Applying broadband spectra to assess biological control of saltcedar in west Texas     

Reginald S. Fletcher 《国际地球制图》2013,28(4):383-399

Broadband field spectra were assessed to discriminate invasive saltcedar (Tamarix spp.) trees exhibiting feeding damage caused by the saltcedar leaf beetle (Diorhadba spp.) from other land cover types. Data were collected at two study sites near Presidio, Texas in 2010 and 2011. Spectral bands evaluated were coastal blue (400–450?nm), blue (450–510?nm), green (510–580?nm), yellow (585–625?nm), red (630–690?nm), red-edge (705–745?nm), and near-infrared (770–895, 860–1040?nm). Data were evaluated with analysis of variance and Scheffe’s multiple comparison test (α?=?0.05). The red band generally separated severely damaged saltcedar trees from other land cover features. Near-infrared bands separated defoliated saltcedar trees. Broadband spectra has potential for distinguishing saltcedar trees exhibiting feeding damage caused by the saltcedar leaf beetle from other associated features, thus supporting future explorations of airborne and satellite-borne multispectral systems to monitor biological control of saltcedar within complex landscapes.  相似文献   

Employing airborne multispectral digital imagery to map Brazilian pepper infestation in South Texas     

Reginald Fletcher  James Herbert Everitt  Chenghai Yang 《国际地球制图》2013,28(7):527-536

A study was conducted in south Texas to determine the feasibility of using airborne multispectral digital imagery for differentiating the invasive plant Brazilian pepper (Schinus terebinthifolius) from other cover types. Imagery obtained in the visible, near-infrared, and mid-infrared regions of the light spectrum and a supervised classification approach were employed to develop thematic maps of two areas infested with Brazilian pepper. Map accuracies ranged from 84.2 to 100% for the Brazilian pepper class. Findings support using airborne multispectral digital imagery as a tool for separating Brazilian pepper from associated land cover types and further encourage exploration of airborne multispectral digital imagery and image processing techniques for developing maps of Brazilian pepper infestation in Texas and abroad.  相似文献   

Testing the capability of spectral resolution of the new multispectral sensors on detecting the severity of grey leaf spot disease in maize crop     

Inos Dhau  Elhadi Adam  Onisimo Mutanga  Kwabena Ayisi  Elfatih Mohamed Abdel-Rahman  John Odindi 《国际地球制图》2013,28(11):1223-1236

Abstract

In this study, we tested whether GLS field symptoms on maize can be detected using hyperspectral data re-sampled to WorldView-2, Quickbird, RapidEye and Sentinel-2 resolutions. To achieve this objective, Random Forest algorithm was used to classify the 2013 re-sampled spectra to represent the three identified disease severity categories. Results showed that Sentinel-2, with 13 spectral bands, achieved the highest overall accuracy and kappa value of 84% and 0.76, respectively, while the WorldView-2, with eight spectral bands, yielded the second highest overall accuracy and kappa value of 82% and 0.73, respectively. Results also showed that the 705 and 710 nm red edge bands were the most valuable in detecting the GLS for Sentinel-2 and RapidEye, respectively. On the re-sampled WorldView 2 and Quickbird sensor resolutions, the respective 608 and 660 nm in the yellow and red bands were identified as the most valuable for discriminating all categories of infection.  相似文献   

Calculation of photosynthetically available radiation using multispectral data in the Arctic   总被引：1，自引：0，他引：1  

赵进平  王维波  Cooper Lee 《极地研究(英文版)》2010,21(2):113-126

Photosynthetically Available Radiation(PAR) is an important bio-optical parameter related to marine primary production.PAR is usually measured by a broadband sensor and can also be calculated by multispectral data.When the PAR is calculated by multispectral data in polar region,four factors are possible error sources.PAR could be overestimated as the wavelengths of multispectral instrument are usually chosen to evade main absorption zones of atmosphere. However,both PARs calculated by hyperspectral and m...  相似文献   

Quantification of the Total Suspended Matter Concentration around the Sea Breaking Zone from In Situ Measurements and Terra/Aster Data     

Ana Cláudia Teodoro  Fernando Veloso-Gomes 《Marine Georesources & Geotechnology》2013,31(2):67-80

Remote sensing techniques can be used to quantify the total suspended matter concentration (TSM). The main objective of this study is the quantification of the TSM concentration around the sea breaking zone for a particular area of the Portuguese coast, near Aveiro city. The methodology used was based on in situ measurements and on multispectral satellite image from TERRA/ASTER. In situ experimental techniques were used to determine a relationship between the TSM concentration and the seawater reflectance. Empirical relationships were established between TSM concentration and the equivalent reflectance values for TERRA/ASTER at visible and near infrared bands computed from the experimental data. The reflectance values had a very high correlation with the TSM concentration in the wavelength between 500 and 900 nm. The ASTER image was calibrated, atmospherically and geometric corrected. Equations of linear, polynomial, logarithmic, power and exponential models were applied. The best results were found with the linear and polynomial models, with a determination factor higher than 0.95. However, the differences in the TSM concentration calculated for the three bands indicate that we should not use the information of a single band to obtain the TSM concentration.  相似文献   

基于mRMR特征优选算法的多光谱遥感影像分类效率精度分析     

程希萌  沈占锋  邢廷炎  夏列钢  吴田军 《地球信息科学学报》2016,18(6):815-823

在遥感图像分类过程中,进行合理的特征优选操作,将有助于提高分类器的分类效率及精度。本文以淮南地区资源三号卫星多光谱遥感影像数据为例,采用二值离散化、直方图法及F统计法3种计算方法实现mRMR（minimal-Redundancy-Maximal-Relevance）算法特征优选过程。根据3种方法所得到的特征优选结果及全部特征信息,分别采用C5.0决策树和K近邻2种分类器进行图像分类实验,并利用目视解译方法对不同方法组合的影像分类结果进行精度验证。实验结果表明,利用3种计算方法实现mRMR特征优选算法对不同分类器的影响程度不同：在分类效率方面,C5.0决策树分类器可提高36.84%,而K近邻分类器可提高72.05%;在分类精度方面,C5.0决策树分类器能保证分类精度大致不变,总体分类精度可提高0.60%,Kappa系数可提高0.80%,而K近邻分类器总体分类精度可提高4.34%,Kappa系数可提高7.90%。  相似文献   

Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models     

Gema Casal  Paul Harris  Xavier Monteys  John Hedley  Conor Cahalane  Tim McCarthy 《地理信息系统科学与遥感》2020,57(3):271-286

ABSTRACT

Optical satellite data is an efficient and complementary method to hydrographic surveys for deriving bathymetry in shallow coastal waters. Empirical approaches (in particular, the models of Stumpf and Lyzenga) provide a practical methodology to derive bathymetric information from remote sensing. Recent studies, however, have focused on enhancing the performance of such empirical approaches by extending them via spatial information. In this study, the relationship between multibeam depth and Sentinel-2 image bands was analyzed in an optically complex environment using the spatial predictor of kriging with an external drift (KED), where its external drift component was estimated: a) by a ratio of log-transformed bands based on Stumpf’s model (KED_S) and b) by a log-linear transform based on Lyzenga’s model (KED_L). Through the calibration of KED models, the study objectives were: 1) to better understand the empirical relationship between Sentinel-2 multispectral satellite reflectance and depth, 2) to test the robustness of KED to derive bathymetry in a multitemporal series of Sentinel-2 images and multibeam data, and 3) to compare the performance of KED against the existing non-spatial models described by Stumpf et al. and Lyzenga. Results showed that KED could improve prediction accuracy with a decrease in RMSE of 89% and 88%, and an increase in R² of 27% and 14%, over the Stumpf and Lyzenga models, respectively. The decrease in RMSE provides a worthwhile improvement in accuracy, where results showed effective prediction of depth up to 6 m. However, the presence of higher concentrations of suspended materials, especially river plumes, can reduce this threshold to 4 m. As would be expected, prediction accuracy could be improved through the removal of outliers, which were mainly located in the channel of the river, areas influenced by the river plume, abrupt topography, but also very shallow areas close to the shoreline. These areas have been identified as conflictive zones where satellite-derived bathymetry can be compromised.  相似文献   

基于误差补偿预测树的多光谱遥感图像无损压缩方法   总被引：6，自引：0，他引：6  

吴铮  何明一  冯燕  贾应彪 《遥感学报》2005,9(2):143-147

预测树方法是一种有效的无损多光谱图像压缩技术,将自适应线性预测方法与传统预测树方法相结合,提出了一种多光谱遥感图像的误差补偿预测树压缩方法。该方法利用多光谱图像谱间的局部统计冗余和结构冗余建立自适应预测器,对传统预测树方法产生的误差进行补偿,从而进一步减少了多光谱图像的数据量;并且利用多光谱图像的局部平稳特性对算法进行了简化。实验结果表明,该方法得到的压缩比与原始预测树方法相比有明显提高,同时算法简化后可以使计算复杂度大幅度降低。  相似文献   

裸露区综合航空遥感资料的地质判释          下载免费PDF全文

杨柏林 《地质科学》1988,(2):188-195

本文依据西北某地一次综合性航空遥感试验取得的多光谱图象、热红外扫描图象和微波辐射等遥感资料,结合室内对岩矿测量的反射率、复合介电系数、等效温度等资料,用目视判释法对该区地质问题进行了研究。提出了热红外遥感资料和微波遥感资料对寻找铁和水资源前途,同时对断裂构造的判释也很有意义。  相似文献   

Water volume change in the lower Mekong from satellite altimetry and imagery data     

F. Frappart  K. Do Minh  J. L'Hermitte  A. Cazenave  G. Ramillien  T. Le Toan  N. Mognard-Campbell 《Geophysical Journal International》2006,167(2):570-584

  相似文献