Forest classification and impact of BIOMASS resolution on forest area and aboveground biomass estimation     

《International Journal of Applied Earth Observation and Geoinformation》2017

The European Space Agency (ESA) is currently implementing the BIOMASS mission as 7th Earth Explorer satellite. BIOMASS will provide for the first time global forest aboveground biomass estimates based on P-band synthetic aperture radar (SAR) imagery. This paper addresses an often overlooked element of the data processing chain required to ensure reliable and accurate forest biomass estimates: accurate identification of forest areas ahead of the inversion of radar data into forest biomass estimates.The use of the P-band data from BIOMASS itself for the classification into forest and non-forest land cover types is assessed in this paper. For airborne data in tropical, hemi-boreal and boreal forests we demonstrate that classification accuracies from 90 up to 97% can be achieved using radar backscatter and phase information. However, spaceborne data will have a lower resolution and higher noise level compared to airborne data and a higher probability of mixed pixels containing multiple land cover types. Therefore, airborne data was reduced to 50 m, 100 m and 200 m resolution. The analysis revealed that about 50–60% of the area within the resolution level must be covered by forest to classify a pixel with higher probability as forest compared to non-forest. This results in forest omission and commission leading to similar forest area estimation over all resolutions. However, the forest omission resulted in a biased underestimated biomass, which was not equaled by the forest commission. The results underline the necessity of a highly accurate pre-classification of SAR data for an accurate unbiased aboveground biomass estimation.  相似文献   

Using pan-sharpened high resolution satellite data to improve impervious surfaces estimation     

《International Journal of Applied Earth Observation and Geoinformation》2017

Impervious surface is an important environmental and socio-economic indicator for numerous urban studies. While a large number of researches have been conducted to estimate the area and distribution of impervious surface from satellite data, the accuracy for impervious surface estimation (ISE) is insufficient due to high diversity of urban land cover types. This study evaluated the use of panchromatic (PAN) data in very high resolution satellite image for improving the accuracy of ISE by various pan-sharpening approaches, with a further comprehensive analysis of its scale effects. Three benchmark pan-sharpening approaches, Gram-Schmidt (GS), PANSHARP and principal component analysis (PCA) were applied to WorldView-2 in three spots of Hong Kong. The on-screen digitization were carried out based on Google Map and the results were viewed as referenced impervious surfaces. The referenced impervious surfaces and the ISE results were then re-scaled to various spatial resolutions to obtain the percentage of impervious surfaces. The correlation coefficient (CC) and root mean square error (RMSE) were adopted as the quantitative indicator to assess the accuracy. The accuracy differences between three research areas were further illustrated by the average local variance (ALV) which was used for landscape pattern analysis. The experimental results suggested that 1) three research regions have various landscape patterns; 2) ISE accuracy extracted from pan-sharpened data was better than ISE from original multispectral (MS) data; and 3) this improvement has a noticeable scale effects with various resolutions. The improvement was reduced slightly as the resolution became coarser.  相似文献   

Implications of sensor design for coral reef detection: Upscaling ground hyperspectral imagery in spatial and spectral scales     

《International Journal of Applied Earth Observation and Geoinformation》2017

Remote sensing offers a potential tool for large scale environmental surveying and monitoring. However, remote observations of coral reefs are difficult especially due to the spatial and spectral complexity of the target compared to sensor specifications as well as the environmental implications of the water medium above. The development of sensors is driven by technological advances and the desired products. Currently, spaceborne systems are technologically limited to a choice between high spectral resolution and high spatial resolution, but not both. The current study explores the dilemma of whether future sensor design for marine monitoring should prioritise on improving their spatial or spectral resolution. To address this question, a spatially and spectrally resampled ground-level hyperspectral image was used to test two classification elements: (1) how the tradeoff between spatial and spectral resolutions affects classification; and (2) how a noise reduction by majority filter might improve classification accuracy. The studied reef, in the Gulf of Aqaba (Eilat), Israel, is heterogeneous and complex so the local substrate patches are generally finer than currently available imagery. Therefore, the tested spatial resolution was broadly divided into four scale categories from five millimeters to one meter. Spectral resolution resampling aimed to mimic currently available and forthcoming spaceborne sensors such as (1) Environmental Mapping and Analysis Program (EnMAP) that is characterized by 25 bands of 6.5 nm width; (2) VENμS with 12 narrow bands; and (3) the WorldView series with broadband multispectral resolution. Results suggest that spatial resolution should generally be prioritized for coral reef classification because the finer spatial scale tested (pixel size < 0.1 m) may compensate for some low spectral resolution drawbacks. In this regard, it is shown that the post-classification majority filtering substantially improves the accuracy of all pixel sizes up to the point where the kernel size reaches the average unit size (pixel < 0.25 m). However, careful investigation as to the effect of band distribution and choice could improve the sensor suitability for the marine environment task. This in mind, while the focus in this study was on the technologically limited spaceborne design, aerial sensors may presently provide an opportunity to implement the suggested setup.  相似文献   

Quantitative assessment of mineral resources with an application to petroleum geology   总被引：2，自引：0，他引：2  

J. Harff  J. C. Davis  R. A. Olea 《Natural Resources Research》1992,1(1):74-84

The probability of occurrence of natural resources, such as petroleum deposits, can be assessed by a combination of multivariate statistical and geostatistical techniques. The area of study is partitioned into regions that are as homogeneous as possible internally while simultaneously as distinct as possible. Fisher's discriminant criterion is used to select geological variables that best distinguish productive from nonproductive localities, based on a sample of previously drilled exploratory wells. On the basis of these geological variables, each wildcat well is assigned to the production class (dry or producer in the two-class case) for which the Mahalanobis' distance from the observation to the class centroid is a minimum. Universal kriging is used to interpolate values of the Mahalanobis' distances to all locations not yet drilled. The probability that an undrilled locality belongs to the productive class can be found, using the kriging estimation variances to assess the probability of misclassification. Finally, Bayes' relationship can be used to determine the probability that an undrilled location will be a discovery, regardless of the production class in which it is placed. The method is illustrated with a study of oil prospects in the Lansing/Kansas City interval of western Kansas, using geological variables derived from well logs.  相似文献   

论湖南省泥盆系层控矿床的分类     

王甫仁  匡耀求 《湖南地质》1990,9(1):28-34

本文就不同学者所提出的层控矿床分类方案进行了综合评述,论述了作者们近年来研究湖南省泥盆系层控矿床提出的一种新的分类方案,将其分为沉积—改造型(简称改造型)、后成渗滤热液型(简称渗滤型)和岩浆热液叠加型(简称叠加型)三大类;然后根据矿种及成矿元素组合分成若干类,再根据矿体形态及矿体与赋矿地层的整合关系分成若干小类。并就湖南省泥盆系内产出的矿床作了具体划分,总结了各类矿床的特点与区分标志。改造型矿床主要是黄铁矿床,矿质来自泥盆系,成矿受沉积相和同沉积断裂控制,渗滤型矿床主要为铅锌、锑、金矿床,矿质来自下伏岩层,成矿受成岩后长期活动断裂控制,叠加型矿床主要为钨、铅锌、磁黄铁矿等矿床,矿质主要来自燕山期岩体,成矿受燕山期断裂和岩浆作用控制。该分类对指导层控矿床的找矿勘探具有重要意义。  相似文献   

Current Research Status and Prospect of Tectonically Deformed Coal     

Jiang Bo  Li Ming  Qu Zhenghui  Liu Jiegang  Li Wu 《地球科学进展》2016,31(4):335-346

A number of studies have shown that development areas of weak deformation brittle series of tectonically deformed coal are often the favorable areas for coalbed methane development, and the distribution area of the mylonitic coal of ductile deformation is a danger zone of mine gas outburst. Therefore, faced with solving the key scientific issues and technical problems of the coal bed methane exploration and development and gas outburst prediction and evaluation, more and more attention has been paid to the research on tectonically deformed coal. This paper first systematically elaborated the main research progress on the concept and classification of tectonically deformed coals, their deformation characteristics, and the pore fissure structure and chemical structure. Then, it pointed out that there was a lack of research on the ductile deformation mechanism of coal, and this key scientific problem needs further research in the future. It seemed that the structural and geochemical process of chemical elements migration and accumulation during coal deformation was a new field which is worth exploring. Through refining stress sensitive elements, their distribution and evolution patterns in different stress-strain environments and different types of tectonically deformed coals might be revealed, and then they could become a predictive index which indicates the significance of distribution of tectonically deformed coals and gas outburst prediction. It was thought that geophysical response characteristics and research of detection theory and interpretation method of different types of tectonically deformed coal and gas enrichment area should be an important development direction in the future.  相似文献   

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments     

《International Journal of Applied Earth Observation and Geoinformation》2016

Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in remote sensing classification, especially for high-resolution imagery. Many supervised classification approaches are applied to objects rather than pixels, and several studies have been conducted to evaluate the performance of such supervised classification techniques in GEOBIA. However, these studies did not systematically investigate all relevant factors affecting the classification (segmentation scale, training set size, feature selection and mixed objects). In this study, statistical methods and visual inspection were used to compare these factors systematically in two agricultural case studies in China. The results indicate that Random Forest (RF) and Support Vector Machines (SVM) are highly suitable for GEOBIA classifications in agricultural areas and confirm the expected general tendency, namely that the overall accuracies decline with increasing segmentation scale. All other investigated methods except for RF and SVM are more prone to obtain a lower accuracy due to the broken objects at fine scales. In contrast to some previous studies, the RF classifiers yielded the best results and the k-nearest neighbor classifier were the worst results, in most cases. Likewise, the RF and Decision Tree classifiers are the most robust with or without feature selection. The results of training sample analyses indicated that the RF and adaboost. M1 possess a superior generalization capability, except when dealing with small training sample sizes. Furthermore, the classification accuracies were directly related to the homogeneity/heterogeneity of the segmented objects for all classifiers. Finally, it was suggested that RF should be considered in most cases for agricultural mapping.  相似文献   

中国沿海螠虫动物（螠虫动物门）名录     

王玮  周红  李凤鲁 《海洋科学进展》1995,(4)

本文取１９８０～１９８９年间在我国沿海进行　虫动物区系调查的标本和有关资料做了整理、鉴定，共１１种，分隶于２目，２科，８属．  相似文献   

南极航线和航区环境概述     

王殿昌  施国强 《海洋预报》1994,11(4):39-46

本文汇集了我国南极科学考察前十年（１９８４－１９９３年）的南极考察航线，根据航区和任务，对南极航线进行了分类：对各航区中影响航行的海洋环境状况－诸如低纬地区的热带气旋，中纬地区的温带气旋和高纬地区的绕极气旋等主要灾害性天气系统的生成源地，移动路么荼了介绍；文中还着得活冰的增，减期和浮冰边缘线进行了描述。以求达到对过去十年南极考察航线作出比较客观的评价。  相似文献   

Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping     

D. Scott Lee  Jie Shan 《Marine Geodesy》2003,26(1):117-127

This article studies the effect of airborne lidar (surface) elevation data on the classification of multispectral IKONOS images over a coastal area. The lidar data and IKONOS images are treated as independent multiple bands to conduct the classification. To do so, the lidar elevation data is first resampled to the same ground spacing interval and stretched to the same radiometric range as the IKONOS images. An unsupervised classification based on the ISODATA algorithm is then used to determine a class schema of six classes: road, water, marsh, roof, tree, and sand. Training sites and checking sites are selected over the lidar-IKONOS merged data set for the subsequent supervised classification and quality evaluation. The complete confusion matrices and average quality indices are presented to assess and compare the classification results. It is shown that the inclusion of the lidar elevation data benefits the separation of classes that have similar spectral characteristics, such as roof and road, water and marsh. The overall classification errors, especially the false positive errors, are reduced by up to 50%. Moreover, by using the lidar elevation data, the classification results show more realistic and homogeneous distribution of geographic features. This property will benefit the subsequent vectorization of the classification maps and the integration of the vector data into a geographical information system.  相似文献