权重与混合像元模型结合的图像分类方法进行了验证,结果表明,该方法提高了遥感图像分类精度,在一定条件下更具实际意义。  相似文献   

多源遥感数据综合解译鄂尔多斯盆地杭锦旗地区地质构造   总被引：1，自引：0，他引：1  

颜蕊  张景发  姜文亮  焦孟梅 《国土资源遥感》2008,(2):88-92

利用多源遥感数据假彩色合成、融合及纹理分析等增强处理方法提取研究区构造信息,进而对研究区进行综合解译;通过分析水系、色调、纹理、地貌及岩性等特征,判断出杭锦旗地区存在一小一大、内外相套的2个环形构造,发育的北西向、北东向2组共轭断层和一组北北西向断层,与环形构造相互构架,构成研究区特殊的构造体系。经分析预测,这些构造是受周边南北向构造应力共同挤压而形成。  相似文献   

西藏冈底斯地区水系格局与新构造活动关系的遥感研究     

施美凤  李亚林  于学政 《国土资源遥感》2008,19(3):69-73

运用RS和GIS技术,以青藏高原冈底斯地区遥感影像图的制作和水系格局详细解译为基础,结合冈底斯地区线性构造解译,分析了冈底斯地区水系的展布特征和活动构造对水系的控制作用,认为冈底斯地块在新近纪以来随青藏高原整体隆升的同时,区内断隆带和断陷带的隆升速率和强度又有显著差异; 伴随强烈的隆升过程,在地体内发育大量不同性质的近NS向断裂构造,冈底斯地区水系的分布和形态明显受该区新构造运动的控制。  相似文献   

基于高分辨率遥感数据的城市居住单元交通环境质量评价——以厦门市为例     

陈志浩 《国土资源遥感》2008,19(4):53-57

居住单元是与人们生活密切相关的社区范围,其交通环境的优劣是衡量居住单元环境好坏的重要标准之一。高分辨遥感影像 的高空间分辨率特点为我们提供了研究居住单元交通环境的可能性。本文从区域交通环境、路网可达性出发,对城市居住单元交通 环境质量的遥感评价方法进行了研究,根据高分辨率遥感影像的特点构建了居住单元交通环境的多级指标评价体系,并对厦门市的 50个居住单元进行了评价分析。实验表明,利用高分辨率影像进行城市交通环境质量评价是一种成本较低,简便可行的方法。  相似文献   

"5.12"汶川大地震震中区映秀镇地震灾情及次生地质灾害遥感初步调查   总被引：4，自引：0，他引：4  

王治华  周英杰  徐斌  贾斌 《国土资源遥感》2008,(2):1-6

"5.12"四川汶川8级大地震发生后,中国国土资源航空物探遥感中心立即采用"赛斯纳"高空遥感飞机,携带高清晰彩色数码相机及先进的POS系统,迅速获取了重灾区的航摄图像数据。本文以震中附近的映秀镇地区为例,简要介绍了以该高质量航摄数据为基础,采用数字滑坡技术,快速进行震后重灾区灾情及次生地质灾害遥感调查的成果。  相似文献   

改进相似性测度的高光谱影像FCM聚类分析     

刘伟  冯伍法  任利华 《测绘工程》2008,17(5):29-32

高光谱遥感将反映目标辐射属性的光谱信息与反映目标空间几何关系的图像信息有机地结合在一起,能够实现地面目标的精细分类识别。FCM是一种有效的聚类算法,但存在相似性测度模型单一、分类精度的提高受到限制等问题。文中结合高光谱影像的技术特点,综合考虑光谱曲线的形状、地物辐射亮度及其权重,提出可以更好描述光谱向量之间的相似性的距离测度,并将其引入到FCM聚类模型中。聚类分析试验结果表明：通过改进和优化相似性测度的FCM,可以显著提高高光谱影像聚类精度。  相似文献   

青海省柴达木盆地西北缘盐类矿产遥感预测研究     

张彤蕴  朱谷昌  杨自安  石菲菲  张建国 《矿产与地质》2008,22(6):551-555

利用ETM多光谱遥感图像,在对盐湖区的遥感影像特征和主要地物光谱特征分析的基础上,通过波段组合变换,压抑粘土及砂砾层等地物的影响,将盐类矿产信息增强提取出来。对比前人的钾盐矿田勘查成果,所提取的盐类信息异常与现代新盐带、湿盐滩和现正在开采的钾盐矿区十分吻合。结合区域地质背景与成矿条件的分析研究,圈定了4个预测区、9处有利地段,为进一步盐类矿产勘查提供了科学依据和目标地。  相似文献